FFH Market structure v1The indicator determines the trend, its direction, confirmed trend, trend breakout levels (BoS), sideways ranges, volume profile point of control levels (vPoC) - all of this is conveniently displayed on the chart and helps complement your technical analysis.
The main idea of the script is to trade volume profile levels (vPoC) by identifying trends and sideways ranges. The script detect them and provides signals as soon as it detects a reaction from a volume level. You then complement these signals with your own technical analysis and make a decision to enter a trade. The script was developed solely to facilitate trading and address the issue of convenient visualization. Structure breakout levels are displayed as additional confirmations for making trading decisions. If we form a sideways range below/above such a trading level, it is a strong signal for me.
For sideways ranges, a volume level is calculated (vPoC), which also serves as input information for the signal engine. Signals are generated based on volume levels, with the calculation of stop loss (SL) and take profit (TP) levels. The SL is set at a certain percentage of the range boundaries or the previous high/low, as specified by a parameter. Targets are calculated intelligently based on trend reversal levels and volume levels.
The indicator parameters are individually tailored to each coin. The number of bars to determine the high/low is adjusted, as well as the allowable price deviation for defining the range boundaries on the first level. There are three modes for determining the sideways range, and data sources for highs/lows can be chosen (high/low/candle close, etc.). To make it more convenient for you to work with the indicator, there is an algorithm for automatic parameter adjustment built-in.
Currently script _only_ works for:
* BTC on 1-hour, 4-hour, and 1-day timeframes.
* ETC on 1-hour, 4-hour, and 1-day timeframes.
* Any altcoin on a 1-day timeframe.
The script will be beneficial to both novice traders, helping them understand market structure, sideways ranges, and identifying structure breakouts, as well as experienced traders, facilitating the process of plotting market structure elements on the chart and making trading decisions.
In any case, this script is not an investment idea.
All trading decisions you make based on the script are made independently and at your own risk.
在腳本中搜尋"volume profile"
Supply and Demand Daily [LuxAlgo]The Supply and Demand Daily indicator displays daily supply and demand areas on the user's chart. These areas are constructed using the market data within a previous daily interval.
This script makes use of the same logic as our previous Supply and Demand Visible Range indicator .
🔶 USAGE
The supply/demand areas & levels displayed by the indicator aim to provide potential support/resistance levels for users. Supply areas highlight where buyers are willing to exit the market and sell the asset, thus providing resistance and potentially causing prices to reverse or bounce back downwards, while demand areas highlights where buyers were willing to purchase the asset, thus providing support and potentially causing prices to reverse or bounce back upwards.
Historical areas allow the user to study the evolution of supply/demand from one day to another. Wider areas highlight prices avoiding reverting to this area, while thinner areas highlight prices returning more frequently to them.
Trends can be determined by looking at the price position relative to the previous day's supply/demand areas. Price breaking down from the demand zone is indicative of a downtrend, while price breaking above the supply zone is indicative of an uptrend.
Pullback/throwback scenarios can also be common using this indicator.
🔶 SETTINGS
Threshold %: Percentage of the total visible range volume used as a threshold to set supply/demand areas. Higher values return wider areas.
Resolution: Determines the number of bins used to find each area. Higher values will return more precise results.
Intra-bar TF: Timeframe used to obtain intra-bar data.
🔶 RELATED SCRIPTS
OBVoscillatorTitle: OBV Oscillator
Author: OsborneCapital
The OBV (On Balance Volume) Oscillator developed by OsborneCapital is a distinctive variant from commonly published OBV indicators. This script capitalizes on the primary concept of the OBV, which is to cumulatively add or subtract the entire volume of each bar to a total, based on whether the closing price was higher or lower than the previous close. However, the OBV Oscillator by OsborneCapital improves upon this by introducing an additional layer of analysis.
Key Differences:
Oscillator Formulation:
The original OBV serves as a cumulative measure of buying and selling pressure. It does not naturally oscillate around a zero line. This script transforms OBV into an oscillator, offering a normalized view around a baseline (zero) for a more intuitive interpretation of buying and selling pressure.
Normalized Scaling:
The OBV Oscillator scales the OBV values down by a user-defined factor (default 1000), helping adapt the indicator to the magnitudes of the underlying market's volume profile.
Moving Average Comparison:
This script compares the scaled OBV with a Moving Average (MA) over a user-defined period, enhancing the visibility of divergences and convergences between volume trends and price action.
Usage:
The OBV Oscillator by OsborneCapital provides visual cues about the underlying buying or selling pressure, which is not directly visible from the price chart:
- Above zero line: Suggests the dominance of buying pressure, which may indicate an ongoing bullish sentiment.
- Below zero line: Indicates the dominance of selling pressure, hinting at bearish sentiment.
- Crossing the zero line: A change in the trend's direction, from bullish to bearish or vice versa.
Markets and Conditions:
The OBV Oscillator can be used across various markets, including but not limited to stocks, forex, cryptocurrencies, commodities, and futures. As this script fundamentally builds on volume analysis, it tends to be more effective in markets where volume information is reliable and significant.
It's always recommended to use this tool in conjunction with other indicators and analysis methods, as it mainly provides insights into volume trends and doesn't consider price levels or price-based trends. The indicator can be particularly effective in identifying potential breakouts when there's a divergence between the OBV Oscillator and the price trend.
Please remember, no indicator alone can guarantee success in trading, and a comprehensive approach, including risk management, should always be employed.
Halfback + One-Time-Framing BarsThis indicator is designed to be used with Market Profile / Volume Profile trading techniques on a 30min chart.
The halfback of a candle is the mid point between the high and the low of the candle. A halfback trade can be taken once price retraces into this point as support/resistance using the prevailing trend as your trade direction.
One-Time-Framing is a fancy term for trending in one direction. One-Time-Framing happens when a candle breaks the previous candle's high without testing the low or when a candle breaks the low of the previous candle without testing the high. This indicates that the trend is one directional and opposing pressure is very weak. Taking trades in the opposing direction of multiple OTF bars is typically a bad trade setup.
Halfback and OTF setups are typically used on a 30min timeframe combined with Market or Volume Profile, but you can experiment with these setups on any timeframe if you wish.
I hope you all enjoy this indicator, comment below if you have any questions.
Koalafied Volume Extension BubblesCircles based on extensions from volume Z-Score. Large volume candles can often signal exhaustion or show market strength in reversals or breakouts. Circles can be offset back to the start of the day/profile or left at the time where they occur.
Colours denoting deviations from the mean are
+2 std dev - Green
+1 std dev - Blue
-1 std dev - Red
-2 std dev - Purple
Concept is primarily as a pseudo volume profile delta tool. Obviously it's a very basic heuristic so would recommend further reading and use of actually footprint data to base trading decisions on.
Swing Assassin's Consolidated ScriptI put this script together to essentially consolidate a number of scripts that I use on a daily basis into one script. This is an ongoing improvement effort, so there may be some garbage in here right now so keep that in mind if you intend to use this to help in your trading.
There are 5 moving averages (Hull). I use the Fast, Mid and Slow to find entries after I us the Medium Slow and Super Slow to identify a trend. Otherwise, I have those three turned off.
This script also uses Bollinger Bands which I literally cannot trade without.
The script also has anchored VWAP , automated support/resistance lines, and a homebrewed Volume Profile that is a copy from Ildar Akhmetgaleev's indicator "Poor Man's Volume Profile" used under Mozilla Public License Version 2.0.
PRIME - Krypto Kiss+CCI+VPIntroducing from Prime Academy, the experimental "KryptO Kis$" algorithm, which combines our most powerful scripts all in one indicator. Available to the user are a full options platform to adjust parameters as well as individually blind indications for precise chart analysis. The following algorithms have been utilized:
* Prime Pulse (3 Candle System) - The original impulse and momentum indication system, it take rsi and tsi data to provide users with the indication of initial impulses, as well as a yellow candle to ascertain when there is a possible change of momentum in the current impulse.
* 5 SMA - The original Sniper Cross system seen from previous strategies, using the 4, 21, 50, 185, and 800 SMA's to determine changes of trend, continuation and support levels.
*CCI Indication on Chart - The system provides realtime CCI data in correlation to price positions within the general chart matrix, receiving system variables from various crosses on the 100 to -100 scale for CCI. Bullish and Bearish indications are clearly defined by separate colors.
* Volume Profile with tags - This system provides current volume data for the current time frame and sequence, also giving available tags at prices holding high volume orders, historically and present as indicated by the difference in length of indications. color saturations indicate the intensity of volume at the price in question .
* Shadow ZoneZ - Provides Support and resistance levels using rsi overbought and over sold data, sourced on the close of previous prices. Also embedded in the code is an additional volume confluence via indications of dotted lines with prices available, giving sequence positions of "Whales" and their support and resistance levels by order volume at price.
* An added bonus of the Shadow ZoneZ is the auto trend line and trend channel function , as well as the highlighted zones of liquidity waiting to be filled from previous impulses and lack of present retracements.
Any questions can be directed here on site via Direct Message. Any feedback is welcomed, and thank you in advance. Trade Well, Family!
- Dee Prime
//Disclaimer:
//Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
//The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice.
//You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script.
//In exchange for using the script, you agree not to hold the publishing TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script.
Poor man's volume clustersVolume clusters created from candlestick volumes.
See also "Poor man's volume profile" .
The code is generated using a template. To change the settings, you may need to regenerate the code. The code has a link to the repository with the template.
RVol+ Enhanced Relative Volume Indicator📊 RVol+ Enhanced Relative Volume Indicator
Overview
RVol+ (Relative Volume Plus) is an advanced time-based relative volume indicator designed specifically for swing traders and breakout detection. Unlike simple volume comparisons, RVol+ analyzes volume at the same time of day across multiple sessions, providing statistically significant insights into institutional activity and breakout potential.
🎯 Key Features
Core Volume Analysis
Time-Based RVol Calculation - Compares current cumulative volume to the average volume at this exact time over the past N days
Statistical Z-Score - Measures volume in standard deviations from the mean for true anomaly detection
Volume Percentile - Shows where current volume ranks historically (0-100%)
Sustained Volume Filter - 3-bar moving average prevents false signals from single-bar spikes
Breakout Detection
🚀 Confirmed Breakouts - Identifies price breakouts validated by high volume (RVol > 1.5x)
⚠️ False Breakout Warnings - Alerts when price breaks key levels on low volume (high failure risk)
Multi-Timeframe Context - Weekly volume overlay prevents chasing daily noise
Advanced Metrics
OBV Divergence Detection - Spots bullish/bearish accumulation/distribution patterns
Volume Profile Integration - Identifies institutional positioning
Money Flow Analysis - Tracks smart money vs retail activity
Extreme Volume Alerts - 🔥 Labels mark unusual spikes beyond the display cap
Visual Intelligence
Smart Color Coding:
🟢 Bright Teal = High activity (RVol ≥ 1.5x)
🟡 Medium Teal = Caution zone (RVol ≥ 1.2x)
⚪ Light Teal = Normal activity
🟠 Orange = Breakout confirmed
🔴 Red = False breakout risk
Comprehensive Stats Table:
Current Volume (formatted as M/K/B)
RVol ratio
Z-Score with significance
Volume percentile
Historical average and standard deviation
Sustained volume confirmation
📈 How to Use
For Swing Trading (1D - 3W Holds)
Perfect Setup:
✓ RVol > 1.5x (bright teal)
✓ Z-Score > 2.0 (⚡ alert)
✓ Percentile > 90%
✓ Sustained = ✓
✓ 🚀 Breakout label appears
Avoid:
✗ Red "Low Vol" warning during breakouts
✗ RVol < 1.0 at key levels
✗ Sustained volume not confirmed
Signal Interpretation
⚡ Z>2 Labels - Statistically significant volume (95th+ percentile) - highest probability moves
↗️ OBV+ Labels - Bullish accumulation (OBV rising while price consolidates)
↘️ OBV- Labels - Bearish distribution (OBV falling while price rises)
🔵 Blue Background - Weekly volume elevated (confirms daily strength)
⚙️ Customization
Basic Settings
N Day Average - Number of historical days for comparison (default: 5)
RVol Thresholds - Customize highlight levels (default: 1.2x, 1.5x)
Visual Display Cap - Prevent extreme spikes from compressing view (default: 4.0x)
Advanced Metrics (Toggle On/Off)
Z-Score analysis
Weekly RVol context
OBV divergence detection
Volume percentile ranking
Breakout signal generation
Table Customization
Position - 9 placement options to avoid chart overlap
Size - Tiny to Huge
Colors - Full customization of positive/negative/neutral values
Transparency - Adjustable background
Debug Mode
Enable Pine Logs for calculation transparency
Adjustable log frequency
Real-time calculation breakdown
🔬 Technical Details
Algorithm:
Binary search for historical lookups (O(log n) performance)
Time-zone aware session detection
DST-safe timestamp calculations
Exponentially weighted standard deviation
Anti-repainting architecture
Performance:
Optimized for max_bars_back = 5000
Efficient array management
Built-in function optimization
Memory-conscious data structures
📊 What Makes RVol+ Different?
vs. Standard Volume:
Context-aware (time-of-day matters)
Statistical significance testing
False breakout filtering
vs. Basic RVol:
Z-Score normalization (2-3 sigma detection)
Multi-timeframe confirmation
OBV divergence integration
Sustained volume filtering
Smart visual scaling
vs. Professional Tools:
Free and open-source
Fully customizable
No black-box algorithms
Educational debug logs
💡 Best Practices
Wait for Confirmation - Don't enter on first bar; wait for sustained volume ✓
Combine with Price Action - RVol validates, price structure determines entry
Weekly Context Matters - Blue background = institutional interest
Z-Score is King - Focus on ⚡ alerts for highest probability
Avoid Low Volume Breakouts - Red ⚠️ labels = high failure risk
🎓 Trading Psychology
Volume precedes price. When RVol+ shows:
High RVol + Rising OBV = Accumulation before breakout
High RVol at Resistance = Test of conviction
Low RVol on Breakout = Retail-driven (fade candidate)
Z-Score > 3 = Potential "whale" positioning
📝 Credits
Based on the time-based RVol concept from /u/HurlTeaInTheSea, enhanced with:
Statistical analysis (z-scores, percentiles)
Multi-timeframe integration
OBV divergence detection
Professional-grade visualization
Swing trading optimization
🔧 Version History
v2.0 - Enhanced Edition
Added Z-Score analysis
Multi-timeframe volume context
OBV divergence detection
Breakout confirmation system
Smart color coding
Customizable stats table
Debug logging mode
Performance optimizations
📚 Learn More
For optimal use with swing trading:
Combine with support/resistance levels
Watch for volume clusters in consolidation
Use weekly timeframe for trend confirmation
Monitor OBV divergence for early warnings
⚠️ Disclaimer
This indicator is for educational purposes. Volume analysis is one component of trading decisions. Always use proper risk management, consider multiple timeframes, and validate signals with price structure. Past performance does not guarantee future results.
🚀 Getting Started
Add indicator to chart
Adjust "N Day Average" to your preference (5-10 days typical)
Position stats table to avoid overlap
Enable features you want to monitor
Watch for 🚀 breakout confirmations!
Happy Trading! 📈
Delta Pro -> PROFABIGHI_CAPITAL🌟 Overview
This Delta Pro → PROFABIGHI_CAPITAL implements an advanced delta analysis framework combining price delta calculations with RSI-of-momentum analysis, volume-weighted directional pressure measurement, and cumulative volume delta tracking for comprehensive order flow assessment.
It provides Price Delta calculation with RSI-of-Delta analysis using nine advanced smoothing methodologies for momentum-of-momentum assessment , Volume Delta approximation using volume weighted by price direction for buying/selling pressure identification , Cumulative Volume Delta (CVD) tracking with dynamic histogram visualization for long-term order flow trends , and Dual-mode display system enabling toggle between price delta and RSI-of-delta visualization for professional market microstructure analysis.
🔧 Advanced Delta Pro Architecture Framework
- Professional market microstructure analysis system integrating price momentum with volume-weighted directional analysis and RSI-based momentum assessment
- Grouped Input Organization separating Price Delta Calculation, RSI of Price Delta Settings, Display Options, and Volume Delta Options for streamlined configuration
- Source Configuration Framework enabling close, open, high, low, or composite price inputs for flexible delta calculation adaptation
- Period Management System with adjustable lookback periods for price delta calculation affecting both momentum and volume delta analysis
- Overlay Integration Design optimized as separate pane indicator with volume formatting for dedicated delta analysis focus
- Professional Timeframe Support enabling multi-timeframe delta analysis for different market perspective assessments
📊 Price Delta Implementation Engine
- Period-Based Delta Calculation measuring price difference between current bar and specified periods ago for momentum foundation
- Configurable Source Selection supporting different price inputs for various delta calculation approaches and market analysis
- Null Value Protection ensuring continuous calculation through proper handling of undefined historical values and edge cases
- Dynamic Color Coding using teal for positive price delta and maroon for negative price delta with optimized transparency
- Conditional Display Logic showing price delta only when RSI-of-delta mode is disabled for clean visualization switching
- Zero Line Reference providing conditional zero line display specifically for price delta analysis context
📈 RSI-of-Delta Advanced Framework
- RSI Calculation on Delta Values applying traditional RSI methodology to price delta instead of direct price for momentum-of-momentum analysis
- Dual-Layer Smoothing System providing primary and secondary moving average smoothing with nine advanced smoothing methodologies
- Advanced Moving Average Support including SMA, EMA, WMA, HMA, RMA, LSMA, DEMA, TEMA, and VIDYA for comprehensive signal refinement
- VIDYA Volatility Adaptation implementing Variable Index Dynamic Average with configurable volatility lookback for market condition responsiveness
- Dual-MA Comparison Mode enabling crossover analysis between two independently smoothed RSI-of-delta lines for advanced signal generation
- RSI Level Configuration providing configurable overbought (70) and oversold (30) levels with middle line (50) reference
- Conditional Color System using performance-based coloring with green for bullish crossovers, red for bearish crossovers, and level-based coloring
🔄 Volume Delta Calculation Engine
- Price Direction Analysis using mathematical sign function to determine positive or negative price movement for volume weighting
- Volume Weighting System multiplying volume by price direction sign for approximated buying versus selling pressure measurement
- Sign Variable Management maintaining price direction state for consistent volume delta calculation across bars
- Null Value Handling ensuring continuous volume delta calculation through proper mathematical validation and error prevention
- Histogram Visualization displaying volume delta as bars with green for buying pressure and red for selling pressure indication
- Independent Display Control allowing users to show or hide volume delta independently of other components for focused analysis
📉 Cumulative Volume Delta (CVD) Framework
- Running Sum Calculation maintaining cumulative total of all volume delta values for long-term order flow trend identification
- Dynamic Color System comparing current CVD with previous bar to determine rising or falling cumulative pressure patterns
- Histogram Style Display presenting CVD as histogram bars for immediate visual impact assessment and trend recognition
- Trend Direction Visualization using green for rising CVD and red for falling CVD with transparency optimization for clarity
- Historical Comparison Logic implementing proper previous bar comparison with null value protection for accurate trend determination
- Independent Activation Control enabling selective CVD display for users focusing on specific aspects of order flow analysis
🎨 Comprehensive Display Control System
- Dual-Mode Visualization enabling toggle between Price Delta display and RSI-of-Delta display for different analytical perspectives
- Grouped Settings Organization separating Price Delta Calculation, RSI Settings, Display Options, and Volume Options for intuitive configuration
- Conditional Plotting Logic displaying components only when specifically enabled to optimize chart performance and visual clarity
- Professional Color Scheme using market-standard colors with appropriate transparency levels for clear visual hierarchy and readability
- Context-Sensitive Reference Lines showing relevant zero lines and RSI levels based on current display mode selection
- Raw RSI Background Display optionally showing unsmoothed RSI values when smoothing is applied for comparison analysis
⚙️ Advanced Moving Average Implementation
- Nine Smoothing Methodologies supporting SMA, EMA, WMA, HMA, RMA, LSMA, DEMA, TEMA, and VIDYA for comprehensive signal processing
- VIDYA Implementation using Variable Index Dynamic Average with volatility-based adaptation for market condition responsiveness
- DEMA and TEMA Calculations implementing Double and Triple Exponential Moving Averages for reduced lag and improved signal quality
- Hull Moving Average Support providing fast and smooth HMA calculations for trend-following applications with minimal lag
- Linear Regression Integration using LSMA for trend-based smoothing with mathematical precision and directional bias
- Fallback Logic Framework ensuring continuous operation when smoothing calculations encounter edge cases or insufficient data
- Dual-Layer Smoothing Architecture enabling independent configuration of primary and secondary smoothing for crossover analysis
📋 Professional Configuration Framework
- Price Delta Calculation Group organizing source selection and period configuration with detailed tooltips for user guidance
- RSI of Price Delta Settings providing comprehensive RSI configuration including period, smoothing options, and level settings
- Display Options Group centralizing visualization controls with clear explanations for mode switching and component selection
- Volume Delta Options Group separating volume-related settings for focused volume analysis configuration and control
- Input Validation Framework ensuring minimum period values and proper parameter selection for reliable calculations
- Tooltip Documentation System offering comprehensive explanations for each setting to guide proper indicator utilization
🔍 Mathematical Implementation Excellence
- Accurate Delta Calculations using proper arithmetic operations for price difference measurement over specified periods with precision
- RSI Mathematical Precision applying standard RSI formulation to delta values with proper gain/loss averaging methodology
- Sign Function Implementation correctly applying mathematical sign determination for price direction analysis and volume weighting
- Volume Multiplication Accuracy precisely weighting volume values by price direction for accurate delta approximation calculations
- Cumulative Sum Precision maintaining accurate running totals using Pine Script's cumulative function with proper initialization
- VIDYA Volatility Calculations implementing proper volatility-based adaptation with mathematical accuracy and edge case handling
- Advanced MA Mathematical Framework ensuring accurate DEMA, TEMA, and other complex moving average calculations
🎯 Market Microstructure Applications
- Order Flow Analysis identifying buying versus selling pressure through volume-weighted price direction assessment and trend analysis
- Momentum-of-Momentum Assessment using RSI-of-delta for identifying acceleration and deceleration in price momentum patterns
- Trend Identification Enhancement leveraging CVD trends to identify long-term accumulation or distribution patterns in market structure
- Volume Profile Integration combining volume data with price direction for comprehensive market microstructure analysis capabilities
- Support/Resistance Validation using delta analysis to confirm or challenge traditional technical analysis levels with order flow context
- Divergence Detection Framework comparing price movement with volume delta and RSI-of-delta patterns for reversal identification
⚡ Performance Optimization Features
- Conditional Plotting Logic displaying only enabled components to optimize chart rendering performance and reduce computational load
- Efficient Variable Management using appropriate variable scoping and initialization for minimal memory usage and optimal processing
- Optimized Color Assignment pre-calculating colors and applying transparency efficiently for smooth visual performance rendering
- Streamlined Calculation Sequences organizing mathematical operations for minimal redundant computation and optimal processing speed
- Dynamic Display Updates providing real-time delta values with immediate visual feedback without compromising performance
- Resource-Conscious Mode Switching activating calculations only when components are displayed to maintain indicator efficiency
🎨 Professional Visualization Framework
- Mode-Specific Color Coding using different color schemes for price delta mode versus RSI-of-delta mode for immediate context recognition
- Transparency Optimization applying appropriate transparency levels for clear visual hierarchy without overwhelming chart information
- Multiple Plot Style Integration implementing line plots for delta/RSI analysis and histogram plots for volume analysis
- Conditional Reference Lines displaying relevant zero lines and RSI levels based on current visualization mode selection
- Background Raw Data Display optionally showing unsmoothed RSI values when smoothing is applied for analytical comparison
- Professional Chart Integration maintaining separate pane layout with proper scaling and formatting for dedicated analysis focus
🔧 Technical Implementation Framework
- Variable Declaration Organization properly declaring color variables and state management variables for clean code structure and maintainability
- Function Library Implementation organizing VIDYA, DEMA, TEMA, and calculateMA functions for modular code architecture
- Calculation Sequence Optimization organizing price delta, RSI-of-delta, volume delta, and CVD calculations in logical processing order
- Plot Management System coordinating multiple plot statements with appropriate conditional logic for efficient rendering
- State Variable Management maintaining sign_price_change and other state variables for consistent calculation across bars
- Error Prevention Architecture incorporating null value checks and mathematical validation for reliable operation under all conditions
✅ Key Takeaways
- Advanced delta analysis framework combining price delta momentum with RSI-of-momentum assessment and volume-weighted directional pressure for comprehensive market microstructure evaluation
- Professional RSI-of-delta implementation with nine advanced smoothing methodologies including VIDYA, DEMA, and TEMA for sophisticated momentum analysis
- Comprehensive volume delta system with CVD tracking and dynamic histogram visualization showing cumulative buying/selling pressure trends over time
- Dual-mode display system enabling seamless switching between price delta visualization and RSI-of-delta analysis for different analytical perspectives
- Mathematical precision implementation using proper delta calculations, RSI formulations, and advanced moving average methodologies with performance optimization
- Professional configuration framework with grouped settings, detailed tooltips, and modular display controls for customized microstructure analysis
- Market applications supporting order flow analysis, momentum acceleration detection, trend identification, and divergence recognition for institutional trading approaches
Smart Money Flow TrackerSmart Money Flow Tracker - Liquidity & Fair Value Gap Indicator
Overview
The Smart Money Flow Tracker is a comprehensive Pine Script indicator designed to identify and analyze institutional trading patterns through liquidity prints and Fair Value Gaps (FVGs). This advanced tool combines multiple analytical approaches to help traders understand where smart money is operating in the market, providing crucial insights for better trade timing and market structure analysis.
Core Functionality
1. Liquidity Prints Detection
The indicator identifies liquidity prints by analyzing pivot highs and lows that represent potential areas where institutional orders may be resting. Key features include:
Pivot-Based Analysis: Uses configurable pivot lengths (default 5) to identify significant highs and lows
Volume Confirmation: Optional volume filter ensures liquidity prints occur during periods of significant trading activity
Dynamic Labeling: Visual markers on chart showing liquidity print locations with customizable colors
Success Rate Tracking: Monitors how often liquidity prints lead to meaningful price reactions
2. Fair Value Gap (FVG) Analysis with Volume Integration
Advanced FVG detection that goes beyond basic gap identification:
Three-Bar Pattern Recognition: Identifies gaps where the high of bar 1 is below the low of bar 3 (bullish) or low of bar 1 is above high of bar 3 (bearish)
Volume-Enhanced Detection: Incorporates comprehensive volume analysis including:
Average volume calculation over configurable periods
Total volume across the 3-bar FVG pattern
Dominant volume bar identification
Volume ratio calculations for strength assessment
Volume Threshold Filtering: Optional minimum volume requirements to filter out low-conviction FVGs
Visual Enhancement: FVG boxes with volume-based coloring and detailed volume labels
3. Comprehensive Statistics Dashboard
Real-time statistics table displaying:
Total liquidity prints detected
Success rate percentage with dynamic color coding
Volume filter status
Total Fair Value Gaps identified
High-volume FVG count and percentage
All metrics update in real-time as new data becomes available
4. Advanced Alert System
Multiple alert conditions for different scenarios:
Standard liquidity print detection
Volume-confirmed liquidity prints
Bullish and bearish FVG formation
High-volume FVG alerts for institutional-grade setups
Key Input Parameters
Display Controls
Show Liquidity Prints: Toggle main functionality on/off
Show Statistics Table: Control visibility of the analytics dashboard
Show Fair Value Gaps: Enable/disable FVG detection and display
Technical Settings
Pivot Length: Adjusts sensitivity of liquidity print detection (1-20 range)
Volume Confirmation: Requires above-average volume for liquidity print validation
Volume Lookback: Period for calculating average volume (5-50 bars)
FVG Volume Settings
Show FVG Volume Info: Display detailed volume metrics on FVG labels
FVG Volume Threshold: Minimum volume multiplier for high-volume FVG classification
FVG Volume Average Period: Lookback period for FVG volume calculations
Visual Customization
Bullish/Bearish Colors: Separate color schemes for different market directions
Text Colors: Bright lime green for optimal visibility on all background types
Table Positioning: Flexible placement options for the statistics dashboard
Trading Applications & Use Cases
1. Institutional Order Flow Analysis
Liquidity Hunting: Identify areas where institutions may be targeting retail stops
Smart Money Tracking: Follow institutional footprints through volume-confirmed liquidity prints
Market Structure Understanding: Recognize key levels where large orders are likely resting
2. Fair Value Gap Trading Strategies
Gap Fill Trading: Trade the statistical tendency of FVGs to get filled
Volume-Confirmed Entries: Use high-volume FVGs as higher-probability trade setups
Institutional FVG Recognition: Focus on FVGs with dominant volume bars indicating institutional participation
3. Multi-Timeframe Analysis
Higher Timeframe Context: Use on daily/weekly charts to identify major institutional levels
Intraday Precision: Apply to lower timeframes for precise entry and exit timing
Cross-Timeframe Confirmation: Combine signals across multiple timeframes for enhanced accuracy
4. Risk Management Applications
Stop Loss Placement: Use liquidity print levels as logical stop loss areas
Position Sizing: Adjust position sizes based on volume confirmation and success rates
Trade Filtering: Use statistics dashboard to assess current market conditions
Technical Logic & Methodology
Liquidity Print Algorithm
Pivot Identification: Scans for pivot highs/lows using the specified lookback period
Volume Validation: Optionally confirms prints occur during above-average volume periods
Success Tracking: Monitors subsequent price action to calculate effectiveness rates
Dynamic Updates: Continuously updates statistics as new data becomes available
FVG Detection Process
Pattern Recognition: Identifies 3-bar patterns with qualifying gaps
Volume Analysis: Calculates comprehensive volume metrics across the pattern
Strength Assessment: Determines volume ratios and dominant bars
Classification: Categorizes FVGs based on volume thresholds and characteristics
Visual Representation: Creates boxes and labels with volume-based styling
Statistical Framework
Real-time Calculations: All metrics update with each new bar
Percentage-based Metrics: Success rates and volume confirmations shown as percentages
Color-coded Feedback: Visual indicators for quick assessment of current conditions
Historical Tracking: Maintains running totals throughout the session
Best Practices for Usage
1. Parameter Optimization
Start with default settings and adjust based on market conditions
Lower pivot lengths for more sensitive detection on volatile instruments
Higher volume thresholds for cleaner signals in high-volume markets
2. Market Context Consideration
Combine with broader market structure analysis
Consider economic events and news that may affect institutional flow
Adjust expectations based on market volatility and liquidity conditions
3. Integration with Other Analysis
Use alongside support/resistance levels for confluence
Combine with momentum indicators for timing confirmation
Integrate with volume profile analysis for additional context
Conclusion
The Smart Money Flow Tracker represents a sophisticated approach to institutional flow analysis, combining traditional liquidity concepts with modern volume analytics. By providing both visual signals and comprehensive statistics, it enables traders to make more informed decisions based on where smart money is likely operating in the market. The indicator's flexibility and customization options make it suitable for various trading styles and timeframes, from scalping to position trading.
ICT Institutional Order Flow (Riz)This indicator implements Inner Circle Trader (ICT) institutional order flow concepts to identify high-probability entry points where smart money is actively participating in the market. It combines volume analysis, market structure, and price action patterns to detect institutional accumulation and distribution zones.
Core Concepts & Methodology
1. Institutional Order Blocks Detection
Order blocks represent the last opposing candle before a strong directional move, indicating institutional accumulation (bullish) or distribution (bearish) zones.
How it works:
⦁ Identifies the final bearish candle before bullish expansion (accumulation)
⦁ Identifies the final bullish candle before bearish expansion (distribution)
⦁ Validates with volume spike (2x average) to confirm institutional participation
⦁ Requires minimum 0.5% price displacement to filter weak moves
⦁ Tracks these zones as future support/resistance levels
2. Fair Value Gap (FVG) Analysis
FVGs are price inefficiencies created by aggressive institutional orders that leave gaps in price action.
Detection method:
⦁ Bullish FVG: When current low > high from 2 bars ago
⦁ Bearish FVG: When current high < low from 2 bars ago
⦁ Minimum gap size filter (0.1% default) eliminates noise
⦁ Monitors gap fills with volume for entry signals
⦁ Gaps act as magnets drawing price back for "rebalancing"
3. Liquidity Hunt Detection
Institutions often trigger retail stop losses before reversing direction, creating liquidity for their positions.
Algorithm:
⦁ Calculates rolling 20-period highs/lows as liquidity pools
⦁ Detects wicks beyond these levels (0.1% sensitivity)
⦁ Identifies rejection back inside range (liquidity grab)
⦁ Volume spike confirmation ensures institutional involvement
⦁ These reversals often mark significant turning points
4. Volume Profile Integration
Analyzes volume distribution across price levels to identify institutional interest zones.
Components:
⦁ Point of Control (POC): Price level with highest volume (institutional consensus)
⦁ Value Area: 70% of volume range (institutional comfort zone)
⦁ Uses 50-bar lookback to build volume histogram
⦁ 20 price levels for granular distribution analysis
5. Market Structure Analysis
Determines overall trend bias using pivot points and swing analysis.
Process:
⦁ Identifies swing highs/lows using 3-bar pivots
⦁ Bullish structure: Price above last swing high
⦁ Bearish structure: Price below last swing high
⦁ Filters signals to trade with institutional direction
Signal Generation Logic
BUY signals trigger when ANY condition is met:
1. Order Block Formation: Bearish-to-bullish transition + volume spike + strong move
2. Liquidity Grab Reversal: Sweep below lows + recovery + volume spike
3. FVG Fill: Price fills bullish gap with institutional volume (within 3 bars)
4. Order Block Respect: Price bounces from previous bullish OB + volume
SELL signals trigger when ANY condition is met:
1. Order Block Formation: Bullish-to-bearish transition + volume spike + strong move
2. Liquidity Grab Reversal: Sweep above highs + rejection + volume spike
3. FVG Fill: Price fills bearish gap with institutional volume (within 3 bars)
4. Order Block Respect: Price rejects from previous bearish OB + volume
Additional filters:
⦁ Signals align with market structure (no counter-trend trades)
⦁ No new signals while position is active
⦁ All signals require volume confirmation (institutional fingerprint)
Trading Style Auto-Configuration
The indicator features intelligent preset configurations for different trading styles:
Scalping Mode (1-5 min charts):
⦁ Volume multiplier: 1.5x (more signals)
⦁ Tighter parameters for quick trades
⦁ Risk:Reward 1.5:1, ATR multiplier 1.0
Day Trading Mode (15-30 min charts):
⦁ Volume multiplier: 1.7x (balanced)
⦁ Medium sensitivity settings
⦁ Risk:Reward 2:1, ATR multiplier 1.5
Swing Trading Mode (1H-4H charts):
⦁ Volume multiplier: 2.0x (quality focus)
⦁ Conservative parameters
⦁ Risk:Reward 3:1, ATR multiplier 2.0
Custom Mode:
⦁ Full manual control of all parameters
Visual Components
⦁ Order Blocks: Colored rectangles (green=bullish, red=bearish)
⦁ Fair Value Gaps: Orange boxes showing imbalances
⦁ Liquidity Levels: Dashed blue lines at key highs/lows
⦁ Volume Spikes: Yellow background highlighting
⦁ POC Line: Orange line showing highest volume price
⦁ Value Area: Blue shaded zone of 70% volume
⦁ Buy/Sell Signals: Triangle markers with text labels
⦁ Stop Loss/Take Profit: Dotted lines (red/green)
Information Panel
Real-time dashboard displaying:
⦁ Current trading mode
⦁ Volume ratio (current vs average)
⦁ Market structure (bullish/bearish)
⦁ Active order blocks count
⦁ Position status
⦁ Configuration details
How to Use
Step 1: Select Trading Style
Choose your style in settings - all parameters auto-adjust
Step 2: Timeframe Selection
⦁ Scalping: 1-5 minute charts
⦁ Day Trading: 15-30 minute charts
⦁ Swing: 1H-4H charts
Step 3: Signal Interpretation
⦁ Wait for BUY/SELL markers
⦁ Check volume ratio >2 for strong signals
⦁ Verify market structure alignment
⦁ Note automatic SL/TP levels
Step 4: Risk Management
⦁ Default 2:1 risk:reward (adjustable)
⦁ Stop loss: 1.5x ATR from entry
⦁ Position sizing based on stop distance
Best Practices
1. Higher probability setups occur when multiple conditions align
2. Volume confirmation is crucial - avoid signals without volume spikes
3. Trade with structure - longs in bullish, shorts in bearish structure
4. Monitor POC - acts as dynamic support/resistance
5. Confluence zones where OBs, FVGs, and liquidity levels overlap are strongest
Important Notes
⦁ Not a standalone system - combine with your analysis
⦁ Works best in trending markets with clear structure
⦁ Adjust settings based on instrument volatility
⦁ Backtest thoroughly on your specific markets
⦁ Past performance doesn't guarantee future results
Alerts Available
⦁ ICT Buy Signal
⦁ ICT Sell Signal
⦁ Volume Spike Detection
⦁ Liquidity Grab Detection
This indicator provides a systematic approach to ICT concepts, helping traders identify where institutions are entering positions through volume analysis and key price action patterns. The auto-configuration feature ensures optimal settings for your trading style without manual adjustment.
Disclaimer
This tool is for educational and research purposes only. It is not financial advice, nor does it guarantee profitability. All trading involves risk, and users should test thoroughly before applying live.
Delta -> PROFABIGHI_CAPITAL🌟 Overview
This Delta → PROFABIGHI_CAPITAL implements a comprehensive market delta analysis framework combining price delta calculations with volume-weighted delta analysis and cumulative volume delta tracking for advanced order flow assessment.
It provides Price Delta calculation measuring price movement over configurable periods for momentum analysis , Volume Delta approximation using volume weighted by price direction for buying/selling pressure identification , Cumulative Volume Delta (CVD) tracking with dynamic histogram visualization for long-term order flow trends , and Comprehensive display controls with debug options for flexible market microstructure analysis for professional order flow trading applications.
🔧 Advanced Delta Analysis Architecture
- Professional market microstructure analysis system integrating price movement with volume-weighted directional analysis
- Price Source Configuration enabling close, open, high, low, or composite price inputs for flexible delta calculation adaptation
- Delta Period Management with adjustable lookback periods for price delta calculation affecting both price and volume delta analysis
- Overlay Integration designed as separate pane indicator for dedicated delta analysis without interfering with price action
- Volume Format Display using volume-specific formatting for accurate large number representation
- Professional Timeframe Support enabling multi-timeframe delta analysis for different market perspectives
📊 Price Delta Implementation Framework
- Period-Based Price Calculation measuring price difference between current bar and specified periods ago for momentum assessment
- Configurable Source Selection supporting different price inputs for various delta calculation approaches
- Null Value Protection ensuring continuous calculation through proper handling of undefined historical values
- Visual Color Coding using teal for positive price delta and maroon for negative price delta with transparency
- Line Style Visualization displaying price delta as continuous line for trend identification
- Optional Display Control allowing users to show or hide price delta for focused analysis
📈 Volume Delta Calculation Engine
- Price Direction Analysis using mathematical sign function to determine positive or negative price movement
- Volume Weighting System multiplying volume by price direction sign for approximated buying/selling pressure
- Sign Variable Management maintaining price direction state for consistent volume delta calculation
- Null Value Handling ensuring continuous volume delta calculation through proper mathematical validation
- Histogram Visualization displaying volume delta as bars with green for buying pressure and red for selling pressure
- Dynamic Transparency using optimized transparency levels for clear visual distinction between positive and negative values
📉 Cumulative Volume Delta (CVD) Framework
- Running Sum Calculation maintaining cumulative total of all volume delta values for long-term trend analysis
- Dynamic Color System comparing current CVD with previous bar to determine rising or falling cumulative pressure
- Histogram Style Display presenting CVD as histogram bars for immediate visual impact assessment
- Trend Direction Visualization using green for rising CVD and red for falling CVD with transparency optimization
- Historical Comparison Logic implementing proper previous bar comparison with null value protection for first bar handling
- Cumulative State Tracking maintaining accurate running totals across all historical bars for reliable trend identification
🎨 Comprehensive Display Control System
- Modular Visibility Controls enabling independent show/hide options for price delta, volume delta, and CVD components
- Grouped Settings Organization separating calculation settings, display options, and debug features for streamlined configuration
- Tooltip Integration providing detailed explanations for each setting to guide proper indicator usage
- Professional Color Scheme using market-standard colors with appropriate transparency levels for clear visual hierarchy
- Null Line Reference displaying zero line with dashed gray styling for immediate positive/negative reference
- Optional Debug Visualization offering raw data plots for troubleshooting and analysis validation
⚙️ Advanced Debug System
- Raw Price Change Display showing unprocessed price movement for calculation verification
- Sign Function Visualization displaying mathematical sign output as histogram for direction confirmation
- Volume Data Verification presenting raw volume values as columns for data integrity checking
- Independent Debug Controls enabling selective activation of different debug components without affecting main plots
- Color-Coded Debug Plots using distinct colors (orange, purple, black) for easy identification of debug elements
- Performance Optimization displaying debug plots only when specifically enabled to maintain indicator performance
📋 Professional Configuration Framework
- Calculation Settings Group organizing core delta parameters including source selection and period configuration
- Display Options Group centralizing visibility controls for main indicator components with detailed tooltips
- Simple Plots Group providing debug options for advanced users and troubleshooting scenarios
- Input Validation ensuring minimum period values and proper source selection for reliable calculations
- Tooltip Documentation offering comprehensive explanations for each setting to guide proper indicator utilization
- Professional Naming Convention using clear, descriptive names for all settings and components
🔍 Mathematical Implementation Excellence
- Accurate Delta Calculations using proper arithmetic operations for price difference measurement over specified periods
- Sign Function Implementation correctly applying mathematical sign determination for price direction analysis
- Volume Multiplication Accuracy precisely weighting volume values by price direction for delta approximation
- Cumulative Sum Precision maintaining accurate running totals using Pine Script's cumulative function
- Null Value Management implementing comprehensive null value handling for reliable calculations across all scenarios
- Historical Data Access properly accessing previous bar data with appropriate indexing for comparison logic
🎯 Market Microstructure Applications
- Order Flow Analysis identifying buying versus selling pressure through volume-weighted price direction assessment
- Momentum Confirmation using price delta to validate price movement strength over configurable periods
- Trend Identification leveraging CVD trends to identify long-term accumulation or distribution patterns
- Volume Profile Integration combining volume data with price direction for comprehensive market structure analysis
- Support/Resistance Validation using delta analysis to confirm or challenge traditional technical analysis levels
- Divergence Detection comparing price movement with volume delta patterns for potential reversal identification
⚡ Performance Optimization Features
- Conditional Plotting Logic displaying only enabled components to optimize chart rendering performance
- Efficient Variable Management using appropriate variable scoping and initialization for minimal memory usage
- Optimized Color Assignment pre-calculating colors and applying transparency for smooth visual performance
- Streamlined Calculations organizing mathematical operations for minimal redundant computation
- Dynamic Display Updates providing real-time delta values with immediate visual feedback
- Resource-Conscious Debug Mode activating debug plots only when specifically requested to maintain indicator efficiency
🎨 Professional Visualization Framework
- Color-Coded Delta Analysis using green/red scheme for immediate positive/negative identification
- Transparency Optimization applying appropriate transparency levels for clear visual hierarchy without overwhelming chart
- Multiple Plot Styles implementing line plots for price delta, histogram for volume delta, and histogram for CVD
- Zero Line Reference providing dashed gray zero line for immediate positive/negative context
- Dynamic CVD Coloring comparing current versus previous CVD values for trend direction visualization
- Professional Chart Integration maintaining separate pane layout for dedicated delta analysis focus
🔧 Technical Implementation Framework
- Variable Declaration Organization properly declaring color variables and state management variables for clean code structure
- Calculation Sequence Optimization organizing price delta, volume delta, and CVD calculations in logical order
- Plot Management System coordinating multiple plot statements with appropriate conditional logic
- State Variable Management maintaining sign_price_change variable for consistent volume delta calculation
- Error Prevention Architecture incorporating null value checks and mathematical validation for reliable operation
- Modular Code Structure separating calculation, plotting, and debug sections for maintainable code organization
✅ Key Takeaways
- Advanced delta analysis framework combining price delta momentum with volume-weighted directional pressure for comprehensive order flow assessment
- Professional CVD implementation with dynamic histogram visualization showing cumulative buying/selling pressure trends over time
- Comprehensive display control system enabling selective visualization of price delta, volume delta, and CVD components with debug options
- Mathematical precision implementation using proper sign function analysis and cumulative sum calculations with null value protection
- Professional configuration framework with grouped settings, detailed tooltips, and modular visibility controls for customized analysis
- Performance-optimized visualization using conditional plotting and efficient color management for smooth real-time delta tracking
- Market microstructure applications supporting order flow analysis, momentum confirmation, and trend identification for institutional trading approaches
Liquidity Void Detector (Zeiierman)█ Overview
Liquidity Void Detector (Zeiierman) is an oscillator highlighting inefficient price displacements under low participation. It measures the most recent price move (standardized return) and amplifies it only when volume is below its own trend.
Positive readings ⇒ strong up-move on low volume → potential Buy-Side Imbalance (void below) that often refills.
Negative readings ⇒ strong down-move on low volume → potential Sell-Side Imbalance (void above) that often refills.
This tool provides a quantitative “void” proxy: when price travels far with unusually thin volume, the move is flagged as likely inefficient and prone to mean-reversion/mitigation.
█ How It Works
⚪ Volume Shock (Participation Filter)
Each bar, volume is compared to a rolling baseline. This is then z-scored.
// Volume Shock calculation
volTrend = ta.sma(volume, L)
vs = (volume > 0 and volTrend > 0) ? math.log(volume) - math.log(volTrend) : na
vsZ = zScore(vs, vzLen) // z-scored volume shock
lowVS = (vsZ <= vzThr) // low-volume condition
Bars with VolShock Z ≤ threshold are treated as low-volume (thin).
⚪ Prior Return Extremeness
The 1-bar log return is computed and z-scored.
// Prior return extremeness
r1 = math.log(close / close )
retZ = zScore(r1, rLen) // z-scored prior return
This shows whether the latest move is unusually large relative to recent history.
⚪ Void Oscillator
The oscillator is:
// Oscillator construction
weight = lowVS ? 1.0 : fadeNoLow
osc = retZ * weight
where Weight = 1 when volume is low, otherwise fades toward a user-set factor (0–1).
Osc > 0: up-move emphasized under low volume ⇒ Buy-Side Imbalance.
Osc < 0: down-move emphasized under low volume ⇒ Sell-Side Imbalance.
█ Why Use It
⚪ Targets Inefficient Moves
By filtering for low participation, the oscillator focuses on moves most likely driven by thin books/noise trading, which are statistically more likely to retrace.
⚪ Simple, Robust Logic
No need for tick data or order-book depth. It derives a practical void proxy from OHLCV, making it portable across assets and timeframes.
⚪ Complements Price-Action Tools
Use alongside FVG/imbalance zones, key levels, and volume profile to prioritize voids that carry the highest reversal probability.
█ How to Use
Sell-Side Imbalance = aggressive sell move (price goes down on low volume) → expect price to move up to fill it.
Buy-Side Imbalance = aggressive buy move (price goes up on low volume) → expect price to move down to fill it.
█ Settings
Volume Baseline Length — Bars for the volume trend used in VolShock. Larger = smoother baseline, fewer low-volume flags.
Vol Shock Z-Score Lookback — Bars to standardize VolShock; larger = smoother, fewer extremes.
Low-Volume Threshold (VolShock Z ≤) — Defines “thin participation.” Typical: −0.5 to −1.0.
Return Z-Score Lookback — Bars to standardize the 1-bar log return; larger = smoother “extremeness” measure.
Fade When Volume Not Low (0–1) — Weight applied when volume is not low. 0.00 = ignore non-low-volume bars entirely. 1.00 = treat volume condition as irrelevant (pure return extremeness).
Upper Threshold (Osc ≥) — Trigger for Sell-Side Imbalance (void below).
Lower Threshold (Osc ≤) — Trigger for Buy-Side Imbalance (void above).
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Trading Sessions (L3J) Trading Sessions Indicator (L3J)
Overview
This Pine Script indicator displays precise trading session boxes for the three major global trading sessions: Asia, London, and US (Cash). Unlike traditional session indicators that show continuous background colors, this script creates rectangular boxes that precisely delimit each session from start to finish.
Features
🌍 Global Timezone Support
- 39 timezone options covering all major financial centers
- Automatic daylight saving time adjustments for named timezones
- Universal compatibility with all TradingView charts
📦 Session Boxes
- Precise delimitation: Each session is contained within a rectangular box
- Dynamic sizing: Boxes automatically adjust to session high/low prices
- Visual distinction: Completed sessions (solid borders) vs ongoing sessions (dashed borders)
- Customizable borders: Toggle on/off with adjustable thickness (0-5px)
🎨 Visual Customization
- Individual session colors: Fully customizable for Asia, London, and US sessions
- Border matching: Border colors automatically match session box colors
- Transparency control: Built-in opacity settings for each session
- Clean interface: Minimal visual clutter with maximum information
⚙️ Management Options
- Box limit control: Set maximum number of historical boxes per session (1-50)
- Automatic cleanup: Old boxes are automatically removed to maintain performance
- Memory efficient: Optimized for long-term chart analysis
Default Session Times (EDT - Etc/GMT+4)
| Session | Default Hours | Markets Covered |
|---------|---------------|-----------------|
| Asia | 18:00 - 02:00 | Tokyo, Sydney, Hong Kong |
| London | 02:00 - 11:00 | London, Frankfurt, European markets |
| US Cash | 09:30 - 16:00 | NYSE, NASDAQ |
> Note: Default times are in EDT (Eastern Daylight Time). Adjust session hours according to your selected timezone.
Timezone Conversion Examples
For UTC Users:
- Asia: 22:00 - 06:00
- London: 06:00 - 15:00
- US: 13:30 - 20:00
For Europe/London Users:
- Asia: 23:00 - 07:00
- London: 07:00 - 16:00
- US: 14:30 - 21:00
Usage Instructions
1. Add to chart: Apply the indicator to any timeframe
2. Select timezone: Choose your local timezone from the dropdown
3. Adjust session hours: Modify session times if needed for your timezone
4. Customize appearance: Set colors, borders, and box limits
5. Enable/disable sessions: Toggle individual sessions on/off as needed
Technical Specifications
- Pine Script Version: v6
- Chart Type: Overlay indicator
- Maximum Objects: 150 boxes, 500 lines, 200 labels
- Performance: Optimized for real-time updates
- Compatibility: All TradingView chart types and timeframes
Integration with Other Scripts
This indicator is designed to work seamlessly with other L3J trading scripts:
- ICT Levels Indicators: Provides session context for key levels
- Market Structure Scripts: Session boxes help identify structural breaks
- Volume Profile Tools: Session delimitation for volume analysis
- Support/Resistance Scripts: Session-based level identification
> Recommended: Use this as a base layer with other L3J indicators for comprehensive market analysis.
Key Benefits
🎯 Precision Trading
- Exact session boundaries: No guesswork about session start/end times
- Clean visual reference: Clear session delimitation for strategy execution
- Multi-timeframe compatibility: Works on all chart timeframes
📊 Professional Analysis
- Institution-grade accuracy: Matches professional trading platforms
- Customizable for any strategy: Adaptable to various trading approaches
- Performance optimized: Minimal impact on chart loading times
🔄 Real-time Updates
- Live session tracking: Ongoing sessions update in real-time
- Automatic management: Old sessions are cleaned up automatically
- Memory efficient: Optimized for extended trading sessions
Author Information
Created by: L3J
Version: 1.0
Category: Session Analysis / Market Hours
License: For use with L3J trading script ecosystem
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Support & Integration
This indicator is part of the L3J Trading Script Collection. For optimal results, combine with other L3J indicators:
- ICT Key Levels
- Market Structure Analysis
- Volume Profile Tools
- Support/Resistance Scripts
Note: This script is specifically designed to complement and enhance other L3J trading tools. Individual use is supported, but maximum effectiveness is achieved when used as part of the complete L3J trading system.
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For technical support or integration questions, refer to the L3J script documentation or community resources.
DeltaTrace ForecastDeltaTrace Forecast is a forward-looking projection tool that visualizes the probable directional path of price using a multi-timeframe momentum model rooted in volatility-adjusted nonlinear dynamics. Rather than relying on traditional indicators that react to price after the fact, DeltaTrace estimates future price motion by tracing the progression of momentum changes across expanding timeframes—then scaling those deltas using adaptive volatility to forecast a plausible path forward.
At its core, DeltaTrace constructs a momentum vector from a series of smoothed z-scores derived from increasing multiples of the current chart's timeframe. These z-scores are normalized using a hyperbolic tangent function (tanh), which compresses extreme values and emphasizes meaningful deviations without being overly sensitive to outliers. This nonlinear normalization ensures that explosive moves are weighted with less distortion, while still preserving the shape and direction of the underlying trend.
Once the z-scores are calculated for a range of 12 timeframes (from 1× the current timeframe up to 12×), the indicator computes the first difference between each adjacent pair. These differences—or deltas—represent the change in momentum from one timeframe to the next. In this structure, a strong positive delta implies momentum is strengthening as we look into higher timeframes, while a negative delta reflects waning or reversing strength.
However, not all deltas are treated equally. To make the projection adaptive to market volatility and temporally meaningful, each delta is scaled by the square root of its corresponding timeframe multiple, weighted by the ATR (Average True Range) of the base timeframe. This square-root volatility scaling mirrors the behavior of Brownian motion and reflects the natural geometric diffusion of price over time. By applying this scaling, the model tempers its forecast according to recent volatility while maintaining proportional distance over longer time horizons.
The result is a chain of projected price steps—11 in total—starting from the current closing price. These steps are cumulative, meaning each one builds upon the previous, forming a continuously adjusted polyline that represents the most recent forecast path of price. Each point in the forecast line is directional: if the next projected point is above the last, the segment is colored green (upward momentum); if below, it is colored red (downward momentum). This color coding gives immediate visual feedback on the nature of the projected path and allows for intuitive at-a-glance interpretation.
What makes DeltaTrace unique is its combination of ideas from signal processing, time-series momentum analysis, and volatility theory. Instead of relying on static support/resistance levels or lagging moving averages, it dynamically adapts to both momentum curvature and volatility structure. This allows it to be used not just for trend confirmation, but also for top-down bias fading, reversal anticipation, and path-following strategies.
Traders can use DeltaTrace in a variety of ways depending on their style:
For trend traders, a consistent upward or downward curve in the forecast suggests directional continuation and can be used for position sizing or confirmation of bias.
For mean-reversion traders, exaggerated divergence between the current price and the first few forecast points may indicate temporary exhaustion or overextension.
For scalpers or intraday traders, the short-term bend or flattening of the initial segments can reveal early signs of weakening momentum or build-up before breakout.
For swing traders, the full shape of the polyline gives an evolving map of market rhythm across time compression, allowing for context-aware decision-making.
It’s important to understand that this is a path projection tool, not a precise price target predictor. The forecast does not attempt to predict exact price levels at exact bars, but rather illustrates how the market might evolve if the current multi-timeframe momentum structure persists. Like all models, it should be interpreted probabilistically and used in conjunction with other confirmation signals, risk management tools, or strategy frameworks.
Inputs allow customization of the z-score calculation length and ATR window to tune the sensitivity of the model. The color scheme for up/down forecast segments can also be adjusted for personal preference. Additionally, users can toggle the polyline forecast on or off, which may be useful for pairing this indicator with others in a crowded chart layout.
Because the forecast path is calculated only on the last bar, it does not repaint or shift once the candle closes—preserving historical accuracy for visual inspection and backtesting reference. However, it is also sensitive to changes in volatility and momentum structure, meaning it updates each bar as conditions evolve, making it most effective in real-time decision support.
DeltaTrace Forecast is particularly well-suited for traders who want a deeper understanding of hidden momentum shifts across timeframes without relying on traditional trend-following tools. It reveals the shape of future possibility based on present dynamics, offering a compact yet powerful visualization of directional bias, transition risk, and path strength.
To maximize its utility, consider pairing DeltaTrace with volume profiles, order flow tools, higher timeframe zones, or market structure indicators. Used in context, it becomes a powerful companion to both systematic and discretionary trading styles—especially for those who appreciate a blend of mathematics and intuition in their market analysis.
This indicator is not based on magic or black-box logic; every component—from the z-score standardization to the volatility-adjusted deltas—is fully transparent and grounded in simple, interpretable mechanics. If you're looking for a reliable way to visualize multi-timeframe bias and momentum diffusion, DeltaTrace provides a unique lens through which to interpret future potential in an ever-shifting market landscape.
Delta Canlde POC @MaxMaserati🎯 Delta Candle POC @MaxMaserati
Indicator Guide and Purpose
This indicator provides professional volume profile analysis at the individual candle level, revealing the internal structure of price action and volume distribution that standard charts cannot show. It transforms each candle into a detailed volume map, showing exactly where trading activity concentrated and whether buyers or sellers were in control.
What It Shows
🔹 Volume Imprint Bars
5 horizontal volume bars within each qualifying candle
Width = Volume intensity at that price level
Color = Market pressure (Green = Bullish delta, Red = Bearish delta)
Position = Key price levels (Open, Close, Body Mid, High/Low rejections)
🔹 Delta Labels
Net buying/selling pressure for each candle (e.g., "+2.3K" or "-1.8K")
Positioned above/below candles based on pressure direction
Synchronized with volume bars - appear together, disappear together
🔹 Point of Control (POC)
Horizontal line marking the price level with highest volume
Dynamic thickness based on volume intensity
Extends forward to show ongoing significance
Color-coded by market pressure
How to Interpret
Volume Distribution Patterns
Thick bars at body levels = High conviction trading
Thick bars at wicks = Rejection/support zones
Concentrated volume = Strong agreement on price
Scattered volume = Uncertainty or ranging
Delta Analysis
Large positive delta = Strong buying pressure
Large negative delta = Strong selling pressure
Small delta with high volume = Balanced but active trading
Large delta with low volume = Weak conviction
POC Significance
POC at candle high = Resistance being tested
POC at candle low = Support being tested
POC in body = Fair value area
Thick POC lines = High conviction levels
Analysis Settings
Volume Sensitivity - Controls how much detail to show
Minimum Volume Threshold - Filters out low-activity candles
High Volume Candles Only - Shows only above-average volume periods
Customization
Imprint Width % - Adjust bar width for visibility
Volume Bar Transparency - Control opacity
Color settings - Customize all visual elements
Smart Features
🔄Synchronized Management
Automatic cleanup - Maintains exactly 35 candles worth of data
Perfect synchronization - Labels and volume bars always appear/disappear together
No orphaned elements - Prevents display issues
🧠 Advanced Calculations
Smart order flow - Uses price action, wicks, and body analysis
Real tick data - Enhanced accuracy on 1-tick charts
5-level distribution - Optimized for Pine Script limits
Timeframe Selection
Lower timeframes (1m, 5m) - Detailed intraday analysis
Higher timeframes (1H, 4H) - Broader market structure
Volume Threshold:
Start with default 100 - Adjust based on instrument liquidity
Higher thresholds - Focus on major moves only
Lower thresholds - See more activity detail
What Makes It Unique
Unlike traditional volume indicators that show aggregate data, this reveals the internal architecture of each price move, answering:
Where exactly did the volume occur within each candle?
What was the buying vs selling pressure at each level?
Which price levels attracted the most activity?
How committed were traders to specific price areas?
This granular insight helps you understand market microstructure and see the story behind every candle's formation.
Backtest it and make sure it fits your needs before using it.
Manual VAH/VAL LevelsManual VAH/VAL Levels is a utility indicator that lets traders manually display the Value Area High (VAH) and Value Area Low (VAL) from the prior trading day, based on a Fixed Range Volume Profile tool.
This script is designed to:
Draw horizontal lines at the manually input VAH and VAL levels
Label each line with the corresponding price, aligned clearly to the right of the chart
Display levels only during the regular trading session for focused market context
Maintain a clean chart appearance with transparent label backgrounds
💡 How to Use:
Apply TradingView's Fixed Range Volume Profile tool to the prior day's session
Manually enter the VAH and VAL values into the script settings
The script will draw and label these levels dynamically during the NY market session
This tool is ideal for:
Traders using volume-based key levels for intraday decision-making
Contextualizing price action near areas of prior day value
Confluence analysis when paired with opening range, CVD, or breakout systems
Smart Money Concepts + Fibonacci + EMA - AI Enhanced Analysis### █ OVERVIEW
This indicator is not just another "all-in-one" tool; it's a **specialized data visualization layer designed for the new era of AI-driven chart analysis**. The primary purpose of the **"NarmoonAI"** indicator is to structure and display key market information in a clean, consistent, and machine-readable format.
Standard charts can be noisy and ambiguous for AI Vision models (like Google's Gemini or OpenAI's GPT-4). This script solves that problem by consolidating the most crucial technical analysis concepts—Smart Money Concepts, Trend Analysis, and Key Levels—into a clear visual language that an AI can easily interpret from a single screenshot.
This approach allows traders to leverage the power of artificial intelligence for faster, more objective, and deeper market analysis. It's designed to work seamlessly with our custom AI assistant, the **NarmoonAI Telegram Bot**, but can be used with any modern AI vision tool.
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### █ CORE COMPONENTS & LOGIC
This indicator is a "mashup" with a clear purpose: to create a comprehensive yet clean analytical framework. Here is how each component contributes to the overall goal of AI-enhanced analysis:
**1. Smart Money Concepts (Supply & Demand Zones):**
* **How it works:** The script automatically identifies significant market turning points by detecting swing highs and lows using `ta.pivothigh` and `ta.pivotlow` over a user-defined `Swing Length`. These pivots form the basis of our Supply (resistance) and Demand (support) zones.
* **The "Smart" Edge:** To filter out weaker zones, the indicator analyzes the volume profile. Zones that are formed during periods of high volume (defined as >1.5x the 20-period simple moving average of volume) are highlighted in a stronger, more vibrant color. This signals areas of high institutional interest, a key concept in Smart Money analysis.
**2. Multi-Layered Trend Analysis (Exponential Moving Averages - EMAs):**
* **How it works:** We've included a customizable suite of four essential EMAs (20, 50, 100, and 200). These are not just random lines; they provide an instant visual reference for short, medium, and long-term trend direction and dynamic support/resistance.
* **Why it's useful for AI:** An AI can instantly parse the order and slope of these EMAs. For example, it can identify a strong uptrend when the price is above the 20 EMA, which is above the 50 EMA, and so on.
**3. Automatic Fibonacci Retracement:**
* **How it works:** Manually drawing Fibonacci levels is subjective and time-consuming. This script automates the process by identifying the highest high and lowest low over a `Fibonacci Lookback Period` (defaulting to 100 bars) and automatically plots the key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786).
* **Why it's useful for AI:** It provides objective, universally recognized potential support and resistance levels without any manual drawing, ensuring a clean and consistent chart for analysis.
**4. Dynamic Trend Channels:**
* **How it works:** The indicator automatically draws trend channels by connecting the two most recent significant pivot highs (for a downtrend channel) or pivot lows (for an uptrend channel).
* **The "Dynamic" Edge:** The width of the channel is not fixed. It's dynamically calculated using the Average True Range (ATR), allowing the channel to expand and contract based on the market's current volatility. This provides a much more adaptive and realistic view of the trend's boundaries.
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### █ HOW TO USE THIS INDICATOR
There are two primary ways to use the NarmoonAI indicator:
**A) For AI-Powered Analysis (Recommended):**
1. Apply the **NarmoonAI** indicator to any chart.
2. Take a clean screenshot of your chart.
3. Upload the image to your preferred AI Vision model (e.g., Gemini, ChatGPT) or, for the best results, use our specialized **NarmoonAI Telegram bot**.
4. Ask the AI for a detailed analysis. **Example Prompts:**
* *"Based on this chart, what is the current market structure? Identify key support and resistance levels."*
* *"Is there a potential long setup forming according to the information from the NarmoonAI indicator?"*
* *"Summarize the trend direction and strength using the EMAs and trend channels shown."*
**B) For Manual Trading:**
Traders can use the confluence of signals for high-probability setups:
* **High-Probability Long:** Look for the price to enter a **Strong Demand Zone** that aligns with a key **Fibonacci level** (e.g., 0.618) and is respected by a major **EMA** (e.g., the 50 or 100 EMA).
* **High-Probability Short:** Look for the price to test a **Strong Supply Zone** near the top of a **descending trend channel**, with EMAs confirming the bearish momentum.
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*This script was created by NarmoonAI to bridge the gap between traditional technical analysis and the powerful capabilities of modern artificial intelligence. We believe this is the future of trading analysis.*
Sri_Momentum Burst Histogram📝 Description :
🌀 Sri_Momentum Burst Histogram — A Custom Momentum and Volatility Fusion Tool
The Sri_Momentum Burst Histogram is a unique technical analysis tool designed to visualize sudden changes in price momentum in the form of a dynamic, color-coded histogram. This indicator helps traders identify trend accelerations, early momentum shifts, and potential exhaustion in real time.
By combining a MACD-like momentum engine with a volatility-sensitive Bollinger Band range, this script offers an enhanced view of market bursts — moments where momentum "pops" beyond typical ranges. The result is a refined perspective on market sentiment, helping traders to anticipate reversals, follow breakouts, and assess the relative strength of ongoing trends.
🧠 Core Methodology
The indicator calculates the difference between a fast and slow EMA (Exponential Moving Average), similar to a MACD histogram.
This difference is then compared across candles to gauge the rate of change in momentum — referred to here as a “momentum burst.”
A sensitivity multiplier allows you to scale the response based on your preferred timeframe and trading style.
A volatility band, derived from Bollinger Band logic, is used to frame the relative intensity of the momentum change.
The histogram is divided into two parts:
Green/Lime Bars represent increasing and decreasing bullish momentum.
Red/Orange Bars represent increasing and decreasing bearish momentum.
⚙️ Customizable Inputs
Momentum Sensitivity: Adjust the responsiveness of the burst detection mechanism.
Short EMA Period: Sets the lookback period for the fast EMA.
Long EMA Period: Sets the lookback period for the slow EMA.
Volatility Band Length: Controls the length used for Bollinger Band calculations.
Band Std Dev Multiplier: Adjusts how wide the volatility range should be, based on price dispersion.
📈 How to Use It
Use the green/red histogram bars to visually gauge momentum strength and direction.
Watch for transitions in color intensity (e.g., green to lime, red to orange) as early warning signs of trend exhaustion or reversal.
Combine with other indicators like RSI, MACD, ADX, or volume profiles to confirm entry/exit points.
Useful in both trending and ranging markets, especially on lower timeframes for scalping or intraday setups.
✅ Key Features
Easy-to-read histogram with intuitive color coding.
Fully customizable settings for fine-tuned signal control.
Can be used on any asset class — stocks, forex, crypto, commodities.
Optimized for real-time use with minimal lag.
🔐 This script is an original creation, developed independently by adapting publicly known mathematical concepts into a unique visualization tool. All function and variable names have been customized for originality and compliance with TradingView’s publishing and community standards.
💡 Developed by: @venkat_27
🧩 For educational purposes only — not financial advice.
[blackcat] L3 Market Pulse InsightOVERVIEW
The L3 Market Pulse Insight provides comprehensive analytics by evaluating key price metrics to reveal critical market sentiment and potential trade opportunities 📊🔍. This advanced indicator leverages proprietary calculations involving Simple Moving Averages (SMAs), Exponential Moving Averages (EMAs), and custom thresholds to deliver detailed insights into current market dynamics 🚀✨.
By plotting various lines representing core fundamentals and directional cues, traders gain visibility into underlying trends and shifts within the market pulse. The visual aids simplify complex data interpretation, making it easier for users to make strategic decisions based on clear, actionable information ✅⛈️.
FEATURES
Advanced Calculation Techniques:
Employs sophisticated formulas integrating SMAs and EMAs for precise trend analysis.
Incorporates fundamental lines and confirmations based on recent price extremes.
Comprehensive Visualization:
Plots multiple informational lines: Fundamental Line, Thresholds, Institutional Directions, etc., each reflecting unique aspects of price behavior.
Uses distinct colors for easy differentiation between bearish and bullish indications.
Customizable Alerts:
Generates "Buy" and "Sell" labels at pivotal moments, highlighting entry/exit points visually.
Offers flexibility to modify alert styles and positions according to user preferences.
Dynamic Adaptability:
Continuously updates plots and alerts based on incoming real-time data for timely responses.
Provides dynamic support/resistance levels adapting to evolving market conditions.
HOW TO USE
Installing the Indicator:
To start using the L3 Market Pulse Insight, add it via the Pine Editor on TradingView:
Open the editor from the bottom panel.
Copy-paste the provided script code.
Click “Add to Chart” after pasting.
Understanding Key Lines:
Familiarize yourself with what each plotted line signifies:
Fundamental Line: Represents core price movements adjusted through SMA transformations.
Low Confirmation & Warnings: Provide early signals about potential reversals or continuation scenarios.
Threshold B: Acts as a significant barrier indicating overbought/sold conditions.
Institutional Directions: Offer insights into larger player activities and intentions.
Interpreting Signals:
Pay close attention to generated "Buy" and "Sell" labels appearing directly on your chart:
"Buy" Label: Indicates favorable momentum crossing from below the confirmation level upwards.
"Sell" Label: Suggests bearish transitions when moving beneath set thresholds.
Adjusting Parameters:
While this version primarily uses default settings derived from optimal testing ranges, feel free to experiment:
Modify lookback periods in SMA/EMA functions if different timeframes align better with your strategy.
Customize plot colors/styles for enhanced readability and personal taste.
Integrating with Other Tools:
Enhance the reliability of signals produced by combining them with complementary indicators like RSI, MACD, or volume profiles for thorough validation.
Continuous Monitoring:
Regularly review performance and refine strategies incorporating insights gathered from L3 Market Pulse Insight across varying markets and assets.
LIMITATIONS
Data Dependency: Performance heavily relies on accurate historical data without anomalies.
Market Conditions Variability: Effectiveness may vary during extreme volatility or thin liquidity environments.
Parameter Fine-Tuning: Optimal configuration might differ significantly across instruments; continuous adjustments are necessary.
No Guarantees: Like any tool, this doesn't ensure profits and should be part of a broader analytical framework.
NOTES
Ensure solid grounding in technical analysis principles before deploying solely upon these insights.
Utilize backtesting rigorously under diverse market cycles to assess robustness thoroughly.
Consider external factors such as economic reports, geopolitical events influencing asset prices beyond purely statistical models.
Maintain discipline adhering predefined risk management protocols regardless of signal strength displayed here.
THANKS
We appreciate every member's contributions who have engaged actively throughout our development journey, offering constructive feedback driving improvements continually 🙏. Together we strive toward creating ever-more robust tools empowering traders worldwide!
[blackcat] L3 Dark Horse OscillatorOVERVIEW
The L3 Dark Horse Oscillator is a sophisticated technical indicator meticulously crafted to offer traders deep insights into market momentum. By leveraging advanced calculations involving Relative Strength Value (RSV) and proprietary oscillatory techniques, this script provides clear and actionable signals for identifying potential buying and selling opportunities. Its distinctive feature—a vibrant gradient color scheme—enhances readability and makes it easier to visualize trends and reversals on the chart 📈↗️.
FEATURES
Advanced Calculation Methods: Utilizes complex algorithms to compute the Relative Strength Value (RSV) over specific periods, providing a nuanced view of price movements.
Default Period: 27 bars for initial RSV calculation.
Additional Period: 36 bars for extended RSV analysis.
Dual-Oscillator Components:
Component A: Derived using multiple layers of Simple Moving Averages (SMAs) applied to the RSV, offering a smoothed representation of short-term momentum.
Component B: Employs a unique averaging method tailored to capture medium-term trends effectively.
Dynamic Gradient Color Scheme: Enhances visualization through a spectrum of colors that change dynamically based on the calculated values, making trend identification intuitive and engaging 🌈.
Customizable Horizontal Reference Lines: Key levels are marked at 0, 10, 50, and 90 to serve as benchmarks for assessing the oscillator's readings, helping traders make informed decisions quickly.
Comprehensive Visual Representation: Combines the strengths of both components into a single, gradient-colored candlestick plot, providing a holistic view of market sentiment and momentum shifts 📊.
HOW TO USE
Adding the Indicator: Start by adding the L3 Dark Horse Oscillator to your TradingView chart via the indicators menu. This will overlay the necessary plots directly onto your price chart.
Interpreting the Components: Familiarize yourself with the two primary components represented by yellow and fuchsia lines. These lines indicate the underlying momentum derived from the RSV calculations.
Monitoring Momentum Shifts: Pay close attention to the gradient-colored candlesticks, which reflect the combined strength of both components. Notice how these candles transition through various shades, signaling changes in market dynamics.
Utilizing Reference Levels: Leverage the horizontal lines at 0, 10, 50, and 90 as critical thresholds. For instance, values above 50 might suggest bullish conditions, while those below could hint at bearish tendencies.
Combining with Other Tools: To enhance reliability, integrate this indicator with complementary technical analyses such as moving averages, volume profiles, or other oscillators like RSI or MACD.
LIMITATIONS
Market Volatility: In extremely volatile or sideways-trending markets, the indicator might produce false signals due to erratic price movements. Always cross-reference with broader market contexts.
Testing Required: Before deploying the indicator in real-time trading, conduct thorough backtesting across diverse assets and timeframes to understand its performance characteristics fully.
Asset-Specific Performance: The efficacy of the L3 Dark Horse Oscillator can differ significantly across various financial instruments and market conditions. Tailor your strategies accordingly.
NOTES
Historical Data: Ensure ample historical data availability to facilitate precise calculations and avoid inaccuracies stemming from insufficient data points.
Parameter Adjustments: Experiment with adjusting the default periods (27 and 36 bars) if you find them unsuitable for your specific trading style or market conditions.
Visual Customization: Modify the appearance settings, including line styles and gradient colors, to better suit personal preferences without compromising functionality.
Risk Management: While the indicator offers valuable insights, always adhere to robust risk management practices to safeguard against unexpected market fluctuations.
EXAMPLE STRATEGIES
Trend Following: Use the oscillator to confirm existing trends. When Component A crosses above Component B, consider entering long positions; conversely, look for short entries during downward crossovers.
Mean Reversion: Identify extreme readings near the upper (90) or lower (10) bands where prices might revert to mean levels, presenting potential reversal opportunities.
Divergence Analysis: Compare the oscillator's behavior with price action to spot divergences, which often precede trend reversals. Bullish divergence occurs when prices make lower lows but the oscillator shows higher lows, suggesting upward momentum.
Volume Flow RatioVolume Flow Ratio (VFR) Indicator
Overview
The Volume Flow Ratio (VFR) is a sophisticated volume analysis tool that measures current trading volume relative to the maximum volume of the previous period. Unlike traditional volume indicators that show raw volume or simple moving averages, VFR provides context by comparing current activity to recent maximum activity levels.
Core Features
1. Split Period Analysis
- Multiple Timeframe Options:
- Daily: Compares to previous day's maximum
- Weekly: Week-to-week comparison
- NYSE Weekly: Specialized for stock market trading (Monday-Friday only)
- Monthly: Month-to-month analysis
- Quarterly: Quarter-to-quarter perspective
- Yearly: Year-over-year volume comparison
2. Ratio-Based Measurement
- Displays volume as a ratio (0 to 1+) rather than raw numbers
- 1.0 represents volume equal to previous period's maximum
- Example: If previous max was 50,000 contracts:
- Current volume of 25,000 shows as 0.5
- Current volume of 75,000 shows as 1.5
3. Triple Coloring Modes
- Moving Average Based:
- Compares current ratio to its moving average
- Customizable MA period
- Green: Above MA (higher than average activity)
- Red: Below MA (lower than average activity)
- Previous Candle Comparison:
- Simple increase/decrease from previous bar
- Green: Higher than previous bar
- Red: Lower than previous bar
- Candle Color Based:
- Syncs with price action
- Green: Bullish candles (close > open)
- Red: Bearish candles (close < open)
Primary Use Cases
1. Volume Profile Analysis
- Perfect for traders who need to understand when markets are most active
- Helps identify unusual volume spikes relative to recent history
- Useful for timing entries and exits based on market participation
2. Market Activity Traders
Ideal for traders who:
- Need to identify high-liquidity periods
- Want to avoid low-volume periods
- Look for volume breakouts or divergences
- Trade based on institutional participation levels
3. Mean Reversion Traders
Helps identify:
- Overextended volume conditions (potential reversals)
- Volume exhaustion points
- Return to normal volume levels after spikes
4. Momentum Traders
Useful for:
- Confirming trend strength through volume
- Identifying potential trend exhaustion
- Validating breakouts with volume confirmation
Advantages Over Traditional Volume Indicators
1. Contextual Analysis
- Shows relative strength rather than raw numbers
- Easier to compare across different time periods
- Automatically adjusts to changing market conditions
2. Period-Specific Insights
- Respects natural market cycles (daily, weekly, monthly)
- Special handling for NYSE trading days
- Eliminates weekend noise in stock market analysis
3. Flexible Visualization
- Three distinct coloring methods for different trading styles
- Clear reference line at 1.0 for quick analysis
- Histogram style for easy pattern recognition
Best Practices
For Day Traders
- Use Daily split for intraday volume patterns
- MA coloring mode with shorter periods (5-10)
- Focus on ratios during market hours
For Swing Traders
- Weekly or NYSE Weekly splits
- Longer MA periods (15-20)
- Look for sustained volume patterns
For Position Traders
- Monthly or Quarterly splits
- Candle color mode for trend confirmation
- Focus on major volume shifts
Limitations
- Requires one full period to establish baseline
- May be less effective in extremely low volume conditions
- NYSE Weekly mode specific to stock market hours
This indicator is particularly valuable for traders who understand that volume is a crucial component of price action but need a more sophisticated way to analyze it than simple volume bars. It's especially useful for those who trade based on market participation levels and need to quickly identify whether current volume is significant relative to recent history.
