CPR by myBiniyogCPR by myBiniyog
Purpose:
Clearly plots the Central Pivot Range (CPR), Support, and Resistance levels daily, weekly, and monthly (optional). CPR levels help intraday traders identify potential market direction, trends, and reversal points. CPR lines plotted clearly (blue), Support levels (green), and Resistance levels (red).
Calculation Method:
Pivot (P) = (High + Low + Close) / 3
Bottom Central (BC) = (High + Low) / 2
Top Central (TC) = Pivot + (Pivot - BC)
Support (S1-S3) and Resistance (R1-R3) levels calculated traditionally from pivot formulas.
Uniqueness & Originality:
Fully original script combining multi-timeframe (Daily/Weekly/Monthly) pivots.
Unique, clear visual representation designed for ease of use.
Closed-source to protect custom visual style and original logic.
Recommended Timeframes:
For optimal clarity and performance, use on 5-minute, 10-minute, or 15-minute intraday charts.
Compliance Statement:
Fully compliant with TradingView House Rules. Original work, not derived from publicly available scripts.
Search in scripts for "weekly"
M2 Global Liquidity Index [Extended + Empirical BTC Offset]M2 Global Liquidity Index
This script visualizes global M2 liquidity based on major economic zones (USA, China, Eurozone, Japan, UK), with the option to include extended countries such as Switzerland, Canada, India, Russia, Brazil, South Korea, Mexico, and South Africa.
The indicator includes an empirically derived offset to reflect how Bitcoin historically reacts with a time lag—typically around 12 weeks—after shifts in global liquidity.
Features:
Predefined empirical offset options ranging from 12 to 120 days
Automatic offset adjustment when applied to the weekly chart
Optional inclusion of extended global M2 sources
Important:
This indicator is intended only for use on the weekly chart. It provides meaningful and accurate results exclusively in this time frame, due to the nature of the offset-based correlation logic.
Use cases:
Macro-level analysis of Bitcoin’s price movements
Identifying early signs of potential market tops or bottoms in relation to liquidity flows
Marketoolkit - MTF AutoFibA next-generation automatic Fibonacci retracement tool for true multi-timeframe analysis.
Description:
Multi Timeframe AutoFib empowers you to display Fibonacci retracement levels sourced from any timeframe, regardless of which chart timeframe you are currently viewing. Whether you’re trading intraday on the 1-minute chart or analyzing swing setups on daily or weekly candles, this indicator lets you overlay the fib levels calculated from the timeframe you select in the settings menu.
Key Features:
* Flexible Timeframe Selection: Choose the reference timeframe for Fibonacci calculations (e.g., 1H, 4H, Daily, Weekly, etc.) directly from the settings.
* Consistent Analysis: No matter which timeframe your chart is set to, the fib levels always reflect the price action and range of your chosen reference timeframe.
* Clean Visuals: Each Fibonacci level is plotted as a colored line, with easy-to-see filled zones for quick support/resistance visualization.
* Automatic Range Detection: The fib levels are calculated using the highest and lowest closes over a customizable lookback period.
How to Use:
1. Add the indicator to your chart.
2. In the settings panel, choose your desired “Fibonacci Source Timeframe” and “Lookback Length”.
3. Instantly see the Fibonacci levels from your selected timeframe, overlaid on any chart interval you’re viewing.
4. Use the colored zones to spot high-probability reversal areas, manage your trades and enhance your multi-timeframe confluence.
Who is it for?
This tool is perfect for:
* Multi-timeframe traders and analysts
* Scalpers looking for higher timeframe fib confluence
* Swing traders and investors seeking robust fib levels
* Anyone wanting a fast, flexible way to anchor fibs from other timeframes
Tip:
Try overlaying the daily fib levels on a 5m/15m/1H chart to spot major reaction zones that most traders miss!
⚠️For educational and informational purposes only. Not financial advice.
Advanced Forex Currency Strength Meter
# Advanced Forex Currency Strength Meter
🚀 The Ultimate Currency Strength Analysis Tool for Forex Traders
This sophisticated indicator measures and compares the relative strength of major currencies (EUR, GBP, USD, JPY, CHF, CAD, AUD, NZD) to help you identify the strongest and weakest currencies in real-time, providing clear trading signals based on currency strength differentials.
## 📊 What This Indicator Does
The Advanced Forex Currency Strength Meter analyzes currency relationships across 28+ major forex pairs and 8 currency indices to determine which currencies are gaining or losing strength. Instead of relying on individual pair analysis, this tool gives you a bird's-eye view of the entire forex market, helping you:
Identify the strongest and weakest currencies at any given time
Find high-probability trading opportunities by pairing strong vs weak currencies
Avoid ranging markets by detecting when currencies have similar strength
Get clear LONG/SHORT/NEUTRAL signals for your current trading pair
Optimize your trading strategy based on your preferred timeframe and holding period
## ⚙️ How The Indicator Works
### Dual Calculation Method
The indicator uses a sophisticated dual approach for maximum accuracy:
Pairs-Based Analysis: Calculates currency strength from 28+ major forex pairs (EURUSD, GBPUSD, USDJPY, etc.)
Index-Based Analysis: Incorporates official currency indices (DXY, EXY, BXY, JXY, CXY, AXY, SXY, ZXY)
Weighted Combination: Blends both methods using smart weighting for enhanced accuracy
### Smart Auto-Optimization System
The indicator automatically adjusts its parameters based on your chart timeframe and intended holding period:
The system recognizes that scalping requires different sensitivity than swing trading, automatically optimizing lookback periods, analysis timeframes, signal thresholds, and index weights.
### Strength Calculation Process
Fetches price data from multiple timeframes using optimized tuple requests
Calculates percentage change over the specified lookback period
Optionally normalizes by ATR (Average True Range) to account for volatility differences
Combines pair-based and index-based calculations using dynamic weighting
Generates relative strength by comparing base currency vs quote currency
Produces clear trading signals when strength differential exceeds threshold
## 🎯 How To Use The Indicator
### Quick Start
Add the indicator to any forex pair chart
Enable 🧠 Smart Auto-Optimization (recommended for beginners)
Watch for LONG 🚀 signals when the relative strength line is green and above threshold
Watch for SHORT 🐻 signals when the relative strength line is red and below threshold
Avoid trading during NEUTRAL ⚪ periods when currencies have similar strength
Note: This is highly recommended to couple this indicator with fundamental analysis and use it as an extra signal.
### 📋 Parameters Reference
#### 🤖 Smart Settings
🧠 Smart Auto-Optimization: (Default: Enabled) Automatically optimizes all parameters based on chart timeframe and trading style
#### ⚙️ Manual Override
These settings are only active when Smart Auto-Optimization is disabled:
Manual Lookback Period: (Default: 14) Number of periods to analyze for strength calculation
Manual ATR Period: (Default: 14) Period for ATR normalization calculation
Manual Analysis Timeframe: (Default: 240) Higher timeframe for strength analysis
Manual Index Weight: (Default: 0.5) Weight given to currency indices vs pairs (0.0 = pairs only, 1.0 = indices only)
Manual Signal Threshold: (Default: 0.5) Minimum strength differential required for trading signals
#### 📊 Display
Show Signal Markers: (Default: Enabled) Display triangle markers when signals change
Show Info Label: (Default: Enabled) Show comprehensive information label with current analysis
#### 🔍 Analysis
Use ATR Normalization: (Default: Enabled) Normalize strength calculations by volatility for fairer comparison
#### 💰 Currency Indices
💰 Use Currency Indices: (Default: Enabled) Include all 8 currency indices in strength calculation for enhanced accuracy
#### 🎨 Colors
Strong Currency Color: (Default: Green) Color for positive/strong signals
Weak Currency Color: (Default: Red) Color for negative/weak signals
Neutral Color: (Default: Gray) Color for neutral conditions
Strong/Weak Backgrounds: Background colors for clear signal visualization
### 🧠 Smart Optimization Profiles
The indicator automatically selects optimal parameters based on your chart timeframe:
#### ⚡ Scalping Profile (1M-5M Charts)
For positions held for a few minutes:
Lookback: 5 periods (fast/sensitive)
Analysis Timeframe: 15 minutes
Index Weight: 20% (favor pairs for speed)
Signal Threshold: 0.3% (sensitive triggers)
#### 📈 Intraday Profile (10M-1H Charts)
For positions held for a few hours:
Lookback: 12 periods (balanced sensitivity)
Analysis Timeframe: 4 hours
Index Weight: 40% (balanced approach)
Signal Threshold: 0.4% (moderate sensitivity)
#### 📊 Swing Profile (4H-Daily Charts)
For positions held for a few days:
Lookback: 21 periods (stable analysis)
Analysis Timeframe: Daily
Index Weight: 60% (favor indices for stability)
Signal Threshold: 0.5% (conservative triggers)
#### 📆 Position Profile (Weekly+ Charts)
For positions held for a few weeks:
Lookback: 30 periods (long-term view)
Analysis Timeframe: Weekly
Index Weight: 70% (heavily favor indices)
Signal Threshold: 0.6% (very conservative)
### Entry Timing
Wait for clear LONG 🚀 or SHORT 🐻 signals
Avoid trading during NEUTRAL ⚪ periods
Look for signal confirmations on multiple timeframes
### Risk Management
Stronger signals (higher relative strength values) suggest higher probability trades
Use appropriate position sizing based on signal strength
Consider the trading style profile when setting stop losses and take profits
💡 Pro Tip: The indicator works best when combined with your existing technical analysis. Use currency strength to identify which pairs to trade, then use your favorite technical indicators to determine when to enter and exit.
## 🔧 Key Features
28+ Forex Pairs Analysis: Comprehensive coverage of major currency relationships
8 Currency Indices Integration: DXY, EXY, BXY, JXY, CXY, AXY, SXY, ZXY for enhanced accuracy
Smart Auto-Optimization: Automatically adapts to your trading style and timeframe
ATR Normalization: Fair comparison across different currency pairs and volatility levels
Real-Time Signals: Clear LONG/SHORT/NEUTRAL signals with visual markers
Performance Optimized: Efficient tuple-based data requests minimize external calls
User-Friendly Interface: Simplified settings with comprehensive tooltips
Multi-Timeframe Support: Works on any timeframe from 1-minute to monthly charts
Transform your forex trading with the power of currency strength analysis! 🚀
52 Week High History Probability Data'52 week high day yymmdd'= show recent 52 week high date when 'made n bar ago '=0
'made n bar ago ' >= if 52 high made in current year the value is 0
' recent total 52 high ' =recent continuous 52 week high year
' total high' total 52 week high made in total year considered
' total year ' total year used in finding probability
' 52 week high probability ' = total high/' total year '
' 52 week high probability ' >
while scanning through pine screener use weekly or monthly time frame as pine screener scan only recent 500 candles
in weekly time frame use 52(default)
in monthly time frame use 12 then more number of year will be used to check probability
sort the probability column in descending order after execution of pine screener
stock having highest probability of making 52 week will come at top
52 Week High History Probability Data'52 week high day yymmdd'= show recent 52 week high date when 'made n bar ago '=0
'made n bar ago ' >= if 52 high made in current year the value is 0
' recent total 52 high '
' total high' total 52 week high made in total year considered
' total year ' total year used in finding probability
' 52 week high probability ' = total high/' total year '
while scanning through pine screener use weekly or monthly time frame as pine screener scan only recent 500 candles
in weekly time frame use 52(default)
in monthly time frame use 12 then more number of year will be used to check probability
sort the probability column in descending order after execution of pine screener
stock having highest probability of making 52 week will come at top
Advanced Market Dashboard - Compact Atr,bb,Dcng%,RSI,ADX,vwapDescription of the Advanced Market Dashboard Indicator:
This Pine Script indicator is a comprehensive technical dashboard designed for use with TradingView. The indicator displays key market metrics, price changes, and popular technical indicators directly on the chart in real-time.
Features of the Indicator
1. Price and Price Change
Current Price: Displays the current closing price of the symbol (e.g., $100.50).
Change in Price:
Value Change: Displays how much the price has changed compared to the previous period (e.g., "+$2.50").
Percentage Change: Shows the percentage difference between the previous period's close and the current price (e.g., "+2.5%").
Period Selection: Allows you to choose the time period for this change (e.g., 1 minute, daily, weekly, or monthly).
Example:
Current Price = $150.50
Change = +$1.25 (+0.83%)
2. VWAP (Volume Weighted Average Price)
VWAP represents the average price of a security weighted by volume. It’s widely used by intraday traders to gauge where the market price is relative to typical buying/selling levels.
Plot of VWAP is included on the chart for easy visualization.
3. ATR (Average True Range)
Displays ATR (21 period), an indicator commonly used for understanding price volatility.
Higher ATR values indicate higher volatility, while lower ATR values suggest lower volatility.
4. RSI (Relative Strength Index)
Displays RSI (21 period):
RSI is a popular oscillator that measures price momentum strength.
Ranges from 0 to 100:
Values above 70 indicate overbought conditions.
Values below 30 indicate oversold conditions.
Includes visual overbought/oversold lines (70 and 30) plotted directly on the chart.
5. ADX (Average Directional Index)
Displays ADX (14 period), which measures the strength of a trend:
ADX above 25: Indicates a strong trend.
ADX below 25: Indicates weak or no trend.
Includes a reference line (25) plotted on the chart to help interpret trend direction.
6. Bollinger Bands
Displays:
Upper Band: Basis + (StdDev × multiplier)
Lower Band: Basis - (StdDev × multiplier)
Middle Line: Simple Moving Average (SMA)
Bollinger Bands help identify volatility and potential buy/sell opportunities:
Price near the upper band: Indicates overbought conditions.
Price near the lower band: Indicates oversold conditions.
Plots all three bands directly on the chart for visual guidance.
Compact Table
The indicator organizes all data into a clean, compact table in the top-right corner of the chart. Each metric is displayed alongside its value:
Symbol Name and Price
Example:
Price Change
Example:
VWAP
Example:
ATR
Example:
RSI
Example:
ADX
Example:
Bollinger Upper Band
Example:
Bollinger Lower Band
Example:
Visual Plots on Chart
In addition to the table display, the following indicators are visually plotted on the chart for easy reference:
VWAP
Bollinger Bands (Upper, Lower, and Middle)
RSI Overbought/oversold levels
ADX Trend strength reference line (value = 25)
Customizable Settings
ATR Length: Default = 21.
RSI Length: Default = 21.
ADX Length: Default = 14.
Bollinger Band Parameters:
Length: Default = 20.
Standard Deviation: Default = 2.0.
Price Change Periods: Choose between:
1-minute
Daily
Weekly
Monthly.
How to Use
Add the script to your TradingView chart.
In the indicator settings, configure lengths and periods according to your preference.
Use the compact table for real-time metrics and refer to the chart plots for visual insights.
Who Should Use This Indicator?
This indicator is ideal for:
Day Traders: Use VWAP, ATR, RSI, and Bollinger Bands for intraday price action.
Trend Followers: Use ADX to confirm trending markets.
Technical Analysts: Quickly access multiple technical metrics without adding multiple indicators.
Swing Traders: Use Bollinger Bands and RSI for spotting overbought/oversold conditions.
Why This Indicator Stands Out?
Multiple Indicators in One: Eliminates the need to add separate indicators for VWAP, ATR, RSI, ADX, Bollinger Bands, and price changes.
Compact Design: Data displayed neatly in a table to reduce chart clutter.
Customizability: Users can fine-tune settings for their specific trading style.
Real-time Updates: Values are recalculated dynamically on each new bar, ensuring accuracy.
Limitations
This indicator is solely designed for informational purposes and does not provide buy/sell signals automatically.
The accuracy of Bollinger Bands, RSI, VWAP, etc., depends on the selected input parameters.
The price change feature may not work for extended periods in tick charts or non-standard timeframes.
Conclusion
This Advanced Market Dashboard is a powerful all-in-one tool for traders and analysts who require real-time market metrics. It combines essential indicators while maintaining a user-friendly interface for both novice and professional traders.
Rishabh Intraday Options Indicator
📌 Overview
This invite-only indicator is tailored for intraday options trading in major Indian indices — NIFTY, BANKNIFTY, CNXFINANCE, and NIFTY_MID_SELECT .
It identifies high-probability trading opportunities based on price deviations from the daily Open, High, and Low levels .
The strategy is strictly designed for same-day, BUY-only option entries , offering structured targets , risk-managed stop-loss , and visual clarity for actionable decision-making.
Option expiry levels are manually updated before each expiry (weekly for NIFTY, monthly for others). Built-in safety filters automatically block trades during extreme volatility or when the spot price input is significantly off-range for the Specific Day .
⚙️ Key Features
📈 Highlights BUY-side opportunities only
🎯 Displays up to five dynamic target levels
🔒 Calculates stop-loss based on recent swing points
📊 Tracks price deviation from key levels to generate trade signals
🔍 Analyzes Spot and Option charts to provide signals on the Options symbol
🚨 Triggers alerts and shows labels when conditions are met
✏️ Customizable label sizes for enhanced readability
⏱️ Designed specifically for the 1-minute timeframe for maximum accuracy
📈 How to Use
Open a 1-minute chart of any supported symbol:
NIFTY
BANKNIFTY
CNXFINANCE
NIFTY_MID_SELECT
Manually input the day’s open price in the script settings.
(An error message will show the correct value if input is incorrect — refer to Visual Guide #4)
Monitor price deviation around the day’s High and Low .
Trade signals are more reliable during pullbacks .
📌 Call entries are displayed above the bar (near the day’s High)
📌 Put entries are shown below the bar (near the day’s Low)
💡 Recommended:
Book 50% profits at Target 1
Manage remaining quantity with extended targets
📉 Risk Management System
Stop-Loss : Recent minor swing low for Calls and Puts
Target Levels (based on option premium movement):
🎯 Target 1: 1× stop-loss value
🎯 Target 2: 2× stop-loss value
🎯 Target 3: 3× stop-loss value
🎯 Target 4: 4× stop-loss value
🎯 Target 5: 5× stop-loss value
🖼️ Visual Guide
#1.Nifty_Day_High_Low – Highlights intraday high/low levels
#2.Invalid Timeframe Error – Shown if not on a 1-minute chart
➡️ Fix: Switch to 1-minute timeframe
#3.Invalid Symbol Error – Appears if the symbol is not one of the four supported indices
➡️ Fix: Use NIFTY, BANKNIFTY, CNXFINANCE, or NIFTY_MID_SELECT
#4.Invalid Open Price – Shown when open input doesn't match actual open
➡️ Fix: Enter the open price shown in the error label into input settings
#5.Expired Option Error – Appears when the script detects that the configured expiry date has passed
➡️ Fix: Contact the script authors to get the latest version with updated expiry settings
#6.Nifty_Put_Buy Entry – Displays:
Option Type
= PE
Strike Price
= 56300
Entry Price = 706.35
Stop-Loss = 672.00
All Target Levels
Expiry = 28-08-2025
Timestamp = 10:45:00 am
#7.Nifty_Call_Buy Entry – Same details as above for Call setups
Option Type
= CE
Strike Price
= 57000
Entry Price = 1412.05
Stop-Loss = 1394.70
All Target Levels
Expiry = 28-08-2025
Timestamp = 9:41:00 am
⚠️ Important Notes
⏱️ Works only on 1-minute timeframe
✅ Compatible only with NIFTY, BANKNIFTY, CNXFINANCE, and NIFTY_MID_SELECT
✍️ Manual input of the day’s open is mandatory
🚫 No repainting – once confirmed, levels stay fixed
🔒 Invite-only access maintains tool integrity and quality usage
📅 Expiry Strike Management: Expiry dates are updated manually by the author (weekly for NIFTY, monthly for others). The latest update timestamp is shown at the top of the Input-Tab of Indicator Panel.
✋ If market conditions are extremely volatile, the script may display:
“Price is too volatile today. Avoid trading under such conditions. Please check back tomorrow.”
📊 If the manually entered spot price is too far from the current range, the script may display:
“Spot price is significantly deviated from expected levels. Trading is not advised at the moment. See you tomorrow.”
🔶 CONCLUSION & ACCESS
This indicator is designed to provide a structured and disciplined approach to intraday options trading, with clear targets and defined risk management.
👉 For details on how to request access, please see the Author’s Instructions section below.
📢 Disclaimer
This script is intended solely for educational and informational purposes . It does not provide financial or investment advice, nor should it be interpreted as a recommendation to buy, sell, or trade any securities or derivatives.
We are not SEBI-registered advisors , and the strategies shown are not personalized guidance . Past performance or backtested results are not indicative of future outcomes and should not be relied upon for live trading without thorough evaluation.
Trading in financial markets — especially options — involves significant risk . Both profits and losses are inherent to the trading process.
📎 We recommend practicing with paper trading for at least one month to understand the strategy’s behavior in live markets.
MTF Vegas Tunnels & Pivot PointsThis indicator is a professional-grade multi-timeframe confluence tool combining two highly complementary trading frameworks:
Vegas Tunnels (EMA-based trend zones)
Pivot Points (market structure levels across multiple timeframes)
Its purpose is to help traders:
Read market direction with clarity
Spot key reaction zones before they happen
Combine dynamic trend with static structure
All in one compact and fully customizable tool.
🔍 What This Indicator Shows
🌀 MTF Vegas Tunnels – Trend Momentum Zones
Vegas Tunnels are dynamic trend zones built from a trio of long-term exponential moving averages: EMA 144, 169, and 233. These specific EMAs are widely used in trend-following strategies to filter noise and focus on the core direction of the market.
They are used to identify:
The dominant market trend
Pullback or breakout zones within that trend
Dynamic support/resistance areas where price may bounce, consolidate, or reverse
This script allows you to activate up to 6 Vegas tunnels, each linked to a different timeframe: 5 min, 15 min, 1H, 4H, 1D, 3D (fully customizable)
Each tunnel displays three curves :
Low = potential dynamic support (EMA 233)
Middle = trend core zone (EMA 169)
High = potential dynamic resistance (EMA 144)
By plotting these moving averages together, the indicator forms a tunnel that visually guides you through trending environments.
Each timeframe is color-coded for clarity, helping you quickly assess the trend structure across multiple layers of the market.
🧱 Pivot Points – Market Structure Mapping
Pivot Points are price levels used by institutional traders to track where price is likely to react. This tool includes pivot levels from four timeframes :
Daily
Weekly
Monthly
Yearly
For each timeframe, you can select which levels to display :
Pivot (P)
Support 1 (S1) / Resistance 1 (R1)
Up to S5/R5 if desired
These levels are plotted as horizontal lines with labels, making it easy to :
See confluence zones between different timeframes
Anticipate reaction areas with higher accuracy
Align trend with market structure
⚙️ Customization Features
Enable/disable tunnels individually by timeframe
Choose pivot timeframes and levels to show
Adjust visual style: label names, line thickness, max levels per timeframe
Customize colors for every curve and pivot group
The indicator is designed to be clean, modular, and non-intrusive, adaptable to any trading style.
🎯 Why Use This Indicator ?
This tool is ideal for traders who want to :
Trade with the trend, not against it
Identify high-probability zones for entry/exit
See how multiple timeframes align in one chart
Make better decisions by combining momentum and structure
Whether you're a scalper using intraday pivots and 5min tunnels, or a swing trader watching weekly zones and 4H trends — this script gives you a full tactical view.
HBD.fibonacci alarm last barThis indicator doesn't require you to worry about Fibonacci retracement. It automatically plots the chart starting from the price's starting date. All you need to do is check the timeframe. If you're looking at the daily timeframe, if there aren't any lines, use the weekly or monthly one. Five oscillators are used. A signal is generated when there are at least four matching oscillators. The oscillators used are RSI, MACD, Stochastic, CCI, and MFI. Signals on the weekly, 15-day, and monthly timeframes have a very low margin of error.
MP Master VWAP [BackQuant]MP Master VWAP
Overview
MP Master VWAP is an, volume-weighted average price suite. It re-anchors automatically to any time partition you select—Day, Week, Month, Quarter or Year—and builds an adaptive standard-deviation envelope, optional pivot clusters and context-aware candle colouring so you can read balance, imbalance and auction edges in a single glance. We use private methods on calculating key levels, making them adaptive and more responsive. This is not just a plain VWAP.
Key Components
• Anchored VWAP core – The engine resets VWAP the instant a new session for the chosen anchor begins. Separator lines and a live high–low box make those rotations obvious.
• Dynamic sigma bands – Three upper and three lower bands, scaled by real-time standard deviation. 1-σ filters noise, 2-σ marks momentum, 3-σ flags exhaustion.
• Previous-period memory – The prior session’s VWAP and bands stay on-screen in a muted style so you can trade retests of last month’s value without clutter.
• High-precision price labels – VWAP and every active band print their prices on the hard right edge; labels vanish if you want a cleaner chart.
• Pivot package – Choose Traditional, Fibonacci or Camarilla calculations on a Daily, Weekly or Monthly look-back. Levels plot as subtle circles that complement, not compete with, the VWAP map.
• Context candles – Bars tint relative to their location: vivid red above U2, soft red between U1-U2, neutral grey inside value, soft green between L2-L1, vivid green below L2.
Customisation Highlights
Period section
• Anchor reset drop-down
• Toggles for separator lines and period high/low
Band section
• Independent visibility for L1/U1, L2/U2, L3/U3
• Individual multipliers to fit any volatility profile
• Optional real-time price labels
Pivot section
• Three formula choices
• Independent timeframe—mix a Monthly VWAP with Weekly Camarilla for confluence
Visual section
• Separate switches for current vs previous envelopes
• Candle-colour toggle for traders who prefer raw price bars
Colour section
• Full palette selectors to match dark or light themes instantly
Some Potential Ways it can be used:
Mean-reversion fade – Price spikes into U2 or U3 and stalls (especially at a pivot). Fade back toward VWAP; scale out at U1 and VWAP.
Trend continuation – Close above U1 on rising volume; trail a stop behind U1. Mirror setup for shorts under L1.
Breakout validation – Session gaps below previous VWAP but quickly reclaims it. Use the cross-above alert to automate entry and target U1 / U2.
Overnight inventory flush – Globex extremes that tag L2 / U2 often reverse at the cash open; scalp rotations back to VWAP.
Risk framing – Let the gap between VWAP and L2 / U2 dictate position size, keeping reward-to-risk consistent across assets.
Alerts Included
• Cross above / below current VWAP
• Cross first sigma bands (U1 / L1)
• Break above second sigma bands (U2) or below L2
• Touch of third sigma bands (U3 / L3)
• Cross of previous-period VWAP
• New period high or low
Best Practices
• Tighten sigma multipliers on thin-liquidity symbols; widen them on index futures or high-cap crypto.
• Pair the envelope with order-flow or footprint tools to confirm participation at band edges.
• On intraday charts, anchor a higher-timeframe VWAP (e.g., Monthly on a 15-minute) to reveal institutional accumulation.
• Treat the previous period’s VWAP as yesterday’s fair value—gaps that never revisit it often morph into trend days.
Final Notes
MP Master VWAP condenses auction-market theory into one readable overlay: automatic period resets, adaptive deviation bands, historical memory, multi-style pivots and self-explanatory colour coding. You can deploy it on equities, futures, crypto or FX—wherever volume meets time, VWAP remains the benchmark of true price discovery.
Innotrade LSOB Fractal Zones for Sniper EntryWelcome to Innotrade LIQUIDITY SWEEP ORDERBLOCK (LSOB) in Fractal Zones for Sniper Entry, an all-in-one institutional trading toolkit designed to identify high-probability multi-timeframe reversal zones with precision. This indicator is not just a collection of tools; it's a synergistic system where each component works together to build a complete picture of the market, from macro structure down to the entry candle.
This all-in-one indicator suite is a comprehensive toolkit designed for discretionary traders who leverage multiple confluence factors in their analysis. It integrates nine distinct, powerful, and complementary trading systems into a single, cohesive interface. The primary purpose of this script is not just to build an indicator, but to create a synergistic framework where signals from one system can be validated by others, providing a higher-probability trading environment.
The core philosophy is built around identifying Liquidity Sweep Order Blocks (LSOB) that form after sweeping significant Fractal price points. This combination pinpoints where institutional players have likely shown their hand, leaving behind clues for the retail trader to follow. The additional modules for trend, volume, structure, and multi-timeframe momentum provide the essential context needed to filter trades and boost confidence.
How Each System Works and Complements the Others
This suite is built on the principle of confluence. A signal from one system gains significance when confirmed by one or more of the other systems. Below is a breakdown of each component and its role within the suite:
1. Innotrade LSOB Fractal Zones
What it does: This core component automatically identifies and plots high-probability order blocks. Unlike standard order block indicators, the LSOB is specifically formed after a liquidity sweep of a recent, significant Fractal pivot high or low. These "sniper entry" zones represent areas where institutional orders are likely resting after engineering liquidity.
Key Enhancements & New Features:
Extensive Multi-Timeframe (MTF) Analysis: Plot LSOB zones from up to 5 Higher Timeframes (HTF) and 5 Lower Timeframes (LTF) directly on your current chart. This provides a complete, top-down view of supply and demand, showing where major and minor reversal zones are stacking up.
ATR Impulse Invalidation: An intelligent filter that automatically removes an LSOB zone if a strong counter-move (measured by the Average True Range) closes decisively against it. This keeps your chart clean by removing invalidated zones.
Advanced Alert System: Go beyond simple entry alerts with a sophisticated alert suite:
Zone Entry Alert: Standard alert when price first touches an LSOB zone.
Confirmation (Rejection) Alert: Triggers when price enters a zone and then closes back outside of it, providing powerful confirmation of a rejection and potential reversal.
Break-and-Retest (S/R Flip) Alert: A powerful feature for trend-continuation traders. When an LSOB zone is broken, the indicator remembers it. If price later returns to retest this broken zone from the opposite side (e.g., retesting a broken resistance as new support), an alert is triggered.
How to use it: The LSOB zones are your primary areas of interest for entries. A bullish LSOB forming on a key Octo MA level, confirmed by the MTF Dashboard, is a high-probability long setup.
2. Innotrade Octo MA (8 Moving Averages)
What it does: The Octo MA is the backbone of this suite, providing a clear, multi-layered view of the market trend. It plots eight fully customizable moving averages (SMA, EMA, SMMA) and their corresponding standard deviation clouds.
New Features:
Flow/Slope Coloring: An optional mode colors the MAs and clouds based on their angle (up or down), offering an immediate visual cue of momentum strength.
MA Value Labels: Display clean labels for each MA value on the last bar, with a connector line to keep the chart organized.
Synergy: The Octo MA provides the essential trend context. An LSOB signal is stronger if it forms at a key MA level. A Momentum Crossover signal is more reliable when the longer-term MAs from the Octo suite are aligned.
3. Momentum Crossover & RSI System
What it does: This system provides clear entry signals based on MA crossovers, filtered by the RSI to avoid chasing exhausted moves.
How it works: Select any two of the eight Octo MAs as your fast and slow lines. A long signal is generated on a pullback to the fast MA while it's above the slow MA, and when the RSI is not overbought. This encourages buying dips in an uptrend.
Synergy: This system gives you specific, actionable entry triggers within the broader context provided by the LSOB zones and the Octo MA trend. An entry signal here that occurs inside an LSOB zone is a very high-confidence setup.
4. PVSRA Volume Coloring
What it does: PVSRA (Price, Volume, Spread, Range Analysis) colors candles based on volume analysis to reveal the strength or weakness behind a move. It identifies high-volume (Vectors) and ultra-high-volume exhaustion candles (Climax Vectors).
Synergy: A climactic volume signal (Blue/Violet) appearing at an LSOB zone can signal an impending reversal, providing powerful confirmation for entry timing.
5. Fibonacci Time Cycles
What it does: This tool projects potential future turning points based on Fibonacci time sequences (21, 34, 55, etc.), starting from a significant user-defined pivot.
Synergy: When a price-based signal (like a touch of an LSOB zone) coincides with a Fibonacci time cycle line, it suggests that both price and time are aligned for a potential market turn.
6. Psy-Levels & Daily Open
What it does: This component plots key psychological price levels for the week (Psy-High and Psy-Low) and the daily opening price, which act as crucial intraday pivots.
Synergy: These levels act as natural magnets or areas of S/R. An LSOB block that forms right at a weekly Psy-Low provides a powerful confluence for a potential reversal.
7. Classic Fractals
What it does: Identifies simple 3-bar or 5-bar fractal patterns, which are basic short-term swing highs and lows.
Synergy: These fractals provide a quick visual confirmation of the swing points that the LSOB system uses for its liquidity sweep detection, helping to validate the identified zones.
8. Zig-Zag
What it does: The Zig-Zag overlay filters out market noise to visualize the most significant price swings and overall market structure.
Synergy: The Zig-Zag provides a "big picture" view of market structure, helping you confirm that your trade setup (e.g., from an LSOB zone) is aligned with the major swings of the market.
9. ATR & RSI Multi-Timeframe Dashboard (NEW)
What it does: This is a powerful, at-a-glance dashboard that provides a comprehensive overview of market conditions across six user-defined timeframes. It tracks two key metrics:
Volatility (ATR vs. Range): It displays the current ATR, the current bar's range, and the range as a percentage of the ATR. Crucially, it highlights when the current range exceeds the ATR, alerting you to unusual, expansionary volatility.
Momentum (RSI Status): It analyzes the RSI on each timeframe and provides a simple, color-coded status: Bull Trend, Bear Trend, Bullish Cross, or Bearish Cross. This goes beyond a simple RSI value, giving you immediate, actionable context on momentum.
How it works: The dashboard synthesizes complex data into an easy-to-read table. It also comes with its own dedicated alerts for both volatility expansion (Range > ATR) and changes in RSI status, keeping you informed of shifts in market dynamics across all key timeframes.
Synergy: The dashboard is the ultimate filter. Before taking an LSOB trade on the 15-minute chart, a quick glance can tell you if the 1H and 4H timeframes are in a strong "Bear Trend," allowing you to avoid a counter-trend trade with a low probability of success.
How to Use This Suite for a Trading Setup
Here is a sample workflow for identifying a high-probability long trade:
Context (Dashboard & MAs): Check the MTF Dashboard. Are the higher timeframes showing a "Bull Trend" or "Bullish Cross"? Check the Octo MA. Are the longer-term MAs (e.g., 50, 100, 200) trending upwards?
Area of Interest (LSOB & Levels): Look for a bullish LSOB zone to form, ideally from your current timeframe or a higher timeframe. Is it forming at a key support level like an Octo MA, a weekly Psy-Level, or a broken-and-retested resistance?
Confirmation (Volume): As price enters the LSOB zone, look for PVSRA signals. Is there a bullish vector (Green) or a sign of selling exhaustion (Blue climax candle at the low)?
Timing (Fib Cycles): Is this potential reversal aligning with a Fibonacci Time Cycle line? This adds another layer of confluence.
Entry Trigger (Momentum System): Wait for a Momentum Crossover system signal—a bullish cross or a pullback entry signal—to trigger your trade. The Zig-Zag should confirm you are buying at a higher low in the larger structure.
Stop Loss: Your stop loss can be placed just below the low of the LSOB zone.
By requiring multiple systems to align, you can filter out low-quality setups and focus on trades with a higher probability of success.
Vendor Requirements / How to Get Access (For Invite-Only Scripts)
To gain access to the Innotrade LSOB Zones indicator, please send me a private message on TradingView or follow the instructions in my signature.
Disclaimer
This indicator is a tool to aid in analysis and decision-making, not financial advice or a signal-calling system. Trading involves significant risk, and past performance is not indicative of future results. Always use proper risk management and never risk more than you are willing to lose.
Thank you for your interest, and I look forward to your feedback and comments
Auto NWOG Levels x5Indicator Name: Auto NWOG Levels with Labels
Description:
This indicator automatically plots the NWOG (Naked Weekly Open Gap) price levels on your chart. It includes:
NWOG High & Low: Solid maroon lines representing the high and low boundaries of the NWOG zone.
Intermediate Levels: Dotted maroon lines at 25%, 50%, and 75% levels within the NWOG range, providing visual guidance for possible support/resistance zones.
Labels: Each level is labeled on the right side of the chart, including a customizable date label for context.
Extendable Lines: All lines extend horizontally for a customizable number of bars (default: 500 bars) for better visibility over time.
Inputs:
NWOG High: Price level of the NWOG high.
NWOG Low: Price level of the NWOG low.
Date Label: Text to be displayed on the labels (e.g., the week of the NWOG).
This tool is useful for traders who monitor weekly price gaps and want clear, persistent levels drawn automatically on their charts.
COT-Wallstreetstory OANDA Edition🔥 COT Wallstreetstory OANDA Edition - Professional COT Analysis Tool
This indicator provides comprehensive Commitment of Traders (COT) analysis across multiple asset classes with advanced signal generation for both long-term and intraday trading strategies.
🌟 KEY FEATURES:
✅ Multi-Asset Support:
- Forex: EUR, GBP, JPY, CHF, AUD, CAD, NZD, MXN
- Commodities: Gold, Silver, Crude Oil, Natural Gas, Copper, Grains
- Indices: S&P 500, Nasdaq, Dow Jones, Russell 2000, VIX
- Custom: Enter any CFTC code manually
✅ Smart Currency Inversion:
- Automatic data inversion for JPY, CHF, CAD, MXN pairs
- Shows "ORIGINAL" vs "INVERTED" display mode
- No more confusion with inverse correlations
✅ Dual Signal System:
- Long-term Signals: For W1/D1 swing trading
- Intraday Bias: For H4 setup → M15 entry strategies
- Visual backgrounds indicate signal strength
✅ Extreme Zones:
- Horizontal extreme zones with market-specific recommendations
- Customizable thresholds for each asset class
- Visual alerts when COT data reaches extreme levels
✅ Professional Visualization:
- Clean, emoji-free interface for serious traders
- Sensitivity arrows: ↑↑↑ Conservative, ↑↑ Normal, ↓ Aggressive
- Color-coded display modes and signal status
🎯 TRADING APPLICATIONS:
📈 Long-term Strategy:
Monitor when Commercials reach extreme positions and Non-Commercials follow. Perfect for identifying major trend reversals on weekly/daily charts.
⚡ Intraday Strategy:
Use Non-Commercial and Retail positioning relative to recent weeks to determine directional bias for H4 liquidity sweeps and M15 entries.
🔧 CUSTOMIZATION:
- Adjustable extreme thresholds for each market
- Three sensitivity levels for signal generation
- Customizable colors and line styles
- Optional info table with current market status
📊 TECHNICAL DETAILS:
- Uses TradingView's official COT Library
- Weekly COT data from CFTC reports
- Supports all major OANDA trading pairs
- Compatible with any timeframe (recommended: M15-D1)
⚠️ IMPORTANT NOTE:
This indicator displays COT data from CME futures markets. While trading OANDA spot markets, you're analyzing the underlying futures sentiment which drives institutional positioning.
Perfect for professional traders who understan
Institutional Footprint Marker (MTF) 3.0Institutional Footprint Marker (MTF) 3.0
Indicator Description & Overview
1. Understanding Institutional Buying (IB) and Institutional Selling (IS)
• Concepts:
o Institutional Buying (IB):
Large-scale buying by institutions (e.g., banks, hedge funds, proprietary firms).
Accumulates positions at discounted prices during consolidation or base zones.
Precedes a bullish impulsive move to avoid alerting retail traders.
o Institutional Selling (IS):
Institutions offload holdings at premium prices after price stability (e.g., range or base).
Followed by a bearish impulsive move as they distribute to retail buyers.
• Purpose:
o Identify smart money footprints to align trades with institutional intent.
o Detect zones where institutions accumulate (IB) or distribute (IS) for high-probability setups.
________________________________________
2. SMC + IB/IS: Use & Benefits
• Overview:
o Combines Smart Money Concepts (SMC) with IB/IS zones to track institutional activity.
o Uses SMC signals like Break of Structure (BOS), Change of Character (CHoCH), and liquidity sweeps.
• Benefits:
o Align with Smart Money: Detects institutional accumulation (IB) or distribution (IS) via structure breaks and liquidity traps.
o Refined Entries/Exits: Confirms zone validity using BOS/CHoCH for precise trade timing.
o Filters Fadeouts: Liquidity sweeps validate genuine moves, reducing false signals.
o Higher Accuracy: Combining structure shifts with zone re-entries improves trade precision.
________________________________________
3. Institutional Buying & Selling with SMC: Core Features
• Indicator Overview:
o An advanced price-action-based indicator that identifies IB/IS zones with precision.
o Integrates SMC signals, price structure shifts, and premium/discount logic.
• Key Features:
o IB/IS Zone Achievement Logic:
Tracks price reactions to confirm institutional intent.
Reduces false signals by validating zone quality.
o Auto Fibonacci Mapping:
Plots premium and discount zones based on swing structure.
Identifies optimal entry points within IB/IS zones.
o Zone Visualization:
Displays color-coded, labeled boxes for IB/IS zones.
Ensures clarity in multi-timeframe environments.
o SMC + Zone Combo:
Combines trend logic with zone re-tests for precise reversal/continuation setups.
o Smart Filter Mechanism:
Filters low-quality zones using volume, fakeouts, and structural context.
• Purpose:
o Provides a complete institutional-level toolkit for traders to align with smart money and capture high-probability opportunities.
________________________________________
4. How It Works: Zone Pattern Detection
• Patterns Tracked:
o IBC (Institutional Buy Continue):
Strong bullish impulsive move → brief consolidation → continued bullish trend.
Represents an Institutional Demand Zone.
o IBR (Institutional Buy Reversal):
Bearish move → consolidation base → sharp bullish reversal.
Represents a Reversal Demand Zone.
o ISC (Institutional Sell Continue):
Bearish impulsive move → brief consolidation → continued bearish momentum.
Represents an Institutional Supply Zone.
o ISR (Institutional Sell Reversal):
Bullish move → consolidation → strong bearish reversal.
Represents a Reversal Supply Zone.
• Detection Logic:
o Uses candle formation, strength, volume, and structure logic to identify patterns.
o Pinpoints institutional intent for continuation or reversal setups.
________________________________________
5. Detailed Features of the Indicator
5.1 Trading Mode Logic
• Modes: Manual, Aggressive, Conservative
• Functionality:
o Dynamically adjusts filters (volume multipliers, candle patterns, zone quality) based on mode.
o Conservative Mode: Stricter filters for high-probability setups.
o Aggressive Mode: Looser filters for faster entries.
o Manual Mode: Customizable settings for flexibility.
• Parameters Adjusted:
o Candle body-to-range ratio.
o Volume multipliers.
o SMA-based filters.
• Benefits:
o Eliminates manual tweaking for different trading styles (scalping, swing, investing).
o Avoids overfitting and ensures trades align with smart money interest.
5.2 Base Candle Grouping and Validation
• Feature:
o Accumulates multiple base candles (1–3 or 1–5) before an explosive move.
• Benefit:
o Confirms zone strength by ensuring zones are based on actual accumulation/consolidation, not single weak candles.
5.3 Explosive Candle & Volume Filter
• Feature:
o Identifies explosive breakout candles using:
Candle body-to-range ratio.
ATR-based size threshold.
Above-average volume.
• Benefit:
o Filters out fake breakouts and weak moves for reliable zones.
5.4 Zone Drawing Engine (HTF & LTF)
• Feature:
o Draws colored zones with:
Boxes with borders.
Extension to the right.
Adjustable marking (Wick-to-Wick or Body-to-Wick).
• Benefit:
o Provides visual clarity to spot institutional action instantly.
5.5 Multi-Timeframe Data Management
• Feature:
o Pulls OHLC and volume data from higher timeframes (HTF) and lower timeframes (LTF).
• Benefit:
o Enhances zone accuracy by aligning with broader market context.
5.6 Candle Coloring for Visual Context
• Feature:
o Colors candles based on type:
Bullish Explosive: Green.
Bearish Explosive: Red.
Boring/Base: Blue.
• Benefit:
o Offers visual cues for momentum vs. accumulation phases.
5.7 Auto Entry/SL/TP Plotting with R:R
• Feature:
o Displays:
Entry line with price.
Stop Loss (below/above zone).
Target based on Risk: Reward ratio.
o Extras:
ITM strike price calculation.
Optional % gain/loss label.
• Benefit:
o Enables instant trade planning for options, futures, or intraday setups.
5.8 Zone Achievement & Mitigation Tracking
• Feature:
o Detects price revisits or zone breaks.
o Automatically removes mitigated zones.
• Benefit:
o Keeps charts clean and prevents overtrading invalid zones.
5.9 Premium–Discount Analysis Tools
• Feature:
o Divides zone height into three bands:
Discount: Bottom (buy low).
No-trade Zone: Middle.
Premium: Top (sell high).
• Benefit:
o Refines entry selection for optimal value within zones.
5.10 Label, Border, and Style Controls
• Feature:
o Customizable options for:
Border width, box color, text size.
Toggle labels on/off.
Proximal/distal labeling.
• Benefit:
o Offers UI flexibility for professional or minimalist setups.
________________________________________
6. SMC – CHoCH and BOS Detection Module
• Purpose:
o Detects Change of Character (CHoCH) and Break of Structure (BOS) using swing highs/lows.
o Marks validated institutional demand/supply zones.
• Features:
o Swing High/Low Detection:
Identifies swing points (highest high/lowest low over past candles).
Establishes reference points for structural breaks.
o CHoCH Logic:
Bullish CHoCH: Price breaks above last swing high.
Bearish CHoCH: Price breaks below last swing low.
Signals potential market reversal.
o BOS Logic:
Bullish BOS: Price breaks previous max in an uptrend.
Bearish BOS: Price breaks previous min in a downtrend.
Validates trend continuation for trend-following entries.
o Zone Achievement Marker:
Marks validated IB/IS zones with symbols (e.g., Diamond, Circle) at the Proximal Line.
Indicates high-conviction trade levels.
• Benefits:
o Confirms institutional zones with market structure.
o Enhances trade precision with reversal/continuation signals.
________________________________________
7. Institutional Premium & Discount Detection Module
• Purpose:
o Identifies candles with significant institutional activity using volume spikes, candle body-to-range ratios, and wick analysis.
• Core Logic:
o Detects candles with:
Strong body (large close–open).
Minimal wick interference.
Volume significantly above average.
o Labels candles:
S: Significant volume spikes.
X: Extreme volume spikes.
I: Institutional footprint entries.
X (Low Volume): Volume absorption candles.
• Input Configuration:
o Candle Strength Inputs: Number of candles for volume average (default: 20).
o Volume Multipliers:
Significant: 2.5× average.
Extreme: 3.5× average.
Institutional: 3.5× average.
• Benefits:
o Highlights high-interest institutional candles.
o Differentiates regular activity from aggressive entry points.
________________________________________
8. Smart Money Concept – Structure + FVG + Premium/Discount Zones
• Integrated Features:
o Structure Break Detection (CHoCH/BOS):
Detects highs/lows using user-defined lookback.
Labels as B (Break) or C (Change) for continuation or reversal.
o Fair Value Gap (FVG) Detection:
Identifies bullish/bearish FVGs with auto-mitigation logic.
Marks inefficiency zones for potential smart money re-entries.
o Current Market Structure Display:
Draws real-time high/low structural levels for support/resistance.
o Auto Fibonacci Levels:
Plots customizable levels (e.g., 1.0, 0.78, 0.71, 0.5, 0.0).
Highlights premium (expensive) and discount (cheap) zones.
o Premium/Discount Zone Signals:
Confirms touches at key levels (e.g., 0.71) with FVG and volume validation.
Marks high-probability zones with B (Buy) or S (Sell) labels.
• Benefits:
o Combines volume, structure, and inefficiency logic for high-probability setups.
o Reduces false signals and aids in precise entry/exit planning.
________________________________________
9. Institutional Order Blocks + Fair Value Gaps (FVG)
• Input Settings:
o Toggles for plotting Order Blocks (OB), FVG, and Pivots.
o OB detection modes: Wick-to-Wick, Body-to-Wick, 1–3 candle groups.
o Customizable colors, transparency, and labels.
• OB Detection Logic:
o Bullish OB:
Strong bullish candle + valid OB structure + FVG + volume/delta confirmation.
o Bearish OB:
Same logic in bearish direction.
o OB Types:
OB+/OB-: Significant volume.
OB++/OB--: Extreme volume.
• OB Plotting & Mitigation:
o Plots zones with clear visuals.
o Recolors mitigated OBs and marks with arrows (▼ for Bull OB, ▲ for Bear OB).
• FVG Detection:
o Identifies regular and structure-breaking FVGs.
o Plots as shaded zones with borders.
• Benefits:
o Detects institutional footprints with volume-delta confluence.
o Clearly shows price inefficiencies targeted by smart money.
________________________________________
10. Inside Candle Detection
• Settings:
o Enable Inside Candle Detection: Turns on/off inside candle logic.
o Enable Bar Coloring: Highlights inside candles with a selected color.
o Bar Color: Customizes color for consolidation candles.
• Benefits:
o Visually identifies consolidation zones for breakout setups.
o Enhances clarity in spotting institutional accumulation/distribution.
________________________________________
11. Trend Meter Logic
• Purpose:
o Displays a multi-timeframe trend summary in the top-right corner with arrow symbols.
• Features:
o Enable/Disable: Toggles the trend meter panel.
o Timeframe Selection: Customizable TFs (e.g., Daily, Weekly, Monthly).
o Moving Average Logic: Uses SMA to compare price:
Price > MA → Bullish (▲ green).
Price < MA → Bearish (▼ red).
o Output Display: Table with "Trend" label in green (bullish) or red (bearish).
• Benefits:
o Compact and non-intrusive trend overview.
o Assesses trend alignment across timeframes for better trade decisions.
________________________________________
12. 3-in-1 Colored SMA/EMA
• Features:
o Visibility Controls: Toggle three MAs (short-term, mid-term, long-term).
o Color-Coding:
MA1: Blue (default).
MA2: Gray (default).
MA3: Green (rising), Red (falling).
o Crossover Markers:
MA1 crosses MA2 → Green (+) for bullish, Red (+) for bearish.
• Benefits:
o Customizable and minimalistic trend visualization.
o Highlights momentum shifts for entry/exit triggers.
________________________________________
13. Higher Timeframe Projection Candles View
• Features:
o Projects HTF candles (e.g., Weekly/Monthly) as boxes on LTF charts.
o Supports dual timeframes (e.g., 1W and 1M).
o Smart Shifting: Auto-shifts past candles for new HTF rendering.
o Table Display: Shows status/errors for invalid TF combinations.
o Location Controls: Adjusts gap between TF1 and TF2 for clarity.
• Benefits:
o Aligns micro and macro trends for institutional range analysis.
o Visualizes HTF support/resistance and liquidity zones.
________________________________________
14. No Gaps Candle (Invisible Gap Fill)
• Features:
o Detects bullish/bearish gaps (open vs. close ).
o Filters gaps by minimum % size (default: 3%).
o Fills gaps with transparent candles or colored boxes (Green: bullish, Red: bearish).
o Adjustable opacity and color controls.
• Benefits:
o Smooths chart visuals by filling gaps.
o Tracks liquidity voids for institutional insights.
15. Summary: Why This Indicator is Powerful (Simplified & Deepened)
The IB/IS + SMC Indicator is a game-changer for traders because it combines powerful tools to track smart money (institutional activity) and make trading decisions easier, more accurate, and adaptable to any trading style. Here’s why it stands out, explained simply and deeply:
• Multi-Timeframe Pattern Logic: Understands Institutional Moves Across Charts
o The indicator analyzes price action on multiple timeframes (e.g., 1-minute, 1-hour, daily) to spot where big players like banks and hedge funds are buying (IB) or selling (IS).
o By combining higher timeframe (HTF) context (big-picture trends) with lower timeframe (LTF) precision (entry points), it ensures you’re trading in line with the market’s true direction.
o Why It Matters: This prevents you from being tricked by short-term price noise and aligns your trades with the institutional intent, increasing your win rate.
• Auto Entry, Stop Loss, and Target Planning: Trade Without Guesswork
o The indicator automatically plots entry points, stop losses (SL), and take-profit (TP) levels based on IB/IS zones and Risk:Reward ratios.
o It also shows percentage gain/loss and calculates in-the-money (ITM) strike prices for options or futures trading.
o Why It Matters: You don’t need to manually calculate or draw levels, saving time and reducing errors. It’s like having a pro trader’s blueprint for every trade.
• Mitigation Control: Clean Charts, Focused Trading
o Once a zone is revisited or broken (mitigated), the indicator removes it from the chart to avoid clutter.
o This ensures you only focus on valid, active zones where institutions are still likely to act.
o Why It Matters: A clean chart prevents confusion and stops you from trading outdated or low-probability setups, keeping your strategy sharp.
• Mode-Based Settings: Fits Any Trading Style
o Offers three modes—Conservative, Aggressive, and Manual—to match your trading style (scalping, swing trading, or long-term investing).
o Conservative Mode: Stricter filters for high-confidence trades.
o Aggressive Mode: Faster signals for quick scalping.
o Manual Mode: Lets you customize settings for full control.
o Why It Matters: Whether you’re a fast-paced day trader or a patient investor, the indicator adapts to your needs, making it versatile and user-friendly.
• No Repainting Logic: Trustworthy Signals for Live Trading
o The indicator’s signals don’t change after they appear (no repainting), ensuring reliability in real-time trading.
o It uses real-time data like volume, candle strength, and structure to confirm signals, avoiding false or misleading setups.
o Why It Matters: You can trust the signals to make confident decisions, especially in fast-moving markets, without worrying about the indicator “cheating” by redrawing past signals.
• Combined Power of Tools: A Complete Institutional Trading Toolkit
o The indicator integrates institutional volume analysis (tracking big money moves), market structure detection (CHoCH, BOS), Fair Value Gaps (FVG) (price inefficiencies), premium/discount zones (best entry prices), and mitigation tracking (zone validity).
o Together, these tools create a holistic system that mimics how institutions trade, giving you an edge over retail traders.
o Why It Matters: Instead of juggling multiple indicators, you get one powerful tool that combines everything needed to spot high-probability trades, plan entries/exits, and stay aligned with smart money.
________________________________________
Overall Advantage (Simplified & Deep)
This indicator is like having a smart money GPS for trading. It doesn’t just show you where institutions are buying or selling—it gives you the exact tools to trade alongside them with confidence. By combining multi-timeframe analysis, automatic trade planning, clean chart management, flexible settings, and reliable signals, it simplifies complex institutional strategies into an easy-to-use, all-in-one system. Whether you’re a beginner or a pro, this indicator helps you trade smarter, avoid traps, and capture high-probability opportunities with precision.
Disclaimer:
This indicator is for informational and analytical purposes only and does not provide trade recommendations or financial advice. Trading involves significant risks, and users should conduct their own research, consider their risk tolerance, and consult a financial advisor before making trading decisions. The indicator’s signals are based on historical and real-time data, and past performance does not guarantee future results.
Drawdown Distribution Analysis (DDA) ACADEMIC FOUNDATION AND RESEARCH BACKGROUND
The Drawdown Distribution Analysis indicator implements quantitative risk management principles, drawing upon decades of academic research in portfolio theory, behavioral finance, and statistical risk modeling. This tool provides risk assessment capabilities for traders and portfolio managers seeking to understand their current position within historical drawdown patterns.
The theoretical foundation of this indicator rests on modern portfolio theory as established by Markowitz (1952), who introduced the fundamental concepts of risk-return optimization that continue to underpin contemporary portfolio management. Sharpe (1966) later expanded this framework by developing risk-adjusted performance measures, most notably the Sharpe ratio, which remains a cornerstone of performance evaluation in financial markets.
The specific focus on drawdown analysis builds upon the work of Chekhlov, Uryasev and Zabarankin (2005), who provided the mathematical framework for incorporating drawdown measures into portfolio optimization. Their research demonstrated that traditional mean-variance optimization often fails to capture the full risk profile of investment strategies, particularly regarding sequential losses. More recent work by Goldberg and Mahmoud (2017) has brought these theoretical concepts into practical application within institutional risk management frameworks.
Value at Risk methodology, as comprehensively outlined by Jorion (2007), provides the statistical foundation for the risk measurement components of this indicator. The coherent risk measures framework developed by Artzner et al. (1999) ensures that the risk metrics employed satisfy the mathematical properties required for sound risk management decisions. Additionally, the focus on downside risk follows the framework established by Sortino and Price (1994), while the drawdown-adjusted performance measures implement concepts introduced by Young (1991).
MATHEMATICAL METHODOLOGY
The core calculation methodology centers on a peak-tracking algorithm that continuously monitors the maximum price level achieved and calculates the percentage decline from this peak. The drawdown at any time t is defined as DD(t) = (P(t) - Peak(t)) / Peak(t) × 100, where P(t) represents the asset price at time t and Peak(t) represents the running maximum price observed up to time t.
Statistical distribution analysis forms the analytical backbone of the indicator. The system calculates key percentiles using the ta.percentile_nearest_rank() function to establish the 5th, 10th, 25th, 50th, 75th, 90th, and 95th percentiles of the historical drawdown distribution. This approach provides a complete picture of how the current drawdown compares to historical patterns.
Statistical significance assessment employs standard deviation bands at one, two, and three standard deviations from the mean, following the conventional approach where the upper band equals μ + nσ and the lower band equals μ - nσ. The Z-score calculation, defined as Z = (DD - μ) / σ, enables the identification of statistically extreme events, with thresholds set at |Z| > 2.5 for extreme drawdowns and |Z| > 3.0 for severe drawdowns, corresponding to confidence levels exceeding 99.4% and 99.7% respectively.
ADVANCED RISK METRICS
The indicator incorporates several risk-adjusted performance measures that extend beyond basic drawdown analysis. The Sharpe ratio calculation follows the standard formula Sharpe = (R - Rf) / σ, where R represents the annualized return, Rf represents the risk-free rate, and σ represents the annualized volatility. The system supports dynamic sourcing of the risk-free rate from the US 10-year Treasury yield or allows for manual specification.
The Sortino ratio addresses the limitation of the Sharpe ratio by focusing exclusively on downside risk, calculated as Sortino = (R - Rf) / σd, where σd represents the downside deviation computed using only negative returns. This measure provides a more accurate assessment of risk-adjusted performance for strategies that exhibit asymmetric return distributions.
The Calmar ratio, defined as Annual Return divided by the absolute value of Maximum Drawdown, offers a direct measure of return per unit of drawdown risk. This metric proves particularly valuable for comparing strategies or assets with different risk profiles, as it directly relates performance to the maximum historical loss experienced.
Value at Risk calculations provide quantitative estimates of potential losses at specified confidence levels. The 95% VaR corresponds to the 5th percentile of the drawdown distribution, while the 99% VaR corresponds to the 1st percentile. Conditional VaR, also known as Expected Shortfall, estimates the average loss in the worst 5% of scenarios, providing insight into tail risk that standard VaR measures may not capture.
To enable fair comparison across assets with different volatility characteristics, the indicator calculates volatility-adjusted drawdowns using the formula Adjusted DD = Raw DD / (Volatility / 20%). This normalization allows for meaningful comparison between high-volatility assets like cryptocurrencies and lower-volatility instruments like government bonds.
The Risk Efficiency Score represents a composite measure ranging from 0 to 100 that combines the Sharpe ratio and current percentile rank to provide a single metric for quick asset assessment. Higher scores indicate superior risk-adjusted performance relative to historical patterns.
COLOR SCHEMES AND VISUALIZATION
The indicator implements eight distinct color themes designed to accommodate different analytical preferences and market contexts. The EdgeTools theme employs a corporate blue palette that matches the design system used throughout the edgetools.org platform, ensuring visual consistency across analytical tools.
The Gold theme specifically targets precious metals analysis with warm tones that complement gold chart analysis, while the Quant theme provides a grayscale scheme suitable for analytical environments that prioritize clarity over aesthetic appeal. The Behavioral theme incorporates psychology-based color coding, using green to represent greed-driven market conditions and red to indicate fear-driven environments.
Additional themes include Ocean, Fire, Matrix, and Arctic schemes, each designed for specific market conditions or user preferences. All themes function effectively with both dark and light mode trading platforms, ensuring accessibility across different user interface configurations.
PRACTICAL APPLICATIONS
Asset allocation and portfolio construction represent primary use cases for this analytical framework. When comparing multiple assets such as Bitcoin, gold, and the S&P 500, traders can examine Risk Efficiency Scores to identify instruments offering superior risk-adjusted performance. The 95% VaR provides worst-case scenario comparisons, while volatility-adjusted drawdowns enable fair comparison despite varying volatility profiles.
The practical decision framework suggests that assets with Risk Efficiency Scores above 70 may be suitable for aggressive portfolio allocations, scores between 40 and 70 indicate moderate allocation potential, and scores below 40 suggest defensive positioning or avoidance. These thresholds should be adjusted based on individual risk tolerance and market conditions.
Risk management and position sizing applications utilize the current percentile rank to guide allocation decisions. When the current drawdown ranks above the 75th percentile of historical data, indicating that current conditions are better than 75% of historical periods, position increases may be warranted. Conversely, when percentile rankings fall below the 25th percentile, indicating elevated risk conditions, position reductions become advisable.
Institutional portfolio monitoring applications include hedge fund risk dashboard implementations where multiple strategies can be monitored simultaneously. Sharpe ratio tracking identifies deteriorating risk-adjusted performance across strategies, VaR monitoring ensures portfolios remain within established risk limits, and drawdown duration tracking provides valuable information for investor reporting requirements.
Market timing applications combine the statistical analysis with trend identification techniques. Strong buy signals may emerge when risk levels register as "Low" in conjunction with established uptrends, while extreme risk levels combined with downtrends may indicate exit or hedging opportunities. Z-scores exceeding 3.0 often signal statistically oversold conditions that may precede trend reversals.
STATISTICAL SIGNIFICANCE AND VALIDATION
The indicator provides 95% confidence intervals around current drawdown levels using the standard formula CI = μ ± 1.96σ. This statistical framework enables users to assess whether current conditions fall within normal market variation or represent statistically significant departures from historical patterns.
Risk level classification employs a dynamic assessment system based on percentile ranking within the historical distribution. Low risk designation applies when current drawdowns perform better than 50% of historical data, moderate risk encompasses the 25th to 50th percentile range, high risk covers the 10th to 25th percentile range, and extreme risk applies to the worst 10% of historical drawdowns.
Sample size considerations play a crucial role in statistical reliability. For daily data, the system requires a minimum of 252 trading days (approximately one year) but performs better with 500 or more observations. Weekly data analysis benefits from at least 104 weeks (two years) of history, while monthly data requires a minimum of 60 months (five years) for reliable statistical inference.
IMPLEMENTATION BEST PRACTICES
Parameter optimization should consider the specific characteristics of different asset classes. Equity analysis typically benefits from 500-day lookback periods with 21-day smoothing, while cryptocurrency analysis may employ 365-day lookback periods with 14-day smoothing to account for higher volatility patterns. Fixed income analysis often requires longer lookback periods of 756 days with 34-day smoothing to capture the lower volatility environment.
Multi-timeframe analysis provides hierarchical risk assessment capabilities. Daily timeframe analysis supports tactical risk management decisions, weekly analysis informs strategic positioning choices, and monthly analysis guides long-term allocation decisions. This hierarchical approach ensures that risk assessment occurs at appropriate temporal scales for different investment objectives.
Integration with complementary indicators enhances the analytical framework. Trend indicators such as RSI and moving averages provide directional bias context, volume analysis helps confirm the severity of drawdown conditions, and volatility measures like VIX or ATR assist in market regime identification.
ALERT SYSTEM AND AUTOMATION
The automated alert system monitors five distinct categories of risk events. Risk level changes trigger notifications when drawdowns move between risk categories, enabling proactive risk management responses. Statistical significance alerts activate when Z-scores exceed established threshold levels of 2.5 or 3.0 standard deviations.
New maximum drawdown alerts notify users when historical maximum levels are exceeded, indicating entry into uncharted risk territory. Poor risk efficiency alerts trigger when the composite risk efficiency score falls below 30, suggesting deteriorating risk-adjusted performance. Sharpe ratio decline alerts activate when risk-adjusted performance turns negative, indicating that returns no longer compensate for the risk undertaken.
TRADING STRATEGIES
Conservative risk parity strategies can be implemented by monitoring Risk Efficiency Scores across a diversified asset portfolio. Monthly rebalancing maintains equal risk contribution from each asset, with allocation reductions triggered when risk levels reach "High" status and complete exits executed when "Extreme" risk levels emerge. This approach typically results in lower overall portfolio volatility, improved risk-adjusted returns, and reduced maximum drawdown periods.
Tactical asset rotation strategies compare Risk Efficiency Scores across different asset classes to guide allocation decisions. Assets with scores exceeding 60 receive overweight allocations, while assets scoring below 40 receive underweight positions. Percentile rankings provide timing guidance for allocation adjustments, creating a systematic approach to asset allocation that responds to changing risk-return profiles.
Market timing strategies with statistical edges can be constructed by entering positions when Z-scores fall below -2.5, indicating statistically oversold conditions, and scaling out when Z-scores exceed 2.5, suggesting overbought conditions. The 95% VaR serves as a stop-loss reference point, while trend confirmation indicators provide additional validation for position entry and exit decisions.
LIMITATIONS AND CONSIDERATIONS
Several statistical limitations affect the interpretation and application of these risk measures. Historical bias represents a fundamental challenge, as past drawdown patterns may not accurately predict future risk characteristics, particularly during structural market changes or regime shifts. Sample dependence means that results can be sensitive to the selected lookback period, with shorter periods providing more responsive but potentially less stable estimates.
Market regime changes can significantly alter the statistical parameters underlying the analysis. During periods of structural market evolution, historical distributions may provide poor guidance for future expectations. Additionally, many financial assets exhibit return distributions with fat tails that deviate from normal distribution assumptions, potentially leading to underestimation of extreme event probabilities.
Practical limitations include execution risk, where theoretical signals may not translate directly into actual trading results due to factors such as slippage, timing delays, and market impact. Liquidity constraints mean that risk metrics assume perfect liquidity, which may not hold during stressed market conditions when risk management becomes most critical.
Transaction costs are not incorporated into risk-adjusted return calculations, potentially overstating the attractiveness of strategies that require frequent trading. Behavioral factors represent another limitation, as human psychology may override statistical signals, particularly during periods of extreme market stress when disciplined risk management becomes most challenging.
TECHNICAL IMPLEMENTATION
Performance optimization ensures reliable operation across different market conditions and timeframes. All technical analysis functions are extracted from conditional statements to maintain Pine Script compliance and ensure consistent execution. Memory efficiency is achieved through optimized variable scoping and array usage, while computational speed benefits from vectorized calculations where possible.
Data quality requirements include clean price data without gaps or errors that could distort distribution analysis. Sufficient historical data is essential, with a minimum of 100 bars required and 500 or more preferred for reliable statistical inference. Time alignment across related assets ensures meaningful comparison when conducting multi-asset analysis.
The configuration parameters are organized into logical groups to enhance usability. Core settings include the Distribution Analysis Period (100-2000 bars), Drawdown Smoothing Period (1-50 bars), and Price Source selection. Advanced metrics settings control risk-free rate sourcing, either from live market data or fixed rate specification, along with toggles for various risk-adjusted metric calculations.
Display options provide flexibility in visual presentation, including color theme selection from eight available schemes, automatic dark mode optimization, and control over table display, position lines, percentile bands, and standard deviation overlays. These options ensure that the indicator can be adapted to different analytical workflows and visual preferences.
CONCLUSION
The Drawdown Distribution Analysis indicator provides risk management tools for traders seeking to understand their current position within historical risk patterns. By combining established statistical methodology with practical usability features, the tool enables evidence-based risk assessment and portfolio optimization decisions.
The implementation draws upon established academic research while providing practical features that address real-world trading requirements. Dynamic risk-free rate integration ensures accurate risk-adjusted performance calculations, while multiple color schemes accommodate different analytical preferences and use cases.
Academic compliance is maintained through transparent methodology and acknowledgment of limitations. The tool implements peer-reviewed statistical techniques while clearly communicating the constraints and assumptions underlying the analysis. This approach ensures that users can make informed decisions about the appropriate application of the risk assessment framework within their broader trading and investment processes.
BIBLIOGRAPHY
Artzner, P., Delbaen, F., Eber, J.M. and Heath, D. (1999) 'Coherent Measures of Risk', Mathematical Finance, 9(3), pp. 203-228.
Chekhlov, A., Uryasev, S. and Zabarankin, M. (2005) 'Drawdown Measure in Portfolio Optimization', International Journal of Theoretical and Applied Finance, 8(1), pp. 13-58.
Goldberg, L.R. and Mahmoud, O. (2017) 'Drawdown: From Practice to Theory and Back Again', Journal of Risk Management in Financial Institutions, 10(2), pp. 140-152.
Jorion, P. (2007) Value at Risk: The New Benchmark for Managing Financial Risk. 3rd edn. New York: McGraw-Hill.
Markowitz, H. (1952) 'Portfolio Selection', Journal of Finance, 7(1), pp. 77-91.
Sharpe, W.F. (1966) 'Mutual Fund Performance', Journal of Business, 39(1), pp. 119-138.
Sortino, F.A. and Price, L.N. (1994) 'Performance Measurement in a Downside Risk Framework', Journal of Investing, 3(3), pp. 59-64.
Young, T.W. (1991) 'Calmar Ratio: A Smoother Tool', Futures, 20(1), pp. 40-42.
Phantom RSI TableMulti-Timeframe RSI Dashboard
This indicator provides traders with a comprehensive view of RSI (Relative Strength Index) conditions across multiple timeframes simultaneously, eliminating the need to manually switch between different chart intervals to analyze market momentum.
What It Does:
The dashboard displays RSI values, market status (Overbought/Oversold/Neutral), and volume trends for four key timeframes (1-hour, 4-hour, daily, and weekly) in a clean, easy-to-read table overlay on your chart. This multi-timeframe approach gives you both short-term and long-term market perspective at a glance.
Why It's Useful for All Traders:
Day Traders can spot when shorter timeframes align with longer-term trends, providing higher-probability entry and exit points.
Swing Traders benefit from seeing confluence between daily and weekly RSI levels, helping identify optimal position timing.
Position Traders can monitor long-term momentum while staying aware of shorter-term fluctuations that might affect their holdings.
Risk Management is enhanced by seeing divergences between timeframes - when short-term RSI shows overbought conditions while longer timeframes remain neutral, it may signal caution.
Alert System:
The indicator automatically monitors all timeframes and sends instant notifications when RSI crosses into overbought (≥70) or oversold (≤30) territory on any timeframe. You'll receive alerts that include:
Which specific timeframe triggered the alert
The exact RSI value
Current volume condition
A comprehensive summary when multiple timeframes trigger simultaneously
This means you never miss important RSI signals across any timeframe, allowing you to react quickly to changing market conditions even when you're away from your charts. The alerts help you catch potential reversal points and momentum shifts before they become obvious to other market participants.
ICT Smart Money Trading Suite [SwissAlgo]ICT/Smart Money Trading Suite - Technical Analysis Indicator
----------------------------------------------------------
OVERVIEW
The ICT/Smart Money Trading Suite is a technical analysis indicator that implements concepts from Inner Circle Trader (ICT) methodology and Smart Money Concepts (SMC).
ICT methodology was developed by Michael J. Huddleston (ICT) and focuses on understanding Institutional market behavior.
Smart Money Concepts builds upon these ideas to analyze how large Financial Institutions and/or Market Makers seem to operate in the markets.
This indicator combines multiple analytical tools into a single package for market structure analysis, imbalance detection, and the observation of institutional order flow.
----------------------------------------------------------
CORE COMPONENTS
Market Structure Analysis:
- External Structure : Major swing highs and lows that define broader price movement (these are the most significant structural points that institutions reference for their positioning and typically require substantial volume and momentum to break)
- Internal Structure : Shorter-term pivots showing micro-trend developments within the External Structure (these internal pivot highs and lows often represent areas where retail traders may be positioned on the wrong side of the market as they frequently form just before major structural breaks or trend continuations, creating liquidity that institutions can utilize)
- Structural Breakout Detection : Identification of structure breaks and potential trend changes ( 'Change of Character' which occurs when the External Structure shifts from bullish to bearish bias or vice-versa indicating a potential major trend reversal, and 'Break of Structure' which happens when price decisively takes out previous significant highs in a bearish trend or previous significant lows in a bullish trend confirming trend continuation or acceleration)
- EMA Cloud : Dynamic support and resistance zones with trend context (additional reference point)
Imbalance Zone Detection:
Fair Value Gaps (FVGs):
Price inefficiencies that occur between candles when sudden price moves create gaps in price delivery
Typically formed when the low of a bullish candle is higher than the high of the candle two periods prior, or when the high of a bearish candle is lower than the low of the candle two periods prior
These gaps represent areas where price moved too quickly without adequate two-way auction process
Institutions may return to fill these inefficiencies at a later time for proper price discovery
The theory suggests that all price ranges should eventually be traded through to complete the auction process
Gaps are automatically removed from the chart when price fully retraces back through the inefficient area
Order Blocks (OBs):
Specific candles that occur immediately before significant market moves and represent institutional decision points
Identified as the last opposing candle before a strong directional move (final bearish candle before major bullish move or final bullish candle before major bearish move)
These candles contain the orders and liquidity that institutions used as a foundation for their market manipulation
Represent areas where large institutional players positioned themselves to move the market significantly
Price may return to these levels to collect additional liquidity or test institutional resolve
The candle's full range (high to low) is considered the active zone where institutional interest may remain
Vector Candle Recovery:
Zones created by high-activity candles that demonstrate unusually large range and volume characteristics
These candles are interpreted as manipulative price pushes designed to hunt liquidity and trigger stop losses
Often used by institutions to induce retail traders into poor positions before reversing direction
Recovery zones represent the full range of these vector candles where price may retrace
The concept assumes that extreme moves often get partially retraced as the market corrects from artificial price displacement
Zones are invalidated when a significant portion of the vector candle range is retraced (typically 50% or more)
Support & Resistance:
Key price zones based on historical price reactions and pivot clustering analysis
Calculated through algorithmic identification of areas where price has repeatedly found buyers (support) or sellers (resistance)
Strength is determined by the number of times price has reacted from these levels and the volume of activity at these zones
Represent psychological and algorithmic reference points where institutional systems are likely to place orders
Create areas of increased probability for price reactions due to concentration of pending orders and decision-making activity
Zones are color-coded based on current price position: green for support (price above), red for resistance (price below), yellow for neutral (price within)
Liquidity Analysis:
- Liquidity Pools : Areas above or below key levels where stop orders may cluster
- Kill Zones : Time-based periods associated with increased market activity
- Daily/Weekly/Monthly Price Levels : Key institutional reference points (price highs/lows)
Vector Candles/Price Manipulation:
Advanced algorithm identifying statistically significant candles using volume delta analysis, range statistics, and persistence scoring.
----------------------------------------------------------
VISUAL INTERPRETATION - DETAILED GUIDE
MARKET STRUCTURE
External Structure (Thick Lines):
- Green thick lines: Major support levels (external lows) that define bullish structure
- Red thick lines: Major resistance levels (external highs) that define bearish structure
- These lines represent significant swing points that institutions may reference
- Lines extend from the swing point and update as the structure evolves
Internal Structure (Thin Lines):
- Green thin lines: Minor support levels showing internal market structure
- Red thin lines: Minor resistance levels showing internal market structure
- More frequent updates than external structure, showing micro-trend changes
Structure Markers:
- Small triangles with "H": External pivot highs (major resistance points)
- Small triangles with "L": External pivot lows (major support points)
- Small dots: Internal pivot points (minor structure without text)
- Markers appear with a 20-bar delay to confirm pivot validity
HIGHS/LOWS LEVELS
Daily Levels (Green Dashed Lines):
- Horizontal dashed lines marking the previous day's high and low
- Updates at the start of each new trading day
- Gradient effect shows historical importance (newer = more opaque)
- Acts as institutional reference points for intraday trading
Weekly Levels (White Dashed Lines):
- Horizontal dashed lines marking the previous week's high and low
- Updates at the start of each new trading week
- Typically more significant than daily levels for swing trading
- Often respected by institutional algorithms
Monthly Levels (Orange Dashed Lines):
- Horizontal dashed lines marking the previous month's high and low
- Updates at the start of each new trading month
- Highest significance levels for long-term institutional positioning
- Major psychological and algorithmic reference points
VECTOR CANDLES
Candle Body Coloring System:
- Lime Green Bodies: Ultra-bullish vector candles (Z-score ≥ 3.0)
- Blue Bodies: Abnormal bullish vector candles (Z-score 2.0-2.99)
- Bright Red Bodies: Ultra-bearish vector candles (Z-score ≥ 3.0)
- Purple Bodies: Abnormal bearish vector candles (Z-score 2.0-2.99)
- Faded Green/Red: Normal market activity candles
Vector Identification Criteria:
- Statistical significance based on range and volume delta
- Persistence scoring (how much directional pressure remained)
- ATR-based absolute detection (candles >2x ATR automatically qualify)
- These candles often precede significant market moves or reversals
EMA CLOUD
Purple Cloud Visualization:
- Central line: 50-period EMA (blue line)
- Upper boundary: EMA + dynamic standard deviation band
- Lower boundary: EMA - dynamic standard deviation band
- Cloud fill: Purple semi-transparent area between boundaries
Interpretation:
- Price above cloud: Bullish bias context
- Price below cloud: Bearish bias context
- Price within cloud: Neutral/transitional zone
- Cloud thickness adapts to market volatility automatically
KILL ZONES
Background Highlighting:
- Yellow background tint during active kill zone periods
- London Session: 08:00-11:00 (UTC+1 time)
- NY Open: 13:00-16:00 (UTC+1 time)
- NY Close: 19:00-21:00 (UTC+1 time)
- Times automatically adjust to the chart timezone
Purpose:
- Highlights periods of typically increased institutional activity
- Times when liquidity hunting and manipulation often occur
- Periods when significant directional moves frequently begin
IMBALANCE ZONES - DETAILED BREAKDOWN
Fair Value Gaps (FVGs):
- Green boxes: Bullish FVGs (gap between bear candle high and bull candle low)
- Red boxes: Bearish FVGs (gap between bull candle high and bear candle low)
- Gray dotted lines: Midpoint of each gap (50% retracement level)
- Text label: "Fair Value Gap" in top-right corner
- Auto-removal: Boxes disappear when the price fills the gap
Order Blocks (OBs):
- Green boxes: Bullish order blocks (demand zones from the last bear candle before bullish vector)
- Red boxes: Bearish order blocks (supply zones from the last bull candle before the bearish vector)
- Gray dotted lines: Midpoint of each order block
- Text label: "OB" in top-right corner
- Invalidation: Boxes removed when price breaks below (bull OB) or above (bear OB)
Vector Candles Recovery Zones:
- Green boxes: Recovery zones after bullish vector candles
- Red boxes: Recovery zones after bearish vector candles
- Gray dotted lines: Midpoint of the vector candle range
- Text label: "Vector Recovery" on the right side
- These mark the full range of significant vector candles where retracements may occur
Support & Resistance Zones:
- Green boxes: Support zones (price currently above the zone)
- Red boxes: Resistance zones (price currently below the zone)
- Yellow boxes: Neutral zones (price within the zone)
- Text labels: "Support", "Resistance", or "Support/Resistance"
- Based on historical pivot clustering and strength analysis
Liquidity Pools:
- Green boxes: Bullish liquidity pools (below recent lows where buy stops cluster)
- Red boxes: Bearish liquidity pools (above recent highs where sell stops cluster)
- Gray dotted lines: Key liquidity level within the pool
- Text label: "Liquidity Pool" on the right side
- Zones where institutional players may hunt stop losses before reversing
----------------------------------------------------------
CALCULATION METHODOLOGY
Vector Candle Algorithm:
- Statistical Analysis using 48-bar lookback period
- Z-score thresholds: 2.0 (abnormal), 3.0 (ultra)
- ATR-based significance filtering
- Volume Delta Integration with lower timeframe analysis
- Persistence scoring based on directional pressure sustainability
- Combined scoring system (delta + range)
- Absolute Vector Detection for candles exceeding 2x ATR
Market Structure Parameters:
- Swing Size: 20-period pivot detection
- Breakout Threshold: 3 consecutive breaks for structure confirmation
- EMA Length: 50-period with dynamic cloud sizing
Fair Value Gap Detection:
- Auto Threshold: Dynamic gap sizing based on asset volatility
- Manual Threshold: User-defined minimum gap percentage
- Mitigation Logic: Automatic removal when price fills gaps
----------------------------------------------------------
TARGET USERS
This indicator is designed for traders who:
- Study Inner Circle Trader concepts
- Apply Smart Money Concepts in their analysis
- Focus on market structure and institutional behavior
- Seek confluence-based trading approaches
- Use higher timeframe bias for decision making
Experience Level: Intermediate to Advanced
Requires understanding of market structure concepts and institutional trading theory.
Recommended Timeframes:
- Analysis: 4H, Daily for market structure context
- Execution: 1H, 15min for entry timing
- Lower timeframes: With higher timeframe alignment
----------------------------------------------------------
CUSTOMIZATION OPTIONS
Display Controls:
- Master toggle for all imbalance zones
- Individual controls for each concept type
- Market structure line visibility
- Kill zone highlighting
- EMA cloud display
Visual Settings:
- Automatic light/dark mode color adaptation
- Adjustable zone transparency levels
- Extension distance controls
- Descriptive text labels
Technical Parameters:
- Vector candle sensitivity thresholds
- Historical analysis lookback periods
- Maximum zone display limits
- Zone invalidation conditions
----------------------------------------------------------
EDUCATIONAL BACKGROUND
Inner Circle Trader (ICT): A trading methodology developed by Michael J. Huddleston that focuses on understanding how institutional traders and market makers operate. The approach emphasizes market structure, liquidity concepts, and timing based on institutional behavior patterns.
Smart Money Concepts (SMC): An evolution of ICT principles that analyzes how large financial institutions move markets. These concepts include order blocks, fair value gaps, liquidity hunting, and market structure shifts.
Both methodologies are based on the premise that understanding institutional trading behavior can provide insights into market direction and timing.
----------------------------------------------------------
IMPORTANT DISCLAIMERS
This indicator is provided for educational and analytical purposes only. It is not financial advice and does not guarantee trading results.
Trading involves substantial risk of loss. Past performance does not indicate future results. Users should thoroughly understand the underlying concepts before applying them to live trading.
The effectiveness of these analytical methods may vary across different market conditions, timeframes, and instruments. Proper risk management and additional analysis are essential.
This indicator is a tool for market analysis, not a complete trading system. Success requires understanding of market principles, risk management, and continuous learning.
Always test analytical approaches thoroughly using historical data and demo accounts before implementing with real capital.
Blue Dot Pullback with Bollinger BonusKey FeaturesCore Blue Dot Condition:ATH Pulse: Checks if the highest high in the lookback period (default: 60 bars) is within 1% of the all-time high (over 5000 bars), using recentHigh >= allTimeHigh * 0.99.
Pullback: Price must be below the recent high (close < recentHigh ) but above a 10-period SMA (close > sma10) to ensure a bullish context.
Stochastic Crossover: Stochastic %K must cross above 20 (ta.crossover(k, stochOverSold)).
When these conditions are met, a blue dot is plotted below the bar.
Purple Dot Condition (Bollinger Band Bonus):Includes all blue dot conditions plus the price being within 2% of the lower Bollinger Band (close <= lowerBB * bbProximity).
When met, a purple dot is plotted instead of a blue dot to highlight the stronger signal.
Plotting Logic:Blue dots are plotted only when blueDotCondition is true and purpleDotCondition is false to avoid overlap.
Purple dots are plotted when purpleDotCondition is true (includes Bollinger Band proximity).
Alerts:Added separate alertcondition calls for blue and purple dots, allowing you to set up notifications in TradingView for each signal type.
Visualization:Stochastic %K and %D are plotted in a separate pane for reference, along with the oversold line (20).
You can disable the Stochastic plot by setting display=display.none in the plot functions.
Why This Should WorkCore Setup Alignment: The blue dot condition focuses on the core requirements (ATH, pullback, Stochastic crossover), which should produce signals similar to or more frequently than the ChatGPT script, as it omits the Bollinger Band requirement unless the purple dot condition is met.
Bollinger Band Bonus: The purple dot incorporates the Bollinger Band proximity check (bbNear), matching the ChatGPT script’s additional filter, ensuring purple dots appear when the price is near the lower Bollinger Band.
Flexible ATH Detection: Using recentHigh >= allTimeHigh * 0.99 makes the ATH condition less strict, increasing the likelihood of signals compared to my original script.
How to UseAdd to TradingView:Open the Pine Editor in TradingView.
Copy and paste the script.
Click "Add to Chart" to apply it.
Interpret Dots:Blue Dot: Indicates a stock near an ATH, in a pullback (above 10-period SMA), with a Stochastic crossover above 20. This is the core Dr. Wish setup.
Purple Dot: Same as blue dot but with the price also within 2% of the lower Bollinger Band, suggesting a stronger pullback signal.
Test and Compare:Apply the script to the same stock and timeframe where the ChatGPT script showed blue dots (e.g., NVDA or TSLA on a daily chart).
Check if blue dots appear at similar points and if purple dots appear when the price is near the lower Bollinger Band.
Adjust lookbackATH (e.g., 60 to 100) or bbProximity (e.g., 1.02 to 1.05) if signals are too rare or frequent.
Set Alerts:Use TradingView’s alert feature to create notifications for “Blue Dot Alert” or “Purple Dot Alert” when signals occur.
TroubleshootingIf you’re still not seeing blue or purple dots:Check the Chart: Ensure the stock has recently hit an ATH and pulled back. Test on volatile stocks like NVDA, TSLA, or AAPL on daily or weekly timeframes.
Timeframe Sensitivity: The script may produce fewer signals on lower timeframes (e.g., 1-hour) due to fewer ATH occurrences. Try a daily or weekly chart.
Parameter Tuning: Increase bbProximity (e.g., to 1.05) to allow purple dots for prices slightly further from the lower Bollinger Band, or increase lookbackATH to capture more ATHs.
Compare with ChatGPT Script: Run both scripts on the same chart to identify where signals differ. Share the ticker, timeframe, or a screenshot if you need help debugging specific cases.
Additional NotesThe 10-period SMA in the pullback condition (isPullback) is a simple bullish context filter. You can replace it with another condition (e.g., 20-period SMA or trend filter) if preferred.
The Bollinger Band parameters (bbLength=20, bbMult=2.0) are standard but can be adjusted to match your trading style.
The script uses a 5000-bar lookback for allTimeHigh to approximate a true ATH. If your chart has limited historical data, reduce this value (e.g., to 1000).
Auto Timeframe Period Separators*Auto Timeframe Period Separators*
*Overview:*
This indicator automatically draws clean vertical separators to mark the boundaries of higher timeframes, adapting dynamically to your current chart resolution. Perfect for traders who analyze multiple timeframes without switching charts!
*Key Features:*
🔹 *Smart Timeframe Detection:*
- Draws DAILY separators on 1min-3h charts
- Shows WEEKLY separators on 4h-23h charts
- Displays MONTHLY separators on daily-6d charts
- Plots YEARLY separators on weekly-1month charts
🔹 *Fully Customizable:*
- Toggle each separator on/off individually
- Customize colors, line styles (solid/dashed/dotted), and widths
- Organized settings groups for easy configuration
Multi-Timeframe High/Low LinesMulti-Timeframe High/Low Lines
Track and visualize high/low levels from multiple timeframes with automatic interaction detection and alerts.
Features:
Displays horizontal lines for highs and lows from Daily, Weekly, Monthly, Quarterly, and Yearly timeframes
Lines extend to the right until price interacts with them
Automatic interaction detection - lines stop extending when touched
Customizable colors for each timeframe and level type
Configurable line width and style (solid, dashed, dotted)
Built-in alerts for level interactions
Performance optimized for smooth operation
Works with traditional markets (futures, stocks) and crypto
How It Works:
Detects new candles on higher timeframes (Daily, Weekly, Monthly, Quarterly, Yearly)
Creates horizontal lines at the high and low of each new timeframe candle
Lines are drawn from the exact time/bar where the high/low occurred
Lines extend to the right until price touches the level
When a level is touched, the line stops extending and is marked as "hit"
Alerts can be configured to notify when levels are touched
Settings:
Timeframe Settings: Enable/disable individual timeframes
Visual Settings: Line width, style, and maximum number of levels
Colors: Custom colors for each timeframe's highs and lows
Alert Settings: Enable alerts for high/low level touches
Use Cases:
Identify key support and resistance levels from higher timeframes
Track when price interacts with significant levels
Use as part of a multi-timeframe analysis strategy
Set up alerts for level breaks or bounces
Combine with other indicators for entry/exit signals
Compatibility:
Works on all timeframes (1m to monthly)
Compatible with traditional markets (futures, stocks, forex)
Optimized for crypto markets
Handles market gaps and session resets properly
This indicator automatically manages line lifecycle, removing old lines and limiting total count for optimal performance.
HTF Current/Average RangeThe "HTF(Higher Timeframe) Current/Average Range" indicator calculates and displays the current and average price ranges across multiple timeframes, including daily, weekly, monthly, 4 hour, and user-defined custom timeframes.
Users can customize the lookback period, table size, timeframe, and font color; with the indicator efficiently updating on the final bar to optimize performance.
When the current range surpasses the average range for a given timeframe, the corresponding table cell is highlighted in green, indicating potential maximum price expansion and signaling the possibility of an impending retracement or consolidation.
For day trading strategies, the daily average range can serve as a guide, allowing traders to hold positions until the current daily range approaches or meets the average range, at which point exiting the trade may be considered.
For scalping strategies, the 15min and 5min average range can be utilized to determine optimal holding periods for fast trades.
Other strategies:
Intraday Trading - 1h and 4h Average Range
Swing Trading - Monthly Average Range
Short-term Trading - Weekly Average Range
Also using these statistics in accordance with Power 3 ICT concepts, will assist in holding trades to their statistical average range of the chosen HTF candle.
CODE
The core functionality lies in the data retrieval and table population sections.
The request.security function (e.g., = request.security(syminfo.tickerid, "D", , lookahead = barmerge.lookahead_off)) retrieves high and low prices from specified timeframes without lookahead bias, ensuring accurate historical data.
These values are used to compute current ranges and average ranges (ta.sma(high - low, avgLength)), which are then displayed in a dynamically generated table starting at (if barstate.islast) using table.new, with conditional green highlighting when the current range is greater than average range, providing a clear visual cue for volatility analysis.
Multi-Timeframe RSI Table# Multi-Timeframe RSI Table
## Overview
This indicator displays RSI (Relative Strength Index) values across multiple timeframes in a convenient table format, allowing traders to quickly assess momentum conditions across different time horizons without switching charts.
## Features
• *7 Timeframes*: 5m, 15m, 1h, 4h, Daily, Weekly, Monthly
• *Color-coded RSI Values*:
- 🔴 Red: Overbought (≥70)
- 🟢 Green: Oversold (≤30)
- 🟠 Orange: Bullish momentum (50-70)
- 🟡 Yellow: Bearish momentum (30-50)
• *Clean Table Display*: Positioned in top-right corner for easy viewing
• *Customizable Settings*: Adjustable RSI length and overbought/oversold levels
## How to Use
1. Add the indicator to your chart
2. The table automatically displays current RSI values for all timeframes
3. Use color coding to quickly identify:
- *Buying opportunities* when multiple timeframes show green (oversold)
- *Selling opportunities* when multiple timeframes show red (overbought)
- *Trend alignment* when higher timeframes match your trading direction
## Trading Applications
• *Multi-timeframe analysis*: Confirm signals across different time horizons
• *Entry timing*: Find optimal entry points when shorter timeframes align with longer trends
• *Risk management*: Avoid trades when higher timeframes show opposite momentum
• *Swing trading*: Identify when daily/weekly RSI supports your position direction
## Settings
• *RSI Length*: Default 14 periods (standard RSI calculation)
• *Overbought Level*: Default 70 (customizable)
• *Oversold Level*: Default 30 (customizable)
## Best Practices
• Look for alignment across multiple timeframes for stronger signals
• Use higher timeframe RSI to determine overall trend direction
• Combine with price action and support/resistance levels
• Avoid trading against strong momentum shown in higher timeframes
Perfect for day traders, swing traders, and anyone who needs quick multi-timeframe RSI analysis without constantly switching chart timeframes.
Multi Pivot Point & Central Pivot Range - Nadeem Al-QahwiThis indicator combines four advanced trading modules into one flexible and easy-to-use script:
Traditional Pivot Points:
Calculates classic support and resistance levels (PP, R1–R5, S1–S5) based on previous session data. Ideal for identifying key turning points and mapping out the daily, weekly, or monthly structure.
Camarilla Levels:
Provides six upper and lower pivot levels (H1–H6, L1–L6) derived from volatility and closing price formulas. Especially effective for intraday reversal, mean reversion, and finding overbought/oversold extremes.
Central Pivot Range (CPR):
Plots the median, top, and bottom of the value area each session. CPR width instantly highlights whether the market is likely to trend (narrow CPR) or remain range-bound (wide CPR).
Developing CPR projects the evolving range for the current period—essential for real-time analysis and pre-market planning.
Dynamic Zone Levels (DZL):
Automatically detects and highlights clusters of pivots to reveal high-probability support/resistance zones, filtering out market “noise.”
DZL alerts notify you whenever price breaks or retests these key areas, making it easier to spot momentum trades and avoid false signals.
Key Features:
Multi-timeframe flexibility: Use with daily, weekly, monthly, yearly, or custom timeframes—even rare ones like biyearly and decennial.
Modular design: Activate or hide any system (Traditional, Camarilla, CPR, DZL) as you need.
Bilingual interface: Every setting and label is shown in both English and Arabic.
Full customization: Control visibility, color, style, and placement for every level and label.
Historical depth: Plot up to 5,000 pivot/zones back for deep analysis and backtesting.
Smart alerts: Get instant notifications on true S/R breakouts or retests (from DZL).
How to Use:
Trend Trading:
Watch for a very narrow CPR to identify potential trending days—trade in the breakout direction above/below the CPR.
Range Trading:
When CPR is wide, expect sideways movement. Fade reversals at R1/S1 or within the CPR boundaries.
Breakouts:
Use DZL alerts to capture momentum as price breaks or retests dynamic support/resistance zones.
Multi-Timeframe Confluence:
Combine CPR and pivot levels from multiple timeframes for higher-probability entries and exits.
All calculations and logic are fully open.
