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Daily SMAThis pine script on intraday chart is exactly the same SMA as built-in MovingAverage on a 1Day chart (with the same lengths)
Western Astrological Cycle Trading Indicator v1.0Western Astrological Cycle Trading Indicator v1.0
Overview
The Western Astrological Cycle Trading Indicator is a comprehensive Pine Script tool that overlays astrological cycles and predictions onto trading charts. It integrates Western astrological theory with technical analysis to provide unique cyclical perspectives on market movements based on planetary and zodiacal alignments.
What It Does
Core Functionality
Astrological Year Mapping:
Assigns each year (2000 onward) a specific planet-zodiac combination
Follows a 10-year planetary cycle and 12-year zodiac cycle
Generates theoretical market predictions based on these combinations
Visual Elements:
Background coloring based on yearly astrological predictions
Detailed information table with comprehensive astrological data
Year labels with zodiac symbols and predictions
Ten-year planetary cycle progress bar
Important year markers (Jupiter, Neptune, etc.)
Astrological calendar showing daily and monthly phases
Trading Insights:
Trend indicators (Bullish/Neutral/Bearish) based on planetary positions
Confidence levels for predictions
Element relationships affecting financial markets
Historical and future astrological phase tracking
How It Works
Technical Implementation
1. Cycle Calculation System
Planetary Cycle: 10-year rotation (Sun, Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto)
Zodiac Cycle: 12-year rotation through all zodiac signs
Calculation:
pinescript
planetIndex = math.floor((year - 2000) % 10)
zodiacIndex = math.floor((year - 2000) % 12)
2. Prediction Engine
Each planet-zodiac combination generates specific predictions
Confidence scores (0-100%) assigned to each prediction
Trend direction determined by planetary attributes:
Bullish: Sun, Jupiter, Venus
Bearish: Mars, Saturn, Pluto
Neutral: Mercury, Uranus, Neptune
3. Visual Rendering System
Multiple label positioning algorithms to prevent overlap
Dynamic table generation with color-coded cells
Progress bar visualization of cycle completion
Time-aware markers that appear only on year transitions
4. Date Management
Comprehensive date calculation functions
Leap year detection
Day/month/year progression tracking
Future/past date predictions
Astrological Logic
The indicator uses traditional Western astrological correspondences:
Planets represent different market energies
Zodiac signs modify and color these energies
Elements (Fire, Earth, Air, Water) show elemental relationships
Modalities (Cardinal, Fixed, Mutable) indicate the nature of change
How to Use It
Installation
Open TradingView platform
Navigate to Pine Editor
Paste the entire script
Click "Add to Chart"
Configuration
Basic Settings
Show Background Color: Toggle prediction-based background coloring
Show Info Table: Display/hide the comprehensive information table
Show Year Labels: Toggle yearly astrological labels on the chart
Customization Options
Year Label Settings:
Choose label color
Adjust font size (small/normal/large)
Toggle year numbers and zodiac symbols
Planetary Cycle Progress:
Display ten-year cycle progress bar
Customize progress bar colors
Adjust position on chart
Marker Lines:
Toggle individual planet markers (Jupiter, Venus/Mars, Saturn/Uranus, Neptune)
Customize marker colors and positions
Adjust marker font sizes
Additional Elements:
Disclaimer display
Trend indicator
Element relationship hints
Current year information
Interpretation Guide
Reading the Information Table
The table provides:
Astro Year: Current planet-zodiac combination
Trend: Bullish/Neutral/Bearish direction
Theoretical Forecast: Market prediction based on astrology
Confidence: Probability score of prediction
Cycle Progress: Position in 10-year planetary cycle
Element Relation: How current element interacts with financial markets
Understanding Visual Elements
Background Colors:
Orange/Green: Bullish years (Sun, Jupiter, Venus)
Red/Brown: Bearish years (Mars, Saturn, Pluto)
Blue/Purple: Neutral/transitional years
Year Labels:
Appear at year transitions
Show planet-zodiac combination
Include prediction summary
Special Markers:
Jupiter Years: Blue markers - potential expansion/bull markets
Neptune Years: Purple markers - cycle endings/uncertainty
Saturn/Uranus Years: Red markers - contraction/revolution
Progress Bar:
Shows current position in 10-year cycle
Indicates years remaining to next Jupiter year
Using the Astrological Calendar
The bottom-right calendar shows:
Daily phases: Current planetary influences
Monthly phases: Broader monthly trends
Trend signals: Daily/monthly direction indicators
Quarterly overview: Longer-term perspectives
Practical Trading Application
Long-term Planning:
Use Jupiter year markers for potential bull market entries
Be cautious during Saturn/Pluto years (potential bear markets)
Note cycle transitions (Neptune years) for market shifts
Medium-term Analysis:
Consider monthly planetary changes for quarterly planning
Use element relationships to understand sector rotations
Short-term Awareness:
Check daily phases for potential reversal days
Monitor trend changes at month transitions
Risk Management:
Reduce position size during low-confidence periods
Increase vigilance during transition years
Use astrological signals as confluence with technical analysis
Alerts System
Enable alerts to receive notifications for:
Year transitions
Important astrological events
Cycle beginnings/endings
Important Notes
Theoretical Nature: This indicator is based on astrological theory, not financial advice
Confluence Trading: Use alongside traditional technical analysis
Backtesting: Always test strategies before live implementation
Risk Management: Never rely solely on astrological signals for trading decisions
Customization Tips
Label Overlap: Adjust label spacing if labels overlap
Performance: Reduce max_lines_count/max_labels_count if experiencing lag
Color Schemes: Customize colors to match your chart theme
Positioning: Adjust marker positions based on your chart's volatility
Disclaimer
This indicator is for educational and research purposes only. It combines astrological theory with technical analysis for experimental purposes. Past performance does not guarantee future results. Always conduct your own research and consult with financial advisors before making trading decisions.
Swing Trading Indicator: RSI + EMA + MACD + BB Signals**Swing Trading Indicator: Multi-Indicator Confluence Signals**
This indicator identifies high-probability swing trading setups using RSI pullbacks, EMA trend filter, MACD momentum confirmation, and Bollinger Bands for volatility-based entries. Perfect for daily/4H charts on stocks like TSLA or SPY.
**Key Features:**
- **Long Signal (Green ↑ Arrow)**: Uptrend (above 200 EMA) + RSI crosses above oversold (default 30) + MACD bullish crossover + Price at/near BB lower band + Optional squeeze filter.
- **Short Signal (Red ↓ Arrow)**: Mirror for downtrends.
- **Real-Time Dashboard**: Top-right table shows condition status (✓/✗) and "LONG/SHORT READY" alerts.
- **Customizable**: Adjust RSI levels, BB multiplier, enable/disable shorts/squeeze/arrows.
- **Alerts**: Built-in for entry notifications.
**How to Use:**
1. Add to chart (daily timeframe recommended).
2. Watch for arrows + "READY" in dashboard.
3. Manual entry: Risk 1% per trade, target 1:2 reward (e.g., trail stops).
**Backtest Note**: Based on similar setups, ~55-65% win rate in trending markets (test yourself). Not financial advice—trading involves risk. Fork and improve!
#swingtrading #RSI #MACD #BollingerBands #PineScript
Vega V6 Regime Filter [Institutional Lite]STOP TRADING THE NOISE.
90% of retail trading losses occur during "Chop"—sideways markets where standard trend-following bots bleed capital through slippage and fees. Institutional desks know that the secret to high returns isn't just winning trades; it's knowing when to sit in cash.
The Vega V6 Regime Filter is the "Gatekeeper" layer of our proprietary Hierarchical Machine Learning engine (developed by a 25-year TradFi Risk Quant). It calculates a composite volatility score to answer one simple question: Is this asset tradeable right now?
THE VISUAL LOGIC
This indicator visually filters market conditions into two distinct Regimes based on our institutional backtests:
🌫️ GREY BARS (Noise / Chop)
The State: Volatility is compressing. The trend is undefined or weak.
The Trap: This is where MACD/RSI give false signals.
Institutional Action: Sit in Cash. Preserve Capital. Wait.
🟢 🔴 COLORED BARS (Impulse)
The State: Volatility is expanding. Momentum is statistically significant.
The Opportunity: A "Fat-Tail" move is likely beginning.
Institutional Action: Deploy Risk. Look for entries.
HOW IT WORKS (The Math)
Unlike simple moving average crossovers, the Vega Gatekeeper analyzes 4 distinct market dimensions simultaneously to generate a Tradeability Score (0-10) :
Trend Strength (ADX): Is there a vector?
Momentum (RSI/MACD): Is the move accelerating?
Volatility (Bollinger Bands): Is the range expanding?
Volume Flow: Is there institutional participation?
The Rule: If the composite score is < 4 , the market is Noise. The bars turn Grey. You do nothing.
BEST PRACTICES
For Swing Trading (Daily): Use Medium sensitivity. Only look for entries when the background turns Green/Red.
For Day Trading (4H/1H): Use Low sensitivity (more conservative). Use the Grey zones to tighten stops or exit positions.
THE PHILOSOPHY: "CASH IS A POSITION"
Most traders feel the need to be in a trade 24/7. The Vega V6 Engine (the system this tool is based on) achieved a +3,849% backtested return (18 months) largely by sitting in cash during chop. This tool visualizes that discipline.
🔒 WANT THE DIRECTIONAL SIGNALS?
This Lite version provides the Regime (When to trade).
To get the specific Entry Signals , Intraday Stop-Losses , and Probability Matrix (Stage 2 of our model), you need the Vega V6 Convexity Engine .
The Pro Version includes:
🚀 Specific Direction: Classification of "Explosion," "Rally," or "Crash."
🛡️ Dynamic Risk: Plots the exact Stop Loss levels used in our institutional backtests.
🌊 Macro Data: Integration of M2 Liquidity flow alerts.
👉 ACCESS INSTRUCTIONS:
Links to the Pro System , our Live Dashboard , and the 18-Month Performance Audit can be found in the Author Profile below or in the script settings.
Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results. Trading cryptocurrencies involves significant risk.
Proxy Index [MTF]Description This indicator is a specialized implementation of the Proxy Index, a market timing tool originally conceptualized by Larry Williams. It is designed to identify potential market reversals by analyzing the relationship between price momentum and real volatility.
Unlike standard oscillators that look at absolute price levels, the Proxy Index measures the duration and intensity of price movement relative to the asset's specific volatility.
Underlying Concepts & Methodology The script operates by normalizing price action against volatility. The calculation logic is as follows:
Momentum Component: The script first calculates the net movement of each bar (Close minus Open) to determine the true directional strength, ignoring gaps.
Smoothing: This raw momentum is smoothed using a Moving Average (default 8-period) to filter out market noise.
Volatility Normalization (ATR): The smoothed value is then divided by the Average True Range (ATR).
Significance: This step adjusts the indicator for changing market conditions. A 50-point move is treated differently in a low-volatility environment versus a high-volatility one.
MTF Dashboard: A built-in table monitors this calculation across Daily, Weekly, and Monthly timeframes simultaneously.
How to Use
Buy Zone (≤ 30): Indicates the asset is historically cheap/oversold relative to its recent volatility.
Sell Zone (≥ 70): Indicates the asset is historically expensive/overbought relative to its recent volatility.
Divergences: Strong signals occur when Price makes a new High/Low, but the Proxy Index fails to confirm it, indicating exhaustion.
Settings
Timeframes: Fully customizable MTF table.
Colors: Dynamic coloring based on Overbought/Oversold zones.
Portugês
Descrição Este indicador é uma implementação especializada do Proxy Index, uma ferramenta de timing de mercado originalmente conceituada por Larry Williams. Ele foi projetado para identificar potenciais reversões de mercado analisando a relação entre o momentum do preço e a volatilidade real.
Ao contrário de osciladores padrão, o Proxy Index mede a duração e intensidade do movimento do preço em relação à volatilidade específica do ativo.
Metodologia
Componente de Momentum: Calcula o movimento líquido da barra (Fechamento - Abertura).
Normalização pela Volatilidade: O valor é dividido pelo ATR (Average True Range). Isso ajusta o indicador para as condições atuais do mercado.
Tabela MTF: Monitora esses dados em múltiplos tempos gráficos simultaneamente.
Como Usar
Zona de Compra (≤ 30): Ativo "barato" em relação à volatilidade.
Zona de Venda (≥ 70): Ativo "caro" em relação à volatilidade.
3. Categorias (Categories)
Marque estas 3 opções (são as que melhor descrevem a matemática do script):
✅ Volatility (Volatilidade) - Pois usa ATR.
✅ Oscillators (Osciladores) - Pois oscila entre 0 e 100.
✅ Trend Analysis (Análise de Tendência) - Pois identifica reversões.
[Yorsh] BJN iFVG Model BJN iFVG Model - Mechanical Trading System
Description:
The BJN iFVG Model is not just an indicator; it is a full-scale, semi-automated trading architecture designed to mechanically execute the specific "BJN" Inverted FVG strategy.
Designed for precision traders operating on Lower Timeframes (1m to 5m), this script eliminates the cognitive load of manual analysis. It automates every single step of the mechanical model—from Higher Timeframe narrative building to tick-perfect structural validation and risk calculation.
This tool transforms your chart into a professional trading cockpit, split into three intelligent engines:
1. The Matrix (Context Engine)
Before looking for an entry, you must understand the narrative. The Matrix handles the heavy lifting of multi-timeframe analysis without cluttering your chart:
Real-Time Delivery State: Automatically detects if price is reacting from valid HTF PD Arrays (1H, 4H, Daily) to confirm a "Delivery" state.
Liquidity Sweeps: Tracks Fractals across three dimensions (1H, 15m, and Micro-Structure) to identify liquidity raids instantly.
Advanced SMT Divergence: A built-in, multi-mode SMT engine scans for correlation breaks (Pivot SMT, Adjacent Wick SMT, and FVG SMT) between NQ/ES (or custom tickers) in real-time.
Time & Macro Tracking: Automatically visualizes Killzones and highlights high-probability Macro windows.
2. The Executioner (Entry Engine)
Once the context is set, the Executioner handles the specific Inverted FVG (iFVG) entry model with strict mechanical rules:
Structural Integrity: Automatically identifies the Invalidation Point (IP), Floor/Ceiling, and Break-Even levels for every setup.
Hazard Detection: The script proactively scans the "Trading Leg" for opposing unmitigated FVGs (Hazards). If the path isn't clean, the trade is flagged or invalidated.
Composite Logic: Intelligently merges "noisy" price action into Composite FVGs to reduce false signals.
Integrated Position Sizer: When a trade is confirmed, a visual box appears showing your precise Entry, Stop Loss, Hard Stop, and Take Profit levels, along with a calculated Contract Quantity based on your risk tolerance.
3. The Ranking System (Quality Control)
Not all trades are created equal. This system grades every single confirmed setup in real-time based on confluence factors:
Grades: Ranges from A++ (Perfect Confluence) to C (Low Probability).
Confluence Check: Checks for Delivery, Sweeps (HTF/LTF), SMT, and Macro alignment at the exact moment of the trigger.
Live Status Panel: A dashboard on your chart displays the current live trade status (Armed, Triggered, Confirmed) and its Rank, so you never miss a beat.
Optimization & Performance
Trading on the 1-minute timeframe requires speed. This script has been rigorously optimized for high-frequency environments:
Smart Garbage Collection: The script manages its own memory, cleaning up old data arrays to prevent lag, ensuring the chart remains fluid even after days of data accumulation.
Tunnel Vision: Calculations are strictly focused on the relevant trading leg, ignoring historical noise to maximize execution speed.
Zero-Repaint: All historical analysis is strictly non-repainting to ensure backtesting reliability.
How to Use
Timeframes: Optimized for 1m, 2m, 3m, 4m, 5m execution.
Alerts: Configure the robust alert system to notify you only when setups meet your standards (e.g., "Alert only on Rank B+ or higher").
Strategy: Wait for the Status Panel to show a "CONFIRMED" signal. Use the on-screen Position Sizer to execute the trade with the displayed risk parameters.
Stop analyzing; start executing. Welcome to mechanical trading.
----------------------------------------------------------------------------------------------------------------
RISK DISCLAIMER:
The content, tools, and signals generated by this script are strictly for educational and informational purposes only. This script does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any securities, futures, or other financial instruments.
Trading financial markets involves a high degree of risk and is not suitable for all investors. The "Position Sizer" and "Trade Setups" displayed are hypothetical simulations designed to demonstrate the mechanics of the BJN methodology; they do not guarantee future performance.
Use this tool at your own risk. The author assumes no responsibility or liability for any trading losses or damages incurred in connection with the use of this script. Always consult with a qualified financial advisor and practice proper risk management.
Valuation Multi-Asset [MTF]Description This indicator is a specialized Intermarket Analysis tool designed to determine the relative valuation of an asset by comparing its performance against key global benchmarks (Currency, Commodities, Bonds, and Sector ETFs).
Unlike standard oscillators (like RSI) that only look at the asset's own price, this script calculates a Relative Value Index.
Underlying Concepts & Methodology The script operates on the principle of asset correlation and mean reversion ratios. The calculation logic follows these steps:
Ratio Calculation: It computes the price ratio between the Chart Asset and a Benchmark Asset (e.g., Symbol / DXY).
Smoothing: It applies a double smoothing method using Exponential Moving Averages (EMAs) to filter out short-term noise from the ratio.
Historical Normalization: Based on valuation theories (inspired by concepts like Larry Williams' valuation window), the script normalizes the smoothed ratio over a user-defined lookback period (default is 3 years/156 weeks). This ranks the current relative value between 0 and 100.
Key Features
Multi-Benchmark Comparison: Automatically compares the asset against the Dollar Index (DXY), Gold (GC1!), Bonds (ZB1!), and Sector ETFs.
MTF Dashboard: Includes a Multi-Timeframe table to see valuation status across Daily, Weekly, and Monthly views simultaneously.
ETF Reference: A built-in reference table to help you quickly find the correct Sector ETF for stock correlation.
How to Use
Undervalued Zone (< 15): When the line turns Green (or enters the bottom zone), the asset is historically cheap relative to the benchmark. This often indicates a potential accumulation or reversal point.
Overvalued Zone (> 85): When the line turns Red (or enters the top zone), the asset is historically expensive relative to the benchmark, suggesting potential distribution.
Divergences: Watch for divergences between the asset price and the Valuation Index (e.g., Price makes a new high, but the Valuation Index against Gold makes a lower high).
Settings
You can toggle individual benchmark lines (Asset 1 to 4).
Adjust the "Lookback Period" to change the historical normalization window.
Customize the Overbought/Oversold thresholds.
Khango's Key//@version=5
//@sbtnc thank you for doing the base code
//Added additional levels for convienience sake.
indicator('Key Levels SpacemanBTC IDWM', shorttitle='Khangos Key', overlay=true, max_lines_count=100)
//35 works
displayStyle = input.string(defval='Standard', title='Display Style', options= , inline='Display')
mergebool = input.bool(defval=true, title='Merge Levels?', inline='Display')
distanceright = input.int(defval=30, title='Distance', minval=5, maxval=500, inline='Dist')
radistance = input.int(defval=250, title='Anchor Distance', minval=5, maxval=500, inline='Dist')
labelsize = input.string(defval='Medium', title='Text Size', options= )
linesize = input.string(defval='Small', title='Line Width', options= , inline='Line')
linestyle = input.string(defval='Solid', title='Line Style', options= , inline='Line')
GlobalTextType = input.bool(defval=false, title='Global Text ShortHand', tooltip='Enable for shorthand text on all text')
var globalcoloring = input.bool(defval=false, title='Global Coloring', tooltip='Enable for all color controls via one color', inline='GC')
GlobalColor = input.color(title='', defval=color.white, inline='GC')
//var show_tails = input(defval = false, title = "Always Show", type = input.bool)
= request.security(syminfo.tickerid, 'D', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'D', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'D', [time , low ], lookahead=barmerge.lookahead_on)
cdailyh_open = request.security(syminfo.tickerid, 'D', high, lookahead=barmerge.lookahead_on)
cdailyl_open = request.security(syminfo.tickerid, 'D', low, lookahead=barmerge.lookahead_on)
var monday_time = time
var monday_high = high
var monday_low = low
= request.security(syminfo.tickerid, 'W', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'W', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'W', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '12M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '12M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '12M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', [time , low ], lookahead=barmerge.lookahead_on)
//------------------------------ Inputs -------------------------------
var is_intra_enabled = input.bool(defval=false, title='Open', group='4H', inline='4H')
var is_intrarange_enabled = input.bool(defval=false, title='Prev H/L', group='4H', inline='4H')
var is_intram_enabled = input.bool(defval=false, title='Prev Mid', group='4H', inline='4H')
IntraTextType = input.bool(defval=false, title='ShortHand', group='4H', inline='4Hsh')
var is_daily_enabled = input.bool(defval=true, title='Open', group='Daily', inline='Daily')
var is_dailyrange_enabled = input.bool(defval=false, title='Prev H/L', group='Daily', inline='Daily')
var is_dailym_enabled = input.bool(defval=false, title='Prev Mid', group='Daily', inline='Daily')
DailyTextType = input.bool(defval=false, title='ShortHand', group='Daily', inline='Dailysh')
var is_monday_enabled = input.bool(defval=true, title='Range', group='Monday Range', inline='Monday')
var is_monday_mid = input.bool(defval=true, title='Mid', group='Monday Range', inline='Monday')
var untested_monday = false
MondayTextType = input.bool(defval=false, title='ShortHand', group='Monday Range', inline='Mondaysh')
var is_weekly_enabled = input.bool(defval=true, title='Open', group='Weekly', inline='Weekly')
var is_weeklyrange_enabled = input.bool(defval=true, title='Prev H/L', group='Weekly', inline='Weekly')
var is_weekly_mid = input.bool(defval=true, title='Prev Mid', group='Weekly', inline='Weekly')
WeeklyTextType = input.bool(defval=false, title='ShortHand', group='Weekly', inline='Weeklysh')
var is_monthly_enabled = input.bool(defval=true, title='Open', group='Monthly', inline='Monthly')
var is_monthlyrange_enabled = input.bool(defval=true, title='Prev H/L', group='Monthly', inline='Monthly')
var is_monthly_mid = input.bool(defval=true, title='Prev Mid', group='Monthly', inline='Monthly')
MonthlyTextType = input.bool(defval=false, title='ShortHand', group='Monthly', inline='Monthlysh')
var is_quarterly_enabled = input.bool(defval=true, title='Open', group='Quarterly', inline='Quarterly')
var is_quarterlyrange_enabled = input.bool(defval=false, title='Prev H/L', group='Quarterly', inline='Quarterly')
var is_quarterly_mid = input.bool(defval=true, title='Prev Mid', group='Quarterly', inline='Quarterly')
QuarterlyTextType = input.bool(defval=false, title='ShortHand', group='Quarterly', inline='Quarterlysh')
var is_yearly_enabled = input.bool(defval=true, title='Open', group='Yearly', inline='Yearly')
var is_yearlyrange_enabled = input.bool(defval=false, title='Current H/L', group='Yearly', inline='Yearly')
var is_yearly_mid = input.bool(defval=true, title='Mid', group='Yearly', inline='Yearly')
YearlyTextType = input.bool(defval=false, title='ShortHand', group='Yearly', inline='Yearlysh')
var is_londonrange_enabled = input.bool(defval=false, title='London Range', group='FX Sessions', inline='FX')
var is_usrange_enabled = input.bool(defval=false, title='New York Range', group='FX Sessions', inline='FX')
var is_asiarange_enabled = input.bool(defval=false, title='Asia Range', group='FX Sessions', inline='FX')
SessionTextType = input.bool(defval=false, title='ShortHand', group='FX Sessions', inline='FXColor')
Londont = input.session("0800-1600", "London Session")
USt = input.session("1400-2100", "New York Session")
Asiat = input.session("0000-0900", "Tokyo Session")
DailyColor = input.color(title='', defval=#08bcd4, group='Daily', inline='Dailysh')
MondayColor = input.color(title='', defval=color.white, group='Monday Range', inline='Mondaysh')
WeeklyColor = input.color(title='', defval=#fffcbc, group='Weekly', inline='Weeklysh')
MonthlyColor = input.color(title='', defval=#08d48c, group='Monthly', inline='Monthlysh')
YearlyColor = input.color(title='', defval=color.red, group='Yearly', inline='Yearlysh')
quarterlyColor = input.color(title='', defval=color.red, group='Quarterly', inline='Quarterlysh')
IntraColor = input.color(title='', defval=color.orange, group='4H', inline='4Hsh')
LondonColor = input.color(title='', defval=color.white, group='FX Sessions', inline='FXColor')
USColor = input.color(title='', defval=color.white, group='FX Sessions', inline='FXColor')
AsiaColor = input.color(title='', defval=color.white, group='FX Sessions', inline='FXColor')
var pdhtext = GlobalTextType or DailyTextType ? 'PDH' : 'Prev Day High'
var pdltext = GlobalTextType or DailyTextType ? 'PDL' : 'Prev Day Low'
var dotext = GlobalTextType or DailyTextType ? 'DO' : 'Daily Open'
var pdmtext = GlobalTextType or DailyTextType ? 'PDM' : 'Prev Day Mid'
var pwhtext = GlobalTextType or WeeklyTextType ? 'PWH' : 'Prev Week High'
var pwltext = GlobalTextType or WeeklyTextType ? 'PWL' : 'Prev Week Low'
var wotext = GlobalTextType or WeeklyTextType ? 'WO' : 'Weekly Open'
var pwmtext = GlobalTextType or WeeklyTextType ? 'PWM' : 'Prev Week Mid'
var pmhtext = GlobalTextType or MonthlyTextType ? 'PMH' : 'Prev Month High'
var pmltext = GlobalTextType or MonthlyTextType ? 'PML' : 'Prev Month Low'
var motext = GlobalTextType or MonthlyTextType ? 'MO' : 'Monthly Open'
var pmmtext = GlobalTextType or MonthlyTextType ? 'PMM' : 'Prev Month Mid'
var pqhtext = GlobalTextType or QuarterlyTextType ? 'PQH' : 'Prev Quarter High'
var pqltext = GlobalTextType or QuarterlyTextType ? 'PQL' : 'Prev Quarter Low'
var qotext = GlobalTextType or QuarterlyTextType ? 'QO' : 'Quarterly Open'
var pqmtext = GlobalTextType or QuarterlyTextType ? 'PQM' : 'Prev Quarter Mid'
var cyhtext = GlobalTextType or YearlyTextType ? 'CYH' : 'Current Year High'
var cyltext = GlobalTextType or YearlyTextType ? 'CYL' : 'Current Year Low'
var yotext = GlobalTextType or YearlyTextType ? 'YO' : 'Yearly Open'
var cymtext = GlobalTextType or YearlyTextType ? 'CYM' : 'Current Year Mid'
var pihtext = GlobalTextType or IntraTextType ? 'P-4H-H' : 'Prev 4H High'
var piltext = GlobalTextType or IntraTextType ? 'P-4H-L' : 'Prev 4H Low'
var iotext = GlobalTextType or IntraTextType ? '4H-O' : '4H Open'
var pimtext = GlobalTextType or IntraTextType ? 'P-4H-M' : 'Prev 4H Mid'
var pmonhtext = GlobalTextType or MondayTextType ? 'MDAY-H' : 'Monday High'
var pmonltext = GlobalTextType or MondayTextType ? 'MDAY-L' : 'Monday Low'
var pmonmtext = GlobalTextType or MondayTextType ? 'MDAY-M' : 'Monday Mid'
var lhtext = GlobalTextType or SessionTextType ? 'Lon-H' : 'London High'
var lltext = GlobalTextType or SessionTextType ? 'Lon-L' : 'London Low'
var lotext = GlobalTextType or SessionTextType ? 'Lon-O' : 'London Open'
var ushtext = GlobalTextType or SessionTextType ? 'NY-H' : 'New York High'
var usltext = GlobalTextType or SessionTextType ? 'NY-L' : 'New York Low'
var usotext = GlobalTextType or SessionTextType ? 'NY-O' : 'New York Open'
var asiahtext = GlobalTextType or SessionTextType ? 'AS-H' : 'Asia High'
var asialtext = GlobalTextType or SessionTextType ? 'AS-L' : 'Asia Low'
var asiaotext = GlobalTextType or SessionTextType ? 'AS-O' : 'Asia Open'
if globalcoloring == true
DailyColor := GlobalColor
MondayColor := GlobalColor
WeeklyColor := GlobalColor
MonthlyColor := GlobalColor
YearlyColor := GlobalColor
quarterlyColor := GlobalColor
IntraColor := GlobalColor
IntraColor
if weekly_time != weekly_time
untested_monday := false
untested_monday
if is_monday_enabled == true and untested_monday == false
untested_monday := true
monday_time := daily_time
monday_high := cdailyh_open
monday_low := cdailyl_open
monday_low
linewidthint = 1
if linesize == 'Small'
linewidthint := 1
linewidthint
if linesize == 'Medium'
linewidthint := 2
linewidthint
if linesize == 'Large'
linewidthint := 3
linewidthint
var DEFAULT_LINE_WIDTH = linewidthint
var DEFAULT_TAIL_WIDTH = linewidthint
fontsize = size.small
if labelsize == 'Small'
fontsize := size.small
fontsize
if labelsize == 'Medium'
fontsize := size.normal
fontsize
if labelsize == 'Large'
fontsize := size.large
fontsize
linestyles = line.style_solid
if linestyle == 'Dashed'
linestyles := line.style_dashed
linestyles
if linestyle == 'Dotted'
linestyles := line.style_dotted
linestyles
var DEFAULT_LABEL_SIZE = fontsize
var DEFAULT_LABEL_STYLE = label.style_none
var DEFAULT_EXTEND_RIGHT = distanceright
London = time(timeframe.period, Londont)
US = time(timeframe.period, USt)
Asia = time(timeframe.period, Asiat)
var clondonhigh = 0.0
var clondonlow = close
var londontime = time
var flondonhigh = 0.0
var flondonlow = 0.0
var flondonopen = 0.0
var onelondonfalse = false
if London
if high > clondonhigh
clondonhigh := high
clondonhigh
if low < clondonlow
clondonlow := low
clondonlow
if onelondonfalse
londontime := time
flondonopen := open
flondonopen
flondonhigh := clondonhigh
flondonlow := clondonlow
onelondonfalse := false
onelondonfalse
else
if onelondonfalse == false
flondonhigh := clondonhigh
flondonlow := clondonlow
flondonlow
onelondonfalse := true
clondonhigh := 0.0
clondonlow := close
clondonlow
//////////////////////////////////
var cushigh = 0.0
var cuslow = close
var ustime = time
var fushigh = 0.0
var fuslow = 0.0
var fusopen = 0.0
var oneusfalse = false
if US
if high > cushigh
cushigh := high
cushigh
if low < cuslow
cuslow := low
cuslow
if oneusfalse
ustime := time
fusopen := open
fusopen
fushigh := cushigh
fuslow := cuslow
oneusfalse := false
oneusfalse
else
if oneusfalse == false
fushigh := cushigh
fuslow := cuslow
fuslow
oneusfalse := true
cushigh := 0.0
cuslow := close
cuslow
//////////////////////////////////
var casiahigh = 0.0
var casialow = close
var asiatime = time
var fasiahigh = 0.0
var fasialow = 0.0
var fasiaopen = 0.0
var oneasiafalse = false
if Asia
if high > casiahigh
casiahigh := high
casiahigh
if low < casialow
casialow := low
casialow
if oneasiafalse
asiatime := time
fasiaopen := open
fasiaopen
fasiahigh := casiahigh
fasialow := casialow
oneasiafalse := false
oneasiafalse
else
if oneasiafalse == false
fasiahigh := casiahigh
fasialow := casialow
fasialow
oneasiafalse := true
casiahigh := 0.0
casialow := close
casialow
//------------------------------ Plotting ------------------------------
var pricearray = array.new_float(0)
var labelarray = array.new_label(0)
f_LevelMerge(pricearray, labelarray, currentprice, currentlabel, currentcolor) =>
if array.includes(pricearray, currentprice)
whichindex = array.indexof(pricearray, currentprice)
labelhold = array.get(labelarray, whichindex)
whichtext = label.get_text(labelhold)
label.set_text(labelhold, label.get_text(currentlabel) + ' / ' + whichtext)
label.set_text(currentlabel, '')
label.set_textcolor(labelhold, currentcolor)
else
array.push(pricearray, currentprice)
array.push(labelarray, currentlabel)
var can_show_daily = is_daily_enabled and timeframe.isintraday
var can_show_weekly = is_weekly_enabled and not timeframe.isweekly and not timeframe.ismonthly
var can_show_monthly = is_monthly_enabled and not timeframe.ismonthly
get_limit_right(bars) =>
timenow + (time - time ) * bars
// the following code doesn't need to be processed on every candle
if barstate.islast
is_weekly_open = dayofweek == dayofweek.monday
is_monthly_open = dayofmonth == 1
can_draw_daily = (is_weekly_enabled ? not is_weekly_open : true) and (is_monthly_enabled ? not is_monthly_open : true)
can_draw_weekly = is_monthly_enabled ? not(is_monthly_open and is_weekly_open) : true
can_draw_intra = is_intra_enabled
can_draw_intrah = is_intrarange_enabled
can_draw_intral = is_intrarange_enabled
can_draw_intram = is_intram_enabled
pricearray := array.new_float(0)
labelarray := array.new_label(0)
/////////////////////////////////
if is_londonrange_enabled
//label.new(bar_index,high)
london_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
londontime := get_limit_right(radistance)
londontime
var londonh_line = line.new(x1=londontime, x2=london_limit_right, y1=flondonhigh, y2=flondonhigh, color=LondonColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var londonl_line = line.new(x1=londontime, x2=london_limit_right, y1=flondonlow, y2=flondonlow, color=LondonColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var londono_line = line.new(x1=londontime, x2=london_limit_right, y1=flondonopen, y2=flondonopen, color=LondonColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var londonh_label = label.new(x=london_limit_right, y=flondonhigh, text=lhtext, style=DEFAULT_LABEL_STYLE, textcolor=LondonColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
var londonl_label = label.new(x=london_limit_right, y=flondonlow, text=lltext, style=DEFAULT_LABEL_STYLE, textcolor=LondonColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
var londono_label = label.new(x=london_limit_right, y=flondonopen, text=lotext, style=DEFAULT_LABEL_STYLE, textcolor=LondonColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(londonh_line, londontime)
line.set_x2(londonh_line, london_limit_right)
line.set_y1(londonh_line, flondonhigh)
line.set_y2(londonh_line, flondonhigh)
line.set_x1(londonl_line, londontime)
line.set_x2(londonl_line, london_limit_right)
line.set_y1(londonl_line, flondonlow)
line.set_y2(londonl_line, flondonlow)
line.set_x1(londono_line, londontime)
line.set_x2(londono_line, london_limit_right)
line.set_y1(londono_line, flondonopen)
line.set_y2(londono_line, flondonopen)
label.set_x(londonh_label, london_limit_right)
label.set_y(londonh_label, flondonhigh)
label.set_text(londonh_label, lhtext)
label.set_x(londonl_label, london_limit_right)
label.set_y(londonl_label, flondonlow)
label.set_text(londonl_label, lltext)
label.set_x(londono_label, london_limit_right)
label.set_y(londono_label, flondonopen)
label.set_text(londono_label, lotext)
if mergebool
f_LevelMerge(pricearray, labelarray, flondonhigh, londonh_label, LondonColor)
f_LevelMerge(pricearray, labelarray, flondonlow, londonl_label, LondonColor)
f_LevelMerge(pricearray, labelarray, flondonopen, londono_label, LondonColor)
//////////////////////////////////////////////////////////////////////////////////
/////////////////////////////////
if is_usrange_enabled
//label.new(bar_index,high)
us_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
ustime := get_limit_right(radistance)
ustime
var ush_line = line.new(x1=ustime, x2=us_limit_right, y1=fushigh, y2=fushigh, color=USColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var usl_line = line.new(x1=ustime, x2=us_limit_right, y1=fuslow, y2=fuslow, color=USColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var uso_line = line.new(x1=ustime, x2=us_limit_right, y1=fusopen, y2=fusopen, color=USColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var ush_label = label.new(x=us_limit_right, y=fushigh, text=lhtext, style=DEFAULT_LABEL_STYLE, textcolor=USColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
var usl_label = label.new(x=us_limit_right, y=fuslow, text=lltext, style=DEFAULT_LABEL_STYLE, textcolor=USColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
var uso_label = label.new(x=us_limit_right, y=fusopen, text=lotext, style=DEFAULT_LABEL_STYLE, textcolor=USColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(ush_line, ustime)
line.set_x2(ush_line, us_limit_right)
line.set_y1(ush_line, fushigh)
line.set_y2(ush_line, fushigh)
line.set_x1(usl_line, ustime)
line.set_x2(usl_line, us_limit_right)
line.set_y1(usl_line, fuslow)
line.set_y2(usl_line, fuslow)
line.set_x1(uso_line, ustime)
line.set_x2(uso_line, us_limit_right)
line.set_y1(uso_line, fusopen)
line.set_y2(uso_line, fusopen)
label.set_x(ush_label, us_limit_right)
label.set_y(ush_label, fushigh)
label.set_text(ush_label, ushtext)
label.set_x(usl_label, us_limit_right)
label.set_y(usl_label, fuslow)
label.set_text(usl_label, usltext)
label.set_x(uso_label, us_limit_right)
label.set_y(uso_label, fusopen)
label.set_text(uso_label, usotext)
if mergebool
f_LevelMerge(pricearray, labelarray, fushigh, ush_label, USColor)
f_LevelMerge(pricearray, labelarray, fuslow, usl_label, USColor)
f_LevelMerge(pricearray, labelarray, fusopen, uso_label, USColor)
/////////////////////////////////
if is_asiarange_enabled
//label.new(bar_index,high)
asia_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
asiatime := get_limit_right(radistance)
asiatime
var asiah_line = line.new(x1=asiatime, x2=asia_limit_right, y1=fasiahigh, y2=fasiahigh, color=AsiaColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var asial_line = line.new(x1=asiatime, x2=asia_limit_right, y1=fasialow, y2=fasialow, color=AsiaColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var asiao_line = line.new(x1=asiatime, x2=asia_limit_right, y1=fasiaopen, y2=fasiaopen, color=AsiaColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var asiah_label = label.new(x=asia_limit_right, y=fasiahigh, text=asiahtext, style=DEFAULT_LABEL_STYLE, textcolor=AsiaColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
var asial_label = label.new(x=asia_limit_right, y=fasialow, text=asialtext, style=DEFAULT_LABEL_STYLE, textcolor=AsiaColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
var asiao_label = label.new(x=asia_limit_right, y=fasiaopen, text=asiaotext, style=DEFAULT_LABEL_STYLE, textcolor=AsiaColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(asiah_line, asiatime)
line.set_x2(asiah_line, asia_limit_right)
line.set_y1(asiah_line, fasiahigh)
line.set_y2(asiah_line, fasiahigh)
line.set_x1(asial_line, asiatime)
line.set_x2(asial_line, asia_limit_right)
line.set_y1(asial_line, fasialow)
line.set_y2(asial_line, fasialow)
line.set_x1(asiao_line, asiatime)
line.set_x2(asiao_line, asia_limit_right)
line.set_y1(asiao_line, fasiaopen)
line.set_y2(asiao_line, fasiaopen)
label.set_x(asiah_label, asia_limit_right)
label.set_y(asiah_label, fasiahigh)
label.set_text(asiah_label, asiahtext)
label.set_x(asial_label, asia_limit_right)
label.set_y(asial_label, fasialow)
label.set_text(asial_label, asialtext)
label.set_x(asiao_label, asia_limit_right)
label.set_y(asiao_label, fasiaopen)
label.set_text(asiao_label, asiaotext)
if mergebool
f_LevelMerge(pricearray, labelarray, fasiahigh, asiah_label, AsiaColor)
f_LevelMerge(pricearray, labelarray, fasialow, asial_label, AsiaColor)
f_LevelMerge(pricearray, labelarray, fasiaopen, asiao_label, AsiaColor)
//////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////////
if can_draw_intra
intra_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
intra_time := get_limit_right(radistance)
intra_time
var intra_line = line.new(x1=intra_time, x2=intra_limit_right, y1=intra_open, y2=intra_open, color=IntraColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var intra_label = label.new(x=intra_limit_right, y=intra_open, text=iotext, style=DEFAULT_LABEL_STYLE, textcolor=IntraColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(intra_line, intra_time)
line.set_x2(intra_line, intra_limit_right)
line.set_y1(intra_line, intra_open)
line.set_y2(intra_line, intra_open)
label.set_x(intra_label, intra_limit_right)
label.set_y(intra_label, intra_open)
label.set_text(intra_label, iotext)
if mergebool
f_LevelMerge(pricearray, labelarray, intra_open, intra_label, IntraColor)
//////////////////////////////////////////////////////////////////////////////////
//HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH
if can_draw_intrah
intrah_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
intrah_time := get_limit_right(radistance)
intrah_time
var intrah_line = line.new(x1=intrah_time, x2=intrah_limit_right, y1=intrah_open, y2=intrah_open, color=IntraColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var intrah_label = label.new(x=intrah_limit_right, y=intrah_open, text=pihtext, style=DEFAULT_LABEL_STYLE, textcolor=IntraColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(intrah_line, intrah_time)
line.set_x2(intrah_line, intrah_limit_right)
line.set_y1(intrah_line, intrah_open)
line.set_y2(intrah_line, intrah_open)
label.set_x(intrah_label, intrah_limit_right)
label.set_y(intrah_label, intrah_open)
label.set_text(intrah_label, pihtext)
if mergebool
f_LevelMerge(pricearray, labelarray, intrah_open, intrah_label, IntraColor)
//////////////////////////////////////////////////////////////////////////////////
//LOW LOW LOW LOW LOW LOW LOW LOW LOW LOW LOW LOW LOW LOW LOW LOW
if can_draw_intral
intral_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
intral_time := get_limit_right(radistance)
intral_time
var intral_line = line.new(x1=intral_time, x2=intral_limit_right, y1=intral_open, y2=intral_open, color=IntraColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var intral_label = label.new(x=intral_limit_right, y=intral_open, text=piltext, style=DEFAULT_LABEL_STYLE, textcolor=IntraColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(intral_line, intral_time)
line.set_x2(intral_line, intral_limit_right)
line.set_y1(intral_line, intral_open)
line.set_y2(intral_line, intral_open)
label.set_x(intral_label, intral_limit_right)
label.set_y(intral_label, intral_open)
label.set_text(intral_label, piltext)
if mergebool
f_LevelMerge(pricearray, labelarray, intral_open, intral_label, IntraColor)
///////////////////////////////////////////////////////////////////////////////
if can_draw_intram
intram_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
intram_time = intrah_time
intram_open = (intral_open + intrah_open) / 2
if displayStyle == 'Right Anchored'
intram_time := get_limit_right(radistance)
intram_time
var intram_line = line.new(x1=intram_time, x2=intram_limit_right, y1=intram_open, y2=intram_open, color=IntraColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var intram_label = label.new(x=intram_limit_right, y=intram_open, text=pimtext, style=DEFAULT_LABEL_STYLE, textcolor=IntraColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(intram_line, intram_time)
line.set_x2(intram_line, intram_limit_right)
line.set_y1(intram_line, intram_open)
line.set_y2(intram_line, intram_open)
label.set_x(intram_label, intram_limit_right)
label.set_y(intram_label, intram_open)
label.set_text(intram_label, pimtext)
if mergebool
f_LevelMerge(pricearray, labelarray, intram_open, intram_label, IntraColor)
////////////////////////////////////////// MONDAY
if is_monday_enabled
monday_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
monday_time := get_limit_right(radistance)
monday_time
var monday_line = line.new(x1=monday_time, x2=monday_limit_right, y1=monday_high, y2=monday_high, color=MondayColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var monday_label = label.new(x=monday_limit_right, y=monday_high, text=pmonhtext, style=DEFAULT_LABEL_STYLE, textcolor=MondayColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(monday_line, monday_time)
line.set_x2(monday_line, monday_limit_right)
line.set_y1(monday_line, monday_high)
line.set_y2(monday_line, monday_high)
label.set_x(monday_label, monday_limit_right)
label.set_y(monday_label, monday_high)
label.set_text(monday_label, pmonhtext)
if mergebool
f_LevelMerge(pricearray, labelarray, monday_high, monday_label, MondayColor)
if is_monday_enabled
monday_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
monday_time := get_limit_right(radistance)
monday_time
var monday_low_line = line.new(x1=monday_time, x2=monday_limit_right, y1=monday_low, y2=monday_low, color=MondayColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var monday_low_label = label.new(x=monday_limit_right, y=monday_low, text=pmonltext, style=DEFAULT_LABEL_STYLE, textcolor=MondayColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(monday_low_line, monday_time)
line.set_x2(monday_low_line, monday_limit_right)
line.set_y1(monday_low_line, monday_low)
line.set_y2(monday_low_line, monday_low)
label.set_x(monday_low_label, monday_limit_right)
label.set_y(monday_low_label, monday_low)
label.set_text(monday_low_label, pmonltext)
if mergebool
f_LevelMerge(pricearray, labelarray, monday_low, monday_low_label, MondayColor)
if is_monday_mid
mondaym_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
mondaym_open = (monday_high + monday_low) / 2
if displayStyle == 'Right Anchored'
monday_time := get_limit_right(radistance)
monday_time
var mondaym_line = line.new(x1=monday_time, x2=mondaym_limit_right, y1=mondaym_open, y2=mondaym_open, color=MondayColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var mondaym_label = label.new(x=mondaym_limit_right, y=mondaym_open, text=pmonmtext, style=DEFAULT_LABEL_STYLE, textcolor=MondayColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(mondaym_line, monday_time)
line.set_x2(mondaym_line, mondaym_limit_right)
line.set_y1(mondaym_line, mondaym_open)
line.set_y2(mondaym_line, mondaym_open)
label.set_x(mondaym_label, mondaym_limit_right)
label.set_y(mondaym_label, mondaym_open)
label.set_text(mondaym_label, pmonmtext)
if mergebool
f_LevelMerge(pricearray, labelarray, mondaym_open, mondaym_label, MondayColor)
//////////////////////////////////////////////////////////////////////////////////
////////////////////////DAILY OPEN DAILY OPEN DAILY OPEN DAILY OPEN DAILY OPEN DAILY OPEN DAILY OPEN
if is_daily_enabled
daily_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
daily_time := get_limit_right(radistance)
daily_time
var daily_line = line.new(x1=daily_time, x2=daily_limit_right, y1=daily_open, y2=daily_open, color=DailyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var daily_label = label.new(x=daily_limit_right, y=daily_open, text=dotext, style=DEFAULT_LABEL_STYLE, textcolor=DailyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(daily_line, daily_time)
line.set_x2(daily_line, daily_limit_right)
line.set_y1(daily_line, daily_open)
line.set_y2(daily_line, daily_open)
label.set_x(daily_label, daily_limit_right)
label.set_y(daily_label, daily_open)
label.set_text(daily_label, dotext)
if mergebool
f_LevelMerge(pricearray, labelarray, daily_open, daily_label, DailyColor)
//////////////////////////////////////////////////////////////////////////////////
//////////////////DAILY HIGH DAILY HIGH DAILY HIGH DAILY HIGH DAILY HIGH DAILY HIGH DAILY HIGH
if is_dailyrange_enabled
dailyh_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
dailyh_time := get_limit_right(radistance)
dailyh_time
// draw tails before lines for better visual
var dailyh_line = line.new(x1=dailyh_time, x2=dailyh_limit_right, y1=dailyh_open, y2=dailyh_open, color=DailyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var dailyh_label = label.new(x=dailyh_limit_right, y=dailyh_open, text=pdhtext, style=DEFAULT_LABEL_STYLE, textcolor=DailyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(dailyh_line, dailyh_time)
line.set_x2(dailyh_line, dailyh_limit_right)
line.set_y1(dailyh_line, dailyh_open)
line.set_y2(dailyh_line, dailyh_open)
label.set_x(dailyh_label, dailyh_limit_right)
label.set_y(dailyh_label, dailyh_open)
label.set_text(dailyh_label, pdhtext)
if mergebool
f_LevelMerge(pricearray, labelarray, dailyh_open, dailyh_label, DailyColor)
//////////////////////////////////////////////////////////////////////////////////
//////////////////DAILY LOW DAILY LOW DAILY LOW DAILY LOW DAILY LOW DAILY LOW DAILY LOW DAILY LOW
if is_dailyrange_enabled
dailyl_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
dailyl_time := get_limit_right(radistance)
dailyl_time
var dailyl_line = line.new(x1=dailyl_time, x2=dailyl_limit_right, y1=dailyl_open, y2=dailyl_open, color=DailyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var dailyl_label = label.new(x=dailyl_limit_right, y=dailyl_open, text=pdltext, style=DEFAULT_LABEL_STYLE, textcolor=DailyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(dailyl_line, dailyl_time)
line.set_x2(dailyl_line, dailyl_limit_right)
line.set_y1(dailyl_line, dailyl_open)
line.set_y2(dailyl_line, dailyl_open)
label.set_x(dailyl_label, dailyl_limit_right)
label.set_y(dailyl_label, dailyl_open)
label.set_text(dailyl_label, pdltext)
if mergebool
f_LevelMerge(pricearray, labelarray, dailyl_open, dailyl_label, DailyColor)
//////////////////////////////////////////////////////////////////////////////// Daily MID
if is_dailym_enabled
dailym_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
dailym_time = dailyh_time
dailym_open = (dailyl_open + dailyh_open) / 2
if displayStyle == 'Right Anchored'
dailym_time := get_limit_right(radistance)
dailym_time
var dailym_line = line.new(x1=dailym_time, x2=dailym_limit_right, y1=dailym_open, y2=dailym_open, color=DailyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var dailym_label = label.new(x=dailym_limit_right, y=dailym_open, text=pdmtext, style=DEFAULT_LABEL_STYLE, textcolor=DailyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(dailym_line, dailym_time)
line.set_x2(dailym_line, dailym_limit_right)
line.set_y1(dailym_line, dailym_open)
line.set_y2(dailym_line, dailym_open)
label.set_x(dailym_label, dailym_limit_right)
label.set_y(dailym_label, dailym_open)
label.set_text(dailym_label, pdmtext)
if mergebool
f_LevelMerge(pricearray, labelarray, dailym_open, dailym_label, DailyColor)
//////////////////////////////////////////////////////////////////////////////////
if is_weekly_enabled
weekly_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
cweekly_time = weekly_time
if displayStyle == 'Right Anchored'
cweekly_time := get_limit_right(radistance)
cweekly_time
var weekly_line = line.new(x1=cweekly_time, x2=weekly_limit_right, y1=weekly_open, y2=weekly_open, color=WeeklyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var weekly_label = label.new(x=weekly_limit_right, y=weekly_open, text=wotext, style=DEFAULT_LABEL_STYLE, textcolor=WeeklyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(weekly_line, cweekly_time)
line.set_x2(weekly_line, weekly_limit_right)
line.set_y1(weekly_line, weekly_open)
line.set_y2(weekly_line, weekly_open)
label.set_x(weekly_label, weekly_limit_right)
label.set_y(weekly_label, weekly_open)
label.set_text(weekly_label, wotext)
if mergebool
f_LevelMerge(pricearray, labelarray, weekly_open, weekly_label, WeeklyColor)
// the weekly open can be the daily open too (monday)
// only the weekly will be draw, in these case we update its label
// if is_weekly_open and can_show_daily
// label.set_text(weekly_label, "DO / WO ")
//////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////// WEEKLY HIGH WEEKLY HIGH WEEKLY HIGH
if is_weeklyrange_enabled
weeklyh_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
weeklyh_time := get_limit_right(radistance)
weeklyh_time
var weeklyh_line = line.new(x1=weeklyh_time, x2=weeklyh_limit_right, y1=weeklyh_open, y2=weeklyh_open, color=WeeklyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var weeklyh_label = label.new(x=weeklyh_limit_right, y=weeklyh_open, text=pwhtext, style=DEFAULT_LABEL_STYLE, textcolor=WeeklyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(weeklyh_line, weeklyh_time)
line.set_x2(weeklyh_line, weeklyh_limit_right)
line.set_y1(weeklyh_line, weeklyh_open)
line.set_y2(weeklyh_line, weeklyh_open)
label.set_x(weeklyh_label, weeklyh_limit_right)
label.set_y(weeklyh_label, weeklyh_open)
label.set_text(weeklyh_label, pwhtext)
if mergebool
f_LevelMerge(pricearray, labelarray, weeklyh_open, weeklyh_label, WeeklyColor)
//////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////// WEEKLY LOW WEEKLY LOW WEEKLY LOW
if is_weeklyrange_enabled
weeklyl_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
weeklyl_time := get_limit_right(radistance)
weeklyl_time
var weeklyl_line = line.new(x1=weeklyl_time, x2=weeklyl_limit_right, y1=weekly_open, y2=weekly_open, color=WeeklyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var weeklyl_label = label.new(x=weeklyl_limit_right, y=weeklyl_open, text=pwltext, style=DEFAULT_LABEL_STYLE, textcolor=WeeklyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(weeklyl_line, weeklyl_time)
line.set_x2(weeklyl_line, weeklyl_limit_right)
line.set_y1(weeklyl_line, weeklyl_open)
line.set_y2(weeklyl_line, weeklyl_open)
label.set_x(weeklyl_label, weeklyl_limit_right)
label.set_y(weeklyl_label, weeklyl_open)
label.set_text(weeklyl_label, pwltext)
if mergebool
f_LevelMerge(pricearray, labelarray, weeklyl_open, weeklyl_label, WeeklyColor)
//////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////// Weekly MID
if is_weekly_mid
weeklym_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
weeklym_time = weeklyh_time
weeklym_open = (weeklyl_open + weeklyh_open) / 2
if displayStyle == 'Right Anchored'
weeklym_time := get_limit_right(radistance)
weeklym_time
var weeklym_line = line.new(x1=weeklym_time, x2=weeklym_limit_right, y1=weeklym_open, y2=weeklym_open, color=WeeklyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var weeklym_label = label.new(x=weeklym_limit_right, y=weeklym_open, text=pwmtext, style=DEFAULT_LABEL_STYLE, textcolor=WeeklyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(weeklym_line, weeklym_time)
line.set_x2(weeklym_line, weeklym_limit_right)
line.set_y1(weeklym_line, weeklym_open)
line.set_y2(weeklym_line, weeklym_open)
label.set_x(weeklym_label, weeklym_limit_right)
label.set_y(weeklym_label, weeklym_open)
label.set_text(weeklym_label, pwmtext)
if mergebool
f_LevelMerge(pricearray, labelarray, weeklym_open, weeklym_label, WeeklyColor)
////////////////////////////////////////////////////////////////////////////////// YEEEAARRLLYY LOW LOW LOW
if is_yearlyrange_enabled
yearlyl_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
yearlyl_time := get_limit_right(radistance)
yearlyl_time
var yearlyl_line = line.new(x1=yearlyl_time, x2=yearlyl_limit_right, y1=yearlyl_open, y2=yearlyl_open, color=YearlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var yearlyl_label = label.new(x=yearlyl_limit_right, y=yearlyl_open, text=cyltext, style=DEFAULT_LABEL_STYLE, textcolor=YearlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(yearlyl_line, yearlyl_time)
line.set_x2(yearlyl_line, yearlyl_limit_right)
line.set_y1(yearlyl_line, yearlyl_open)
line.set_y2(yearlyl_line, yearlyl_open)
label.set_x(yearlyl_label, yearlyl_limit_right)
label.set_y(yearlyl_label, yearlyl_open)
label.set_text(yearlyl_label, cyltext)
if mergebool
f_LevelMerge(pricearray, labelarray, yearlyl_open, yearlyl_label, YearlyColor)
//////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////// YEEEAARRLLYY HIGH HIGH HIGH
if is_yearlyrange_enabled
yearlyh_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
yearlyh_time := get_limit_right(radistance)
yearlyh_time
var yearlyh_line = line.new(x1=yearlyh_time, x2=yearlyh_limit_right, y1=yearlyh_open, y2=yearlyh_open, color=YearlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var yearlyh_label = label.new(x=yearlyh_limit_right, y=yearlyh_open, text=cyhtext, style=DEFAULT_LABEL_STYLE, textcolor=YearlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(yearlyh_line, yearlyh_time)
line.set_x2(yearlyh_line, yearlyh_limit_right)
line.set_y1(yearlyh_line, yearlyh_open)
line.set_y2(yearlyh_line, yearlyh_open)
label.set_x(yearlyh_label, yearlyh_limit_right)
label.set_y(yearlyh_label, yearlyh_open)
label.set_text(yearlyh_label, cyhtext)
if mergebool
f_LevelMerge(pricearray, labelarray, yearlyh_open, yearlyh_label, YearlyColor)
//////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////// YEEEAARRLLYY OPEN
if is_yearly_enabled
yearly_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
yearly_time := get_limit_right(radistance)
yearly_time
var yearly_line = line.new(x1=yearly_time, x2=yearly_limit_right, y1=yearly_open, y2=yearly_open, color=YearlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var yearly_label = label.new(x=yearly_limit_right, y=yearly_open, text=yotext, style=DEFAULT_LABEL_STYLE, textcolor=YearlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(yearly_line, yearly_time)
line.set_x2(yearly_line, yearly_limit_right)
line.set_y1(yearly_line, yearly_open)
line.set_y2(yearly_line, yearly_open)
label.set_x(yearly_label, yearly_limit_right)
label.set_y(yearly_label, yearly_open)
label.set_text(yearly_label, yotext)
if mergebool
f_LevelMerge(pricearray, labelarray, yearly_open, yearly_label, YearlyColor)
//////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////// yearly MID
if is_yearly_mid
yearlym_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
yearlym_time = yearlyh_time
yearlym_open = (yearlyl_open + yearlyh_open) / 2
if displayStyle == 'Right Anchored'
yearlym_time := get_limit_right(radistance)
yearlym_time
var yearlym_line = line.new(x1=yearlym_time, x2=yearlym_limit_right, y1=yearlym_open, y2=yearlym_open, color=YearlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var yearlym_label = label.new(x=yearlym_limit_right, y=yearlym_open, text=cymtext, style=DEFAULT_LABEL_STYLE, textcolor=YearlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(yearlym_line, yearlym_time)
line.set_x2(yearlym_line, yearlym_limit_right)
line.set_y1(yearlym_line, yearlym_open)
line.set_y2(yearlym_line, yearlym_open)
label.set_x(yearlym_label, yearlym_limit_right)
label.set_y(yearlym_label, yearlym_open)
label.set_text(yearlym_label, cymtext)
if mergebool
f_LevelMerge(pricearray, labelarray, yearlym_open, yearlym_label, YearlyColor)
////////////////////////////////////////////////////////////////////////////////// QUATERLLYYYYY OPEN
if is_quarterly_enabled
quarterly_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
quarterly_time := get_limit_right(radistance)
quarterly_time
var quarterly_line = line.new(x1=quarterly_time, x2=quarterly_limit_right, y1=quarterly_open, y2=quarterly_open, color=quarterlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var quarterly_label = label.new(x=quarterly_limit_right, y=quarterly_open, text=qotext, style=DEFAULT_LABEL_STYLE, textcolor=quarterlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(quarterly_line, quarterly_time)
line.set_x2(quarterly_line, quarterly_limit_right)
line.set_y1(quarterly_line, quarterly_open)
line.set_y2(quarterly_line, quarterly_open)
label.set_x(quarterly_label, quarterly_limit_right)
label.set_y(quarterly_label, quarterly_open)
label.set_text(quarterly_label, qotext)
if mergebool
f_LevelMerge(pricearray, labelarray, quarterly_open, quarterly_label, quarterlyColor)
//////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////// QUATERLLYYYYY High
if is_quarterlyrange_enabled
quarterlyh_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
quarterlyh_time := get_limit_right(radistance)
quarterlyh_time
var quarterlyh_line = line.new(x1=quarterlyh_time, x2=quarterlyh_limit_right, y1=quarterlyh_open, y2=quarterlyh_open, color=quarterlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var quarterlyh_label = label.new(x=quarterlyh_limit_right, y=quarterlyh_open, text=pqhtext, style=DEFAULT_LABEL_STYLE, textcolor=quarterlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(quarterlyh_line, quarterlyh_time)
line.set_x2(quarterlyh_line, quarterlyh_limit_right)
line.set_y1(quarterlyh_line, quarterlyh_open)
line.set_y2(quarterlyh_line, quarterlyh_open)
label.set_x(quarterlyh_label, quarterlyh_limit_right)
label.set_y(quarterlyh_label, quarterlyh_open)
label.set_text(quarterlyh_label, pqhtext)
if mergebool
f_LevelMerge(pricearray, labelarray, quarterlyh_open, quarterlyh_label, quarterlyColor)
//////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////// QUATERLLYYYYY Low
if is_quarterlyrange_enabled
quarterlyl_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
quarterlyl_time := get_limit_right(radistance)
quarterlyl_time
var quarterlyl_line = line.new(x1=quarterlyl_time, x2=quarterlyl_limit_right, y1=quarterlyl_open, y2=quarterlyl_open, color=quarterlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var quarterlyl_label = label.new(x=quarterlyl_limit_right, y=quarterlyl_open, text=pqltext, style=DEFAULT_LABEL_STYLE, textcolor=quarterlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(quarterlyl_line, quarterlyl_time)
line.set_x2(quarterlyl_line, quarterlyl_limit_right)
line.set_y1(quarterlyl_line, quarterlyl_open)
line.set_y2(quarterlyl_line, quarterlyl_open)
label.set_x(quarterlyl_label, quarterlyl_limit_right)
label.set_y(quarterlyl_label, quarterlyl_open)
label.set_text(quarterlyl_label, pqltext)
if mergebool
f_LevelMerge(pricearray, labelarray, quarterlyl_open, quarterlyl_label, quarterlyColor)
//////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////// QUATERLLYYYYY MID
if is_quarterly_mid
quarterlym_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
quarterlym_time = quarterlyh_time
quarterlym_open = (quarterlyl_open + quarterlyh_open) / 2
if displayStyle == 'Right Anchored'
quarterlym_time := get_limit_right(radistance)
quarterlym_time
var quarterlym_line = line.new(x1=quarterlym_time, x2=quarterlym_limit_right, y1=quarterlym_open, y2=quarterlym_open, color=quarterlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var quarterlym_label = label.new(x=quarterlym_limit_right, y=quarterlym_open, text=pqmtext, style=DEFAULT_LABEL_STYLE, textcolor=quarterlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(quarterlym_line, quarterlym_time)
line.set_x2(quarterlym_line, quarterlym_limit_right)
line.set_y1(quarterlym_line, quarterlym_open)
line.set_y2(quarterlym_line, quarterlym_open)
label.set_x(quarterlym_label, quarterlym_limit_right)
label.set_y(quarterlym_label, quarterlym_open)
label.set_text(quarterlym_label, pqmtext)
if mergebool
f_LevelMerge(pricearray, labelarray, quarterlym_open, quarterlym_label, quarterlyColor)
////////////////////////////////////////////////////////////////////////////////// Monthly LOW LOW LOW
if is_monthlyrange_enabled
monthlyl_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
monthlyl_time := get_limit_right(radistance)
monthlyl_time
var monthlyl_line = line.new(x1=monthlyl_time, x2=monthlyl_limit_right, y1=monthlyl_open, y2=monthlyl_open, color=MonthlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var monthlyl_label = label.new(x=monthlyl_limit_right, y=monthlyl_open, text=pmltext, style=DEFAULT_LABEL_STYLE, textcolor=MonthlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(monthlyl_line, monthlyl_time)
line.set_x2(monthlyl_line, monthlyl_limit_right)
line.set_y1(monthlyl_line, monthlyl_open)
line.set_y2(monthlyl_line, monthlyl_open)
label.set_x(monthlyl_label, monthlyl_limit_right)
label.set_y(monthlyl_label, monthlyl_open)
label.set_text(monthlyl_label, pmltext)
if mergebool
f_LevelMerge(pricearray, labelarray, monthlyl_open, monthlyl_label, MonthlyColor)
// the weekly open can be the daily open too (monday)
// only the weekly will be draw, in these case we update its label
//////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////// MONTHLY HIGH HIGH HIGH
if is_monthlyrange_enabled
monthlyh_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
monthlyh_time := get_limit_right(radistance)
monthlyh_time
var monthlyh_line = line.new(x1=monthlyh_time, x2=monthlyh_limit_right, y1=monthlyh_open, y2=monthlyh_open, color=MonthlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var monthlyh_label = label.new(x=monthlyh_limit_right, y=monthlyh_open, text=pmhtext, style=DEFAULT_LABEL_STYLE, textcolor=MonthlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(monthlyh_line, monthlyl_time)
line.set_x2(monthlyh_line, monthlyh_limit_right)
line.set_y1(monthlyh_line, monthlyh_open)
line.set_y2(monthlyh_line, monthlyh_open)
label.set_x(monthlyh_label, monthlyh_limit_right)
label.set_y(monthlyh_label, monthlyh_open)
label.set_text(monthlyh_label, pmhtext)
if mergebool
f_LevelMerge(pricearray, labelarray, monthlyh_open, monthlyh_label, MonthlyColor)
// the weekly open can be the daily open too (monday)
// only the weekly will be draw, in these case we update its label
//////////////////////////////////////////////////////////////////////////////// MONTHLY MID
if is_monthly_mid
monthlym_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
monthlym_time = monthlyh_time
monthlym_open = (monthlyl_open + monthlyh_open) / 2
if displayStyle == 'Right Anchored'
monthlym_time := get_limit_right(radistance)
monthlym_time
var monthlym_line = line.new(x1=monthlym_time, x2=monthlym_limit_right, y1=monthlym_open, y2=monthlym_open, color=MonthlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var monthlym_label = label.new(x=monthlym_limit_right, y=monthlym_open, text=pmmtext, style=DEFAULT_LABEL_STYLE, textcolor=MonthlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(monthlym_line, monthlym_time)
line.set_x2(monthlym_line, monthlym_limit_right)
line.set_y1(monthlym_line, monthlym_open)
line.set_y2(monthlym_line, monthlym_open)
label.set_x(monthlym_label, monthlym_limit_right)
label.set_y(monthlym_label, monthlym_open)
label.set_text(monthlym_label, pmmtext)
if mergebool
f_LevelMerge(pricearray, labelarray, monthlym_open, monthlym_label, MonthlyColor)
//////////////////////////////////////////////////////////////////////////////////
if is_monthly_enabled
monthly_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
monthly_time := get_limit_right(radistance)
monthly_time
var monthlyLine = line.new(x1=monthly_time, x2=monthly_limit_right, y1=monthly_open, y2=monthly_open, color=MonthlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var monthlyLabel = label.new(x=monthly_limit_right, y=monthly_open, text=motext, style=DEFAULT_LABEL_STYLE, textcolor=MonthlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(monthlyLine, monthly_time)
line.set_x2(monthlyLine, monthly_limit_right)
line.set_y1(monthlyLine, monthly_open)
line.set_y2(monthlyLine, monthly_open)
label.set_x(monthlyLabel, monthly_limit_right)
label.set_y(monthlyLabel, monthly_open)
label.set_text(monthlyLabel, motext)
if mergebool
f_LevelMerge(pricearray, labelarray, monthly_open, monthlyLabel, MonthlyColor)
/////////////////////////////////////////////////////////////////////////////
// the monthly open can be the weekly open (monday 1st) and/or daily open too
// only the monthly will be draw, in these case we update its label
// if is_monthly_open
// if can_show_daily
// label.set_text(monthlyLabel, "DO / MO ")
// if is_weekly_open
// if can_show_weekly
// label.set_text(monthlyLabel, "WO / MO ")
// if can_show_daily and can_show_weekly
// label.set_text(monthlyLabel, "DO / WO / MO ")
// the start of the line is drew from the first week of the month
// if the first day of the weekly candle (monday) is the 2nd of the month
// we fix the start of the line position on the Prev weekly candle
if timeframe.isweekly and dayofweek(monthly_time) != dayofweek.monday
line.set_x1(monthlyLine, monthly_time - (weekly_time - weekly_time ))
Key Levels//@version=5
//@sbtnc thank you for doing the base code
//Added additional levels for convienience sake.
indicator('Key Levels SpacemanBTC IDWM', shorttitle='SpacemanBTC Key Level V13.1', overlay=true, max_lines_count=100)
//35 works
displayStyle = input.string(defval='Standard', title='Display Style', options= , inline='Display')
mergebool = input.bool(defval=true, title='Merge Levels?', inline='Display')
distanceright = input.int(defval=30, title='Distance', minval=5, maxval=500, inline='Dist')
radistance = input.int(defval=250, title='Anchor Distance', minval=5, maxval=500, inline='Dist')
labelsize = input.string(defval='Medium', title='Text Size', options= )
linesize = input.string(defval='Small', title='Line Width', options= , inline='Line')
linestyle = input.string(defval='Solid', title='Line Style', options= , inline='Line')
GlobalTextType = input.bool(defval=false, title='Global Text ShortHand', tooltip='Enable for shorthand text on all text')
var globalcoloring = input.bool(defval=false, title='Global Coloring', tooltip='Enable for all color controls via one color', inline='GC')
GlobalColor = input.color(title='', defval=color.white, inline='GC')
//var show_tails = input(defval = false, title = "Always Show", type = input.bool)
= request.security(syminfo.tickerid, 'D', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'D', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'D', [time , low ], lookahead=barmerge.lookahead_on)
cdailyh_open = request.security(syminfo.tickerid, 'D', high, lookahead=barmerge.lookahead_on)
cdailyl_open = request.security(syminfo.tickerid, 'D', low, lookahead=barmerge.lookahead_on)
var monday_time = time
var monday_high = high
var monday_low = low
= request.security(syminfo.tickerid, 'W', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'W', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'W', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, 'M', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '3M', [time , low ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '12M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '12M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '12M', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', , lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', [time , high ], lookahead=barmerge.lookahead_on)
= request.security(syminfo.tickerid, '240', [time , low ], lookahead=barmerge.lookahead_on)
//------------------------------ Inputs -------------------------------
var is_intra_enabled = input.bool(defval=false, title='Open', group='4H', inline='4H')
var is_intrarange_enabled = input.bool(defval=false, title='Prev H/L', group='4H', inline='4H')
var is_intram_enabled = input.bool(defval=false, title='Prev Mid', group='4H', inline='4H')
IntraTextType = input.bool(defval=false, title='ShortHand', group='4H', inline='4Hsh')
var is_daily_enabled = input.bool(defval=true, title='Open', group='Daily', inline='Daily')
var is_dailyrange_enabled = input.bool(defval=false, title='Prev H/L', group='Daily', inline='Daily')
var is_dailym_enabled = input.bool(defval=false, title='Prev Mid', group='Daily', inline='Daily')
DailyTextType = input.bool(defval=false, title='ShortHand', group='Daily', inline='Dailysh')
var is_monday_enabled = input.bool(defval=true, title='Range', group='Monday Range', inline='Monday')
var is_monday_mid = input.bool(defval=true, title='Mid', group='Monday Range', inline='Monday')
var untested_monday = false
MondayTextType = input.bool(defval=false, title='ShortHand', group='Monday Range', inline='Mondaysh')
var is_weekly_enabled = input.bool(defval=true, title='Open', group='Weekly', inline='Weekly')
var is_weeklyrange_enabled = input.bool(defval=true, title='Prev H/L', group='Weekly', inline='Weekly')
var is_weekly_mid = input.bool(defval=true, title='Prev Mid', group='Weekly', inline='Weekly')
WeeklyTextType = input.bool(defval=false, title='ShortHand', group='Weekly', inline='Weeklysh')
var is_monthly_enabled = input.bool(defval=true, title='Open', group='Monthly', inline='Monthly')
var is_monthlyrange_enabled = input.bool(defval=true, title='Prev H/L', group='Monthly', inline='Monthly')
var is_monthly_mid = input.bool(defval=true, title='Prev Mid', group='Monthly', inline='Monthly')
MonthlyTextType = input.bool(defval=false, title='ShortHand', group='Monthly', inline='Monthlysh')
var is_quarterly_enabled = input.bool(defval=true, title='Open', group='Quarterly', inline='Quarterly')
var is_quarterlyrange_enabled = input.bool(defval=false, title='Prev H/L', group='Quarterly', inline='Quarterly')
var is_quarterly_mid = input.bool(defval=true, title='Prev Mid', group='Quarterly', inline='Quarterly')
QuarterlyTextType = input.bool(defval=false, title='ShortHand', group='Quarterly', inline='Quarterlysh')
var is_yearly_enabled = input.bool(defval=true, title='Open', group='Yearly', inline='Yearly')
var is_yearlyrange_enabled = input.bool(defval=false, title='Current H/L', group='Yearly', inline='Yearly')
var is_yearly_mid = input.bool(defval=true, title='Mid', group='Yearly', inline='Yearly')
YearlyTextType = input.bool(defval=false, title='ShortHand', group='Yearly', inline='Yearlysh')
var is_londonrange_enabled = input.bool(defval=false, title='London Range', group='FX Sessions', inline='FX')
var is_usrange_enabled = input.bool(defval=false, title='New York Range', group='FX Sessions', inline='FX')
var is_asiarange_enabled = input.bool(defval=false, title='Asia Range', group='FX Sessions', inline='FX')
SessionTextType = input.bool(defval=false, title='ShortHand', group='FX Sessions', inline='FXColor')
Londont = input.session("0800-1600", "London Session")
USt = input.session("1400-2100", "New York Session")
Asiat = input.session("0000-0900", "Tokyo Session")
DailyColor = input.color(title='', defval=#08bcd4, group='Daily', inline='Dailysh')
MondayColor = input.color(title='', defval=color.white, group='Monday Range', inline='Mondaysh')
WeeklyColor = input.color(title='', defval=#fffcbc, group='Weekly', inline='Weeklysh')
MonthlyColor = input.color(title='', defval=#08d48c, group='Monthly', inline='Monthlysh')
YearlyColor = input.color(title='', defval=color.red, group='Yearly', inline='Yearlysh')
quarterlyColor = input.color(title='', defval=color.red, group='Quarterly', inline='Quarterlysh')
IntraColor = input.color(title='', defval=color.orange, group='4H', inline='4Hsh')
LondonColor = input.color(title='', defval=color.white, group='FX Sessions', inline='FXColor')
USColor = input.color(title='', defval=color.white, group='FX Sessions', inline='FXColor')
AsiaColor = input.color(title='', defval=color.white, group='FX Sessions', inline='FXColor')
var pdhtext = GlobalTextType or DailyTextType ? 'PDH' : 'Prev Day High'
var pdltext = GlobalTextType or DailyTextType ? 'PDL' : 'Prev Day Low'
var dotext = GlobalTextType or DailyTextType ? 'DO' : 'Daily Open'
var pdmtext = GlobalTextType or DailyTextType ? 'PDM' : 'Prev Day Mid'
var pwhtext = GlobalTextType or WeeklyTextType ? 'PWH' : 'Prev Week High'
var pwltext = GlobalTextType or WeeklyTextType ? 'PWL' : 'Prev Week Low'
var wotext = GlobalTextType or WeeklyTextType ? 'WO' : 'Weekly Open'
var pwmtext = GlobalTextType or WeeklyTextType ? 'PWM' : 'Prev Week Mid'
var pmhtext = GlobalTextType or MonthlyTextType ? 'PMH' : 'Prev Month High'
var pmltext = GlobalTextType or MonthlyTextType ? 'PML' : 'Prev Month Low'
var motext = GlobalTextType or MonthlyTextType ? 'MO' : 'Monthly Open'
var pmmtext = GlobalTextType or MonthlyTextType ? 'PMM' : 'Prev Month Mid'
var pqhtext = GlobalTextType or QuarterlyTextType ? 'PQH' : 'Prev Quarter High'
var pqltext = GlobalTextType or QuarterlyTextType ? 'PQL' : 'Prev Quarter Low'
var qotext = GlobalTextType or QuarterlyTextType ? 'QO' : 'Quarterly Open'
var pqmtext = GlobalTextType or QuarterlyTextType ? 'PQM' : 'Prev Quarter Mid'
var cyhtext = GlobalTextType or YearlyTextType ? 'CYH' : 'Current Year High'
var cyltext = GlobalTextType or YearlyTextType ? 'CYL' : 'Current Year Low'
var yotext = GlobalTextType or YearlyTextType ? 'YO' : 'Yearly Open'
var cymtext = GlobalTextType or YearlyTextType ? 'CYM' : 'Current Year Mid'
var pihtext = GlobalTextType or IntraTextType ? 'P-4H-H' : 'Prev 4H High'
var piltext = GlobalTextType or IntraTextType ? 'P-4H-L' : 'Prev 4H Low'
var iotext = GlobalTextType or IntraTextType ? '4H-O' : '4H Open'
var pimtext = GlobalTextType or IntraTextType ? 'P-4H-M' : 'Prev 4H Mid'
var pmonhtext = GlobalTextType or MondayTextType ? 'MDAY-H' : 'Monday High'
var pmonltext = GlobalTextType or MondayTextType ? 'MDAY-L' : 'Monday Low'
var pmonmtext = GlobalTextType or MondayTextType ? 'MDAY-M' : 'Monday Mid'
var lhtext = GlobalTextType or SessionTextType ? 'Lon-H' : 'London High'
var lltext = GlobalTextType or SessionTextType ? 'Lon-L' : 'London Low'
var lotext = GlobalTextType or SessionTextType ? 'Lon-O' : 'London Open'
var ushtext = GlobalTextType or SessionTextType ? 'NY-H' : 'New York High'
var usltext = GlobalTextType or SessionTextType ? 'NY-L' : 'New York Low'
var usotext = GlobalTextType or SessionTextType ? 'NY-O' : 'New York Open'
var asiahtext = GlobalTextType or SessionTextType ? 'AS-H' : 'Asia High'
var asialtext = GlobalTextType or SessionTextType ? 'AS-L' : 'Asia Low'
var asiaotext = GlobalTextType or SessionTextType ? 'AS-O' : 'Asia Open'
if globalcoloring == true
DailyColor := GlobalColor
MondayColor := GlobalColor
WeeklyColor := GlobalColor
MonthlyColor := GlobalColor
YearlyColor := GlobalColor
quarterlyColor := GlobalColor
IntraColor := GlobalColor
IntraColor
if weekly_time != weekly_time
untested_monday := false
untested_monday
if is_monday_enabled == true and untested_monday == false
untested_monday := true
monday_time := daily_time
monday_high := cdailyh_open
monday_low := cdailyl_open
monday_low
linewidthint = 1
if linesize == 'Small'
linewidthint := 1
linewidthint
if linesize == 'Medium'
linewidthint := 2
linewidthint
if linesize == 'Large'
linewidthint := 3
linewidthint
var DEFAULT_LINE_WIDTH = linewidthint
var DEFAULT_TAIL_WIDTH = linewidthint
fontsize = size.small
if labelsize == 'Small'
fontsize := size.small
fontsize
if labelsize == 'Medium'
fontsize := size.normal
fontsize
if labelsize == 'Large'
fontsize := size.large
fontsize
linestyles = line.style_solid
if linestyle == 'Dashed'
linestyles := line.style_dashed
linestyles
if linestyle == 'Dotted'
linestyles := line.style_dotted
linestyles
var DEFAULT_LABEL_SIZE = fontsize
var DEFAULT_LABEL_STYLE = label.style_none
var DEFAULT_EXTEND_RIGHT = distanceright
London = time(timeframe.period, Londont)
US = time(timeframe.period, USt)
Asia = time(timeframe.period, Asiat)
var clondonhigh = 0.0
var clondonlow = close
var londontime = time
var flondonhigh = 0.0
var flondonlow = 0.0
var flondonopen = 0.0
var onelondonfalse = false
if London
if high > clondonhigh
clondonhigh := high
clondonhigh
if low < clondonlow
clondonlow := low
clondonlow
if onelondonfalse
londontime := time
flondonopen := open
flondonopen
flondonhigh := clondonhigh
flondonlow := clondonlow
onelondonfalse := false
onelondonfalse
else
if onelondonfalse == false
flondonhigh := clondonhigh
flondonlow := clondonlow
flondonlow
onelondonfalse := true
clondonhigh := 0.0
clondonlow := close
clondonlow
//////////////////////////////////
var cushigh = 0.0
var cuslow = close
var ustime = time
var fushigh = 0.0
var fuslow = 0.0
var fusopen = 0.0
var oneusfalse = false
if US
if high > cushigh
cushigh := high
cushigh
if low < cuslow
cuslow := low
cuslow
if oneusfalse
ustime := time
fusopen := open
fusopen
fushigh := cushigh
fuslow := cuslow
oneusfalse := false
oneusfalse
else
if oneusfalse == false
fushigh := cushigh
fuslow := cuslow
fuslow
oneusfalse := true
cushigh := 0.0
cuslow := close
cuslow
//////////////////////////////////
var casiahigh = 0.0
var casialow = close
var asiatime = time
var fasiahigh = 0.0
var fasialow = 0.0
var fasiaopen = 0.0
var oneasiafalse = false
if Asia
if high > casiahigh
casiahigh := high
casiahigh
if low < casialow
casialow := low
casialow
if oneasiafalse
asiatime := time
fasiaopen := open
fasiaopen
fasiahigh := casiahigh
fasialow := casialow
oneasiafalse := false
oneasiafalse
else
if oneasiafalse == false
fasiahigh := casiahigh
fasialow := casialow
fasialow
oneasiafalse := true
casiahigh := 0.0
casialow := close
casialow
//------------------------------ Plotting ------------------------------
var pricearray = array.new_float(0)
var labelarray = array.new_label(0)
f_LevelMerge(pricearray, labelarray, currentprice, currentlabel, currentcolor) =>
if array.includes(pricearray, currentprice)
whichindex = array.indexof(pricearray, currentprice)
labelhold = array.get(labelarray, whichindex)
whichtext = label.get_text(labelhold)
label.set_text(labelhold, label.get_text(currentlabel) + ' / ' + whichtext)
label.set_text(currentlabel, '')
label.set_textcolor(labelhold, currentcolor)
else
array.push(pricearray, currentprice)
array.push(labelarray, currentlabel)
var can_show_daily = is_daily_enabled and timeframe.isintraday
var can_show_weekly = is_weekly_enabled and not timeframe.isweekly and not timeframe.ismonthly
var can_show_monthly = is_monthly_enabled and not timeframe.ismonthly
get_limit_right(bars) =>
timenow + (time - time ) * bars
// the following code doesn't need to be processed on every candle
if barstate.islast
is_weekly_open = dayofweek == dayofweek.monday
is_monthly_open = dayofmonth == 1
can_draw_daily = (is_weekly_enabled ? not is_weekly_open : true) and (is_monthly_enabled ? not is_monthly_open : true)
can_draw_weekly = is_monthly_enabled ? not(is_monthly_open and is_weekly_open) : true
can_draw_intra = is_intra_enabled
can_draw_intrah = is_intrarange_enabled
can_draw_intral = is_intrarange_enabled
can_draw_intram = is_intram_enabled
pricearray := array.new_float(0)
labelarray := array.new_label(0)
/////////////////////////////////
if is_londonrange_enabled
//label.new(bar_index,high)
london_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
londontime := get_limit_right(radistance)
londontime
var londonh_line = line.new(x1=londontime, x2=london_limit_right, y1=flondonhigh, y2=flondonhigh, color=LondonColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var londonl_line = line.new(x1=londontime, x2=london_limit_right, y1=flondonlow, y2=flondonlow, color=LondonColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var londono_line = line.new(x1=londontime, x2=london_limit_right, y1=flondonopen, y2=flondonopen, color=LondonColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var londonh_label = label.new(x=london_limit_right, y=flondonhigh, text=lhtext, style=DEFAULT_LABEL_STYLE, textcolor=LondonColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
var londonl_label = label.new(x=london_limit_right, y=flondonlow, text=lltext, style=DEFAULT_LABEL_STYLE, textcolor=LondonColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
var londono_label = label.new(x=london_limit_right, y=flondonopen, text=lotext, style=DEFAULT_LABEL_STYLE, textcolor=LondonColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(londonh_line, londontime)
line.set_x2(londonh_line, london_limit_right)
line.set_y1(londonh_line, flondonhigh)
line.set_y2(londonh_line, flondonhigh)
line.set_x1(londonl_line, londontime)
line.set_x2(londonl_line, london_limit_right)
line.set_y1(londonl_line, flondonlow)
line.set_y2(londonl_line, flondonlow)
line.set_x1(londono_line, londontime)
line.set_x2(londono_line, london_limit_right)
line.set_y1(londono_line, flondonopen)
line.set_y2(londono_line, flondonopen)
label.set_x(londonh_label, london_limit_right)
label.set_y(londonh_label, flondonhigh)
label.set_text(londonh_label, lhtext)
label.set_x(londonl_label, london_limit_right)
label.set_y(londonl_label, flondonlow)
label.set_text(londonl_label, lltext)
label.set_x(londono_label, london_limit_right)
label.set_y(londono_label, flondonopen)
label.set_text(londono_label, lotext)
if mergebool
f_LevelMerge(pricearray, labelarray, flondonhigh, londonh_label, LondonColor)
f_LevelMerge(pricearray, labelarray, flondonlow, londonl_label, LondonColor)
f_LevelMerge(pricearray, labelarray, flondonopen, londono_label, LondonColor)
//////////////////////////////////////////////////////////////////////////////////
/////////////////////////////////
if is_usrange_enabled
//label.new(bar_index,high)
us_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
ustime := get_limit_right(radistance)
ustime
var ush_line = line.new(x1=ustime, x2=us_limit_right, y1=fushigh, y2=fushigh, color=USColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var usl_line = line.new(x1=ustime, x2=us_limit_right, y1=fuslow, y2=fuslow, color=USColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var uso_line = line.new(x1=ustime, x2=us_limit_right, y1=fusopen, y2=fusopen, color=USColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var ush_label = label.new(x=us_limit_right, y=fushigh, text=lhtext, style=DEFAULT_LABEL_STYLE, textcolor=USColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
var usl_label = label.new(x=us_limit_right, y=fuslow, text=lltext, style=DEFAULT_LABEL_STYLE, textcolor=USColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
var uso_label = label.new(x=us_limit_right, y=fusopen, text=lotext, style=DEFAULT_LABEL_STYLE, textcolor=USColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(ush_line, ustime)
line.set_x2(ush_line, us_limit_right)
line.set_y1(ush_line, fushigh)
line.set_y2(ush_line, fushigh)
line.set_x1(usl_line, ustime)
line.set_x2(usl_line, us_limit_right)
line.set_y1(usl_line, fuslow)
line.set_y2(usl_line, fuslow)
line.set_x1(uso_line, ustime)
line.set_x2(uso_line, us_limit_right)
line.set_y1(uso_line, fusopen)
line.set_y2(uso_line, fusopen)
label.set_x(ush_label, us_limit_right)
label.set_y(ush_label, fushigh)
label.set_text(ush_label, ushtext)
label.set_x(usl_label, us_limit_right)
label.set_y(usl_label, fuslow)
label.set_text(usl_label, usltext)
label.set_x(uso_label, us_limit_right)
label.set_y(uso_label, fusopen)
label.set_text(uso_label, usotext)
if mergebool
f_LevelMerge(pricearray, labelarray, fushigh, ush_label, USColor)
f_LevelMerge(pricearray, labelarray, fuslow, usl_label, USColor)
f_LevelMerge(pricearray, labelarray, fusopen, uso_label, USColor)
/////////////////////////////////
if is_asiarange_enabled
//label.new(bar_index,high)
asia_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
asiatime := get_limit_right(radistance)
asiatime
var asiah_line = line.new(x1=asiatime, x2=asia_limit_right, y1=fasiahigh, y2=fasiahigh, color=AsiaColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var asial_line = line.new(x1=asiatime, x2=asia_limit_right, y1=fasialow, y2=fasialow, color=AsiaColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var asiao_line = line.new(x1=asiatime, x2=asia_limit_right, y1=fasiaopen, y2=fasiaopen, color=AsiaColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var asiah_label = label.new(x=asia_limit_right, y=fasiahigh, text=asiahtext, style=DEFAULT_LABEL_STYLE, textcolor=AsiaColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
var asial_label = label.new(x=asia_limit_right, y=fasialow, text=asialtext, style=DEFAULT_LABEL_STYLE, textcolor=AsiaColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
var asiao_label = label.new(x=asia_limit_right, y=fasiaopen, text=asiaotext, style=DEFAULT_LABEL_STYLE, textcolor=AsiaColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(asiah_line, asiatime)
line.set_x2(asiah_line, asia_limit_right)
line.set_y1(asiah_line, fasiahigh)
line.set_y2(asiah_line, fasiahigh)
line.set_x1(asial_line, asiatime)
line.set_x2(asial_line, asia_limit_right)
line.set_y1(asial_line, fasialow)
line.set_y2(asial_line, fasialow)
line.set_x1(asiao_line, asiatime)
line.set_x2(asiao_line, asia_limit_right)
line.set_y1(asiao_line, fasiaopen)
line.set_y2(asiao_line, fasiaopen)
label.set_x(asiah_label, asia_limit_right)
label.set_y(asiah_label, fasiahigh)
label.set_text(asiah_label, asiahtext)
label.set_x(asial_label, asia_limit_right)
label.set_y(asial_label, fasialow)
label.set_text(asial_label, asialtext)
label.set_x(asiao_label, asia_limit_right)
label.set_y(asiao_label, fasiaopen)
label.set_text(asiao_label, asiaotext)
if mergebool
f_LevelMerge(pricearray, labelarray, fasiahigh, asiah_label, AsiaColor)
f_LevelMerge(pricearray, labelarray, fasialow, asial_label, AsiaColor)
f_LevelMerge(pricearray, labelarray, fasiaopen, asiao_label, AsiaColor)
//////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////////
if can_draw_intra
intra_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
intra_time := get_limit_right(radistance)
intra_time
var intra_line = line.new(x1=intra_time, x2=intra_limit_right, y1=intra_open, y2=intra_open, color=IntraColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var intra_label = label.new(x=intra_limit_right, y=intra_open, text=iotext, style=DEFAULT_LABEL_STYLE, textcolor=IntraColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(intra_line, intra_time)
line.set_x2(intra_line, intra_limit_right)
line.set_y1(intra_line, intra_open)
line.set_y2(intra_line, intra_open)
label.set_x(intra_label, intra_limit_right)
label.set_y(intra_label, intra_open)
label.set_text(intra_label, iotext)
if mergebool
f_LevelMerge(pricearray, labelarray, intra_open, intra_label, IntraColor)
//////////////////////////////////////////////////////////////////////////////////
//HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH HIGH
if can_draw_intrah
intrah_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
intrah_time := get_limit_right(radistance)
intrah_time
var intrah_line = line.new(x1=intrah_time, x2=intrah_limit_right, y1=intrah_open, y2=intrah_open, color=IntraColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var intrah_label = label.new(x=intrah_limit_right, y=intrah_open, text=pihtext, style=DEFAULT_LABEL_STYLE, textcolor=IntraColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(intrah_line, intrah_time)
line.set_x2(intrah_line, intrah_limit_right)
line.set_y1(intrah_line, intrah_open)
line.set_y2(intrah_line, intrah_open)
label.set_x(intrah_label, intrah_limit_right)
label.set_y(intrah_label, intrah_open)
label.set_text(intrah_label, pihtext)
if mergebool
f_LevelMerge(pricearray, labelarray, intrah_open, intrah_label, IntraColor)
//////////////////////////////////////////////////////////////////////////////////
//LOW LOW LOW LOW LOW LOW LOW LOW LOW LOW LOW LOW LOW LOW LOW LOW
if can_draw_intral
intral_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
intral_time := get_limit_right(radistance)
intral_time
var intral_line = line.new(x1=intral_time, x2=intral_limit_right, y1=intral_open, y2=intral_open, color=IntraColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var intral_label = label.new(x=intral_limit_right, y=intral_open, text=piltext, style=DEFAULT_LABEL_STYLE, textcolor=IntraColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(intral_line, intral_time)
line.set_x2(intral_line, intral_limit_right)
line.set_y1(intral_line, intral_open)
line.set_y2(intral_line, intral_open)
label.set_x(intral_label, intral_limit_right)
label.set_y(intral_label, intral_open)
label.set_text(intral_label, piltext)
if mergebool
f_LevelMerge(pricearray, labelarray, intral_open, intral_label, IntraColor)
///////////////////////////////////////////////////////////////////////////////
if can_draw_intram
intram_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
intram_time = intrah_time
intram_open = (intral_open + intrah_open) / 2
if displayStyle == 'Right Anchored'
intram_time := get_limit_right(radistance)
intram_time
var intram_line = line.new(x1=intram_time, x2=intram_limit_right, y1=intram_open, y2=intram_open, color=IntraColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var intram_label = label.new(x=intram_limit_right, y=intram_open, text=pimtext, style=DEFAULT_LABEL_STYLE, textcolor=IntraColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(intram_line, intram_time)
line.set_x2(intram_line, intram_limit_right)
line.set_y1(intram_line, intram_open)
line.set_y2(intram_line, intram_open)
label.set_x(intram_label, intram_limit_right)
label.set_y(intram_label, intram_open)
label.set_text(intram_label, pimtext)
if mergebool
f_LevelMerge(pricearray, labelarray, intram_open, intram_label, IntraColor)
////////////////////////////////////////// MONDAY
if is_monday_enabled
monday_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
monday_time := get_limit_right(radistance)
monday_time
var monday_line = line.new(x1=monday_time, x2=monday_limit_right, y1=monday_high, y2=monday_high, color=MondayColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var monday_label = label.new(x=monday_limit_right, y=monday_high, text=pmonhtext, style=DEFAULT_LABEL_STYLE, textcolor=MondayColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(monday_line, monday_time)
line.set_x2(monday_line, monday_limit_right)
line.set_y1(monday_line, monday_high)
line.set_y2(monday_line, monday_high)
label.set_x(monday_label, monday_limit_right)
label.set_y(monday_label, monday_high)
label.set_text(monday_label, pmonhtext)
if mergebool
f_LevelMerge(pricearray, labelarray, monday_high, monday_label, MondayColor)
if is_monday_enabled
monday_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
monday_time := get_limit_right(radistance)
monday_time
var monday_low_line = line.new(x1=monday_time, x2=monday_limit_right, y1=monday_low, y2=monday_low, color=MondayColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var monday_low_label = label.new(x=monday_limit_right, y=monday_low, text=pmonltext, style=DEFAULT_LABEL_STYLE, textcolor=MondayColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(monday_low_line, monday_time)
line.set_x2(monday_low_line, monday_limit_right)
line.set_y1(monday_low_line, monday_low)
line.set_y2(monday_low_line, monday_low)
label.set_x(monday_low_label, monday_limit_right)
label.set_y(monday_low_label, monday_low)
label.set_text(monday_low_label, pmonltext)
if mergebool
f_LevelMerge(pricearray, labelarray, monday_low, monday_low_label, MondayColor)
if is_monday_mid
mondaym_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
mondaym_open = (monday_high + monday_low) / 2
if displayStyle == 'Right Anchored'
monday_time := get_limit_right(radistance)
monday_time
var mondaym_line = line.new(x1=monday_time, x2=mondaym_limit_right, y1=mondaym_open, y2=mondaym_open, color=MondayColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var mondaym_label = label.new(x=mondaym_limit_right, y=mondaym_open, text=pmonmtext, style=DEFAULT_LABEL_STYLE, textcolor=MondayColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(mondaym_line, monday_time)
line.set_x2(mondaym_line, mondaym_limit_right)
line.set_y1(mondaym_line, mondaym_open)
line.set_y2(mondaym_line, mondaym_open)
label.set_x(mondaym_label, mondaym_limit_right)
label.set_y(mondaym_label, mondaym_open)
label.set_text(mondaym_label, pmonmtext)
if mergebool
f_LevelMerge(pricearray, labelarray, mondaym_open, mondaym_label, MondayColor)
//////////////////////////////////////////////////////////////////////////////////
////////////////////////DAILY OPEN DAILY OPEN DAILY OPEN DAILY OPEN DAILY OPEN DAILY OPEN DAILY OPEN
if is_daily_enabled
daily_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
daily_time := get_limit_right(radistance)
daily_time
var daily_line = line.new(x1=daily_time, x2=daily_limit_right, y1=daily_open, y2=daily_open, color=DailyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var daily_label = label.new(x=daily_limit_right, y=daily_open, text=dotext, style=DEFAULT_LABEL_STYLE, textcolor=DailyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(daily_line, daily_time)
line.set_x2(daily_line, daily_limit_right)
line.set_y1(daily_line, daily_open)
line.set_y2(daily_line, daily_open)
label.set_x(daily_label, daily_limit_right)
label.set_y(daily_label, daily_open)
label.set_text(daily_label, dotext)
if mergebool
f_LevelMerge(pricearray, labelarray, daily_open, daily_label, DailyColor)
//////////////////////////////////////////////////////////////////////////////////
//////////////////DAILY HIGH DAILY HIGH DAILY HIGH DAILY HIGH DAILY HIGH DAILY HIGH DAILY HIGH
if is_dailyrange_enabled
dailyh_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
dailyh_time := get_limit_right(radistance)
dailyh_time
// draw tails before lines for better visual
var dailyh_line = line.new(x1=dailyh_time, x2=dailyh_limit_right, y1=dailyh_open, y2=dailyh_open, color=DailyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var dailyh_label = label.new(x=dailyh_limit_right, y=dailyh_open, text=pdhtext, style=DEFAULT_LABEL_STYLE, textcolor=DailyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(dailyh_line, dailyh_time)
line.set_x2(dailyh_line, dailyh_limit_right)
line.set_y1(dailyh_line, dailyh_open)
line.set_y2(dailyh_line, dailyh_open)
label.set_x(dailyh_label, dailyh_limit_right)
label.set_y(dailyh_label, dailyh_open)
label.set_text(dailyh_label, pdhtext)
if mergebool
f_LevelMerge(pricearray, labelarray, dailyh_open, dailyh_label, DailyColor)
//////////////////////////////////////////////////////////////////////////////////
//////////////////DAILY LOW DAILY LOW DAILY LOW DAILY LOW DAILY LOW DAILY LOW DAILY LOW DAILY LOW
if is_dailyrange_enabled
dailyl_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
dailyl_time := get_limit_right(radistance)
dailyl_time
var dailyl_line = line.new(x1=dailyl_time, x2=dailyl_limit_right, y1=dailyl_open, y2=dailyl_open, color=DailyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var dailyl_label = label.new(x=dailyl_limit_right, y=dailyl_open, text=pdltext, style=DEFAULT_LABEL_STYLE, textcolor=DailyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(dailyl_line, dailyl_time)
line.set_x2(dailyl_line, dailyl_limit_right)
line.set_y1(dailyl_line, dailyl_open)
line.set_y2(dailyl_line, dailyl_open)
label.set_x(dailyl_label, dailyl_limit_right)
label.set_y(dailyl_label, dailyl_open)
label.set_text(dailyl_label, pdltext)
if mergebool
f_LevelMerge(pricearray, labelarray, dailyl_open, dailyl_label, DailyColor)
//////////////////////////////////////////////////////////////////////////////// Daily MID
if is_dailym_enabled
dailym_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
dailym_time = dailyh_time
dailym_open = (dailyl_open + dailyh_open) / 2
if displayStyle == 'Right Anchored'
dailym_time := get_limit_right(radistance)
dailym_time
var dailym_line = line.new(x1=dailym_time, x2=dailym_limit_right, y1=dailym_open, y2=dailym_open, color=DailyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var dailym_label = label.new(x=dailym_limit_right, y=dailym_open, text=pdmtext, style=DEFAULT_LABEL_STYLE, textcolor=DailyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(dailym_line, dailym_time)
line.set_x2(dailym_line, dailym_limit_right)
line.set_y1(dailym_line, dailym_open)
line.set_y2(dailym_line, dailym_open)
label.set_x(dailym_label, dailym_limit_right)
label.set_y(dailym_label, dailym_open)
label.set_text(dailym_label, pdmtext)
if mergebool
f_LevelMerge(pricearray, labelarray, dailym_open, dailym_label, DailyColor)
//////////////////////////////////////////////////////////////////////////////////
if is_weekly_enabled
weekly_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
cweekly_time = weekly_time
if displayStyle == 'Right Anchored'
cweekly_time := get_limit_right(radistance)
cweekly_time
var weekly_line = line.new(x1=cweekly_time, x2=weekly_limit_right, y1=weekly_open, y2=weekly_open, color=WeeklyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var weekly_label = label.new(x=weekly_limit_right, y=weekly_open, text=wotext, style=DEFAULT_LABEL_STYLE, textcolor=WeeklyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(weekly_line, cweekly_time)
line.set_x2(weekly_line, weekly_limit_right)
line.set_y1(weekly_line, weekly_open)
line.set_y2(weekly_line, weekly_open)
label.set_x(weekly_label, weekly_limit_right)
label.set_y(weekly_label, weekly_open)
label.set_text(weekly_label, wotext)
if mergebool
f_LevelMerge(pricearray, labelarray, weekly_open, weekly_label, WeeklyColor)
// the weekly open can be the daily open too (monday)
// only the weekly will be draw, in these case we update its label
// if is_weekly_open and can_show_daily
// label.set_text(weekly_label, "DO / WO ")
//////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////// WEEKLY HIGH WEEKLY HIGH WEEKLY HIGH
if is_weeklyrange_enabled
weeklyh_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
weeklyh_time := get_limit_right(radistance)
weeklyh_time
var weeklyh_line = line.new(x1=weeklyh_time, x2=weeklyh_limit_right, y1=weeklyh_open, y2=weeklyh_open, color=WeeklyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var weeklyh_label = label.new(x=weeklyh_limit_right, y=weeklyh_open, text=pwhtext, style=DEFAULT_LABEL_STYLE, textcolor=WeeklyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(weeklyh_line, weeklyh_time)
line.set_x2(weeklyh_line, weeklyh_limit_right)
line.set_y1(weeklyh_line, weeklyh_open)
line.set_y2(weeklyh_line, weeklyh_open)
label.set_x(weeklyh_label, weeklyh_limit_right)
label.set_y(weeklyh_label, weeklyh_open)
label.set_text(weeklyh_label, pwhtext)
if mergebool
f_LevelMerge(pricearray, labelarray, weeklyh_open, weeklyh_label, WeeklyColor)
//////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////// WEEKLY LOW WEEKLY LOW WEEKLY LOW
if is_weeklyrange_enabled
weeklyl_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
weeklyl_time := get_limit_right(radistance)
weeklyl_time
var weeklyl_line = line.new(x1=weeklyl_time, x2=weeklyl_limit_right, y1=weekly_open, y2=weekly_open, color=WeeklyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var weeklyl_label = label.new(x=weeklyl_limit_right, y=weeklyl_open, text=pwltext, style=DEFAULT_LABEL_STYLE, textcolor=WeeklyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(weeklyl_line, weeklyl_time)
line.set_x2(weeklyl_line, weeklyl_limit_right)
line.set_y1(weeklyl_line, weeklyl_open)
line.set_y2(weeklyl_line, weeklyl_open)
label.set_x(weeklyl_label, weeklyl_limit_right)
label.set_y(weeklyl_label, weeklyl_open)
label.set_text(weeklyl_label, pwltext)
if mergebool
f_LevelMerge(pricearray, labelarray, weeklyl_open, weeklyl_label, WeeklyColor)
//////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////// Weekly MID
if is_weekly_mid
weeklym_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
weeklym_time = weeklyh_time
weeklym_open = (weeklyl_open + weeklyh_open) / 2
if displayStyle == 'Right Anchored'
weeklym_time := get_limit_right(radistance)
weeklym_time
var weeklym_line = line.new(x1=weeklym_time, x2=weeklym_limit_right, y1=weeklym_open, y2=weeklym_open, color=WeeklyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var weeklym_label = label.new(x=weeklym_limit_right, y=weeklym_open, text=pwmtext, style=DEFAULT_LABEL_STYLE, textcolor=WeeklyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(weeklym_line, weeklym_time)
line.set_x2(weeklym_line, weeklym_limit_right)
line.set_y1(weeklym_line, weeklym_open)
line.set_y2(weeklym_line, weeklym_open)
label.set_x(weeklym_label, weeklym_limit_right)
label.set_y(weeklym_label, weeklym_open)
label.set_text(weeklym_label, pwmtext)
if mergebool
f_LevelMerge(pricearray, labelarray, weeklym_open, weeklym_label, WeeklyColor)
////////////////////////////////////////////////////////////////////////////////// YEEEAARRLLYY LOW LOW LOW
if is_yearlyrange_enabled
yearlyl_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
yearlyl_time := get_limit_right(radistance)
yearlyl_time
var yearlyl_line = line.new(x1=yearlyl_time, x2=yearlyl_limit_right, y1=yearlyl_open, y2=yearlyl_open, color=YearlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var yearlyl_label = label.new(x=yearlyl_limit_right, y=yearlyl_open, text=cyltext, style=DEFAULT_LABEL_STYLE, textcolor=YearlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(yearlyl_line, yearlyl_time)
line.set_x2(yearlyl_line, yearlyl_limit_right)
line.set_y1(yearlyl_line, yearlyl_open)
line.set_y2(yearlyl_line, yearlyl_open)
label.set_x(yearlyl_label, yearlyl_limit_right)
label.set_y(yearlyl_label, yearlyl_open)
label.set_text(yearlyl_label, cyltext)
if mergebool
f_LevelMerge(pricearray, labelarray, yearlyl_open, yearlyl_label, YearlyColor)
//////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////// YEEEAARRLLYY HIGH HIGH HIGH
if is_yearlyrange_enabled
yearlyh_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
yearlyh_time := get_limit_right(radistance)
yearlyh_time
var yearlyh_line = line.new(x1=yearlyh_time, x2=yearlyh_limit_right, y1=yearlyh_open, y2=yearlyh_open, color=YearlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var yearlyh_label = label.new(x=yearlyh_limit_right, y=yearlyh_open, text=cyhtext, style=DEFAULT_LABEL_STYLE, textcolor=YearlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(yearlyh_line, yearlyh_time)
line.set_x2(yearlyh_line, yearlyh_limit_right)
line.set_y1(yearlyh_line, yearlyh_open)
line.set_y2(yearlyh_line, yearlyh_open)
label.set_x(yearlyh_label, yearlyh_limit_right)
label.set_y(yearlyh_label, yearlyh_open)
label.set_text(yearlyh_label, cyhtext)
if mergebool
f_LevelMerge(pricearray, labelarray, yearlyh_open, yearlyh_label, YearlyColor)
//////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////// YEEEAARRLLYY OPEN
if is_yearly_enabled
yearly_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
yearly_time := get_limit_right(radistance)
yearly_time
var yearly_line = line.new(x1=yearly_time, x2=yearly_limit_right, y1=yearly_open, y2=yearly_open, color=YearlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var yearly_label = label.new(x=yearly_limit_right, y=yearly_open, text=yotext, style=DEFAULT_LABEL_STYLE, textcolor=YearlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(yearly_line, yearly_time)
line.set_x2(yearly_line, yearly_limit_right)
line.set_y1(yearly_line, yearly_open)
line.set_y2(yearly_line, yearly_open)
label.set_x(yearly_label, yearly_limit_right)
label.set_y(yearly_label, yearly_open)
label.set_text(yearly_label, yotext)
if mergebool
f_LevelMerge(pricearray, labelarray, yearly_open, yearly_label, YearlyColor)
//////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////// yearly MID
if is_yearly_mid
yearlym_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
yearlym_time = yearlyh_time
yearlym_open = (yearlyl_open + yearlyh_open) / 2
if displayStyle == 'Right Anchored'
yearlym_time := get_limit_right(radistance)
yearlym_time
var yearlym_line = line.new(x1=yearlym_time, x2=yearlym_limit_right, y1=yearlym_open, y2=yearlym_open, color=YearlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var yearlym_label = label.new(x=yearlym_limit_right, y=yearlym_open, text=cymtext, style=DEFAULT_LABEL_STYLE, textcolor=YearlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(yearlym_line, yearlym_time)
line.set_x2(yearlym_line, yearlym_limit_right)
line.set_y1(yearlym_line, yearlym_open)
line.set_y2(yearlym_line, yearlym_open)
label.set_x(yearlym_label, yearlym_limit_right)
label.set_y(yearlym_label, yearlym_open)
label.set_text(yearlym_label, cymtext)
if mergebool
f_LevelMerge(pricearray, labelarray, yearlym_open, yearlym_label, YearlyColor)
////////////////////////////////////////////////////////////////////////////////// QUATERLLYYYYY OPEN
if is_quarterly_enabled
quarterly_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
quarterly_time := get_limit_right(radistance)
quarterly_time
var quarterly_line = line.new(x1=quarterly_time, x2=quarterly_limit_right, y1=quarterly_open, y2=quarterly_open, color=quarterlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var quarterly_label = label.new(x=quarterly_limit_right, y=quarterly_open, text=qotext, style=DEFAULT_LABEL_STYLE, textcolor=quarterlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(quarterly_line, quarterly_time)
line.set_x2(quarterly_line, quarterly_limit_right)
line.set_y1(quarterly_line, quarterly_open)
line.set_y2(quarterly_line, quarterly_open)
label.set_x(quarterly_label, quarterly_limit_right)
label.set_y(quarterly_label, quarterly_open)
label.set_text(quarterly_label, qotext)
if mergebool
f_LevelMerge(pricearray, labelarray, quarterly_open, quarterly_label, quarterlyColor)
//////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////// QUATERLLYYYYY High
if is_quarterlyrange_enabled
quarterlyh_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
quarterlyh_time := get_limit_right(radistance)
quarterlyh_time
var quarterlyh_line = line.new(x1=quarterlyh_time, x2=quarterlyh_limit_right, y1=quarterlyh_open, y2=quarterlyh_open, color=quarterlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var quarterlyh_label = label.new(x=quarterlyh_limit_right, y=quarterlyh_open, text=pqhtext, style=DEFAULT_LABEL_STYLE, textcolor=quarterlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(quarterlyh_line, quarterlyh_time)
line.set_x2(quarterlyh_line, quarterlyh_limit_right)
line.set_y1(quarterlyh_line, quarterlyh_open)
line.set_y2(quarterlyh_line, quarterlyh_open)
label.set_x(quarterlyh_label, quarterlyh_limit_right)
label.set_y(quarterlyh_label, quarterlyh_open)
label.set_text(quarterlyh_label, pqhtext)
if mergebool
f_LevelMerge(pricearray, labelarray, quarterlyh_open, quarterlyh_label, quarterlyColor)
//////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////// QUATERLLYYYYY Low
if is_quarterlyrange_enabled
quarterlyl_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
quarterlyl_time := get_limit_right(radistance)
quarterlyl_time
var quarterlyl_line = line.new(x1=quarterlyl_time, x2=quarterlyl_limit_right, y1=quarterlyl_open, y2=quarterlyl_open, color=quarterlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var quarterlyl_label = label.new(x=quarterlyl_limit_right, y=quarterlyl_open, text=pqltext, style=DEFAULT_LABEL_STYLE, textcolor=quarterlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(quarterlyl_line, quarterlyl_time)
line.set_x2(quarterlyl_line, quarterlyl_limit_right)
line.set_y1(quarterlyl_line, quarterlyl_open)
line.set_y2(quarterlyl_line, quarterlyl_open)
label.set_x(quarterlyl_label, quarterlyl_limit_right)
label.set_y(quarterlyl_label, quarterlyl_open)
label.set_text(quarterlyl_label, pqltext)
if mergebool
f_LevelMerge(pricearray, labelarray, quarterlyl_open, quarterlyl_label, quarterlyColor)
//////////////////////////////////////////////////////////////////////////////////
//////////////////////////////////////////////////////////////////////////////// QUATERLLYYYYY MID
if is_quarterly_mid
quarterlym_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
quarterlym_time = quarterlyh_time
quarterlym_open = (quarterlyl_open + quarterlyh_open) / 2
if displayStyle == 'Right Anchored'
quarterlym_time := get_limit_right(radistance)
quarterlym_time
var quarterlym_line = line.new(x1=quarterlym_time, x2=quarterlym_limit_right, y1=quarterlym_open, y2=quarterlym_open, color=quarterlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var quarterlym_label = label.new(x=quarterlym_limit_right, y=quarterlym_open, text=pqmtext, style=DEFAULT_LABEL_STYLE, textcolor=quarterlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(quarterlym_line, quarterlym_time)
line.set_x2(quarterlym_line, quarterlym_limit_right)
line.set_y1(quarterlym_line, quarterlym_open)
line.set_y2(quarterlym_line, quarterlym_open)
label.set_x(quarterlym_label, quarterlym_limit_right)
label.set_y(quarterlym_label, quarterlym_open)
label.set_text(quarterlym_label, pqmtext)
if mergebool
f_LevelMerge(pricearray, labelarray, quarterlym_open, quarterlym_label, quarterlyColor)
////////////////////////////////////////////////////////////////////////////////// Monthly LOW LOW LOW
if is_monthlyrange_enabled
monthlyl_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
monthlyl_time := get_limit_right(radistance)
monthlyl_time
var monthlyl_line = line.new(x1=monthlyl_time, x2=monthlyl_limit_right, y1=monthlyl_open, y2=monthlyl_open, color=MonthlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var monthlyl_label = label.new(x=monthlyl_limit_right, y=monthlyl_open, text=pmltext, style=DEFAULT_LABEL_STYLE, textcolor=MonthlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(monthlyl_line, monthlyl_time)
line.set_x2(monthlyl_line, monthlyl_limit_right)
line.set_y1(monthlyl_line, monthlyl_open)
line.set_y2(monthlyl_line, monthlyl_open)
label.set_x(monthlyl_label, monthlyl_limit_right)
label.set_y(monthlyl_label, monthlyl_open)
label.set_text(monthlyl_label, pmltext)
if mergebool
f_LevelMerge(pricearray, labelarray, monthlyl_open, monthlyl_label, MonthlyColor)
// the weekly open can be the daily open too (monday)
// only the weekly will be draw, in these case we update its label
//////////////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////// MONTHLY HIGH HIGH HIGH
if is_monthlyrange_enabled
monthlyh_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
monthlyh_time := get_limit_right(radistance)
monthlyh_time
var monthlyh_line = line.new(x1=monthlyh_time, x2=monthlyh_limit_right, y1=monthlyh_open, y2=monthlyh_open, color=MonthlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var monthlyh_label = label.new(x=monthlyh_limit_right, y=monthlyh_open, text=pmhtext, style=DEFAULT_LABEL_STYLE, textcolor=MonthlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(monthlyh_line, monthlyl_time)
line.set_x2(monthlyh_line, monthlyh_limit_right)
line.set_y1(monthlyh_line, monthlyh_open)
line.set_y2(monthlyh_line, monthlyh_open)
label.set_x(monthlyh_label, monthlyh_limit_right)
label.set_y(monthlyh_label, monthlyh_open)
label.set_text(monthlyh_label, pmhtext)
if mergebool
f_LevelMerge(pricearray, labelarray, monthlyh_open, monthlyh_label, MonthlyColor)
// the weekly open can be the daily open too (monday)
// only the weekly will be draw, in these case we update its label
//////////////////////////////////////////////////////////////////////////////// MONTHLY MID
if is_monthly_mid
monthlym_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
monthlym_time = monthlyh_time
monthlym_open = (monthlyl_open + monthlyh_open) / 2
if displayStyle == 'Right Anchored'
monthlym_time := get_limit_right(radistance)
monthlym_time
var monthlym_line = line.new(x1=monthlym_time, x2=monthlym_limit_right, y1=monthlym_open, y2=monthlym_open, color=MonthlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var monthlym_label = label.new(x=monthlym_limit_right, y=monthlym_open, text=pmmtext, style=DEFAULT_LABEL_STYLE, textcolor=MonthlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(monthlym_line, monthlym_time)
line.set_x2(monthlym_line, monthlym_limit_right)
line.set_y1(monthlym_line, monthlym_open)
line.set_y2(monthlym_line, monthlym_open)
label.set_x(monthlym_label, monthlym_limit_right)
label.set_y(monthlym_label, monthlym_open)
label.set_text(monthlym_label, pmmtext)
if mergebool
f_LevelMerge(pricearray, labelarray, monthlym_open, monthlym_label, MonthlyColor)
//////////////////////////////////////////////////////////////////////////////////
if is_monthly_enabled
monthly_limit_right = get_limit_right(DEFAULT_EXTEND_RIGHT)
if displayStyle == 'Right Anchored'
monthly_time := get_limit_right(radistance)
monthly_time
var monthlyLine = line.new(x1=monthly_time, x2=monthly_limit_right, y1=monthly_open, y2=monthly_open, color=MonthlyColor, width=DEFAULT_LINE_WIDTH, xloc=xloc.bar_time, style=linestyles)
var monthlyLabel = label.new(x=monthly_limit_right, y=monthly_open, text=motext, style=DEFAULT_LABEL_STYLE, textcolor=MonthlyColor, size=DEFAULT_LABEL_SIZE, xloc=xloc.bar_time)
line.set_x1(monthlyLine, monthly_time)
line.set_x2(monthlyLine, monthly_limit_right)
line.set_y1(monthlyLine, monthly_open)
line.set_y2(monthlyLine, monthly_open)
label.set_x(monthlyLabel, monthly_limit_right)
label.set_y(monthlyLabel, monthly_open)
label.set_text(monthlyLabel, motext)
if mergebool
f_LevelMerge(pricearray, labelarray, monthly_open, monthlyLabel, MonthlyColor)
/////////////////////////////////////////////////////////////////////////////
// the monthly open can be the weekly open (monday 1st) and/or daily open too
// only the monthly will be draw, in these case we update its label
// if is_monthly_open
// if can_show_daily
// label.set_text(monthlyLabel, "DO / MO ")
// if is_weekly_open
// if can_show_weekly
// label.set_text(monthlyLabel, "WO / MO ")
// if can_show_daily and can_show_weekly
// label.set_text(monthlyLabel, "DO / WO / MO ")
// the start of the line is drew from the first week of the month
// if the first day of the weekly candle (monday) is the 2nd of the month
// we fix the start of the line position on the Prev weekly candle
if timeframe.isweekly and dayofweek(monthly_time) != dayofweek.monday
line.set_x1(monthlyLine, monthly_time - (weekly_time - weekly_time ))
ADR % RangesThis indicator is designed to visually represent percentage lines from the open of the day. The % amount is determined by X amount of the last days to create an average...or Average Daily Range (ADR).
1. ADR Percentage Lines: The core function of the script is to apply lines to the chart that represent specific percentage changes from the daily open. It first calculates the average over X amount of days and then displays two lines that are 1/3rd of that average. One line goes above the other line goes below. The other two lines are the full "range" of the average. These lines can act as boundaries or targets to know how an asset has moved recently. *Past performance is not indicative of current or future results.
The calculation for ADR is:
Step 1. Calculate Today's Range = DailyHigh - DailyLow
Step 2. Store this average after the day has completed
Step 3. Sum all day's ranges
Step 4. Divide by total number of days
Step 5. Draw on chart
2. Customizable Inputs: Users have the flexibility to customize the script through various inputs. This includes the option to display lines only for the current trading day (`todayonly`), and to select which lines are displayed. The user can also opt to show a table the displays the total range of previous days and the average range of those previous days.
3. No Secondary Timeframe: The ADR is computed based on whatever timeframe the chart is and does not reference secondary periods. Therefore the script cannot be used on charts greater than daily.
This script is can be used by all traders for any market. The trader might have to adjust the "X" number of days back to compute a historical average. Maybe they only want to know the average over the past week (5 days) or maybe the past month (20 days).
D_H_L_OIndicator Name: D_H_L_O
Primary Function:
This indicator is designed to display buying pressure, selling pressure, and other key metrics derived from the daily candle on a TradingView chart. It helps you analyze market momentum, buying and selling forces, and price spreads.
Features Overview:
Basic Calculations from Daily Candle:
dailyHigh, dailyLow, dailyOpen, dailyClose: Represent the high, low, open, and close prices of the daily candle.
dailySpread: The difference between the high and low prices of the daily candle.
Buying and Selling Pressure:
Buying Pressure (high_open): The difference between the daily high and the open price.
Selling Pressure (low_open): The absolute difference between the daily low and the open price (displayed as a negative value).
deltaVolume: The net difference between buying and selling pressure.
Color and Visuals:
Blue (buyingColor): Indicates buying pressure for green (bullish) days.
Orange (sellingColor): Indicates selling pressure for red (bearish) days.
Displays bars with transparency to distinguish buying and selling forces.
Neutral Reference Line:
A horizontal line at 0 for quick visual comparison of buying and selling forces.
Labels for Key Information:
Displays values of buying pressure, selling pressure, and daily candle spread directly on the chart at corresponding bar positions.
Includes the weekday name (currentWeekday) for additional time context.
Historical Statistics:
Highest and lowest values of buying and selling pressure across the dataset.
Average buying and selling pressure.
Displays statistical summaries (like maximum pressure values) as labels on the last bar of the chart.
Benefits:
Detailed Market Pressure Visualization: Provides a clear view of the forces driving market movement each day.
Historical Context: Helps analyze historical trends in buying and selling pressures over time.
Decision-Making Support: Use pressure metrics to gauge market momentum and assess potential trends.
How to Use:
Copy and paste the script into TradingView (create a new indicator using Pine Script v5).
Add the indicator to your chart on any timeframe to observe daily candle metrics.
Customize colors, transparency, or other parameters to suit your trading style.
This indicator is ideal for traders who want to analyze price momentum and make decisions based on daily market behavior.
Naveen Prabhu with EMA//@version=6
indicator('Naveen Prabhu with EMA', overlay = true, max_labels_count = 500, max_lines_count = 500, max_boxes_count = 500)
a = input(2, title = 'Key Vaule. \'This changes the sensitivity\'')
c = input(5, title = 'ATR Period')
h = input(false, title = 'Signals from Heikin Ashi Candles')
BULLISH_LEG = 1
BEARISH_LEG = 0
BULLISH = +1
BEARISH = -1
GREEN = #089981
RED = #F23645
BLUE = #2157f3
GRAY = #878b94
MONO_BULLISH = #b2b5be
MONO_BEARISH = #5d606b
HISTORICAL = 'Historical'
PRESENT = 'Present'
COLORED = 'Colored'
MONOCHROME = 'Monochrome'
ALL = 'All'
BOS = 'BOS'
CHOCH = 'CHoCH'
TINY = size.tiny
SMALL = size.small
NORMAL = size.normal
ATR = 'Atr'
RANGE = 'Cumulative Mean Range'
CLOSE = 'Close'
HIGHLOW = 'High/Low'
SOLID = '⎯⎯⎯'
DASHED = '----'
DOTTED = '····'
SMART_GROUP = 'Smart Money Concepts'
INTERNAL_GROUP = 'Real Time Internal Structure'
SWING_GROUP = 'Real Time Swing Structure'
BLOCKS_GROUP = 'Order Blocks'
EQUAL_GROUP = 'EQH/EQL'
GAPS_GROUP = 'Fair Value Gaps'
LEVELS_GROUP = 'Highs & Lows MTF'
ZONES_GROUP = 'Premium & Discount Zones'
modeTooltip = 'Allows to display historical Structure or only the recent ones'
styleTooltip = 'Indicator color theme'
showTrendTooltip = 'Display additional candles with a color reflecting the current trend detected by structure'
showInternalsTooltip = 'Display internal market structure'
internalFilterConfluenceTooltip = 'Filter non significant internal structure breakouts'
showStructureTooltip = 'Display swing market Structure'
showSwingsTooltip = 'Display swing point as labels on the chart'
showHighLowSwingsTooltip = 'Highlight most recent strong and weak high/low points on the chart'
showInternalOrderBlocksTooltip = 'Display internal order blocks on the chart\n\nNumber of internal order blocks to display on the chart'
showSwingOrderBlocksTooltip = 'Display swing order blocks on the chart\n\nNumber of internal swing blocks to display on the chart'
orderBlockFilterTooltip = 'Method used to filter out volatile order blocks \n\nIt is recommended to use the cumulative mean range method when a low amount of data is available'
orderBlockMitigationTooltip = 'Select what values to use for order block mitigation'
showEqualHighsLowsTooltip = 'Display equal highs and equal lows on the chart'
equalHighsLowsLengthTooltip = 'Number of bars used to confirm equal highs and equal lows'
equalHighsLowsThresholdTooltip = 'Sensitivity threshold in a range (0, 1) used for the detection of equal highs & lows\n\nLower values will return fewer but more pertinent results'
showFairValueGapsTooltip = 'Display fair values gaps on the chart'
fairValueGapsThresholdTooltip = 'Filter out non significant fair value gaps'
fairValueGapsTimeframeTooltip = 'Fair value gaps timeframe'
fairValueGapsExtendTooltip = 'Determine how many bars to extend the Fair Value Gap boxes on chart'
showPremiumDiscountZonesTooltip = 'Display premium, discount, and equilibrium zones on chart'
modeInput = input.string( HISTORICAL, 'Mode', group = SMART_GROUP, tooltip = modeTooltip, options = )
styleInput = input.string( COLORED, 'Style', group = SMART_GROUP, tooltip = styleTooltip,options = )
showTrendInput = input( false, 'Color Candles', group = SMART_GROUP, tooltip = showTrendTooltip)
showInternalsInput = input( false, 'Show Internal Structure', group = INTERNAL_GROUP, tooltip = showInternalsTooltip)
showInternalBullInput = input.string( ALL, 'Bullish Structure', group = INTERNAL_GROUP, inline = 'ibull', options = )
internalBullColorInput = input( GREEN, '', group = INTERNAL_GROUP, inline = 'ibull')
showInternalBearInput = input.string( ALL, 'Bearish Structure' , group = INTERNAL_GROUP, inline = 'ibear', options = )
internalBearColorInput = input( RED, '', group = INTERNAL_GROUP, inline = 'ibear')
internalFilterConfluenceInput = input( false, 'Confluence Filter', group = INTERNAL_GROUP, tooltip = internalFilterConfluenceTooltip)
internalStructureSize = input.string( TINY, 'Internal Label Size', group = INTERNAL_GROUP, options = )
showStructureInput = input( false, 'Show Swing Structure', group = SWING_GROUP, tooltip = showStructureTooltip)
showSwingBullInput = input.string( ALL, 'Bullish Structure', group = SWING_GROUP, inline = 'bull', options = )
swingBullColorInput = input( GREEN, '', group = SWING_GROUP, inline = 'bull')
showSwingBearInput = input.string( ALL, 'Bearish Structure', group = SWING_GROUP, inline = 'bear', options = )
swingBearColorInput = input( RED, '', group = SWING_GROUP, inline = 'bear')
swingStructureSize = input.string( SMALL, 'Swing Label Size', group = SWING_GROUP, options = )
showSwingsInput = input( false, 'Show Swings Points', group = SWING_GROUP, tooltip = showSwingsTooltip,inline = 'swings')
swingsLengthInput = input.int( 50, '', group = SWING_GROUP, minval = 10, inline = 'swings')
showHighLowSwingsInput = input( false, 'Show Strong/Weak High/Low',group = SWING_GROUP, tooltip = showHighLowSwingsTooltip)
showInternalOrderBlocksInput = input( true, 'Internal Order Blocks' , group = BLOCKS_GROUP, tooltip = showInternalOrderBlocksTooltip, inline = 'iob')
internalOrderBlocksSizeInput = input.int( 5, '', group = BLOCKS_GROUP, minval = 1, maxval = 20, inline = 'iob')
showSwingOrderBlocksInput = input( true, 'Swing Order Blocks', group = BLOCKS_GROUP, tooltip = showSwingOrderBlocksTooltip, inline = 'ob')
swingOrderBlocksSizeInput = input.int( 5, '', group = BLOCKS_GROUP, minval = 1, maxval = 20, inline = 'ob')
orderBlockFilterInput = input.string( 'Atr', 'Order Block Filter', group = BLOCKS_GROUP, tooltip = orderBlockFilterTooltip, options = )
orderBlockMitigationInput = input.string( HIGHLOW, 'Order Block Mitigation', group = BLOCKS_GROUP, tooltip = orderBlockMitigationTooltip, options = )
internalBullishOrderBlockColor = input.color(color.new(GREEN, 80), 'Internal Bullish OB', group = BLOCKS_GROUP)
internalBearishOrderBlockColor = input.color(color.new(#f77c80, 80), 'Internal Bearish OB', group = BLOCKS_GROUP)
swingBullishOrderBlockColor = input.color(color.new(GREEN, 80), 'Bullish OB', group = BLOCKS_GROUP)
swingBearishOrderBlockColor = input.color(color.new(#b22833, 80), 'Bearish OB', group = BLOCKS_GROUP)
showEqualHighsLowsInput = input( false, 'Equal High/Low', group = EQUAL_GROUP, tooltip = showEqualHighsLowsTooltip)
equalHighsLowsLengthInput = input.int( 3, 'Bars Confirmation', group = EQUAL_GROUP, tooltip = equalHighsLowsLengthTooltip, minval = 1)
equalHighsLowsThresholdInput = input.float( 0.1, 'Threshold', group = EQUAL_GROUP, tooltip = equalHighsLowsThresholdTooltip, minval = 0, maxval = 0.5, step = 0.1)
equalHighsLowsSizeInput = input.string( TINY, 'Label Size', group = EQUAL_GROUP, options = )
showFairValueGapsInput = input( false, 'Fair Value Gaps', group = GAPS_GROUP, tooltip = showFairValueGapsTooltip)
fairValueGapsThresholdInput = input( true, 'Auto Threshold', group = GAPS_GROUP, tooltip = fairValueGapsThresholdTooltip)
fairValueGapsTimeframeInput = input.timeframe('', 'Timeframe', group = GAPS_GROUP, tooltip = fairValueGapsTimeframeTooltip)
fairValueGapsBullColorInput = input.color(color.new(#00ff68, 70), 'Bullish FVG' , group = GAPS_GROUP)
fairValueGapsBearColorInput = input.color(color.new(#ff0008, 70), 'Bearish FVG' , group = GAPS_GROUP)
fairValueGapsExtendInput = input.int( 1, 'Extend FVG', group = GAPS_GROUP, tooltip = fairValueGapsExtendTooltip, minval = 0)
showDailyLevelsInput = input( false, 'Daily', group = LEVELS_GROUP, inline = 'daily')
dailyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'daily', options = )
dailyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'daily')
showWeeklyLevelsInput = input( false, 'Weekly', group = LEVELS_GROUP, inline = 'weekly')
weeklyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'weekly', options = )
weeklyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'weekly')
showMonthlyLevelsInput = input( false, 'Monthly', group = LEVELS_GROUP, inline = 'monthly')
monthlyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'monthly', options = )
monthlyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'monthly')
showPremiumDiscountZonesInput = input( false, 'Premium/Discount Zones', group = ZONES_GROUP , tooltip = showPremiumDiscountZonesTooltip)
premiumZoneColorInput = input.color( RED, 'Premium Zone', group = ZONES_GROUP)
equilibriumZoneColorInput = input.color( GRAY, 'Equilibrium Zone', group = ZONES_GROUP)
discountZoneColorInput = input.color( GREEN, 'Discount Zone', group = ZONES_GROUP)
type alerts
bool internalBullishBOS = false
bool internalBearishBOS = false
bool internalBullishCHoCH = false
bool internalBearishCHoCH = false
bool swingBullishBOS = false
bool swingBearishBOS = false
bool swingBullishCHoCH = false
bool swingBearishCHoCH = false
bool internalBullishOrderBlock = false
bool internalBearishOrderBlock = false
bool swingBullishOrderBlock = false
bool swingBearishOrderBlock = false
bool equalHighs = false
bool equalLows = false
bool bullishFairValueGap = false
bool bearishFairValueGap = false
type trailingExtremes
float top
float bottom
int barTime
int barIndex
int lastTopTime
int lastBottomTime
type fairValueGap
float top
float bottom
int bias
box topBox
box bottomBox
type trend
int bias
type equalDisplay
line l_ine = na
label l_abel = na
type pivot
float currentLevel
float lastLevel
bool crossed
int barTime = time
int barIndex = bar_index
type orderBlock
float barHigh
float barLow
int barTime
int bias
// @variable current swing pivot high
var pivot swingHigh = pivot.new(na,na,false)
// @variable current swing pivot low
var pivot swingLow = pivot.new(na,na,false)
// @variable current internal pivot high
var pivot internalHigh = pivot.new(na,na,false)
// @variable current internal pivot low
var pivot internalLow = pivot.new(na,na,false)
// @variable current equal high pivot
var pivot equalHigh = pivot.new(na,na,false)
// @variable current equal low pivot
var pivot equalLow = pivot.new(na,na,false)
// @variable swing trend bias
var trend swingTrend = trend.new(0)
// @variable internal trend bias
var trend internalTrend = trend.new(0)
// @variable equal high display
var equalDisplay equalHighDisplay = equalDisplay.new()
// @variable equal low display
var equalDisplay equalLowDisplay = equalDisplay.new()
// @variable storage for fairValueGap UDTs
var array fairValueGaps = array.new()
// @variable storage for parsed highs
var array parsedHighs = array.new()
// @variable storage for parsed lows
var array parsedLows = array.new()
// @variable storage for raw highs
var array highs = array.new()
// @variable storage for raw lows
var array lows = array.new()
// @variable storage for bar time values
var array times = array.new()
// @variable last trailing swing high and low
var trailingExtremes trailing = trailingExtremes.new()
// @variable storage for orderBlock UDTs (swing order blocks)
var array swingOrderBlocks = array.new()
// @variable storage for orderBlock UDTs (internal order blocks)
var array internalOrderBlocks = array.new()
// @variable storage for swing order blocks boxes
var array swingOrderBlocksBoxes = array.new()
// @variable storage for internal order blocks boxes
var array internalOrderBlocksBoxes = array.new()
// @variable color for swing bullish structures
var swingBullishColor = styleInput == MONOCHROME ? MONO_BULLISH : swingBullColorInput
// @variable color for swing bearish structures
var swingBearishColor = styleInput == MONOCHROME ? MONO_BEARISH : swingBearColorInput
// @variable color for bullish fair value gaps
var fairValueGapBullishColor = styleInput == MONOCHROME ? color.new(MONO_BULLISH,70) : fairValueGapsBullColorInput
// @variable color for bearish fair value gaps
var fairValueGapBearishColor = styleInput == MONOCHROME ? color.new(MONO_BEARISH,70) : fairValueGapsBearColorInput
// @variable color for premium zone
var premiumZoneColor = styleInput == MONOCHROME ? MONO_BEARISH : premiumZoneColorInput
// @variable color for discount zone
var discountZoneColor = styleInput == MONOCHROME ? MONO_BULLISH : discountZoneColorInput
// @variable bar index on current script iteration
varip int currentBarIndex = bar_index
// @variable bar index on last script iteration
varip int lastBarIndex = bar_index
// @variable alerts in current bar
alerts currentAlerts = alerts.new()
// @variable time at start of chart
var initialTime = time
// we create the needed boxes for displaying order blocks at the first execution
if barstate.isfirst
if showSwingOrderBlocksInput
for index = 1 to swingOrderBlocksSizeInput
swingOrderBlocksBoxes.push(box.new(na,na,na,na,xloc = xloc.bar_time,extend = extend.right))
if showInternalOrderBlocksInput
for index = 1 to internalOrderBlocksSizeInput
internalOrderBlocksBoxes.push(box.new(na,na,na,na,xloc = xloc.bar_time,extend = extend.right))
// @variable source to use in bearish order blocks mitigation
bearishOrderBlockMitigationSource = orderBlockMitigationInput == CLOSE ? close : high
// @variable source to use in bullish order blocks mitigation
bullishOrderBlockMitigationSource = orderBlockMitigationInput == CLOSE ? close : low
// @variable default volatility measure
atrMeasure = ta.atr(200)
// @variable parsed volatility measure by user settings
volatilityMeasure = orderBlockFilterInput == ATR ? atrMeasure : ta.cum(ta.tr)/bar_index
// @variable true if current bar is a high volatility bar
highVolatilityBar = (high - low) >= (2 * volatilityMeasure)
// @variable parsed high
parsedHigh = highVolatilityBar ? low : high
// @variable parsed low
parsedLow = highVolatilityBar ? high : low
// we store current values into the arrays at each bar
parsedHighs.push(parsedHigh)
parsedLows.push(parsedLow)
highs.push(high)
lows.push(low)
times.push(time)
leg(int size) =>
var leg = 0
newLegHigh = high > ta.highest( size)
newLegLow = low < ta.lowest( size)
if newLegHigh
leg := BEARISH_LEG
else if newLegLow
leg := BULLISH_LEG
leg
startOfNewLeg(int leg) => ta.change(leg) != 0
startOfBearishLeg(int leg) => ta.change(leg) == -1
startOfBullishLeg(int leg) => ta.change(leg) == +1
drawLabel(int labelTime, float labelPrice, string tag, color labelColor, string labelStyle) =>
var label l_abel = na
if modeInput == PRESENT
l_abel.delete()
l_abel := label.new(chart.point.new(labelTime,na,labelPrice),tag,xloc.bar_time,color=color(na),textcolor=labelColor,style = labelStyle,size = size.small)
drawEqualHighLow(pivot p_ivot, float level, int size, bool equalHigh) =>
equalDisplay e_qualDisplay = equalHigh ? equalHighDisplay : equalLowDisplay
string tag = 'EQL'
color equalColor = swingBullishColor
string labelStyle = label.style_label_up
if equalHigh
tag := 'EQH'
equalColor := swingBearishColor
labelStyle := label.style_label_down
if modeInput == PRESENT
line.delete( e_qualDisplay.l_ine)
label.delete( e_qualDisplay.l_abel)
e_qualDisplay.l_ine := line.new(chart.point.new(p_ivot.barTime,na,p_ivot.currentLevel), chart.point.new(time ,na,level), xloc = xloc.bar_time, color = equalColor, style = line.style_dotted)
labelPosition = math.round(0.5*(p_ivot.barIndex + bar_index - size))
e_qualDisplay.l_abel := label.new(chart.point.new(na,labelPosition,level), tag, xloc.bar_index, color = color(na), textcolor = equalColor, style = labelStyle, size = equalHighsLowsSizeInput)
getCurrentStructure(int size,bool equalHighLow = false, bool internal = false) =>
currentLeg = leg(size)
newPivot = startOfNewLeg(currentLeg)
pivotLow = startOfBullishLeg(currentLeg)
pivotHigh = startOfBearishLeg(currentLeg)
if newPivot
if pivotLow
pivot p_ivot = equalHighLow ? equalLow : internal ? internalLow : swingLow
if equalHighLow and math.abs(p_ivot.currentLevel - low ) < equalHighsLowsThresholdInput * atrMeasure
drawEqualHighLow(p_ivot, low , size, false)
p_ivot.lastLevel := p_ivot.currentLevel
p_ivot.currentLevel := low
p_ivot.crossed := false
p_ivot.barTime := time
p_ivot.barIndex := bar_index
if not equalHighLow and not internal
trailing.bottom := p_ivot.currentLevel
trailing.barTime := p_ivot.barTime
trailing.barIndex := p_ivot.barIndex
trailing.lastBottomTime := p_ivot.barTime
if showSwingsInput and not internal and not equalHighLow
drawLabel(time , p_ivot.currentLevel, p_ivot.currentLevel < p_ivot.lastLevel ? 'LL' : 'HL', swingBullishColor, label.style_label_up)
else
pivot p_ivot = equalHighLow ? equalHigh : internal ? internalHigh : swingHigh
if equalHighLow and math.abs(p_ivot.currentLevel - high ) < equalHighsLowsThresholdInput * atrMeasure
drawEqualHighLow(p_ivot,high ,size,true)
p_ivot.lastLevel := p_ivot.currentLevel
p_ivot.currentLevel := high
p_ivot.crossed := false
p_ivot.barTime := time
p_ivot.barIndex := bar_index
if not equalHighLow and not internal
trailing.top := p_ivot.currentLevel
trailing.barTime := p_ivot.barTime
trailing.barIndex := p_ivot.barIndex
trailing.lastTopTime := p_ivot.barTime
if showSwingsInput and not internal and not equalHighLow
drawLabel(time , p_ivot.currentLevel, p_ivot.currentLevel > p_ivot.lastLevel ? 'HH' : 'LH', swingBearishColor, label.style_label_down)
drawStructure(pivot p_ivot, string tag, color structureColor, string lineStyle, string labelStyle, string labelSize) =>
var line l_ine = line.new(na,na,na,na,xloc = xloc.bar_time)
var label l_abel = label.new(na,na)
if modeInput == PRESENT
l_ine.delete()
l_abel.delete()
l_ine := line.new(chart.point.new(p_ivot.barTime,na,p_ivot.currentLevel), chart.point.new(time,na,p_ivot.currentLevel), xloc.bar_time, color=structureColor, style=lineStyle)
l_abel := label.new(chart.point.new(na,math.round(0.5*(p_ivot.barIndex+bar_index)),p_ivot.currentLevel), tag, xloc.bar_index, color=color(na), textcolor=structureColor, style=labelStyle, size = labelSize)
deleteOrderBlocks(bool internal = false) =>
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
for in orderBlocks
bool crossedOderBlock = false
if bearishOrderBlockMitigationSource > eachOrderBlock.barHigh and eachOrderBlock.bias == BEARISH
crossedOderBlock := true
if internal
currentAlerts.internalBearishOrderBlock := true
else
currentAlerts.swingBearishOrderBlock := true
else if bullishOrderBlockMitigationSource < eachOrderBlock.barLow and eachOrderBlock.bias == BULLISH
crossedOderBlock := true
if internal
currentAlerts.internalBullishOrderBlock := true
else
currentAlerts.swingBullishOrderBlock := true
if crossedOderBlock
orderBlocks.remove(index)
storeOrdeBlock(pivot p_ivot,bool internal = false,int bias) =>
if (not internal and showSwingOrderBlocksInput) or (internal and showInternalOrderBlocksInput)
array a_rray = na
int parsedIndex = na
if bias == BEARISH
a_rray := parsedHighs.slice(p_ivot.barIndex,bar_index)
parsedIndex := p_ivot.barIndex + a_rray.indexof(a_rray.max())
else
a_rray := parsedLows.slice(p_ivot.barIndex,bar_index)
parsedIndex := p_ivot.barIndex + a_rray.indexof(a_rray.min())
orderBlock o_rderBlock = orderBlock.new(parsedHighs.get(parsedIndex), parsedLows.get(parsedIndex), times.get(parsedIndex),bias)
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
if orderBlocks.size() >= 100
orderBlocks.pop()
orderBlocks.unshift(o_rderBlock)
drawOrderBlocks(bool internal = false) =>
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
orderBlocksSize = orderBlocks.size()
if orderBlocksSize > 0
maxOrderBlocks = internal ? internalOrderBlocksSizeInput : swingOrderBlocksSizeInput
array parsedOrdeBlocks = orderBlocks.slice(0, math.min(maxOrderBlocks,orderBlocksSize))
array b_oxes = internal ? internalOrderBlocksBoxes : swingOrderBlocksBoxes
for in parsedOrdeBlocks
orderBlockColor = styleInput == MONOCHROME ? (eachOrderBlock.bias == BEARISH ? color.new(MONO_BEARISH,80) : color.new(MONO_BULLISH,80)) : internal ? (eachOrderBlock.bias == BEARISH ? internalBearishOrderBlockColor : internalBullishOrderBlockColor) : (eachOrderBlock.bias == BEARISH ? swingBearishOrderBlockColor : swingBullishOrderBlockColor)
box b_ox = b_oxes.get(index)
b_ox.set_top_left_point( chart.point.new(eachOrderBlock.barTime,na,eachOrderBlock.barHigh))
b_ox.set_bottom_right_point(chart.point.new(last_bar_time,na,eachOrderBlock.barLow))
b_ox.set_border_color( internal ? na : orderBlockColor)
b_ox.set_bgcolor( orderBlockColor)
displayStructure(bool internal = false) =>
var bullishBar = true
var bearishBar = true
if internalFilterConfluenceInput
bullishBar := high - math.max(close, open) > math.min(close, open - low)
bearishBar := high - math.max(close, open) < math.min(close, open - low)
pivot p_ivot = internal ? internalHigh : swingHigh
trend t_rend = internal ? internalTrend : swingTrend
lineStyle = internal ? line.style_dashed : line.style_solid
labelSize = internal ? internalStructureSize : swingStructureSize
extraCondition = internal ? internalHigh.currentLevel != swingHigh.currentLevel and bullishBar : true
bullishColor = styleInput == MONOCHROME ? MONO_BULLISH : internal ? internalBullColorInput : swingBullColorInput
if ta.crossover(close,p_ivot.currentLevel) and not p_ivot.crossed and extraCondition
string tag = t_rend.bias == BEARISH ? CHOCH : BOS
if internal
currentAlerts.internalBullishCHoCH := tag == CHOCH
currentAlerts.internalBullishBOS := tag == BOS
else
currentAlerts.swingBullishCHoCH := tag == CHOCH
currentAlerts.swingBullishBOS := tag == BOS
p_ivot.crossed := true
t_rend.bias := BULLISH
displayCondition = internal ? showInternalsInput and (showInternalBullInput == ALL or (showInternalBullInput == BOS and tag != CHOCH) or (showInternalBullInput == CHOCH and tag == CHOCH)) : showStructureInput and (showSwingBullInput == ALL or (showSwingBullInput == BOS and tag != CHOCH) or (showSwingBullInput == CHOCH and tag == CHOCH))
if displayCondition
drawStructure(p_ivot,tag,bullishColor,lineStyle,label.style_label_down,labelSize)
if (internal and showInternalOrderBlocksInput) or (not internal and showSwingOrderBlocksInput)
storeOrdeBlock(p_ivot,internal,BULLISH)
p_ivot := internal ? internalLow : swingLow
extraCondition := internal ? internalLow.currentLevel != swingLow.currentLevel and bearishBar : true
bearishColor = styleInput == MONOCHROME ? MONO_BEARISH : internal ? internalBearColorInput : swingBearColorInput
if ta.crossunder(close,p_ivot.currentLevel) and not p_ivot.crossed and extraCondition
string tag = t_rend.bias == BULLISH ? CHOCH : BOS
if internal
currentAlerts.internalBearishCHoCH := tag == CHOCH
currentAlerts.internalBearishBOS := tag == BOS
else
currentAlerts.swingBearishCHoCH := tag == CHOCH
currentAlerts.swingBearishBOS := tag == BOS
p_ivot.crossed := true
t_rend.bias := BEARISH
displayCondition = internal ? showInternalsInput and (showInternalBearInput == ALL or (showInternalBearInput == BOS and tag != CHOCH) or (showInternalBearInput == CHOCH and tag == CHOCH)) : showStructureInput and (showSwingBearInput == ALL or (showSwingBearInput == BOS and tag != CHOCH) or (showSwingBearInput == CHOCH and tag == CHOCH))
if displayCondition
drawStructure(p_ivot,tag,bearishColor,lineStyle,label.style_label_up,labelSize)
if (internal and showInternalOrderBlocksInput) or (not internal and showSwingOrderBlocksInput)
storeOrdeBlock(p_ivot,internal,BEARISH)
fairValueGapBox(leftTime,rightTime,topPrice,bottomPrice,boxColor) => box.new(chart.point.new(leftTime,na,topPrice),chart.point.new(rightTime + fairValueGapsExtendInput * (time-time ),na,bottomPrice), xloc=xloc.bar_time, border_color = boxColor, bgcolor = boxColor)
deleteFairValueGaps() =>
for in fairValueGaps
if (low < eachFairValueGap.bottom and eachFairValueGap.bias == BULLISH) or (high > eachFairValueGap.top and eachFairValueGap.bias == BEARISH)
eachFairValueGap.topBox.delete()
eachFairValueGap.bottomBox.delete()
fairValueGaps.remove(index)
// @function draw fair value gaps
// @returns fairValueGap ID
drawFairValueGaps() =>
= request.security(syminfo.tickerid, fairValueGapsTimeframeInput, [close , open , time , high , low , time , high , low ],lookahead = barmerge.lookahead_on)
barDeltaPercent = (lastClose - lastOpen) / (lastOpen * 100)
newTimeframe = timeframe.change(fairValueGapsTimeframeInput)
threshold = fairValueGapsThresholdInput ? ta.cum(math.abs(newTimeframe ? barDeltaPercent : 0)) / bar_index * 2 : 0
bullishFairValueGap = currentLow > last2High and lastClose > last2High and barDeltaPercent > threshold and newTimeframe
bearishFairValueGap = currentHigh < last2Low and lastClose < last2Low and -barDeltaPercent > threshold and newTimeframe
if bullishFairValueGap
currentAlerts.bullishFairValueGap := true
fairValueGaps.unshift(fairValueGap.new(currentLow,last2High,BULLISH,fairValueGapBox(lastTime,currentTime,currentLow,math.avg(currentLow,last2High),fairValueGapBullishColor),fairValueGapBox(lastTime,currentTime,math.avg(currentLow,last2High),last2High,fairValueGapBullishColor)))
if bearishFairValueGap
currentAlerts.bearishFairValueGap := true
fairValueGaps.unshift(fairValueGap.new(currentHigh,last2Low,BEARISH,fairValueGapBox(lastTime,currentTime,currentHigh,math.avg(currentHigh,last2Low),fairValueGapBearishColor),fairValueGapBox(lastTime,currentTime,math.avg(currentHigh,last2Low),last2Low,fairValueGapBearishColor)))
getStyle(string style) =>
switch style
SOLID => line.style_solid
DASHED => line.style_dashed
DOTTED => line.style_dotted
drawLevels(string timeframe, bool sameTimeframe, string style, color levelColor) =>
= request.security(syminfo.tickerid, timeframe, [high , low , time , time],lookahead = barmerge.lookahead_on)
float parsedTop = sameTimeframe ? high : topLevel
float parsedBottom = sameTimeframe ? low : bottomLevel
int parsedLeftTime = sameTimeframe ? time : leftTime
int parsedRightTime = sameTimeframe ? time : rightTime
int parsedTopTime = time
int parsedBottomTime = time
if not sameTimeframe
int leftIndex = times.binary_search_rightmost(parsedLeftTime)
int rightIndex = times.binary_search_rightmost(parsedRightTime)
array timeArray = times.slice(leftIndex,rightIndex)
array topArray = highs.slice(leftIndex,rightIndex)
array bottomArray = lows.slice(leftIndex,rightIndex)
parsedTopTime := timeArray.size() > 0 ? timeArray.get(topArray.indexof(topArray.max())) : initialTime
parsedBottomTime := timeArray.size() > 0 ? timeArray.get(bottomArray.indexof(bottomArray.min())) : initialTime
var line topLine = line.new(na, na, na, na, xloc = xloc.bar_time, color = levelColor, style = getStyle(style))
var line bottomLine = line.new(na, na, na, na, xloc = xloc.bar_time, color = levelColor, style = getStyle(style))
var label topLabel = label.new(na, na, xloc = xloc.bar_time, text = str.format('P{0}H',timeframe), color=color(na), textcolor = levelColor, size = size.small, style = label.style_label_left)
var label bottomLabel = label.new(na, na, xloc = xloc.bar_time, text = str.format('P{0}L',timeframe), color=color(na), textcolor = levelColor, size = size.small, style = label.style_label_left)
topLine.set_first_point( chart.point.new(parsedTopTime,na,parsedTop))
topLine.set_second_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedTop))
topLabel.set_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedTop))
bottomLine.set_first_point( chart.point.new(parsedBottomTime,na,parsedBottom))
bottomLine.set_second_point(chart.point.new(last_bar_time + 20 * (time-time ),na,parsedBottom))
bottomLabel.set_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedBottom))
higherTimeframe(string timeframe) => timeframe.in_seconds() > timeframe.in_seconds(timeframe)
updateTrailingExtremes() =>
trailing.top := math.max(high,trailing.top)
trailing.lastTopTime := trailing.top == high ? time : trailing.lastTopTime
trailing.bottom := math.min(low,trailing.bottom)
trailing.lastBottomTime := trailing.bottom == low ? time : trailing.lastBottomTime
drawHighLowSwings() =>
var line topLine = line.new(na, na, na, na, color = swingBearishColor, xloc = xloc.bar_time)
var line bottomLine = line.new(na, na, na, na, color = swingBullishColor, xloc = xloc.bar_time)
var label topLabel = label.new(na, na, color=color(na), textcolor = swingBearishColor, xloc = xloc.bar_time, style = label.style_label_down, size = size.tiny)
var label bottomLabel = label.new(na, na, color=color(na), textcolor = swingBullishColor, xloc = xloc.bar_time, style = label.style_label_up, size = size.tiny)
rightTimeBar = last_bar_time + 20 * (time - time )
topLine.set_first_point( chart.point.new(trailing.lastTopTime, na, trailing.top))
topLine.set_second_point( chart.point.new(rightTimeBar, na, trailing.top))
topLabel.set_point( chart.point.new(rightTimeBar, na, trailing.top))
topLabel.set_text( swingTrend.bias == BEARISH ? 'Strong High' : 'Weak High')
bottomLine.set_first_point( chart.point.new(trailing.lastBottomTime, na, trailing.bottom))
bottomLine.set_second_point(chart.point.new(rightTimeBar, na, trailing.bottom))
bottomLabel.set_point( chart.point.new(rightTimeBar, na, trailing.bottom))
bottomLabel.set_text( swingTrend.bias == BULLISH ? 'Strong Low' : 'Weak Low')
drawZone(float labelLevel, int labelIndex, float top, float bottom, string tag, color zoneColor, string style) =>
var label l_abel = label.new(na,na,text = tag, color=color(na),textcolor = zoneColor, style = style, size = size.small)
var box b_ox = box.new(na,na,na,na,bgcolor = color.new(zoneColor,80),border_color = color(na), xloc = xloc.bar_time)
b_ox.set_top_left_point( chart.point.new(trailing.barTime,na,top))
b_ox.set_bottom_right_point(chart.point.new(last_bar_time,na,bottom))
l_abel.set_point( chart.point.new(na,labelIndex,labelLevel))
// @function draw premium/discount zones
// @returns void
drawPremiumDiscountZones() =>
drawZone(trailing.top, math.round(0.5*(trailing.barIndex + last_bar_index)), trailing.top, 0.95*trailing.top + 0.05*trailing.bottom, 'Premium', premiumZoneColor, label.style_label_down)
equilibriumLevel = math.avg(trailing.top, trailing.bottom)
drawZone(equilibriumLevel, last_bar_index, 0.525*trailing.top + 0.475*trailing.bottom, 0.525*trailing.bottom + 0.475*trailing.top, 'Equilibrium', equilibriumZoneColorInput, label.style_label_left)
drawZone(trailing.bottom, math.round(0.5*(trailing.barIndex + last_bar_index)), 0.95*trailing.bottom + 0.05*trailing.top, trailing.bottom, 'Discount', discountZoneColor, label.style_label_up)
parsedOpen = showTrendInput ? open : na
candleColor = internalTrend.bias == BULLISH ? swingBullishColor : swingBearishColor
plotcandle(parsedOpen,high,low,close,color = candleColor, wickcolor = candleColor, bordercolor = candleColor)
if showHighLowSwingsInput or showPremiumDiscountZonesInput
updateTrailingExtremes()
if showHighLowSwingsInput
drawHighLowSwings()
if showPremiumDiscountZonesInput
drawPremiumDiscountZones()
if showFairValueGapsInput
deleteFairValueGaps()
getCurrentStructure(swingsLengthInput,false)
getCurrentStructure(5,false,true)
if showEqualHighsLowsInput
getCurrentStructure(equalHighsLowsLengthInput,true)
if showInternalsInput or showInternalOrderBlocksInput or showTrendInput
displayStructure(true)
if showStructureInput or showSwingOrderBlocksInput or showHighLowSwingsInput
displayStructure()
if showInternalOrderBlocksInput
deleteOrderBlocks(true)
if showSwingOrderBlocksInput
deleteOrderBlocks()
if showFairValueGapsInput
drawFairValueGaps()
if barstate.islastconfirmedhistory or barstate.islast
if showInternalOrderBlocksInput
drawOrderBlocks(true)
if showSwingOrderBlocksInput
drawOrderBlocks()
lastBarIndex := currentBarIndex
currentBarIndex := bar_index
newBar = currentBarIndex != lastBarIndex
if barstate.islastconfirmedhistory or (barstate.isrealtime and newBar)
if showDailyLevelsInput and not higherTimeframe('D')
drawLevels('D',timeframe.isdaily,dailyLevelsStyleInput,dailyLevelsColorInput)
if showWeeklyLevelsInput and not higherTimeframe('W')
drawLevels('W',timeframe.isweekly,weeklyLevelsStyleInput,weeklyLevelsColorInput)
if showMonthlyLevelsInput and not higherTimeframe('M')
drawLevels('M',timeframe.ismonthly,monthlyLevelsStyleInput,monthlyLevelsColorInput)
xATR = ta.atr(c)
nLoss = a * xATR
src = h ? request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, close, lookahead = barmerge.lookahead_off) : close
xATRTrailingStop = 0.0
iff_1 = src > nz(xATRTrailingStop , 0) ? src - nLoss : src + nLoss
iff_2 = src < nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? math.min(nz(xATRTrailingStop ), src + nLoss) : iff_1
xATRTrailingStop := src > nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? math.max(nz(xATRTrailingStop ), src - nLoss) : iff_2
pos = 0
iff_3 = src > nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? -1 : nz(pos , 0)
pos := src < nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? 1 : iff_3
xcolor = pos == -1 ? color.red : pos == 1 ? color.green : color.blue
ema = ta.ema(src, 1)
above = ta.crossover(ema, xATRTrailingStop)
below = ta.crossover(xATRTrailingStop, ema)
buy = src > xATRTrailingStop and above
sell = src < xATRTrailingStop and below
barbuy = src > xATRTrailingStop
barsell = src < xATRTrailingStop
//---------------------------------------------------------------------------------------------------------------------}
//ALERTS
//---------------------------------------------------------------------------------------------------------------------{
alertcondition(currentAlerts.internalBullishBOS, 'Internal Bullish BOS', 'Internal Bullish BOS formed')
alertcondition(currentAlerts.internalBullishCHoCH, 'Internal Bullish CHoCH', 'Internal Bullish CHoCH formed')
alertcondition(currentAlerts.internalBearishBOS, 'Internal Bearish BOS', 'Internal Bearish BOS formed')
alertcondition(currentAlerts.internalBearishCHoCH, 'Internal Bearish CHoCH', 'Internal Bearish CHoCH formed')
alertcondition(currentAlerts.swingBullishBOS, 'Bullish BOS', 'Internal Bullish BOS formed')
alertcondition(currentAlerts.swingBullishCHoCH, 'Bullish CHoCH', 'Internal Bullish CHoCH formed')
alertcondition(currentAlerts.swingBearishBOS, 'Bearish BOS', 'Bearish BOS formed')
alertcondition(currentAlerts.swingBearishCHoCH, 'Bearish CHoCH', 'Bearish CHoCH formed')
alertcondition(currentAlerts.internalBullishOrderBlock, 'Bullish Internal OB Breakout', 'Price broke bullish internal OB')
alertcondition(currentAlerts.internalBearishOrderBlock, 'Bearish Internal OB Breakout', 'Price broke bearish internal OB')
alertcondition(currentAlerts.swingBullishOrderBlock, 'Bullish Swing OB Breakout', 'Price broke bullish swing OB')
alertcondition(currentAlerts.swingBearishOrderBlock, 'Bearish Swing OB Breakout', 'Price broke bearish swing OB')
alertcondition(currentAlerts.equalHighs, 'Equal Highs', 'Equal highs detected')
alertcondition(currentAlerts.equalLows, 'Equal Lows', 'Equal lows detected')
alertcondition(currentAlerts.bullishFairValueGap, 'Bullish FVG', 'Bullish FVG formed')
alertcondition(currentAlerts.bearishFairValueGap, 'Bearish FVG', 'Bearish FVG formed')
alertcondition(buy, 'UT Long', 'UT Long')
alertcondition(sell, 'UT Short', 'UT Short')
plotshape(buy, title = 'Buy', text = 'Buy', style = shape.labelup, location = location.belowbar, color = color.new(color.green, 0), textcolor = color.new(color.white, 0), size = size.tiny)
plotshape(sell, title = 'Sell', text = 'Sell', style = shape.labeldown, location = location.abovebar, color = color.new(color.red, 0), textcolor = color.new(color.white, 0), size = size.tiny)
//--------------------------------------------------------------------------------------
// EMA ADDITIONS (Editable)
//--------------------------------------------------------------------------------------
ema5Len = input.int(5, "5 EMA Length", minval = 1)
ema9Len = input.int(9, "9 EMA Length", minval = 1)
ema5 = ta.ema(src, ema5Len)
ema9 = ta.ema(src, ema9Len)
plot(ema5, "EMA 5", color = color.red, linewidth = 2)
plot(ema9, "EMA 9", color = color.blue, linewidth = 2)
barcolor(barbuy ? color.green : na)
barcolor(barsell ? color.red : na)
Naveen Prabhu with EMA//@version=6
indicator('Naveen Prabhu with EMA', overlay = true, max_labels_count = 500, max_lines_count = 500, max_boxes_count = 500)
a = input(2, title = 'Key Vaule. \'This changes the sensitivity\'')
c = input(5, title = 'ATR Period')
h = input(false, title = 'Signals from Heikin Ashi Candles')
BULLISH_LEG = 1
BEARISH_LEG = 0
BULLISH = +1
BEARISH = -1
GREEN = #089981
RED = #F23645
BLUE = #2157f3
GRAY = #878b94
MONO_BULLISH = #b2b5be
MONO_BEARISH = #5d606b
HISTORICAL = 'Historical'
PRESENT = 'Present'
COLORED = 'Colored'
MONOCHROME = 'Monochrome'
ALL = 'All'
BOS = 'BOS'
CHOCH = 'CHoCH'
TINY = size.tiny
SMALL = size.small
NORMAL = size.normal
ATR = 'Atr'
RANGE = 'Cumulative Mean Range'
CLOSE = 'Close'
HIGHLOW = 'High/Low'
SOLID = '⎯⎯⎯'
DASHED = '----'
DOTTED = '····'
SMART_GROUP = 'Smart Money Concepts'
INTERNAL_GROUP = 'Real Time Internal Structure'
SWING_GROUP = 'Real Time Swing Structure'
BLOCKS_GROUP = 'Order Blocks'
EQUAL_GROUP = 'EQH/EQL'
GAPS_GROUP = 'Fair Value Gaps'
LEVELS_GROUP = 'Highs & Lows MTF'
ZONES_GROUP = 'Premium & Discount Zones'
modeTooltip = 'Allows to display historical Structure or only the recent ones'
styleTooltip = 'Indicator color theme'
showTrendTooltip = 'Display additional candles with a color reflecting the current trend detected by structure'
showInternalsTooltip = 'Display internal market structure'
internalFilterConfluenceTooltip = 'Filter non significant internal structure breakouts'
showStructureTooltip = 'Display swing market Structure'
showSwingsTooltip = 'Display swing point as labels on the chart'
showHighLowSwingsTooltip = 'Highlight most recent strong and weak high/low points on the chart'
showInternalOrderBlocksTooltip = 'Display internal order blocks on the chart\n\nNumber of internal order blocks to display on the chart'
showSwingOrderBlocksTooltip = 'Display swing order blocks on the chart\n\nNumber of internal swing blocks to display on the chart'
orderBlockFilterTooltip = 'Method used to filter out volatile order blocks \n\nIt is recommended to use the cumulative mean range method when a low amount of data is available'
orderBlockMitigationTooltip = 'Select what values to use for order block mitigation'
showEqualHighsLowsTooltip = 'Display equal highs and equal lows on the chart'
equalHighsLowsLengthTooltip = 'Number of bars used to confirm equal highs and equal lows'
equalHighsLowsThresholdTooltip = 'Sensitivity threshold in a range (0, 1) used for the detection of equal highs & lows\n\nLower values will return fewer but more pertinent results'
showFairValueGapsTooltip = 'Display fair values gaps on the chart'
fairValueGapsThresholdTooltip = 'Filter out non significant fair value gaps'
fairValueGapsTimeframeTooltip = 'Fair value gaps timeframe'
fairValueGapsExtendTooltip = 'Determine how many bars to extend the Fair Value Gap boxes on chart'
showPremiumDiscountZonesTooltip = 'Display premium, discount, and equilibrium zones on chart'
modeInput = input.string( HISTORICAL, 'Mode', group = SMART_GROUP, tooltip = modeTooltip, options = )
styleInput = input.string( COLORED, 'Style', group = SMART_GROUP, tooltip = styleTooltip,options = )
showTrendInput = input( false, 'Color Candles', group = SMART_GROUP, tooltip = showTrendTooltip)
showInternalsInput = input( false, 'Show Internal Structure', group = INTERNAL_GROUP, tooltip = showInternalsTooltip)
showInternalBullInput = input.string( ALL, 'Bullish Structure', group = INTERNAL_GROUP, inline = 'ibull', options = )
internalBullColorInput = input( GREEN, '', group = INTERNAL_GROUP, inline = 'ibull')
showInternalBearInput = input.string( ALL, 'Bearish Structure' , group = INTERNAL_GROUP, inline = 'ibear', options = )
internalBearColorInput = input( RED, '', group = INTERNAL_GROUP, inline = 'ibear')
internalFilterConfluenceInput = input( false, 'Confluence Filter', group = INTERNAL_GROUP, tooltip = internalFilterConfluenceTooltip)
internalStructureSize = input.string( TINY, 'Internal Label Size', group = INTERNAL_GROUP, options = )
showStructureInput = input( false, 'Show Swing Structure', group = SWING_GROUP, tooltip = showStructureTooltip)
showSwingBullInput = input.string( ALL, 'Bullish Structure', group = SWING_GROUP, inline = 'bull', options = )
swingBullColorInput = input( GREEN, '', group = SWING_GROUP, inline = 'bull')
showSwingBearInput = input.string( ALL, 'Bearish Structure', group = SWING_GROUP, inline = 'bear', options = )
swingBearColorInput = input( RED, '', group = SWING_GROUP, inline = 'bear')
swingStructureSize = input.string( SMALL, 'Swing Label Size', group = SWING_GROUP, options = )
showSwingsInput = input( false, 'Show Swings Points', group = SWING_GROUP, tooltip = showSwingsTooltip,inline = 'swings')
swingsLengthInput = input.int( 50, '', group = SWING_GROUP, minval = 10, inline = 'swings')
showHighLowSwingsInput = input( false, 'Show Strong/Weak High/Low',group = SWING_GROUP, tooltip = showHighLowSwingsTooltip)
showInternalOrderBlocksInput = input( true, 'Internal Order Blocks' , group = BLOCKS_GROUP, tooltip = showInternalOrderBlocksTooltip, inline = 'iob')
internalOrderBlocksSizeInput = input.int( 5, '', group = BLOCKS_GROUP, minval = 1, maxval = 20, inline = 'iob')
showSwingOrderBlocksInput = input( true, 'Swing Order Blocks', group = BLOCKS_GROUP, tooltip = showSwingOrderBlocksTooltip, inline = 'ob')
swingOrderBlocksSizeInput = input.int( 5, '', group = BLOCKS_GROUP, minval = 1, maxval = 20, inline = 'ob')
orderBlockFilterInput = input.string( 'Atr', 'Order Block Filter', group = BLOCKS_GROUP, tooltip = orderBlockFilterTooltip, options = )
orderBlockMitigationInput = input.string( HIGHLOW, 'Order Block Mitigation', group = BLOCKS_GROUP, tooltip = orderBlockMitigationTooltip, options = )
internalBullishOrderBlockColor = input.color(color.new(GREEN, 80), 'Internal Bullish OB', group = BLOCKS_GROUP)
internalBearishOrderBlockColor = input.color(color.new(#f77c80, 80), 'Internal Bearish OB', group = BLOCKS_GROUP)
swingBullishOrderBlockColor = input.color(color.new(GREEN, 80), 'Bullish OB', group = BLOCKS_GROUP)
swingBearishOrderBlockColor = input.color(color.new(#b22833, 80), 'Bearish OB', group = BLOCKS_GROUP)
showEqualHighsLowsInput = input( false, 'Equal High/Low', group = EQUAL_GROUP, tooltip = showEqualHighsLowsTooltip)
equalHighsLowsLengthInput = input.int( 3, 'Bars Confirmation', group = EQUAL_GROUP, tooltip = equalHighsLowsLengthTooltip, minval = 1)
equalHighsLowsThresholdInput = input.float( 0.1, 'Threshold', group = EQUAL_GROUP, tooltip = equalHighsLowsThresholdTooltip, minval = 0, maxval = 0.5, step = 0.1)
equalHighsLowsSizeInput = input.string( TINY, 'Label Size', group = EQUAL_GROUP, options = )
showFairValueGapsInput = input( false, 'Fair Value Gaps', group = GAPS_GROUP, tooltip = showFairValueGapsTooltip)
fairValueGapsThresholdInput = input( true, 'Auto Threshold', group = GAPS_GROUP, tooltip = fairValueGapsThresholdTooltip)
fairValueGapsTimeframeInput = input.timeframe('', 'Timeframe', group = GAPS_GROUP, tooltip = fairValueGapsTimeframeTooltip)
fairValueGapsBullColorInput = input.color(color.new(#00ff68, 70), 'Bullish FVG' , group = GAPS_GROUP)
fairValueGapsBearColorInput = input.color(color.new(#ff0008, 70), 'Bearish FVG' , group = GAPS_GROUP)
fairValueGapsExtendInput = input.int( 1, 'Extend FVG', group = GAPS_GROUP, tooltip = fairValueGapsExtendTooltip, minval = 0)
showDailyLevelsInput = input( false, 'Daily', group = LEVELS_GROUP, inline = 'daily')
dailyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'daily', options = )
dailyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'daily')
showWeeklyLevelsInput = input( false, 'Weekly', group = LEVELS_GROUP, inline = 'weekly')
weeklyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'weekly', options = )
weeklyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'weekly')
showMonthlyLevelsInput = input( false, 'Monthly', group = LEVELS_GROUP, inline = 'monthly')
monthlyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'monthly', options = )
monthlyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'monthly')
showPremiumDiscountZonesInput = input( false, 'Premium/Discount Zones', group = ZONES_GROUP , tooltip = showPremiumDiscountZonesTooltip)
premiumZoneColorInput = input.color( RED, 'Premium Zone', group = ZONES_GROUP)
equilibriumZoneColorInput = input.color( GRAY, 'Equilibrium Zone', group = ZONES_GROUP)
discountZoneColorInput = input.color( GREEN, 'Discount Zone', group = ZONES_GROUP)
type alerts
bool internalBullishBOS = false
bool internalBearishBOS = false
bool internalBullishCHoCH = false
bool internalBearishCHoCH = false
bool swingBullishBOS = false
bool swingBearishBOS = false
bool swingBullishCHoCH = false
bool swingBearishCHoCH = false
bool internalBullishOrderBlock = false
bool internalBearishOrderBlock = false
bool swingBullishOrderBlock = false
bool swingBearishOrderBlock = false
bool equalHighs = false
bool equalLows = false
bool bullishFairValueGap = false
bool bearishFairValueGap = false
type trailingExtremes
float top
float bottom
int barTime
int barIndex
int lastTopTime
int lastBottomTime
type fairValueGap
float top
float bottom
int bias
box topBox
box bottomBox
type trend
int bias
type equalDisplay
line l_ine = na
label l_abel = na
type pivot
float currentLevel
float lastLevel
bool crossed
int barTime = time
int barIndex = bar_index
type orderBlock
float barHigh
float barLow
int barTime
int bias
// @variable current swing pivot high
var pivot swingHigh = pivot.new(na,na,false)
// @variable current swing pivot low
var pivot swingLow = pivot.new(na,na,false)
// @variable current internal pivot high
var pivot internalHigh = pivot.new(na,na,false)
// @variable current internal pivot low
var pivot internalLow = pivot.new(na,na,false)
// @variable current equal high pivot
var pivot equalHigh = pivot.new(na,na,false)
// @variable current equal low pivot
var pivot equalLow = pivot.new(na,na,false)
// @variable swing trend bias
var trend swingTrend = trend.new(0)
// @variable internal trend bias
var trend internalTrend = trend.new(0)
// @variable equal high display
var equalDisplay equalHighDisplay = equalDisplay.new()
// @variable equal low display
var equalDisplay equalLowDisplay = equalDisplay.new()
// @variable storage for fairValueGap UDTs
var array fairValueGaps = array.new()
// @variable storage for parsed highs
var array parsedHighs = array.new()
// @variable storage for parsed lows
var array parsedLows = array.new()
// @variable storage for raw highs
var array highs = array.new()
// @variable storage for raw lows
var array lows = array.new()
// @variable storage for bar time values
var array times = array.new()
// @variable last trailing swing high and low
var trailingExtremes trailing = trailingExtremes.new()
// @variable storage for orderBlock UDTs (swing order blocks)
var array swingOrderBlocks = array.new()
// @variable storage for orderBlock UDTs (internal order blocks)
var array internalOrderBlocks = array.new()
// @variable storage for swing order blocks boxes
var array swingOrderBlocksBoxes = array.new()
// @variable storage for internal order blocks boxes
var array internalOrderBlocksBoxes = array.new()
// @variable color for swing bullish structures
var swingBullishColor = styleInput == MONOCHROME ? MONO_BULLISH : swingBullColorInput
// @variable color for swing bearish structures
var swingBearishColor = styleInput == MONOCHROME ? MONO_BEARISH : swingBearColorInput
// @variable color for bullish fair value gaps
var fairValueGapBullishColor = styleInput == MONOCHROME ? color.new(MONO_BULLISH,70) : fairValueGapsBullColorInput
// @variable color for bearish fair value gaps
var fairValueGapBearishColor = styleInput == MONOCHROME ? color.new(MONO_BEARISH,70) : fairValueGapsBearColorInput
// @variable color for premium zone
var premiumZoneColor = styleInput == MONOCHROME ? MONO_BEARISH : premiumZoneColorInput
// @variable color for discount zone
var discountZoneColor = styleInput == MONOCHROME ? MONO_BULLISH : discountZoneColorInput
// @variable bar index on current script iteration
varip int currentBarIndex = bar_index
// @variable bar index on last script iteration
varip int lastBarIndex = bar_index
// @variable alerts in current bar
alerts currentAlerts = alerts.new()
// @variable time at start of chart
var initialTime = time
// we create the needed boxes for displaying order blocks at the first execution
if barstate.isfirst
if showSwingOrderBlocksInput
for index = 1 to swingOrderBlocksSizeInput
swingOrderBlocksBoxes.push(box.new(na,na,na,na,xloc = xloc.bar_time,extend = extend.right))
if showInternalOrderBlocksInput
for index = 1 to internalOrderBlocksSizeInput
internalOrderBlocksBoxes.push(box.new(na,na,na,na,xloc = xloc.bar_time,extend = extend.right))
// @variable source to use in bearish order blocks mitigation
bearishOrderBlockMitigationSource = orderBlockMitigationInput == CLOSE ? close : high
// @variable source to use in bullish order blocks mitigation
bullishOrderBlockMitigationSource = orderBlockMitigationInput == CLOSE ? close : low
// @variable default volatility measure
atrMeasure = ta.atr(200)
// @variable parsed volatility measure by user settings
volatilityMeasure = orderBlockFilterInput == ATR ? atrMeasure : ta.cum(ta.tr)/bar_index
// @variable true if current bar is a high volatility bar
highVolatilityBar = (high - low) >= (2 * volatilityMeasure)
// @variable parsed high
parsedHigh = highVolatilityBar ? low : high
// @variable parsed low
parsedLow = highVolatilityBar ? high : low
// we store current values into the arrays at each bar
parsedHighs.push(parsedHigh)
parsedLows.push(parsedLow)
highs.push(high)
lows.push(low)
times.push(time)
leg(int size) =>
var leg = 0
newLegHigh = high > ta.highest( size)
newLegLow = low < ta.lowest( size)
if newLegHigh
leg := BEARISH_LEG
else if newLegLow
leg := BULLISH_LEG
leg
startOfNewLeg(int leg) => ta.change(leg) != 0
startOfBearishLeg(int leg) => ta.change(leg) == -1
startOfBullishLeg(int leg) => ta.change(leg) == +1
drawLabel(int labelTime, float labelPrice, string tag, color labelColor, string labelStyle) =>
var label l_abel = na
if modeInput == PRESENT
l_abel.delete()
l_abel := label.new(chart.point.new(labelTime,na,labelPrice),tag,xloc.bar_time,color=color(na),textcolor=labelColor,style = labelStyle,size = size.small)
drawEqualHighLow(pivot p_ivot, float level, int size, bool equalHigh) =>
equalDisplay e_qualDisplay = equalHigh ? equalHighDisplay : equalLowDisplay
string tag = 'EQL'
color equalColor = swingBullishColor
string labelStyle = label.style_label_up
if equalHigh
tag := 'EQH'
equalColor := swingBearishColor
labelStyle := label.style_label_down
if modeInput == PRESENT
line.delete( e_qualDisplay.l_ine)
label.delete( e_qualDisplay.l_abel)
e_qualDisplay.l_ine := line.new(chart.point.new(p_ivot.barTime,na,p_ivot.currentLevel), chart.point.new(time ,na,level), xloc = xloc.bar_time, color = equalColor, style = line.style_dotted)
labelPosition = math.round(0.5*(p_ivot.barIndex + bar_index - size))
e_qualDisplay.l_abel := label.new(chart.point.new(na,labelPosition,level), tag, xloc.bar_index, color = color(na), textcolor = equalColor, style = labelStyle, size = equalHighsLowsSizeInput)
getCurrentStructure(int size,bool equalHighLow = false, bool internal = false) =>
currentLeg = leg(size)
newPivot = startOfNewLeg(currentLeg)
pivotLow = startOfBullishLeg(currentLeg)
pivotHigh = startOfBearishLeg(currentLeg)
if newPivot
if pivotLow
pivot p_ivot = equalHighLow ? equalLow : internal ? internalLow : swingLow
if equalHighLow and math.abs(p_ivot.currentLevel - low ) < equalHighsLowsThresholdInput * atrMeasure
drawEqualHighLow(p_ivot, low , size, false)
p_ivot.lastLevel := p_ivot.currentLevel
p_ivot.currentLevel := low
p_ivot.crossed := false
p_ivot.barTime := time
p_ivot.barIndex := bar_index
if not equalHighLow and not internal
trailing.bottom := p_ivot.currentLevel
trailing.barTime := p_ivot.barTime
trailing.barIndex := p_ivot.barIndex
trailing.lastBottomTime := p_ivot.barTime
if showSwingsInput and not internal and not equalHighLow
drawLabel(time , p_ivot.currentLevel, p_ivot.currentLevel < p_ivot.lastLevel ? 'LL' : 'HL', swingBullishColor, label.style_label_up)
else
pivot p_ivot = equalHighLow ? equalHigh : internal ? internalHigh : swingHigh
if equalHighLow and math.abs(p_ivot.currentLevel - high ) < equalHighsLowsThresholdInput * atrMeasure
drawEqualHighLow(p_ivot,high ,size,true)
p_ivot.lastLevel := p_ivot.currentLevel
p_ivot.currentLevel := high
p_ivot.crossed := false
p_ivot.barTime := time
p_ivot.barIndex := bar_index
if not equalHighLow and not internal
trailing.top := p_ivot.currentLevel
trailing.barTime := p_ivot.barTime
trailing.barIndex := p_ivot.barIndex
trailing.lastTopTime := p_ivot.barTime
if showSwingsInput and not internal and not equalHighLow
drawLabel(time , p_ivot.currentLevel, p_ivot.currentLevel > p_ivot.lastLevel ? 'HH' : 'LH', swingBearishColor, label.style_label_down)
drawStructure(pivot p_ivot, string tag, color structureColor, string lineStyle, string labelStyle, string labelSize) =>
var line l_ine = line.new(na,na,na,na,xloc = xloc.bar_time)
var label l_abel = label.new(na,na)
if modeInput == PRESENT
l_ine.delete()
l_abel.delete()
l_ine := line.new(chart.point.new(p_ivot.barTime,na,p_ivot.currentLevel), chart.point.new(time,na,p_ivot.currentLevel), xloc.bar_time, color=structureColor, style=lineStyle)
l_abel := label.new(chart.point.new(na,math.round(0.5*(p_ivot.barIndex+bar_index)),p_ivot.currentLevel), tag, xloc.bar_index, color=color(na), textcolor=structureColor, style=labelStyle, size = labelSize)
deleteOrderBlocks(bool internal = false) =>
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
for in orderBlocks
bool crossedOderBlock = false
if bearishOrderBlockMitigationSource > eachOrderBlock.barHigh and eachOrderBlock.bias == BEARISH
crossedOderBlock := true
if internal
currentAlerts.internalBearishOrderBlock := true
else
currentAlerts.swingBearishOrderBlock := true
else if bullishOrderBlockMitigationSource < eachOrderBlock.barLow and eachOrderBlock.bias == BULLISH
crossedOderBlock := true
if internal
currentAlerts.internalBullishOrderBlock := true
else
currentAlerts.swingBullishOrderBlock := true
if crossedOderBlock
orderBlocks.remove(index)
storeOrdeBlock(pivot p_ivot,bool internal = false,int bias) =>
if (not internal and showSwingOrderBlocksInput) or (internal and showInternalOrderBlocksInput)
array a_rray = na
int parsedIndex = na
if bias == BEARISH
a_rray := parsedHighs.slice(p_ivot.barIndex,bar_index)
parsedIndex := p_ivot.barIndex + a_rray.indexof(a_rray.max())
else
a_rray := parsedLows.slice(p_ivot.barIndex,bar_index)
parsedIndex := p_ivot.barIndex + a_rray.indexof(a_rray.min())
orderBlock o_rderBlock = orderBlock.new(parsedHighs.get(parsedIndex), parsedLows.get(parsedIndex), times.get(parsedIndex),bias)
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
if orderBlocks.size() >= 100
orderBlocks.pop()
orderBlocks.unshift(o_rderBlock)
drawOrderBlocks(bool internal = false) =>
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
orderBlocksSize = orderBlocks.size()
if orderBlocksSize > 0
maxOrderBlocks = internal ? internalOrderBlocksSizeInput : swingOrderBlocksSizeInput
array parsedOrdeBlocks = orderBlocks.slice(0, math.min(maxOrderBlocks,orderBlocksSize))
array b_oxes = internal ? internalOrderBlocksBoxes : swingOrderBlocksBoxes
for in parsedOrdeBlocks
orderBlockColor = styleInput == MONOCHROME ? (eachOrderBlock.bias == BEARISH ? color.new(MONO_BEARISH,80) : color.new(MONO_BULLISH,80)) : internal ? (eachOrderBlock.bias == BEARISH ? internalBearishOrderBlockColor : internalBullishOrderBlockColor) : (eachOrderBlock.bias == BEARISH ? swingBearishOrderBlockColor : swingBullishOrderBlockColor)
box b_ox = b_oxes.get(index)
b_ox.set_top_left_point( chart.point.new(eachOrderBlock.barTime,na,eachOrderBlock.barHigh))
b_ox.set_bottom_right_point(chart.point.new(last_bar_time,na,eachOrderBlock.barLow))
b_ox.set_border_color( internal ? na : orderBlockColor)
b_ox.set_bgcolor( orderBlockColor)
displayStructure(bool internal = false) =>
var bullishBar = true
var bearishBar = true
if internalFilterConfluenceInput
bullishBar := high - math.max(close, open) > math.min(close, open - low)
bearishBar := high - math.max(close, open) < math.min(close, open - low)
pivot p_ivot = internal ? internalHigh : swingHigh
trend t_rend = internal ? internalTrend : swingTrend
lineStyle = internal ? line.style_dashed : line.style_solid
labelSize = internal ? internalStructureSize : swingStructureSize
extraCondition = internal ? internalHigh.currentLevel != swingHigh.currentLevel and bullishBar : true
bullishColor = styleInput == MONOCHROME ? MONO_BULLISH : internal ? internalBullColorInput : swingBullColorInput
if ta.crossover(close,p_ivot.currentLevel) and not p_ivot.crossed and extraCondition
string tag = t_rend.bias == BEARISH ? CHOCH : BOS
if internal
currentAlerts.internalBullishCHoCH := tag == CHOCH
currentAlerts.internalBullishBOS := tag == BOS
else
currentAlerts.swingBullishCHoCH := tag == CHOCH
currentAlerts.swingBullishBOS := tag == BOS
p_ivot.crossed := true
t_rend.bias := BULLISH
displayCondition = internal ? showInternalsInput and (showInternalBullInput == ALL or (showInternalBullInput == BOS and tag != CHOCH) or (showInternalBullInput == CHOCH and tag == CHOCH)) : showStructureInput and (showSwingBullInput == ALL or (showSwingBullInput == BOS and tag != CHOCH) or (showSwingBullInput == CHOCH and tag == CHOCH))
if displayCondition
drawStructure(p_ivot,tag,bullishColor,lineStyle,label.style_label_down,labelSize)
if (internal and showInternalOrderBlocksInput) or (not internal and showSwingOrderBlocksInput)
storeOrdeBlock(p_ivot,internal,BULLISH)
p_ivot := internal ? internalLow : swingLow
extraCondition := internal ? internalLow.currentLevel != swingLow.currentLevel and bearishBar : true
bearishColor = styleInput == MONOCHROME ? MONO_BEARISH : internal ? internalBearColorInput : swingBearColorInput
if ta.crossunder(close,p_ivot.currentLevel) and not p_ivot.crossed and extraCondition
string tag = t_rend.bias == BULLISH ? CHOCH : BOS
if internal
currentAlerts.internalBearishCHoCH := tag == CHOCH
currentAlerts.internalBearishBOS := tag == BOS
else
currentAlerts.swingBearishCHoCH := tag == CHOCH
currentAlerts.swingBearishBOS := tag == BOS
p_ivot.crossed := true
t_rend.bias := BEARISH
displayCondition = internal ? showInternalsInput and (showInternalBearInput == ALL or (showInternalBearInput == BOS and tag != CHOCH) or (showInternalBearInput == CHOCH and tag == CHOCH)) : showStructureInput and (showSwingBearInput == ALL or (showSwingBearInput == BOS and tag != CHOCH) or (showSwingBearInput == CHOCH and tag == CHOCH))
if displayCondition
drawStructure(p_ivot,tag,bearishColor,lineStyle,label.style_label_up,labelSize)
if (internal and showInternalOrderBlocksInput) or (not internal and showSwingOrderBlocksInput)
storeOrdeBlock(p_ivot,internal,BEARISH)
fairValueGapBox(leftTime,rightTime,topPrice,bottomPrice,boxColor) => box.new(chart.point.new(leftTime,na,topPrice),chart.point.new(rightTime + fairValueGapsExtendInput * (time-time ),na,bottomPrice), xloc=xloc.bar_time, border_color = boxColor, bgcolor = boxColor)
deleteFairValueGaps() =>
for in fairValueGaps
if (low < eachFairValueGap.bottom and eachFairValueGap.bias == BULLISH) or (high > eachFairValueGap.top and eachFairValueGap.bias == BEARISH)
eachFairValueGap.topBox.delete()
eachFairValueGap.bottomBox.delete()
fairValueGaps.remove(index)
// @function draw fair value gaps
// @returns fairValueGap ID
drawFairValueGaps() =>
= request.security(syminfo.tickerid, fairValueGapsTimeframeInput, [close , open , time , high , low , time , high , low ],lookahead = barmerge.lookahead_on)
barDeltaPercent = (lastClose - lastOpen) / (lastOpen * 100)
newTimeframe = timeframe.change(fairValueGapsTimeframeInput)
threshold = fairValueGapsThresholdInput ? ta.cum(math.abs(newTimeframe ? barDeltaPercent : 0)) / bar_index * 2 : 0
bullishFairValueGap = currentLow > last2High and lastClose > last2High and barDeltaPercent > threshold and newTimeframe
bearishFairValueGap = currentHigh < last2Low and lastClose < last2Low and -barDeltaPercent > threshold and newTimeframe
if bullishFairValueGap
currentAlerts.bullishFairValueGap := true
fairValueGaps.unshift(fairValueGap.new(currentLow,last2High,BULLISH,fairValueGapBox(lastTime,currentTime,currentLow,math.avg(currentLow,last2High),fairValueGapBullishColor),fairValueGapBox(lastTime,currentTime,math.avg(currentLow,last2High),last2High,fairValueGapBullishColor)))
if bearishFairValueGap
currentAlerts.bearishFairValueGap := true
fairValueGaps.unshift(fairValueGap.new(currentHigh,last2Low,BEARISH,fairValueGapBox(lastTime,currentTime,currentHigh,math.avg(currentHigh,last2Low),fairValueGapBearishColor),fairValueGapBox(lastTime,currentTime,math.avg(currentHigh,last2Low),last2Low,fairValueGapBearishColor)))
getStyle(string style) =>
switch style
SOLID => line.style_solid
DASHED => line.style_dashed
DOTTED => line.style_dotted
drawLevels(string timeframe, bool sameTimeframe, string style, color levelColor) =>
= request.security(syminfo.tickerid, timeframe, [high , low , time , time],lookahead = barmerge.lookahead_on)
float parsedTop = sameTimeframe ? high : topLevel
float parsedBottom = sameTimeframe ? low : bottomLevel
int parsedLeftTime = sameTimeframe ? time : leftTime
int parsedRightTime = sameTimeframe ? time : rightTime
int parsedTopTime = time
int parsedBottomTime = time
if not sameTimeframe
int leftIndex = times.binary_search_rightmost(parsedLeftTime)
int rightIndex = times.binary_search_rightmost(parsedRightTime)
array timeArray = times.slice(leftIndex,rightIndex)
array topArray = highs.slice(leftIndex,rightIndex)
array bottomArray = lows.slice(leftIndex,rightIndex)
parsedTopTime := timeArray.size() > 0 ? timeArray.get(topArray.indexof(topArray.max())) : initialTime
parsedBottomTime := timeArray.size() > 0 ? timeArray.get(bottomArray.indexof(bottomArray.min())) : initialTime
var line topLine = line.new(na, na, na, na, xloc = xloc.bar_time, color = levelColor, style = getStyle(style))
var line bottomLine = line.new(na, na, na, na, xloc = xloc.bar_time, color = levelColor, style = getStyle(style))
var label topLabel = label.new(na, na, xloc = xloc.bar_time, text = str.format('P{0}H',timeframe), color=color(na), textcolor = levelColor, size = size.small, style = label.style_label_left)
var label bottomLabel = label.new(na, na, xloc = xloc.bar_time, text = str.format('P{0}L',timeframe), color=color(na), textcolor = levelColor, size = size.small, style = label.style_label_left)
topLine.set_first_point( chart.point.new(parsedTopTime,na,parsedTop))
topLine.set_second_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedTop))
topLabel.set_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedTop))
bottomLine.set_first_point( chart.point.new(parsedBottomTime,na,parsedBottom))
bottomLine.set_second_point(chart.point.new(last_bar_time + 20 * (time-time ),na,parsedBottom))
bottomLabel.set_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedBottom))
higherTimeframe(string timeframe) => timeframe.in_seconds() > timeframe.in_seconds(timeframe)
updateTrailingExtremes() =>
trailing.top := math.max(high,trailing.top)
trailing.lastTopTime := trailing.top == high ? time : trailing.lastTopTime
trailing.bottom := math.min(low,trailing.bottom)
trailing.lastBottomTime := trailing.bottom == low ? time : trailing.lastBottomTime
drawHighLowSwings() =>
var line topLine = line.new(na, na, na, na, color = swingBearishColor, xloc = xloc.bar_time)
var line bottomLine = line.new(na, na, na, na, color = swingBullishColor, xloc = xloc.bar_time)
var label topLabel = label.new(na, na, color=color(na), textcolor = swingBearishColor, xloc = xloc.bar_time, style = label.style_label_down, size = size.tiny)
var label bottomLabel = label.new(na, na, color=color(na), textcolor = swingBullishColor, xloc = xloc.bar_time, style = label.style_label_up, size = size.tiny)
rightTimeBar = last_bar_time + 20 * (time - time )
topLine.set_first_point( chart.point.new(trailing.lastTopTime, na, trailing.top))
topLine.set_second_point( chart.point.new(rightTimeBar, na, trailing.top))
topLabel.set_point( chart.point.new(rightTimeBar, na, trailing.top))
topLabel.set_text( swingTrend.bias == BEARISH ? 'Strong High' : 'Weak High')
bottomLine.set_first_point( chart.point.new(trailing.lastBottomTime, na, trailing.bottom))
bottomLine.set_second_point(chart.point.new(rightTimeBar, na, trailing.bottom))
bottomLabel.set_point( chart.point.new(rightTimeBar, na, trailing.bottom))
bottomLabel.set_text( swingTrend.bias == BULLISH ? 'Strong Low' : 'Weak Low')
drawZone(float labelLevel, int labelIndex, float top, float bottom, string tag, color zoneColor, string style) =>
var label l_abel = label.new(na,na,text = tag, color=color(na),textcolor = zoneColor, style = style, size = size.small)
var box b_ox = box.new(na,na,na,na,bgcolor = color.new(zoneColor,80),border_color = color(na), xloc = xloc.bar_time)
b_ox.set_top_left_point( chart.point.new(trailing.barTime,na,top))
b_ox.set_bottom_right_point(chart.point.new(last_bar_time,na,bottom))
l_abel.set_point( chart.point.new(na,labelIndex,labelLevel))
// @function draw premium/discount zones
// @returns void
drawPremiumDiscountZones() =>
drawZone(trailing.top, math.round(0.5*(trailing.barIndex + last_bar_index)), trailing.top, 0.95*trailing.top + 0.05*trailing.bottom, 'Premium', premiumZoneColor, label.style_label_down)
equilibriumLevel = math.avg(trailing.top, trailing.bottom)
drawZone(equilibriumLevel, last_bar_index, 0.525*trailing.top + 0.475*trailing.bottom, 0.525*trailing.bottom + 0.475*trailing.top, 'Equilibrium', equilibriumZoneColorInput, label.style_label_left)
drawZone(trailing.bottom, math.round(0.5*(trailing.barIndex + last_bar_index)), 0.95*trailing.bottom + 0.05*trailing.top, trailing.bottom, 'Discount', discountZoneColor, label.style_label_up)
parsedOpen = showTrendInput ? open : na
candleColor = internalTrend.bias == BULLISH ? swingBullishColor : swingBearishColor
plotcandle(parsedOpen,high,low,close,color = candleColor, wickcolor = candleColor, bordercolor = candleColor)
if showHighLowSwingsInput or showPremiumDiscountZonesInput
updateTrailingExtremes()
if showHighLowSwingsInput
drawHighLowSwings()
if showPremiumDiscountZonesInput
drawPremiumDiscountZones()
if showFairValueGapsInput
deleteFairValueGaps()
getCurrentStructure(swingsLengthInput,false)
getCurrentStructure(5,false,true)
if showEqualHighsLowsInput
getCurrentStructure(equalHighsLowsLengthInput,true)
if showInternalsInput or showInternalOrderBlocksInput or showTrendInput
displayStructure(true)
if showStructureInput or showSwingOrderBlocksInput or showHighLowSwingsInput
displayStructure()
if showInternalOrderBlocksInput
deleteOrderBlocks(true)
if showSwingOrderBlocksInput
deleteOrderBlocks()
if showFairValueGapsInput
drawFairValueGaps()
if barstate.islastconfirmedhistory or barstate.islast
if showInternalOrderBlocksInput
drawOrderBlocks(true)
if showSwingOrderBlocksInput
drawOrderBlocks()
lastBarIndex := currentBarIndex
currentBarIndex := bar_index
newBar = currentBarIndex != lastBarIndex
if barstate.islastconfirmedhistory or (barstate.isrealtime and newBar)
if showDailyLevelsInput and not higherTimeframe('D')
drawLevels('D',timeframe.isdaily,dailyLevelsStyleInput,dailyLevelsColorInput)
if showWeeklyLevelsInput and not higherTimeframe('W')
drawLevels('W',timeframe.isweekly,weeklyLevelsStyleInput,weeklyLevelsColorInput)
if showMonthlyLevelsInput and not higherTimeframe('M')
drawLevels('M',timeframe.ismonthly,monthlyLevelsStyleInput,monthlyLevelsColorInput)
xATR = ta.atr(c)
nLoss = a * xATR
src = h ? request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, close, lookahead = barmerge.lookahead_off) : close
xATRTrailingStop = 0.0
iff_1 = src > nz(xATRTrailingStop , 0) ? src - nLoss : src + nLoss
iff_2 = src < nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? math.min(nz(xATRTrailingStop ), src + nLoss) : iff_1
xATRTrailingStop := src > nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? math.max(nz(xATRTrailingStop ), src - nLoss) : iff_2
pos = 0
iff_3 = src > nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? -1 : nz(pos , 0)
pos := src < nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? 1 : iff_3
xcolor = pos == -1 ? color.red : pos == 1 ? color.green : color.blue
ema = ta.ema(src, 1)
above = ta.crossover(ema, xATRTrailingStop)
below = ta.crossover(xATRTrailingStop, ema)
buy = src > xATRTrailingStop and above
sell = src < xATRTrailingStop and below
barbuy = src > xATRTrailingStop
barsell = src < xATRTrailingStop
//---------------------------------------------------------------------------------------------------------------------}
//ALERTS
//---------------------------------------------------------------------------------------------------------------------{
alertcondition(currentAlerts.internalBullishBOS, 'Internal Bullish BOS', 'Internal Bullish BOS formed')
alertcondition(currentAlerts.internalBullishCHoCH, 'Internal Bullish CHoCH', 'Internal Bullish CHoCH formed')
alertcondition(currentAlerts.internalBearishBOS, 'Internal Bearish BOS', 'Internal Bearish BOS formed')
alertcondition(currentAlerts.internalBearishCHoCH, 'Internal Bearish CHoCH', 'Internal Bearish CHoCH formed')
alertcondition(currentAlerts.swingBullishBOS, 'Bullish BOS', 'Internal Bullish BOS formed')
alertcondition(currentAlerts.swingBullishCHoCH, 'Bullish CHoCH', 'Internal Bullish CHoCH formed')
alertcondition(currentAlerts.swingBearishBOS, 'Bearish BOS', 'Bearish BOS formed')
alertcondition(currentAlerts.swingBearishCHoCH, 'Bearish CHoCH', 'Bearish CHoCH formed')
alertcondition(currentAlerts.internalBullishOrderBlock, 'Bullish Internal OB Breakout', 'Price broke bullish internal OB')
alertcondition(currentAlerts.internalBearishOrderBlock, 'Bearish Internal OB Breakout', 'Price broke bearish internal OB')
alertcondition(currentAlerts.swingBullishOrderBlock, 'Bullish Swing OB Breakout', 'Price broke bullish swing OB')
alertcondition(currentAlerts.swingBearishOrderBlock, 'Bearish Swing OB Breakout', 'Price broke bearish swing OB')
alertcondition(currentAlerts.equalHighs, 'Equal Highs', 'Equal highs detected')
alertcondition(currentAlerts.equalLows, 'Equal Lows', 'Equal lows detected')
alertcondition(currentAlerts.bullishFairValueGap, 'Bullish FVG', 'Bullish FVG formed')
alertcondition(currentAlerts.bearishFairValueGap, 'Bearish FVG', 'Bearish FVG formed')
alertcondition(buy, 'UT Long', 'UT Long')
alertcondition(sell, 'UT Short', 'UT Short')
plotshape(buy, title = 'Buy', text = 'Buy', style = shape.labelup, location = location.belowbar, color = color.new(color.green, 0), textcolor = color.new(color.white, 0), size = size.tiny)
plotshape(sell, title = 'Sell', text = 'Sell', style = shape.labeldown, location = location.abovebar, color = color.new(color.red, 0), textcolor = color.new(color.white, 0), size = size.tiny)
//--------------------------------------------------------------------------------------
// EMA ADDITIONS (Editable)
//--------------------------------------------------------------------------------------
ema5Len = input.int(5, "5 EMA Length", minval = 1)
ema9Len = input.int(9, "9 EMA Length", minval = 1)
ema5 = ta.ema(src, ema5Len)
ema9 = ta.ema(src, ema9Len)
plot(ema5, "EMA 5", color = color.red, linewidth = 2)
plot(ema9, "EMA 9", color = color.blue, linewidth = 2)
barcolor(barbuy ? color.green : na)
barcolor(barsell ? color.red : na)
Naveen Prabhu with EMA//@version=6
indicator('Naveen Prabhu with EMA', overlay = true, max_labels_count = 500, max_lines_count = 500, max_boxes_count = 500)
a = input(2, title = 'Key Vaule. \'This changes the sensitivity\'')
c = input(5, title = 'ATR Period')
h = input(false, title = 'Signals from Heikin Ashi Candles')
BULLISH_LEG = 1
BEARISH_LEG = 0
BULLISH = +1
BEARISH = -1
GREEN = #089981
RED = #F23645
BLUE = #2157f3
GRAY = #878b94
MONO_BULLISH = #b2b5be
MONO_BEARISH = #5d606b
HISTORICAL = 'Historical'
PRESENT = 'Present'
COLORED = 'Colored'
MONOCHROME = 'Monochrome'
ALL = 'All'
BOS = 'BOS'
CHOCH = 'CHoCH'
TINY = size.tiny
SMALL = size.small
NORMAL = size.normal
ATR = 'Atr'
RANGE = 'Cumulative Mean Range'
CLOSE = 'Close'
HIGHLOW = 'High/Low'
SOLID = '⎯⎯⎯'
DASHED = '----'
DOTTED = '····'
SMART_GROUP = 'Smart Money Concepts'
INTERNAL_GROUP = 'Real Time Internal Structure'
SWING_GROUP = 'Real Time Swing Structure'
BLOCKS_GROUP = 'Order Blocks'
EQUAL_GROUP = 'EQH/EQL'
GAPS_GROUP = 'Fair Value Gaps'
LEVELS_GROUP = 'Highs & Lows MTF'
ZONES_GROUP = 'Premium & Discount Zones'
modeTooltip = 'Allows to display historical Structure or only the recent ones'
styleTooltip = 'Indicator color theme'
showTrendTooltip = 'Display additional candles with a color reflecting the current trend detected by structure'
showInternalsTooltip = 'Display internal market structure'
internalFilterConfluenceTooltip = 'Filter non significant internal structure breakouts'
showStructureTooltip = 'Display swing market Structure'
showSwingsTooltip = 'Display swing point as labels on the chart'
showHighLowSwingsTooltip = 'Highlight most recent strong and weak high/low points on the chart'
showInternalOrderBlocksTooltip = 'Display internal order blocks on the chart\n\nNumber of internal order blocks to display on the chart'
showSwingOrderBlocksTooltip = 'Display swing order blocks on the chart\n\nNumber of internal swing blocks to display on the chart'
orderBlockFilterTooltip = 'Method used to filter out volatile order blocks \n\nIt is recommended to use the cumulative mean range method when a low amount of data is available'
orderBlockMitigationTooltip = 'Select what values to use for order block mitigation'
showEqualHighsLowsTooltip = 'Display equal highs and equal lows on the chart'
equalHighsLowsLengthTooltip = 'Number of bars used to confirm equal highs and equal lows'
equalHighsLowsThresholdTooltip = 'Sensitivity threshold in a range (0, 1) used for the detection of equal highs & lows\n\nLower values will return fewer but more pertinent results'
showFairValueGapsTooltip = 'Display fair values gaps on the chart'
fairValueGapsThresholdTooltip = 'Filter out non significant fair value gaps'
fairValueGapsTimeframeTooltip = 'Fair value gaps timeframe'
fairValueGapsExtendTooltip = 'Determine how many bars to extend the Fair Value Gap boxes on chart'
showPremiumDiscountZonesTooltip = 'Display premium, discount, and equilibrium zones on chart'
modeInput = input.string( HISTORICAL, 'Mode', group = SMART_GROUP, tooltip = modeTooltip, options = )
styleInput = input.string( COLORED, 'Style', group = SMART_GROUP, tooltip = styleTooltip,options = )
showTrendInput = input( false, 'Color Candles', group = SMART_GROUP, tooltip = showTrendTooltip)
showInternalsInput = input( false, 'Show Internal Structure', group = INTERNAL_GROUP, tooltip = showInternalsTooltip)
showInternalBullInput = input.string( ALL, 'Bullish Structure', group = INTERNAL_GROUP, inline = 'ibull', options = )
internalBullColorInput = input( GREEN, '', group = INTERNAL_GROUP, inline = 'ibull')
showInternalBearInput = input.string( ALL, 'Bearish Structure' , group = INTERNAL_GROUP, inline = 'ibear', options = )
internalBearColorInput = input( RED, '', group = INTERNAL_GROUP, inline = 'ibear')
internalFilterConfluenceInput = input( false, 'Confluence Filter', group = INTERNAL_GROUP, tooltip = internalFilterConfluenceTooltip)
internalStructureSize = input.string( TINY, 'Internal Label Size', group = INTERNAL_GROUP, options = )
showStructureInput = input( false, 'Show Swing Structure', group = SWING_GROUP, tooltip = showStructureTooltip)
showSwingBullInput = input.string( ALL, 'Bullish Structure', group = SWING_GROUP, inline = 'bull', options = )
swingBullColorInput = input( GREEN, '', group = SWING_GROUP, inline = 'bull')
showSwingBearInput = input.string( ALL, 'Bearish Structure', group = SWING_GROUP, inline = 'bear', options = )
swingBearColorInput = input( RED, '', group = SWING_GROUP, inline = 'bear')
swingStructureSize = input.string( SMALL, 'Swing Label Size', group = SWING_GROUP, options = )
showSwingsInput = input( false, 'Show Swings Points', group = SWING_GROUP, tooltip = showSwingsTooltip,inline = 'swings')
swingsLengthInput = input.int( 50, '', group = SWING_GROUP, minval = 10, inline = 'swings')
showHighLowSwingsInput = input( false, 'Show Strong/Weak High/Low',group = SWING_GROUP, tooltip = showHighLowSwingsTooltip)
showInternalOrderBlocksInput = input( true, 'Internal Order Blocks' , group = BLOCKS_GROUP, tooltip = showInternalOrderBlocksTooltip, inline = 'iob')
internalOrderBlocksSizeInput = input.int( 5, '', group = BLOCKS_GROUP, minval = 1, maxval = 20, inline = 'iob')
showSwingOrderBlocksInput = input( true, 'Swing Order Blocks', group = BLOCKS_GROUP, tooltip = showSwingOrderBlocksTooltip, inline = 'ob')
swingOrderBlocksSizeInput = input.int( 5, '', group = BLOCKS_GROUP, minval = 1, maxval = 20, inline = 'ob')
orderBlockFilterInput = input.string( 'Atr', 'Order Block Filter', group = BLOCKS_GROUP, tooltip = orderBlockFilterTooltip, options = )
orderBlockMitigationInput = input.string( HIGHLOW, 'Order Block Mitigation', group = BLOCKS_GROUP, tooltip = orderBlockMitigationTooltip, options = )
internalBullishOrderBlockColor = input.color(color.new(GREEN, 80), 'Internal Bullish OB', group = BLOCKS_GROUP)
internalBearishOrderBlockColor = input.color(color.new(#f77c80, 80), 'Internal Bearish OB', group = BLOCKS_GROUP)
swingBullishOrderBlockColor = input.color(color.new(GREEN, 80), 'Bullish OB', group = BLOCKS_GROUP)
swingBearishOrderBlockColor = input.color(color.new(#b22833, 80), 'Bearish OB', group = BLOCKS_GROUP)
showEqualHighsLowsInput = input( false, 'Equal High/Low', group = EQUAL_GROUP, tooltip = showEqualHighsLowsTooltip)
equalHighsLowsLengthInput = input.int( 3, 'Bars Confirmation', group = EQUAL_GROUP, tooltip = equalHighsLowsLengthTooltip, minval = 1)
equalHighsLowsThresholdInput = input.float( 0.1, 'Threshold', group = EQUAL_GROUP, tooltip = equalHighsLowsThresholdTooltip, minval = 0, maxval = 0.5, step = 0.1)
equalHighsLowsSizeInput = input.string( TINY, 'Label Size', group = EQUAL_GROUP, options = )
showFairValueGapsInput = input( false, 'Fair Value Gaps', group = GAPS_GROUP, tooltip = showFairValueGapsTooltip)
fairValueGapsThresholdInput = input( true, 'Auto Threshold', group = GAPS_GROUP, tooltip = fairValueGapsThresholdTooltip)
fairValueGapsTimeframeInput = input.timeframe('', 'Timeframe', group = GAPS_GROUP, tooltip = fairValueGapsTimeframeTooltip)
fairValueGapsBullColorInput = input.color(color.new(#00ff68, 70), 'Bullish FVG' , group = GAPS_GROUP)
fairValueGapsBearColorInput = input.color(color.new(#ff0008, 70), 'Bearish FVG' , group = GAPS_GROUP)
fairValueGapsExtendInput = input.int( 1, 'Extend FVG', group = GAPS_GROUP, tooltip = fairValueGapsExtendTooltip, minval = 0)
showDailyLevelsInput = input( false, 'Daily', group = LEVELS_GROUP, inline = 'daily')
dailyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'daily', options = )
dailyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'daily')
showWeeklyLevelsInput = input( false, 'Weekly', group = LEVELS_GROUP, inline = 'weekly')
weeklyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'weekly', options = )
weeklyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'weekly')
showMonthlyLevelsInput = input( false, 'Monthly', group = LEVELS_GROUP, inline = 'monthly')
monthlyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'monthly', options = )
monthlyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'monthly')
showPremiumDiscountZonesInput = input( false, 'Premium/Discount Zones', group = ZONES_GROUP , tooltip = showPremiumDiscountZonesTooltip)
premiumZoneColorInput = input.color( RED, 'Premium Zone', group = ZONES_GROUP)
equilibriumZoneColorInput = input.color( GRAY, 'Equilibrium Zone', group = ZONES_GROUP)
discountZoneColorInput = input.color( GREEN, 'Discount Zone', group = ZONES_GROUP)
type alerts
bool internalBullishBOS = false
bool internalBearishBOS = false
bool internalBullishCHoCH = false
bool internalBearishCHoCH = false
bool swingBullishBOS = false
bool swingBearishBOS = false
bool swingBullishCHoCH = false
bool swingBearishCHoCH = false
bool internalBullishOrderBlock = false
bool internalBearishOrderBlock = false
bool swingBullishOrderBlock = false
bool swingBearishOrderBlock = false
bool equalHighs = false
bool equalLows = false
bool bullishFairValueGap = false
bool bearishFairValueGap = false
type trailingExtremes
float top
float bottom
int barTime
int barIndex
int lastTopTime
int lastBottomTime
type fairValueGap
float top
float bottom
int bias
box topBox
box bottomBox
type trend
int bias
type equalDisplay
line l_ine = na
label l_abel = na
type pivot
float currentLevel
float lastLevel
bool crossed
int barTime = time
int barIndex = bar_index
type orderBlock
float barHigh
float barLow
int barTime
int bias
// @variable current swing pivot high
var pivot swingHigh = pivot.new(na,na,false)
// @variable current swing pivot low
var pivot swingLow = pivot.new(na,na,false)
// @variable current internal pivot high
var pivot internalHigh = pivot.new(na,na,false)
// @variable current internal pivot low
var pivot internalLow = pivot.new(na,na,false)
// @variable current equal high pivot
var pivot equalHigh = pivot.new(na,na,false)
// @variable current equal low pivot
var pivot equalLow = pivot.new(na,na,false)
// @variable swing trend bias
var trend swingTrend = trend.new(0)
// @variable internal trend bias
var trend internalTrend = trend.new(0)
// @variable equal high display
var equalDisplay equalHighDisplay = equalDisplay.new()
// @variable equal low display
var equalDisplay equalLowDisplay = equalDisplay.new()
// @variable storage for fairValueGap UDTs
var array fairValueGaps = array.new()
// @variable storage for parsed highs
var array parsedHighs = array.new()
// @variable storage for parsed lows
var array parsedLows = array.new()
// @variable storage for raw highs
var array highs = array.new()
// @variable storage for raw lows
var array lows = array.new()
// @variable storage for bar time values
var array times = array.new()
// @variable last trailing swing high and low
var trailingExtremes trailing = trailingExtremes.new()
// @variable storage for orderBlock UDTs (swing order blocks)
var array swingOrderBlocks = array.new()
// @variable storage for orderBlock UDTs (internal order blocks)
var array internalOrderBlocks = array.new()
// @variable storage for swing order blocks boxes
var array swingOrderBlocksBoxes = array.new()
// @variable storage for internal order blocks boxes
var array internalOrderBlocksBoxes = array.new()
// @variable color for swing bullish structures
var swingBullishColor = styleInput == MONOCHROME ? MONO_BULLISH : swingBullColorInput
// @variable color for swing bearish structures
var swingBearishColor = styleInput == MONOCHROME ? MONO_BEARISH : swingBearColorInput
// @variable color for bullish fair value gaps
var fairValueGapBullishColor = styleInput == MONOCHROME ? color.new(MONO_BULLISH,70) : fairValueGapsBullColorInput
// @variable color for bearish fair value gaps
var fairValueGapBearishColor = styleInput == MONOCHROME ? color.new(MONO_BEARISH,70) : fairValueGapsBearColorInput
// @variable color for premium zone
var premiumZoneColor = styleInput == MONOCHROME ? MONO_BEARISH : premiumZoneColorInput
// @variable color for discount zone
var discountZoneColor = styleInput == MONOCHROME ? MONO_BULLISH : discountZoneColorInput
// @variable bar index on current script iteration
varip int currentBarIndex = bar_index
// @variable bar index on last script iteration
varip int lastBarIndex = bar_index
// @variable alerts in current bar
alerts currentAlerts = alerts.new()
// @variable time at start of chart
var initialTime = time
// we create the needed boxes for displaying order blocks at the first execution
if barstate.isfirst
if showSwingOrderBlocksInput
for index = 1 to swingOrderBlocksSizeInput
swingOrderBlocksBoxes.push(box.new(na,na,na,na,xloc = xloc.bar_time,extend = extend.right))
if showInternalOrderBlocksInput
for index = 1 to internalOrderBlocksSizeInput
internalOrderBlocksBoxes.push(box.new(na,na,na,na,xloc = xloc.bar_time,extend = extend.right))
// @variable source to use in bearish order blocks mitigation
bearishOrderBlockMitigationSource = orderBlockMitigationInput == CLOSE ? close : high
// @variable source to use in bullish order blocks mitigation
bullishOrderBlockMitigationSource = orderBlockMitigationInput == CLOSE ? close : low
// @variable default volatility measure
atrMeasure = ta.atr(200)
// @variable parsed volatility measure by user settings
volatilityMeasure = orderBlockFilterInput == ATR ? atrMeasure : ta.cum(ta.tr)/bar_index
// @variable true if current bar is a high volatility bar
highVolatilityBar = (high - low) >= (2 * volatilityMeasure)
// @variable parsed high
parsedHigh = highVolatilityBar ? low : high
// @variable parsed low
parsedLow = highVolatilityBar ? high : low
// we store current values into the arrays at each bar
parsedHighs.push(parsedHigh)
parsedLows.push(parsedLow)
highs.push(high)
lows.push(low)
times.push(time)
leg(int size) =>
var leg = 0
newLegHigh = high > ta.highest( size)
newLegLow = low < ta.lowest( size)
if newLegHigh
leg := BEARISH_LEG
else if newLegLow
leg := BULLISH_LEG
leg
startOfNewLeg(int leg) => ta.change(leg) != 0
startOfBearishLeg(int leg) => ta.change(leg) == -1
startOfBullishLeg(int leg) => ta.change(leg) == +1
drawLabel(int labelTime, float labelPrice, string tag, color labelColor, string labelStyle) =>
var label l_abel = na
if modeInput == PRESENT
l_abel.delete()
l_abel := label.new(chart.point.new(labelTime,na,labelPrice),tag,xloc.bar_time,color=color(na),textcolor=labelColor,style = labelStyle,size = size.small)
drawEqualHighLow(pivot p_ivot, float level, int size, bool equalHigh) =>
equalDisplay e_qualDisplay = equalHigh ? equalHighDisplay : equalLowDisplay
string tag = 'EQL'
color equalColor = swingBullishColor
string labelStyle = label.style_label_up
if equalHigh
tag := 'EQH'
equalColor := swingBearishColor
labelStyle := label.style_label_down
if modeInput == PRESENT
line.delete( e_qualDisplay.l_ine)
label.delete( e_qualDisplay.l_abel)
e_qualDisplay.l_ine := line.new(chart.point.new(p_ivot.barTime,na,p_ivot.currentLevel), chart.point.new(time ,na,level), xloc = xloc.bar_time, color = equalColor, style = line.style_dotted)
labelPosition = math.round(0.5*(p_ivot.barIndex + bar_index - size))
e_qualDisplay.l_abel := label.new(chart.point.new(na,labelPosition,level), tag, xloc.bar_index, color = color(na), textcolor = equalColor, style = labelStyle, size = equalHighsLowsSizeInput)
getCurrentStructure(int size,bool equalHighLow = false, bool internal = false) =>
currentLeg = leg(size)
newPivot = startOfNewLeg(currentLeg)
pivotLow = startOfBullishLeg(currentLeg)
pivotHigh = startOfBearishLeg(currentLeg)
if newPivot
if pivotLow
pivot p_ivot = equalHighLow ? equalLow : internal ? internalLow : swingLow
if equalHighLow and math.abs(p_ivot.currentLevel - low ) < equalHighsLowsThresholdInput * atrMeasure
drawEqualHighLow(p_ivot, low , size, false)
p_ivot.lastLevel := p_ivot.currentLevel
p_ivot.currentLevel := low
p_ivot.crossed := false
p_ivot.barTime := time
p_ivot.barIndex := bar_index
if not equalHighLow and not internal
trailing.bottom := p_ivot.currentLevel
trailing.barTime := p_ivot.barTime
trailing.barIndex := p_ivot.barIndex
trailing.lastBottomTime := p_ivot.barTime
if showSwingsInput and not internal and not equalHighLow
drawLabel(time , p_ivot.currentLevel, p_ivot.currentLevel < p_ivot.lastLevel ? 'LL' : 'HL', swingBullishColor, label.style_label_up)
else
pivot p_ivot = equalHighLow ? equalHigh : internal ? internalHigh : swingHigh
if equalHighLow and math.abs(p_ivot.currentLevel - high ) < equalHighsLowsThresholdInput * atrMeasure
drawEqualHighLow(p_ivot,high ,size,true)
p_ivot.lastLevel := p_ivot.currentLevel
p_ivot.currentLevel := high
p_ivot.crossed := false
p_ivot.barTime := time
p_ivot.barIndex := bar_index
if not equalHighLow and not internal
trailing.top := p_ivot.currentLevel
trailing.barTime := p_ivot.barTime
trailing.barIndex := p_ivot.barIndex
trailing.lastTopTime := p_ivot.barTime
if showSwingsInput and not internal and not equalHighLow
drawLabel(time , p_ivot.currentLevel, p_ivot.currentLevel > p_ivot.lastLevel ? 'HH' : 'LH', swingBearishColor, label.style_label_down)
drawStructure(pivot p_ivot, string tag, color structureColor, string lineStyle, string labelStyle, string labelSize) =>
var line l_ine = line.new(na,na,na,na,xloc = xloc.bar_time)
var label l_abel = label.new(na,na)
if modeInput == PRESENT
l_ine.delete()
l_abel.delete()
l_ine := line.new(chart.point.new(p_ivot.barTime,na,p_ivot.currentLevel), chart.point.new(time,na,p_ivot.currentLevel), xloc.bar_time, color=structureColor, style=lineStyle)
l_abel := label.new(chart.point.new(na,math.round(0.5*(p_ivot.barIndex+bar_index)),p_ivot.currentLevel), tag, xloc.bar_index, color=color(na), textcolor=structureColor, style=labelStyle, size = labelSize)
deleteOrderBlocks(bool internal = false) =>
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
for in orderBlocks
bool crossedOderBlock = false
if bearishOrderBlockMitigationSource > eachOrderBlock.barHigh and eachOrderBlock.bias == BEARISH
crossedOderBlock := true
if internal
currentAlerts.internalBearishOrderBlock := true
else
currentAlerts.swingBearishOrderBlock := true
else if bullishOrderBlockMitigationSource < eachOrderBlock.barLow and eachOrderBlock.bias == BULLISH
crossedOderBlock := true
if internal
currentAlerts.internalBullishOrderBlock := true
else
currentAlerts.swingBullishOrderBlock := true
if crossedOderBlock
orderBlocks.remove(index)
storeOrdeBlock(pivot p_ivot,bool internal = false,int bias) =>
if (not internal and showSwingOrderBlocksInput) or (internal and showInternalOrderBlocksInput)
array a_rray = na
int parsedIndex = na
if bias == BEARISH
a_rray := parsedHighs.slice(p_ivot.barIndex,bar_index)
parsedIndex := p_ivot.barIndex + a_rray.indexof(a_rray.max())
else
a_rray := parsedLows.slice(p_ivot.barIndex,bar_index)
parsedIndex := p_ivot.barIndex + a_rray.indexof(a_rray.min())
orderBlock o_rderBlock = orderBlock.new(parsedHighs.get(parsedIndex), parsedLows.get(parsedIndex), times.get(parsedIndex),bias)
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
if orderBlocks.size() >= 100
orderBlocks.pop()
orderBlocks.unshift(o_rderBlock)
drawOrderBlocks(bool internal = false) =>
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
orderBlocksSize = orderBlocks.size()
if orderBlocksSize > 0
maxOrderBlocks = internal ? internalOrderBlocksSizeInput : swingOrderBlocksSizeInput
array parsedOrdeBlocks = orderBlocks.slice(0, math.min(maxOrderBlocks,orderBlocksSize))
array b_oxes = internal ? internalOrderBlocksBoxes : swingOrderBlocksBoxes
for in parsedOrdeBlocks
orderBlockColor = styleInput == MONOCHROME ? (eachOrderBlock.bias == BEARISH ? color.new(MONO_BEARISH,80) : color.new(MONO_BULLISH,80)) : internal ? (eachOrderBlock.bias == BEARISH ? internalBearishOrderBlockColor : internalBullishOrderBlockColor) : (eachOrderBlock.bias == BEARISH ? swingBearishOrderBlockColor : swingBullishOrderBlockColor)
box b_ox = b_oxes.get(index)
b_ox.set_top_left_point( chart.point.new(eachOrderBlock.barTime,na,eachOrderBlock.barHigh))
b_ox.set_bottom_right_point(chart.point.new(last_bar_time,na,eachOrderBlock.barLow))
b_ox.set_border_color( internal ? na : orderBlockColor)
b_ox.set_bgcolor( orderBlockColor)
displayStructure(bool internal = false) =>
var bullishBar = true
var bearishBar = true
if internalFilterConfluenceInput
bullishBar := high - math.max(close, open) > math.min(close, open - low)
bearishBar := high - math.max(close, open) < math.min(close, open - low)
pivot p_ivot = internal ? internalHigh : swingHigh
trend t_rend = internal ? internalTrend : swingTrend
lineStyle = internal ? line.style_dashed : line.style_solid
labelSize = internal ? internalStructureSize : swingStructureSize
extraCondition = internal ? internalHigh.currentLevel != swingHigh.currentLevel and bullishBar : true
bullishColor = styleInput == MONOCHROME ? MONO_BULLISH : internal ? internalBullColorInput : swingBullColorInput
if ta.crossover(close,p_ivot.currentLevel) and not p_ivot.crossed and extraCondition
string tag = t_rend.bias == BEARISH ? CHOCH : BOS
if internal
currentAlerts.internalBullishCHoCH := tag == CHOCH
currentAlerts.internalBullishBOS := tag == BOS
else
currentAlerts.swingBullishCHoCH := tag == CHOCH
currentAlerts.swingBullishBOS := tag == BOS
p_ivot.crossed := true
t_rend.bias := BULLISH
displayCondition = internal ? showInternalsInput and (showInternalBullInput == ALL or (showInternalBullInput == BOS and tag != CHOCH) or (showInternalBullInput == CHOCH and tag == CHOCH)) : showStructureInput and (showSwingBullInput == ALL or (showSwingBullInput == BOS and tag != CHOCH) or (showSwingBullInput == CHOCH and tag == CHOCH))
if displayCondition
drawStructure(p_ivot,tag,bullishColor,lineStyle,label.style_label_down,labelSize)
if (internal and showInternalOrderBlocksInput) or (not internal and showSwingOrderBlocksInput)
storeOrdeBlock(p_ivot,internal,BULLISH)
p_ivot := internal ? internalLow : swingLow
extraCondition := internal ? internalLow.currentLevel != swingLow.currentLevel and bearishBar : true
bearishColor = styleInput == MONOCHROME ? MONO_BEARISH : internal ? internalBearColorInput : swingBearColorInput
if ta.crossunder(close,p_ivot.currentLevel) and not p_ivot.crossed and extraCondition
string tag = t_rend.bias == BULLISH ? CHOCH : BOS
if internal
currentAlerts.internalBearishCHoCH := tag == CHOCH
currentAlerts.internalBearishBOS := tag == BOS
else
currentAlerts.swingBearishCHoCH := tag == CHOCH
currentAlerts.swingBearishBOS := tag == BOS
p_ivot.crossed := true
t_rend.bias := BEARISH
displayCondition = internal ? showInternalsInput and (showInternalBearInput == ALL or (showInternalBearInput == BOS and tag != CHOCH) or (showInternalBearInput == CHOCH and tag == CHOCH)) : showStructureInput and (showSwingBearInput == ALL or (showSwingBearInput == BOS and tag != CHOCH) or (showSwingBearInput == CHOCH and tag == CHOCH))
if displayCondition
drawStructure(p_ivot,tag,bearishColor,lineStyle,label.style_label_up,labelSize)
if (internal and showInternalOrderBlocksInput) or (not internal and showSwingOrderBlocksInput)
storeOrdeBlock(p_ivot,internal,BEARISH)
fairValueGapBox(leftTime,rightTime,topPrice,bottomPrice,boxColor) => box.new(chart.point.new(leftTime,na,topPrice),chart.point.new(rightTime + fairValueGapsExtendInput * (time-time ),na,bottomPrice), xloc=xloc.bar_time, border_color = boxColor, bgcolor = boxColor)
deleteFairValueGaps() =>
for in fairValueGaps
if (low < eachFairValueGap.bottom and eachFairValueGap.bias == BULLISH) or (high > eachFairValueGap.top and eachFairValueGap.bias == BEARISH)
eachFairValueGap.topBox.delete()
eachFairValueGap.bottomBox.delete()
fairValueGaps.remove(index)
// @function draw fair value gaps
// @returns fairValueGap ID
drawFairValueGaps() =>
= request.security(syminfo.tickerid, fairValueGapsTimeframeInput, [close , open , time , high , low , time , high , low ],lookahead = barmerge.lookahead_on)
barDeltaPercent = (lastClose - lastOpen) / (lastOpen * 100)
newTimeframe = timeframe.change(fairValueGapsTimeframeInput)
threshold = fairValueGapsThresholdInput ? ta.cum(math.abs(newTimeframe ? barDeltaPercent : 0)) / bar_index * 2 : 0
bullishFairValueGap = currentLow > last2High and lastClose > last2High and barDeltaPercent > threshold and newTimeframe
bearishFairValueGap = currentHigh < last2Low and lastClose < last2Low and -barDeltaPercent > threshold and newTimeframe
if bullishFairValueGap
currentAlerts.bullishFairValueGap := true
fairValueGaps.unshift(fairValueGap.new(currentLow,last2High,BULLISH,fairValueGapBox(lastTime,currentTime,currentLow,math.avg(currentLow,last2High),fairValueGapBullishColor),fairValueGapBox(lastTime,currentTime,math.avg(currentLow,last2High),last2High,fairValueGapBullishColor)))
if bearishFairValueGap
currentAlerts.bearishFairValueGap := true
fairValueGaps.unshift(fairValueGap.new(currentHigh,last2Low,BEARISH,fairValueGapBox(lastTime,currentTime,currentHigh,math.avg(currentHigh,last2Low),fairValueGapBearishColor),fairValueGapBox(lastTime,currentTime,math.avg(currentHigh,last2Low),last2Low,fairValueGapBearishColor)))
getStyle(string style) =>
switch style
SOLID => line.style_solid
DASHED => line.style_dashed
DOTTED => line.style_dotted
drawLevels(string timeframe, bool sameTimeframe, string style, color levelColor) =>
= request.security(syminfo.tickerid, timeframe, [high , low , time , time],lookahead = barmerge.lookahead_on)
float parsedTop = sameTimeframe ? high : topLevel
float parsedBottom = sameTimeframe ? low : bottomLevel
int parsedLeftTime = sameTimeframe ? time : leftTime
int parsedRightTime = sameTimeframe ? time : rightTime
int parsedTopTime = time
int parsedBottomTime = time
if not sameTimeframe
int leftIndex = times.binary_search_rightmost(parsedLeftTime)
int rightIndex = times.binary_search_rightmost(parsedRightTime)
array timeArray = times.slice(leftIndex,rightIndex)
array topArray = highs.slice(leftIndex,rightIndex)
array bottomArray = lows.slice(leftIndex,rightIndex)
parsedTopTime := timeArray.size() > 0 ? timeArray.get(topArray.indexof(topArray.max())) : initialTime
parsedBottomTime := timeArray.size() > 0 ? timeArray.get(bottomArray.indexof(bottomArray.min())) : initialTime
var line topLine = line.new(na, na, na, na, xloc = xloc.bar_time, color = levelColor, style = getStyle(style))
var line bottomLine = line.new(na, na, na, na, xloc = xloc.bar_time, color = levelColor, style = getStyle(style))
var label topLabel = label.new(na, na, xloc = xloc.bar_time, text = str.format('P{0}H',timeframe), color=color(na), textcolor = levelColor, size = size.small, style = label.style_label_left)
var label bottomLabel = label.new(na, na, xloc = xloc.bar_time, text = str.format('P{0}L',timeframe), color=color(na), textcolor = levelColor, size = size.small, style = label.style_label_left)
topLine.set_first_point( chart.point.new(parsedTopTime,na,parsedTop))
topLine.set_second_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedTop))
topLabel.set_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedTop))
bottomLine.set_first_point( chart.point.new(parsedBottomTime,na,parsedBottom))
bottomLine.set_second_point(chart.point.new(last_bar_time + 20 * (time-time ),na,parsedBottom))
bottomLabel.set_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedBottom))
higherTimeframe(string timeframe) => timeframe.in_seconds() > timeframe.in_seconds(timeframe)
updateTrailingExtremes() =>
trailing.top := math.max(high,trailing.top)
trailing.lastTopTime := trailing.top == high ? time : trailing.lastTopTime
trailing.bottom := math.min(low,trailing.bottom)
trailing.lastBottomTime := trailing.bottom == low ? time : trailing.lastBottomTime
drawHighLowSwings() =>
var line topLine = line.new(na, na, na, na, color = swingBearishColor, xloc = xloc.bar_time)
var line bottomLine = line.new(na, na, na, na, color = swingBullishColor, xloc = xloc.bar_time)
var label topLabel = label.new(na, na, color=color(na), textcolor = swingBearishColor, xloc = xloc.bar_time, style = label.style_label_down, size = size.tiny)
var label bottomLabel = label.new(na, na, color=color(na), textcolor = swingBullishColor, xloc = xloc.bar_time, style = label.style_label_up, size = size.tiny)
rightTimeBar = last_bar_time + 20 * (time - time )
topLine.set_first_point( chart.point.new(trailing.lastTopTime, na, trailing.top))
topLine.set_second_point( chart.point.new(rightTimeBar, na, trailing.top))
topLabel.set_point( chart.point.new(rightTimeBar, na, trailing.top))
topLabel.set_text( swingTrend.bias == BEARISH ? 'Strong High' : 'Weak High')
bottomLine.set_first_point( chart.point.new(trailing.lastBottomTime, na, trailing.bottom))
bottomLine.set_second_point(chart.point.new(rightTimeBar, na, trailing.bottom))
bottomLabel.set_point( chart.point.new(rightTimeBar, na, trailing.bottom))
bottomLabel.set_text( swingTrend.bias == BULLISH ? 'Strong Low' : 'Weak Low')
drawZone(float labelLevel, int labelIndex, float top, float bottom, string tag, color zoneColor, string style) =>
var label l_abel = label.new(na,na,text = tag, color=color(na),textcolor = zoneColor, style = style, size = size.small)
var box b_ox = box.new(na,na,na,na,bgcolor = color.new(zoneColor,80),border_color = color(na), xloc = xloc.bar_time)
b_ox.set_top_left_point( chart.point.new(trailing.barTime,na,top))
b_ox.set_bottom_right_point(chart.point.new(last_bar_time,na,bottom))
l_abel.set_point( chart.point.new(na,labelIndex,labelLevel))
// @function draw premium/discount zones
// @returns void
drawPremiumDiscountZones() =>
drawZone(trailing.top, math.round(0.5*(trailing.barIndex + last_bar_index)), trailing.top, 0.95*trailing.top + 0.05*trailing.bottom, 'Premium', premiumZoneColor, label.style_label_down)
equilibriumLevel = math.avg(trailing.top, trailing.bottom)
drawZone(equilibriumLevel, last_bar_index, 0.525*trailing.top + 0.475*trailing.bottom, 0.525*trailing.bottom + 0.475*trailing.top, 'Equilibrium', equilibriumZoneColorInput, label.style_label_left)
drawZone(trailing.bottom, math.round(0.5*(trailing.barIndex + last_bar_index)), 0.95*trailing.bottom + 0.05*trailing.top, trailing.bottom, 'Discount', discountZoneColor, label.style_label_up)
parsedOpen = showTrendInput ? open : na
candleColor = internalTrend.bias == BULLISH ? swingBullishColor : swingBearishColor
plotcandle(parsedOpen,high,low,close,color = candleColor, wickcolor = candleColor, bordercolor = candleColor)
if showHighLowSwingsInput or showPremiumDiscountZonesInput
updateTrailingExtremes()
if showHighLowSwingsInput
drawHighLowSwings()
if showPremiumDiscountZonesInput
drawPremiumDiscountZones()
if showFairValueGapsInput
deleteFairValueGaps()
getCurrentStructure(swingsLengthInput,false)
getCurrentStructure(5,false,true)
if showEqualHighsLowsInput
getCurrentStructure(equalHighsLowsLengthInput,true)
if showInternalsInput or showInternalOrderBlocksInput or showTrendInput
displayStructure(true)
if showStructureInput or showSwingOrderBlocksInput or showHighLowSwingsInput
displayStructure()
if showInternalOrderBlocksInput
deleteOrderBlocks(true)
if showSwingOrderBlocksInput
deleteOrderBlocks()
if showFairValueGapsInput
drawFairValueGaps()
if barstate.islastconfirmedhistory or barstate.islast
if showInternalOrderBlocksInput
drawOrderBlocks(true)
if showSwingOrderBlocksInput
drawOrderBlocks()
lastBarIndex := currentBarIndex
currentBarIndex := bar_index
newBar = currentBarIndex != lastBarIndex
if barstate.islastconfirmedhistory or (barstate.isrealtime and newBar)
if showDailyLevelsInput and not higherTimeframe('D')
drawLevels('D',timeframe.isdaily,dailyLevelsStyleInput,dailyLevelsColorInput)
if showWeeklyLevelsInput and not higherTimeframe('W')
drawLevels('W',timeframe.isweekly,weeklyLevelsStyleInput,weeklyLevelsColorInput)
if showMonthlyLevelsInput and not higherTimeframe('M')
drawLevels('M',timeframe.ismonthly,monthlyLevelsStyleInput,monthlyLevelsColorInput)
xATR = ta.atr(c)
nLoss = a * xATR
src = h ? request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, close, lookahead = barmerge.lookahead_off) : close
xATRTrailingStop = 0.0
iff_1 = src > nz(xATRTrailingStop , 0) ? src - nLoss : src + nLoss
iff_2 = src < nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? math.min(nz(xATRTrailingStop ), src + nLoss) : iff_1
xATRTrailingStop := src > nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? math.max(nz(xATRTrailingStop ), src - nLoss) : iff_2
pos = 0
iff_3 = src > nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? -1 : nz(pos , 0)
pos := src < nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? 1 : iff_3
xcolor = pos == -1 ? color.red : pos == 1 ? color.green : color.blue
ema = ta.ema(src, 1)
above = ta.crossover(ema, xATRTrailingStop)
below = ta.crossover(xATRTrailingStop, ema)
buy = src > xATRTrailingStop and above
sell = src < xATRTrailingStop and below
barbuy = src > xATRTrailingStop
barsell = src < xATRTrailingStop
//---------------------------------------------------------------------------------------------------------------------}
//ALERTS
//---------------------------------------------------------------------------------------------------------------------{
alertcondition(currentAlerts.internalBullishBOS, 'Internal Bullish BOS', 'Internal Bullish BOS formed')
alertcondition(currentAlerts.internalBullishCHoCH, 'Internal Bullish CHoCH', 'Internal Bullish CHoCH formed')
alertcondition(currentAlerts.internalBearishBOS, 'Internal Bearish BOS', 'Internal Bearish BOS formed')
alertcondition(currentAlerts.internalBearishCHoCH, 'Internal Bearish CHoCH', 'Internal Bearish CHoCH formed')
alertcondition(currentAlerts.swingBullishBOS, 'Bullish BOS', 'Internal Bullish BOS formed')
alertcondition(currentAlerts.swingBullishCHoCH, 'Bullish CHoCH', 'Internal Bullish CHoCH formed')
alertcondition(currentAlerts.swingBearishBOS, 'Bearish BOS', 'Bearish BOS formed')
alertcondition(currentAlerts.swingBearishCHoCH, 'Bearish CHoCH', 'Bearish CHoCH formed')
alertcondition(currentAlerts.internalBullishOrderBlock, 'Bullish Internal OB Breakout', 'Price broke bullish internal OB')
alertcondition(currentAlerts.internalBearishOrderBlock, 'Bearish Internal OB Breakout', 'Price broke bearish internal OB')
alertcondition(currentAlerts.swingBullishOrderBlock, 'Bullish Swing OB Breakout', 'Price broke bullish swing OB')
alertcondition(currentAlerts.swingBearishOrderBlock, 'Bearish Swing OB Breakout', 'Price broke bearish swing OB')
alertcondition(currentAlerts.equalHighs, 'Equal Highs', 'Equal highs detected')
alertcondition(currentAlerts.equalLows, 'Equal Lows', 'Equal lows detected')
alertcondition(currentAlerts.bullishFairValueGap, 'Bullish FVG', 'Bullish FVG formed')
alertcondition(currentAlerts.bearishFairValueGap, 'Bearish FVG', 'Bearish FVG formed')
alertcondition(buy, 'UT Long', 'UT Long')
alertcondition(sell, 'UT Short', 'UT Short')
plotshape(buy, title = 'Buy', text = 'Buy', style = shape.labelup, location = location.belowbar, color = color.new(color.green, 0), textcolor = color.new(color.white, 0), size = size.tiny)
plotshape(sell, title = 'Sell', text = 'Sell', style = shape.labeldown, location = location.abovebar, color = color.new(color.red, 0), textcolor = color.new(color.white, 0), size = size.tiny)
//--------------------------------------------------------------------------------------
// EMA ADDITIONS (Editable)
//--------------------------------------------------------------------------------------
ema5Len = input.int(5, "5 EMA Length", minval = 1)
ema9Len = input.int(9, "9 EMA Length", minval = 1)
ema5 = ta.ema(src, ema5Len)
ema9 = ta.ema(src, ema9Len)
plot(ema5, "EMA 5", color = color.red, linewidth = 2)
plot(ema9, "EMA 9", color = color.blue, linewidth = 2)
barcolor(barbuy ? color.green : na)
barcolor(barsell ? color.red : na)
Naveen Prabhu with EMA//@version=6
indicator('Naveen Prabhu with EMA', overlay = true, max_labels_count = 500, max_lines_count = 500, max_boxes_count = 500)
a = input(2, title = 'Key Vaule. \'This changes the sensitivity\'')
c = input(5, title = 'ATR Period')
h = input(false, title = 'Signals from Heikin Ashi Candles')
BULLISH_LEG = 1
BEARISH_LEG = 0
BULLISH = +1
BEARISH = -1
GREEN = #089981
RED = #F23645
BLUE = #2157f3
GRAY = #878b94
MONO_BULLISH = #b2b5be
MONO_BEARISH = #5d606b
HISTORICAL = 'Historical'
PRESENT = 'Present'
COLORED = 'Colored'
MONOCHROME = 'Monochrome'
ALL = 'All'
BOS = 'BOS'
CHOCH = 'CHoCH'
TINY = size.tiny
SMALL = size.small
NORMAL = size.normal
ATR = 'Atr'
RANGE = 'Cumulative Mean Range'
CLOSE = 'Close'
HIGHLOW = 'High/Low'
SOLID = '⎯⎯⎯'
DASHED = '----'
DOTTED = '····'
SMART_GROUP = 'Smart Money Concepts'
INTERNAL_GROUP = 'Real Time Internal Structure'
SWING_GROUP = 'Real Time Swing Structure'
BLOCKS_GROUP = 'Order Blocks'
EQUAL_GROUP = 'EQH/EQL'
GAPS_GROUP = 'Fair Value Gaps'
LEVELS_GROUP = 'Highs & Lows MTF'
ZONES_GROUP = 'Premium & Discount Zones'
modeTooltip = 'Allows to display historical Structure or only the recent ones'
styleTooltip = 'Indicator color theme'
showTrendTooltip = 'Display additional candles with a color reflecting the current trend detected by structure'
showInternalsTooltip = 'Display internal market structure'
internalFilterConfluenceTooltip = 'Filter non significant internal structure breakouts'
showStructureTooltip = 'Display swing market Structure'
showSwingsTooltip = 'Display swing point as labels on the chart'
showHighLowSwingsTooltip = 'Highlight most recent strong and weak high/low points on the chart'
showInternalOrderBlocksTooltip = 'Display internal order blocks on the chart\n\nNumber of internal order blocks to display on the chart'
showSwingOrderBlocksTooltip = 'Display swing order blocks on the chart\n\nNumber of internal swing blocks to display on the chart'
orderBlockFilterTooltip = 'Method used to filter out volatile order blocks \n\nIt is recommended to use the cumulative mean range method when a low amount of data is available'
orderBlockMitigationTooltip = 'Select what values to use for order block mitigation'
showEqualHighsLowsTooltip = 'Display equal highs and equal lows on the chart'
equalHighsLowsLengthTooltip = 'Number of bars used to confirm equal highs and equal lows'
equalHighsLowsThresholdTooltip = 'Sensitivity threshold in a range (0, 1) used for the detection of equal highs & lows\n\nLower values will return fewer but more pertinent results'
showFairValueGapsTooltip = 'Display fair values gaps on the chart'
fairValueGapsThresholdTooltip = 'Filter out non significant fair value gaps'
fairValueGapsTimeframeTooltip = 'Fair value gaps timeframe'
fairValueGapsExtendTooltip = 'Determine how many bars to extend the Fair Value Gap boxes on chart'
showPremiumDiscountZonesTooltip = 'Display premium, discount, and equilibrium zones on chart'
modeInput = input.string( HISTORICAL, 'Mode', group = SMART_GROUP, tooltip = modeTooltip, options = )
styleInput = input.string( COLORED, 'Style', group = SMART_GROUP, tooltip = styleTooltip,options = )
showTrendInput = input( false, 'Color Candles', group = SMART_GROUP, tooltip = showTrendTooltip)
showInternalsInput = input( false, 'Show Internal Structure', group = INTERNAL_GROUP, tooltip = showInternalsTooltip)
showInternalBullInput = input.string( ALL, 'Bullish Structure', group = INTERNAL_GROUP, inline = 'ibull', options = )
internalBullColorInput = input( GREEN, '', group = INTERNAL_GROUP, inline = 'ibull')
showInternalBearInput = input.string( ALL, 'Bearish Structure' , group = INTERNAL_GROUP, inline = 'ibear', options = )
internalBearColorInput = input( RED, '', group = INTERNAL_GROUP, inline = 'ibear')
internalFilterConfluenceInput = input( false, 'Confluence Filter', group = INTERNAL_GROUP, tooltip = internalFilterConfluenceTooltip)
internalStructureSize = input.string( TINY, 'Internal Label Size', group = INTERNAL_GROUP, options = )
showStructureInput = input( false, 'Show Swing Structure', group = SWING_GROUP, tooltip = showStructureTooltip)
showSwingBullInput = input.string( ALL, 'Bullish Structure', group = SWING_GROUP, inline = 'bull', options = )
swingBullColorInput = input( GREEN, '', group = SWING_GROUP, inline = 'bull')
showSwingBearInput = input.string( ALL, 'Bearish Structure', group = SWING_GROUP, inline = 'bear', options = )
swingBearColorInput = input( RED, '', group = SWING_GROUP, inline = 'bear')
swingStructureSize = input.string( SMALL, 'Swing Label Size', group = SWING_GROUP, options = )
showSwingsInput = input( false, 'Show Swings Points', group = SWING_GROUP, tooltip = showSwingsTooltip,inline = 'swings')
swingsLengthInput = input.int( 50, '', group = SWING_GROUP, minval = 10, inline = 'swings')
showHighLowSwingsInput = input( false, 'Show Strong/Weak High/Low',group = SWING_GROUP, tooltip = showHighLowSwingsTooltip)
showInternalOrderBlocksInput = input( true, 'Internal Order Blocks' , group = BLOCKS_GROUP, tooltip = showInternalOrderBlocksTooltip, inline = 'iob')
internalOrderBlocksSizeInput = input.int( 5, '', group = BLOCKS_GROUP, minval = 1, maxval = 20, inline = 'iob')
showSwingOrderBlocksInput = input( true, 'Swing Order Blocks', group = BLOCKS_GROUP, tooltip = showSwingOrderBlocksTooltip, inline = 'ob')
swingOrderBlocksSizeInput = input.int( 5, '', group = BLOCKS_GROUP, minval = 1, maxval = 20, inline = 'ob')
orderBlockFilterInput = input.string( 'Atr', 'Order Block Filter', group = BLOCKS_GROUP, tooltip = orderBlockFilterTooltip, options = )
orderBlockMitigationInput = input.string( HIGHLOW, 'Order Block Mitigation', group = BLOCKS_GROUP, tooltip = orderBlockMitigationTooltip, options = )
internalBullishOrderBlockColor = input.color(color.new(GREEN, 80), 'Internal Bullish OB', group = BLOCKS_GROUP)
internalBearishOrderBlockColor = input.color(color.new(#f77c80, 80), 'Internal Bearish OB', group = BLOCKS_GROUP)
swingBullishOrderBlockColor = input.color(color.new(GREEN, 80), 'Bullish OB', group = BLOCKS_GROUP)
swingBearishOrderBlockColor = input.color(color.new(#b22833, 80), 'Bearish OB', group = BLOCKS_GROUP)
showEqualHighsLowsInput = input( false, 'Equal High/Low', group = EQUAL_GROUP, tooltip = showEqualHighsLowsTooltip)
equalHighsLowsLengthInput = input.int( 3, 'Bars Confirmation', group = EQUAL_GROUP, tooltip = equalHighsLowsLengthTooltip, minval = 1)
equalHighsLowsThresholdInput = input.float( 0.1, 'Threshold', group = EQUAL_GROUP, tooltip = equalHighsLowsThresholdTooltip, minval = 0, maxval = 0.5, step = 0.1)
equalHighsLowsSizeInput = input.string( TINY, 'Label Size', group = EQUAL_GROUP, options = )
showFairValueGapsInput = input( false, 'Fair Value Gaps', group = GAPS_GROUP, tooltip = showFairValueGapsTooltip)
fairValueGapsThresholdInput = input( true, 'Auto Threshold', group = GAPS_GROUP, tooltip = fairValueGapsThresholdTooltip)
fairValueGapsTimeframeInput = input.timeframe('', 'Timeframe', group = GAPS_GROUP, tooltip = fairValueGapsTimeframeTooltip)
fairValueGapsBullColorInput = input.color(color.new(#00ff68, 70), 'Bullish FVG' , group = GAPS_GROUP)
fairValueGapsBearColorInput = input.color(color.new(#ff0008, 70), 'Bearish FVG' , group = GAPS_GROUP)
fairValueGapsExtendInput = input.int( 1, 'Extend FVG', group = GAPS_GROUP, tooltip = fairValueGapsExtendTooltip, minval = 0)
showDailyLevelsInput = input( false, 'Daily', group = LEVELS_GROUP, inline = 'daily')
dailyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'daily', options = )
dailyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'daily')
showWeeklyLevelsInput = input( false, 'Weekly', group = LEVELS_GROUP, inline = 'weekly')
weeklyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'weekly', options = )
weeklyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'weekly')
showMonthlyLevelsInput = input( false, 'Monthly', group = LEVELS_GROUP, inline = 'monthly')
monthlyLevelsStyleInput = input.string( SOLID, '', group = LEVELS_GROUP, inline = 'monthly', options = )
monthlyLevelsColorInput = input( BLUE, '', group = LEVELS_GROUP, inline = 'monthly')
showPremiumDiscountZonesInput = input( false, 'Premium/Discount Zones', group = ZONES_GROUP , tooltip = showPremiumDiscountZonesTooltip)
premiumZoneColorInput = input.color( RED, 'Premium Zone', group = ZONES_GROUP)
equilibriumZoneColorInput = input.color( GRAY, 'Equilibrium Zone', group = ZONES_GROUP)
discountZoneColorInput = input.color( GREEN, 'Discount Zone', group = ZONES_GROUP)
type alerts
bool internalBullishBOS = false
bool internalBearishBOS = false
bool internalBullishCHoCH = false
bool internalBearishCHoCH = false
bool swingBullishBOS = false
bool swingBearishBOS = false
bool swingBullishCHoCH = false
bool swingBearishCHoCH = false
bool internalBullishOrderBlock = false
bool internalBearishOrderBlock = false
bool swingBullishOrderBlock = false
bool swingBearishOrderBlock = false
bool equalHighs = false
bool equalLows = false
bool bullishFairValueGap = false
bool bearishFairValueGap = false
type trailingExtremes
float top
float bottom
int barTime
int barIndex
int lastTopTime
int lastBottomTime
type fairValueGap
float top
float bottom
int bias
box topBox
box bottomBox
type trend
int bias
type equalDisplay
line l_ine = na
label l_abel = na
type pivot
float currentLevel
float lastLevel
bool crossed
int barTime = time
int barIndex = bar_index
type orderBlock
float barHigh
float barLow
int barTime
int bias
// @variable current swing pivot high
var pivot swingHigh = pivot.new(na,na,false)
// @variable current swing pivot low
var pivot swingLow = pivot.new(na,na,false)
// @variable current internal pivot high
var pivot internalHigh = pivot.new(na,na,false)
// @variable current internal pivot low
var pivot internalLow = pivot.new(na,na,false)
// @variable current equal high pivot
var pivot equalHigh = pivot.new(na,na,false)
// @variable current equal low pivot
var pivot equalLow = pivot.new(na,na,false)
// @variable swing trend bias
var trend swingTrend = trend.new(0)
// @variable internal trend bias
var trend internalTrend = trend.new(0)
// @variable equal high display
var equalDisplay equalHighDisplay = equalDisplay.new()
// @variable equal low display
var equalDisplay equalLowDisplay = equalDisplay.new()
// @variable storage for fairValueGap UDTs
var array fairValueGaps = array.new()
// @variable storage for parsed highs
var array parsedHighs = array.new()
// @variable storage for parsed lows
var array parsedLows = array.new()
// @variable storage for raw highs
var array highs = array.new()
// @variable storage for raw lows
var array lows = array.new()
// @variable storage for bar time values
var array times = array.new()
// @variable last trailing swing high and low
var trailingExtremes trailing = trailingExtremes.new()
// @variable storage for orderBlock UDTs (swing order blocks)
var array swingOrderBlocks = array.new()
// @variable storage for orderBlock UDTs (internal order blocks)
var array internalOrderBlocks = array.new()
// @variable storage for swing order blocks boxes
var array swingOrderBlocksBoxes = array.new()
// @variable storage for internal order blocks boxes
var array internalOrderBlocksBoxes = array.new()
// @variable color for swing bullish structures
var swingBullishColor = styleInput == MONOCHROME ? MONO_BULLISH : swingBullColorInput
// @variable color for swing bearish structures
var swingBearishColor = styleInput == MONOCHROME ? MONO_BEARISH : swingBearColorInput
// @variable color for bullish fair value gaps
var fairValueGapBullishColor = styleInput == MONOCHROME ? color.new(MONO_BULLISH,70) : fairValueGapsBullColorInput
// @variable color for bearish fair value gaps
var fairValueGapBearishColor = styleInput == MONOCHROME ? color.new(MONO_BEARISH,70) : fairValueGapsBearColorInput
// @variable color for premium zone
var premiumZoneColor = styleInput == MONOCHROME ? MONO_BEARISH : premiumZoneColorInput
// @variable color for discount zone
var discountZoneColor = styleInput == MONOCHROME ? MONO_BULLISH : discountZoneColorInput
// @variable bar index on current script iteration
varip int currentBarIndex = bar_index
// @variable bar index on last script iteration
varip int lastBarIndex = bar_index
// @variable alerts in current bar
alerts currentAlerts = alerts.new()
// @variable time at start of chart
var initialTime = time
// we create the needed boxes for displaying order blocks at the first execution
if barstate.isfirst
if showSwingOrderBlocksInput
for index = 1 to swingOrderBlocksSizeInput
swingOrderBlocksBoxes.push(box.new(na,na,na,na,xloc = xloc.bar_time,extend = extend.right))
if showInternalOrderBlocksInput
for index = 1 to internalOrderBlocksSizeInput
internalOrderBlocksBoxes.push(box.new(na,na,na,na,xloc = xloc.bar_time,extend = extend.right))
// @variable source to use in bearish order blocks mitigation
bearishOrderBlockMitigationSource = orderBlockMitigationInput == CLOSE ? close : high
// @variable source to use in bullish order blocks mitigation
bullishOrderBlockMitigationSource = orderBlockMitigationInput == CLOSE ? close : low
// @variable default volatility measure
atrMeasure = ta.atr(200)
// @variable parsed volatility measure by user settings
volatilityMeasure = orderBlockFilterInput == ATR ? atrMeasure : ta.cum(ta.tr)/bar_index
// @variable true if current bar is a high volatility bar
highVolatilityBar = (high - low) >= (2 * volatilityMeasure)
// @variable parsed high
parsedHigh = highVolatilityBar ? low : high
// @variable parsed low
parsedLow = highVolatilityBar ? high : low
// we store current values into the arrays at each bar
parsedHighs.push(parsedHigh)
parsedLows.push(parsedLow)
highs.push(high)
lows.push(low)
times.push(time)
leg(int size) =>
var leg = 0
newLegHigh = high > ta.highest( size)
newLegLow = low < ta.lowest( size)
if newLegHigh
leg := BEARISH_LEG
else if newLegLow
leg := BULLISH_LEG
leg
startOfNewLeg(int leg) => ta.change(leg) != 0
startOfBearishLeg(int leg) => ta.change(leg) == -1
startOfBullishLeg(int leg) => ta.change(leg) == +1
drawLabel(int labelTime, float labelPrice, string tag, color labelColor, string labelStyle) =>
var label l_abel = na
if modeInput == PRESENT
l_abel.delete()
l_abel := label.new(chart.point.new(labelTime,na,labelPrice),tag,xloc.bar_time,color=color(na),textcolor=labelColor,style = labelStyle,size = size.small)
drawEqualHighLow(pivot p_ivot, float level, int size, bool equalHigh) =>
equalDisplay e_qualDisplay = equalHigh ? equalHighDisplay : equalLowDisplay
string tag = 'EQL'
color equalColor = swingBullishColor
string labelStyle = label.style_label_up
if equalHigh
tag := 'EQH'
equalColor := swingBearishColor
labelStyle := label.style_label_down
if modeInput == PRESENT
line.delete( e_qualDisplay.l_ine)
label.delete( e_qualDisplay.l_abel)
e_qualDisplay.l_ine := line.new(chart.point.new(p_ivot.barTime,na,p_ivot.currentLevel), chart.point.new(time ,na,level), xloc = xloc.bar_time, color = equalColor, style = line.style_dotted)
labelPosition = math.round(0.5*(p_ivot.barIndex + bar_index - size))
e_qualDisplay.l_abel := label.new(chart.point.new(na,labelPosition,level), tag, xloc.bar_index, color = color(na), textcolor = equalColor, style = labelStyle, size = equalHighsLowsSizeInput)
getCurrentStructure(int size,bool equalHighLow = false, bool internal = false) =>
currentLeg = leg(size)
newPivot = startOfNewLeg(currentLeg)
pivotLow = startOfBullishLeg(currentLeg)
pivotHigh = startOfBearishLeg(currentLeg)
if newPivot
if pivotLow
pivot p_ivot = equalHighLow ? equalLow : internal ? internalLow : swingLow
if equalHighLow and math.abs(p_ivot.currentLevel - low ) < equalHighsLowsThresholdInput * atrMeasure
drawEqualHighLow(p_ivot, low , size, false)
p_ivot.lastLevel := p_ivot.currentLevel
p_ivot.currentLevel := low
p_ivot.crossed := false
p_ivot.barTime := time
p_ivot.barIndex := bar_index
if not equalHighLow and not internal
trailing.bottom := p_ivot.currentLevel
trailing.barTime := p_ivot.barTime
trailing.barIndex := p_ivot.barIndex
trailing.lastBottomTime := p_ivot.barTime
if showSwingsInput and not internal and not equalHighLow
drawLabel(time , p_ivot.currentLevel, p_ivot.currentLevel < p_ivot.lastLevel ? 'LL' : 'HL', swingBullishColor, label.style_label_up)
else
pivot p_ivot = equalHighLow ? equalHigh : internal ? internalHigh : swingHigh
if equalHighLow and math.abs(p_ivot.currentLevel - high ) < equalHighsLowsThresholdInput * atrMeasure
drawEqualHighLow(p_ivot,high ,size,true)
p_ivot.lastLevel := p_ivot.currentLevel
p_ivot.currentLevel := high
p_ivot.crossed := false
p_ivot.barTime := time
p_ivot.barIndex := bar_index
if not equalHighLow and not internal
trailing.top := p_ivot.currentLevel
trailing.barTime := p_ivot.barTime
trailing.barIndex := p_ivot.barIndex
trailing.lastTopTime := p_ivot.barTime
if showSwingsInput and not internal and not equalHighLow
drawLabel(time , p_ivot.currentLevel, p_ivot.currentLevel > p_ivot.lastLevel ? 'HH' : 'LH', swingBearishColor, label.style_label_down)
drawStructure(pivot p_ivot, string tag, color structureColor, string lineStyle, string labelStyle, string labelSize) =>
var line l_ine = line.new(na,na,na,na,xloc = xloc.bar_time)
var label l_abel = label.new(na,na)
if modeInput == PRESENT
l_ine.delete()
l_abel.delete()
l_ine := line.new(chart.point.new(p_ivot.barTime,na,p_ivot.currentLevel), chart.point.new(time,na,p_ivot.currentLevel), xloc.bar_time, color=structureColor, style=lineStyle)
l_abel := label.new(chart.point.new(na,math.round(0.5*(p_ivot.barIndex+bar_index)),p_ivot.currentLevel), tag, xloc.bar_index, color=color(na), textcolor=structureColor, style=labelStyle, size = labelSize)
deleteOrderBlocks(bool internal = false) =>
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
for in orderBlocks
bool crossedOderBlock = false
if bearishOrderBlockMitigationSource > eachOrderBlock.barHigh and eachOrderBlock.bias == BEARISH
crossedOderBlock := true
if internal
currentAlerts.internalBearishOrderBlock := true
else
currentAlerts.swingBearishOrderBlock := true
else if bullishOrderBlockMitigationSource < eachOrderBlock.barLow and eachOrderBlock.bias == BULLISH
crossedOderBlock := true
if internal
currentAlerts.internalBullishOrderBlock := true
else
currentAlerts.swingBullishOrderBlock := true
if crossedOderBlock
orderBlocks.remove(index)
storeOrdeBlock(pivot p_ivot,bool internal = false,int bias) =>
if (not internal and showSwingOrderBlocksInput) or (internal and showInternalOrderBlocksInput)
array a_rray = na
int parsedIndex = na
if bias == BEARISH
a_rray := parsedHighs.slice(p_ivot.barIndex,bar_index)
parsedIndex := p_ivot.barIndex + a_rray.indexof(a_rray.max())
else
a_rray := parsedLows.slice(p_ivot.barIndex,bar_index)
parsedIndex := p_ivot.barIndex + a_rray.indexof(a_rray.min())
orderBlock o_rderBlock = orderBlock.new(parsedHighs.get(parsedIndex), parsedLows.get(parsedIndex), times.get(parsedIndex),bias)
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
if orderBlocks.size() >= 100
orderBlocks.pop()
orderBlocks.unshift(o_rderBlock)
drawOrderBlocks(bool internal = false) =>
array orderBlocks = internal ? internalOrderBlocks : swingOrderBlocks
orderBlocksSize = orderBlocks.size()
if orderBlocksSize > 0
maxOrderBlocks = internal ? internalOrderBlocksSizeInput : swingOrderBlocksSizeInput
array parsedOrdeBlocks = orderBlocks.slice(0, math.min(maxOrderBlocks,orderBlocksSize))
array b_oxes = internal ? internalOrderBlocksBoxes : swingOrderBlocksBoxes
for in parsedOrdeBlocks
orderBlockColor = styleInput == MONOCHROME ? (eachOrderBlock.bias == BEARISH ? color.new(MONO_BEARISH,80) : color.new(MONO_BULLISH,80)) : internal ? (eachOrderBlock.bias == BEARISH ? internalBearishOrderBlockColor : internalBullishOrderBlockColor) : (eachOrderBlock.bias == BEARISH ? swingBearishOrderBlockColor : swingBullishOrderBlockColor)
box b_ox = b_oxes.get(index)
b_ox.set_top_left_point( chart.point.new(eachOrderBlock.barTime,na,eachOrderBlock.barHigh))
b_ox.set_bottom_right_point(chart.point.new(last_bar_time,na,eachOrderBlock.barLow))
b_ox.set_border_color( internal ? na : orderBlockColor)
b_ox.set_bgcolor( orderBlockColor)
displayStructure(bool internal = false) =>
var bullishBar = true
var bearishBar = true
if internalFilterConfluenceInput
bullishBar := high - math.max(close, open) > math.min(close, open - low)
bearishBar := high - math.max(close, open) < math.min(close, open - low)
pivot p_ivot = internal ? internalHigh : swingHigh
trend t_rend = internal ? internalTrend : swingTrend
lineStyle = internal ? line.style_dashed : line.style_solid
labelSize = internal ? internalStructureSize : swingStructureSize
extraCondition = internal ? internalHigh.currentLevel != swingHigh.currentLevel and bullishBar : true
bullishColor = styleInput == MONOCHROME ? MONO_BULLISH : internal ? internalBullColorInput : swingBullColorInput
if ta.crossover(close,p_ivot.currentLevel) and not p_ivot.crossed and extraCondition
string tag = t_rend.bias == BEARISH ? CHOCH : BOS
if internal
currentAlerts.internalBullishCHoCH := tag == CHOCH
currentAlerts.internalBullishBOS := tag == BOS
else
currentAlerts.swingBullishCHoCH := tag == CHOCH
currentAlerts.swingBullishBOS := tag == BOS
p_ivot.crossed := true
t_rend.bias := BULLISH
displayCondition = internal ? showInternalsInput and (showInternalBullInput == ALL or (showInternalBullInput == BOS and tag != CHOCH) or (showInternalBullInput == CHOCH and tag == CHOCH)) : showStructureInput and (showSwingBullInput == ALL or (showSwingBullInput == BOS and tag != CHOCH) or (showSwingBullInput == CHOCH and tag == CHOCH))
if displayCondition
drawStructure(p_ivot,tag,bullishColor,lineStyle,label.style_label_down,labelSize)
if (internal and showInternalOrderBlocksInput) or (not internal and showSwingOrderBlocksInput)
storeOrdeBlock(p_ivot,internal,BULLISH)
p_ivot := internal ? internalLow : swingLow
extraCondition := internal ? internalLow.currentLevel != swingLow.currentLevel and bearishBar : true
bearishColor = styleInput == MONOCHROME ? MONO_BEARISH : internal ? internalBearColorInput : swingBearColorInput
if ta.crossunder(close,p_ivot.currentLevel) and not p_ivot.crossed and extraCondition
string tag = t_rend.bias == BULLISH ? CHOCH : BOS
if internal
currentAlerts.internalBearishCHoCH := tag == CHOCH
currentAlerts.internalBearishBOS := tag == BOS
else
currentAlerts.swingBearishCHoCH := tag == CHOCH
currentAlerts.swingBearishBOS := tag == BOS
p_ivot.crossed := true
t_rend.bias := BEARISH
displayCondition = internal ? showInternalsInput and (showInternalBearInput == ALL or (showInternalBearInput == BOS and tag != CHOCH) or (showInternalBearInput == CHOCH and tag == CHOCH)) : showStructureInput and (showSwingBearInput == ALL or (showSwingBearInput == BOS and tag != CHOCH) or (showSwingBearInput == CHOCH and tag == CHOCH))
if displayCondition
drawStructure(p_ivot,tag,bearishColor,lineStyle,label.style_label_up,labelSize)
if (internal and showInternalOrderBlocksInput) or (not internal and showSwingOrderBlocksInput)
storeOrdeBlock(p_ivot,internal,BEARISH)
fairValueGapBox(leftTime,rightTime,topPrice,bottomPrice,boxColor) => box.new(chart.point.new(leftTime,na,topPrice),chart.point.new(rightTime + fairValueGapsExtendInput * (time-time ),na,bottomPrice), xloc=xloc.bar_time, border_color = boxColor, bgcolor = boxColor)
deleteFairValueGaps() =>
for in fairValueGaps
if (low < eachFairValueGap.bottom and eachFairValueGap.bias == BULLISH) or (high > eachFairValueGap.top and eachFairValueGap.bias == BEARISH)
eachFairValueGap.topBox.delete()
eachFairValueGap.bottomBox.delete()
fairValueGaps.remove(index)
// @function draw fair value gaps
// @returns fairValueGap ID
drawFairValueGaps() =>
= request.security(syminfo.tickerid, fairValueGapsTimeframeInput, [close , open , time , high , low , time , high , low ],lookahead = barmerge.lookahead_on)
barDeltaPercent = (lastClose - lastOpen) / (lastOpen * 100)
newTimeframe = timeframe.change(fairValueGapsTimeframeInput)
threshold = fairValueGapsThresholdInput ? ta.cum(math.abs(newTimeframe ? barDeltaPercent : 0)) / bar_index * 2 : 0
bullishFairValueGap = currentLow > last2High and lastClose > last2High and barDeltaPercent > threshold and newTimeframe
bearishFairValueGap = currentHigh < last2Low and lastClose < last2Low and -barDeltaPercent > threshold and newTimeframe
if bullishFairValueGap
currentAlerts.bullishFairValueGap := true
fairValueGaps.unshift(fairValueGap.new(currentLow,last2High,BULLISH,fairValueGapBox(lastTime,currentTime,currentLow,math.avg(currentLow,last2High),fairValueGapBullishColor),fairValueGapBox(lastTime,currentTime,math.avg(currentLow,last2High),last2High,fairValueGapBullishColor)))
if bearishFairValueGap
currentAlerts.bearishFairValueGap := true
fairValueGaps.unshift(fairValueGap.new(currentHigh,last2Low,BEARISH,fairValueGapBox(lastTime,currentTime,currentHigh,math.avg(currentHigh,last2Low),fairValueGapBearishColor),fairValueGapBox(lastTime,currentTime,math.avg(currentHigh,last2Low),last2Low,fairValueGapBearishColor)))
getStyle(string style) =>
switch style
SOLID => line.style_solid
DASHED => line.style_dashed
DOTTED => line.style_dotted
drawLevels(string timeframe, bool sameTimeframe, string style, color levelColor) =>
= request.security(syminfo.tickerid, timeframe, [high , low , time , time],lookahead = barmerge.lookahead_on)
float parsedTop = sameTimeframe ? high : topLevel
float parsedBottom = sameTimeframe ? low : bottomLevel
int parsedLeftTime = sameTimeframe ? time : leftTime
int parsedRightTime = sameTimeframe ? time : rightTime
int parsedTopTime = time
int parsedBottomTime = time
if not sameTimeframe
int leftIndex = times.binary_search_rightmost(parsedLeftTime)
int rightIndex = times.binary_search_rightmost(parsedRightTime)
array timeArray = times.slice(leftIndex,rightIndex)
array topArray = highs.slice(leftIndex,rightIndex)
array bottomArray = lows.slice(leftIndex,rightIndex)
parsedTopTime := timeArray.size() > 0 ? timeArray.get(topArray.indexof(topArray.max())) : initialTime
parsedBottomTime := timeArray.size() > 0 ? timeArray.get(bottomArray.indexof(bottomArray.min())) : initialTime
var line topLine = line.new(na, na, na, na, xloc = xloc.bar_time, color = levelColor, style = getStyle(style))
var line bottomLine = line.new(na, na, na, na, xloc = xloc.bar_time, color = levelColor, style = getStyle(style))
var label topLabel = label.new(na, na, xloc = xloc.bar_time, text = str.format('P{0}H',timeframe), color=color(na), textcolor = levelColor, size = size.small, style = label.style_label_left)
var label bottomLabel = label.new(na, na, xloc = xloc.bar_time, text = str.format('P{0}L',timeframe), color=color(na), textcolor = levelColor, size = size.small, style = label.style_label_left)
topLine.set_first_point( chart.point.new(parsedTopTime,na,parsedTop))
topLine.set_second_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedTop))
topLabel.set_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedTop))
bottomLine.set_first_point( chart.point.new(parsedBottomTime,na,parsedBottom))
bottomLine.set_second_point(chart.point.new(last_bar_time + 20 * (time-time ),na,parsedBottom))
bottomLabel.set_point( chart.point.new(last_bar_time + 20 * (time-time ),na,parsedBottom))
higherTimeframe(string timeframe) => timeframe.in_seconds() > timeframe.in_seconds(timeframe)
updateTrailingExtremes() =>
trailing.top := math.max(high,trailing.top)
trailing.lastTopTime := trailing.top == high ? time : trailing.lastTopTime
trailing.bottom := math.min(low,trailing.bottom)
trailing.lastBottomTime := trailing.bottom == low ? time : trailing.lastBottomTime
drawHighLowSwings() =>
var line topLine = line.new(na, na, na, na, color = swingBearishColor, xloc = xloc.bar_time)
var line bottomLine = line.new(na, na, na, na, color = swingBullishColor, xloc = xloc.bar_time)
var label topLabel = label.new(na, na, color=color(na), textcolor = swingBearishColor, xloc = xloc.bar_time, style = label.style_label_down, size = size.tiny)
var label bottomLabel = label.new(na, na, color=color(na), textcolor = swingBullishColor, xloc = xloc.bar_time, style = label.style_label_up, size = size.tiny)
rightTimeBar = last_bar_time + 20 * (time - time )
topLine.set_first_point( chart.point.new(trailing.lastTopTime, na, trailing.top))
topLine.set_second_point( chart.point.new(rightTimeBar, na, trailing.top))
topLabel.set_point( chart.point.new(rightTimeBar, na, trailing.top))
topLabel.set_text( swingTrend.bias == BEARISH ? 'Strong High' : 'Weak High')
bottomLine.set_first_point( chart.point.new(trailing.lastBottomTime, na, trailing.bottom))
bottomLine.set_second_point(chart.point.new(rightTimeBar, na, trailing.bottom))
bottomLabel.set_point( chart.point.new(rightTimeBar, na, trailing.bottom))
bottomLabel.set_text( swingTrend.bias == BULLISH ? 'Strong Low' : 'Weak Low')
drawZone(float labelLevel, int labelIndex, float top, float bottom, string tag, color zoneColor, string style) =>
var label l_abel = label.new(na,na,text = tag, color=color(na),textcolor = zoneColor, style = style, size = size.small)
var box b_ox = box.new(na,na,na,na,bgcolor = color.new(zoneColor,80),border_color = color(na), xloc = xloc.bar_time)
b_ox.set_top_left_point( chart.point.new(trailing.barTime,na,top))
b_ox.set_bottom_right_point(chart.point.new(last_bar_time,na,bottom))
l_abel.set_point( chart.point.new(na,labelIndex,labelLevel))
// @function draw premium/discount zones
// @returns void
drawPremiumDiscountZones() =>
drawZone(trailing.top, math.round(0.5*(trailing.barIndex + last_bar_index)), trailing.top, 0.95*trailing.top + 0.05*trailing.bottom, 'Premium', premiumZoneColor, label.style_label_down)
equilibriumLevel = math.avg(trailing.top, trailing.bottom)
drawZone(equilibriumLevel, last_bar_index, 0.525*trailing.top + 0.475*trailing.bottom, 0.525*trailing.bottom + 0.475*trailing.top, 'Equilibrium', equilibriumZoneColorInput, label.style_label_left)
drawZone(trailing.bottom, math.round(0.5*(trailing.barIndex + last_bar_index)), 0.95*trailing.bottom + 0.05*trailing.top, trailing.bottom, 'Discount', discountZoneColor, label.style_label_up)
parsedOpen = showTrendInput ? open : na
candleColor = internalTrend.bias == BULLISH ? swingBullishColor : swingBearishColor
plotcandle(parsedOpen,high,low,close,color = candleColor, wickcolor = candleColor, bordercolor = candleColor)
if showHighLowSwingsInput or showPremiumDiscountZonesInput
updateTrailingExtremes()
if showHighLowSwingsInput
drawHighLowSwings()
if showPremiumDiscountZonesInput
drawPremiumDiscountZones()
if showFairValueGapsInput
deleteFairValueGaps()
getCurrentStructure(swingsLengthInput,false)
getCurrentStructure(5,false,true)
if showEqualHighsLowsInput
getCurrentStructure(equalHighsLowsLengthInput,true)
if showInternalsInput or showInternalOrderBlocksInput or showTrendInput
displayStructure(true)
if showStructureInput or showSwingOrderBlocksInput or showHighLowSwingsInput
displayStructure()
if showInternalOrderBlocksInput
deleteOrderBlocks(true)
if showSwingOrderBlocksInput
deleteOrderBlocks()
if showFairValueGapsInput
drawFairValueGaps()
if barstate.islastconfirmedhistory or barstate.islast
if showInternalOrderBlocksInput
drawOrderBlocks(true)
if showSwingOrderBlocksInput
drawOrderBlocks()
lastBarIndex := currentBarIndex
currentBarIndex := bar_index
newBar = currentBarIndex != lastBarIndex
if barstate.islastconfirmedhistory or (barstate.isrealtime and newBar)
if showDailyLevelsInput and not higherTimeframe('D')
drawLevels('D',timeframe.isdaily,dailyLevelsStyleInput,dailyLevelsColorInput)
if showWeeklyLevelsInput and not higherTimeframe('W')
drawLevels('W',timeframe.isweekly,weeklyLevelsStyleInput,weeklyLevelsColorInput)
if showMonthlyLevelsInput and not higherTimeframe('M')
drawLevels('M',timeframe.ismonthly,monthlyLevelsStyleInput,monthlyLevelsColorInput)
xATR = ta.atr(c)
nLoss = a * xATR
src = h ? request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, close, lookahead = barmerge.lookahead_off) : close
xATRTrailingStop = 0.0
iff_1 = src > nz(xATRTrailingStop , 0) ? src - nLoss : src + nLoss
iff_2 = src < nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? math.min(nz(xATRTrailingStop ), src + nLoss) : iff_1
xATRTrailingStop := src > nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? math.max(nz(xATRTrailingStop ), src - nLoss) : iff_2
pos = 0
iff_3 = src > nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? -1 : nz(pos , 0)
pos := src < nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? 1 : iff_3
xcolor = pos == -1 ? color.red : pos == 1 ? color.green : color.blue
ema = ta.ema(src, 1)
above = ta.crossover(ema, xATRTrailingStop)
below = ta.crossover(xATRTrailingStop, ema)
buy = src > xATRTrailingStop and above
sell = src < xATRTrailingStop and below
barbuy = src > xATRTrailingStop
barsell = src < xATRTrailingStop
//---------------------------------------------------------------------------------------------------------------------}
//ALERTS
//---------------------------------------------------------------------------------------------------------------------{
alertcondition(currentAlerts.internalBullishBOS, 'Internal Bullish BOS', 'Internal Bullish BOS formed')
alertcondition(currentAlerts.internalBullishCHoCH, 'Internal Bullish CHoCH', 'Internal Bullish CHoCH formed')
alertcondition(currentAlerts.internalBearishBOS, 'Internal Bearish BOS', 'Internal Bearish BOS formed')
alertcondition(currentAlerts.internalBearishCHoCH, 'Internal Bearish CHoCH', 'Internal Bearish CHoCH formed')
alertcondition(currentAlerts.swingBullishBOS, 'Bullish BOS', 'Internal Bullish BOS formed')
alertcondition(currentAlerts.swingBullishCHoCH, 'Bullish CHoCH', 'Internal Bullish CHoCH formed')
alertcondition(currentAlerts.swingBearishBOS, 'Bearish BOS', 'Bearish BOS formed')
alertcondition(currentAlerts.swingBearishCHoCH, 'Bearish CHoCH', 'Bearish CHoCH formed')
alertcondition(currentAlerts.internalBullishOrderBlock, 'Bullish Internal OB Breakout', 'Price broke bullish internal OB')
alertcondition(currentAlerts.internalBearishOrderBlock, 'Bearish Internal OB Breakout', 'Price broke bearish internal OB')
alertcondition(currentAlerts.swingBullishOrderBlock, 'Bullish Swing OB Breakout', 'Price broke bullish swing OB')
alertcondition(currentAlerts.swingBearishOrderBlock, 'Bearish Swing OB Breakout', 'Price broke bearish swing OB')
alertcondition(currentAlerts.equalHighs, 'Equal Highs', 'Equal highs detected')
alertcondition(currentAlerts.equalLows, 'Equal Lows', 'Equal lows detected')
alertcondition(currentAlerts.bullishFairValueGap, 'Bullish FVG', 'Bullish FVG formed')
alertcondition(currentAlerts.bearishFairValueGap, 'Bearish FVG', 'Bearish FVG formed')
alertcondition(buy, 'UT Long', 'UT Long')
alertcondition(sell, 'UT Short', 'UT Short')
plotshape(buy, title = 'Buy', text = 'Buy', style = shape.labelup, location = location.belowbar, color = color.new(color.green, 0), textcolor = color.new(color.white, 0), size = size.tiny)
plotshape(sell, title = 'Sell', text = 'Sell', style = shape.labeldown, location = location.abovebar, color = color.new(color.red, 0), textcolor = color.new(color.white, 0), size = size.tiny)
//--------------------------------------------------------------------------------------
// EMA ADDITIONS (Editable)
//--------------------------------------------------------------------------------------
ema5Len = input.int(5, "5 EMA Length", minval = 1)
ema9Len = input.int(9, "9 EMA Length", minval = 1)
ema5 = ta.ema(src, ema5Len)
ema9 = ta.ema(src, ema9Len)
plot(ema5, "EMA 5", color = color.red, linewidth = 2)
plot(ema9, "EMA 9", color = color.blue, linewidth = 2)
barcolor(barbuy ? color.green : na)
barcolor(barsell ? color.red : na)
Humble Student OB/OS Trifecta indicatorAfter reading Cam Hui's blog post about his "Trifecta" bottom spotting model I thought I'd try my hand at scripting it as an indicator. The results are pretty close to what he describes. Though the data TradingView feeds me doesn't seem to be identical to what he's using on StockCharts.com the results are close enough that I will call the effort a success worth publishing.
Lorentzian Harmonic Flow - Adaptive ML⚡ LORENTZIAN HARMONIC FLOW — ADAPTIVE ML COMPLETE SYSTEM
THEORETICAL FOUNDATION: TEMPORAL RELATIVITY MEETS MACHINE LEARNING
The Lorentzian Harmonic Flow Adaptive ML system represents a paradigm shift in technical analysis by addressing a fundamental limitation that plagues traditional indicators: they assume time flows uniformly across all market conditions. In reality, markets experience time compression during volatile breakouts and time dilation during consolidation. A 50-period moving average calculated during a quiet overnight session captures vastly different market information than the same calculation during a high-volume news event.
This indicator solves this problem through Lorentzian spacetime modeling , borrowed directly from Einstein's special relativity. By calculating a dynamic gamma factor (γ) that measures market velocity relative to a volatility-based "speed of light," every calculation adapts its effective lookback period to the market's intrinsic clock. Combined with a dual-memory architecture, multi-regime detection, and Bayesian strategy selection, this creates a system that genuinely learns which approaches work in which market conditions.
CRITICAL DISTINCTION: TRUE ADAPTIVE LEARNING VS STATIC CLASSIFICATION
Before diving into the system architecture, it's essential to understand how this indicator fundamentally differs from traditional "Lorentzian" implementations, particularly the well-known Lorentzian Classification indicator.
THE ORIGINAL LORENTZIAN CLASSIFICATION APPROACH:
The pioneering Lorentzian Classification indicator (Jdehorty, 2022) introduced the financial community to Lorentzian distance metrics for pattern matching. However, it used offline training methodology :
• External Training: Required Python scripts or external ML tools to train the model on historical data
• Static Model: Once trained, the model parameters remained fixed
• No Real-Time Learning: The indicator classified patterns but didn't learn from outcomes
• Look-Ahead Bias Risk: Offline training could inadvertently use future data
• Manual Retraining: To adapt to new market conditions, users had to retrain externally and reload parameters
This was groundbreaking for bringing ML concepts to Pine Script, but it wasn't truly adaptive. The model was a snapshot—trained once, deployed, static.
THIS SYSTEM: TRUE ONLINE LEARNING
The Lorentzian Harmonic Flow Adaptive ML system represents a complete architectural departure :
✅ FULLY SELF-CONTAINED:
• Zero External Dependencies: No Python scripts, no external training tools, no data exports
• 100% Pine Script: Entire learning pipeline executes within TradingView
• One-Click Deployment: Load indicator, it begins learning immediately
• No Manual Configuration: System builds its own training data in real-time
✅ GENUINE FORWARD-WALK LEARNING:
• Real-Time Adaptation: Every trade outcome updates the model
• Forward-Only Logic: System uses only past confirmed data—zero look-ahead bias
• Continuous Evolution: Parameters adapt bar-by-bar based on rolling performance
• Regime-Specific Memory: Learns which patterns work in which conditions independently
✅ GETS BETTER WITH TIME:
• Week 1: Bootstrap mode—gathering initial data across regimes
• Month 2-3: Statistical significance emerges, parameter adaptation begins
• Month 4+: Mature learning, regime-specific optimization, confident selection
• Year 2+: Deep pattern library, proven parameter sets, robust to regime shifts
✅ NO RETRAINING REQUIRED:
• Automatic Adaptation: When market structure changes, system detects via performance degradation
• Memory Refresh: Old patterns naturally decay, new patterns replace them
• Parameter Evolution: Thresholds and multipliers adjust to current conditions
• Regime Awareness: If new regime emerges, enters bootstrap mode automatically
THE FUNDAMENTAL DIFFERENCE:
Traditional Lorentzian Classification:
"Here are patterns from the past. Current state matches pattern X, which historically preceded move Y. Signal fired."
→ Static knowledge, fixed rules, periodic retraining required
LHF Adaptive ML:
"In Trending Bull regime, Strategy B has 58% win rate and 1.4 Sharpe over last 30 trades. In High Vol Range, Strategy C performs better with 61% win rate and 1.8 Sharpe. Current state is Trending Bull, so I select Strategy B. If Strategy B starts failing, I'll adapt parameters or switch strategies. I'm learning which patterns matter in which contexts, and I improve every trade."
→ Dynamic learning, contextual adaptation, self-improving system
WHY THIS MATTERS:
Markets are non-stationary. A model trained on 2023 data may fail in 2024 when Fed policy shifts, volatility regime changes, or market structure evolves. Static models require constant human intervention—retraining, re-optimization, parameter updates.
This system learns continuously . It doesn't need you to tell it when markets changed. It discovers regime shifts through performance feedback, adapts parameters accordingly, and rebuilds its pattern library organically. The system running in Month 12 is fundamentally smarter than the system in Month 1—not because you retrained it, but because it learned from 1,000+ real outcomes.
This is the difference between pattern recognition (static ML) and reinforcement learning (adaptive ML). One classifies, the other learns and improves.
PART 1: LORENTZIAN TEMPORAL DYNAMICS
Markets don't experience time uniformly. During explosive volatility, price can compress weeks of movement into minutes. During consolidation, time dilates. Traditional indicators ignore this, using fixed periods regardless of market state.
The Lorentzian approach models market time using the Lorentz factor from special relativity:
γ = 1 / √(1 - v²/c²)
Where:
• v (velocity): Trend momentum normalized by ATR, calculated as (close - close ) / (N × ATR)
• c (speed limit): Realized volatility + volatility bursts, multiplied by c_multiplier parameter
• γ (gamma): Time dilation factor that compresses or expands effective lookback periods
When trend velocity approaches the volatility "speed limit," gamma spikes above 1.0, compressing time. Every calculation length becomes: base_period / γ. This creates shorter, more responsive periods during explosive moves and longer, more stable periods during quiet consolidation.
The system raises gamma to an optional power (gamma_power parameter) for fine control over compression strength, then applies this temporal scaling to every calculation in the indicator. This isn't metaphor—it's quantitative adaptation to the market's intrinsic clock.
PART 2: LORENTZIAN KERNEL SMOOTHING
Traditional moving averages use uniform weights (SMA) or exponential decay (EMA). The Lorentzian kernel uses heavy-tailed weighting:
K(distance, γ) = 1 / (1 + (distance/γ)²)
This Cauchy-like distribution gives more influence to recent extremes than Gaussian assumptions suggest, capturing the fat-tailed nature of financial returns. For any calculation requiring smoothing, the system loops through historical bars, computes Lorentzian kernel weights based on temporal distance and current gamma, then produces weighted averages.
This creates adaptive smoothing that responds to local volatility structure rather than imposing rigid assumptions about price distribution.
PART 3: HARMONIC FLOW (Multi-Timeframe Momentum)
The core directional signal comes from Harmonic Flow (HFL) , which blends three gamma-compressed Lorentzian smooths:
• Short Horizon: base_period × short_ratio / γ (default: 34 × 0.5 / γ ≈ 17 bars, faster with high γ)
• Mid Horizon: base_period × mid_ratio / γ (default: 34 × 1.0 / γ ≈ 34 bars, anchor timeframe)
• Long Horizon: base_period × long_ratio / γ (default: 34 × 2.5 / γ ≈ 85 bars, structural trend)
Each produces a Lorentzian-weighted smooth, converted to a z-score (distance from smooth normalized by ATR). These z-scores are then weighted-averaged:
HFL = (w_short × z_short + w_mid × z_mid + w_long × z_long) / (w_short + w_mid + w_long)
Default weights (0.45, 0.35, 0.20) favor recent momentum while respecting longer structure. Scalpers can increase short weight; swing traders can emphasize long weight. The result is a directional momentum indicator that captures multi-timeframe flow in compressed time.
From HFL, the system derives:
• Flow Velocity: HFL - HFL (momentum acceleration)
• Flow Acceleration: Second derivative (turning points)
• Temporal Compression Index (TCI): base_period / compressed_length (shows how much time is compressed)
PART 4: DUAL MEMORY ARCHITECTURE
Markets have memory—current conditions resonate with past regimes. But memory operates on two timescales, inspiring this indicator's dual-memory design:
SHORT-TERM MEMORY (STM):
• Capacity: 100 patterns (configurable 50-200)
• Decay Rate: 0.980 (50% weight after ~35 bars)
• Update Frequency: Every 10 bars
• Purpose: Capture current regime's tactical patterns
• Storage: Recent market states with 10-bar forward outcomes
• Analogy: Hippocampus (rapid encoding, fast fade)
LONG-TERM MEMORY (LTM):
• Capacity: 512 patterns (configurable 256-1024)
• Decay Rate: 0.997 (50% weight after ~230 bars)
• Quality Gate: Only high-quality patterns admitted (adaptive threshold per regime)
• Purpose: Strategic pattern library validated across regimes
• Storage: Validated patterns from weeks/months of history
• Analogy: Neocortex (slow consolidation, persistent storage)
Each memory stores 6-dimensional feature vectors:
1. HFL (harmonic flow strength)
2. Flow Velocity (momentum)
3. Flow Acceleration (turning points)
4. Volatility (realized vol EMA)
5. Entropy (market uncertainty)
6. Gamma (time compression state)
Plus the actual outcome (10-bar forward return).
K-NEAREST NEIGHBORS (KNN) PATTERN MATCHING:
When evaluating current market state, the system queries both memories using Lorentzian distance :
distance = Σ (1 - K(|feature_current - feature_memory|, γ))
This calculates similarity across all 6 dimensions using the same Lorentzian kernel, weighted by current gamma. The system finds K nearest neighbors (default: 8), weights each by:
• Similarity: Lorentzian kernel distance
• Age: Exponential decay based on bars since pattern
• Regime: Only patterns from similar regimes count
The weighted average of these neighbors' outcomes becomes the prediction. High-confidence predictions require both high similarity and agreement between multiple neighbors.
REGIME-AWARE BLENDING:
STM and LTM predictions are blended adaptively:
• High Vol Range regime: Trust STM 70% (recent matters in chaos)
• Trending regimes: Trust LTM 70% (structure matters in trends)
• Normal regimes: 50/50 blend
Agreement metric: When STM and LTM strongly disagree, the system flags low confidence—often indicating regime transition or novel market conditions requiring caution.
PART 5: FIVE-REGIME MARKET CLASSIFICATION
Traditional regime detection stops at "trending vs ranging." This system detects five distinct market states using linear regression slope and volatility analysis:
REGIME 0: TRENDING BULL ↗
• Detection: LR slope > trend_threshold (default: 0.3)
• Characteristics: Sustained positive HFL, elevated gamma, low entropy
• Best Strategy: B (Flow Momentum)
• Trading Behavior: Follow momentum, trail stops, pyramid winners
REGIME 1: TRENDING BEAR ↘
• Detection: LR slope < -trend_threshold
• Characteristics: Sustained negative HFL, elevated gamma, low entropy
• Best Strategy: B (Flow Momentum)
• Trading Behavior: Follow momentum short, aggressive exits on reversal
REGIME 2: HIGH VOL RANGE ↔
• Detection: |slope| < threshold AND vol_ratio > vol_expansion_threshold (default: 1.5)
• Characteristics: Oscillating HFL, high gamma spikes, high entropy
• Best Strategies: A (Squeeze Breakout) or C (Memory Pattern)
• Trading Behavior: Fade extremes, tight stops, quick profits
REGIME 3: LOW VOL RANGE —
• Detection: |slope| < threshold AND vol_ratio < vol_expansion_threshold
• Characteristics: Low HFL magnitude, gamma ≈ 1, squeeze conditions
• Best Strategy: A (Squeeze Breakout)
• Trading Behavior: Wait for breakout, wide stops on breakout entry
REGIME 4: TRANSITION ⚡
• Detection: Trend reversal OR volatility spike > 1.5× threshold
• Characteristics: Erratic gamma, high entropy, conflicting signals
• Best Strategy: None (often unfavorable)
• Trading Behavior: Stand aside, wait for clarity
Each regime gets a confidence score (0-1) measuring how clearly defined it is. Low confidence indicates messy, ambiguous conditions.
PART 6: THREE INDEPENDENT TRADING STRATEGIES
Rather than one signal logic, the system implements three distinct approaches:
STRATEGY A: SQUEEZE BREAKOUT
• Logic: Bollinger Bands squeeze release + HFL direction + flow velocity confirmation
• Calculation: Compares BB width to Keltner Channel width; fires when BB expands beyond KC
• Strength Score: 70 + compression_strength × 0.3 (tighter squeeze = higher score)
• Best Regimes: Low Vol Range (3), Transition exit (4→0 or 4→1)
• Pattern: Volatility contraction → directional expansion
• Philosophy: Calm before the storm; compression precedes explosion
STRATEGY B: LORENTZIAN FLOW MOMENTUM
• Logic: Strong HFL (×flow_mult) + positive velocity + gamma > 1.1 + NOT squeezing
• Calculation: |HFL × flow_mult| > 0.12, velocity confirms direction, gamma shows acceleration
• Strength Score: |HFL × flow_mult| × 80 + gamma × 10
• Best Regimes: Trending Bull (0), Trending Bear (1)
• Pattern: Established momentum → acceleration in compressed time
• Philosophy: Trend is friend when spacetime curves
STRATEGY C: MEMORY PATTERN MATCHING
• Logic: Dual KNN prediction > threshold + high confidence + agreement + HFL confirms
• Calculation: |memory_pred| > 0.005, memory_conf > 1.0, agreement > 0.5, HFL direction matches
• Strength Score: |prediction| × 800 × agreement
• Best Regimes: High Vol Range (2), sometimes others with sufficient pattern library
• Pattern: Historical similarity → outcome resonance
• Philosophy: Markets rhyme; learn from validated patterns
Each strategy generates independent strength scores. In multi-strategy mode (enabled by default), the system selects one strategy per regime based on risk-adjusted performance. In weighted mode (multi-strategy disabled), all three fire simultaneously with configurable weights.
PART 7: ADAPTIVE LEARNING & BAYESIAN SELECTION
This is where machine learning meets trading. The system maintains 15 independent performance matrices :
3 strategies × 5 regimes = 15 tracking systems
For each combination, it tracks:
• Trade Count: Number of completed trades
• Win Count: Profitable outcomes
• Total Return: Sum of percentage returns
• Squared Returns: For variance/Sharpe calculation
• Equity Curve: Virtual P&L assuming 10% risk per trade
• Peak Equity: All-time high for drawdown calculation
• Max Drawdown: Peak-to-trough decline
RISK-ADJUSTED SCORING:
For current regime, the system scores each strategy:
Sharpe Ratio: (mean_return / std_dev) × √252
Calmar Ratio: total_return / max_drawdown
Win Rate: wins / trades
Combined Score = 0.6 × Sharpe + 0.3 × Calmar + 0.1 × Win_Rate
The strategy with highest score is selected. This is similar to Thompson Sampling (multi-armed bandits) but uses deterministic selection rather than probabilistic sampling due to Pine Script limitations.
BOOTSTRAP MODE (Critical for Understanding):
For the first min_regime_samples trades (default: 10) in each regime:
• Status: "🔥 BOOTSTRAP (X/10)" displayed in dashboard
• Behavior: All signals allowed (gathering data)
• Regime Filter: Disabled (can't judge with insufficient data)
• Purpose: Avoid cold-start problem, build statistical foundation
After reaching threshold:
• Status: "✅ FAVORABLE" (score > 0.5) or "⚠️ UNFAVORABLE" (score ≤ 0.5)
• Behavior: Only trade favorable regimes (if enable_regime_filter = true)
• Learning: Parameters adapt based on outcomes
This solves a critical problem: you can't know which strategy works in a regime without data, but you can't get data without trading. Bootstrap mode gathers initial data safely, then switches to selective mode once statistical confidence emerges.
PARAMETER ADAPTATION (Per Regime):
Three parameters adapt independently for each regime based on outcomes:
1. SIGNAL QUALITY THRESHOLD (30-90):
• Starts: base_quality_threshold (default: 60)
• Adaptation:
Win Rate < 45% → RAISE threshold by learning_rate × 10 (be pickier)
Win Rate > 55% → LOWER threshold by learning_rate × 5 (take more)
• Effect: System becomes more selective in losing regimes, more aggressive in winning regimes
2. LTM QUALITY GATE (0.2-0.8):
• Starts: 0.4 (if adaptive gate enabled)
• Adaptation:
Sharpe < 0.5 → RAISE gate by learning_rate (demand better patterns)
Sharpe > 1.5 → LOWER gate by learning_rate × 0.5 (accept more patterns)
• Effect: LTM fills with high-quality patterns from winning regimes
3. FLOW MULTIPLIER (0.5-2.0):
• Starts: 1.0
• Adaptation:
Strong win (+2%+) → MULTIPLY by (1 + learning_rate × 0.1)
Strong loss (-2%+) → MULTIPLY by (1 - learning_rate × 0.1)
• Effect: Amplifies signal strength in profitable regimes, dampens in unprofitable
Each regime evolves independently. Trending Bull might develop threshold=55, gate=0.35, mult=1.3 while High Vol Range develops threshold=70, gate=0.50, mult=0.9.
PART 8: SHADOW PORTFOLIO VALIDATION
To validate learning objectively, the system runs three virtual portfolios :
Shadow Portfolio A: Trades only Strategy A signals
Shadow Portfolio B: Trades only Strategy B signals
Shadow Portfolio C: Trades only Strategy C signals
When any signal fires:
1. Open virtual position for corresponding strategy
2. On exit, calculate P&L (10% risk per trade)
3. Update equity, win count, profit factor
Dashboard displays:
• Equity: Current virtual balance (starts $10,000)
• Win%: Overall win rate across all regimes
• PF: Profit Factor (gross_profit / gross_loss)
This transparency shows which strategies actually perform, validates the selection logic, and prevents overfitting. If Shadow C shows $12,500 equity while A and B show $9,800, it confirms Strategy C's edge.
PART 9: HISTORICAL PRE-TRAINING
The system includes historical pre-training to avoid cold-start:
On Chart Load (if enabled):
1. Scan past pretrain_bars (default: 200)
2. Calculate historical HFL, gamma, velocity, acceleration, volatility, entropy
3. Compute 10-bar forward returns as outcomes
4. Populate STM with recent patterns
5. Populate LTM with high-quality patterns (quality > 0.4)
Effect:
• Without pre-training: Memories empty, no predictions for weeks, pure bootstrap
• With pre-training: System starts with pattern library, predictions from day one
Pre-training uses only past data (no future peeking) and fills memories with validated outcomes. This dramatically accelerates learning without compromising integrity.
PART 10: COMPREHENSIVE INPUT SYSTEM
The indicator provides 50+ inputs organized into logical groups. Here are the key parameters and their market-specific guidance:
🧠 ADAPTIVE LEARNING SYSTEM:
Enable Adaptive Learning (true/false):
• Function: Master switch for regime-specific strategy selection and parameter adaptation
• Enabled: System learns which strategies work in which regimes (recommended)
• Disabled: All strategies fire simultaneously with fixed weights (simpler, less adaptive)
• Recommendation: Keep enabled for all markets; system needs 2-3 months to mature
Learning Rate (0.01-0.20):
• Function: Speed of parameter adaptation based on outcomes
• Stocks/ETFs: 0.03-0.05 (slower, more stable)
• Crypto: 0.05-0.08 (faster, adapts to volatility)
• Forex: 0.04-0.06 (moderate)
• Timeframes:
1-5min scalping: 0.08-0.10 (rapid adaptation)
15min-1H day trading: 0.05-0.07 (balanced)
4H-Daily swing: 0.03-0.05 (conservative)
• Tradeoff: Higher = responsive but may overfit; Lower = stable but slower to adapt
Min Samples Per Regime (5-30):
• Function: Trades required before exiting bootstrap mode
• Active trading (>5 signals/day): 8-10 trades
• Moderate (1-5 signals/day): 10-15 trades
• Swing (few signals/week): 5-8 trades
• Logic: Bootstrap mode until this threshold; then uses Sharpe/Calmar for regime filtering
• Tradeoff: Lower = faster exit (risky, less data); Higher = more validation (safer, slower)
🌍 REGIME DETECTION:
Regime Lookback Period (20-200):
• Function: Bars used for linear regression to classify regime
• By Timeframe:
1-5min: 30-50 bars (~2-4 hour context)
15min: 40-60 bars (daily context)
1H: 50-100 bars (weekly context)
4H: 100-150 bars (monthly context)
Daily: 50-75 bars (quarterly context)
• By Market:
Crypto: 40-60 (faster regime changes)
Forex: 50-75 (moderate stability)
Stocks: 60-100 (slower structural trends)
• Tradeoff: Shorter = more regime switches (reactive); Longer = fewer switches (stable)
Trend Strength Threshold (0.1-0.8):
• Function: Minimum normalized LR slope to classify as trending vs ranging
• Lower (0.1-0.2): More markets classified as trending
• Higher (0.4-0.6): Only strong trends qualify
• Recommendations:
Choppy markets (BTC, small caps): 0.25-0.35
Smooth trends (major FX pairs): 0.30-0.40
Strong trends (indices during bull): 0.20-0.30
• Effect: Controls sensitivity of trending vs ranging classification
Vol Expansion Factor (1.2-3.0):
• Function: Volatility ratio to classify high-vol regimes (current_vol / avg_vol)
• By Asset:
Bitcoin: 1.4-1.6 (frequent vol spikes)
Altcoins: 1.3-1.5 (very volatile)
Major FX (EUR/USD): 1.6-2.0 (stable baseline)
Stocks (SPY): 1.5-1.8 (moderate)
Penny stocks: 1.3-1.4 (always volatile)
• Impact: Higher = fewer "High Vol Range" classifications; Lower = more sensitive to volatility spikes
🎯 SIGNAL GENERATION:
Base Quality Threshold (30-90):
• Function: Starting signal strength requirement (adapts per regime)
• THIS IS YOUR MAIN SIGNAL FREQUENCY CONTROL
• Conservative (70-80): Fewer, higher-quality signals
• Balanced (55-65): Moderate signal flow
• Aggressive (40-50): More signals, more noise
• By Trading Style:
Scalping (1-5min): 50-60
Day trading (15min-1H): 60-70
Swing (4H-Daily): 65-75
• Adaptive Behavior: System raises this in losing regimes (pickier), lowers in winning regimes (take more)
Min Confidence (0.1-0.9):
• Function: Minimum confidence score to fire signal
• Calculation: (Signal_Strength / 100) × Regime_Confidence
• Recommendations:
High-frequency (scalping): 0.2-0.3 (permissive)
Day trading: 0.3-0.4 (balanced)
Swing/position: 0.4-0.6 (selective)
• Interaction: During Transition regime (low regime confidence), even strong signals may fail confidence check; creates natural regime filtering
Only Trade Favorable Regimes (true/false):
• Function: Block signals in unfavorable regimes (where all strategies have negative risk-adjusted scores)
• Enabled (Recommended): Only trades when best strategy has positive Sharpe in current regime; auto-disables during bootstrap; protects capital
• Disabled: Always allows signals regardless of historical performance; use for manual regime assessment
• Bootstrap: Auto-allows trading until min_regime_samples reached, then switches to performance-based filtering
Min Bars Between Signals (1-20):
• Function: Prevents signal spam by enforcing minimum spacing
• By Timeframe:
1min: 3-5 bars (3-5 minutes)
5min: 3-6 bars (15-30 minutes)
15min: 4-8 bars (1-2 hours)
1H: 5-10 bars (5-10 hours)
4H: 3-6 bars (12-24 hours)
Daily: 2-5 bars (2-5 days)
• Logic: After signal fires, no new signals for X bars
• Tradeoff: Lower = more reactive (may overtrade); Higher = more patient (may miss reversals)
🌀 LORENTZIAN CORE:
Base Period (10-100):
• Function: Core time period for flow calculation (gets compressed by gamma)
• THIS IS YOUR PRIMARY TIMEFRAME KNOB
• By Timeframe:
1-5min scalping: 20-30 (fast response)
15min-1H day: 30-40 (balanced)
4H swing: 40-55 (smooth)
Daily position: 50-75 (very smooth)
• By Market Character:
Choppy (crypto, small caps): 25-35 (faster)
Smooth (major FX, indices): 35-50 (moderate)
Slow (bonds, utilities): 45-65 (slower)
• Gamma Effect: Actual length = base_period / gamma; High gamma compresses to ~20 bars, low gamma expands to ~50 bars
• Default 34 (Fibonacci) works well across most assets
Velocity Period (5-50):
• Function: Window for trend velocity calculation: (price_now - price ) / (N × ATR)
• By Timeframe:
1-5min scalping: 8-12 (fast momentum)
15min-1H day: 12-18 (balanced)
4H swing: 14-21 (smooth trend)
Daily: 18-30 (structural trend)
• By Market:
Crypto (fast moves): 10-14
Stocks (moderate): 14-20
Forex (smooth): 18-25
• Impact: Feeds into gamma calculation (v/c ratio); shorter = more sensitive to velocity spikes → higher gamma
• Relationship: Typically vel_period ≈ base_period / 2 to 2/3
Speed-of-Market (c) (0.5-3.0):
• Function: "Speed limit" for gamma calculation: c = realized_vol + vol_burst × c_multiplier
• By Asset Volatility:
High vol (BTC, TSLA): 1.0-1.3 (lower c = more compression)
Medium vol (SPY, EUR/USD): 1.3-1.6 (balanced)
Low vol (bonds, utilities): 1.6-2.5 (higher c = less compression)
• What It Does:
Lower c → velocity hits "speed limit" sooner → higher gamma → more compression
Higher c → velocity rarely hits limit → gamma stays near 1 → less adaptation
• Effect on Signals: More compression (low c) = faster regime detection, more responsive; Less compression (high c) = smoother, less adaptive
• Tuning: Start at 1.4; if gamma always ~1.0, lower to 1.0-1.2; if gamma spikes >5 often, raise to 1.6-2.0
Gamma Power (0.5-2.0):
• Function: Exponent applied to gamma: final_gamma = gamma^power
• Compression Strength:
0.5-0.8: Softens compression (gamma 4 → 2)
1.0: Linear (gamma 4 → 4)
1.2-2.0: Amplifies compression (gamma 4 → 16)
• Use Cases:
Reduce power (<1.0) if adaptive lengths swing too wildly or getting whipsawed
Increase power (>1.0) for more aggressive regime adaptation in fast markets
• Most users should leave at 1.0; only adjust if gamma behavior needs tuning
Max Kernel Lookback (20-200):
• Function: Computational limit for Lorentzian smoothing (performance control)
• Recommendations:
Fast PC / simple chart: 80-100
Slow PC / complex chart: 40-60
Mobile / lots of indicators: 30-50
• Impact: Each kernel smoothing loops through this many bars; higher = more accurate but slower
• Default 60 balances accuracy and speed; lower to 40-50 if indicator is slow
🎼 HARMONIC FLOW:
Short Horizon (0.2-1.0):
• Function: Fast timeframe multiplier: short_length = base_period × short_ratio / gamma
• Default: 0.5 (captures 2× faster flow than base)
• By Style:
Scalping: 0.3-0.4 (very fast)
Day trading: 0.4-0.6 (moderate)
Swing: 0.5-0.7 (balanced)
• Effect: Lower = more weight on micro-moves; Higher = smooths out fast fluctuations
Mid Horizon (0.5-2.0):
• Function: Medium timeframe multiplier: mid_length = base_period × mid_ratio / gamma
• Default: 1.0 (equals base_period, anchor timeframe)
• Usually keep at 1.0 unless specific strategy needs fine-tuning
Long Horizon (1.0-5.0):
• Function: Slow timeframe multiplier: long_length = base_period × long_ratio / gamma
• Default: 2.5 (captures trend/structure)
• By Style:
Scalping: 1.5-2.0 (less long-term influence)
Day trading: 2.0-3.0 (balanced)
Swing: 2.5-4.0 (strong trend component)
• Effect: Higher = more emphasis on larger structure; Lower = more reactive to recent price action
Short Weight (0-1):
Mid Weight (0-1):
Long Weight (0-1):
• Function: Relative importance in HFL calculation (should sum to 1.0)
• Defaults: Short: 0.45, Mid: 0.35, Long: 0.20 (day trading balanced)
• Preset Configurations:
SCALPING (fast response):
Short: 0.60, Mid: 0.30, Long: 0.10
DAY TRADING (balanced):
Short: 0.45, Mid: 0.35, Long: 0.20
SWING (trend-following):
Short: 0.25, Mid: 0.35, Long: 0.40
• Effect: More short weight = responsive but noisier; More long weight = smoother but laggier
🧠 DUAL MEMORY SYSTEM:
Enable Pattern Memory (true/false):
• Function: Master switch for KNN pattern matching via dual memory
• Enabled (Recommended): Strategy C (Memory Pattern) can fire; memory predictions influence all strategies; prediction arcs shown; heatmaps available
• Disabled: Only Strategy A and B available; faster performance (less computation); pure technical analysis (no pattern matching)
• Keep enabled for full system capabilities; disable only if CPU-constrained or testing pure flow signals
STM Size (50-200):
• Function: Short-Term Memory capacity (recent pattern storage)
• Characteristics: Fast decay (0.980), captures current regime, updates every 10 bars, tactical pattern matching
• Sizing:
Active markets (crypto): 80-120
Moderate (stocks): 100-150
Slow (bonds): 50-100
• By Timeframe:
1-15min: 60-100 (captures few hours of patterns)
1H: 80-120 (captures days)
4H-Daily: 100-150 (captures weeks/months)
• Tradeoff: More = better recent pattern coverage; Less = faster computation
• Default 100 is solid for most use cases
LTM Size (256-1024):
• Function: Long-Term Memory capacity (validated pattern storage)
• Characteristics: Slow decay (0.997), only high-quality patterns (gated), regime-specific recall, strategic pattern library
• Sizing:
Fast PC: 512-768
Medium PC: 384-512
Slow PC/Mobile: 256-384
• By Data Needs:
High-frequency (lots of patterns): 512-1024
Moderate activity: 384-512
Low-frequency (swing): 256-384
• Performance Impact: Each KNN search loops through entire LTM; 512 = good balance of coverage and speed; if slow, drop to 256-384
• Fills over weeks/months with validated patterns
STM Decay (0.95-0.995):
• Function: Short-Term Memory age decay rate: age_weight = decay^bars_since_pattern
• Decay Rates:
0.950: Aggressive fade (50% weight after 14 bars)
0.970: Moderate fade (50% after 23 bars)
0.980: Balanced (50% after 35 bars)
0.990: Slow fade (50% after 69 bars)
• By Timeframe:
1-5min: 0.95-0.97 (fast markets, old patterns irrelevant)
15min-1H: 0.97-0.98 (balanced)
4H-Daily: 0.98-0.99 (slower decay)
• Philosophy: STM should emphasize RECENT patterns; lower decay = only very recent matters; 0.980 works well for most cases
LTM Decay (0.99-0.999):
• Function: Long-Term Memory age decay rate
• Decay Rates:
0.990: 50% weight after 69 bars
0.995: 50% weight after 138 bars
0.997: 50% weight after 231 bars
0.999: 50% weight after 693 bars
• Philosophy: LTM should retain value for LONG periods; pattern from 6 months ago might still matter
• Usage:
Fast-changing markets: 0.990-0.995
Stable markets: 0.995-0.998
Structural patterns: 0.998-0.999
• Warning: Be careful with very high decay (>0.998); market structure changes, old patterns may mislead
• 0.997 balances long-term memory with regime evolution
K Neighbors (3-21):
• Function: Number of similar patterns to query in KNN search
• By Sample Size:
Small dataset (<100 patterns): 3-5
Medium dataset (100-300): 5-8
Large dataset (300-1000): 8-13
Very large (>1000): 13-21
• Tradeoff:
Fewer K (3-5): More reactive to closest matches; noisier; outlier-sensitive; better when patterns very distinct
More K (13-21): Smoother, more stable predictions; may dilute strong signals; better when patterns overlap
• Rule of Thumb: K ≈ √(memory_size) / 3; For STM=100, LTM=512: K ≈ 8-10 ideal
Adaptive Quality Gate (true/false):
• Function: Adapts LTM entry threshold per regime based on Sharpe ratio
• Enabled: Quality gate adapts: Low Sharpe → RAISE gate (demand better patterns); High Sharpe → LOWER gate (accept more patterns); each regime has independent gate
• Disabled: Fixed quality gate (0.4 default) for all regimes
• Recommended: Keep ENABLED; helps LTM focus on proven pattern types per regime; prevents weak patterns from polluting memory
🎯 MULTI-STRATEGY SYSTEM:
Enable Strategy Learning (true/false):
• Function: Core learning feature for regime-specific strategy selection
• Enabled: Tracks 3 strategies × 5 regimes = 15 performance matrices; selects best strategy per regime via Sharpe/Calmar/WinRate; adaptive strategy switching
• Disabled: All strategies fire simultaneously (weighted combination); no regime-specific selection; simpler but less adaptive
• Recommended: ENABLED (this is the core of the adaptive system); disable only for testing or simplification
Strategy A Weight (0-1):
• Function: Weight for Strategy A (Squeeze Breakout) when multi-strategy disabled
• Characteristics: Fires on Bollinger squeeze release; best in Low Vol Range, Transition; compression → expansion pattern
• When Multi-Strategy OFF: Default 0.33 (equal weight); increase to 0.4-0.5 for choppy ranges with breakouts; decrease to 0.2-0.3 for trending markets
• When Multi-Strategy ON: This is ignored (system auto-selects based on performance)
Strategy B Weight (0-1):
• Function: Weight for Strategy B (Lorentzian Flow) when multi-strategy disabled
• Characteristics: Fires on strong HFL + velocity + gamma; best in Trending Bull/Bear; momentum → acceleration pattern
• When Multi-Strategy OFF: Default 0.33; increase to 0.4-0.5 for trending markets; decrease to 0.2-0.3 for choppy/ranging markets
• When Multi-Strategy ON: Ignored (auto-selected)
Strategy C Weight (0-1):
• Function: Weight for Strategy C (Memory Pattern) when multi-strategy disabled
• Characteristics: Fires when dual KNN predicts strong move; best in High Vol Range; requires memory system enabled + sufficient data
• When Multi-Strategy OFF: Default 0.34; increase to 0.4-0.6 if strong pattern repetition and LTM has >200 patterns; decrease to 0.2-0.3 if new to system; set to 0.0 if memory disabled
• When Multi-Strategy ON: Ignored (auto-selected)
📚 PRE-TRAINING:
Historical Pre-Training (true/false):
• Function: Bootstrap feature that fills memory on chart load
• Enabled: Scans past bars to populate STM/LTM before live trading; calculates historical outcomes (10-bar forward returns); builds initial pattern library; system starts with context, not blank slate
• Disabled: Memories only populate in real-time; takes weeks to build pattern library
• Recommended: ENABLED (critical for avoiding "cold start" problem); disable only for testing clean learning
Training Bars (50-500):
• Function: How many historical bars to scan on load (limited by available history)
• Recommendations:
1-5min charts: 200-300 (few hours of history)
15min-1H: 200-400 (days/weeks)
4H: 300-500 (months)
Daily: 200-400 (years)
• Performance:
100 bars: ~1 second
300 bars: ~2-3 seconds
500 bars: ~4-5 seconds
• Sweet Spot: 200-300 (enough patterns without slow load)
• If chart loads slowly: Reduce to 100-150
🎨 VISUALIZATION:
Show Regime Background (true/false):
• Function: Color-code background by current regime
• Colors: Trending Bull (green tint), Trending Bear (red tint), High Vol Range (orange tint), Low Vol Range (blue tint), Transition (purple tint)
• Helps visually track regime changes
Show Flow Bands (true/false):
• Function: Plot upper/lower bands based on HFL strength
• Shows dynamic support/resistance zones; green fill = bullish flow; red fill = bearish flow
• Useful for visual trend confirmation
Show Confidence Meter (true/false):
• Function: Plot signal confidence (0-100) in separate pane
• Calculation: (Signal_Strength / 100) × Regime_Confidence
• Gold line = current confidence; dashed line = minimum threshold
• Signals fire when confidence exceeds threshold
Show Prediction Arc (true/false):
• Function: Dashed line projecting expected price move based on memory prediction
• NOT a price target - a probability vector; steep arc = strong expected move; flat arc = weak/uncertain prediction
• Green = bullish prediction; red = bearish prediction
Show Signals (true/false):
• Function: Triangle markers at entry points
• ▲ Green = Long signal; ▼ Red = Short signal
• Markers show on bar close (non-repainting)
🏆 DASHBOARD:
Show Dashboard (true/false):
• Function: Main info panel showing all system metrics
• Sections: Lorentzian Core, Regime, Dual Memory, Adaptive Parameters, Regime Performance, Shadow Portfolios, Current Signal Status
• Essential for understanding system state
Dashboard Position: Top Left, Top Right, Bottom Left, Bottom Right
Individual Section Toggles:
• System Stats: Lorentzian Core section (Gamma, v/c, HFL, TCI)
• Memory Stats: Dual Memory section (STM/LTM predictions, agreement)
• Shadow Portfolios: Shadow Portfolio table (equity, win%, PF)
• Adaptive Params: Adaptive Parameters section (threshold, quality gate, flow mult)
🔥 HEATMAPS:
Show Dual Heatmaps (true/false):
• Function: Visual pattern density maps for STM and LTM
• Layout: X-axis = pattern age (left=recent, right=old); Y-axis = outcome direction (top=bearish, bottom=bullish); Color intensity = pattern count; Color hue = bullish (green) vs bearish (red)
• Warning: Can clutter chart; disable if not using
Heatmap Position: Screen position for heatmaps (STM at selected position, LTM offset)
Resolution (5-15):
• Function: Grid resolution (bins)
• Higher = more detailed but smaller cells; Lower = clearer but less granular
• 10 is good balance; reduce to 6-8 if hard to read
PART 11: DASHBOARD METRICS EXPLAINED
The comprehensive dashboard provides real-time transparency into every aspect of the adaptive system:
⚡ LORENTZIAN CORE SECTION:
Gamma (γ):
• Range: 1.0 to ~10.0 (capped)
• Interpretation:
γ ≈ 1.0-1.2: Normal market time, low velocity
γ = 1.5-2.5: Moderate compression, trending
γ = 3.0-5.0: High compression, explosive moves
γ > 5.0: Extreme compression, parabolic volatility
• Usage: High gamma = system operating in compressed time; expect shorter effective periods and faster adaptation
v/c (Velocity / Speed Limit):
• Range: 0.0 to 0.999 (approaches but never reaches 1.0)
• Interpretation:
v/c < 0.3: Slow market, low momentum
v/c = 0.4-0.7: Moderate trending
v/c > 0.7: Approaching "speed limit," high velocity
v/c > 0.9: Parabolic move, system at limit
• Color Coding: Red (>0.7), Gold (0.4-0.7), Green (<0.4)
• Usage: High v/c warns of extreme conditions where trend may exhaust
HFL (Harmonic Flow):
• Range: Typically -3.0 to +3.0 (can exceed in extremes)
• Interpretation:
HFL > 0: Bullish flow
HFL < 0: Bearish flow
|HFL| > 0.5: Strong directional bias
|HFL| < 0.2: Weak, indecisive
• Color: Green (positive), Red (negative)
• Usage: Primary directional indicator; strategies often require HFL confirmation
TCI (Temporal Compression Index):
• Calculation: base_period / compressed_length
• Interpretation:
TCI ≈ 1.0: No compression, normal time
TCI = 1.5-2.5: Moderate compression
TCI > 3.0: Significant compression
• Usage: Shows how much time is being compressed; mirrors gamma but more intuitive
╔═══ REGIME SECTION ═══╗
Current:
• Display: Regime name with icon (Trending Bull ↗, Trending Bear ↘, High Vol Range ↔, Low Vol Range —, Transition ⚡)
• Color: Gold for visibility
• Usage: Know which regime you're in; check regime performance to see expected strategy behavior
Confidence:
• Range: 0-100%
• Interpretation:
>70%: Very clear regime definition
40-70%: Moderate clarity
<40%: Ambiguous, mixed conditions
• Color: Green (>70%), Gold (40-70%), Red (<40%)
• Usage: High confidence = trust regime classification; low confidence = regime may be transitioning
Mode:
• States:
🔥 BOOTSTRAP (X/10): Still gathering data for this regime
✅ FAVORABLE: Best strategy has positive risk-adjusted score (>0.5)
⚠️ UNFAVORABLE: All strategies have negative scores (≤0.5)
• Color: Orange (bootstrap), Green (favorable), Red (unfavorable)
• Critical Importance: This tells you whether the system will trade or stand aside (if regime filter enabled)
╔═══ DUAL MEMORY KNN SECTION ═══╗
STM (Size):
• Display: Number of patterns currently in STM (0 to stm_size)
• Interpretation: Should fill to capacity within hours/days; if not filling, check that memory is enabled
STM Pred:
• Range: Typically -0.05 to +0.05 (representing -5% to +5% expected 10-bar move)
• Color: Green (positive), Red (negative)
• Usage: STM's prediction based on recent patterns; emphasis on current regime
LTM (Size):
• Display: Number of patterns in LTM (0 to ltm_size)
• Interpretation: Fills slowly (weeks/months); only validated high-quality patterns; check quality gate if not filling
LTM Pred:
• Range: Similar to STM pred
• Color: Green (positive), Red (negative)
• Usage: LTM's prediction based on long-term validated patterns; more strategic than tactical
Agreement:
• Display:
✅ XX%: Strong agreement (>70%) - both memories aligned
⚠️ XX%: Moderate agreement (40-70%) - some disagreement
❌ XX%: Conflict (<40%) - memories strongly disagree
• Color: Green (>70%), Gold (40-70%), Red (<40%)
• Critical Usage: Low agreement often precedes regime change or signals novel conditions; Strategy C won't fire with low agreement
╔═══ ADAPTIVE PARAMS SECTION ═══╗
Threshold:
• Display: Current regime's signal quality threshold (30-90)
• Interpretation: Higher = pickier; lower = more permissive
• Watch For: If steadily rising in a regime, system is struggling (low win rate); if falling, system is confident
• Default: Starts at base_quality_threshold (usually 60)
Quality:
• Display: Current regime's LTM quality gate (0.2-0.8)
• Interpretation: Minimum quality score for pattern to enter LTM
• Watch For: If rising, system demanding higher-quality patterns; if falling, accepting more diverse patterns
• Default: Starts at 0.4
Flow Mult:
• Display: Current regime's flow multiplier (0.5-2.0)
• Interpretation: Amplifies or dampens HFL for Strategy B
• Watch For: If >1.2, system found strong edge in flow signals; if <0.8, flow signals underperforming
• Default: Starts at 1.0
Learning:
• Display: ✅ ON or ❌ OFF
• Shows whether adaptive learning is enabled
• Color: Green (on), Red (off)
╔═══ REGIME PERFORMANCE SECTION ═══╗
This table shows ONLY the current regime's statistics:
S (Strategy):
• Display: A, B, or C
• Color: Gold if selected strategy; gray if not
• Shows which strategies have data in this regime
Trades:
• Display: Number of completed trades for this pair
• Interpretation: Blank or low numbers mean bootstrap mode; >10 means statistical significance building
Win%:
• Display: Win rate percentage
• Color: Green (>55%), White (45-55%), Red (<45%)
• Interpretation: 52%+ is good; 58%+ is excellent; <45% means struggling
• Note: Short-term variance is normal; judge after 20+ trades
Sharpe:
• Display: Annualized Sharpe ratio
• Color: Green (>1.0), White (0-1.0), Red (<0)
• Interpretation:
>2.0: Exceptional (rare)
1.0-2.0: Good
0.5-1.0: Acceptable
0-0.5: Marginal
<0: Losing
• Usage: Primary metric for strategy selection (60% weight in score)
╔═══ SHADOW PORTFOLIOS SECTION ═══╗
Shows virtual equity tracking across ALL regimes (not just current):
S (Strategy):
• Display: A, B, or C
• Color: Gold if currently selected strategy; gray otherwise
Equity:
• Display: Current virtual balance (starts $10,000)
• Color: Green (>$10,000), White ($9,500-$10,000), Red (<$9,500)
• Interpretation: Which strategy is actually making virtual money across all conditions
• Note: 10% risk per trade assumed
Win%:
• Display: Overall win rate across all regimes
• Color: Green (>55%), White (45-55%), Red (<45%)
• Interpretation: Aggregate performance; strategy may do well in some regimes and poorly in others
PF (Profit Factor):
• Display: Gross profit / gross loss
• Color: Green (>1.5), White (1.0-1.5), Red (<1.0)
• Interpretation:
>2.0: Excellent
1.5-2.0: Good
1.2-1.5: Acceptable
1.0-1.2: Marginal
<1.0: Losing
• Usage: Confirms win rate; high PF with moderate win rate means winners >> losers
╔═══ STATUS BAR ═══╗
Display States:
• 🟢 LONG: Currently in long position (green background)
• 🔴 SHORT: Currently in short position (red background)
• ⬆️ LONG SIGNAL: Long signal present but not yet confirmed (waiting for bar close)
• ⬇️ SHORT SIGNAL: Short signal present but not yet confirmed
• ⚪ NEUTRAL: No position, no signal (white background)
Usage: Immediate visual confirmation of system state; check before manually entering/exiting
PART 12: VISUAL ELEMENT INTERPRETATION
REGIME BACKGROUND COLORS:
Green Tint: Trending Bull regime - expect Strategy B (Flow) to dominate; focus on long momentum
Red Tint: Trending Bear regime - expect Strategy B (Flow) shorts; focus on short momentum
Orange Tint: High Vol Range - expect Strategy A (Squeeze) or C (Memory); trade breakouts or patterns
Blue Tint: Low Vol Range - expect Strategy A (Squeeze); wait for compression release
Purple Tint: Transition regime - often unfavorable; system may stand aside; high uncertainty
Usage: Quick visual regime identification without reading dashboard
FLOW BANDS:
Upper Band: close + HFL × ATR × 1.5
Lower Band: close - HFL × ATR × 1.5
Green Fill: HFL positive (bullish flow); bands act as dynamic support/resistance in uptrend
Red Fill: HFL negative (bearish flow); bands act as dynamic resistance/support in downtrend
Usage:
• Bullish flow: Price bouncing off lower band = trend continuation; breaking below = possible reversal
• Bearish flow: Price rejecting upper band = trend continuation; breaking above = possible reversal
CONFIDENCE METER (Separate Pane):
Gold Line: Current signal confidence (0-100)
Dashed Line: Minimum confidence threshold
Interpretation:
• Line above threshold: Signal likely to fire if strength sufficient
• Line below threshold: Even if signal logic met, won't fire (insufficient confidence)
• Gradual rise: Signal building strength
• Sharp spike: Sudden conviction (check if sustainable)
Usage: Real-time signal probability; helps anticipate upcoming entries
PREDICTION ARC:
Dashed Line: Projects from current close to expected price 8 bars forward
Green Arc: Bullish memory prediction
Red Arc: Bearish memory prediction
Steep Arc: High conviction (strong expected move)
Flat Arc: Low conviction (weak/uncertain move)
Important: NOT a price target; this is a probability vector based on KNN outcomes; actual price may differ
Usage: Directional bias from pattern matching; confirms or contradicts flow signals
SIGNAL MARKERS:
▲ Green Triangle (below bar):
• Long signal confirmed on bar close
• Entry on next bar open
• Non-repainting (appears after bar closes)
▼ Red Triangle (above bar):
• Short signal confirmed on bar close
• Entry on next bar open
• Non-repainting
Size: Tiny (unobtrusive)
Text: "L" or "S" in marker
Usage: Historical signal record; alerts should fire on these; verify against dashboard status
DUAL HEATMAPS (If Enabled):
STM HEATMAP:
• X-axis: Pattern age (left = recent, right = older, typically 0-50 bars)
• Y-axis: Outcome direction (top = bearish outcomes, bottom = bullish outcomes)
• Color Intensity: Brightness = pattern count in that cell
• Color Hue: Green tint (bullish), Red tint (bearish), Gray (neutral)
Interpretation:
• Dense bottom-left: Many recent bullish patterns (bullish regime)
• Dense top-left: Many recent bearish patterns (bearish regime)
• Scattered: Mixed outcomes, ranging regime
• Empty areas: Few patterns (low data)
LTM HEATMAP:
• Similar layout but X-axis spans wider age range (0-500+ bars)
• Shows long-term pattern distribution
• Denser = more validated patterns
Comparison Usage:
• If STM and LTM heatmaps look similar: Current regime matches historical patterns (high agreement)
• If STM bottom-heavy but LTM top-heavy: Recent bullish activity contradicts historical bearish patterns (low agreement, transition signal)
PART 13: DEVELOPMENT STORY
The creation of the Lorentzian Harmonic Flow Adaptive ML system represents over six months of intensive research, mathematical exploration, and iterative refinement. What began as a theoretical investigation into applying special relativity to market time evolved into a complete adaptive learning framework.
THE CHALLENGE:
The fundamental problem was this: markets don't experience time uniformly, yet every indicator treats a 50-period calculation the same whether markets are exploding or sleeping. Traditional adaptive indicators adjust parameters based on volatility, but this is reactive—by the time you measure high volatility, the explosive move is over. What was needed was a framework that measured the market's intrinsic velocity relative to its own structural limits, then compressed time itself proportionally.
THE LORENTZIAN INSIGHT:
Einstein's special relativity provides exactly this framework through the Lorentz factor. When an object approaches the speed of light, time dilates—but from the object's reference frame, it experiences time compression. By treating price velocity as analogous to relativistic velocity and volatility structure as the "speed limit," we could calculate a gamma factor that compressed lookback periods during explosive moves.
The mathematics were straightforward in theory but devilishly complex in implementation. Pine Script has no native support for dynamically-sized arrays or recursive functions, forcing creative workarounds. The Lorentzian kernel smoothing required nested loops through historical bars, calculating kernel weights on the fly—a computational nightmare. Early versions crashed or produced bizarre artifacts (negative gamma values, infinite loops during volatility spikes).
Optimization took weeks. Limiting kernel lookback to 60 bars while still maintaining smoothing quality. Pre-calculating gamma once per bar and reusing it across all calculations. Caching intermediate results. The final implementation balances mathematical purity with computational reality.
THE MEMORY ARCHITECTURE:
With temporal compression working, the next challenge was pattern memory. Simple moving average systems have no memory—they forget yesterday's patterns immediately. But markets are non-stationary; what worked last month may not work today. The solution: dual-memory architecture inspired by cognitive neuroscience.
Short-Term Memory (STM) would capture tactical patterns—the hippocampus of the system. Fast encoding, fast decay, always current. Long-Term Memory (LTM) would store validated strategic patterns—the neocortex. Slow consolidation, persistent storage, regime-spanning wisdom.
The KNN implementation nearly broke me. Calculating Lorentzian distance across 6 dimensions for 500+ patterns per query, applying age decay, filtering by regime, finding K nearest neighbors without native sorting functions—all while maintaining sub-second execution. The breakthrough came from realizing we could use destructive sorting (marking found neighbors as "infinite distance") rather than maintaining separate data structures.
Pre-training was another beast. To populate memory with historical patterns, the system needed to scan hundreds of past bars, calculate forward outcomes, and insert patterns—all on chart load without timing out. The solution: cap at 200 bars, optimize loops, pre-calculate features. Now it works seamlessly.
THE REGIME DETECTION:
Five-regime classification emerged from empirical observation. Traditional trending/ranging dichotomy missed too much nuance. Markets have at least four distinct states: trending up, trending down, volatile range, quiet range—plus a chaotic transition state. Linear regression slope quantifies trend; volatility ratio quantifies expansion; combining them creates five natural clusters.
But classification is useless without regime-specific learning. That meant tracking 15 separate performance matrices (3 strategies × 5 regimes), computing Sharpe ratios and Calmar ratios for sparse data, implementing Bayesian-like strategy selection. The bootstrap mode logic alone took dozens of iterations—too strict and you never get data, too permissive and you blow up accounts during learning.
THE ADAPTIVE LAYER:
Parameter adaptation was conceptually elegant but practically treacherous. Each regime needed independent thresholds, quality gates, and multipliers that adapted based on outcomes. But naive gradient descent caused oscillations—win a few trades, lower threshold, take worse signals, lose trades, raise threshold, miss good signals. The solution: exponential smoothing via learning rate (α) and separate scoring for selection vs adaptation.
Shadow portfolios provided objective validation. By running virtual accounts for all strategies simultaneously, we could see which would have won even when not selected. This caught numerous bugs where selection logic was sound but execution was flawed, or vice versa.
THE DASHBOARD & VISUALIZATION:
A learning system is useless if users can't understand what it's doing. The dashboard went through five complete redesigns. Early versions were information dumps—too much data, no hierarchy, impossible to scan. The final version uses visual hierarchy (section headers, color coding, strategic whitespace) and progressive disclosure (show current regime first, then performance, then parameters).
The dual heatmaps were a late addition but proved invaluable for pattern visualization. Seeing STM cluster in one corner while LTM distributed broadly immediately signals regime novelty. Traders grasp this visually faster than reading disagreement percentages.
THE TESTING GAUNTLET:
Testing adaptive systems is uniquely challenging. Static backtest results mean nothing—the system should improve over time. Early "tests" showed abysmal performance because bootstrap periods were included. The breakthrough: measure pre-learning baseline vs post-learning performance. A system going from 48% win rate (first 50 trades) to 56% win rate (trades 100-200) is succeeding even if absolute performance seems modest.
Edge cases broke everything repeatedly. What happens when a regime never appears in historical data? When all strategies fail simultaneously? When memory fills with only bearish patterns during a bull run? Each required careful handling—bootstrap modes, forced diversification, quality gates.
THE DOCUMENTATION:
This isn't an indicator you throw on a chart with default settings and trade immediately. It's a learning system that requires understanding. The input tooltips alone contain over 10,000 words of guidance—market-specific recommendations, timeframe-specific settings, tradeoff explanations. Every parameter needed not just a description but a philosophical justification and practical tuning guide.
The code comments span 500+ lines explaining theory, implementation decisions, edge cases. Future maintainers (including myself in six months) need to understand not just what the code does but why certain approaches were chosen over alternatives.
WHAT ALMOST DIDN'T WORK:
The entire project nearly collapsed twice. First, when initial Lorentzian smoothing produced complete noise—hours of debugging revealed a simple indexing error where I was accessing instead of in the kernel loop. One character, entire system broken.
Second, when memory predictions showed zero correlation with outcomes. Turned out the KNN distance metric was dominated by the gamma dimension (values 1-10) drowning out normalized features (values -1 to 1). Solution: apply kernel transformation to all dimensions, not just final distance. Obvious in retrospect, maddening at the time.
THE PHILOSOPHY:
This system embodies a specific philosophy: markets are learnable but non-stationary. No single strategy works forever, but regime-specific patterns persist. Time isn't uniform, memory isn't perfect, prediction isn't possible—but probabilistic edges exist for those willing to track them rigorously.
It rejects the premise that indicators should give universal advice. Instead, it says: "In this regime, based on similar past states, Strategy B has a 58% win rate and 1.4 Sharpe. Strategy A has 45% and 0.2 Sharpe. I recommend B. But we're still in bootstrap for Strategy C, so I'm gathering data. Check back in 5 trades."
That humility—knowing what it knows and what it doesn't—is what makes it robust.
PART 14: PROFESSIONAL USAGE PROTOCOL
PHASE 1: DEPLOYMENT (Week 1-4)
Initial Setup:
1. Load indicator on primary trading chart with default settings
2. Verify historical pre-training enabled (should see ~200 patterns in STM/LTM on first load)
3. Enable all dashboard sections for maximum transparency
4. Set alerts but DO NOT trade real money
Observation Checklist:
• Dashboard Validation:
✓ Lorentzian Core shows reasonable gamma (1-5 range, not stuck at 1.0 or spiking to 10)
✓ HFL oscillates with price action (not flat or random)
✓ Regime classifications make intuitive sense
✓ Confidence scores vary appropriately
• Memory System:
✓ STM fills within first few hours/days of real-time bars
✓ LTM grows gradually (few patterns per day, quality-gated)
✓ Predictions show directional bias (not always 0.0)
✓ Agreement metric fluctuates with regime changes
• Bootstrap Tracking:
✓ Dashboard shows "🔥 BOOTSTRAP (X/10)" for each regime
✓ Trade counts increment on regime-specific signals
✓ Different regimes reach threshold at different rates
Paper Trading:
• Take EVERY signal (ignore unfavorable warnings during bootstrap)
• Log each trade: entry price, regime, selected strategy, outcome
• Calculate your actual P&L assuming proper risk management (1-2% risk per trade)
• Do NOT judge system performance yet—focus on understanding behavior
Troubleshooting:
• No signals for days:
- Check base_quality_threshold (try lowering to 50-55)
- Verify enable_regime_filter not blocking all regimes
- Confirm signal confidence threshold not too high (try 0.25)
• Signals every bar:
- Raise base_quality_threshold to 65-70
- Increase min_bars_between to 8-10
- Check if gamma spiking excessively (raise c_multiplier)
• Memory not filling:
- Confirm enable_memory = true
- Verify historical pre-training completed (check STM size after load)
- May need to wait 10 bars for first real-time update
PHASE 2: VALIDATION (Week 5-12)
Statistical Emergence:
By week 5-8, most regimes should exit bootstrap. Look for:
✓ Regime Performance Clarity:
- At least 2-3 strategies showing positive Sharpe in their favored regimes
- Clear separation (Strategy B strong in Trending, Strategy A strong in Low Vol Range, etc.)
- Win rates stabilizing around 50-60% for winning strategies
✓ Shadow Portfolio Divergence:
- Virtual portfolios showing clear winners ($10K → $11K+) and losers ($10K → $9K-)
- Profit factors >1.3 for top strategy
- System selection aligning with best shadow portfolio
✓ Parameter Adaptation:
- Thresholds varying per regime (not stuck at initial values)
- Quality gates adapting (some regimes higher, some lower)
- Flow multipliers showing regime-specific optimization
Validation Questions:
1. Do patterns make intuitive sense?
- Strategy B (Flow) dominating Trending Bull/Bear? ✓ Expected
- Strategy A (Squeeze) succeeding in Low Vol Range? ✓ Expected
- Strategy C (Memory) working in High Vol Range? ✓ Expected
- Random strategy winning everywhere? ✗ Problem
2. Is unfavorable filtering working?
- Regimes with negative Sharpe showing "⚠️ UNFAVORABLE"? ✓ System protecting capital
- Transition regime often unfavorable? ✓ Expected
- All regimes perpetually unfavorable? ✗ Settings too strict or asset unsuitable
3. Are memories agreeing appropriately?
- High agreement during stable regimes? ✓ Expected
- Low agreement during transitions? ✓ Expected (novel conditions)
- Perpetual conflict? ✗ Check memory sizes or decay rates
Fine-Tuning (If Needed):
Too Many Signals in Losing Regimes:
→ Increase learning_rate to 0.07-0.08 (faster adaptation)
→ Raise base_quality_threshold by 5-10 points
→ Enable regime filter if disabled
Missing Profitable Setups:
→ Lower base_quality_threshold by 5-10 points
→ Reduce min_confidence to 0.25-0.30
→ Check if bootstrap mode blocking trades (let it complete)
Excessive Parameter Swings:
→ Reduce learning_rate to 0.03-0.04
→ Increase min_regime_samples to 15-20 (more data before adaptation)
Memory Disagreement Too Frequent:
→ Increase LTM size to 768-1024 (broader pattern library)
→ Lower adaptive_quality_gate requirement (allow more patterns)
→ Increase K neighbors to 10-12 (smoother predictions)
PHASE 3: LIVE TRADING (Month 4+)
Pre-Launch Checklist:
1. ✓ At least 3 regimes show positive Sharpe (>0.8)
2. ✓ Top shadow portfolio shows >53% win rate and >1.3 profit factor
3. ✓ Parameters have stabilized (not changing more than 10% per month)
4. ✓ You understand every dashboard metric and can explain regime/strategy behavior
5. ✓ You have proper risk management plan independent of this system
Position Sizing:
Conservative (Recommended for Month 4-6):
• Risk per trade: 0.5-1.0% of account
• Max concurrent positions: 1-2
• Total exposure: 10-25% of intended full size
Moderate (Month 7-12):
• Risk per trade: 1.0-1.5% of account
• Max concurrent positions: 2-3
• Total exposure: 25-50% of intended size
Full Scale (Year 2+):
• Risk per trade: 1.5-2.0% of account
• Max concurrent positions: 3-5
• Total exposure: 100% (still following risk limits)
Entry Execution:
On Signal Confirmation:
1. Verify dashboard shows signal type (▲ LONG or ▼ SHORT)
2. Check regime mode (avoid if "⚠️ UNFAVORABLE" unless testing)
3. Note selected strategy (A/B/C) and its regime Sharpe
4. Verify memory agreement if Strategy C selected (want >60%)
Entry Method:
• Market entry: Next bar open after signal (for exact backtest replication)
• Limit entry: Slight improvement (2-3 ticks) if confident in direction
Stop Loss Placement:
• Strategy A (Squeeze): Beyond opposite band or recent swing point
• Strategy B (Flow): 1.5-2.0 ATR from entry against direction
• Strategy C (Memory): Based on predicted move magnitude (tighter if pred > 2%)
Exit Management:
System Exit Signals:
• Opposite signal fires: Immediate exit, potential reversal entry
• 20 bars no exit signal: System implies position stale, consider exiting
• Regime changes to unfavorable: Tighten stop, consider partial exit
Manual Exit Conditions:
• Stop loss hit: Take loss, log for validation (system expects some losses)
• Profit target hit: If using fixed targets (2-3R typical)
• Major news event: Flatten during high-impact news (system can't predict these)
Warning Signs (Exit Criteria):
🚨 Stop Trading If:
1. All regimes show negative Sharpe for 4+ weeks (market structure changed)
2. Your results >20% worse than shadow portfolios (execution problem)
3. Parameters hitting extremes (thresholds >85 or <35 across all regimes)
4. Memory agreement <30% for extended periods (unprecedented conditions)
5. Account drawdown >20% (risk management failure, system or otherwise)
⚠️ Reduce Size If:
1. Win rate drops 10%+ from peak (temporary regime shift)
2. Selected strategy underperforming another by >30% (selection lag)
3. Consecutive losses >5 (variance or problem, reduce until clarity)
4. Major market regime change (Fed policy shift, war, etc. - let system re-adapt)
PART 15: THEORETICAL IMPLICATIONS & LIMITATIONS
WHAT THIS SYSTEM REPRESENTS:
Contextual Bandits:
The regime-specific strategy selection implements a contextual multi-armed bandit problem. Each strategy is an "arm," each regime is a "context," and we select arms to maximize expected reward given context. This is reinforcement learning applied to trading.
Experience Replay:
The dual-memory architecture mirrors DeepMind's DQN breakthrough. STM = recent experience buffer; LTM = validated experience replay. This prevents catastrophic forgetting while enabling rapid adaptation—a key challenge in neural network training.
Meta-Learning:
The system learns how to learn. Parameter adaptation adjusts the system's own sensitivity and selectivity based on outcomes. This is "learning to learn"—optimizing the optimization process itself.
Non-Stationary Optimization:
Traditional backtesting assumes stationarity (past patterns persist). This system assumes non-stationarity and continuously adapts. The goal isn't finding "the best parameters" but tracking the moving optimum.
Regime-Conditional Policies:
Rather than a single strategy for all conditions, this implements regime-specific policies. This is contextual decision-making—environment state determines action selection.
FINAL WISDOM:
"The market is a complex adaptive system. To trade it successfully, one must also adapt. This indicator provides the framework—memory, learning, regime awareness—but wisdom comes from understanding when to trade, when to stand aside, and when to defer to conditions the system hasn't yet learned. The edge isn't in the algorithm alone; it's in the partnership between mathematical rigor and human judgment."
— Inspired by the intersection of Einstein's relativity, Kahneman's behavioral economics, and decades of quantitative trading research
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
MTF 20 SMA Table - DXY**MTF 20 SMA Table - Multi-Timeframe Trend Analysis Dashboard**
**Overview:**
This indicator provides a comprehensive multi-timeframe analysis dashboard that displays the relationship between price and the 20-period Simple Moving Average (SMA) across four key timeframes: 15-minute, 1-hour, 4-hour, and Daily. It's designed to help traders quickly identify trend alignment and potential trading opportunities across multiple timeframes at a glance. It's definitely not perfect but has helped me speed up my backtesting efforts as it's worked well for me eliminating flipping back and forth between timeframes excpet when I have confluence on the table, then I check the HTF.
**How It Works:**
The indicator creates a table overlay on your chart showing three critical metrics for each timeframe:
1. **Price vs SMA (Row 1):** Shows whether price is currently above (bullish) or below (bearish) the 20 SMA
- Green = Price Above SMA
- Red = Price Below SMA
2. **SMA Direction (Row 2):** Indicates the trend direction of the SMA itself over a lookback period
- Green (↗ Rising) = Uptrend
- Red (↘ Falling) = Downtrend
- Gray (→ Flat) = Ranging/Consolidation
3. **Strength (Row 3):** Displays the distance between current price and the SMA in pips
- Purple background = Strong move (>50 pips away)
- Orange background = Moderate move (20-50 pips)
- Gray background = Weak/consolidating (<20 pips)
- Text color: Green for positive distance, Red for negative
**Key Features:**
- **Customizable Table Position:** Place the table anywhere on your chart (9 position options)
- **Adjustable SMA Lengths:** Modify the SMA period for each timeframe independently (default: 20)
- **Direction Lookback Settings:** Fine-tune how far back the indicator looks to determine SMA direction for each timeframe
- **Flat Threshold:** Set the pip threshold for determining when an SMA is "flat" vs trending (default: 5 pips)
- **DXY Optimized:** Calculations are calibrated for the US Dollar Index (1 pip = 0.01)
**Best Use Cases:**
1. **Trend Alignment:** Identify when multiple timeframes align in the same direction for higher probability trades
2. **Divergence Spotting:** Detect when lower timeframes diverge from higher timeframes (potential reversals)
3. **Entry Timing:** Use lower timeframe signals while higher timeframes confirm overall trend
4. **Strength Assessment:** Gauge how extended price is from the mean (SMA) to avoid overextended entries
**Settings Guide:**
- **SMA Settings Group:** Adjust the SMA period for each timeframe (15M, 1H, 4H, Daily)
- **SMA Direction Group:** Control lookback periods to determine trend direction
- 15M: Default 5 candles
- 1H: Default 10 candles
- 4H: Default 15 candles
- Daily: Default 20 candles
- **Flat Threshold:** Set sensitivity for "flat" detection (lower = more sensitive to ranging markets)
**Trading Strategy Examples:**
1. **Trend Following:** Look for all timeframes showing the same direction (all green or all red)
2. **Pullback Trading:** When Daily/4H are green but 15M/1H show red, wait for lower timeframes to flip green for entry
3. **Ranging Markets:** When multiple SMAs show "flat", consider range-bound strategies
**Important Notes:**
- This is a reference tool only, not a standalone trading system
- Always use proper risk management and combine with other analysis methods
- Best suited for trending instruments like indices and major forex pairs
- Calculations are optimized for DXY but can be used on other instruments (pip calculations may need adjustment)
**Credits:**
Feel free to modify and improve this code! Suggestions for enhancements are welcome in the comments.
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**Installation Instructions:**
1. Add the indicator to your TradingView chart
2. Adjust the table position via settings to avoid overlap with price action
3. Customize SMA lengths and lookback periods to match your trading style
4. Monitor the table for timeframe alignment and trend confirmation
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This indicator is published as open source for the community to learn from and improve upon. Happy trading! 📈
BTC Backwardation SearcherThis Pine Script code is a custom indicator named "BTC Backwardation Searcher" designed for the TradingView platform. The indicator aims to identify and visualize the price difference between two Bitcoin futures contracts: CME:BTC1! and CME:BTC2!.
Here's a breakdown of the code:
1. The script fetches the daily close prices of CME:BTC1! and CME:BTC2! using the security() function.
2. It calculates the percentage price difference between the two contracts using the formula: (btc1Price - btc2Price) / btc2Price * 100.
3. The script also calculates the price difference for the previous two days (2 days ago and 3 days ago) using the same formula.
4. Two conditions are defined:
(1) dailyGreenCondition: If the price difference is greater than or equal to 0.3% for three
consecutive days, including the current day and the previous two days.
(2) dailyRedCondition(commented): If the price difference is less than or equal to -1% for three consecutive days, including the current day and the previous two days.
(I commented it out because I don't think it's useful.)
5. The plotshape() function is used to display green triangles on the chart when the dailyGreenCondition is met, and red triangles when the dailyRedCondition is met. These triangles are displayed on the daily, weekly, and monthly timeframes.
The purpose of this indicator is to help traders identify potential trading opportunities based on the price difference between the two Bitcoin futures contracts. The green triangles suggest a bullish scenario where CME:BTC1! is significantly higher than CME:BTC2!, while the red triangles indicate a bearish scenario where CME:BTC2! is significantly lower than CME:BTC1!.
However, it's important to note that this indicator should be used in conjunction with other technical analysis tools and fundamental analysis. Traders should also consider their risk tolerance, investment goals, and market conditions before making any trading decisions based on this indicator.
