Dealing Range Auto-Zone v2.1Dealing Range Auto-Zone v2.1 - Summary
Purpose: Automatically creates zone-based support/resistance levels within a dealing range using percentage-based spacing with ATR-driven recommendations.
How It Works:
Click two points to define dealing range (high and low)
Set step % (e.g., 0.25% = one zone every 0.25% move)
Indicator calculates exact zone count and draws upper/lower zone boundaries
Optional center lines show midpoint of each zone
Key Features:
Zone-based S/R - Upper and lower boundaries instead of single lines (creates "price zones" rather than precise levels)
Auto-calculated spacing - Uses exact % steps with math.round() for optimal coverage (minimizes gaps near boundaries)
Adjustable zone width - Default 50% of step (e.g., 0.25% step = 0.125% zone width on each side)
Ghost zones - Extends zones above/below range for anticipating breakouts
ATR-based recommendations - Calculates Daily ATR and suggests Tight/Balanced/Wide step % based on current volatility
Smart validation - Compares your step % to ATR recommendations and shows if it's appropriate for current market conditions
Use Case:
Converts dealing ranges into tradeable S/R zones for 15s-5m intraday scalping. Makes it clear when price is "in a zone" vs "at a precise line." Ideal for MNQ, MGC, and other liquid futures/crypto.
Version 2.1 Changes:
New Features:
Daily ATR calculation with automatic Tight/Balanced/Wide step % recommendations
Volatility-based auto-recommendations (compares ATR(14) vs ATR(50))
Smart validation system that evaluates your step % choice and provides feedback
Info table shows all three ATR recommendations (Tight/Balanced/Wide)
Improvements:
Changed from math.floor() to math.round() for zone count calculation (eliminates gaps near boundaries)
Streamlined info table (removed redundant rows: Range points, Step %, Total Lines)
Added color-coded validation (green checkmark for appropriate settings, orange warning for extreme values)
Bug Fixes:
Fixed tooltip compilation error (moved dynamic ATR data to info table only)
Corrected validation logic to properly categorize step % ranges
Info Table Now Shows:
Range % (dealing range size as %)
Exact Zones (calculated, including fractional)
Zones Drawn (rounded to nearest whole number)
Zone Width (in price points and % of step)
Daily ATR (value and %)
Auto Rec (all three recommendations: T/B/W)
Your Step (with validation: ✓ Tight/Balanced/Wide or ⚠️ Very Tight/Wide)
Indicators and strategies
Float RotationThis is an indicator that plots the float rotation. Best used on the 5min chart. It is best if settings are set to 1 time period and on the columns graph. I use it with a 20 MA bounce strategy.
Williams %R with Head & Shoulders Pattern DetectionWhat makes this indicator special?
This indicator merges two proven trading concepts into one powerful tool:
1️⃣ Smoothed Williams %R
The classic Williams %R momentum oscillator is smoothed by an EMA to reduce market noise and deliver cleaner signals. The result: fewer false signals, better readability.
2️⃣ Automatic Pattern Recognition
The indicator continuously scans for the two most powerful reversal formations in technical analysis:
🔴 Head & Shoulders (Bearish) → Short signals
🟢 Inverse Head & Shoulders (Bullish) → Long signals
Why detect patterns in the oscillator instead of the chart?
Pattern formations in Williams %R often emerge earlier than in the price chart itself.
The momentum oscillator reveals weakness or strength before it manifests in price – a crucial timing advantage.
Features at a Glance
📊Dual Signal SystemCombines pattern-based entries with classic crossover signals
🎨 Full VisualizationShoulders, head, neckline, and entry levels are automatically drawn⚙️ Customizable ParametersSymmetry tolerance, pattern size, and visualization individually adjustable
🔔 Alert-ReadyPre-configured alerts for all signal types
📋 Live Status TableDisplays detected patterns and current %R value in real-time
Signal Logic
Pattern Entries:
SHORT: H&S detected + Williams %R crosses neckline downward
LONG: Inverse H&S detected + Williams %R crosses neckline upward
Simple Entries (additional):
Crossover at -80 (oversold → Long)
Crossunder at -23 (overbought → Short)
Recommended Settings
Default values are optimized for most timeframes. For higher timeframes (4H+), consider increasing shoulder tolerance to 20%.
⚠️ Disclaimer: This indicator is an analysis tool and not financial advice. Always combine signals with your own risk management and additional analysis.
Pinbar and Engulfing Pattern Indicator v6Identify pin bars and engulfing candle patterns. please refer to documentation on internet how to use it.
SMC Toolkit v6 (PSH/PSL + OB + FVG + BoS/CHoCH)Simple PSH and PSL from previous day. Order block, FVG and break of structure and change the character of the market.
Footprint OverlayFootprint Overlay
Visualize order flow at individual price levels with real-time Bid x Ask, Delta, or Total Volume data
Overview
Footprint Overlay is an order flow indicator that displays volume information at each price level within a candle, directly on your chart. Choose between Delta (buying pressure minus selling pressure), Bid x Ask (sell volume vs. buy volume), or Total Volume per level. This granular, level-by-level view reveals where institutional activity is concentrated, helping you identify key support and resistance zones based on actual order flow.
Key Features
Multiple Display Modes: Choose how you want to see the data:
Delta: Shows net buying or selling pressure at each level (Buy Volume - Sell Volume).
Bid x Ask: Displays sell volume vs. buy volume side-by-side (e.g., "150 x 230").
Total Volume: Shows the combined buy and sell volume at each level.
Native Footprint Support (v6): For supported symbols, enable TradingView's native footprint data for accurate bid/ask volume attribution.
Intrabar Delta Calculation: When native footprint data is unavailable, the indicator uses lower timeframe intrabar data to estimate delta at each price level using proprietary logic that considers candle body, wicks, and price action.
Adaptive Tick Sizing: Automatically calculates an appropriate tick size (row height) based on asset type (crypto, forex, futures, etc.) and chart timeframe. Manual override is also available.
Gradient Mode: Optionally scale box opacity relative to the maximum value in the candle, making it easy to spot the most significant levels at a glance.
Customizable Colors: Set distinct colors for bullish (positive delta) and bearish (negative delta) levels.
Value Filtering: Hide levels where the displayed value is below a specified magnitude to reduce noise.
Label Display: Show delta or volume values directly on each level with K/M formatting for readability.
How It Works
Level Creation: For each confirmed candle, the indicator divides the price range into multiple levels. The number and size of levels are determined by ATR or adaptive tick calculations.
Data Collection: If native footprint data is enabled, the indicator uses TradingView's footprint API to get accurate bid/ask volumes per row. Otherwise, it requests lower timeframe intrabar data (OHLCV) to analyze price action within the main candle.
Delta Calculation: For intrabar mode, delta is calculated using proprietary logic that considers body size, wicks, and price action characteristics. Volume is distributed proportionally across all price levels the intrabar crosses.
Visualization: Each price level is rendered as a colored box. The color indicates direction (bullish/bearish), and the text shows the value based on your selected display mode.
Use Cases
Support and Resistance Identification: Large delta or volume concentrations at specific price levels often indicate significant support or resistance zones where institutional traders are active.
Order Flow Analysis: Understand where buying and selling pressure is concentrated within each candle, helping identify potential reversal or continuation zones.
Entry and Exit Timing: Use footprint data to identify optimal entry and exit points based on actual order flow, not just price action.
Confirmation Tool: Combine with other technical analysis tools. For example, a strong bullish delta at a support level can confirm a potential bounce.
Settings
Display Mode: Choose between Delta, Bid x Ask, or Total Volume.
Show Delta Labels: Toggle to show/hide value labels on each level.
Gradient Mode: Scale box opacity relative to the max value in the candle.
Max Opacity: Control the maximum opacity for level boxes.
Font Size: Adjust the text size for labels.
Min Value to Show: Filter out levels with values below this magnitude.
Max Bars to Draw: Limit drawing to the last N bars to prevent object limits.
Bullish/Bearish Delta Color: Customize colors for bullish and bearish levels.
Text Color: Customize the text color for labels.
Use Footprint Data (v6): Enable TradingView's native footprint data for supported symbols.
Tick Size Mode: Choose between Auto or Manual tick sizing.
Tick Density Multiplier: Adjust the density of price levels.
Manual Footprint Ticks: Set a fixed tick size when in Manual mode.
Technical Notes
The indicator updates in real-time as new intrabar data comes in, providing a live view of order flow on the current candle.
Drawing is limited to the last N bars (configurable) to avoid exceeding TradingView's object limits.
Adaptive tick sizing considers asset type and timeframe for optimal granularity.
Native footprint mode provides the most accurate bid/ask attribution; intrabar mode is a best-effort estimate.
Level size in intrabar mode is calculated using ATR(14) divided by 10, adapting to current market volatility.
TheStrat Suite: Price Action Signals & AlertsWhether you're new to Price Action trading or an old vet, you're used to marking up charts. Switching between timeframes. Manually setting alerts. And then doing it all again.
TheStrat Suite gives you everything you need to analyze and act on setups across multiple timeframes, all in one place.
Full Analysis in a Single View: see candle combos, timeframe continuity, and actionable signals across six timeframes, no chart-hopping required
Your Charts, Fully Marked Up: automatically mark entries, targets (magnitude and exhaustion levels), and take action windows
Automatically Adapts as the Market Changes: see when targets are hit, setups invalidate, or new setups form
Alerts That Are All Signal, No Noise: filter by timeframe continuity, actionable signals, Domino setups, and more
TheStrat Suite is based on TheStrat, a price action trading methodology developed by Rob Smith. Whether you're familiar with the methodology or not, it's easy to pick up.
FEATURES
Combos across six configurable timeframes
Entries and targets (magnitude and exhaustion levels)
Failed 2s / Range reclaims
Take action windows
Domino setup detection
Full Timeframe Continuity (FTFC) status
Multi-condition alert filtering
All multi-timeframe. All with alerts.
KEY CONCEPTS
Combo: The relationship between the current candle and the prior candle, expressed as two numbers (e.g., 2-1, 3-2). The first number is the prior candle type, the second is the current candle type.
Candle Types: 1 (Inside) = high and low within prior candle's range; 2 (Directional) = took out one side of prior candle; 3 (Outside) = took out both sides of prior candle.
Directional Bias (u/d): Indicates whether a candle closed up (u) or down (d) relative to its open. Shown alongside candle type (e.g., 2u, 2d, 3u, 3d).
CC (Current Candle): The candle currently forming on the chart.
C1 (Candle 1): The most recently closed candle, one bar back from the current candle.
C2 (Candle 2): The candle two bars back from the current candle.
HAM (Hammer): A candle where the low broke below the prior candle's low but closed back inside. Indicates potential bullish reversal.
SHO (Shooter): A candle where the high broke above the prior candle's high but closed back inside. Indicates potential bearish reversal.
Failed 2 / Range Reclaim: When a 2 candle takes out one side of a 1 (inside bar) but fails to continue and reverses back through the opposite side. This "failure" often triggers momentum in the opposite direction.
Magnitude (MAG): The measured move target based on the range of the broadening formation or prior candle structure.
Exhaustion Level: A level derived from extended price action that may indicate a potential reversal or pause zone.
Take Action Window: The period during which a lower timeframe entry aligns with a higher timeframe signal. When this window is active, your entry is "in sync" with the larger structure.
Domino Setup: Multiple consecutive timeframes showing inside bars (1s). When one breaks, it can trigger a cascade of setups across timeframes.
Full Timeframe Continuity (FTFC): When all selected timeframes align in the same directional bias (all bullish or all bearish). Often used as a filter for higher-probability setups.
Signal: Any combo that matches the criteria you have defined in your settings and filters. Signals represent the setups you want to see based on your trading preferences.
Actionable Signal: Traditionally, a hammer, shooter, or inside bar. These setups have a defined trigger level and are considered "ready to trade" when that level is approached or broken.
Potential Signal: A setup that is not yet confirmed but may become a signal if certain conditions are met. Potential signals are noted with a * before them in the indicator display.
KNOWN LIMITATIONS (v1.0)
Timeframe Hierarchy: TradingView does not allow requesting data from a timeframe lower than your chart's timeframe. If your chart is set to 1 hour, you cannot display data from the 15-minute or 5-minute timeframes. Always set your chart timeframe equal to or lower than your lowest configured indicator timeframe.
Bar Replay Mode: Performance is unreliable in bar replay mode, especially when involving smaller timeframes. This is a known TradingView limitation, not a bug in the indicator.
Historical Depth: To optimize performance, certain calculations (such as exhaustion levels) are limited to recent bars. This ensures fast load times without impacting real-time functionality.
Label Overlap: When two or more levels are close together, labels may overlap on the chart. This is a TradingView limitation. Users can adjust label display settings to mitigate this issue.
COMMON ISSUES & SOLUTIONS
"I'm seeing too much on my chart." Use the indicator settings to toggle off features you don't need. Alternatively, rely on alerts to notify you when specific conditions are met rather than displaying everything visually.
"I'm getting alerts at the wrong times, or too few, or too many." Check your alert interval setting in TradingView. The alert interval should be set to less than or equal to your lowest configured indicator timeframe. For example, if your lowest timeframe is 5 minutes, set alerts to trigger every 1 minute or "Once Per Bar Close" on a chart timeframe of 5 minutes or lower.
"Levels aren't showing for a timeframe." Confirm your chart timeframe is equal to or lower than the timeframe you're trying to display. A 1-hour chart cannot show 15-minute data.
"Labels or levels disappeared unexpectedly." The indicator automatically hides levels that are no longer relevant based on your selected filters and current market conditions. Check your settings to verify which filters are enabled. If a level was hit, invalidated, or is now duplicated by another timeframe, it may be hidden intentionally to keep your chart clean.
Trading and investing involves risk of financial loss. TheStrat Suite is a charting tool, not financial advice. Past performance does not guarantee future results. You are solely responsible for your trading decisions. 345 Strategies assumes no responsibility for any losses (or gains) incurred.
Ticker DataTicker Data is a high-efficiency dashboard designed for traders and analysts who need immediate context on a ticker without cluttering their chart.
This script aggregates fundamental data, price performance, and key institutional support levels into a single, customizable table. It allows you to assess the "character" of a stock in seconds by overlaying essential metrics directly onto your chart.
Key Features
1. Institutional Anchors (Auto-VWAPs)
Instead of manually drawing Anchored VWAPs for every ticker, this script automatically calculates and displays the three most important levels for trend management:
VWAP IPO: The volume-weighted average price since the stock's inception.
VWAP YTD: The volume-weighted average price starting from Jan 1st of the current year.
VWAP Earnings: The volume-weighted average price since the most recent earnings report.
Visual Logic: Text turns Green if price is above the VWAP, and Red if below.
2. Trend & Momentum
5-Day MA: Displays the 5-day Simple Moving Average based on Daily data. This serves as a "momentum guardrail"—if the price is above the 5DMA, short-term momentum is bullish.
Timeframe Independence: The 5DMA and performance stats are forced to the Daily timeframe, ensuring consistent data even if you view the chart on 15m or 1H intervals.
3. Fundamental Context
Market Cap: Current market capitalization.
Float & Float %: Displays the number of floating shares and the percentage of total shares they represent. Vital for gauging volatility potential (low float = higher volatility).
4. Price Performance & Range
Performance: % change over the last Week (1W), Month (1M), and Quarter (3M).
52-Week High/Low:
Off 52W High: The % drawdown from the 52-week high.
Above 52W Low: The % extension from the 52-week low.
5. Event & History Awareness
Earnings Countdown: Displays the number of days until the next earnings report. Text turns Red inside the "Danger Zone" (less than 7 days).
IPO Timer: Calculates exactly how many years have passed since the stock's public listing, allowing you to quickly filter for fresh merchandise vs. mature assets.
Settings & Customization
This script is built for "Chart Real Estate" management. You have full control over the visual layout via the inputs tab:
Display Toggles: Every metric (Float %, Dist from High/Low, IPO Timer, VWAPs, etc.) has its own checkbox. Uncheck what you don't need to keep the table compact.
Table Positioning:
Location: Pin the table to any corner (Top/Bottom, Left/Right).
Size: Scale the table from Tiny to Large to fit your resolution.
Push Down: A unique feature that adds empty transparent rows to the top of the table. This pushes the data down so it does not obscure the most recent price candles or the ticker header.
Visual Styling:
Alignment: Independently control the text alignment (Left, Center, Right) for both the Labels and the Data columns.
Colors: Fully customizable Background and Text colors.
Note: The default text color is Black (optimized for Light Mode charts). If you use Dark Mode, simply switch the "Text Color" input to White.
Technical Notes
Data Source: Moving averages and VWAP anchors are calculated using Daily ('D') data to ensure institutional relevance.
ELMEHDI VIP (v4.0)ABO SALTAN //@version=5
indicator(title = 'ELMEHDI VIP (v4.0)', shorttitle = 'EL MEHDI KHEYI(v4.0)', overlay = true, max_boxes_count = 500, max_labels_count = 500, max_lines_count = 500, max_bars_back = 500, max_polylines_count = 100)
bullcolor = #339b44
bearcolor = #af3232
ema150 = ta.ema(close, 150)
ema250 = ta.ema(close, 250)
gr_customalert = "Custom Alerts"
gr_signal = "General Configurations"
gr_PullBacksignal = "Trading Assistants"
gr_RiskManage = "Risk Management"
gr_dash = "Dashboard Configurations"
//symbol info
symInfoCheck = false
symInfo = syminfo.ticker + ' | ' + timeframe.period + (timeframe.isminutes ? 'M' : na)
date = str.tostring(dayofmonth(time_close)) + '/' + str.tostring(month(time_close)) + '/' + str.tostring(year(time_close))
//text positioning
textVPosition = 'middle'
textHPosition = 'center'
//symbol info positioning
symVPosition = 'top'
symHPosition = 'left'
//cell size
width = 0
height1 = 0
//title settings
c_title = #b2b5be80
s_title = 'large'
a_title = 'center'
//subtitle settings
c_subtitle = #b2b5be80
s_subtitle = 'normal'
a_subtitle = 'center'
c_bg = color.new(color.blue, 100)
// Get user input
showSignals = input(true, "Show Signal's", group=gr_signal)
//showSignals = true
sensitivity = input.float(2.4, "Sensitivity", 0.1, step=0.1, group=gr_signal)
STuner = input.int(10, "Signal Tuner(1-25)", minval = 1, maxval = 25, group=gr_signal)
Presets = "All Signals"
//Presets = input.string("All Signals", "Presets", , group=gr_signal)
filterstyle = input.string("Trending Signals ", "Signal Mode / Filters", ["Trending Signals ", "Contrarian Signals ", "High Volume ", "Strong ", "Swing ", "Smooth ", "Scalping ", "Scalping+ "], group=gr_signal)
//TextStyle = input.string("Minimal", "Signal Style", , group=gr_signal)
//periodTrendCloud = input.string("Smooth", "Trend Cloud Style", , group=gr_Other_Settings)
TextStyle = "Minimal"
consSignalsFilter = filterstyle == "Trending Signals " ? true : false
StrongSignalsOnly = filterstyle == "Strong " ? true : false
highVolSignals = filterstyle == "High Volume " ? true : false
signalsTrendCloud = (filterstyle == "Smooth ") ? true : (filterstyle == "Scalping ") ? true : (filterstyle == "Scalping+ ") ? true : (filterstyle == "Swing ") ? true : false
ContrarianOnly = filterstyle == "Contrarian Signals " ? true : false
TrendMap = 'Trend Gradient'
momentumCandles = false
assistantenable = input(true,'', group=gr_PullBacksignal, inline = 'sexyshit')
assistantmode = input.string('Trend Assistant', 'Assistant | Mode', , group = gr_PullBacksignal, inline = 'sexyshit')
Show_PR = input.bool(true, title="", group = gr_PullBacksignal , inline = "Features1")
MSTuner = input.int(8, "Reversal Dot | Tuner(2-30)", minval = 2, maxval = 30, group=gr_PullBacksignal, inline = "Features1")
LongTrendAverage = assistantmode == 'Trend Tracker' and assistantenable == true ? true : false
analyscloud = assistantmode == 'Trend Assistant' and assistantenable == true ? true : false
showTrendCloud = (filterstyle == "Smooth ") ? true : (filterstyle == "Scalping ") ? true : (filterstyle == "Scalping+ ") ? true : (filterstyle == "Swing ") ? true : false
periodTrendCloud = (filterstyle == "Smooth ") ? "Smooth" : (filterstyle == "Scalping ") ? "Scalping" : (filterstyle == "Scalping+ ") ? "Scalping+" : (filterstyle == "Swing ") ? "Swing" : na
//ScalpingPlus = input(false, "Fast trend cloud", group=gr_Other_Settings)
//fastTrendCloudLen = input.int(55, "Fast trend cloud", 2, group=gr_Other_Settings)
fill(plot(showTrendCloud and periodTrendCloud == "Smooth" ? na : assistantenable == true and assistantmode == 'Trend Tracker' ? ema150 : na, "", na, editable=false), plot(showTrendCloud and periodTrendCloud == "Smooth" ? na : assistantenable == true and assistantmode == 'Trend Tracker' ? ema250 : na, "", na, editable=false), ema150 > ema250 ? color.new(bullcolor, 70) : ema150 < ema250 ? color.new(bearcolor, 70) : na)
showDashboard = input(true, "Smart Panel", group = gr_dash , inline = "Features1")
locationDashboard = input.string("Bottom Right", "Dashboard Location", , group = gr_dash , tooltip="Smart Panel")
sizeDashboard = input.string("Small", "Dashboard Size", , group = gr_dash , tooltip="Smart Panel")
tpLabels = input(true, "Dynamic Take Profit Lables", group=gr_RiskManage)
ShowTpSlAreas = input(true, "Show take Profit/Stop-loss Area", group=gr_RiskManage)
ShowTrailingSL = input(false, "Show trailing Stop-loss", group=gr_RiskManage)
usePercSL = input(false, "SL/TRAILING", inline="1", group=gr_RiskManage)
percTrailingSL = input.float(1, "", 0, step=0.1, inline="1", group=gr_RiskManage)
useTP1 = input(true, "", inline="1", group=gr_RiskManage)
multTP1 = input.float(1, "TP 1", 0, inline="1", group=gr_RiskManage)
useTP2 = input(true, "", inline="4", group=gr_RiskManage)
multTP2 = input.float(2, "TP 2", 0, inline="4", group=gr_RiskManage)
useTP3 = input(true, "", inline="4", group=gr_RiskManage)
multTP3 = input.float(3, "TP 3", 0, inline="4", group=gr_RiskManage)
ShowSwings = input(false, "Show Market Structure", inline="3", group=gr_RiskManage)
periodSwings = input.int(10, "", 2, inline="3", group=gr_RiskManage)
//showTS = input(title='Show Trend Shifter', defval=false, group='Contrarian SIGNALS')
// showsignals = input(title='Show Signals', defval=false, group='Contrarian SIGNALS')
// Alerts Managemnt
Normalbuy_alert = input.bool(title='Buy Signal', defval=false, inline = "NB", group=gr_customalert)
Strongbuy_alert = input.bool(title='Strong Buy', defval=true, inline = "NB", group=gr_customalert)
Normalsell_alert = input.bool(title='Sell Signal', defval=false , inline = "NS", group=gr_customalert)
Strongsell_alert = input.bool(title='Strong Sell', defval=true , inline = "NS", group=gr_customalert)
slalert = input.bool(title='Stop-Loss', defval=true , inline = "SLTP1", group=gr_customalert)
tp1alert = input.bool(title='Target 1', defval=true , inline = "SLTP1", group=gr_customalert)
tp2alert = input.bool(title='Target 2', defval=true , inline = "TP2TP3", group=gr_customalert)
tp3alert = input.bool(title='Target 3', defval=true , inline = "TP2TP3", group=gr_customalert)
bullcrosscloud_alert = input.bool(title='Bullish Cloud', defval=false, inline = "CD", group=gr_customalert)
bearcrosscloud_alert = input.bool(title='Bearish Cloud', defval=false, inline = "CD", group=gr_customalert)
showCons = false
paintCons = false
// Signal Text
SimpleBuy = "Buy"
StrongB = "Strong Buy"
SimpleSell = "Sell"
StrongS = "Strong Sell"
if TextStyle == "Normal"
SimpleBuy := "Buy"
StrongB := "BUY"
SimpleSell:= "Sell"
StrongS := "Strong Sell"
if TextStyle == "Minimal"
SimpleBuy := "⬆"
StrongB := "⬆⬆"
SimpleSell:= "⬇"
StrongS := "⬇⬇"
// Signal Text Color
// bullsignalcolor = #ffffff
// bearsignalcolor = color.rgb(255, 255, 255)
// if TextStyle == "Normal"
// bullsignalcolor := color.rgb(255, 255, 255)
// bearsignalcolor := color.rgb(255, 255, 255)
// if TextStyle == "Minimal"
// bullsignalcolor := color.rgb(255, 255, 255)
// bearsignalcolor := color.rgb(255, 255, 255)
src = close
RSII = ta.ema(ta.rsi(src, 50), 30)
TR = math.abs(RSII - RSII )
wwalpha = 1 / 50
WWMA = 0.0
WWMA := wwalpha * TR + (1 - wwalpha) * nz(WWMA )
ATRRSI = 0.0
ATRRSI := wwalpha * WWMA + (1 - wwalpha) * nz(ATRRSI )
TsFast = ta.ema(ta.rsi(src, 50), 30)
TsUP = TsFast + ATRRSI * 4.236
TsDN = TsFast - ATRRSI * 4.236
textWatermark = table.new(textVPosition + '_' + textHPosition, 1, 3)
TsSlow = 0.0
TsSlow := TsUP < nz(TsSlow ) ? TsUP : TsFast > nz(TsSlow ) and TsFast < nz(TsSlow ) ? TsDN : TsDN > nz(TsSlow ) ? TsDN : TsDN < nz(TsSlow ) and TsFast > nz(TsSlow ) ? TsUP : nz(TsSlow )
Colorh = TsFast > 55 ? color.rgb(255, 0, 0) : TsFast < 45 ? color.rgb(0, 255, 8) : #ffffff
//QQF = plot(TsFast, 'TS FAST', color=color.new(color.maroon, 100), linewidth=2, display=display.none, editable = false)
//QQS = plot(TsSlow, 'TS SLOW', color=color.new(color.white, 100), linewidth=2, display=display.none , editable = false)
//plot(TsFast, color=Colorh, linewidth=2, style=plot.style_area, histbase=50)
//BearLimit = hline(60, color=color.gray, linestyle=hline.style_dashed)
//BullLimt = hline(40, color=color.gray, linestyle=hline.style_dashed)
bulllim = 45
bearlim = 55
BullSignalr = ta.crossover(TsFast, TsSlow) and TsFast < bulllim
BearSignallr = ta.crossunder(TsFast, TsSlow) and TsFast > bearlim
/////////////////////////////////////////////////////////
// Trap Detector
////////////////////////////////////////////////////////
// Functions
wavetrend(src, chlLen, avgLen) =>
esa = ta.ema(src, chlLen)
d = ta.ema(math.abs(src - esa), chlLen)
ci = (src - esa) / (0.015 * d)
wt1 = ta.ema(ci, avgLen)
wt2 = ta.sma(wt1, 3)
f_top_fractal(src) => src < src and src < src and src > src and src > src
f_bot_fractal(src) => src > src and src > src and src < src and src < src
f_fractalize (src) => f_top_fractal(src) ? 1 : f_bot_fractal(src) ? -1 : 0
f_findDivs(src, topLimit, botLimit) =>
fractalTop = f_fractalize(src) > 0 and src >= topLimit ? src : na
fractalBot = f_fractalize(src) < 0 and src <= botLimit ? src : na
highPrev = ta.valuewhen(fractalTop, src , 0)
highPrice = ta.valuewhen(fractalTop, high , 0)
lowPrev = ta.valuewhen(fractalBot, src , 0)
lowPrice = ta.valuewhen(fractalBot, low , 0)
bearSignal = fractalTop and high > highPrice and src < highPrev
bullSignal = fractalBot and low < lowPrice and src > lowPrev
// Get components
= wavetrend(close, 5*MSTuner, 10*MSTuner)
= f_findDivs(wt2, 10, -35)
= f_findDivs(wt2, 40, -70)
wtDivBull = wtDivBull1 or wtDivBull2
wtDivBear = wtDivBear1 or wtDivBear2
plotshape(ta.crossover(wt1, wt2) and Show_PR and wt2 <= -60)
plotshape(ta.crossunder(wt1, wt2) and Show_PR and wt2 >= 60)
rsi = ta.rsi(close ,14)
// Functions
f_chartTfInMinutes() =>
float _resInMinutes = timeframe.multiplier * (
timeframe.isseconds ? 1. / 60 :
timeframe.isminutes ? 1. :
timeframe.isdaily ? 60. * 24 :
timeframe.isweekly ? 60. * 24 * 7 :
timeframe.ismonthly ? 60. * 24 * 30.4375 : na)
atr(len) =>
tr = ta.tr
atr = 0.0
atr := nz(atr + (tr - atr ) / len, tr)
supertrend(src, factor, len) =>
atr = ta.atr(len)
upperBand = src + factor * atr
lowerBand = src - factor * atr
prevLowerBand = nz(lowerBand )
prevUpperBand = nz(upperBand )
lowerBand := lowerBand > prevLowerBand or close < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or close > prevUpperBand ? upperBand : prevUpperBand
int direction = na
float superTrend = na
prevSuperTrend = superTrend
if prevSuperTrend == prevUpperBand
direction := close > upperBand ? 1 : -1
else
direction := close < lowerBand ? -1 : 1
superTrend := direction == 1 ? lowerBand : direction == -1 ? upperBand : na
dchannel(len)=>
hh = ta.highest(len)
ll = ta.lowest (len)
trend = 0
trend := close > hh ? 1 : close < ll ? -1 : nz(trend )
trendScalper(show, len1, len2, len3, colorBull, colorBear, colorBarBull, colorBarBear) =>
avgOC = math.avg(open, close)
ha_o = 0.0, ha_o := na(ha_o ) ? avgOC : (ha_o + ohlc4 ) / 2
ema1 = ta.ema(ha_o, len1), ema2 = ta.ema(ha_o, len2), ema3 = ta.ema(ha_o, len3)
ris1 = ema1 > ema1 , ris2 = ema2 > ema2 , ris3 = ema3 > ema3
fal1 = ema1 < ema1 , fal2 = ema2 < ema2 , fal3 = ema3 < ema3
colorEma1 = ris1 ? colorBull : fal1 ? colorBear : na, colorEma2 = ris2 ? colorBull : fal2 ? colorBear : na, colorEma3 = ris3 ? colorBull : fal3 ? colorBear : na
fillEma1 = avgOC > ema1 ? colorBull : avgOC < ema1 ? colorBear : na, fillEma2 = ema1 > ema2 ? colorBull : ema1 < ema2 ? colorBear : na, fillEma3 = ema2 > ema3 ? colorBull : ema2 < ema3 ? colorBear : na
colorBar = close < ema1 and close < ema2 ? colorBarBear : colorBarBull
candlesMom() =>
= ta.macd(close, 2, 4, 3)
(macd > 10 and macd > macd ) or (macd < 10 and macd < macd )
trailingSL(buy, sell, factor, len, usePerc, perc) =>
atr = atr(len)
upperBand = high + (usePerc ? high * (perc / 100) : factor * atr)
lowerBand = low - (usePerc ? low * (perc / 100) : factor * atr)
prevLowerBand = nz(lowerBand )
prevUpperBand = nz(upperBand )
lowerBand := lowerBand > prevLowerBand or buy ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or sell ? upperBand : prevUpperBand
int direction = na
float stop = na
prevSuperTrend = stop
if prevSuperTrend == prevUpperBand
direction := buy ? 1 : -1
else
direction := sell ? -1 : 1
stop := direction == 1 ? lowerBand : direction == -1 ? upperBand : na
add_to_zz(zz, val, bi) =>
array.unshift(zz, bi)
array.unshift(zz, val)
if array.size(zz) > 12
array.pop(zz)
update_zz(zz, val, bi, dir) =>
if array.size(zz) == 0
add_to_zz(zz, val, bi)
else
if dir == 1 and val > array.get(zz, 0) or dir == -1 and val < array.get(zz, 0)
array.set(zz, 0, val)
array.set(zz, 1, bi)
0
// Get components
vosc = ta.obv - ta.ema(ta.obv, 20)
bs = ta.ema(nz(math.abs((open - close) / (high - low) * 100)), 3)
ema = ta.ema(close, 200)
emaBull = close > ema
equal_tf(res) => str.tonumber(res) == f_chartTfInMinutes()
higher_tf(res) => str.tonumber(res) > f_chartTfInMinutes()
too_small_tf(res) => (timeframe.isweekly and res=="1") or (timeframe.ismonthly and str.tonumber(res) < 10)
securityNoRep(sym, res, src) =>
bool bull = na
bull := equal_tf(res) ? src : bull
bull := higher_tf(res) ? request.security(sym, res, src, barmerge.gaps_off, barmerge.lookahead_off) : bull
bull_array = request.security_lower_tf(syminfo.tickerid, higher_tf(res) ? str.tostring(f_chartTfInMinutes()) : too_small_tf(res) ? (timeframe.isweekly ? "3" : "10") : res, src)
if array.size(bull_array) > 1 and not equal_tf(res) and not higher_tf(res)
bull := array.pop(bull_array)
array.clear(bull_array)
bull
//TF1Bull = securityNoRep(syminfo.tickerid, "1" , emaBull)
//TF3Bull = securityNoRep(syminfo.tickerid, "3" , emaBull)
TF5Bull = securityNoRep(syminfo.tickerid, "5" , emaBull)
//TF10Bull = securityNoRep(syminfo.tickerid, "10" , emaBull)
TF15Bull = securityNoRep(syminfo.tickerid, "15" , emaBull)
TF30Bull = securityNoRep(syminfo.tickerid, "30" , emaBull)
TF60Bull = securityNoRep(syminfo.tickerid, "60" , emaBull)
//TF120Bull = securityNoRep(syminfo.tickerid, "120" , emaBull)
TF240Bull = securityNoRep(syminfo.tickerid, "240" , emaBull)
//TF720Bull = securityNoRep(syminfo.tickerid, "720" , emaBull)
//TFDBull = securityNoRep(syminfo.tickerid, "1440", emaBull)
hma55 = ta.hma(close, 55 )
= ta.macd(close, 12, 26, 9)
supertrend = supertrend(close, sensitivity, STuner)
maintrend = dchannel(30)
confBull = (ta.crossover (close, supertrend) or (ta.crossover (close, supertrend) and maintrend < 0)) and macd > 0 and macd > macd and ema150 > ema250 and hma55 > hma55 and maintrend > 0
confBear = (ta.crossunder(close, supertrend) or (ta.crossunder(close, supertrend) and maintrend > 0)) and macd < 0 and macd < macd and ema150 < ema250 and hma55 < hma55 and maintrend < 0
trendcloud = supertrend(ohlc4, periodTrendCloud == "Swing" ? 7 : 4, 10)
hma = periodTrendCloud == "Scalping+" ? ta.hma(close, 55) : na
none = close > 0
= ta.dmi(14, 14)
consFilter = adx > 20
ContBear = TsFast > 65
ContBull = TsFast < 35
StrongFilter = ta.ema(close, 200)
//volFilter = (ta.ema(volume, 25) - ta.ema(volume, 26)) / ta.ema(volume, 26) > 0
volFilter = (ta.ema(volume, 15) - ta.ema(volume, 20)) / ta.ema(volume, 25) > 0
trendFilter = trendcloud
bull = (Presets == "All Signals" ? ta.crossover (close, supertrend) : confBull and not confBull ) and Presets != "Trend Scalper" and (StrongSignalsOnly ? close > StrongFilter : none) and (ContrarianOnly ? ContBull : none) and (consSignalsFilter ? consFilter : none) and (highVolSignals ? volFilter : none) and (signalsTrendCloud ? (periodTrendCloud == "Smooth" ? ema150 > ema250 : close > trendFilter) : none)
bear = (Presets == "All Signals" ? ta.crossunder(close, supertrend) : confBear and not confBear ) and Presets != "Trend Scalper" and (StrongSignalsOnly ? close < StrongFilter : none) and (ContrarianOnly ? ContBear : none) and (consSignalsFilter ? consFilter : none) and (highVolSignals ? volFilter : none) and (signalsTrendCloud ? (periodTrendCloud == "Smooth" ? ema150 < ema250 : close < trendFilter) : none)
countBull = ta.barssince(bull)
countBear = ta.barssince(bear)
trigger = nz(countBull, bar_index) < nz(countBear, bar_index) ? 1 : 0
= trendScalper(Presets == "Trend Scalper" ? true : false, 5, 9, 21, bullcolor, bearcolor, bullcolor, bearcolor)
trailingStop = trailingSL(bull, bear, 2.2, 14, usePercSL, percTrailingSL)
float _ph = ta.highestbars(high, periodSwings) == 0 ? high : na
float _pl = ta.lowestbars (low, periodSwings) == 0 ? low : na
var _dir = 0, dir_ = _pl and na(_ph) ? -1 : _dir, _dir := _ph and na(_pl) ? 1 : dir_, dirChg = ta.change(_dir)
var zz = array.new_float(0), zzOld = array.copy(zz)
float zzLive = _ph or _pl ? (dirChg ? add_to_zz(zz, _dir == 1 ? _ph : _pl, bar_index) : update_zz(zz, _dir == 1 ? _ph : _pl, bar_index, _dir)) : na
float hb_ = ta.highestbars(10) == 0 ? high : na
float lb_ = ta.lowestbars (10) == 0 ? low : na
var int dir = 0
float zz_ = na
float pp = na
var int consCnt = 0
var float condHi = na
var float condLo = na
float H_ = ta.highest(5)
float L_ = ta.lowest (5)
var line lineUp = na
var line lineDn = na
bool breakUp = false
bool breakDn = false
var float pvh1_price = array.new_float(1000, na)
var int pvh1_time = array.new_int (1000, na)
var float pvl1_price = array.new_float(1000, na)
var int pvl1_time = array.new_int (1000, na)
var float pvh2_price = array.new_float(1000, na)
var int pvh2_time = array.new_int (1000, na)
var float pvl2_price = array.new_float(1000, na)
var int pvl2_time = array.new_int (1000, na)
var float htcmrll_price = na
var int htcmrll_time = na
var float ltcmrhh_price = na
var int ltcmrhh_time = na
var box long_boxes = array.new_box()
var box short_boxes = array.new_box()
var float temp_pv_0 = na
var float temp_pv_1 = na
var float temp_pv_2 = na
bool pvh = high < high and high > high
bool pvl = low > low and low < low
int pv1_time = bar_index
float pv1_high = high
float pv1_low = low
var buyBars = array.new_box(365, na)
for i = 0 to 364
box.delete(array.get(buyBars, i))
var sellBars = array.new_box(365, na)
for i = 0 to 364
box.delete(array.get(sellBars, i))
// Colors
green = bullcolor, green50 = color.new(green, 50), green20 = color.new(green, 80)
red = bearcolor, red50 = color.new(red, 50), red20 = color.new(red, 80)
silver = #B2B5BE, silver50 = color.new(silver, 50), silver20 = color.new(silver, 80)
// Plots
atrBand = usePercSL ? (trigger ? low : high) * (percTrailingSL / 100) : ta.atr(14) * 2.2
atrStop = trigger ? low - atrBand : high + atrBand
lastTrade(src) => ta.valuewhen(bull or bear, src, 0)
entry_y = lastTrade(close)
stop_y = lastTrade(atrStop)
tp1_y = (entry_y-lastTrade(atrStop))*multTP1 + entry_y
tp2_y = (entry_y-lastTrade(atrStop))*multTP2 + entry_y
tp3_y = (entry_y-lastTrade(atrStop))*multTP3 + entry_y
labelTpSl(cond, y, txt, color) =>
label labelTpSl = ShowTpSlAreas and cond ? label.new(bar_index + 1, y, txt, xloc.bar_index, yloc.price, color, label.style_label_left, color.white, size.normal) : na
label.delete(labelTpSl )
labelTpSl(none, entry_y, "Entry : " + str.tostring(math.round_to_mintick(entry_y)), #089981)
labelTpSl(none, stop_y , "Stop loss : " + str.tostring(math.round_to_mintick(atrStop)), bearcolor)
labelTpSl(useTP1 and multTP1 != 0, tp1_y, "TP 1 : " + str.tostring(math.round_to_mintick(tp1_y)), #089981)
labelTpSl(useTP2 and multTP2 != 0, tp2_y, "TP 2 : " + str.tostring(math.round_to_mintick(tp2_y)), #089981)
labelTpSl(useTP3 and multTP3 != 0, tp3_y, "TP 3 : " + str.tostring(math.round_to_mintick(tp3_y)), #089981)
lineTpSl(cond, y, color, style) =>
line lineTpSl = ShowTpSlAreas and cond ? line.new(bar_index - (trigger ? countBull : countBear), y, bar_index + 1, y, xloc.bar_index, extend.none, color, style) : na
line.delete(lineTpSl )
lineTpSl(none, entry_y, #089981, line.style_dashed)
lineTpSl(none, stop_y , bearcolor , line.style_solid )
lineTpSl(useTP1 and multTP1 != 0, tp1_y, bullcolor, line.style_dotted)
lineTpSl(useTP2 and multTP2 != 0, tp2_y, bullcolor, line.style_dotted)
lineTpSl(useTP3 and multTP3 != 0, tp3_y, bullcolor, line.style_dotted)
//buy = showSignals and bull ? label.new(bar_index, low , close > StrongFilter ? StrongB : SimpleBuy , xloc.bar_index, yloc.belowbar, bullcolor, label.style_label_up , color.rgb(255, 255, 255), size.normal) : na
//sell = showSignals and bear ? label.new(bar_index, high, close < StrongFilter ? StrongS : SimpleSell , xloc.bar_index, yloc.abovebar, bearcolor , label.style_label_down, color.rgb(255, 255, 255), size.normal) : na
buy = (showSignals and bull ? label.new(bar_index, low , close > StrongFilter ? StrongB : SimpleBuy , xloc.bar_index, yloc.belowbar, bullcolor, label.style_label_up , color.rgb(255, 255, 255), size.normal) : na)
sell = showSignals and bear ? label.new(bar_index, high, close < StrongFilter ? StrongS : SimpleSell , xloc.bar_index, yloc.abovebar, bearcolor , label.style_label_down, color.rgb(255, 255, 255), size.normal) : na
tpLabels(tp) =>
tp1Bull = ta.crossover (rsi, 70), tp2Bull = ta.crossover (rsi, 75), tp3Bull = ta.crossover (rsi, 80)
tp1Bull := tp1Bull and (nz(ta.barssince(tp1Bull) , 9999) > countBull), tp2Bull := tp2Bull and (ta.barssince(tp1Bull) <= countBull), tp2Bull := tp2Bull and (nz(ta.barssince(tp2Bull) , 9999) > countBull), tp3Bull := tp3Bull and (ta.barssince(tp2Bull) <= countBull), tp3Bull := tp3Bull and (nz(ta.barssince(tp3Bull) , 9999) > countBull)
tp1Bear = ta.crossunder(rsi, 30), tp2Bear = ta.crossunder(rsi, 25), tp3Bear = ta.crossunder(rsi, 20)
tp1Bear := tp1Bear and (nz(ta.barssince(tp1Bear) , 9999) > countBear), tp2Bear := tp2Bear and (ta.barssince(tp1Bear) <= countBear), tp2Bear := tp2Bear and (nz(ta.barssince(tp2Bear) , 9999) > countBear), tp3Bear := tp3Bear and (ta.barssince(tp2Bear) <= countBear), tp3Bear := tp3Bear and (nz(ta.barssince(tp3Bear) , 9999) > countBear)
if Presets != "Trend Scalper" and tpLabels
trigger ? (tp == 1 ? tp1Bull : tp == 2 ? tp2Bull : tp3Bull) : (tp == 1 ? tp1Bear : tp == 2 ? tp2Bear : tp3Bear)
plotshape(tpLabels(1), "", shape.xcross, location.abovebar, trigger ? green : na , 0, "TP 1", trigger ? green : na , true)
plotshape(tpLabels(2), "", shape.xcross, location.abovebar, trigger ? green : na , 0, "TP 2", trigger ? green : na , false)
plotshape(tpLabels(3), "", shape.xcross, location.abovebar, trigger ? green : na , 0, "TP 3", trigger ? green : na , false)
plotshape(tpLabels(1), "", shape.xcross, location.belowbar, trigger ? na : red, 0, "TP 1", trigger ? na : red, true)
plotshape(tpLabels(2), "", shape.xcross, location.belowbar, trigger ? na : red, 0, "TP 2", trigger ? na : red, false)
plotshape(tpLabels(3), "", shape.xcross, location.belowbar, trigger ? na : red, 0, "TP 3", trigger ? na : red, false)
var label zzLabel = na
if array.size(zz) > 12 and ShowSwings
if array.get(zz, 0) != array.get(zzOld, 0) or array.get(zz, 1) != array.get(zzOld, 1)
if array.get(zz, 2) == array.get(zzOld, 2) and array.get(zz, 3) == array.get(zzOld, 3)
label.delete(zzLabel)
zzLabel := label.new(math.round(array.get(zz, 1)), array.get(zz, 0), _dir == 1 ? array.get(zz, 0) > array.get(zz, 4) ? ((array.get(zz, 4) < array.get(zz, 8)) ? "High" : "HH") : "LH" : array.get(zz, 0) < array.get(zz, 4) ? ((array.get(zz, 4) > array.get(zz, 8)) ? "Low" : "LL") : "HL", xloc.bar_index, yloc.price, color.new(color.white, 100), _dir == 1 ? label.style_label_down : label.style_label_up, _dir == 1 ? bullcolor : bearcolor)
if showCons and barstate.isconfirmed
dir := hb_ and na(lb_) ? 1 : lb_ and na(hb_) ? -1 : dir
if hb_ and lb_
if dir == 1
zz_ := hb_
else
zz_ := lb_
else
zz_ := hb_ ? hb_ : lb_ ? lb_ : na
for x = 0 to 1000
if na(close) or dir != dir
break
if zz_
if na(pp)
pp := zz_
else
if dir == 1 and zz_ > pp
pp := zz_
if dir == -1 and zz_ < pp
pp := zz_
if pp != pp
if consCnt > 5
if pp > condHi
breakUp := true
if pp < condLo
breakDn := true
if consCnt > 0 and pp <= condHi and pp >= condLo
consCnt += 1
else
consCnt := 0
else
consCnt += 1
if consCnt >= 5
if consCnt == 5
condHi := H_
condLo := L_
else
line.delete(lineUp)
line.delete(lineDn)
condHi := math.max(condHi, high)
condLo := math.min(condLo, low )
lineUp := line.new(bar_index, condHi , bar_index - consCnt, condHi , color=bearcolor , style=line.style_dashed)
lineDn := line.new(bar_index, condLo , bar_index - consCnt, condLo , color=color.lime, style=line.style_dashed)
fill(plot(condHi, "", na, 1, plot.style_stepline, editable=false), plot(condLo, "", na, 1, plot.style_stepline, editable=false), paintCons and consCnt > 5 ? color.white : na, "", false)
//buy_col = color.new(#0ac20a,0)
//sell_col = color.new(#fd1605,0)
//text_col = color.new(#FFFFFF,0)
// -------- Bearish trend (blue) color selection --------
// getSellColor(count) =>
// if count == 1
// color.new(#11e7f2,0)
// else
// if count == 2
// color.new(#11d9f2,0)
// else
// if count == 3
// color.new(#11cbf2,0)
// else
// if count == 4
// color.new(#11aff2,0)
// else
// if count == 5
// color.new(#1193f2,0)
// else
// if count == 6
// color.new(#1176f2,0)
// else
// if count == 7
// color.new(#105df4,0)
// else
// if count == 8
// color.new(#1051f5,0)
// else
// if count == 9
// color.new(#0f44f5,0)
// else
// if count == 10
// color.new(#0c3de0,0)
// else
// if count == 11
// color.new(#0935ca,0)
// else
// if count == 12
// color.new(#062eb4,0)
// else
// if count == 13
// color.new(#02269e,0)
// -------- Bullish trend (blue) color selection --------
// getBuyColor(count) =>
// if count == 1
// color.new(#eef211,0)
// else
// if count == 2
// color.new(#efdc11,0)
// else
// if count == 3
// color.new(#f0c511,0)
// else
// if count == 4
// color.new(#f1af11,0)
// else
// if count == 5
// color.new(#f29811,0)
// else
// if count == 6
// color.new(#f28811,0)
// else
// if count == 7
// color.new(#f27811,0)
// else
// if count == 8
// color.new(#f26811,0)
// else
// if count == 9
// color.new(#f25811,0)
// else
// if count == 10
// color.new(#ea420d,0)
// else
// if count == 11
// color.new(#e12c09,0)
// else
// if count == 12
// color.new(#d81605,0)
// else
// if count == 13
// color.new(#cf0000,0)
// -------- Calculate bearish trend sequence --------
buySetup = 0
buySetup := close < close ? buySetup == 13 ? 1 : buySetup + 1 : 0
// -------- Calculate bullish trend sequence --------
sellSetup = 0
sellSetup := close > close ? sellSetup == 13 ? 1 : sellSetup + 1 : 0
// -------- Paint bars --------
//barColour = buySetup >= 1 ? getBuyColor(buySetup) : sellSetup >= 1 ? getSellColor(sellSetup) : na
// Candle Coloring
// Input
FastteyLength = 12
SjlowLeyLength = 26
srrrc = close
signalXLength = 9
// Data reference
= ta.macd(srrrc, FastteyLength, SjlowLeyLength, signalXLength)
// 4 level of green
greenHigh = #7bff00
greenMidHigh = #7bff00
greenMidLow = #7bff00
greenLow = #7bff00
// Yellow
yellowLow = #693d8e
// 4 level of red
redHigh = #ff0000
redMidHigh = #ff0000
redMidLow = #ff0000
redLow = #ff0000
// Default color
candleBody = yellowLow
// Ranging trend
if histX > 0
if histX > histX and histX > 0
candleBody := greenLow
if histX < 0
if histX < histX and histX < 0
candleBody := redLow
// Bullish trend
if MacdX > 0 and histX > 0
candleBody := greenMidLow
if histX > histX and MacdX > 0 and histX > 0
candleBody := greenMidHigh
if histX > histX and MacdX > 0 and histX > 0
candleBody := greenHigh
// Bearish trend
if MacdX < 0 and histX < 0
candleBody := redMidLow
if histX < histX and MacdX < 0 and histX < 0
candleBody := redMidHigh
if histX < histX and MacdX < 0 and histX < 0
candleBody := redHigh
barcolor(candleBody)
//barcolor(TrendMap == 'RSI Gradient' ? barColour : na, title='Bar colors (heatmap)',editable=false)
//barcolor(momentumCandles and candlesMom() ? color.rgb(187, 187, 187) : TrendMap == 'Signal Based' ? (Presets == "Trend Scalper" ? colorBar : na(countBull) and na(countBear) ? color.gray : trigger ? bullcolor : bearcolor) : TrendMap == 'RSI Gradient' ? barColour : TrendMap == 'Trend Gradient' ? candleBody : na , editable=false)
//plotcandle(open, high, low, close , color = momentumCandles and candlesMom() ? color.rgb(187, 187, 187) : TrendMap == 'Signal Based' ? (Presets == "Trend Scalper" ? colorBar : na(countBull) and na(countBear) ? color.gray : trigger ? bullcolor : bearcolor) : TrendMap == 'RSI Gradient' ? barColour : TrendMap == 'Trend Gradient' ? candleBody : na , editable=false , wickcolor = momentumCandles and candlesMom() ? color.rgb(187, 187, 187) : TrendMap == 'Signal Based' ? (Presets == "Trend Scalper" ? colorBar : na(countBull) and na(countBear) ? color.gray : trigger ? bullcolor : bearcolor) : TrendMap == 'RSI Gradient' ? barColour : TrendMap == 'Trend Gradient' ? candleBody : na , editable=false , bordercolor = momentumCandles and candlesMom() ? color.rgb(187, 187, 187) : TrendMap == 'Signal Based' ? (Presets == "Trend Scalper" ? colorBar : na(countBull) and na(countBear) ? color.gray : trigger ? bullcolor : bearcolor) : TrendMap == 'RSI Gradient' ? barColour : TrendMap == 'Trend Gradient' ? candleBody : na , editable=false , editable = false)
fill(plot(showTrendCloud and periodTrendCloud == "Smooth" ? ema150 : na, "", na, editable=false), plot(showTrendCloud and periodTrendCloud == "Smooth" ? ema250 : na, "", na, editable=false), ema150 > ema250 ? color.new(bullcolor, 70) : ema150 < ema250 ? color.new(bearcolor, 70) : na)
plot(ShowTrailingSL and trigger and nz(ta.barssince(low < trailingStop), bar_index) > countBull ? trailingStop : na, "", green, 1, plot.style_linebr, editable=false)
plot(ShowTrailingSL and not trigger and nz(ta.barssince(high > trailingStop), bar_index) > countBear ? trailingStop : na, "", red , 1, plot.style_linebr, editable=false)
p0 = plot(avgOC, "", na , editable=false)
p1 = plot(ema5 , "", colorEma5 , editable=false)
p2 = plot(ema9 , "", colorEma9 , editable=false)
p3 = plot(ema21, "", colorEma21, editable=false)
plot(LongTrendAverage ? ta.ema(close, 250) : na, 'Trend Tracer', linewidth=2, color=close > ta.ema(close, 250) ? color.new(bullcolor, 45) : color.new(bearcolor, 45))
fill(p0, p1, fillEma5 )
fill(p1, p2, fillEma9 )
fill(p2, p3, fillEma21)
fill(plot(showTrendCloud and periodTrendCloud != "Smooth" and periodTrendCloud != "Scalping+" and trendcloud != 0 and close > trendcloud ? trendcloud : na, "", bullcolor, 1, plot.style_linebr, editable=false), p0, color.new(bullcolor, 90))
fill(plot(showTrendCloud and periodTrendCloud != "Smooth" and periodTrendCloud != "Scalping+" and trendcloud != 0 and close < trendcloud ? trendcloud : na, "", bearcolor , 1, plot.style_linebr, editable=false), p0, color.new(bearcolor , 90))
//fill(plot(hma, "", hma > hma ? green : hma < hma ? red : na, editable=false), plot(hma , "", hma > hma ? green : hma < hma ? red : na, editable=false), hma > hma ? green : hma < hma ? red : na)
////////////////////////////////////////////////////////////////////////////////////////////////
// Get user input
indicatorTF = "Chart"
// Functions
sqz(bbLen, bbMult, kcLen, kcMult, source) =>
upperBB = ta.sma(source, bbLen) + ta.stdev(source, bbLen) * bbMult
lowerBB = ta.sma(source, bbLen) - ta.stdev(source, bbLen) * bbMult
upperKC = ta.sma(source, kcLen) + ta.sma(ta.tr, kcLen) * kcMult
lowerKC = ta.sma(source, kcLen) - ta.sma(ta.tr, kcLen) * kcMult
sqzOn = lowerBB > lowerKC and upperBB < upperKC
sqzOff = lowerBB < lowerKC and upperBB > upperKC
qqe(rsiLen, rsiSmooth, factor, source, bbLen, bbMult) =>
rsiMa = ta.ema(ta.rsi(source, rsiLen), rsiSmooth)
delta = ta.ema(ta.ema(math.abs(ta.mom(rsiMa, 1)), rsiLen * 2 - 1), rsiLen * 2 - 1) * factor
longBand = 0.0, longBand := rsiMa > longBand and rsiMa > longBand ? math.max(longBand , rsiMa - delta) : rsiMa - delta
shortBand = 0.0, shortBand := rsiMa < shortBand and rsiMa < shortBand ? math.min(shortBand , rsiMa + delta) : rsiMa + delta
cross1 = ta.cross(rsiMa, shortBand )
cross2 = ta.cross(rsiMa, longBand )
trend = 0.0, trend := cross1 ? 1 : cross2 ? -1 : nz(trend , 1)
fastDelta = trend == 1 ? longBand : shortBand
_hist = rsiMa - 50
_line = fastDelta - 50
= ta.bb(_line, bbLen, bbMult)
// Get components
cond(_offset) =>
top = ta.highest(high, 10)
bot = ta.lowest(low, 10)
osc = ta.ema(hlc3, 5) - ta.ema(ohlc4, 20)
oscRis = osc > osc
oscFal = osc < osc
oscA0 = osc > 0
oscB0 = osc < 0
oscTop = oscFal and oscRis
oscBot = oscRis and oscFal
bullR = oscB0 and oscBot and ((osc > ta.valuewhen(oscB0 and oscBot, osc, 1) and bot < ta.valuewhen(oscB0 and oscBot, bot, 1)))
bearR = oscA0 and oscTop and ((osc < ta.valuewhen(oscA0 and oscTop, osc, 1) and top > ta.valuewhen(oscA0 and oscTop, top, 1)))
bullH = oscB0 and oscBot and ((osc < ta.valuewhen(oscB0 and oscBot, osc, 1) and bot > ta.valuewhen(oscB0 and oscBot, bot, 1)))
bearH = oscA0 and oscTop and ((osc > ta.valuewhen(oscA0 and oscTop, osc, 1) and top < ta.valuewhen(oscA0 and oscTop, top, 1)))
= sqz(20, 2, 20, 2, close)
= qqe(6, 6, 3, close, 50, 0.001)
= qqe(6, 5, 1.618, close, 50, 1)
= ta.dmi(14, 14)
[osc , oscRis , oscFal , oscA0 , oscB0 , oscTop , oscBot , bullR , bearR , bullH , bearH , sqzOn , sqzOff , _hist1 , upper1 , lower1 , _hist2 , _line2 , tvr ]
tf = indicatorTF == "Chart" ? timeframe.period : indicatorTF == "1 minute" ? "1" : indicatorTF == "3 minutes" ? "3" : indicatorTF == "5 minutes" ? "5" : indicatorTF == "10 minutes" ? "10" : indicatorTF == "15 minutes" ? "15" : indicatorTF == "30 minutes" ? "30" : indicatorTF == "45 minutes" ? "45" : indicatorTF == "1 hour" ? "60" : indicatorTF == "2 hours" ? "120" : indicatorTF == "3 hours" ? "180" : indicatorTF == "4 hours" ? "240" : indicatorTF == "12 hours" ? "720" : indicatorTF == "1 day" ? "1D" : indicatorTF == "1 week" ? "1W" : indicatorTF == "1 month" ? "1M" : na
= request.security(syminfo.tickerid, tf, cond(indicatorTF != "Chart" and barstate.isrealtime ? 1 : 0))
//colorTVR = tvr < 15 ? #F6525F : tvr > 15 and tvr < 25 ? #B2B5BE : #66BB6A
// Plots
//plot(Presets == "Money Moves TrendVR" ? tvr : na, "", colorTVR, editable=false)
TrendText = "Trending"
if tvr < 15 and tvr < 25
TrendText := "No trend"
if tvr > 15 and tvr < 25
TrendText := "Ranging"
//------------------------------------------------------------------------------------------------------- Volatitiry
//Calculates Volatility for Dashboard
atrr = 3 * ta.atr(10)
stdAtr = 2 * ta.stdev(atrr, 20)
smaAtr = ta.sma(atrr, 20)
topAtrDev = smaAtr + stdAtr
bottomAtrDev = smaAtr - stdAtr
calcDev = (atrr - bottomAtrDev) / (topAtrDev - bottomAtrDev)
percentVol = 40 * calcDev + 30
AvrLength = 21
PercentFilter = 144
xAavrVolume = ta.rma(volume, AvrLength)
nResLess = volume * 100 / xAavrVolume < PercentFilter ? 0 : volume
nRes = nResLess
clr = close < open ? #b2b5be : #00dbff
//plot(nRes, color=clr, style=plot.style_columns, title='Volume Filter', transp=20)
VolitiText = "Inactive"
if nRes
VolitiText := "Active"
//////////////////////////////////////////
ema69 = ta.ema(close, 9)
totalSentTxt = ema69 > ema69 ? 'Bullish' : ema69 < ema69 ? 'Bearish' : 'Flat'
// INputs
//Timezones
tz_incr = 0
use_exchange = false
//------------------------------------------------------------------------------
//Settings
//-----------------------------------------------------------------------------{
//Session A
NYSes = true
NYTxt = 'New York'
NYTime = '1300-2200'
//Session B
LDSes = true
sesb_txt = 'London'
sesb_ses = '0700-1600'
//Session C
show_sesc = true
sesc_txt = 'Tokyo'
sesc_ses = '0000-0900'
//Session D
show_sesd = true
sesd_txt = 'Sydney'
sesd_ses = '2100-0600'
//-----------------------------------------------------------------------------}
//Sessions
//-----------------------------------------------------------------------------{
tff = timeframe.period
var tz = use_exchange ? syminfo.timezone :
str.format('UTC{0}{1}', tz_incr >= 0 ? '+' : '-', math.abs(tz_incr))
is_sesa = math.sign(nz(time(tff, NYTime, tz)))
is_sesb = math.sign(nz(time(tff, sesb_ses, tz)))
is_sesc = math.sign(nz(time(tff, sesc_ses, tz)))
is_sesd = math.sign(nz(time(tff, sesd_ses, tz)))
////////////////////////////////////////////
SessionText = "Default"
if is_sesd
SessionText := sesd_txt
if is_sesc
SessionText := sesc_txt
if is_sesb
SessionText := sesb_txt
if is_sesa
SessionText := NYTxt
if is_sesd and is_sesc
SessionText := "Sydney/Tokyo"
if is_sesb and is_sesc
SessionText := "Tokyo/London"
if is_sesb and is_sesa
SessionText := "London/Newyork"
if is_sesa and is_sesd
SessionText := "Newyork/Sydney"
//-----------------------------------------------------------------------------}
//Overlays color.green : color.red
//
var dashboard_loc = locationDashboard == "Top Right" ? position.top_right : locationDashboard == "Middle Right" ? position.middle_right : locationDashboard == "Bottom Right" ? position.bottom_right : locationDashboard == "Top Center" ? position.top_center : locationDashboard == "Middle Center" ? position.middle_center : locationDashboard == "Bottom Center" ? position.bottom_center : locationDashboard == "Top Left" ? position.top_left : locationDashboard == "Middle Left" ? position.middle_left : position.bottom_left
var dashboard_size = sizeDashboard == "Large" ? size.large : sizeDashboard == "Normal" ? size.normal : sizeDashboard == "Small" ? size.small : size.tiny
var dashboard = showDashboard ? table.new(dashboard_loc, 3, 7, color.rgb(0, 0, 0, 60), #3d384300, 2, color.rgb(30, 34, 45 , 60), 1) : na
dashboard_cell(column, row, txt, signal=false) => table.cell(dashboard, column, row, txt, 0, 0, signal ? #000000 : color.white, text_size=dashboard_size)
dashboard_cell_bg(column, row, col) => table.cell_set_bgcolor(dashboard, column, row, col)
if barstate.islast and showDashboard
// MTF Trend
dashboard_cell(0, 0 , "MTF")
dashboard_cell(0, 2 , "M5") , dashboard_cell_bg(0, 2 , TF5Bull ? color.rgb(70, 153, 67) : #880000)
dashboard_cell(0, 3 , "M15") , dashboard_cell_bg(0, 3 , TF15Bull ? color.rgb(70, 153, 67) : #880000)
dashboard_cell(0, 4 , "M30") , dashboard_cell_bg(0, 4 , TF30Bull ? color.rgb(70, 153, 67) : #880000)
dashboard_cell(0, 5 , "1H") , dashboard_cell_bg(0, 5 , TF60Bull ? color.rgb(70, 153, 67) : #880000)
dashboard_cell(0, 6 , "4H") , dashboard_cell_bg(0, 6 , TF240Bull ? color.rgb(70, 153, 67) : #880000)
// Middel part
dashboard_cell(1, 0 , "PoseidonPips")
dashboard_cell(1, 2 , "Market State")
dashboard_cell(1, 3 , "Volatility")
dashboard_cell(1, 4 , "Institutional Activity")
dashboard_cell(1, 5 , "Current Session (UTC)")
dashboard_cell(1, 6 , "Trend Pressure")
// End part
dashboard_cell(2, 0 , "")
dashboard_cell(2, 2 , TrendText)
dashboard_cell(2, 3 , str.tostring(percentVol, '##.##') + '%')
dashboard_cell(2, 4 , VolitiText)
dashboard_cell(2, 5 , SessionText)
dashboard_cell(2, 6 , totalSentTxt)
// Alerts
// Cross Functions for SL and TP
f_sl_crossed() =>
ret = false
crossBull = low >= ta.lowest(low, 5) and low < ta.lowest(low, 5)
crossBear = high <= ta.highest(high, 5) and high > ta.highest(high, 5)
ret := trigger ? crossBull : crossBear
ret
f_tp_crossed(tp) =>
ret = false
crossBull = high <= tp and high > tp
crossBear = low >= tp and low < tp
ret := trigger ? crossBull : crossBear
ret
// Alert Conditions
alert04 = bull and close <= StrongFilter
alert07 = bull and close > StrongFilter
alert09 = f_sl_crossed()
alert11 = f_tp_crossed(60.0)
alert12 = f_tp_crossed(80.0)
alert13 = f_tp_crossed(100.0)
alert14 = periodTrendCloud == "Smooth" ? ta.crossunder(ema150, ema250) : (close < trendcloud) and (close > trendcloud )
alert15 = periodTrendCloud == "Smooth" ? ta.crossover(ema150, ema250) : (close > trendcloud) and (close < trendcloud )
// Signal Alerts
if alert04 and Normalbuy_alert
alert('Buy Signal Alert !!!', alert.freq_once_per_bar_close)
alert(syminfo.tickerid)
if alert07 and Strongbuy_alert
alert('Strong Buy Signal Alert !!!', alert.freq_once_per_bar_close)
alert(syminfo.tickerid)
if (bear and close >= StrongFilter) and Normalsell_alert
alert('Sell Signal Alert !!!', alert.freq_once_per_bar_close)
alert(syminfo.tickerid)
if (bear and close < StrongFilter) and Strongsell_alert
alert('Strong Sell Signal Alert !!!', alert.freq_once_per_bar_close)
alert(syminfo.tickerid)
// Risk Management Alerts
if alert09 and slalert
alert('SL Alert !!!', alert.freq_once_per_bar_close)
alert(syminfo.tickerid)
if alert11 and tp1alert
alert('Target 1 Alert !!!', alert.freq_once_per_bar_close)
alert(syminfo.tickerid)
if alert12 and tp2alert
alert('Target 2 Alert !!!', alert.freq_once_per_bar_close)
alert(syminfo.tickerid)
if alert13 and tp3alert
alert('Target 3 Alert !!!', alert.freq_once_per_bar_close)
alert(syminfo.tickerid)
// Cloud Alerts
if alert15 and bullcrosscloud_alert
alert('Cloud Turned Bullish !!!', alert.freq_once_per_bar_close)
alert(syminfo.tickerid)
if alert14 and bearcrosscloud_alert
alert('Cloud Turned Bearish !!!', alert.freq_once_per_bar_close)
alert(syminfo.tickerid)
// Alert Conditions for TradingView
alertcondition(alert04, "Normal Buy Alert", "Normal Buy Signal")
alertcondition(alert07, "Strong Buy Alert", "Strong Buy Signal")
alertcondition((bear and close >= StrongFilter), "Normal Sell Alert", "Normal Sell Signal")
alertcondition((bear and close < StrongFilter), "Strong Sell Alert", "Strong Sell Signal")
alertcondition(alert09, "SL Crossed Alert", "Stop Loss Crossed")
alertcondition(alert11, "TP1 Crossed Alert", "Target 1 Crossed")
alertcondition(alert12, "TP2 Crossed Alert", "Target 2 Crossed")
alertcondition(alert13, "TP3 Crossed Alert", "Target 3 Crossed")
// Input
fastLength = 12
slowLength = 26
srcceed = close
signalLength = 9
// Data reference
= ta.macd(srcceed, fastLength, slowLength, signalLength)
// 4 level of green
greenHighh = #7bff00
greenMidHighh = #7bff00
greenMidLowh = #7bff00
greenLowh = #7bff00
// Yellow
yellowLowh = #693d8e
// 4 level of red
redHighh = #ff0000
redMidHighh = #ff0000
redMidLowh = #ff0000
redLowh = #ff0000
// Default color
candleBodyd = yellowLowh
// Ranging trend
if hist > 0
if hist > hist and hist > 0
candleBodyd := greenLowh
if hist < 0
if hist < hist and hist < 0
candleBodyd := redLowh
// Bullish trend
if macdda > 0 and hist > 0
candleBodyd := greenMidLowh
if hist > hist and macd > 0 and hist > 0
candleBodyd := greenMidHighh
if hist > hist and macd > 0 and hist > 0
candleBodyd := greenHighh
// Bearish trend
if macdda < 0 and hist < 0
candleBodyd := redMidLowh
if hist < hist and macd < 0 and hist < 0
candleBodyd := redMidHighh
if hist < hist and macd < 0 and hist < 0
candleBodyd := redHighh
barcolor(candleBodyd) // Include suggestion by Shaheen204
//
tenkan_len = 365
tenkan_mult = 3
kijun_len = 365
kijun_mult = 7
spanB_len = 365
spanB_mult = 10
offset = 1
//------------------------------------------------------------------------------
avg(src,length,mult)=>
atr = ta.atr(50)*mult
up = hl2 + atr
dn = hl2 - atr
upper = 0.,lower = 0.
upper := src < upper ? math.min(up,upper ) : up
lower := src > lower ? math.max(dn,lower ) : dn
os = 0,max = 0.,min = 0.
os := src > upper ? 1 : src < lower ? 0 : os
spt = os == 1 ? lower : upper
max := ta.cross(src,spt) ? math.max(src,max ) : os == 1 ? math.max(src,max ) : spt
min := ta.cross(src,spt) ? math.min(src,min ) : os == 0 ? math.min(src,min ) : spt
math.avg(max,min)
//------------------------------------------------------------------------------
tenkan = avg(close,tenkan_len,tenkan_mult)
kijun = avg(close,kijun_len,kijun_mult)
senkouA = math.avg(kijun,tenkan)
senkouB = avg(close,spanB_len,spanB_mult)
///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
//Smart Money Concept
settings = "Settings"
zigzag_len = input.int(9, "ZigZag Length", group=settings)
show_zigzag = input.bool(false, "Show Zigzag", group=settings)
fib_factor = input.float(0.33, "Fib Factor for breakout confirmation", 0, 1, 0.01, group=settings)
text_size = input.string(size.tiny, "Text Size", , group=settings)
delete_boxes = input.bool(true, "Delete Old/Broken Boxes", group=settings)
bu_ob_inline_color = "Bu-OB Colors"
be_ob_inline_color = "Be-OB Colors"
bu_bb_inline_color = "Bu-BB Colors"
be_bb_inline_color = "Be-BB Colors"
bu_ob_display_settings = "Bu-OB Display Settings"
bu_ob_color = input.color(color.new(color.green, 70), "Color", group=bu_ob_display_settings, inline=bu_ob_inline_color)
bu_ob_border_color = input.color(color.green, "Border Color", group=bu_ob_display_settings, inline=bu_ob_inline_color)
bu_ob_text_color = input.color(color.green, "Text Color", group=bu_ob_display_settings, inline=bu_ob_inline_color)
be_ob_display_settings = "Be-OB Display Settings"
be_ob_color = input.color(color.new(color.red, 70), "Color", group=be_ob_display_settings, inline=be_ob_inline_color)
be_ob_border_color = input.color(color.red, "Border Color", group=be_ob_display_settings, inline=be_ob_inline_color)
be_ob_text_color = input.color(color.red, "Text Color", group=be_ob_display_settings, inline=be_ob_inline_color)
bu_bb_display_settings = "Bu-BB & Bu-MB Display Settings"
bu_bb_color = input.color(color.new(color.green, 70), "Color", group=bu_bb_display_settings, inline=bu_bb_inline_color)
bu_bb_border_color = input.color(color.green, "Border Color", group=bu_bb_display_settings, inline=bu_bb_inline_color)
bu_bb_text_color = input.color(color.green, "Text Color", group=bu_bb_display_settings, inline=bu_bb_inline_color)
be_bb_display_settings = "Be-BB & Be-MB Display Settings"
be_bb_color = input.color(color.new(color.red, 70), "Color", group=be_bb_display_settings, inline=be_bb_inline_color)
be_bb_border_color = input.color(color.red, "Border Color", group=be_bb_display_settings, inline=be_bb_inline_color)
be_bb_text_color = input.color(color.red, "Text Color", group=be_bb_display_settings, inline=be_bb_inline_color)
var float high_points_arr = array.new_float(5)
var int high_index_arr = array.new_int(5)
var float low_points_arr = array.new_float(5)
var int low_index_arr = array.new_int(5)
var box bu_ob_boxes = array.new_box(5)
var box be_ob_boxes = array.new_box(5)
var box bu_bb_boxes = array.new_box(5)
var box be_bb_boxes = array.new_box(5)
to_up = high >= ta.highest(zigzag_len)
to_down = low <= ta.lowest(zigzag_len)
trend = 1
trend := nz(trend , 1)
trend := trend == 1 and to_down ? -1 : trend == -1 and to_up ? 1 : trend
last_trend_up_since = ta.barssince(to_up )
low_val = ta.lowest(nz(last_trend_up_since > 0 ? last_trend_up_since : 1, 1))
low_index = bar_index - ta.barssince(low_val == low)
last_trend_down_since = ta.barssince(to_down )
high_val = ta.highest(nz(last_trend_down_since > 0 ? last_trend_down_since : 1, 1))
high_index = bar_index - ta.barssince(high_val == high)
if ta.change(trend) != 0
if trend == 1
array.push(low_points_arr, low_val)
array.push(low_index_arr, low_index)
if trend == -1
array.push(high_points_arr, high_val)
array.push(high_index_arr, high_index)
f_get_high(ind) =>
f_get_low(ind) =>
f_delete_box(box_arr) =>
if delete_boxes
box.delete(array.shift(box_arr))
else
array.shift(box_arr)
0
= f_get_high(0)
= f_get_high(1)
= f_get_low(0)
= f_get_low(1)
if ta.change(trend) != 0 and show_zigzag
if trend == 1
line.new(h0i, h0, l0i, l0)
if trend == -1
line.new(l0i, l0, h0i, h0)
market = 1
market := nz(market , 1)
// market := market == 1 and close < l0 and low < l0 - math.abs(h0 - l0) * fib_factor ? -1 : market == -1 and close > h0 and high > h0 + math.abs(h0 - l0) * fib_factor ? 1 : market
last_l0 = ta.valuewhen(ta.change(market) != 0, l0, 0)
last_h0 = ta.valuewhen(ta.change(market) != 0, h0, 0)
market := last_l0 == l0 or last_h0 == h0 ? market : market == 1 and l0 < l1 and l0 < l1 - math.abs(h0 - l1) * fib_factor ? -1 : market == -1 and h0 > h1 and h0 > h1 + math.abs(h1 - l0) * fib_factor ? 1 : market
bu_ob_index = bar_index
bu_ob_index := nz(bu_ob_index , bar_index)
for i=h1i to l0i
index = bar_index - i
if open > close
bu_ob_index := bar_index
bu_ob_since = bar_index - bu_ob_index
be_ob_index = bar_index
be_ob_index := nz(be_ob_index , bar_index)
for i=l1i to h0i
index = bar_index - i
if open < close
be_ob_index := bar_index
be_ob_since = bar_index - be_ob_index
be_bb_index = bar_index
be_bb_index := nz(be_bb_index , bar_index)
for i=h1i - zigzag_len to l1i
index = bar_index - i
if open > close
be_bb_index := bar_index
be_bb_since = bar_index - be_bb_index
bu_bb_index = bar_index
bu_bb_index := nz(bu_bb_index , bar_index)
for i=l1i - zigzag_len to h1i
index = bar_index - i
if open < close
bu_bb_index := bar_index
bu_bb_since = bar_index - bu_bb_index
if ta.change(market) != 0
if market == 1
line.new(h1i, h1, h0i, h1, color=color.green, width=1)
label.new(int(math.avg(h1i, l0i)), h1, "BoS", color=color.new(color.black, 100), style=label.style_label_down, textcolor=color.green, size=size.small)
bu_ob = box.new(bu_ob_index, high , bar_index + 10, low , bgcolor=bu_ob_color, border_color=bu_ob_border_color, text="Bu-OB", text_color=bu_ob_text_color, text_halign=text.align_right, text_size=text_size)
bu_bb = box.new(bu_bb_index, high , bar_index + 10, low , bgcolor=bu_bb_color, border_color=bu_bb_border_color, text=l0 < l1 ? "Bu-BB" : "Bu-MB", text_color=bu_bb_text_color, text_halign=text.align_right, text_size=text_size)
array.push(bu_ob_boxes, bu_ob)
array.push(bu_bb_boxes, bu_bb)
if market == -1
line.new(l1i, l1, l0i, l1, color=color.red, width=1)
label.new(int(math.avg(l1i, h0i)), l1, "BoS", color=color.new(color.black, 100), style=label.style_label_up, textcolor=color.red, size=size.small)
be_ob = box.new(be_ob_index, high , bar_index + 10, low , bgcolor=be_ob_color, border_color=be_ob_border_color, text="Be-OB", text_color=be_ob_text_color, text_halign=text.align_right, text_size=text_size)
be_bb = box.new(be_bb_index, high , bar_index + 10, low , bgcolor=be_bb_color, border_color=be_bb_border_color, text=h0 > h1 ? "Be-BB" : "Be-MB", text_color=be_bb_text_color, text_halign=text.align_right, text_size=text_size)
array.push(be_ob_boxes, be_ob)
array.push(be_bb_boxes, be_bb)
for bull_ob in bu_ob_boxes
bottom = box.get_bottom(bull_ob)
top = box.get_top(bull_ob)
if close < bottom
f_delete_box(bu_ob_boxes)
else if close < top
alert("Price in the BU-OB zone")
else
box.set_right(bull_ob, bar_index + 10)
for bear_ob in be_ob_boxes
top = box.get_top(bear_ob)
bottom = box.get_bottom((bear_ob))
if close > top
f_delete_box(be_ob_boxes)
if close > bottom
alert("Price in the BE-OB zone")
else
box.set_right(bear_ob, bar_index + 10)
for bear_bb in be_bb_boxes
top = box.get_top(bear_bb)
bottom = box.get_bottom(bear_bb)
if close > top
f_delete_box(be_bb_boxes)
else if close > bottom
alert("Price in the BE-BB zone")
else
box.set_right(bear_bb, bar_index + 10)
for bull_bb in bu_bb_boxes
bottom = box.get_bottom(bull_bb)
top = box.get_top(bull_bb)
if close < bottom
f_delete_box(bu_bb_boxes)
else if close < top
alert("Price in the BU-BB zone")
else
box.set_right(bull_bb, bar_index + 10)
alertcondition(ta.change(market) != 0, "MSB", "MSB")
enableAutoTrend = input(true, "Enable Auto Trendlines", group="AUTO TRENDLINES SETTINGS")
srcTrendChannel = input(close, "Trend channel source", group="AUTO TRENDLINES SETTINGS")
lenTrendChannel = input.int(50, "Trend channel loopback", 2, group="AUTO TRENDLINES SETTINGS")
a = ta.wma(srcTrendChannel, lenTrendChannel), b = ta.sma(srcTrendChannel, lenTrendChannel)
A = 4 * b - 3 * a, B = 3 * a - 2 * b
m = (A - B) / (lenTrendChannel - 1)
d = 0., for i = 0 to lenTrendChannel - 1 by 1
l = B + m * i
d += math.pow(srcTrendChannel - l, 2)
rmse = math.sqrt(d / (lenTrendChannel - 1)) * 2
l(css, k) =>
line lr = enableAutoTrend ? line.new(bar_index - lenTrendChannel + 1, A + k, bar_index, B + k, extend=extend.right, color=css) : na
line.delete(lr )
l(#808080, rmse), l(#808080, 0), l(#808080,-rmse)
// ==========================================================================================
// === Dashboard with Telegram Link ===
var table myTable = table.new(position.top_center, 1, 1, border_width=1, frame_color=color.black, bgcolor=color.white)
table.cell(myTable, 0, 0, "", bgcolor=color.blue, text_color=color.white, text_size=size.normal)
INDIBOT ABO SALTAN
//@version=5
indicator("INDIBOT", shorttitle = "INDIBOT", overlay = true, max_lines_count = 500, max_labels_count = 500, max_boxes_count = 500, max_bars_back = 500, max_polylines_count = 100)
//-----------------------------------------------------------------------------{
//Boolean set
//-----------------------------------------------------------------------------{
s_BOS = 0
s_CHoCH = 1
i_BOS = 2
i_CHoCH = 3
i_pp_CHoCH = 4
green_candle = 5
red_candle = 6
s_CHoCHP = 7
i_CHoCHP = 8
boolean =
array.from(
false
, false
, false
, false
, false
, false
, false
, false
, false
)
//-----------------------------------------------------------------------------{
// User inputs
//-----------------------------------------------------------------------------{
show_swing_ms = input.string ("All" , "Swing " , inline = "1", group = "MARKET STRUCTURE" , options = )
show_internal_ms = input.string ("All" , "Internal " , inline = "2", group = "MARKET STRUCTURE" , options = )
internal_r_lookback = input.int (5 , "" , inline = "2", group = "MARKET STRUCTURE" , minval = 2)
swing_r_lookback = input.int (50 , "" , inline = "1", group = "MARKET STRUCTURE" , minval = 2)
ms_mode = input.string ("Manual" , "Market Structure Mode" , inline = "a", group = "MARKET STRUCTURE" , tooltip = " Use selected lenght Use automatic lenght" ,options = )
show_mtf_str = input.bool (true , "MTF Scanner" , inline = "9", group = "MARKET STRUCTURE" , tooltip = "Display Multi-Timeframe Market Structure Trend Directions. Green = Bullish. Red = Bearish")
show_eql = input.bool (false , "Show EQH/EQL" , inline = "6", group = "MARKET STRUCTURE")
plotcandle_bool = input.bool (false , "Plotcandle" , inline = "3", group = "MARKET STRUCTURE" , tooltip = "Displays a cleaner colored candlestick chart in place of the default candles. (requires hiding the current ticker candles)")
barcolor_bool = input.bool (false , "Bar Color" , inline = "4", group = "MARKET STRUCTURE" , tooltip = "Color the candle bodies according to market strucutre trend")
i_ms_up_BOS = input.color (#089981 , "" , inline = "2", group = "MARKET STRUCTURE")
i_ms_dn_BOS = input.color (#f23645 , "" , inline = "2", group = "MARKET STRUCTURE")
s_ms_up_BOS = input.color (#089981 , "" , inline = "1", group = "MARKET STRUCTURE")
s_ms_dn_BOS = input.color (#f23645 , "" , inline = "1", group = "MARKET STRUCTURE")
lvl_daily = input.bool (false , "Day " , inline = "1", group = "HIGHS & LOWS MTF")
lvl_weekly = input.bool (false , "Week " , inline = "2", group = "HIGHS & LOWS MTF")
lvl_monthly = input.bool (false , "Month" , inline = "3", group = "HIGHS & LOWS MTF")
lvl_yearly = input.bool (false , "Year " , inline = "4", group = "HIGHS & LOWS MTF")
css_d = input.color (color.blue , "" , inline = "1", group = "HIGHS & LOWS MTF")
css_w = input.color (color.blue , "" , inline = "2", group = "HIGHS & LOWS MTF")
css_m = input.color (color.blue , "" , inline = "3", group = "HIGHS & LOWS MTF")
css_y = input.color (color.blue , "" , inline = "4", group = "HIGHS & LOWS MTF")
s_d = input.string ('⎯⎯⎯' , '' , inline = '1', group = 'HIGHS & LOWS MTF' , options = )
s_w = input.string ('⎯⎯⎯' , '' , inline = '2', group = 'HIGHS & LOWS MTF' , options = )
s_m = input.string ('⎯⎯⎯' , '' , inline = '3', group = 'HIGHS & LOWS MTF' , options = )
s_y = input.string ('⎯⎯⎯' , '' , inline = '4', group = 'HIGHS & LOWS MTF' , options = )
ob_show = input.bool (true , "Show Last " , inline = "1", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Display volumetric order blocks on the chart Ammount of volumetric order blocks to show")
ob_num = input.int (5 , "" , inline = "1", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Orderblocks number", minval = 1, maxval = 10)
ob_metrics_show = input.bool (true , "Internal Buy/Sell Activity" , inline = "2", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Display volume metrics that have formed the orderblock")
css_metric_up = input.color (color.new(#089981, 50) , " " , inline = "2", group = "VOLUMETRIC ORDER BLOCKS")
css_metric_dn = input.color (color.new(#f23645 , 50) , "" , inline = "2", group = "VOLUMETRIC ORDER BLOCKS")
ob_swings = input.bool (false , "Swing Order Blocks" , inline = "a", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Display swing volumetric order blocks")
css_swing_up = input.color (color.new(color.gray , 90) , " " , inline = "a", group = "VOLUMETRIC ORDER BLOCKS")
css_swing_dn = input.color (color.new(color.silver, 90) , "" , inline = "a", group = "VOLUMETRIC ORDER BLOCKS")
ob_filter = input.string ("None" , "Filtering " , inline = "d", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Filter out volumetric order blocks by BOS/CHoCH/CHoCH+", options = )
ob_mitigation = input.string ("Absolute" , "Mitigation " , inline = "4", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Trigger to remove volumetric order blocks", options = )
ob_pos = input.string ("Precise" , "Positioning " , inline = "k", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Position of the Order Block Cover the whole candle Cover half candle Adjust to volatility Same as Accurate but more precise", options = )
use_grayscale = input.bool (false , "Grayscale" , inline = "6", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Use gray as basic order blocks color")
use_show_metric = input.bool (true , "Show Metrics" , inline = "7", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Show volume associated with the orderblock and his relevance")
use_middle_line = input.bool (true , "Show Middle-Line" , inline = "8", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Show mid-line order blocks")
use_overlap = input.bool (true , "Hide Overlap" , inline = "9", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = "Hide overlapping order blocks")
use_overlap_method = input.string ("Previous" , "Overlap Method " , inline = "Z", group = "VOLUMETRIC ORDER BLOCKS" , tooltip = " Preserve the most recent volumetric order blocks Preserve the previous volumetric order blocks", options = )
ob_bull_css = input.color (color.new(#089981 , 90) , "" , inline = "1", group = "VOLUMETRIC ORDER BLOCKS")
ob_bear_css = input.color (color.new(#f23645 , 90) , "" , inline = "1", group = "VOLUMETRIC ORDER BLOCKS")
show_acc_dist_zone = input.bool (false , "" , inline = "1", group = "Accumulation And Distribution")
zone_mode = input.string ("Fast" , "" , inline = "1", group = "Accumulation And Distribution" , tooltip = " Find small zone pattern formation Find bigger zone pattern formation" ,options = )
acc_css = input.color (color.new(#089981 , 60) , "" , inline = "1", group = "Accumulation And Distribution")
dist_css = input.color (color.new(#f23645 , 60) , "" , inline = "1", group = "Accumulation And Distribution")
show_lbl = input.bool (true , "Show swing point" , inline = "1", group = "High and Low" , tooltip = "Display swing point")
show_mtb = input.bool (true , "Show High/Low/Equilibrium" , inline = "2", group = "High and Low" , tooltip = "Display Strong/Weak High And Low and Equilibrium")
toplvl = input.color (color.red , "Premium Zone " , inline = "3", group = "High and Low")
midlvl = input.color (color.gray , "Equilibrium Zone" , inline = "4", group = "High and Low")
btmlvl = input.color (#089981 , "Discount Zone " , inline = "5", group = "High and Low")
fvg_enable = input.bool (false , " " , inline = "1", group = "FAIR VALUE GAP" , tooltip = "Display fair value gap")
what_fvg = input.string ("FVG" , "" , inline = "1", group = "FAIR VALUE GAP" , tooltip = "Display fair value gap", options = )
fvg_num = input.int (5 , "Show Last " , inline = "1a", group = "FAIR VALUE GAP" , tooltip = "Number of fvg to show")
fvg_upcss = input.color (color.new(#089981, 80) , "" , inline = "1", group = "FAIR VALUE GAP")
fvg_dncss = input.color (color.new(color.red , 80) , "" , inline = "1", group = "FAIR VALUE GAP")
fvg_extend = input.int (10 , "Extend FVG" , inline = "2", group = "FAIR VALUE GAP" , tooltip = "Extend the display of the FVG.")
fvg_src = input.string ("Close" , "Mitigation " , inline = "3", group = "FAIR VALUE GAP" , tooltip = " Use the close of the body as trigger Use the extreme point of the body as trigger", options = )
fvg_tf = input.timeframe ("" , "Timeframe " , inline = "4", group = "FAIR VALUE GAP" , tooltip = "Timeframe of the fair value gap")
t = color.t (ob_bull_css)
invcol = color.new (color.white , 100)
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - UDT }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
type bar
float o = open
float c = close
float h = high
float l = low
float v = volume
int n = bar_index
int t = time
type Zphl
line top
line bottom
label top_label
label bottom_label
bool stopcross
bool sbottomcross
bool itopcross
bool ibottomcross
string txtup
string txtdn
float topy
float bottomy
float topx
float bottomx
float tup
float tdn
int tupx
int tdnx
float itopy
float itopx
float ibottomy
float ibottomx
float uV
float dV
type FVG
box box
line ln
bool bull
float top
float btm
int left
int right
type ms
float p
int n
float l
type msDraw
int n
float p
color css
string txt
bool bull
type obC
float top
float btm
int left
float avg
float dV
float cV
int wM
int blVP
int brVP
int dir
float h
float l
int n
type obD
box ob
box eOB
box blB
box brB
line mL
type zone
chart.point points
float p
int c
int t
type hqlzone
box pbx
box ebx
box lbx
label plb
label elb
label lbl
type ehl
float pt
int t
float pb
int b
type pattern
string found = "None"
bool isfound = false
int period = 0
bool bull = false
type alerts
bool chochswing = false
bool chochplusswing = false
bool swingbos = false
bool chochplus = false
bool choch = false
bool bos = false
bool equal = false
bool ob = false
bool swingob = false
bool zone = false
bool fvg = false
bool obtouch = false
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - End }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - General Setup }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
bar b = bar.new()
var pattern p = pattern.new()
alerts blalert = alerts.new()
alerts bralert = alerts.new()
if p.isfound
p.period += 1
if p.period == 50
p.period := 0
p.found := "None"
p.isfound := false
p.bull := na
switch
b.c > b.o => boolean.set(green_candle, true)
b.c < b.o => boolean.set(red_candle , true)
f_zscore(src, lookback) =>
(src - ta.sma(src, lookback)) / ta.stdev(src, lookback)
var int iLen = internal_r_lookback
var int sLen = swing_r_lookback
vv = f_zscore(((close - close ) / close ) * 100,iLen)
if ms_mode == "Dynamic"
switch
vv >= 1.5 or vv <= -1.5 => iLen := 10
vv >= 1.6 or vv <= -1.6 => iLen := 9
vv >= 1.7 or vv <= -1.7 => iLen := 8
vv >= 1.8 or vv <= -1.8 => iLen := 7
vv >= 1.9 or vv <= -1.9 => iLen := 6
vv >= 2.0 or vv <= -2.0 => iLen := 5
=> iLen
var msline = array.new(0)
iH = ta.pivothigh(high, iLen, iLen)
sH = ta.pivothigh(high, sLen, sLen)
iL = ta.pivotlow (low , iLen, iLen)
sL = ta.pivotlow (low , sLen, sLen)
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - End }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - ARRAYS }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
hl () =>
= request.security(syminfo.tickerid , 'D' , hl() , lookahead = barmerge.lookahead_on)
= request.security(syminfo.tickerid , 'W' , hl() , lookahead = barmerge.lookahead_on)
= request.security(syminfo.tickerid , 'M' , hl() , lookahead = barmerge.lookahead_on)
= request.security(syminfo.tickerid , '12M', hl() , lookahead = barmerge.lookahead_on)
lstyle(style) =>
out = switch style
'⎯⎯⎯' => line.style_solid
'----' => line.style_dashed
'····' => line.style_dotted
mtfphl(h, l ,tf ,css, pdhl_style) =>
var line hl = line.new(
na
, na
, na
, na
, xloc = xloc.bar_time
, color = css
, style = lstyle(pdhl_style)
)
var line ll = line.new(
na
, na
, na
, na
, xloc = xloc.bar_time
, color = css
, style = lstyle(pdhl_style)
)
var label lbl = label.new(
na
, na
, xloc = xloc.bar_time
, text = str.format('P{0}L', tf)
, color = invcol
, textcolor = css
, size = size.small
, style = label.style_label_left
)
var label hlb = label.new(
na
, na
, xloc = xloc.bar_time
, text = str.format('P{0}H', tf)
, color = invcol
, textcolor = css
, size = size.small
, style = label.style_label_left
)
hy = ta.valuewhen(h != h , h , 1)
hx = ta.valuewhen(h == high , time , 1)
ly = ta.valuewhen(l != l , l , 1)
lx = ta.valuewhen(l == low , time , 1)
if barstate.islast
extension = time + (time - time ) * 50
line.set_xy1(hl , hx , hy)
line.set_xy2(hl , extension , hy)
label.set_xy(hlb, extension , hy)
line.set_xy1(ll , lx , ly)
line.set_xy2(ll , extension , ly)
label.set_xy(lbl, extension , ly)
if lvl_daily
mtfphl(pdh , pdl , 'D' , css_d, s_d)
if lvl_weekly
mtfphl(pwh , pwl , 'W' , css_w, s_w)
if lvl_monthly
mtfphl(pmh , pml, 'M' , css_m, s_m)
if lvl_yearly
mtfphl(pyh , pyl , '12M', css_y, s_y)
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - End }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - Market Structure }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
method darkcss(color css, float factor, bool bull) =>
blue = color.b(css) * (1 - factor)
red = color.r(css) * (1 - factor)
green = color.g(css) * (1 - factor)
color.rgb(red, green, blue, 0)
method f_line(msDraw d, size, style) =>
var line id = na
var label lbl = na
id := line.new(
d.n
, d.p
, b.n
, d.p
, color = d.css
, width = 1
, style = style
)
if msline.size() >= 250
line.delete(msline.shift())
msline.push(id)
lbl := label.new(
int(math.avg(d.n, b.n))
, d.p
, d.txt
, color = invcol
, textcolor = d.css
, style = d.bull ? label.style_label_down : label.style_label_up
, size = size
, text_font_family = font.family_monospace
)
structure(bool mtf) =>
msDraw drw = na
bool isdrw = false
bool isdrwS = false
var color css = na
var color icss = na
var int itrend = 0
var int trend = 0
bool bull_ob = false
bool bear_ob = false
bool s_bull_ob = false
bool s_bear_ob = false
n = bar_index
var ms up = ms.new(
array.new()
, array.new< int >()
, array.new()
)
var ms dn = ms.new(
array.new()
, array.new< int >()
, array.new()
)
var ms sup = ms.new(
array.new()
, array.new< int >()
, array.new()
)
var ms sdn = ms.new(
array.new()
, array.new< int >()
, array.new()
)
switch show_swing_ms
"All" => boolean.set(s_BOS , true ), boolean.set(s_CHoCH, true ) , boolean.set(s_CHoCHP, true )
"CHoCH" => boolean.set(s_BOS , false), boolean.set(s_CHoCH, true ) , boolean.set(s_CHoCHP, false )
"CHoCH+" => boolean.set(s_BOS , false), boolean.set(s_CHoCH, false) , boolean.set(s_CHoCHP, true )
"BOS" => boolean.set(s_BOS , true ), boolean.set(s_CHoCH, false) , boolean.set(s_CHoCHP, false )
"None" => boolean.set(s_BOS , false), boolean.set(s_CHoCH, false) , boolean.set(s_CHoCHP, false )
=> na
switch show_internal_ms
"All" => boolean.set(i_BOS, true ), boolean.set(i_CHoCH, true ), boolean.set(i_CHoCHP, true )
"CHoCH" => boolean.set(i_BOS, false), boolean.set(i_CHoCH, true ), boolean.set(i_CHoCHP, false)
"CHoCH+" => boolean.set(i_BOS, false), boolean.set(i_CHoCH, false ), boolean.set(i_CHoCHP, true )
"BOS" => boolean.set(i_BOS, true ), boolean.set(i_CHoCH, false ), boolean.set(i_CHoCHP, false)
"None" => boolean.set(i_BOS, false), boolean.set(i_CHoCH, false ), boolean.set(i_CHoCHP, false)
=> na
switch
iH =>
up.p.unshift(b.h )
up.l.unshift(b.h )
up.n.unshift(n )
iL =>
dn.p.unshift(b.l )
dn.l.unshift(b.l )
dn.n.unshift(n )
sL =>
sdn.p.unshift(b.l )
sdn.l.unshift(b.l )
sdn.n.unshift(n )
sH =>
sup.p.unshift(b.h )
sup.l.unshift(b.h )
sup.n.unshift(n )
// INTERNAL BULLISH STRUCTURE
if up.p.size() > 0 and dn.l.size() > 1
if ta.crossover(b.c, up.p.first())
bool CHoCH = na
string txt = na
if itrend < 0
CHoCH := true
switch
not CHoCH =>
txt := "BOS"
css := i_ms_up_BOS
blalert.bos := true
if boolean.get(i_BOS) and mtf == false and na(drw)
isdrw := true
drw := msDraw.new(
up.n.first()
, up.p.first()
, i_ms_up_BOS
, txt
, true
)
CHoCH =>
dn.l.first() > dn.l.get(1) ? blalert.chochplus : blalert.choch
txt := dn.l.first() > dn.l.get(1) ? "CHoCH+" : "CHoCH"
css := i_ms_up_BOS.darkcss(0.25, true)
if (dn.l.first() > dn.l.get(1) ? boolean.get(i_CHoCHP) : boolean.get(i_CHoCH)) and mtf == false and na(drw)
isdrw := true
drw := msDraw.new(
up.n.first()
, up.p.first()
, i_ms_up_BOS.darkcss(0.25, true)
, txt
, true
)
if mtf == false
switch
ob_filter == "None" => bull_ob := true
ob_filter == "BOS" and txt == "BOS" => bull_ob := true
ob_filter == "CHoCH" and txt == "CHoCH" => bull_ob := true
ob_filter == "CHoCH+" and txt == "CHoCH+" => bull_ob := true
itrend := 1
up.n.clear()
up.p.clear()
// INTERNAL BEARISH STRUCTURE
if dn.p.size() > 0 and up.l.size() > 1
if ta.crossunder(b.c, dn.p.first())
bool CHoCH = na
string txt = na
if itrend > 0
CHoCH := true
switch
not CHoCH =>
bralert.bos := true
txt := "BOS"
css := i_ms_dn_BOS
if boolean.get(i_BOS) and mtf == false and na(drw)
isdrw := true
drw := msDraw.new(
dn.n.first()
, dn.p.first()
, i_ms_dn_BOS
, txt
, false
)
CHoCH =>
if up.l.first() < up.l.get(1)
bralert.chochplus := true
else
bralert.choch := true
txt := up.l.first() < up.l.get(1) ? "CHoCH+" : "CHoCH"
css := i_ms_dn_BOS.darkcss(0.25, false)
if (up.l.first() < up.l.get(1) ? boolean.get(i_CHoCHP) : boolean.get(i_CHoCH)) and mtf == false and na(drw)
isdrw := true
drw := msDraw.new(
dn.n.first()
, dn.p.first()
, i_ms_dn_BOS.darkcss(0.25, false)
, txt
, false
)
if mtf == false
switch
ob_filter == "None" => bear_ob := true
ob_filter == "BOS" and txt == "BOS" => bear_ob := true
ob_filter == "CHoCH" and txt == "CHoCH" => bear_ob := true
ob_filter == "CHoCH+" and txt == "CHoCH+" => bear_ob := true
itrend := -1
dn.n.clear()
dn.p.clear()
// SWING BULLISH STRUCTURE
if sup.p.size() > 0 and sdn.l.size() > 1
if ta.crossover(b.c, sup.p.first())
bool CHoCH = na
string txt = na
if trend < 0
CHoCH := true
switch
not CHoCH =>
blalert.swingbos := true
txt := "BOS"
icss := s_ms_up_BOS
if boolean.get(s_BOS) and mtf == false and na(drw)
isdrwS := true
drw := msDraw.new(
sup.n.first()
, sup.p.first()
, s_ms_up_BOS
, txt
, true
)
CHoCH =>
if sdn.l.first() > sdn.l.get(1)
blalert.chochplusswing := true
else
blalert.chochswing := true
txt := sdn.l.first() > sdn.l.get(1) ? "CHoCH+" : "CHoCH"
icss := s_ms_up_BOS.darkcss(0.25, true)
if (sdn.l.first() > sdn.l.get(1) ? boolean.get(s_CHoCHP) : boolean.get(s_CHoCH)) and mtf == false and na(drw)
isdrwS := true
drw := msDraw.new(
sup.n.first()
, sup.p.first()
, s_ms_up_BOS.darkcss(0.25, true)
, txt
, true
)
if mtf == false
switch
ob_filter == "None" => s_bull_ob := true
ob_filter == "BOS" and txt == "BOS" => s_bull_ob := true
ob_filter == "CHoCH" and txt == "CHoCH" => s_bull_ob := true
ob_filter == "CHoCH+" and txt == "CHoCH+" => s_bull_ob := true
trend := 1
sup.n.clear()
sup.p.clear()
// SWING BEARISH STRUCTURE
if sdn.p.size() > 0 and sup.l.size() > 1
if ta.crossunder(b.c, sdn.p.first())
bool CHoCH = na
string txt = na
if trend > 0
CHoCH := true
switch
not CHoCH =>
bralert.swingbos := true
txt := "BOS"
icss := s_ms_dn_BOS
if boolean.get(s_BOS) and mtf == false and na(drw)
isdrwS := true
drw := msDraw.new(
sdn.n.first()
, sdn.p.first()
, s_ms_dn_BOS
, txt
, false
)
CHoCH =>
if sup.l.first() < sup.l.get(1)
bralert.chochplusswing := true
else
bralert.chochswing := true
txt := sup.l.first() < sup.l.get(1) ? "CHoCH+" : "CHoCH"
icss := s_ms_dn_BOS.darkcss(0.25, false)
if (sup.l.first() < sup.l.get(1) ? boolean.get(s_CHoCHP) : boolean.get(s_CHoCH)) and mtf == false and na(drw)
isdrwS := true
drw := msDraw.new(
sdn.n.first()
, sdn.p.first()
, s_ms_dn_BOS.darkcss(0.25, false)
, txt
, false
)
if mtf == false
switch
ob_filter == "None" => s_bear_ob := true
ob_filter == "BOS" and txt == "BOS" => s_bear_ob := true
ob_filter == "CHoCH" and txt == "CHoCH" => s_bear_ob := true
ob_filter == "CHoCH+" and txt == "CHoCH+" => s_bear_ob := true
trend := -1
sdn.n.clear()
sdn.p.clear()
= structure(false)
if isdrw
f_line(drw, size.small, line.style_dashed)
if isdrwS
f_line(drw, size.small, line.style_solid)
= request.security("", "15" , structure(true))
= request.security("", "60" , structure(true))
= request.security("", "240" , structure(true))
= request.security("", "1440" , structure(true))
if show_mtf_str
var tab = table.new(position = position.top_right, columns = 10, rows = 10, bgcolor = na, frame_color = color.rgb(54, 58, 69, 0), frame_width = 1, border_color = color.rgb(54, 58, 69, 100), border_width = 1)
table.cell(tab, 0, 1, text = "15" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2)
table.cell(tab, 0, 2, text = "1H" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2)
table.cell(tab, 0, 3, text = "4H" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2)
table.cell(tab, 0, 4, text = "1D" , text_color = color.silver, text_halign = text.align_center, text_size = size.normal, bgcolor = chart.bg_color, text_font_family = font.family_monospace, width = 2)
table.cell(tab, 1, 1, text = itrend15 == 1 ? "BULLISH" : itrend15 == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend15 == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend15 == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace)
table.cell(tab, 1, 2, text = itrend1H == 1 ? "BULLISH" : itrend1H == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend1H == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend1H == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace)
table.cell(tab, 1, 3, text = itrend4H == 1 ? "BULLISH" : itrend4H == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend4H == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend4H == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace)
table.cell(tab, 1, 4, text = itrend1D == 1 ? "BULLISH" : itrend1D == -1 ? "BEARISH" : na , text_halign = text.align_center, text_size = size.normal, text_color = itrend1D == 1 ? i_ms_up_BOS.darkcss(-0.25, true) : itrend1D == -1 ? i_ms_dn_BOS.darkcss(0.25, false) : color.gray, bgcolor = chart.bg_color, text_font_family = font.family_monospace)
table.cell(tab, 0, 5, text = "Detected Pattern", text_halign = text.align_center, text_size = size.normal, text_color = color.silver, bgcolor = chart.bg_color, text_font_family = font.family_monospace)
table.cell(tab, 0, 6, text = p.found, text_halign = text.align_center, text_size = size.normal, text_color = na(p.bull) ? color.white : p.bull ? i_ms_up_BOS.darkcss(-0.25, true) : p.bull == false ? i_ms_dn_BOS.darkcss(0.25, false) : na, bgcolor = chart.bg_color, text_font_family = font.family_monospace)
table.merge_cells(tab, 0, 5, 1, 5)
table.merge_cells(tab, 0, 6, 1, 6)
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - End }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - Strong/Weak High/Low And Equilibrium }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
var phl = Zphl.new(
na
, na
, label.new(na , na , color = invcol , textcolor = i_ms_dn_BOS , style = label.style_label_down , size = size.tiny , text = "")
, label.new(na , na , color = invcol , textcolor = i_ms_up_BOS , style = label.style_label_up , size = size.tiny , text = "")
, true
, true
, true
, true
, ""
, ""
, 0
, 0
, 0
, 0
, high
, low
, 0
, 0
, 0
, 0
, 0
, 0
, na
, na
)
zhl(len)=>
upper = ta.highest(len)
lower = ta.lowest(len)
var float out = 0
out := b.h > upper ? 0 : b.l < lower ? 1 : out
top = out == 0 and out != 0 ? b.h : 0
btm = out == 1 and out != 1 ? b.l : 0
= zhl(sLen)
= zhl(iLen)
upphl(trend) =>
var label lbl = label.new(
na
, na
, color = invcol
, textcolor = toplvl
, style = label.style_label_down
, size = size.small
)
if top
phl.stopcross := true
phl.txtup := top > phl.topy ? "HH" : "HL"
if show_lbl
topl = label.new(
b.n - swing_r_lookback
, top
, phl.txtup
, color = invcol
, textcolor = toplvl
, style = label.style_label_down
, size = size.small
)
line.delete(phl.top )
phl.top := line.new(
b.n - sLen
, top
, b.n
, top
, color = toplvl)
phl.topy := top
phl.topx := b.n - sLen
phl.tup := top
phl.tupx := b.n - sLen
if itop
phl.itopcross := true
phl.itopy := itop
phl.itopx := b.n - iLen
phl.tup := math.max(high, phl.tup)
phl.tupx := phl.tup == high ? b.n : phl.tupx
phl.uV := phl.tup != phl.tup ? b.v : phl.uV
if barstate.islast
line.set_xy1(
phl.top
, phl.tupx
, phl.tup
)
line.set_xy2(
phl.top
, b.n + 50
, phl.tup
)
label.set_x(
lbl
, b.n + 50
)
label.set_y(
lbl
, phl.tup
)
dist = math.abs(phl.uV / (phl.uV + phl.dV)) * 100
label.set_text (lbl, trend < 0
? "Strong High | " + str.tostring(phl.uV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)"
: "Weak High | " + str.tostring(phl.uV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)")
dnphl(trend) =>
var label lbl = label.new(
na
, na
, color = invcol
, textcolor = btmlvl
, style = label.style_label_up
, size = size.small
)
if btm
phl.sbottomcross := true
phl.txtdn := btm > phl.bottomy ? "LH" : "LL"
if show_lbl
btml = label.new(
b.n - swing_r_lookback
, btm, phl.txtdn
, color = invcol
, textcolor = btmlvl
, style = label.style_label_up
, size = size.small
)
line.delete(phl.bottom )
phl.bottom := line.new(
b.n - sLen
, btm
, b.n
, btm
, color = btmlvl
)
phl.bottomy := btm
phl.bottomx := b.n - sLen
phl.tdn := btm
phl.tdnx := b.n - sLen
if ibtm
phl.ibottomcross := true
phl.ibottomy := ibtm
phl.ibottomx := b.n - iLen
phl.tdn := math.min(low, phl.tdn)
phl.tdnx := phl.tdn == low ? b.n : phl.tdnx
phl.dV := phl.tdn != phl.tdn ? b.v : phl.dV
if barstate.islast
line.set_xy1(
phl.bottom
, phl.tdnx
, phl.tdn
)
line.set_xy2(
phl.bottom
, b.n + 50
, phl.tdn
)
label.set_x(
lbl
, b.n + 50
)
label.set_y(
lbl
, phl.tdn
)
dist = math.abs(phl.dV / (phl.uV + phl.dV)) * 100
label.set_text (lbl, trend > 0
? "Strong Low | " + str.tostring(phl.dV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)"
: "Weak Low | " + str.tostring(phl.uV, format.volume) + " (" + str.tostring(math.round(dist,0)) + "%)")
midphl() =>
avg = math.avg(phl.bottom.get_y2(), phl.top.get_y2())
var line l = line.new(
y1 = avg
, y2 = avg
, x1 = b.n - sLen
, x2 = b.n + 50
, color = midlvl
, style = line.style_solid
)
var label lbl = label.new(
x = b.n + 50
, y = avg
, text = "Equilibrium"
, style = label.style_label_left
, color = invcol
, textcolor = midlvl
, size = size.small
)
if barstate.islast
more = (phl.bottom.get_x1() + phl.bottom.get_x2()) > (phl.top.get_x1() + phl.top.get_x2()) ? phl.top.get_x1() : phl.bottom.get_x1()
line.set_xy1(l , more , avg)
line.set_xy2(l , b.n + 50, avg)
label.set_x (lbl , b.n + 50 )
label.set_y (lbl , avg )
dist = math.abs((l.get_y2() - close) / close) * 100
label.set_text (lbl, "Equilibrium (" + str.tostring(math.round(dist,0)) + "%)")
hqlzone() =>
if barstate.islast
var hqlzone dZone = hqlzone.new(
box.new(
na
, na
, na
, na
, bgcolor = color.new(toplvl, 70)
, border_color = na
)
, box.new(
na
, na
, na
, na
, bgcolor = color.new(midlvl, 70)
, border_color = na
)
, box.new(
na
, na
, na
, na
, bgcolor = color.new(btmlvl, 70)
, border_color = na
)
, label.new(na, na, text = "Premium" , color = invcol, textcolor = toplvl, style = label.style_label_down, size = size.small)
, label.new(na, na, text = "Equilibrium", color = invcol, textcolor = midlvl, style = label.style_label_left, size = size.small)
, label.new(na, na, text = "Discount" , color = invcol, textcolor = btmlvl, style = label.style_label_up , size = size.small)
)
dZone.pbx.set_lefttop(int(math.max(phl.topx, phl.bottomx)) , phl.tup)
dZone.pbx.set_rightbottom(b.n + 50 , 0.95 * phl.tup + 0.05 * phl.tdn)
dZone.ebx.set_lefttop(int(math.max(phl.topx, phl.bottomx)), 0.525 * phl.tup + 0.475 * phl.tdn)
dZone.ebx.set_rightbottom(b.n + 50 , 0.525 * phl.tdn + 0.475 * phl.tup)
dZone.lbx.set_lefttop(int(math.max(phl.topx, phl.bottomx)), 0.95 * phl.tdn + 0.05 * phl.tup)
dZone.lbx.set_rightbottom(b.n + 50 , phl.tdn)
dZone.plb.set_xy( int(math.avg(math.max(phl.topx, phl.bottomx), int(b.n + 50))) , phl.tup)
dZone.elb.set_xy( int(b.n + 50) , math.avg(phl.tup, phl.tdn))
dZone.lbl.set_xy( int(math.avg(math.max(phl.topx, phl.bottomx), int(b.n + 50))) , phl.tdn)
if show_mtb
upphl (trend)
dnphl (trend)
hqlzone()
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - End }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - Volumetric Order Block }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
method eB(box b, bool ext, color css, bool swing) =>
b.unshift(
box.new(
na
, na
, na
, na
, xloc = xloc.bar_time
, text_font_family = font.family_monospace
, extend = ext ? extend.right : extend.none
, border_color = swing ? color.new(css, 0) : color.new(color.white,100)
, bgcolor = css
, border_width = 1
)
)
method eL(line l, bool ext, bool solid, color css) =>
l.unshift(
line.new(
na
, na
, na
, na
, width = 1
, color = css
, xloc = xloc.bar_time
, extend = ext ? extend.right : extend.none
, style = solid ? line.style_solid : line.style_dashed
)
)
method drawVOB(bool cdn, bool bull, color css, int loc, bool swing) =>
= request.security(
syminfo.tickerid
, ""
,
, lookahead = barmerge.lookahead_off
)
var obC obj = obC.new(
array.new()
, array.new()
, array.new< int >()
, array.new()
, array.new()
, array.new()
, array.new< int >()
, array.new< int >()
, array.new< int >()
, array.new< int >()
, array.new()
, array.new()
, array.new< int >()
)
var obD draw = obD.new(
array.new()
, array.new()
, array.new()
, array.new()
, array.new()
)
if barstate.isfirst
for i = 0 to ob_num - 1
draw.mL .eL(false, false, use_grayscale ? color.new(color.gray, 0) : color.new(css,0))
draw.ob .eB(false, use_grayscale ? color.new(color.gray, 90) : css, swing)
draw.blB.eB(false, css_metric_up , swing)
draw.brB.eB(false, css_metric_dn , swing)
draw.eOB.eB(true , use_grayscale ? color.new(color.gray, 90) : css, swing)
float pos = ob_pos == "Full"
? (bull ? high : low)
: ob_pos == "Middle"
? ohlc4
: ob_pos == "Accurate"
? hl2
: hl2
if cdn
obj.h.clear()
obj.l.clear()
obj.n.clear()
for i = 0 to math.abs((loc - b.n)) - 1
obj.h.push(hH )
obj.l.push(lL )
obj.n.push(b.t )
// obj.h.reverse()
// obj.l.reverse()
int iU = obj.l.indexof(obj.l.min()) + 1
int iD = obj.h.indexof(obj.h.max()) + 1
obj.dir.unshift(
bull
? (b.c > b.o ? 1 : -1)
: (b.c > b.o ? 1 : -1)
)
obj.top.unshift(
bull
? pos
: obj.h.max()
)
obj.btm.unshift(
bull
? obj.l.min()
: pos
)
obj.left.unshift(
bull
? obj.n.get(obj.l.indexof(obj.l.min()))
: obj.n.get(obj.h.indexof(obj.h.max()))
)
obj.avg.unshift(
math.avg(obj.top.first(), obj.btm.first())
)
obj.cV.unshift(
bull
? b.v
: b.v
)
if ob_pos == "Precise"
switch bull
true =>
if obj.avg.get(0) < (b.c < b.o ? b.c : b.o ) and obj.top.get(0) > hlcc4
obj.top.set(0, obj.avg.get(0))
obj.avg.set(0, math.avg(obj.top.first(), obj.btm.first()))
false =>
if obj.avg.get(0) > (b.c < b.o ? b.o : b.c ) and obj.btm.get(0) < hlcc4
obj.btm.set(0, obj.avg.get(0))
obj.avg.set(0, math.avg(obj.top.first(), obj.btm.first()))
obj.blVP.unshift ( 0 )
obj.brVP.unshift ( 0 )
obj.wM .unshift ( 1 )
if use_overlap
int rmP = use_overlap_method == "Recent" ? 1 : 0
if obj.avg.size() > 1
if bull
? obj.btm.first() < obj.top.get(1)
: obj.top.first() > obj.btm.get(1)
obj.wM .remove(rmP)
obj.cV .remove(rmP)
obj.dir .remove(rmP)
obj.top .remove(rmP)
obj.avg .remove(rmP)
obj.btm .remove(rmP)
obj.left .remove(rmP)
obj.blVP .remove(rmP)
obj.brVP .remove(rmP)
if barstate.isconfirmed
for x = 0 to ob_num - 1
tg = switch ob_mitigation
"Middle" => obj.avg
"Absolute" => bull ? obj.btm : obj.top
for in tg
if (bull ? cC < pt : cC > pt)
obj.wM .remove(idx)
obj.cV .remove(idx)
obj.dir .remove(idx)
obj.top .remove(idx)
obj.avg .remove(idx)
obj.btm .remove(idx)
obj.left .remove(idx)
obj.blVP .remove(idx)
obj.brVP .remove(idx)
if barstate.islast
if obj.avg.size() > 0
// Alert
if bull
? ta.crossunder(low , obj.top.get(0))
: ta.crossover (high, obj.btm.get(0))
switch bull
true => blalert.obtouch := true
false => bralert.obtouch := true
float tV = 0
obj.dV.clear()
seq = math.min(ob_num - 1, obj.avg.size() - 1)
for j = 0 to seq
tV += obj.cV.get(j)
if j == seq
for y = 0 to seq
obj.dV.unshift(
math.floor(
(obj.cV.get(y) / tV) * 100)
)
obj.dV.reverse()
for i = 0 to math.min(ob_num - 1, obj.avg.size() - 1)
dmL = draw.mL .get(i)
dOB = draw.ob .get(i)
dblB = draw.blB.get(i)
dbrB = draw.brB.get(i)
deOB = draw.eOB.get(i)
dOB.set_lefttop (obj.left .get(i) , obj.top.get(i))
deOB.set_lefttop (b.t , obj.top.get(i))
dOB.set_rightbottom (b.t , obj.btm.get(i))
deOB.set_rightbottom(b.t + (b.t - b.t ) * 100 , obj.btm.get(i))
if use_middle_line
dmL.set_xy1(obj.left.get(i), obj.avg.get(i))
dmL.set_xy2(b.t , obj.avg.get(i))
if ob_metrics_show
dblB.set_lefttop (obj.left.get(i), obj.top.get(i))
dbrB.set_lefttop (obj.left.get(i), obj.avg.get(i))
dblB.set_rightbottom(obj.left.get(i), obj.avg.get(i))
dbrB.set_rightbottom(obj.left.get(i), obj.btm.get(i))
rpBL = dblB.get_right()
rpBR = dbrB.get_right()
dbrB.set_right(rpBR + (b.t - b.t ) * obj.brVP.get(i))
dblB.set_right(rpBL + (b.t - b.t ) * obj.blVP.get(i))
if use_show_metric
txt = switch
obj.cV.get(i) >= 1000000000 => str.tostring(math.round(obj.cV.get(i) / 1000000000,3)) + "B"
obj.cV.get(i) >= 1000000 => str.tostring(math.round(obj.cV.get(i) / 1000000,3)) + "M"
obj.cV.get(i) >= 1000 => str.tostring(math.round(obj.cV.get(i) / 1000,3)) + "K"
obj.cV.get(i) < 1000 => str.tostring(math.round(obj.cV.get(i)))
deOB.set_text(
str.tostring(
txt + " (" + str.tostring(obj.dV.get(i)) + "%)")
)
deOB.set_text_size (size.auto)
deOB.set_text_halign(text.align_left)
deOB.set_text_color (use_grayscale ? color.silver : color.new(css, 0))
if ob_metrics_show and barstate.isconfirmed
if obj.wM.size() > 0
for i = 0 to obj.avg.size() - 1
switch obj.dir.get(i)
1 =>
switch obj.wM.get(i)
1 => obj.blVP.set(i, obj.blVP.get(i) + 1), obj.wM.set(i, 2)
2 => obj.blVP.set(i, obj.blVP.get(i) + 1), obj.wM.set(i, 3)
3 => obj.brVP.set(i, obj.brVP.get(i) + 1), obj.wM.set(i, 1)
-1 =>
switch obj.wM.get(i)
1 => obj.brVP.set(i, obj.brVP.get(i) + 1), obj.wM.set(i, 2)
2 => obj.brVP.set(i, obj.brVP.get(i) + 1), obj.wM.set(i, 3)
3 => obj.blVP.set(i, obj.blVP.get(i) + 1), obj.wM.set(i, 1)
var hN = array.new(1, b.n)
var lN = array.new(1, b.n)
var hS = array.new(1, b.n)
var lS = array.new(1, b.n)
if iH
hN.pop()
hN.unshift(int(b.n ))
if iL
lN.pop()
lN.unshift(int(b.n ))
if sH
hS.pop()
hS.unshift(int(b.n ))
if sL
lS.pop()
lS.unshift(int(b.n ))
if ob_show
bull_ob.drawVOB(true , ob_bull_css, hN.first(), false)
bear_ob.drawVOB(false, ob_bear_css, lN.first(), false)
if ob_swings
s_bull_ob.drawVOB(true , css_swing_up, hS.first(), true)
s_bear_ob.drawVOB(false, css_swing_dn, lS.first(), true)
if bull_ob
blalert.ob := true
if bear_ob
bralert.ob := true
if s_bull_ob
blalert.swingob := true
if s_bear_ob
blalert.swingob := true
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - End }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{ - FVG | VI | OG }
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
//{----------------------------------------------------------------------------------------------------------------------------------------------}
ghl() => request.security(syminfo.tickerid, fvg_tf, [high , low , close , open ])
tfG() => request.security(syminfo.tickerid, fvg_tf, )
cG(bool bull) =>
= ghl()
= tfG()
var FVG draw = FVG.new(
array.new()
, array.new()
)
var FVG cords = array.new()
float pup = na
float pdn = na
bool cdn = na
int pos = 2
cc = timeframe.change(fvg_tf)
if barstate.isfirst
for i = 0 to fvg_num - 1
draw.box.unshift(box.new (na, na, na, na, border_color = color.new(color.white, 100), xloc = xloc.bar_time))
draw.ln.unshift (line.new(na, na, na, na, xloc = xloc.bar_time, width = 1, style = line.style_solid))
switch what_fvg
"FVG" =>
pup := bull ? gl : l
pdn := bull ? h : gh
cdn := bull ? gl > h and cc : gh < l and cc
pos := 2
"VI" =>
pup := bull
? (gc > go
? go
: gc)
: (gc > go
? go
: gc )
pdn := bull
? (gc > go
? gc
: go )
: (gc > go
? gc
: go)
cdn := bull
? go > gc and gh > gl and gc > gc and go > go and gh < math.min(gc, go) and cc
: go < gc and gl < gh and gc < gc and go < go and gl > math.max(gc, go) and cc
pos := 1
"OG" =>
pup := bull ? b.l : gl
pdn := bull ? gh : gh
cdn := bull ? gl > gh and cc : gh < gl and cc
pos := 1
if not na(cdn ) and cdn
cords.unshift(
FVG.new(
na
, na
, bull
? true
OSTDV SeppeMILLIONAIRE CHEAT CODE, time based stdv levels works best on gold. Pre determined pivots.
INDIBOT PRO [Indibot Style]ABO SALTAN //@version=6
indicator("INDIBOT PRO ", overlay=true, max_labels_count=500)
// === WAVE TREND CALC ===
src = hlc3
n1 = input.int(10, "WT Channel Length")
n2 = input.int(21, "WT Signal Smoothing")
obLevel = input.float(2.0, "Overbought Threshold")
osLevel = input.float(-2.0, "Oversold Threshold")
esa = ta.ema(src, n1)
d = ta.ema(math.abs(src - esa), n1)
ci = (src - esa) / (0.015 * d)
wt1 = ta.ema(ci, n2)
wt2 = ta.sma(wt1, 4)
// === CROSS SIGNALS ===
buyCond = ta.crossover(wt1, wt2) and wt1 < osLevel
sellCond = ta.crossunder(wt1, wt2) and wt1 > obLevel
// === PRICE CHART ARROWS ===
plotshape(buyCond, title="Buy Arrow", location=location.belowbar, style=shape.labelup,
color=color.new(color.teal, 0), text="BUY", textcolor=color.white, size=size.small)
plotshape(sellCond, title="Sell Arrow", location=location.abovebar, style=shape.labeldown,
color=color.new(color.red, 0), text="SELL", textcolor=color.white, size=size.small)
// === OSCILLATOR PANEL ===
plot(wt1, color=color.green, title="WT Line", linewidth=2)
plot(wt2, color=color.red, title="Signal Line", linewidth=2)
hline(obLevel, "Overbought", color=color.red)
hline(osLevel, "Oversold", color=color.green)
hline(0, "", color=color.gray)
// === CROSSOVER DOTS ===
plotshape(ta.crossover(wt1, wt2), title="WT Cross Up", location=location.belowbar, color=color.teal,
style=shape.circle, size=size.tiny, offset=-1)
plotshape(ta.crossunder(wt1, wt2), title="WT Cross Down", location=location.abovebar, color=color.red,
style=shape.circle, size=size.tiny, offset=-1)
// === BACKGROUND COLOR ===
bgcolor(wt1 > obLevel ? color.new(color.red, 90) : wt1 < osLevel ? color.new(color.green, 90) : na, title="OB/OS Zone Highlight")
Fixed Zone Flow ABO SALTAN (Non-Repaint)//@version=5
indicator("Fixed Zone Flow (Non-Repaint)", overlay=false)
// ===== INPUTS =====
lenFast = input.int(10, "Fast Length")
lenSlow = input.int(21, "Slow Length")
signal = input.int(4, "Signal Smooth")
buyLevel = input.int(-60, "BUY Level (Fixed)")
sellLevel = input.int(60, "SELL Level (Fixed)")
// ===== CORE =====
price = hlc3
basis = ta.ema(price, lenFast)
dev = ta.ema(math.abs(price - basis), lenFast)
ci = (price - basis) / (0.015 * dev)
fzf = ta.ema(ci, lenSlow)
sig = ta.sma(fzf, signal)
// ===== FIXED BUY / SELL =====
fixedBuy = ta.crossover(fzf, buyLevel)
fixedSell = ta.crossunder(fzf, sellLevel)
// ===== PLOTS =====
plot(fzf, title="FZF", color=color.aqua, linewidth=2)
plot(sig, title="Signal", color=color.orange)
hline(buyLevel, "FIXED BUY", color=color.green, linestyle=hline.style_dashed)
hline(sellLevel, "FIXED SELL", color=color.red, linestyle=hline.style_dashed)
hline(0, "Zero", color=color.gray)
// ===== SIGNAL MARKERS =====
plotshape(fixedBuy, title="BUY",
style=shape.labelup,
location=location.bottom,
color=color.lime,
text="BUY",
textcolor=color.black)
plotshape(fixedSell, title="SELL",
style=shape.labeldown,
location=location.top,
color=color.red,
text="SELL",
textcolor=color.white)
Ryan-Trend PulseOverview
Ryan-Trend Pulse is a volatility-adjusted trend-following indicator designed to identify institutional-grade shifts in market momentum. Unlike static moving averages that lag significantly, This indicator utilizes a modified ATR-based trailing logic to create dynamic ranges. This allows the indicator to remain stable during consolidation but react decisively when a genuine trend breakout occurs.
The core philosophy of this tool is to provide traders with clear, visual "Zones of Interest" (Target and Stoploss) that adapt in real-time to current market volatility.
How It Works: The Logic
The indicator is built around a proprietary Adaptive Average function. Here is the technical breakdown:
1. Volatility Anchoring : The script calculates a base ATR (Average True Range) multiplied by a user-defined factor. This creates a "volatility buffer" around the price.
2. Range Displacement : The center line (Trend Average) only moves when the price closes outside of the volatility buffer. This filtering mechanism eliminates market noise and "whipsaws" often found in standard trend-following tools.
3. Dynamic Band Scaling : Once a new range is established, the upper and lower bands are calculated based on 50% of the current volatility. This provides a mathematically consistent frame for potential price action.
Indicator Specifications & Features
- Zero-Lag Range Shifts: The range updates instantly upon a confirmed break, providing the trader with immediate feedback on trend direction.
- Multi-Timeframe Compatible: Users can pull data from higher timeframes (HTF) to filter lower timeframe noise via the built-in Timeframe input.
How to Trade with Ryan-Trend Pulse
The indicator features a Dual-State Dynamic Coloring System:
1. 🔵 The Blue Center channel: This is your Trend Pivot. As long as price remains within the current range, the trend is considered stable.
2. 🟢 Bullish Breakout (Long): When price breaks the upper channel and shifts the range upward:
- The Upper channel turns Green, representing your primary Target Zone.
- The Lower channel turns Red, representing your Logical Stop Loss.
3. 🔴 Bearish Breakout (Short) : When price breaks the lower channel and shifts the range downward:
- The Lower channel turns Green, representing your primary Target Zone.
- The Upper channel turns Red, representing your Logical Stop Loss.
Settings Guidance
- Length (Default 200): Optimized for long-term trend health. Lowering this to 50-100 will make the indicator more aggressive for scalping.
- Factor (Default 5.0): This controls the "tightness" of the range. A higher factor requires a more significant move to trigger a trend change, suitable for volatile assets like Crypto or Indices.
Disclaimer: Past performance does not guarantee future results. This indicator is a tool for technical analysis and should be used in conjunction with a complete trading plan and proper risk management.
MACD Extreme [CoinTadpole]█ MACD Extreme - TradingView Script Description
═══════════════════════════════════════════════════════════════════════════════
MACD Extreme is an advanced MACD-based indicator that detects potential trend reversal points by measuring the divergence gap between MACD line (K) and Signal line (D). Instead of relying on traditional crossover signals, this indicator identifies when the gap expands to extreme levels - a more reliable precursor to actual trend reversals.
█ THE PROBLEM WITH TRADITIONAL MACD
Many traders believe that trend reversals occur the moment:
• MACD line crosses ABOVE Signal line (Golden Cross = Buy)
• MACD line crosses BELOW Signal line (Dead Cross = Sell)
This is a dangerous misconception.
In real trading, crossovers are LAGGING signals. By the time a Golden Cross appears, the upward move has often already happened. Entering at that exact moment frequently results in buying at local tops or selling at local bottoms - leading to significant losses.
As shown above, entering long positions at Golden Cross points often results in immediate drawdowns and extended periods of being underwater.
█ HOW THIS INDICATOR WORKS
This indicator takes a completely different approach. Instead of waiting for crossovers, it monitors the GAP between K line and D line (the histogram).
The core principle:
**Trend reversals tend to occur when the K-D divergence expands significantly beyond normal levels.**
The algorithm measures:
• Current histogram value (K line - D line)
• Historical standard deviation of the histogram over N periods
• Identifies when current divergence exceeds the threshold
When the divergence reaches extreme levels AND shows signs of reversal, the indicator generates a signal - often BEFORE the traditional crossover occurs.
█ THE SIGNALS
🟢 Green Signal (Bullish)
Appears when:
• Histogram is in negative territory (K below D)
• Divergence has reached extreme levels
• Histogram begins turning upward
This signals potential bullish reversal - the selling pressure may be exhausting.
🔴 Red Signal (Bearish)
Appears when:
• Histogram is in positive territory (K above D)
• Divergence has reached extreme levels
• Histogram begins turning downward
This signals potential bearish reversal - the buying pressure may be exhausting.
█ BACKGROUND ZONES
The colored background bars provide additional context:
🟩 Green Background Zone
Indicates oversold divergence territory. When you see green background, the K-D gap has expanded significantly in the bearish direction. This zone often precedes bullish reversals.
🟥 Red Background Zone
Indicates overbought divergence territory. When you see red background, the K-D gap has expanded significantly in the bullish direction. This zone often precedes bearish reversals.
These zones help you visually identify WHEN the market is in extreme conditions - preparing you for potential reversals before they happen.
█ WHY THIS APPROACH IS MORE RELIABLE
Traditional MACD analysis requires you to:
1. Constantly monitor the K and D lines
2. Mentally estimate whether the gap is "large" or "small"
3. Make subjective judgments in real-time
This is practically impossible during live trading.
MACD Extreme solves this by:
• Automatically calculating historical divergence patterns
• Objectively identifying when divergence is truly "extreme"
• Alerting you at precisely the right moments
Just like how UCTRPB Rsi Price Band pre-calculates where RSI oversold/overbought levels will be, this indicator pre-identifies where MACD divergence reaches extreme levels.
█ SETTINGS EXPLAINED
📊 MACD Settings
• Fast EMA (Default: 7): Short-term EMA period
• Slow EMA (Default: 25): Long-term EMA period
• Signal EMA (Default: 9): Signal line smoothing period
🔥 Signal Detection
• Lookback Period (Default: 50): Number of bars to calculate divergence baseline. Higher values = compare against longer-term averages. Recommended: 30-80
• Sensitivity (Default: 2.0): Standard deviation multiplier for signal threshold
- Lower (1.5): More signals, earlier detection, but more false positives
- Default (2.0): Balanced - recommended for most users
- Higher (2.5+): Fewer signals, only extreme cases, fewer false positives
• Use Percentile Detection: Alternative detection method
- OFF (Default): Uses standard deviation-based detection
- ON: Uses percentile-based detection (signals when divergence is in top X%)
• Percentile Threshold (Default: 95%): When percentile detection is enabled, signals trigger when divergence is in the top X% of historical values
█ RECOMMENDED SETTINGS BY STYLE
Conservative Trading:
• Lookback: 50-80
• Sensitivity: 2.0-2.5
• Fewer signals, higher reliability
Aggressive Trading:
• Lookback: 30-50
• Sensitivity: 1.5-2.0
• More signals, requires additional confirmation
█ ALERT SETTINGS
Three alert options are available:
📢 Bullish Reversal
Triggers when green signal appears. Use this if you only trade long positions.
📢 Bearish Reversal
Triggers when red signal appears. Use this if you only trade short positions.
📢 Reversal Signal
Triggers on BOTH green and red signals. Use this if you trade both directions - you only need to set up this one alert to catch all signals.
To set up alerts:
1. Right-click on the indicator
2. Select "Add Alert"
3. Choose your preferred condition
4. Configure notification method (popup, email, webhook, etc.)
█ HOW TO USE THIS INDICATOR
⚠️ IMPORTANT: This is NOT a buy/sell signal generator.
This indicator is a REFERENCE TOOL for identifying potential trend reversal zones using K-D divergence analysis.
For best results, combine with:
• RSI Oversold/Overbought levels (RSI < 30 or RSI > 70)
• Support/Resistance levels
• Volume analysis
• Higher timeframe trend direction
Recommended workflow:
1. Wait for signal to appear
2. Check RSI for confirmation (oversold for bullish, overbought for bearish)
3. Identify nearby support/resistance levels
4. Enter with proper risk management
█ TIMEFRAME RECOMMENDATIONS
• Best: 4H and above
• Good: 1H
• Not recommended: 15m and below
Lower timeframes produce more noise and less reliable signals.
█ IMPORTANT NOTES
• Signals indicate potential reversal zones, not guaranteed reversals
• Always use stop-losses and proper position sizing
• Past performance does not guarantee future results
• This indicator works best in ranging and mean-reverting market conditions
• Trending markets may produce early signals - use trend filters for additional confirmation
═══════════════════════════════════════════════════════════════════════════════
═══════════════════════════════════════════════════════════════════════════════
Tags: MACD, divergence, reversal, trend, momentum, oscillator, crossover, signal, alert
Fractal - VA (Dynamic Wicks)This indicator, which we’ve developed as the Frectal - VA (Multi-Timeframe Visual Analytics), is designed for traders who utilize multi-timeframe analysis but want to keep their main chart clean of overlapping candles.
It functions as a Projected Dashboard, pulling price action from a higher timeframe (HTF) and rendering it as a set of dynamic, solid objects in the right-hand margin of your chart.
Core Philosophy
The "Frectal - VA" is built on the principle of Nested Structure. In professional trading, the "Value Area" or the "Fractal" of a higher timeframe often dictates the trend of the lower timeframe. By projecting these candles into the future (the right side of the chart), you can monitor HTF trend shifts, volatility, and candle closes without the HTF candles obscuring your current "live" price action.
Key Components
Decoupled Visualization: Unlike standard MTF indicators that overlay large boxes behind your current bars, this indicator creates a side-by-side comparison in the chart's whitespace.
Real-Time Data Streaming: It doesn't just show historical candles; the "lead" candle in the dashboard updates with every tick of the current price, showing you exactly how the higher timeframe candle is forming.
Dynamic Color Sync: The body, border, and wick of each projected candle are linked. If a 1-hour candle flips from bullish to bearish on a 5-minute chart, the entire dashboard object changes color instantly.
Customizable Offset: You control the "Drop" (Vertical Offset) and the "Margin" (Horizontal Offset). This allows you to tuck the indicator into a corner of your screen as a heads-up display (HUD).
Strategic Use Cases
Trend Confirmation: If you are trading a 1-minute "scalp" but the 15-minute dashboard shows a solid, large-bodied bearish candle, you are alerted to trade with the HTF momentum.
Volatility Monitoring: By observing the size of the wicks in the dashboard, you can see if the higher timeframe is experiencing "rejection" at certain levels, even if your local timeframe looks like a steady trend.
Visual Backtesting: Because it maintains a queue of the last
X
candles, you can see the immediate history of the HTF structure (e.g., a "Morning Star" pattern or "Engulfing" candles) at a glance.
Technical Specifications
Pine Script Version: v6 (latest standard).
Drawing Engine: Uses box and line arrays for high-performance rendering that doesn't lag the UI.
Memory Management: Automatically deletes old objects to stay within TradingView’s script limits, ensuring stability during long trading sessions.
Weekly Open Lines - H1Prints a line from the Sunday evening open (GMT) across the trading week and calculates how often price returns to trade at the open price that week, and on which day.
The table breaks down the % frequency of the returns over a historic range up to 5 years.
XAGUSD Reversal Short Checklist (1H)XAGUSD Reversal Short Checklist (1H)
XAGUSD Reversal Short Checklist (1H)
Ed's Swing Ready Ripper (STABLE v3) Ed’s Swing Ready Ripper
Ed’s Swing Ready Ripper is a swing-trading indicator built to identify stocks that are consolidating in a strong daily uptrend and preparing for an upside breakout.
It combines higher-timeframe trend confirmation with precise 4H / 2H entry signals, helping traders enter early while managing risk clearly.
🎯 Best For
Swing trades (days to weeks)
Growth stocks & strong sector leaders
Works best on 4H charts (2H for aggressive traders)
⚙️ How It Works
Daily trend filter confirms bullish structure & consolidation
4H / 2H entry logic looks for EMA20 pullbacks with momentum
BUY signals are labeled:
🟢 FULL – higher confidence setup
🟠 PARTIAL – lower confidence setup
TP1 & TP2 are plotted automatically
TP3 uses EMA20 trailing exit to let winners run
🚨 Built-In Alerts
BUY signal
TP1 hit
TP2 hit
TP3 exit (close below EMA20)
⚠️ Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Always manage risk and confirm signals with price action.
⭐ Tip
Use the Daily chart for trend direction, then switch to 4H (or 2H) for entries.
Smart Ranges📌 Indicator Name
Smart Ranges – High, Mid & Low Zone Indicator
🎯 Purpose of the Indicator
The Ranges indicator automatically identifies and visualizes High Range, Mid Range, and Low Range price zones based on recent market structure.
It helps traders:
Identify premium (high) and discount (low) price areas
Understand where price is trading relative to its recent range
Improve decision-making for entries, exits, and risk management
⚙️ How the Indicator Works (Logic)
The indicator looks back over a fixed number of candles (default: 130).
It calculates:
Highest High → High Range
Lowest Low → Low Range
Midpoint → Mid Range
These levels are projected forward into future candles to act as reference zones.
A small ATR-based buffer is used to create slim, clean zone boxes instead of thick bands.
📊 Zones Explained
🟣 High Range (Premium Zone)
Based on the highest price in the lookback period
Represents a premium or upper extreme
Often used for:
Profit-taking
Short setups
Watching for reversals
⚪ Mid Range (Equilibrium Zone)
The average between high and low range
Acts as a balance or decision area
Price often reacts here before choosing direction
🟢 Low Range (Discount Zone)
Based on the lowest price in the lookback period
Represents a discount or lower extreme
Often used for:
Long setups
Accumulation areas
Bounce or reversal zones
📐 Inputs & Settings
Zone Lookback Length
Controls how many past candles are used to calculate ranges
(Default: 130)
Zone Forward Extension
Determines how far the zones project into the future
(Default: 30)
Zone Colors
Customize colors for High, Mid, and Low ranges
EMA 15 (Optional)
A short-term EMA can be displayed for trend context
(Disabled by default)
🧭 How to Use the Indicator
Add the indicator to your chart
Observe where price is trading:
Near Low Range → Discount area
Near Mid Range → Neutral / balance
Near High Range → Premium area
Use the zones as context, not signals:
Combine with price action
Use with trend, structure, or volume tools
Best results come when aligned with:
Higher timeframe bias
Market structure
Session behavior
🧪 Example
If price moves into the High Range zone after a strong rally, it may signal:
Reduced upside potential
Possible consolidation or reversal
If price enters the Low Range zone, it may indicate:
Discount pricing
Potential long opportunities (with confirmation)
⚠️ Important Notes & Limitations
This indicator does not repaint once the zone is drawn
Zones update only on the last bar
Should not be used as a standalone trading system
Always use proper risk management
📄 Disclaimer
This indicator is for educational and informational purposes only.
It does not constitute financial advice. Trading involves risk.
COT Index TT Tools Questo indicatore nasce come ispirazione diretta dallo script TradingView “COT Index” di Dixon_Chai 👉
La logica di base rimane quella del COT Index in stile Larry Williams (calcolo dell’indice su più finestre temporali), ma questa versione TT Tools introduce funzionalità operative aggiuntive pensate per una lettura immediata del posizionamento dei Commercials e per individuare con precisione i cambi di regime delle Net Position.
🔹 Cosa aggiunge questa versione (TT Tools)
✅ Riquadro “Net State” nella tabella di verifica
LONG quando le Net Position dei Commercials sono positive
SHORT quando sono negative
colorazione verde / rossa coerente con lo stato
✅ Segnalazione visiva dello switch
“⚠️ ALERT CHANGE LONG” quando le Net Position passano da negative a positive
“⚠️ ALERT CHANGE SHORT” quando passano da positive a negative
la segnalazione appare solo nella settimana del cambio
✅ Alert TradingView integrati
Possibilità di creare alert automatici per essere notificati esattamente nel momento in cui avviene lo switch LONG/SHORT, senza dover monitorare manualmente il grafico.
🔹 Utilizzo consigliato
Questo indicatore è pensato per essere utilizzato in combinazione con
“Contango/Backwardation Futures Box Desk – TT Tools”.
La lettura congiunta permette di:
contestualizzare il posizionamento dei Commercials
verificare la struttura della curva (contango / backwardation)
individuare fasi di rotazione, accumulo o distribuzione con maggiore probabilità
Note
Dati COT forniti tramite libreria ufficiale TradingView (COT Library)
Mapping manuale dei codici CFTC per gli strumenti supportati
Focus principale sulle Net Position dei Commercials
_____________________________________________________________
Description
This indicator is directly inspired by the TradingView script “COT Index” by Dixon_Chai
👉
It preserves the original Larry Williams–style COT Index logic (index calculation over multiple lookback periods), while this TT Tools version introduces additional operational features designed for a faster and more actionable reading of Commercials’ positioning, with a specific focus on regime changes in Net Positions.
🔹 What this TT Tools version adds
✅ “Net State” box inside the verification table
LONG when Commercials’ Net Positions are positive
SHORT when they are negative
green / red coloring consistent with the current state
✅ Visual regime-change signal
“⚠️ ALERT CHANGE LONG” when Net Positions switch from negative to positive
“⚠️ ALERT CHANGE SHORT” when they switch from positive to negative
the alert appears only on the exact week of the switch
✅ Built-in TradingView alerts
You can link TradingView alerts to be notified precisely when a LONG/SHORT regime change occurs, without manual chart monitoring.
🔹 Recommended usage
This indicator is designed to be used in combination with
“Contango/Backwardation Futures Box Desk – TT Tools”.
Using both tools together allows you to:
contextualize Commercials’ positioning
evaluate the futures curve structure (contango / backwardation)
identify potential rotation, accumulation, or distribution phases with higher confidence
Notes
COT data provided via the official TradingView COT Library
Manual mapping of CFTC codes for supported instruments
Primary focus on Commercials’ Net Positions
AKKTABLEIt contains table of 10 stocks/Indices i.e. NIFTY, BANKNIFTY, SENSEX, TMPV, RELIANCE, ITC, TATASTEEL, HDFC BANK, INFY AND SBIN.
