SMC Structures and Multi-Timeframe FVG PYSMC Structures and Multi-Timeframe FVG Indicator
Tip: For optimal performance, adjust the number of FVGs displayed per timeframe in the settings. On high-performance devices, up to 8 FVGs per timeframe can be used without issues. If you experience slowdowns, reduce to 3 or 4 FVGs per timeframe. If the chart flashes, disable indicators one by one to identify conflicts, or try using the TradingView Mobile or Windows App for a smoother experience.
Overview
This Pine Script indicator enhances market analysis by integrating Smart Money Concepts (SMC) with Fair Value Gaps (FVG) across multiple timeframes. It identifies trend continuations (Break of Structure, BOS) and trend reversals (Change of Character, CHoCH) while highlighting liquidity zones through FVG detection. The indicator includes eight customizable Moving Average (MA) curve templates, disabled by default, to complement SMC and FVG analysis. Its originality lies in combining multi-timeframe FVG detection with SMC structure analysis, providing traders with a cohesive tool to visualize price action patterns and liquidity zones efficiently.
Features and Functionality
1. Fair Value Gaps (FVG)
The indicator detects and displays bullish, bearish, and mitigated FVGs, representing liquidity zones where price inefficiencies occur. These gaps are dynamically updated based on price action:
Bullish FVG: Displayed in green when unmitigated, indicating potential upward liquidity zones.
Bearish FVG: Displayed in red when unmitigated, signaling potential downward liquidity zones.
Mitigated FVG: Shown in gray once the gap is partially filled by price action.
Fully Mitigated FVG: Automatically removed from the chart when the gap is fully filled, reducing visual clutter.
Users can customize the number of historical FVGs displayed via the settings, allowing focus on recent liquidity zones for targeted analysis.
2. SMC Structures
The indicator identifies key SMC price action patterns:
Break of Structure (BOS): Marked with gray lines, indicating trend continuation when price breaks a significant high or low.
Change of Character (CHoCH): Highlighted with yellow lines, signaling potential trend reversals when price fails to maintain the current structure.
High/Low Values: Blue lines denote the highest high and lowest low of the current structure, providing reference points for market context.
3. Multi-Timeframe FVG Analysis
A standout feature is the ability to analyze FVGs across multiple timeframes simultaneously. This allows traders to align higher-timeframe liquidity zones with lower-timeframe entries, improving trade precision. The indicator fetches FVG data from user-selected timeframes, displaying them cohesively on the chart.
4. Moving Average (MA) Templates
The indicator includes eight customizable MA curve templates in the Settings > Template section, disabled by default. These templates allow users to overlay MAs (e.g., SMA, EMA, WMA) to complement SMC and FVG analysis. Each template is pre-configured with different periods and types, enabling quick adaptation to various trading strategies, such as trend confirmation or dynamic support/resistance.
How It Works
The script processes price action to detect FVGs by analyzing three-candle patterns where a gap forms between the high/low of the first and third candles. Multi-timeframe data is retrieved using Pine Script’s request.security() function, ensuring accurate FVG plotting across user-defined timeframes. BOS and CHoCH are identified by tracking swing highs and lows, with logic to differentiate trend continuation from reversals. The MA templates are computed using standard Pine Script TA functions, with user inputs controlling visibility and parameters.
How to Use
Add to Chart: Apply the indicator to any TradingView chart.
Configure Settings:
FVG Settings: Adjust the number of historical FVGs to display (default: 10). Enable/disable specific FVG types (bullish, bearish, mitigated).
Timeframe Selection: Choose up to three timeframes for FVG analysis (e.g., 1H, 4H, 1D) to align with your trading strategy.
Structure Settings: Toggle BOS (gray lines) and CHoCH (yellow lines) visibility. Adjust sensitivity for structure detection if needed.
MA Templates: Enable MA curves via the Template section. Select from eight pre-configured MA types and periods to suit your analysis.
Interpret Signals:
Use green/red FVGs for potential entry points targeting liquidity zones.
Monitor gray lines (BOS) for trend continuation and yellow lines (CHoCH) for reversal signals.
Align multi-timeframe FVGs with BOS/CHoCH for high-probability setups.
Optionally, use MA curves for trend confirmation or dynamic levels.
Clean Chart Usage: The indicator is designed to work standalone. Ensure no conflicting scripts are applied unless explicitly needed for your strategy.
Why This Indicator Is Unique
Unlike standalone FVG or SMC indicators, this script combines both concepts with multi-timeframe analysis, offering a comprehensive view of market structure and liquidity. The addition of customizable MA templates enhances flexibility, while the dynamic removal of mitigated FVGs keeps the chart clean. This mashup is purposeful, as it integrates complementary tools to streamline decision-making for traders using SMC strategies.
Credits
This indicator builds on foundational SMC and FVG concepts from the TradingView community. Some open-source code was reused, and do performance enhancement as you guys can read the code. This type of indicators has inspiration was drawn from public domain SMC methodologies. All code is partly original with manual work on performance optimization in Pine Script.
Notes
Ensure your chart is clean (no unnecessary drawings or indicators) to maximize clarity.
The indicator is open-source, and traders are encouraged to review the code for deeper understanding.
For optimal use, test the indicator on a demo account to familiarize yourself with its signals.
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Keltner Channel Enhanced [DCAUT]█ Keltner Channel Enhanced
📊 ORIGINALITY & INNOVATION
The Keltner Channel Enhanced represents an important advancement over standard Keltner Channel implementations by introducing dual flexibility in moving average selection for both the middle band and ATR calculation. While traditional Keltner Channels typically use EMA for the middle band and RMA (Wilder's smoothing) for ATR, this enhanced version provides access to 25+ moving average algorithms for both components, enabling traders to fine-tune the indicator's behavior to match specific market characteristics and trading approaches.
Key Advancements:
Dual MA Algorithm Flexibility: Independent selection of moving average types for middle band (25+ options) and ATR smoothing (25+ options), allowing optimization of both trend identification and volatility measurement separately
Enhanced Trend Sensitivity: Ability to use faster algorithms (HMA, T3) for middle band while maintaining stable volatility measurement with traditional ATR smoothing, or vice versa for different trading strategies
Adaptive Volatility Measurement: Choice of ATR smoothing algorithm affects channel responsiveness to volatility changes, from highly reactive (SMA, EMA) to smoothly adaptive (RMA, TEMA)
Comprehensive Alert System: Five distinct alert conditions covering breakouts, trend changes, and volatility expansion, enabling automated monitoring without constant chart observation
Multi-Timeframe Compatibility: Works effectively across all timeframes from intraday scalping to long-term position trading, with independent optimization of trend and volatility components
This implementation addresses key limitations of standard Keltner Channels: fixed EMA/RMA combination may not suit all market conditions or trading styles. By decoupling the trend component from volatility measurement and allowing independent algorithm selection, traders can create highly customized configurations for specific instruments and market phases.
📐 MATHEMATICAL FOUNDATION
Keltner Channel Enhanced uses a three-component calculation system that combines a flexible moving average middle band with ATR-based (Average True Range) upper and lower channels, creating volatility-adjusted trend-following bands.
Core Calculation Process:
1. Middle Band (Basis) Calculation:
The basis line is calculated using the selected moving average algorithm applied to the price source over the specified period:
basis = ma(source, length, maType)
Supported algorithms include EMA (standard choice, trend-biased), SMA (balanced and symmetric), HMA (reduced lag), WMA, VWMA, TEMA, T3, KAMA, and 17+ others.
2. Average True Range (ATR) Calculation:
ATR measures market volatility by calculating the average of true ranges over the specified period:
trueRange = max(high - low, abs(high - close ), abs(low - close ))
atrValue = ma(trueRange, atrLength, atrMaType)
ATR smoothing algorithm significantly affects channel behavior, with options including RMA (standard, very smooth), SMA (moderate smoothness), EMA (fast adaptation), TEMA (smooth yet responsive), and others.
3. Channel Calculation:
Upper and lower channels are positioned at specified multiples of ATR from the basis:
upperChannel = basis + (multiplier × atrValue)
lowerChannel = basis - (multiplier × atrValue)
Standard multiplier is 2.0, providing channels that dynamically adjust width based on market volatility.
Keltner Channel vs. Bollinger Bands - Key Differences:
While both indicators create volatility-based channels, they use fundamentally different volatility measures:
Keltner Channel (ATR-based):
Uses Average True Range to measure actual price movement volatility
Incorporates gaps and limit moves through true range calculation
More stable in trending markets, less prone to extreme compression
Better reflects intraday volatility and trading range
Typically fewer band touches, making touches more significant
More suitable for trend-following strategies
Bollinger Bands (Standard Deviation-based):
Uses statistical standard deviation to measure price dispersion
Based on closing prices only, doesn't account for intraday range
Can compress significantly during consolidation (squeeze patterns)
More touches in ranging markets
Better suited for mean-reversion strategies
Provides statistical probability framework (95% within 2 standard deviations)
Algorithm Combination Effects:
The interaction between middle band MA type and ATR MA type creates different indicator characteristics:
Trend-Focused Configuration (Fast MA + Slow ATR): Middle band uses HMA/EMA/T3, ATR uses RMA/TEMA, quick trend changes with stable channel width, suitable for trend-following
Volatility-Focused Configuration (Slow MA + Fast ATR): Middle band uses SMA/WMA, ATR uses EMA/SMA, stable trend with dynamic channel width, suitable for volatility trading
Balanced Configuration (Standard EMA/RMA): Classic Keltner Channel behavior, time-tested combination, suitable for general-purpose trend following
Adaptive Configuration (KAMA + KAMA): Self-adjusting indicator responding to efficiency ratio, suitable for markets with varying trend strength and volatility regimes
📊 COMPREHENSIVE SIGNAL ANALYSIS
Keltner Channel Enhanced provides multiple signal categories optimized for trend-following and breakout strategies.
Channel Position Signals:
Upper Channel Interaction:
Price Touching Upper Channel: Strong bullish momentum, price moving more than typical volatility range suggests, potential continuation signal in established uptrends
Price Breaking Above Upper Channel: Exceptional strength, price exceeding normal volatility expectations, consider adding to long positions or tightening trailing stops
Price Riding Upper Channel: Sustained strong uptrend, characteristic of powerful bull moves, stay with trend and avoid premature profit-taking
Price Rejection at Upper Channel: Momentum exhaustion signal, consider profit-taking on longs or waiting for pullback to middle band for reentry
Lower Channel Interaction:
Price Touching Lower Channel: Strong bearish momentum, price moving more than typical volatility range suggests, potential continuation signal in established downtrends
Price Breaking Below Lower Channel: Exceptional weakness, price exceeding normal volatility expectations, consider adding to short positions or protecting against further downside
Price Riding Lower Channel: Sustained strong downtrend, characteristic of powerful bear moves, stay with trend and avoid premature covering
Price Rejection at Lower Channel: Momentum exhaustion signal, consider covering shorts or waiting for bounce to middle band for reentry
Middle Band (Basis) Signals:
Trend Direction Confirmation:
Price Above Basis: Bullish trend bias, middle band acts as dynamic support in uptrends, consider long positions or holding existing longs
Price Below Basis: Bearish trend bias, middle band acts as dynamic resistance in downtrends, consider short positions or avoiding longs
Price Crossing Above Basis: Potential trend change from bearish to bullish, early signal to establish long positions
Price Crossing Below Basis: Potential trend change from bullish to bearish, early signal to establish short positions or exit longs
Pullback Trading Strategy:
Uptrend Pullback: Price pulls back from upper channel to middle band, finds support, and resumes upward, ideal long entry point
Downtrend Bounce: Price bounces from lower channel to middle band, meets resistance, and resumes downward, ideal short entry point
Basis Test: Strong trends often show price respecting the middle band as support/resistance on pullbacks
Failed Test: Price breaking through middle band against trend direction signals potential reversal
Volatility-Based Signals:
Narrow Channels (Low Volatility):
Consolidation Phase: Channels contract during periods of reduced volatility and directionless price action
Breakout Preparation: Narrow channels often precede significant directional moves as volatility cycles
Trading Approach: Reduce position sizes, wait for breakout confirmation, avoid range-bound strategies within channels
Breakout Direction: Monitor for price breaking decisively outside channel range with expanding width
Wide Channels (High Volatility):
Trending Phase: Channels expand during strong directional moves and increased volatility
Momentum Confirmation: Wide channels confirm genuine trend with substantial volatility backing
Trading Approach: Trend-following strategies excel, wider stops necessary, mean-reversion strategies risky
Exhaustion Signs: Extreme channel width (historical highs) may signal approaching consolidation or reversal
Advanced Pattern Recognition:
Channel Walking Pattern:
Upper Channel Walk: Price consistently touches or exceeds upper channel while staying above basis, very strong uptrend signal, hold longs aggressively
Lower Channel Walk: Price consistently touches or exceeds lower channel while staying below basis, very strong downtrend signal, hold shorts aggressively
Basis Support/Resistance: During channel walks, price typically uses middle band as support/resistance on minor pullbacks
Pattern Break: Price crossing basis during channel walk signals potential trend exhaustion
Squeeze and Release Pattern:
Squeeze Phase: Channels narrow significantly, price consolidates near middle band, volatility contracts
Direction Clues: Watch for price positioning relative to basis during squeeze (above = bullish bias, below = bearish bias)
Release Trigger: Price breaking outside narrow channel range with expanding width confirms breakout
Follow-Through: Measure squeeze height and project from breakout point for initial profit targets
Channel Expansion Pattern:
Breakout Confirmation: Rapid channel widening confirms volatility increase and genuine trend establishment
Entry Timing: Enter positions early in expansion phase before trend becomes overextended
Risk Management: Use channel width to size stops appropriately, wider channels require wider stops
Basis Bounce Pattern:
Clean Bounce: Price touches middle band and immediately reverses, confirms trend strength and entry opportunity
Multiple Bounces: Repeated basis bounces indicate strong, sustainable trend
Bounce Failure: Price penetrating basis signals weakening trend and potential reversal
Divergence Analysis:
Price/Channel Divergence: Price makes new high/low while staying within channel (not reaching outer band), suggests momentum weakening
Width/Price Divergence: Price breaks to new extremes but channel width contracts, suggests move lacks conviction
Reversal Signal: Divergences often precede trend reversals or significant consolidation periods
Multi-Timeframe Analysis:
Keltner Channels work particularly well in multi-timeframe trend-following approaches:
Three-Timeframe Alignment:
Higher Timeframe (Weekly/Daily): Identify major trend direction, note price position relative to basis and channels
Intermediate Timeframe (Daily/4H): Identify pullback opportunities within higher timeframe trend
Lower Timeframe (4H/1H): Time precise entries when price touches middle band or lower channel (in uptrends) with rejection
Optimal Entry Conditions:
Best Long Entries: Higher timeframe in uptrend (price above basis), intermediate timeframe pulls back to basis, lower timeframe shows rejection at middle band or lower channel
Best Short Entries: Higher timeframe in downtrend (price below basis), intermediate timeframe bounces to basis, lower timeframe shows rejection at middle band or upper channel
Risk Management: Use higher timeframe channel width to set position sizing, stops below/above higher timeframe channels
🎯 STRATEGIC APPLICATIONS
Keltner Channel Enhanced excels in trend-following and breakout strategies across different market conditions.
Trend Following Strategy:
Setup Requirements:
Identify established trend with price consistently on one side of basis line
Wait for pullback to middle band (basis) or brief penetration through it
Confirm trend resumption with price rejection at basis and move back toward outer channel
Enter in trend direction with stop beyond basis line
Entry Rules:
Uptrend Entry:
Price pulls back from upper channel to middle band, shows support at basis (bullish candlestick, momentum divergence)
Enter long on rejection/bounce from basis with stop 1-2 ATR below basis
Aggressive: Enter on first touch; Conservative: Wait for confirmation candle
Downtrend Entry:
Price bounces from lower channel to middle band, shows resistance at basis (bearish candlestick, momentum divergence)
Enter short on rejection/reversal from basis with stop 1-2 ATR above basis
Aggressive: Enter on first touch; Conservative: Wait for confirmation candle
Trend Management:
Trailing Stop: Use basis line as dynamic trailing stop, exit if price closes beyond basis against position
Profit Taking: Take partial profits at opposite channel, move stops to basis
Position Additions: Add to winners on subsequent basis bounces if trend intact
Breakout Strategy:
Setup Requirements:
Identify consolidation period with contracting channel width
Monitor price action near middle band with reduced volatility
Wait for decisive breakout beyond channel range with expanding width
Enter in breakout direction after confirmation
Breakout Confirmation:
Price breaks clearly outside channel (upper for longs, lower for shorts), channel width begins expanding from contracted state
Volume increases significantly on breakout (if using volume analysis)
Price sustains outside channel for multiple bars without immediate reversal
Entry Approaches:
Aggressive: Enter on initial break with stop at opposite channel or basis, use smaller position size
Conservative: Wait for pullback to broken channel level, enter on rejection and resumption, tighter stop
Volatility-Based Position Sizing:
Adjust position sizing based on channel width (ATR-based volatility):
Wide Channels (High ATR): Reduce position size as stops must be wider, calculate position size using ATR-based risk calculation: Risk / (Stop Distance in ATR × ATR Value)
Narrow Channels (Low ATR): Increase position size as stops can be tighter, be cautious of impending volatility expansion
ATR-Based Risk Management: Use ATR-based risk calculations, position size = 0.01 × Capital / (2 × ATR), use multiples of ATR (1-2 ATR) for adaptive stops
Algorithm Selection Guidelines:
Different market conditions benefit from different algorithm combinations:
Strong Trending Markets: Middle band use EMA or HMA, ATR use RMA, capture trends quickly while maintaining stable channel width
Choppy/Ranging Markets: Middle band use SMA or WMA, ATR use SMA or WMA, avoid false trend signals while identifying genuine reversals
Volatile Markets: Middle band and ATR both use KAMA or FRAMA, self-adjusting to changing market conditions reduces manual optimization
Breakout Trading: Middle band use SMA, ATR use EMA or SMA, stable trend with dynamic channels highlights volatility expansion early
Scalping/Day Trading: Middle band use HMA or T3, ATR use EMA or TEMA, both components respond quickly
Position Trading: Middle band use EMA/TEMA/T3, ATR use RMA or TEMA, filter out noise for long-term trend-following
📋 DETAILED PARAMETER CONFIGURATION
Understanding and optimizing parameters is essential for adapting Keltner Channel Enhanced to specific trading approaches.
Source Parameter:
Close (Most Common): Uses closing price, reflects daily settlement, best for end-of-day analysis and position trading, standard choice
HL2 (Median Price): Smooths out closing bias, better represents full daily range in volatile markets, good for swing trading
HLC3 (Typical Price): Gives more weight to close while including full range, popular for intraday applications, slightly more responsive than HL2
OHLC4 (Average Price): Most comprehensive price representation, smoothest option, good for gap-prone markets or highly volatile instruments
Length Parameter:
Controls the lookback period for middle band (basis) calculation:
Short Periods (10-15): Very responsive to price changes, suitable for day trading and scalping, higher false signal rate
Standard Period (20 - Default): Represents approximately one month of trading, good balance between responsiveness and stability, suitable for swing and position trading
Medium Periods (30-50): Smoother trend identification, fewer false signals, better for position trading and longer holding periods
Long Periods (50+): Very smooth, identifies major trends only, minimal false signals but significant lag, suitable for long-term investment
Optimization by Timeframe: 1-15 minute charts use 10-20 period, 30-60 minute charts use 20-30 period, 4-hour to daily charts use 20-40 period, weekly charts use 20-30 weeks.
ATR Length Parameter:
Controls the lookback period for Average True Range calculation, affecting channel width:
Short ATR Periods (5-10): Very responsive to recent volatility changes, standard is 10 (Keltner's original specification), may be too reactive in whipsaw conditions
Standard ATR Period (10 - Default): Chester Keltner's original specification, good balance between responsiveness and stability, most widely used
Medium ATR Periods (14-20): Smoother channel width, ATR 14 aligns with Wilder's original ATR specification, good for position trading
Long ATR Periods (20+): Very smooth channel width, suitable for long-term trend-following
Length vs. ATR Length Relationship: Equal values (20/20) provide balanced responsiveness, longer ATR (20/14) gives more stable channel width, shorter ATR (20/10) is standard configuration, much shorter ATR (20/5) creates very dynamic channels.
Multiplier Parameter:
Controls channel width by setting ATR multiples:
Lower Values (1.0-1.5): Tighter channels with frequent price touches, more trading signals, higher false signal rate, better for range-bound and mean-reversion strategies
Standard Value (2.0 - Default): Chester Keltner's recommended setting, good balance between signal frequency and reliability, suitable for both trending and ranging strategies
Higher Values (2.5-3.0): Wider channels with less frequent touches, fewer but potentially higher-quality signals, better for strong trending markets
Market-Specific Optimization: High volatility markets (crypto, small-caps) use 2.5-3.0 multiplier, medium volatility markets (major forex, large-caps) use 2.0 multiplier, low volatility markets (bonds, utilities) use 1.5-2.0 multiplier.
MA Type Parameter (Middle Band):
Critical selection that determines trend identification characteristics:
EMA (Exponential Moving Average - Default): Standard Keltner Channel choice, Chester Keltner's original specification, emphasizes recent prices, faster response to trend changes, suitable for all timeframes
SMA (Simple Moving Average): Equal weighting of all data points, no directional bias, slower than EMA, better for ranging markets and mean-reversion
HMA (Hull Moving Average): Minimal lag with smooth output, excellent for fast trend identification, best for day trading and scalping
TEMA (Triple Exponential Moving Average): Advanced smoothing with reduced lag, responsive to trends while filtering noise, suitable for volatile markets
T3 (Tillson T3): Very smooth with minimal lag, excellent for established trend identification, suitable for position trading
KAMA (Kaufman Adaptive Moving Average): Automatically adjusts speed based on market efficiency, slow in ranging markets, fast in trends, suitable for markets with varying conditions
ATR MA Type Parameter:
Determines how Average True Range is smoothed, affecting channel width stability:
RMA (Wilder's Smoothing - Default): J. Welles Wilder's original ATR smoothing method, very smooth, slow to adapt to volatility changes, provides stable channel width
SMA (Simple Moving Average): Equal weighting, moderate smoothness, faster response to volatility changes than RMA, more dynamic channel width
EMA (Exponential Moving Average): Emphasizes recent volatility, quick adaptation to new volatility regimes, very responsive channel width changes
TEMA (Triple Exponential Moving Average): Smooth yet responsive, good balance for varying volatility, suitable for most trading styles
Parameter Combination Strategies:
Conservative Trend-Following: Length 30/ATR Length 20/Multiplier 2.5, MA Type EMA or TEMA/ATR MA Type RMA, smooth trend with stable wide channels, suitable for position trading
Standard Balanced Approach: Length 20/ATR Length 10/Multiplier 2.0, MA Type EMA/ATR MA Type RMA, classic Keltner Channel configuration, suitable for general purpose swing trading
Aggressive Day Trading: Length 10-15/ATR Length 5-7/Multiplier 1.5-2.0, MA Type HMA or EMA/ATR MA Type EMA or SMA, fast trend with dynamic channels, suitable for scalping and day trading
Breakout Specialist: Length 20-30/ATR Length 5-10/Multiplier 2.0, MA Type SMA or WMA/ATR MA Type EMA or SMA, stable trend with responsive channel width
Adaptive All-Conditions: Length 20/ATR Length 10/Multiplier 2.0, MA Type KAMA or FRAMA/ATR MA Type KAMA or TEMA, self-adjusting to market conditions
Offset Parameter:
Controls horizontal positioning of channels on chart. Positive values shift channels to the right (future) for visual projection, negative values shift left (past) for historical analysis, zero (default) aligns with current price bars for real-time signal analysis. Offset affects only visual display, not alert conditions or actual calculations.
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Keltner Channel Enhanced provides improvements over standard implementations while maintaining proven effectiveness.
Response Characteristics:
Standard EMA/RMA Configuration: Moderate trend lag (approximately 0.4 × length periods), smooth and stable channel width from RMA smoothing, good balance for most market conditions
Fast HMA/EMA Configuration: Approximately 60% reduction in trend lag compared to EMA, responsive channel width from EMA ATR smoothing, suitable for quick trend changes and breakouts
Adaptive KAMA/KAMA Configuration: Variable lag based on market efficiency, automatic adjustment to trending vs. ranging conditions, self-optimizing behavior reduces manual intervention
Comparison with Traditional Keltner Channels:
Enhanced Version Advantages:
Dual Algorithm Flexibility: Independent MA selection for trend and volatility vs. fixed EMA/RMA, separate tuning of trend responsiveness and channel stability
Market Adaptation: Choose configurations optimized for specific instruments and conditions, customize for scalping, swing, or position trading preferences
Comprehensive Alerts: Enhanced alert system including channel expansion detection
Traditional Version Advantages:
Simplicity: Fewer parameters, easier to understand and implement
Standardization: Fixed EMA/RMA combination ensures consistency across users
Research Base: Decades of backtesting and research on standard configuration
When to Use Enhanced Version: Trading multiple instruments with different characteristics, switching between trending and ranging markets, employing different strategies, algorithm-based trading systems requiring customization, seeking optimization for specific trading style and timeframe.
When to Use Standard Version: Beginning traders learning Keltner Channel concepts, following published research or trading systems, preferring simplicity and standardization, wanting to avoid optimization and curve-fitting risks.
Performance Across Market Conditions:
Strong Trending Markets: EMA or HMA basis with RMA or TEMA ATR smoothing provides quicker trend identification, pullbacks to basis offer excellent entry opportunities
Choppy/Ranging Markets: SMA or WMA basis with RMA ATR smoothing and lower multipliers, channel bounce strategies work well, avoid false breakouts
Volatile Markets: KAMA or FRAMA with EMA or TEMA, adaptive algorithms excel by automatic adjustment, wider multipliers (2.5-3.0) accommodate large price swings
Low Volatility/Consolidation: Channels narrow significantly indicating consolidation, algorithm choice less impactful, focus on detecting channel width contraction for breakout preparation
Keltner Channel vs. Bollinger Bands - Usage Comparison:
Favor Keltner Channels When: Trend-following is primary strategy, trading volatile instruments with gaps, want ATR-based volatility measurement, prefer fewer higher-quality channel touches, seeking stable channel width during trends.
Favor Bollinger Bands When: Mean-reversion is primary strategy, trading instruments with limited gaps, want statistical framework based on standard deviation, need squeeze patterns for breakout identification, prefer more frequent trading opportunities.
Use Both Together: Bollinger Band squeeze + Keltner Channel breakout is powerful combination, price outside Bollinger Bands but inside Keltner Channels indicates moderate signal, price outside both indicates very strong signal, Bollinger Bands for entries and Keltner Channels for trend confirmation.
Limitations and Considerations:
General Limitations:
Lagging Indicator: All moving averages lag price, even with reduced-lag algorithms
Trend-Dependent: Works best in trending markets, less effective in choppy conditions
No Direction Prediction: Indicates volatility and deviation, not future direction, requires confirmation
Enhanced Version Specific Considerations:
Optimization Risk: More parameters increase risk of curve-fitting historical data
Complexity: Additional choices may overwhelm beginning traders
Backtesting Challenges: Different algorithms produce different historical results
Mitigation Strategies:
Use Confirmation: Combine with momentum indicators (RSI, MACD), volume, or price action
Test Parameter Robustness: Ensure parameters work across range of values, not just optimized ones
Multi-Timeframe Analysis: Confirm signals across different timeframes
Proper Risk Management: Use appropriate position sizing and stops
Start Simple: Begin with standard EMA/RMA before exploring alternatives
Optimal Usage Recommendations:
For Maximum Effectiveness:
Start with standard EMA/RMA configuration to understand classic behavior
Experiment with alternatives on demo account or paper trading
Match algorithm combination to market condition and trading style
Use channel width analysis to identify market phases
Combine with complementary indicators for confirmation
Implement strict risk management using ATR-based position sizing
Focus on high-quality setups rather than trading every signal
Respect the trend: trade with basis direction for higher probability
Complementary Indicators:
RSI or Stochastic: Confirm momentum at channel extremes
MACD: Confirm trend direction and momentum shifts
Volume: Validate breakouts and trend strength
ADX: Measure trend strength, avoid Keltner signals in weak trends
Support/Resistance: Combine with traditional levels for high-probability setups
Bollinger Bands: Use together for enhanced breakout and volatility analysis
USAGE NOTES
This indicator is designed for technical analysis and educational purposes. Keltner Channel Enhanced has limitations and should not be used as the sole basis for trading decisions. While the flexible moving average selection for both trend and volatility components provides valuable adaptability across different market conditions, algorithm performance varies with market conditions, and past characteristics do not guarantee future results.
Key considerations:
Always use multiple forms of analysis and confirmation before entering trades
Backtest any parameter combination thoroughly before live trading
Be aware that optimization can lead to curve-fitting if not done carefully
Start with standard EMA/RMA settings and adjust only when specific conditions warrant
Understand that no moving average algorithm can eliminate lag entirely
Consider market regime (trending, ranging, volatile) when selecting parameters
Use ATR-based position sizing and risk management on every trade
Keltner Channels work best in trending markets, less effective in choppy conditions
Respect the trend direction indicated by price position relative to basis line
The enhanced flexibility of dual algorithm selection provides powerful tools for adaptation but requires responsible use, thorough understanding of how different algorithms behave under various market conditions, and disciplined risk management.
ICT Suspension Block HTF [Herman]ICT Suspension Block HTF — auto-marking +SB / –SB with MTF
ICT Suspension Block HTF automatically detects and plots Suspension Blocks (SB ) on your chart and optionally pulls them from higher timeframes. It’s built for traders who want precise, visual SB zones with mitigation/entry alerts and a compact stats panel.
What’s a Suspension Block (SB) ?
-A Suspension Block is a body-to-body price imbalance formed by three consecutive candles in the same direction where the bodies create sequential “gaps” (a brief pause in price efficiency).
-Bullish +SB: three bullish candles with body-to-body gaps stepping up.
-Bearish –SB: three bearish candles with body-to-body gaps stepping down.
This script highlights the actionable block zone (between the body levels of the middle candle) and lets you extend it forward for reaction tests.
Note: This tool implements a widely discussed definition of Suspension Blocks for educational/analytical use.
Key features
-Auto detection: Plots +SB/–SB the moment a valid 3-candle structure forms.
-Multi-Timeframe (MTF):
-Current timeframe detection (toggle).
-MTF1 & MTF2 pulls (e.g., 5m and 15m by default) to show HTF SBs directly on your LTF chart.
-Smart de-duplication: Avoids drawing near-identical blocks (tick-aware tolerance).
-Midpoint line (optional): Draws the 50% of the block for refined confluence.
-Forward extension: Choose how far to extend the zone in bars.
Alerts:
-New +SB/–SB formed
-Price enters a block
-Block mitigated
-Stats table: Lightweight panel showing active +SB / –SB counts and average detected gap size.
Theme aware : Light/Dark table themes matched to Herman Trading visuals.
Inputs (quick guide)
-Multi-Timeframe
-Enable Current Timeframe
-Enable MTF1 (timeframe input)
-Enable MTF2 (timeframe input)
Core
-Show Bullish / Bearish
-Show Labels
-Show 50% Midpoint
-Min Gap Size (% of candle body) — filters out weak structures
-Extension Length (bars) — how far to project the zone
-Max Number of Blocks — auto-prunes oldest drawings
-Label Size & Colors
-Alerts
-New Block Formation
-Price Entered Block
-Block Mitigation
-Table
-Show / Position
-Theme (Light / Dark)
How mitigation & entry work
-Entry alert: Fires when price crosses into a block (from outside).
-Mitigation: When price tags the block boundaries (top/bottom), the zone is marked mitigated (faded, no further extension).
-The stats panel updates counts in real time.
Practical tips
-Use HTF SBs (e.g., 15m/1h) on your execution timeframe for higher-quality reaction zones.
-Combine with your existing framework (session timing, liquidity sweeps, iFVG/MSS, etc.).
-Tighten/loosen Min Gap Size to match instrument volatility.
-Keep Max Blocks reasonable for performance on very low timeframes.
Disclaimer
This indicator is for education and analysis. It does not constitute financial advice. Trading involves risk; always do your own research and manage risk appropriately.
Overnight Gap Detector Overnight Gap Detector - 4H Body to Body
What it detects:
The indicator finds overnight gaps - i.e., gaps between trading days based on 4-hour (4H) candle data.
Gap Definition (Wick to Wick):
Gap UP: When yesterday's 4H candle's highest point (high) is BELOW today's 4H candle's lowest point (low) - there's "air" between them
Gap DOWN: When yesterday's 4H candle's lowest point (low) is ABOVE today's 4H candle's highest point (high)
Rectangle Drawing (Body to Body):
Although the gap is detected via wicks, the rectangle is only drawn between the bodies:
Gap UP: Draws from today's open to yesterday's body top (max of open/close)
Gap DOWN: Draws from yesterday's body bottom (min of open/close) to today's open
This means the rectangle does NOT cover the wicks, only the actual gap between bodies.
Midline:
50% line between top and bottom of the gap rectangle
Continues to the right along with the rectangle
Stops when the gap is filled
Gap Filled:
A gap is marked as "filled" when:
Gap UP: Price's close goes DOWN and reaches yesterday's body top
Gap DOWN: Price's close goes UP and reaches yesterday's body bottom
Important: Only close body counts, not wicks!
Visual Elements:
Green box: Gap Up (upward gap)
Red box: Gap Down (downward gap)
Yellow box: Filled gap
Labels: "GAP HOLE" when active, "FILLED gap" when filled
Midline: Dotted line through the middle of the gap
Features:
✅ Works on all timeframes (5min, 15min, 1H, 2H, 4H, etc.) - always uses 4H data
✅ Rectangles expand bar by bar until filled
✅ Customizable colors for gaps, borders, midlines, and labels
✅ Label position (inside or outside box)
✅ Toggle to show/hide labels and midlines
✅ Minimum gap size filter (%)
Fair Value Gap / iVFG / Imbalance / MTF SuiteDescription
This indicator detects Fair Value Gaps (FVGs) and Imbalances across up to 10 user-selected timeframes and manages them with precise retest handling and clean visualization options.
What’s unique
3-candle FVG detection per timeframe (no lookahead).
Retest handling: on the first touch the touched edge snaps to the retest wick and the zone recolors (fresh → retested).
Right-side projection limits to avoid endless extensions.
Deterministic multi-TF overlay: HTF zones are computed independently (lookahead off) and drawn in a stable, priority-based order.
iFVG / parked zones: optionally convert a filled gap into an iFVG (parked/blue) instead of deleting/greying it.
Optional Imbalance Add-on (3-candle), with split halves + 50% midline.
How it works (technical)
FVG logic (3 candles):
Bullish when low > high (gap up); Bearish when high < low (gap down).
The created box spans the untraded range of candle B and starts at time .
Retest behavior:
On the first wick-touch, the nearest boundary adapts to the wick extreme. If enabled, the box recolors to a “retested” palette.
Projection:
Boxes extend to the right; optional bar limit constrains length.
Display limits:
FIFO pruning per direction keeps only the newest N boxes; iFVG/grey pools can share or use separate limits.
Imbalance Add-on (optional):
Classic 3-candle imbalance; draws upper/lower halves and an optional 50% midline.
No lookahead / confirmation:
Calculations run with barmerge.lookahead_off; detection finalizes on bar close (repaint-free on close).
How to use
Treat fresh gaps as potential reaction zones or confluence with liquidity / structure.
Use retested gaps for continuation or rejection logic.
Limit right-projection and visible count to keep charts readable on lower TFs.
Combine with your own execution rules (entries, stops, partials).
Key settings
General: adjust/recolor on retest, right-side limit (bars).
Display Limits: max visible per direction; separate iFVG cap if desired.
Visuals: filled vs. outline, transparency, TF labels (auto or custom), label alignment.
Theme: presets (Pegasus Classic, Icefire, Solarized, Heatmap, Pastel, Monochrome) or Custom colors.
Timeframes: enable up to 10 TF slots (e.g., M1/M5/M15/H1/H4/D1…).
Add-on — Imbalance: enable/disable, midline on/off, filled/outline, colors.
Alerts
New Bullish FVG
New Bearish FVG
Add-on: New Bullish Imbalance
Add-on: New Bearish Imbalance
Notes & limitations
FVG detection is confirmed on bar close; intrabar retest recolor can occur as price interacts.
Historical rendering depends on chart history & session settings.
Many TFs + large box counts can be heavy; use projection limits and display caps for performance.
This tool does not generate trade signals; it visualizes inefficiencies for discretionary or rules-based workflows.
Disclaimer
For educational and informational purposes only. Not financial advice.
Access / Support: Invite-only. For access or assistance, please DM.
Regular Trading Hours Opening Range Gap (RTH ORG)### Regular Trading Hours (RTH) Gap Indicator with Quartile Levels
**Overview**
Discover overnight gaps in index futures like ES, YM, and NQ, or stocks like SPY, with this enhanced Pine Script v6 indicator. It visualizes the critical gap between the previous RTH close (4:15 PM ET for futures, 4:00 PM for SPY) and the next RTH open (9:30 AM ET), helping traders spot potential price sensitivity formed during after-hours trading.
**Key Features**
- **Standard Gap Boxes**: Semi-transparent boxes highlight the gap range, with optional text labels showing day-of-week and "RTH" identifier.
- **Midpoint Line**: A customizable dashed line at the 50% level, with price labels for quick reference.
- **New: Quartile Lines (25% & 75%)**: Dotted lines (default width 1) mark the quarter and three-quarter points within the gap, ideal for finer intraday analysis. Toggle on/off, adjust style/color/width, and add labels.
- **High-Low Gap Variant**: Optional boxes and midlines for gaps between the prior close's high/low and the open's high/low—perfect for wick-based overlaps on lower timeframes (5-min or below recommended).
- **RTH Close Lines**: Extend previous close levels with dotted lines and price tags.
- **Customization Galore**: Extend elements right, limit historical displays (default: 3 gaps), no-plot sessions (e.g., avoid weekends), and time offsets for non-US indices.
**How to Use**
Apply to 15-min or lower charts for best results. Toggle "extend right" for ongoing levels. SPY auto-adjusts for its 4 PM close.
Tested on major indices—enhance your gap trading strategy today! Questions? Drop a comment.
Thanks to twingall for supplying the original code.
Thanks to The Inner Circle Trader (ICT) for the logical and systematic application.
MK_OSFT-Momentum Confluence DetectorMOMENTUM CONFLUENCE DETECTOR - Trading Indicator Overview
What This Indicator Does
The Momentum Confluence Detector is a comprehensive Pine Script indicator designed to identify high-probability trading opportunities by detecting momentum bars that align with multiple confluence factors. It combines traditional technical analysis with advanced Smart Money Concepts to filter out noise and highlight the most significant price movements.
CORE FUNCTIONALITY
📊 Momentum Bar Detection Identifies unusual volume and bar size expansion using customizable multipliers
Detects bullish, bearish, and neutral momentum bars based on OHLC relationships
Uses moving averages to establish baseline volume and bar size thresholds
🔄 Multi-Filter Confluence System
The indicator employs up to 5 different filter types to validate momentum signals:
Level Concept Filter - Choose between:
- Support/Resistance Levels : Traditional pivot-based S/R zones with touch counting and break tracking
- Smart Money Concepts : Institutional order flow analysis including Order Blocks, Fair Value Gaps (FVGs), and market structure breaks
Trend Filter : EMA/SMA-based trend direction confirmation with alignment requirements
Breakout Filter : Detects price breakouts beyond recent highs/lows with percentage thresholds
Volatility Filter : ATR expansion confirmation to ensure signals occur during active market conditions
Market Session Filter : Filters signals to specific trading sessions (Tokyo, London, New York)
ADVANCED FEATURES
🎯 Smart Money Concepts Integration
Order Blocks : Identifies institutional supply/demand zones from major and minor structure breaks
Fair Value Gaps (FVGs) : Detects price imbalances and tracks their evolution through partial fills and inversions
Market Structure : Recognizes Break of Structure (BOS) and Change of Character (CHoCH) patterns
Retracement Patterns : Tracks HLH (Higher-Low-Higher) and LHL (Lower-High-Lower) institutional patterns
📈 Support/Resistance System
Multi-timeframe pivot detection (3, 5, 7-bar spans)
Volume-weighted strength calculation for level importance
Dynamic level merging and break tracking
Automatic level type classification (Support/Resistance/Flip zones)
⚙️ Intelligent Filtering Logic
ALL Mode : Requires all enabled filters to pass (high precision)
ANY Mode : Requires at least one filter to pass (higher frequency)
Real-time filter status tracking and visualization
Visual Features
Signal Markers : Clear triangular markers for qualified momentum bars
Unfiltered Signals : Optional display of raw momentum bars for comparison
Level Visualization : Dynamic S/R level boxes and lines with strength indicators
Structure Lines : BOS/CHoCH break visualization with major/minor classification
Fair Value Gaps : Color-coded boxes showing bullish/bearish FVGs with partial fill tracking and IFVG conversion
Order Blocks : Institutional supply/demand zones displayed as colored boxes with major/minor classification
Information Table : Real-time display of signal details and filter status
Session Boxes : Visual representation of active trading sessions
Practical Applications
✅ Swing Trading : Identify high-probability reversal and continuation setups
✅ Day Trading : Spot intraday momentum shifts with institutional backing
✅ Multi-Timeframe Analysis : Combine major and minor structure analysis
✅ Risk Management : Filter out low-quality setups using confluence requirements
✅ Educational : Understand market structure and institutional order flow
Customization Options
Adjustable momentum thresholds for different market conditions
Comprehensive filter settings with individual enable/disable controls
Visual customization for colors, sizes, and display preferences
Alert system with detailed signal information
Performance optimization settings for different chart timeframes
Who Should Use This Indicator
This indicator is suitable for traders who:
Want to combine multiple technical analysis approaches
Seek to understand institutional market behavior
Prefer confluence-based trading setups
Need customizable filtering for different market conditions
Value comprehensive signal validation over high-frequency alerts
The Momentum Confluence Detector transforms complex market analysis into clear, actionable signals by requiring multiple forms of confirmation before highlighting trading opportunities.
Price Action Trader [BackQuant]Price Action Trader
Introduction
Price Action Trader is an all-in-one, chart-side workflow for reading trend, timing impulses, and mapping high-probability zones the way discretionary traders actually trade. It blends an ensemble trend engine with clean price-action building blocks—Market Structure (BOS/MSB), Fair Value Gaps, Order Blocks, and Volumetric Support/Resistance—so you can form a bias, find confluence, and execute with context.
What is it
A modular “price-action stack” that:
Paints trend bias and impulse shifts on the chart (optional candle coloring).
Auto-annotates internal & swing structure (BOS / MSB).
Finds FVGs on your chosen timeframe and draws them cleanly.
Detects Order Blocks (with optional FVG confirmation).
Builds volumetric S/R levels that adapt to liquidity.
Emits alerts for key events (new levels, touches, breaks, OB creation/touch).
Everything is configurable—keep it minimal (trend + a few zones) or run the full toolkit.
What’s it used for
Bias first, trade second: establish direction/conviction, then execute where structure, gaps, blocks, and volume agree.
Timing: impulse flips and level touches provide actionable triggers.
Risk placement: OB edges, FVG midlines, and volumetric bands give logical stop/target references.
Review & journaling: optional session shading and labeled structures make post-trade notes simple.
Composite Trend Model
A lightweight signal line (default: 30-period) that turns green when the composite regime is bullish and red when bearish. Under the hood, multiple cues (adaptive momentum, de-noised oscillation, volatility-aware filters) are blended into a single directional score; when thresholds flip, the line recolors and optional Long/Short dots appear.
How to use
Treat the line as your bias rail : favor longs while green, shorts while red.
Flat/rapid flips = stand down or reduce size.
Prefer clean charts? Keep only the line and (optionally) trend-painted candles.
Inputs to know
Show Trend Signal Line / Width.
Paint Candles by Trend.
Long/Bearish color controls.
Impulse Model
Highlights short-term pressure shifts with optional impulse candle coloring and ▲/▼ markers. Great for entries in the prevailing trend and for early warnings when impulses fire against bias.
How to use
Up-bias: look for the next impulse-up near structure/FVG/OB or volumetric support.
Down-bias: mirror the logic.
Frequent counter-impulses → expect chop or regime change.
Inputs to know
Show Impulse Signals.
Paint Impulse Candles.
Market Structure
Automatic Internal (tight lookback) and Swing (wider lookback) structure with BOS and MSB (CHoCH) labels. You decide what to show—All, BOS only, MSB only—independently for internal vs swing.
How to use
Use Swing labels for the primary map; Internal for entry refinement.
After a bullish MSB , seek the first HL back into support/FVG/OB.
After a bearish BOS , favor LH fades into resistance/FVG/OB.
Inputs to know
Swing Lookback / Internal Lookback.
Swing/Internal Structure: All | BOS | MSB | None .
Separate bull/bear color controls for both layers.
Fair Value Gaps
Detects bullish/bearish FVGs on the current or higher TF, draws boxes, and can extend them forward. Midlines provide quick visual targeting.
How to use
In-trend fills: in an up-bias, tags of bullish FVGs often offer high-quality continuation entries, especially with structure/OB confluence.
Failed fills: rejections at the midline can signal emerging strength/weakness.
Inputs to know
Show FVG / Show Last N / Extend.
Timeframe (blank = chart TF; set higher TF for macro FVGs).
Bull/Bear colors (tune opacity to taste).
Volumetric Support and Resistance
Builds adaptive S/R from price interaction + relative volume over a rolling lookback. Levels store touch counts; you can show volume stats on labels or inside boxes. Transparency and border thickness can scale with volume so stronger levels are visually louder. Broken levels can auto-remove.
How to use
Use as confluence with structure, OBs, and FVGs. A long at volumetric support + Bull OB + FVG midline is qualitatively different from a naked level.
If a level breaks on strong volume, stop fading—flip expectations or wait for a clean retest.
Inputs to know
Detection Sensitivity / Volume Multiplier.
Analysis Period / Max Levels / Min Distance (%).
Remove Broken / Extend Right / Show Volume Info / Text Inside.
Support/Resistance colors (+ high-vol variants).
Alerts
New Support/Resistance Level Created.
Level Touch.
Level Break.
Order Blocks
Detects bullish/bearish OBs using configurable fractals (3- or 5-bar) with a break confirmation (by Close or High/Low). Optional FVG proximity filter, right-extension, and auto-delete when filled.
How to use
Bullish bias: stalk pullbacks into fresh Bull OBs aligned with a bullish FVG or volumetric support.
If price fills an opposing OB and fails to continue, reassess bias—context may be shifting.
Inputs to know
Fractal Type & Break Method (Close / HL).
Filter with FVG + Max FVG Distance.
Extend Blocks / Delete When Filled / Show Labels.
Alerts
New Order Block Created.
Order Block Touch.
Final Notes
Suggested workflow
Start with Composite Trend (bias).
Mark Swing structure in that direction.
Wait for an Impulse in-direction near an OB / FVG / Volumetric level.
Risk = nearest opposite level or OB edge; targets = FVG midlines / next S/R.
Timeframes & assets
Defaults suit liquid intraday and 1–4H swing.
Slower markets → lengthen lookbacks, lower sensitivity.
Very noisy crypto → keep trend visible, trim drawings (e.g., MSB only, last 3–5 FVGs, 8–12 volume levels).
Keep it readable
Turn off modules you don’t need today—fewer, higher-quality signals beat clutter.
About this release
Internal scoring, smoothing, and detection logic are proprietary. Behavior is controlled via inputs described above.
Trade with a plan, test your settings, and let confluence do the heavy lifting.
Precision Fair Value Gap (FVG)This indicator scans historical price action to automatically detect unmitigated Fair Value Gaps (FVGs) with precision.
It highlights bullish and bearish gaps that remain open until price fills them, helping traders spot key liquidity imbalances used in Smart Money Concepts (SMC).
🔹 Features
Detects both bullish and bearish FVGs.
Auto-removes mitigated gaps once price returns to fill them.
Configurable gap size, line weight, and colors.
Optimized for performance with capped lookback and line control.
Works on all timeframes and markets.
Perfect for traders who rely on price action and institutional order flow to refine entries, exits, and confluence zones.
ICT Fair Value Gap (FVG) DetectorFair Value Gap (FVG) Indicator
Purpose: Highlights price gaps between three consecutive candles, which signal areas of imbalance that may later act as support or resistance.
How It Works: The script looks for a gap between the high of two bars ago and the low of the current bar (bullish FVG) or the low of two bars ago and the high of the current bar (bearish FVG).
Visuals: These gaps are marked as transparent boxes on the chart, extended to the right until they are "filled" or mitigated by price returning into the gap.
Customization: You can adjust which gaps show, their colors, thresholds, and other display options.
Candle Opening Price & FVG/iFVGIndicator Description: Candle Opening Price & Fair Value Gaps w/(iFVGs)
This powerful, multi-purpose indicator combines two essential trading concepts into one comprehensive tool, designed to provide traders with key price levels and areas of market imbalance.
What It Does
1. Customizable Candle Open Lines: This feature allows you to mark the opening price of specific candles from key trading sessions throughout the day.
Up to 7 Custom Time Inputs: You can define up to seven different times (e.g., "08:30" for London Open, "09:30" for New York Open).
Automatic Horizontal Lines: The script automatically draws a persistent horizontal line at the opening price of the candle corresponding to your set time.
Full Customization: Each line can be independently enabled or disabled and styled with a unique color, width, and line style (solid, dashed, dotted), allowing for a clean and personalized chart setup.
Use Cases: Ideal for marking session opens, news event candles, or any other time-based level that you consider significant for support, resistance, or directional bias.
2. Dynamic Fair Value Gaps (FVG) & Inversions (iFVG): This part of the indicator automatically identifies, draws, and manages Fair Value Gaps, a core concept in modern price action trading.
Automatic FVG Detection: The script identifies both Bullish FVGs (areas of buying inefficiency) and Bearish FVGs (areas of selling inefficiency) based on the classic three-bar pattern.
Clear Visualization: Discovered FVGs are drawn as colored boxes on the chart, extending into the future until they are mitigated. Colors for Bullish and Bearish FVGs are fully customizable.
Inversion Logic: When price wicks into an FVG, the box changes color to signify an "inversion." A Bullish FVG that gets tapped becomes potential resistance (Bearish Inversion), and a Bearish FVG becomes potential support (Bullish Inversion). This dynamic shift helps you track how the market is interacting with these zones.
Zone Mitigation: Once an inverted FVG is fully reclaimed by a candle close, the zone is considered "mitigated" and the box is automatically removed from the chart, keeping your view focused on relevant, active zones.
Disclaimer
This indicator is for educational and informational purposes only and should not be construed as financial advice. Trading in financial markets involves substantial risk, and there is always the potential for loss. Past performance is not indicative of future results.
The signals, levels, and zones generated by this tool are based on historical price data and mathematical formulas; they do not predict the future with certainty. You should always conduct your own research, practice sound risk management, and consult with a qualified financial advisor before making any trading decisions. The author and TradingView are not responsible for any financial losses you may incur by using this script. Use at your own risk.
Muzyorae - Quarterly TheoryQuarterly Theory — NY Session Macro Model
The Quarterly Theory Model is a structured framework for analyzing intraday market behavior based on institutional activity and macro-level cycles.
It divides the New York trading session into four sequential “quarters” (Q1–Q4), each representing distinct phases of market participation, liquidity accumulation, and directional bias.
This model is designed for professional traders who aim to align their strategies with institutional flows, key liquidity zones, and market structure shifts.
It accommodates both AMDX (Accumulation → Manipulation → Distribution → Expansion) and XAMD (reversal sequences) fractal patterns, allowing traders to adapt to varying market conditions.
Price action may expand early during Q1 in an XAMD sequence, representing an initial breakout or early liquidity sweep before the typical Q2 manipulation phase. Traders should be aware that Q1 can occasionally produce unexpected volatility or directional bias in such sequences.
Session Breakdown (New York Time)
Q1 – Accumulation
Time: 9:30 – 10:00 AM
Phase Characteristics: Early session positioning, initial liquidity sweeps, and false moves. Institutions build positions while retail participants often react to gaps and premarket activity.
Note: Price may expand early in an XAMD sequence, creating a short-term directional move before Q2.
Q2 – Manipulation / Expansion
Time: 10:00 – 11:30 AM
Phase Characteristics: The main directional move develops, often characterized by breaks of structure, fair value gaps, and liquidity sweeps. This is a prime area for trend initiation.
Q3 – Distribution / Retracement
Time: 11:30 AM – 1:30 PM
Phase Characteristics: Price consolidates and retraces into prior accumulation zones, reflecting profit-taking or redistribution by institutions. Market chop and sideways movement are common.
Q4 – Final Expansion / Repricing
Time: 1:30 – 4:00 PM
Phase Characteristics: The afternoon session often produces final liquidity sweeps, trend continuation, or reversals, setting the high or low of the day and completing the daily macro cycle.
Key Features of the Model
Fractal-Based Structure: Q1–Q4 cycles reflect institutional behavior at a macro level, scalable to other intraday or multi-day fractals.
Supports AMDX & XAMD: Allows for both standard accumulation → manipulation → distribution → expansion sequences and reversal patterns depending on market behavior.
Early Expansion in Q1: Recognizes that in XAMD sequences, Q1 may produce early directional moves or breakout activity.
True Open Q2 Line: Highlights the opening price of Q2 as a reference for trend validation and potential entry zones.
Dynamic Time Alignment: Fully synchronized with New York (ET) time zone, ensuring accurate representation of market cycles.
Professional Visualization: Optional labels and vertical markers for each quarter, supporting quick visual analysis and pattern recognition.
Integration with ICT Concepts: Compatible with Smart Money Techniques (SMT), Fair Value Gaps (FVGs), Order Blocks (OBs), and Break of Structure (BOS) for enhanced trade planning.
Purpose and Application
Anticipates areas of liquidity accumulation and manipulation.
Identifies optimal entry and exit zones within institutional cycles.
Structures trades around probable trend initiation and continuation periods.
Aligns retail activity with institutional flow for higher probability setups.
Adapts to market variability through AMDX and XAMD fractal patterns.
Accounts for early expansions or breakout activity during Q1 in XAMD sequences.
By using the Quarterly Theory Model, traders gain a systematic, time-based framework to interpret market structure and maximize alignment with institutional participants.
Gap Detector (Body and Candle)Finds/Detects gaps between candles and candle bodies for any chart/timeframe with O(n+delta) performance.
Candle Gaps (between wicks) act as strong support or resistance. They are drawn as solid boxes.
Body Gaps (ignores wicks) act as mild support or resistance. They are depicted with lines.
Adjust the settings for candle/body gap width, smaller the time frame, smaller the gap.
Adjust max historical bars to fine tune performance on your system/setup. The more historical bars the script scans, more time required to load the chart. At times based on system configuration, TradingView may timeout the script due to too many bars. Reducing the max bars helps in this scenario.
This is a revamped version of "Body Gap Detector".
Happy charting !
CandelaCharts - NWOG & NDOG📝 Overview
In trading, opening gaps aren’t just noise—they’re clues. Two key ones are the New Week Opening Gap (NWOG) and the New Day Opening Gap (NDOG).
The NWOG forms between Friday’s close (5 PM EST) and Sunday’s open (6 PM EST). It often acts as a magnet—price tends to revisit it, sometimes days or even weeks later. The NDOG is the daily version, showing imbalances at the start of each session.
Between two NWOGs, the Event Horizon (EH)—the midpoint—often becomes a pull for price. When the price hits it, there's a good chance it keeps moving toward the next gap.
I also watch the Optimal Trade Entry (OTE) zones, usually around the 0.68–0.79 retracements between NWOGs. These levels often line up with institutional interest and make solid spots for entries.
To simplify all this, I use an indicator that automatically detects NWOGs and NDOGs, then plots the EH and OTE levels in real time. No manual drawing. Just clean, updated levels every week.
These gaps and their derived levels help map where price is likely to go—and when to act.
📦 Features
MTF
Mitigation
Consequent Encroachment
Threshold
Hide Overlap
Advanced Styling
⚙️ Settings
Show: Controls whether NWOG/NDOG gaps are displayed on the chart.
Show Last: Sets the number of NWOG/NDOG you want to display.
Length: Determines the length of each NWOG/NDOG.
Mitigation: Highlights when an NWOG/NDOG has been touched, using a different color without marking it as invalid.
Timeframe: Specifies the timeframe used to detect NWOG/NDOGs.
Threshold: Sets the minimum gap size required for NWOG/NDOG detection on the chart.
Event Horizon: Controls whether EHs are displayed on the chart.
Show Mid-Line: Configures the midpoint line's width and style within the NWOG/NDOG. (Consequent Encroachment - CE)
Show Border: Defines the border width and line style of the NWOG/NDOG.
Hide Overlap: Removes overlapping NWOG/NDOG from view.
Extend: Extends the NWOG/NDOG length to the current candle.
Elongate: Fully extends the NWOG/NDOG length to the right side of the chart.
⚡️ Showcase
Simple
Mitigated
Bordered
Consequent Encroachment
Extended
Event Horizon
🚨 Alerts
This script provides alert options for all signals.
Bearish Signal
A bearish signal is triggered if the price enters a bearish NWOG/NDOG zone.
Bullish Signal
A bullish signal is triggered if the price enters a bullish NWOG/NDOG zone.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
[Top] LHAMA SupertrendLHAMA Supertrend - Advanced Adaptive Trend Following System
Overview
The LHAMA Supertrend is an innovative trend-following indicator that combines adaptive moving average technology with intelligent signal confirmation. Unlike traditional supertrend indicators that rely on simple moving averages, this system uses my Low-High Adaptive Moving Average (🦙 LHAMA) algorithm that dynamically adjusts to market volatility and price action patterns. It is much more responsive to sudden price changes than traditional supertrend indicators, allowing you to jump in earlier and catch more of the move, and it manages this responsiveness without significantly increasing the number of false signals.
What Makes This Original
This indicator introduces several unique concepts not found in standard trend-following tools:
LHAMA Algorithm : The core innovation is the Low-High Adaptive Moving Average, which adapts its responsiveness based on the frequency of new highs and lows within a lookback period. This creates a more intelligent baseline that responds appropriately to different market conditions.
Delayed Confirmation System : Rather than generating immediate signals on price crossovers, the indicator implements a sophisticated confirmation mechanism using slope analysis. Signals are only triggered when both trend direction and momentum align, significantly reducing false signals.
Volume Integration : Optional volume weighting enhances the adaptive calculation, giving more weight to price movements during high-volume periods.
Daily Reset Functionality : Unique daily reset feature helps realign the indicator after overnight gaps, particularly useful for equity markets.
How It Works
LHAMA Calculation
The LHAMA baseline adapts using a coefficient derived from:
Frequency of new highs and lows in the lookback period
Optional volume weighting factor
Smoothed adaptation rate based on market activity
The calculation:
lhama = previous_lhama + momentum_adaptation * (price - previous_lhama)
Where the momentum adaptation increases when markets are making new highs or lows, allowing faster response during trending conditions while providing stability during consolidation.
Signal Generation
The indicator uses a two-stage signal process:
Trend Identification : Price position relative to LHAMA determines basic trend bias
Slope Confirmation : ATR-normalized slope analysis confirms momentum direction
Signal Timing : Buy/sell signals only trigger when trend direction and slope momentum align
Visual Components
LHAMA Line : The adaptive baseline with optional angle-based gradient coloring that visualizes momentum strength
Trend Clouds : Dynamic fill areas that adapt to the last confirmed signal direction
ATR Halo : Opposite-side ATR band providing optional additional context for stop-loss placement
Confirmation Signals : Clear BUY/SELL labels only appear after full confirmation
How to Use
Basic Setup
Apply to any timeframe and symbol
Default LHAMA length of 15 periods works well for most applications
Accuracy depends greatly on chart timeframe and symbol, so make sure to backtest before relying on any signals. For example, ES and NQ work best on the 15m timeframe while GC and CL work best on the 5m.
Enable daily reset for equity markets to handle overnight gaps
Signal Interpretation
Immediate Heads-up : Small triangles show instant trend changes for awareness. These are your warnings to get ready to buy or sell if price takes off. (If many triangles are being printed in both directions, that is a warning that the market is ranging and you should not blindly follow a BUY/SELL signal without additional confirmation.)
Confirmed Signals : BUY/SELL labels appear only after slope confirms the direction
Cloud Color : Locked to the last confirmed signal direction for clear regime identification
Advanced Features
Flat Threshold : Adjust the angle threshold to filter out sideways market noise
Gradient Mode : Toggle between classic supertrend coloring and momentum-based gradients
ATR Halo : Use the opposite-side cloud as a more generous trailing stop level
Risk Management
The indicator provides multiple levels for stop-loss placement:
Tight : Edge of the main trend cloud
Standard : The LHAMA Line itself
Generous : ATR halo boundary
Best Practices
Timeframe Selection : Not all timeframes on all symbols are created equal. Make sure to scroll to the left and verify that your current chart timeframe isn't throwing out tons of bad signals. This will be easy to spot as it show up as constant rapid flipping from buy to sell.
Market Conditions : Performs best in trending markets. The flat threshold setting helps filter out poor performance during strong sideways action, but no indicator is perfect.
Confirmation : Wait for confirmed BUY/SELL signals rather than acting on immediate trend flips for better risk-adjusted returns.
Key Parameters
LHAMA Length (15) : Controls the lookback period for adaptive calculation
Daily Reset : Helps maintain accuracy across overnight gaps
Flat Threshold (5°) : Filters out low-momentum signals
Volume Weighting : Enhances adaptation during high-volume periods
Alerts
The indicator provides two alert types:
"BUY (confirmed)": Triggers when bullish trend and upward slope align
"SELL (confirmed)": Triggers when bearish trend and downward slope align
These alerts fire only on confirmed signals, not on immediate price crossovers, providing higher-quality notifications.
Innovation Summary
This indicator advances trend-following methodology by introducing adaptive baseline calculation, intelligent signal confirmation, and comprehensive visual feedback systems. The combination of LHAMA adaptation, slope-based confirmation, and multi-layered risk management tools creates a more sophisticated approach to trend analysis than traditional supertrend indicators.
The result is a tool that maintains responsiveness during trending conditions while providing stability during consolidation, with clear visual cues for entry, exit, and risk management decisions.
Fair Value Gap with Swing PointsFair Value Gaps occur when there's a significant price difference between the close of one period and the opening of the next, signaling market inefficiencies. Bullish gaps indicate potential upward momentum, while bearish gaps suggest potential downward pressure.
The Barking Rat ReversionsMean Reversion with Multi-Layered Precision
The Barking Rat Reversions is a short-term mean reversion strategy tailored for high-volatility markets. It combines several well-established technical tools in a configuration to identify overextended price movements likely to revert toward equilibrium. The goal is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups.
At its core, our strategy triggers off Fair Value Gaps (FVGs) that occur a considerable distance away from a dynamically defined equilibrium band. It then validates these gaps by checking proximity to recent support and resistance drawn from swing extremes.
Additional confirmation comes from momentum filters and wick-rejection patterns, ensuring each entry aligns with both price structure and stretched momentum. Exits use volatility-adjusted profit targets. Keeping the approach disciplined and adaptive.
🧠Core Logic: Selectivity & Structure
This strategy is intentionally very selective. We have designed it to filter out roughly 95% of all market noise, highlighting only setups that pass multiple validation layers outlined below.
Fair Value Gaps (FVGs) as the Primary Trigger
FVGs identify imbalance zones where price historically retraces. These inefficient zones often become magnets for reversion as the market seeks to rebalance.
Dynamic Equilibrium Band + S/R
Defines a fair value zone with a long-term moving average and combines it with shorter-term swing pivots to establish support/resistance. Only FVGs that occur outside the band and near recent pivots are considered, ensuring reversals are sufficiently distanced and not taken too close to the mean.
Proximity to Support/Resistance
Setup validity depends on location. The strategy filters for FVGs near well-defined structural levels — areas where price has previously turned (i.e., recent swing highs or lows). This increases the likelihood that reversals are occurring at legitimate zones of confluence.
Wick-Rejection Confirmation
Confirms potential exhaustion through characteristic candle wick patterns beyond the equilibrium region. This acts as another filter to improve signal accuracy.
Sequential Filtered Signals
Custom logic ensures that a new signal in any direction must improve upon the previous one, preventing repetitive or suboptimal entries.
Multi-Step Confirmation
All validation layers must coincide on the same bar before a signal triggers, dramatically reducing false positives.
📈Chart Visuals: Designed for Clarity
To ensure transparency and easy interpretation, the script overlays intuitive visuals:
Green “▲” below a candle: Indicates a potential long entry
Red “▼” above a candle: Indicates a potential short entry
Green “✔️”: Marks exit from a trade when ATR target is met
Background shading (green/red): Indicates trade direction while active
Support/Resistance lines: Auto-plotted from recent swing levels
🔔Alerts: Stay Notified Without Watching
The strategy supports real-time alerts on candle close, ensuring that signals are only triggered once fully confirmed.
You must manually set up alerts within your TradingView account. Once configured, you’ll be able to set up one alert per instrument. This one alert covers all relevant signals and exits — ideal for hands-free monitoring.
⚙️Strategy report properties
Position size: 25% equity per trade
Initial capital: 10,000.00 USDT
Pyramiding: 10 entries per direction
Slippage: 2 ticks
Commission: 0.055% per side
Backtest timeframe: 1-minute
Backtest instrument: HYPEUSDT
Backtesting range: Jul 21, 2025 — Aug 7, 2025
Note on Sample Size:
You’ll notice the report displays fewer than the ideal 100 trades in the strategy report above. This is intentional. The goal of the script is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups. This means that the Barking Rat Reversions strategy is ultra-selective, filtering out over 95% of market noise by enforcing multiple validation layers. The brief timeframe shown in the strategy report here illustrates its filtering logic over a short window — not its full capabilities. As a result, even on lower timeframes like the 1-minute chart, signals are deliberately sparse — each one must pass all criteria before triggering.
We conducted a broader backtest covering the period from December 5, 2024 to July 31, 2025, during which the strategy identified 968 high-probability setups on the same instrument and timeframe as the strategy report.
For a larger dataset:
Once the strategy is applied to your chart, users are encouraged to expand the lookback range or apply the strategy to other volatile pairs to view a full sample.
💡Why 25% Equity Per Trade?
While it's always best to size positions based on personal risk tolerance, we defaulted to 25% equity per trade in the backtesting data — and here’s why:
Backtests using this sizing show manageable drawdowns even under volatile periods
The strategy generates a sizeable number of trades, reducing reliance on a single outcome
Combined with conservative filters, the 25% setting offers a balance between aggression and control
Users are strongly encouraged to customize this to suit their risk profile.
🔍What Makes This Strategy Unique?
Multi-factor confirmation using FVGs, EMA deviation, RSI, wick rejection, and S/R
Clean, Intuitive Chart Experience
Real-time alerts triggered only on confirmation
Variables monitor prior reversal points, guaranteeing each new signal offers an improved entry
Tracks active positions and resets filters upon exit.
TraderJoe's Vol ScreenerA professional-grade volatility indicator that displays real-time volatility calculations as a clean overlay on your chart. Features multiple volatility calculation methods, multi-symbol screening capabilities, and extensive customization options. Perfect for volatility-based trading strategies, risk management, and market analysis.
Key Features:
4 Volatility Calculation Methods: Choose from Close-to-Close, Parkinson, Garman-Klass, or ATR-based volatility
Multi-Symbol Screener: Monitor volatility across up to 5 symbols simultaneously
Fixed Chart Overlay: Clean, non-intrusive display that doesn't interfere with price action
Lookback Period Highlighting: Visualize exactly which price data is being analyzed
Debug Mode: Deep dive into volatility components with detailed statistics
Fully Customizable: Colors, positions, text size, and display options
Volatility Methods Explained
Close-to-Close (Traditional)
Uses only closing prices
Standard deviation of logarithmic returns
Most common but ignores intraday movement
Parkinson (Default)
Uses high-low range
More efficient than close-to-close
Better captures intraday volatility
Ideal for trending markets
Garman-Klass
Uses OHLC data
Most efficient estimator
Captures overnight gaps and intraday movement
Best for 24/7 markets like crypto
ATR-Based
Uses Average True Range
Intuitive for traders familiar with ATR
Includes gaps between periods
Shown as percentage of price
Instructions
Basic Setup:
Add the indicator to your chart
The volatility will display in the top-right corner by default
Default settings use Parkinson volatility with 20-period lookback
Configuration Options:
Volatility Settings:
Lookback Period: Number of bars to calculate volatility (2-500)
Volatility Method: Choose your preferred calculation method
Annualize Volatility: Toggle to show annualized volatility
Decimal Places: Precision of volatility display (0-4)
Display Settings:
Text Size: From tiny to huge
Text/Background Colors: Customize appearance
Table Position: 9 positions available (corners, edges, center)
Highlight Lookback: Shows shaded area for calculation period
Screener Settings:
Show Volatility Screener: Enable multi-symbol monitoring
Screener Symbols: Enter up to 5 comma-separated symbols
Screener Position: Independent positioning from main display
Debug Mode:
Shows calculation method
Average, max, and min returns
Total price range over lookback period
Use Cases:
For Day Traders:
Use 10-20 period lookback on 5-15 minute charts
Parkinson or Garman-Klass methods recommended
Monitor volatility spikes for breakout opportunities
For Swing Traders:
Use 20-50 period lookback on hourly/daily charts
Compare volatility across correlated assets
Identify low volatility consolidations
For Options Traders:
Enable annualized volatility
Compare implied vs. historical volatility
Use screener to find high/low volatility assets
For Risk Management:
Scale position sizes based on volatility
Set stops using volatility multiples
Monitor portfolio volatility exposure
Tips & Best Practices:
Timeframe Matters: The indicator automatically adjusts calculations for your chart timeframe
Annualized vs. Raw:
Annualized: Compare across different timeframes
Raw: Actual volatility for the specific period
Method Selection:
Crypto/Forex (24/7): Use Garman-Klass
Stocks (with gaps): Use Parkinson or ATR-based
Quick analysis: Use default Parkinson
Screener Usage:
Enter symbols without exchange suffix for some brokers
All symbols use the same timeframe as your main chart
Great for finding relative volatility leaders/laggards
Common Questions:
Q: Why does volatility seem low during strong trends?
A: Volatility measures price variability, not direction. Steady trends can have low volatility.
Q: What's a "normal" volatility reading?
A: Varies by asset class:
Major forex pairs: 5-15% annualized
Large-cap stocks: 15-30% annualized
Cryptocurrencies: 50-100%+ annualized
Meme coins: 100-200%+ annualized
Q: How do I add more symbols to the screener?
A: Currently supports 5 symbols. Add them as comma-separated values (e.g., "BTCUSDT,ETHUSDT,SOLUSDT").
Example Setups:
Crypto Volatility Dashboard:
Method: Garman-Klass
Lookback: 24 (for hourly = 1 day)
Screener: Top cryptos
Position both tables on left side
Stock Market Scanner:
Method: ATR-Based
Lookback: 20
Annualized: On
Highlight lookback period
Forex Precision:
Method: Parkinson
Lookback: 50
Decimal places: 3
Debug mode for deep analysis
Futures Trade Entry Indicator (MTF)Work in Progress with the help of Claude. Not ready for active trading. Public for help improving. This will be a multi-timeframe futures trading indicator with supply/demand zones, Fair Value Gaps (FVGs), and sophisticated entry/exit logic.I've created a comprehensive Pine Script v6 indicator that matches all your specifications! Here's what the script includes:
## **Key Features Implemented:**
### **🔄 Multi-Timeframe Logic**
- **1H Chart Data**: Detects Supply Zones, Demand Zones, and Fair Value Gaps
- **Current Timeframe**: Monitors for re-entry and confirmation signals
### **📊 Zone Detection**
- **Supply Zones**: Identified using pivot highs with configurable strength
- **Demand Zones**: Identified using pivot lows with touch validation
- **Fair Value Gaps**: Both bullish and bearish FVGs detected automatically
- **Auto-Expiry**: Zones expire after 24 hours (configurable)
### **⚡ Entry Logic**
- **Dual Confirmation Required**:
- ✅ Engulfing candle pattern (bullish/bearish)
- ✅ Market structure shift (HH→LL or LL→HH)
- **Zone Re-entry**: Price must be within identified zones/FVGs
### **🎯 Probability System**
- **Smart Scoring**: Based on zone age, strength, and risk/reward ratio
- **Color-Coded**: Green (High), Yellow (Medium), Red (Low)
- **Real-time Calculation**: Updates with each potential entry
### **🎨 Visual Elements**
- **Colored Zones**: Supply (red), Demand (green), FVGs (blue/orange)
- **Entry Labels**: 🟩 LONG / 🟥 SHORT markers
- **Probability Labels**: Display confidence levels
- **Confirmation Shapes**: Triangle indicators for pattern completion
### **⚙️ Manual Controls**
All the requested toggles are available in the settings panel:
- Show/Hide Supply Zones
- Show/Hide Demand Zones
- Show/Hide FVGs
- Show/Hide Labels
- Show/Hide Probability
- Zone strength and expiry settings
- Custom colors for all elements
### **🔔 Alert System**
- Entry opportunity alerts
- Includes probability assessment
- Ticker symbol identification
## **Usage Instructions:**
1. **Apply to 15m chart** for active trading signals
2. **Configure settings** based on your preferences
3. **Set up alerts** for automated notifications
4. **Monitor probability levels** for trade quality assessment
The script automatically handles the complex multi-timeframe analysis while keeping the interface clean and user-friendly. All zones update dynamically and expire appropriately to avoid clutter.
Would you like me to adjust any specific parameters or add additional features?
IFVG ExtendedThis indicator identifies and visualizes "Imbalance Fair Value Gaps" (IFVGs) on a price chart. It highlights these gaps, tracks their evolution, and signals when they are "filled" or "invalidated" by price action. The script is quite advanced, using custom types, arrays, and dynamic drawing.
1. Types and Variables
Custom Types:
lab: Stores label information (x, y, direction).
fvg: Stores Fair Value Gap data, including its boundaries, direction, state, labels, and other properties.
Arrays:
Four arrays track bullish and bearish FVGs, and their "invalidated" (filled) versions.
Signals:
Boolean variables to store if a bullish or bearish signal is triggered.
2. User Inputs and Parameters
Display Settings:
How many recent FVGs to show, signal preference (close or wick), ATR multiplier for gap size filtering, and colors for bullish/bearish/midline.
3. Chart Data
Price Data:
Open, high, low, close, and ATR (Average True Range) are stored for use in calculations.
4. Functions
label_maker:
Draws an up or down arrow label at a given point, colored for bullish or bearish.
fvg_manage:
Checks if any FVGs in the array have been "invalidated" (i.e., price has crossed their boundary). If so, moves them to the invalidated array.
inv_manage:
Manages invalidated FVGs, checking if a signal should be fired (i.e., price has reacted to the gap). Also removes old FVGs.
send_it:
Draws the FVGs and their labels on the chart, using boxes and lines for visualization.
5. Main Logic and Visualization
FVG Detection:
On each bar, checks for new bullish or bearish FVGs based on price action and ATR filter.
Adds new FVGs to the appropriate array.
FVG Management:
Updates the arrays, moves invalidated FVGs, and checks for signals.
Drawing:
On the last bar, clears all previous drawings and redraws the current FVGs and their labels.
6. Alerts
Alert Conditions:
Sets up alerts for when a bullish or bearish IFVG signal is triggered, so users can be notified.
Summary
In short:
This script automatically finds and tracks "Imbalance Fair Value Gaps" on your chart, highlights them, and alerts you when price interacts with them in a significant way. It uses advanced Pine Script features to manage and visualize these zones dynamically, helping traders spot potential reversal or continuation points based on gap theory
Mirror US10YThis TradingView script is designed to automatically detect the asset you are viewing (stock, commodity, or crypto) and, if it matches a long list of supported tickers, overlays a "mirror" subchart. This subchart plots the price action of a related pair—typically the asset divided by the US 10-Year Treasury yield (US10Y), or another relevant macro or sector index. The script also detects and visualizes "Imbalance Fair Value Gaps" (IFVGs) on the subchart, and can trigger alerts when these gaps are filled.
1. Automatic Subchart Detection
The script first checks which symbol you are viewing.
If it matches a list of supported stocks or commodities (e.g., NVDA, TSLA, GOLD), it sets a corresponding subchart pair (e.g., NVDA/US20Y, GOLD/US10Y).
If it’s a crypto asset, it checks both the exchange and the symbol, and sets a subchart like BINANCE:ADAUSDT/US10Y.
If a match is found, it enables plotting for the subchart.
2. Subchart Data Fetching
Once a subchart is selected, the script fetches its OHLCV data (open, high, low, close) and a 200-period ATR (Average True Range) using request.security.
It then plots the subchart’s candlesticks in white (bullish) or red (bearish).
3. IFVG (Imbalance Fair Value Gap) Detection
The script defines custom types and arrays to track bullish and bearish IFVGs and their "invalidation" (when the gap is filled).
It detects IFVGs by looking for price gaps between the current and previous candles, filtered by ATR to avoid noise.
When a gap is detected, it is stored in an array with its coordinates and direction.
4. IFVG Management and Visualization
The script manages the lifecycle of each IFVG: it tracks when a gap is filled (invalidated) and moves it to a separate array.
It draws colored boxes and dashed lines on the chart to visualize the last few IFVGs, using green for bullish and red for bearish.
When a gap is filled, it places a label (▲ or ▼) at the fill point.
5. Alerts
The script sets up two alert conditions: one for a bullish IFVG fill, and one for a bearish IFVG fill.
These can be used to trigger TradingView alerts for trading signals.
6. Debugging and Info Labels
The script displays labels on the chart showing the detected ticker and the subpair being plotted, for clarity.
This indicator is even more reliable when combined with the Mirror 2 indicator, which shows the same system but mostly with the BTC pair in crypto.
Both the Mirror US10Y and Mirror 2 also allow you to see the main inverse pairs in stocks.
Ultimate Market Structure [Alpha Extract]Ultimate Market Structure
A comprehensive market structure analysis tool that combines advanced swing point detection, imbalance zone identification, and intelligent break analysis to identify high-probability trading opportunities.Utilizing a sophisticated trend scoring system, this indicator classifies market conditions and provides clear signals for structure breaks, directional changes, and fair value gap detection with institutional-grade precision.
🔶 Advanced Swing Point Detection
Identifies pivot highs and lows using configurable lookback periods with optional close-based analysis for cleaner signals. The system automatically labels swing points as Higher Highs (HH), Lower Highs (LH), Higher Lows (HL), and Lower Lows (LL) while providing advanced classifications including "rising_high", "falling_high", "rising_low", "falling_low", "peak_high", and "valley_low" for nuanced market analysis.
swingHighPrice = useClosesForStructure ? ta.pivothigh(close, swingLength, swingLength) : ta.pivothigh(high, swingLength, swingLength)
swingLowPrice = useClosesForStructure ? ta.pivotlow(close, swingLength, swingLength) : ta.pivotlow(low, swingLength, swingLength)
classification = classifyStructurePoint(structureHighPrice, upperStructure, true)
significance = calculateSignificance(structureHighPrice, upperStructure, true)
🔶 Significance Scoring System
Each structure point receives a significance level on a 1-5 scale based on its distance from previous points, helping prioritize the most important levels. This intelligent scoring system ensures traders focus on the most meaningful structure breaks while filtering out minor noise.
🔶 Comprehensive Trend Analysis
Calculates momentum, strength, direction, and confidence levels using volatility-normalized price changes and multi-timeframe correlation. The system provides real-time trend state tracking with bullish (+1), bearish (-1), or neutral (0) direction assessment and 0-100 confidence scoring.
// Calculate trend momentum using rate of change and volatility
calculateTrendMomentum(lookback) =>
priceChange = (close - close ) / close * 100
avgVolatility = ta.atr(lookback) / close * 100
momentum = priceChange / (avgVolatility + 0.0001)
momentum
// Calculate trend strength using multiple timeframe correlation
calculateTrendStrength(shortPeriod, longPeriod) =>
shortMA = ta.sma(close, shortPeriod)
longMA = ta.sma(close, longPeriod)
separation = math.abs(shortMA - longMA) / longMA * 100
strength = separation * slopeAlignment
❓How It Works
🔶 Imbalance Zone Detection
Identifies Fair Value Gaps (FVGs) between consecutive candles where price gaps create unfilled areas. These zones are displayed as semi-transparent boxes with optional center line mitigation tracking, highlighting potential support and resistance levels where institutional players often react.
// Detect Fair Value Gaps
detectPriceImbalance() =>
currentHigh = high
currentLow = low
refHigh = high
refLow = low
if currentOpen > currentClose
if currentHigh - refLow < 0
upperBound = currentClose - (currentClose - refLow)
lowerBound = currentClose - (currentClose - currentHigh)
centerPoint = (upperBound + lowerBound) / 2
newZone = ImbalanceZone.new(
zoneBox = box.new(bar_index, upperBound, rightEdge, lowerBound,
bgcolor=bullishImbalanceColor, border_color=hiddenColor)
)
🔶 Structure Break Analysis
Determines Break of Structure (BOS) for trend continuation and Directional Change (DC) for trend reversals with advanced classification as "continuation", "reversal", or "neutral". The system compares pre-trend and post-trend states for each break, providing comprehensive trend change momentum analysis.
🔶 Intelligent Zone Management
Features partial mitigation tracking when price enters but doesn't fully fill zones, with automatic zone boundary adjustment during partial fills. Smart array management keeps only recent structure points for optimal performance while preventing duplicate signals from the same level.
🔶 Liquidity Zone Detection
Automatically identifies potential liquidity zones at key structure points for institutional trading analysis. The system tracks broken structure points and provides adaptive zone extension with configurable time-based limits for imbalance areas.
🔶 Visual Structure Mapping
Provides clear visual indicators including swing labels with color-coded significance levels, dashed lines connecting break points with BOS/DC labels, and break signals for continuation and reversal patterns. The adaptive zones feature smart management with automatic mitigation tracking.
🔶 Market Structure Interpretation
HH/HL patterns indicate bullish market structure with trend continuation likelihood, while LH/LL patterns signal bearish structure with downtrend continuation expected. BOS signals represent structure breaks in trend direction for continuation opportunities, while DC signals warn of potential reversals.
🔶 Performance Optimization
Automatic cleanup of old structure points (keeps last 8 points), recent break tracking (keeps last 5 break events), and efficient array management ensure smooth performance across all timeframes and market conditions.
Why Choose Ultimate Market Structure ?
This indicator provides traders with institutional-grade market structure analysis, combining multiple analytical approaches into one comprehensive tool. By identifying key structure levels, imbalance zones, and break patterns with advanced significance scoring, it helps traders understand market dynamics and position themselves for high-probability trade setups in alignment with smart money concepts. The sophisticated trend scoring system and intelligent zone management make it an essential tool for any serious trader looking to decode market structure with precision and confidence.
Mohammad - OBs, BOS, S/R, Elliott Waves & Trend LinesProfessional Trading Indicator System - Technical Analysis Suite
Overview
Advanced technical analysis system integrating ICT/SMC methodologies with classical analysis tools. Features seven analytical components for comprehensive market structure analysis.
Components
1. Order Blocks (ICT/SMC)
Identifies institutional accumulation/distribution zones acting as future support/resistance.
Detection: Automatic identification based on price rejection patterns
Management: Dynamic updates and removal of invalidated blocks
Configuration: Sensitivity levels (High/Medium/Low), ATR-based parameters
Visual: Green support, red resistance with transparency
2. Break of Structure (BOS)
Detects significant structural breaks indicating trend changes.
Method: 5-bar swing point formation
Display: White horizontal lines with labels
Range: 50-bar maximum lookback
3. Support & Resistance
Classical horizontal levels from significant price pivots.
Analysis: 300-bar historical scan
Filter: 10-point duplicate tolerance
Display: Maximum 15 levels within 5% of current price
4. Fair Value Gaps (FVG)
Price inefficiencies that often get filled on return.
Types: Bullish gaps (up) and bearish gaps (down)
Size: Minimum 0.1 ATR or 5 points
Management: Auto-removal when filled
5. Elliott Wave Analysis
Advanced pattern recognition for impulse and corrective waves.
Patterns: 5-wave impulse (1-2-3-4-5), 3-wave corrective (A-B-C)
Adaptive: Auto-adjusts to timeframe (3-10 depth range)
Display: Small dots with large numbers, starts from hidden point 0
6. 45-Degree Momentum Lines
Revolutionary projection system based on consecutive candle sequences.
Bearish Lines (Red):
Trigger: 5+ consecutive red candles
Start: HIGH of first red candle
Labels: B1-B5
Bullish Lines (Green):
Trigger: 5+ consecutive green candles
Start: LOW of first green candle
Labels: T1-T5
Specifications:
Angle: 45° using ATR * 0.15
Extension: 30 bars forward
Display: 5 most recent patterns
7. Classical Trend Lines
Multi-touch diagonal support/resistance detection.
Validation: Minimum touch requirements
Tolerance: ATR-based touch detection
Display: Blue lines with optional labels
Configuration Summary
Global Settings:
Show/hide each component individually
Customizable colors and line widths
Label size options
Performance:
50-bar periodic cleanup
Maximum object limits (500 each)
Conditional processing on bar close
Trading Applications
Scalping: Order Blocks + FVGs + 45° Lines
Day Trading: All components with BOS emphasis
Swing Trading: Elliott Waves + Trend Lines
Position Trading: Major levels + Elliott Waves
Key Strategies:
Use 45° line bounces for entries
Combine Order Blocks with 45° lines for confluence
Confirm BOS breaks with 45° line violations
Place stops beyond projection lines
Technical Requirements
Platform: TradingView Pine Script v5
Minimum: 300 historical bars
Optimal: 15m-4H timeframes
Performance: Moderate CPU usage
Color Scheme
Green: Bullish/Support (#26a69a)
Red: Bearish/Resistance (#ef5350)
White: BOS/S&R lines
Blue: Elliott Waves/Trend Lines
Customizable: 45° projection lines
Risk Disclaimer
Educational tool only. Not financial advice. Combine with risk management and personal analysis. Past performance doesn't guarantee future results. Trading involves substantial risk.
