Tzotchev Trend Measure [EdgeTools]Are you still measuring trend strength with moving averages? Here is a better variant at scientific level:
Tzotchev Trend Measure: A Statistical Approach to Trend Following
The Tzotchev Trend Measure represents a sophisticated advancement in quantitative trend analysis, moving beyond traditional moving average-based indicators toward a statistically rigorous framework for measuring trend strength. This indicator implements the methodology developed by Tzotchev et al. (2015) in their seminal J.P. Morgan research paper "Designing robust trend-following system: Behind the scenes of trend-following," which introduced a probabilistic approach to trend measurement that has since become a cornerstone of institutional trading strategies.
Mathematical Foundation and Statistical Theory
The core innovation of the Tzotchev Trend Measure lies in its transformation of price momentum into a probability-based metric through the application of statistical hypothesis testing principles. The indicator employs the fundamental formula ST = 2 × Φ(√T × r̄T / σ̂T) - 1, where ST represents the trend strength score bounded between -1 and +1, Φ(x) denotes the normal cumulative distribution function, T represents the lookback period in trading days, r̄T is the average logarithmic return over the specified period, and σ̂T represents the estimated daily return volatility.
This formulation transforms what is essentially a t-statistic into a probabilistic trend measure, testing the null hypothesis that the mean return equals zero against the alternative hypothesis of non-zero mean return. The use of logarithmic returns rather than simple returns provides several statistical advantages, including symmetry properties where log(P₁/P₀) = -log(P₀/P₁), additivity characteristics that allow for proper compounding analysis, and improved validity of normal distribution assumptions that underpin the statistical framework.
The implementation utilizes the Abramowitz and Stegun (1964) approximation for the normal cumulative distribution function, achieving accuracy within ±1.5 × 10⁻⁷ for all input values. This approximation employs Horner's method for polynomial evaluation to ensure numerical stability, particularly important when processing large datasets or extreme market conditions.
Comparative Analysis with Traditional Trend Measurement Methods
The Tzotchev Trend Measure demonstrates significant theoretical and empirical advantages over conventional trend analysis techniques. Traditional moving average-based systems, including simple moving averages (SMA), exponential moving averages (EMA), and their derivatives such as MACD, suffer from several fundamental limitations that the Tzotchev methodology addresses systematically.
Moving average systems exhibit inherent lag bias, as documented by Kaufman (2013) in "Trading Systems and Methods," where he demonstrates that moving averages inevitably lag price movements by approximately half their period length. This lag creates delayed signal generation that reduces profitability in trending markets and increases false signal frequency during consolidation periods. In contrast, the Tzotchev measure eliminates lag bias by directly analyzing the statistical properties of return distributions rather than smoothing price levels.
The volatility normalization inherent in the Tzotchev formula addresses a critical weakness in traditional momentum indicators. As shown by Bollinger (2001) in "Bollinger on Bollinger Bands," momentum oscillators like RSI and Stochastic fail to account for changing volatility regimes, leading to inconsistent signal interpretation across different market conditions. The Tzotchev measure's incorporation of return volatility in the denominator ensures that trend strength assessments remain consistent regardless of the underlying volatility environment.
Empirical studies by Hurst, Ooi, and Pedersen (2013) in "Demystifying Managed Futures" demonstrate that traditional trend-following indicators suffer from significant drawdowns during whipsaw markets, with Sharpe ratios frequently below 0.5 during challenging periods. The authors attribute these poor performance characteristics to the binary nature of most trend signals and their inability to quantify signal confidence. The Tzotchev measure addresses this limitation by providing continuous probability-based outputs that allow for more sophisticated risk management and position sizing strategies.
The statistical foundation of the Tzotchev approach provides superior robustness compared to technical indicators that lack theoretical grounding. Fama and French (1988) in "Permanent and Temporary Components of Stock Prices" established that price movements contain both permanent and temporary components, with traditional moving averages unable to distinguish between these elements effectively. The Tzotchev methodology's hypothesis testing framework specifically tests for the presence of permanent trend components while filtering out temporary noise, providing a more theoretically sound approach to trend identification.
Research by Moskowitz, Ooi, and Pedersen (2012) in "Time Series Momentum in the Cross Section of Asset Returns" found that traditional momentum indicators exhibit significant variation in effectiveness across asset classes and time periods. Their study of multiple asset classes over decades revealed that simple price-based momentum measures often fail to capture persistent trends in fixed income and commodity markets. The Tzotchev measure's normalization by volatility and its probabilistic interpretation provide consistent performance across diverse asset classes, as demonstrated in the original J.P. Morgan research.
Comparative performance studies conducted by AQR Capital Management (Asness, Moskowitz, and Pedersen, 2013) in "Value and Momentum Everywhere" show that volatility-adjusted momentum measures significantly outperform traditional price momentum across international equity, bond, commodity, and currency markets. The study documents Sharpe ratio improvements of 0.2 to 0.4 when incorporating volatility normalization, consistent with the theoretical advantages of the Tzotchev approach.
The regime detection capabilities of the Tzotchev measure provide additional advantages over binary trend classification systems. Research by Ang and Bekaert (2002) in "Regime Switches in Interest Rates" demonstrates that financial markets exhibit distinct regime characteristics that traditional indicators fail to capture adequately. The Tzotchev measure's five-tier classification system (Strong Bull, Weak Bull, Neutral, Weak Bear, Strong Bear) provides more nuanced market state identification than simple trend/no-trend binary systems.
Statistical testing by Jegadeesh and Titman (2001) in "Profitability of Momentum Strategies" revealed that traditional momentum indicators suffer from significant parameter instability, with optimal lookback periods varying substantially across market conditions and asset classes. The Tzotchev measure's statistical framework provides more stable parameter selection through its grounding in hypothesis testing theory, reducing the need for frequent parameter optimization that can lead to overfitting.
Advanced Noise Filtering and Market Regime Detection
A significant enhancement over the original Tzotchev methodology is the incorporation of a multi-factor noise filtering system designed to reduce false signals during sideways market conditions. The filtering mechanism employs four distinct approaches: adaptive thresholding based on current market regime strength, volatility-based filtering utilizing ATR percentile analysis, trend strength confirmation through momentum alignment, and a comprehensive multi-factor approach that combines all methodologies.
The adaptive filtering system analyzes market microstructure through price change relative to average true range, calculates volatility percentiles over rolling windows, and assesses trend alignment across multiple timeframes using exponential moving averages of varying periods. This approach addresses one of the primary limitations identified in traditional trend-following systems, namely their tendency to generate excessive false signals during periods of low volatility or sideways price action.
The regime detection component classifies market conditions into five distinct categories: Strong Bull (ST > 0.3), Weak Bull (0.1 < ST ≤ 0.3), Neutral (-0.1 ≤ ST ≤ 0.1), Weak Bear (-0.3 ≤ ST < -0.1), and Strong Bear (ST < -0.3). This classification system provides traders with clear, quantitative definitions of market regimes that can inform position sizing, risk management, and strategy selection decisions.
Professional Implementation and Trading Applications
The indicator incorporates three distinct trading profiles designed to accommodate different investment approaches and risk tolerances. The Conservative profile employs longer lookback periods (63 days), higher signal thresholds (0.2), and reduced filter sensitivity (0.5) to minimize false signals and focus on major trend changes. The Balanced profile utilizes standard academic parameters with moderate settings across all dimensions. The Aggressive profile implements shorter lookback periods (14 days), lower signal thresholds (-0.1), and increased filter sensitivity (1.5) to capture shorter-term trend movements.
Signal generation occurs through threshold crossover analysis, where long signals are generated when the trend measure crosses above the specified threshold and short signals when it crosses below. The implementation includes sophisticated signal confirmation mechanisms that consider trend alignment across multiple timeframes and momentum strength percentiles to reduce the likelihood of false breakouts.
The alert system provides real-time notifications for trend threshold crossovers, strong regime changes, and signal generation events, with configurable frequency controls to prevent notification spam. Alert messages are standardized to ensure consistency across different market conditions and timeframes.
Performance Optimization and Computational Efficiency
The implementation incorporates several performance optimization features designed to handle large datasets efficiently. The maximum bars back parameter allows users to control historical calculation depth, with default settings optimized for most trading applications while providing flexibility for extended historical analysis. The system includes automatic performance monitoring that generates warnings when computational limits are approached.
Error handling mechanisms protect against division by zero conditions, infinite values, and other numerical instabilities that can occur during extreme market conditions. The finite value checking system ensures data integrity throughout the calculation process, with fallback mechanisms that maintain indicator functionality even when encountering corrupted or missing price data.
Timeframe validation provides warnings when the indicator is applied to unsuitable timeframes, as the Tzotchev methodology was specifically designed for daily and higher timeframe analysis. This validation helps prevent misapplication of the indicator in contexts where its statistical assumptions may not hold.
Visual Design and User Interface
The indicator features eight professional color schemes designed for different trading environments and user preferences. The EdgeTools theme provides an institutional blue and steel color palette suitable for professional trading environments. The Gold theme offers warm colors optimized for commodities trading. The Behavioral theme incorporates psychology-based color contrasts that align with behavioral finance principles. The Quant theme provides neutral colors suitable for analytical applications.
Additional specialized themes include Ocean, Fire, Matrix, and Arctic variations, each optimized for specific visual preferences and trading contexts. All color schemes include automatic dark and light mode optimization to ensure optimal readability across different chart backgrounds and trading platforms.
The information table provides real-time display of key metrics including current trend measure value, market regime classification, signal strength, Z-score, average returns, volatility measures, filter threshold levels, and filter effectiveness percentages. This comprehensive dashboard allows traders to monitor all relevant indicator components simultaneously.
Theoretical Implications and Research Context
The Tzotchev Trend Measure addresses several theoretical limitations inherent in traditional technical analysis approaches. Unlike moving average-based systems that rely on price level comparisons, this methodology grounds trend analysis in statistical hypothesis testing, providing a more robust theoretical foundation for trading decisions.
The probabilistic interpretation of trend strength offers significant advantages over binary trend classification systems. Rather than simply indicating whether a trend exists, the measure quantifies the statistical confidence level associated with the trend assessment, allowing for more nuanced risk management and position sizing decisions.
The incorporation of volatility normalization addresses the well-documented problem of volatility clustering in financial time series, ensuring that trend strength assessments remain consistent across different market volatility regimes. This normalization is particularly important for portfolio management applications where consistent risk metrics across different assets and time periods are essential.
Practical Applications and Trading Strategy Integration
The Tzotchev Trend Measure can be effectively integrated into various trading strategies and portfolio management frameworks. For trend-following strategies, the indicator provides clear entry and exit signals with quantified confidence levels. For mean reversion strategies, extreme readings can signal potential turning points. For portfolio allocation, the regime classification system can inform dynamic asset allocation decisions.
The indicator's statistical foundation makes it particularly suitable for quantitative trading strategies where systematic, rules-based approaches are preferred over discretionary decision-making. The standardized output range facilitates easy integration with position sizing algorithms and risk management systems.
Risk management applications benefit from the indicator's ability to quantify trend strength and provide early warning signals of potential trend changes. The multi-timeframe analysis capability allows for the construction of robust risk management frameworks that consider both short-term tactical and long-term strategic market conditions.
Implementation Guide and Parameter Configuration
The practical application of the Tzotchev Trend Measure requires careful parameter configuration to optimize performance for specific trading objectives and market conditions. This section provides comprehensive guidance for parameter selection and indicator customization.
Core Calculation Parameters
The Lookback Period parameter controls the statistical window used for trend calculation and represents the most critical setting for the indicator. Default values range from 14 to 63 trading days, with shorter periods (14-21 days) providing more sensitive trend detection suitable for short-term trading strategies, while longer periods (42-63 days) offer more stable trend identification appropriate for position trading and long-term investment strategies. The parameter directly influences the statistical significance of trend measurements, with longer periods requiring stronger underlying trends to generate significant signals but providing greater reliability in trend identification.
The Price Source parameter determines which price series is used for return calculations. The default close price provides standard trend analysis, while alternative selections such as high-low midpoint ((high + low) / 2) can reduce noise in volatile markets, and volume-weighted average price (VWAP) offers superior trend identification in institutional trading environments where volume concentration matters significantly.
The Signal Threshold parameter establishes the minimum trend strength required for signal generation, with values ranging from -0.5 to 0.5. Conservative threshold settings (0.2 to 0.3) reduce false signals but may miss early trend opportunities, while aggressive settings (-0.1 to 0.1) provide earlier signal generation at the cost of increased false positive rates. The optimal threshold depends on the trader's risk tolerance and the volatility characteristics of the traded instrument.
Trading Profile Configuration
The Trading Profile system provides pre-configured parameter sets optimized for different trading approaches. The Conservative profile employs a 63-day lookback period with a 0.2 signal threshold and 0.5 noise sensitivity, designed for long-term position traders seeking high-probability trend signals with minimal false positives. The Balanced profile uses a 21-day lookback with 0.05 signal threshold and 1.0 noise sensitivity, suitable for swing traders requiring moderate signal frequency with acceptable noise levels. The Aggressive profile implements a 14-day lookback with -0.1 signal threshold and 1.5 noise sensitivity, optimized for day traders and scalpers requiring frequent signal generation despite higher noise levels.
Advanced Noise Filtering System
The noise filtering mechanism addresses the challenge of false signals during sideways market conditions through four distinct methodologies. The Adaptive filter adjusts thresholds based on current trend strength, increasing sensitivity during strong trending periods while raising thresholds during consolidation phases. The Volatility-based filter utilizes Average True Range (ATR) percentile analysis to suppress signals during abnormally volatile conditions that typically generate false trend indications.
The Trend Strength filter requires alignment between multiple momentum indicators before confirming signals, reducing the probability of false breakouts from consolidation patterns. The Multi-factor approach combines all filtering methodologies using weighted scoring to provide the most robust noise reduction while maintaining signal responsiveness during genuine trend initiations.
The Noise Sensitivity parameter controls the aggressiveness of the filtering system, with lower values (0.5-1.0) providing conservative filtering suitable for volatile instruments, while higher values (1.5-2.0) allow more signals through but may increase false positive rates during choppy market conditions.
Visual Customization and Display Options
The Color Scheme parameter offers eight professional visualization options designed for different analytical preferences and market conditions. The EdgeTools scheme provides high contrast visualization optimized for trend strength differentiation, while the Gold scheme offers warm tones suitable for commodity analysis. The Behavioral scheme uses psychological color associations to enhance decision-making speed, and the Quant scheme provides neutral colors appropriate for quantitative analysis environments.
The Ocean, Fire, Matrix, and Arctic schemes offer additional aesthetic options while maintaining analytical functionality. Each scheme includes optimized colors for both light and dark chart backgrounds, ensuring visibility across different trading platform configurations.
The Show Glow Effects parameter enhances plot visibility through multiple layered lines with progressive transparency, particularly useful when analyzing multiple timeframes simultaneously or when working with dense price data that might obscure trend signals.
Performance Optimization Settings
The Maximum Bars Back parameter controls the historical data depth available for calculations, with values ranging from 5,000 to 50,000 bars. Higher values enable analysis of longer-term trend patterns but may impact indicator loading speed on slower systems or when applied to multiple instruments simultaneously. The optimal setting depends on the intended analysis timeframe and available computational resources.
The Calculate on Every Tick parameter determines whether the indicator updates with every price change or only at bar close. Real-time calculation provides immediate signal updates suitable for scalping and day trading strategies, while bar-close calculation reduces computational overhead and eliminates signal flickering during bar formation, preferred for swing trading and position management applications.
Alert System Configuration
The Alert Frequency parameter controls notification generation, with options for all signals, bar close only, or once per bar. High-frequency trading strategies benefit from all signals mode, while position traders typically prefer bar close alerts to avoid premature position entries based on intrabar fluctuations.
The alert system generates four distinct notification types: Long Signal alerts when the trend measure crosses above the positive signal threshold, Short Signal alerts for negative threshold crossings, Bull Regime alerts when entering strong bullish conditions, and Bear Regime alerts for strong bearish regime identification.
Table Display and Information Management
The information table provides real-time statistical metrics including current trend value, regime classification, signal status, and filter effectiveness measurements. The table position can be customized for optimal screen real estate utilization, and individual metrics can be toggled based on analytical requirements.
The Language parameter supports both English and German display options for international users, while maintaining consistent calculation methodology regardless of display language selection.
Risk Management Integration
Effective risk management integration requires coordination between the trend measure signals and position sizing algorithms. Strong trend readings (above 0.5 or below -0.5) support larger position sizes due to higher probability of trend continuation, while neutral readings (between -0.2 and 0.2) suggest reduced position sizes or range-trading strategies.
The regime classification system provides additional risk management context, with Strong Bull and Strong Bear regimes supporting trend-following strategies, while Neutral regimes indicate potential for mean reversion approaches. The filter effectiveness metric helps traders assess current market conditions and adjust strategy parameters accordingly.
Timeframe Considerations and Multi-Timeframe Analysis
The indicator's effectiveness varies across different timeframes, with higher timeframes (daily, weekly) providing more reliable trend identification but slower signal generation, while lower timeframes (hourly, 15-minute) offer faster signals with increased noise levels. Multi-timeframe analysis combining trend alignment across multiple periods significantly improves signal quality and reduces false positive rates.
For optimal results, traders should consider trend alignment between the primary trading timeframe and at least one higher timeframe before entering positions. Divergences between timeframes often signal potential trend reversals or consolidation periods requiring strategy adjustment.
Conclusion
The Tzotchev Trend Measure represents a significant advancement in technical analysis methodology, combining rigorous statistical foundations with practical trading applications. Its implementation of the J.P. Morgan research methodology provides institutional-quality trend analysis capabilities previously available only to sophisticated quantitative trading firms.
The comprehensive parameter configuration options enable customization for diverse trading styles and market conditions, while the advanced noise filtering and regime detection capabilities provide superior signal quality compared to traditional trend-following indicators. Proper parameter selection and understanding of the indicator's statistical foundation are essential for achieving optimal trading results and effective risk management.
References
Abramowitz, M. and Stegun, I.A. (1964). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. Washington: National Bureau of Standards.
Ang, A. and Bekaert, G. (2002). Regime Switches in Interest Rates. Journal of Business and Economic Statistics, 20(2), 163-182.
Asness, C.S., Moskowitz, T.J., and Pedersen, L.H. (2013). Value and Momentum Everywhere. Journal of Finance, 68(3), 929-985.
Bollinger, J. (2001). Bollinger on Bollinger Bands. New York: McGraw-Hill.
Fama, E.F. and French, K.R. (1988). Permanent and Temporary Components of Stock Prices. Journal of Political Economy, 96(2), 246-273.
Hurst, B., Ooi, Y.H., and Pedersen, L.H. (2013). Demystifying Managed Futures. Journal of Investment Management, 11(3), 42-58.
Jegadeesh, N. and Titman, S. (2001). Profitability of Momentum Strategies: An Evaluation of Alternative Explanations. Journal of Finance, 56(2), 699-720.
Kaufman, P.J. (2013). Trading Systems and Methods. 5th Edition. Hoboken: John Wiley & Sons.
Moskowitz, T.J., Ooi, Y.H., and Pedersen, L.H. (2012). Time Series Momentum. Journal of Financial Economics, 104(2), 228-250.
Tzotchev, D., Lo, A.W., and Hasanhodzic, J. (2015). Designing robust trend-following system: Behind the scenes of trend-following. J.P. Morgan Quantitative Research, Asset Management Division.
In den Scripts nach "breakout" suchen
Extreme Zone Volume ProfileExtreme Zone Volume Profile (EZVP)
Originality & Innovation
The Extreme Zone Volume Profile (EZVP) revolutionizes traditional volume profile analysis by applying statistical zone classification to volume distribution. Unlike standard volume profiles that display raw volume data, EZVP segments the price range into statistically meaningful zones based on percentile thresholds, allowing traders to instantly identify where volume concentration suggests strong support/resistance versus areas of potential breakout.
Technical Methodology
Core Algorithm:
Distributes volume across user-defined bins (20-200) over a lookback period
Calculates volume-weighted price levels for each bin
Applies percentile-based zone classification to the price range (not volume ranking)
Zone B (extreme zones): Outer percentile tails representing potential rejection areas
Zone A (significant zones): Secondary percentile bands indicating strong interest levels
Center Zone: Bulk trading range where most price discovery occurs
Mathematical Foundation:
The script uses price-range percentiles rather than volume percentiles. If the total price range is divided into 100%, Zone B captures the extreme price tails (default 2.5% each end ≈ 2 standard deviations), Zone A captures the next significant bands (default 14% each ≈ 1 standard deviation), leaving the center for normal distribution trading.
Key Calculations:
POC (Point of Control): Price level with maximum volume accumulation
Volume-weighted mean price: Total volume × price / total volume
Median price: Geometric center of the price range
Rightward-projected bars: Volume bars extend forward from current time to avoid historical chart clutter
Trading Applications
Zone Interpretation:
Zone B (Red/Green): Extreme price levels where volume suggests strong rejection potential. Price reaching these zones often indicates overextension and possible reversal points.
Zone A (Orange/Teal): Significant support/resistance areas with substantial volume interest. These levels often act as intermediate targets or consolidation zones.
Center (Gray): Fair value area where most trading occurs. Price tends to return to this range during normal market conditions.
Strategic Usage:
Reversal Trading: Look for rejection signals when price enters Zone B areas
Breakout Confirmation: Volume expansion beyond Zone B boundaries suggests genuine breakouts
Support/Resistance: Zone A boundaries often provide reliable entry/exit levels
Mean Reversion: Price tends to gravitate toward the volume-weighted mean and POC lines
Unique Value Proposition
EZVP addresses three key limitations of traditional volume profiles:
Visual Clarity: Standard profiles can be cluttered and difficult to interpret quickly. EZVP's color-coded zones provide instant visual feedback about price significance.
Statistical Framework: Rather than relying on subjective interpretation of volume nodes, EZVP applies objective percentile-based classification, making support/resistance identification more systematic.
Forward-Looking Display: Rightward-projecting bars keep historical price action clean while maintaining current market structure visibility.
Configuration Guide
Lookback Period (10-1000): Controls the historical depth of volume calculation. Shorter periods for intraday scalping, longer for swing trading.
Number of Bins (20-200): Resolution of volume distribution. Higher values provide more granular analysis but may create noise on lower timeframes.
Zone Percentages:
Zone B: Extreme threshold (default 2.5% = ~2σ statistical significance)
Zone A: Significant threshold (default 14% = ~1σ statistical significance)
Visual Controls: Toggle individual elements (POC, median, mean, zone lines) to customize display complexity for your trading style.
Technical Requirements
Pine Script v6 compatible
Maximum bars back: 5000 (ensures sufficient historical data)
Maximum boxes: 500 (supports high-resolution bin counts)
Maximum lines: 50 (accommodates all zone and reference lines)
This indicator synthesizes volume profile theory with statistical zone analysis, providing a quantitative framework for identifying high-probability support/resistance levels based on volume distribution patterns rather than arbitrary price levels.
Globex Trap w/ percentage [SLICKRICK]Globex Trap w/ Percentage
Overview
The Globex Trap w/ Percentage indicator is a powerful tool designed to help traders identify high-probability trading opportunities by analyzing price action during the Globex (overnight) session and regular trading hours. By combining Globex session ranges with Supply & Demand zones, this indicator highlights potential "trap" areas where significant price reactions may occur. Additionally, it calculates the Globex session range as a percentage of the daily Average True Range (ATR), providing valuable context for assessing market volatility.
This indicator is ideal for traders in futures markets or other instruments traded during Globex sessions, offering a visual and analytical edge for spotting key price levels and potential reversals or breakouts.
Key Features
Globex Session Tracking:
Visualizes the high and low of the Globex session (default: 3:00 PM to 6:30 AM PST) with customizable time settings.
Displays a semi-transparent box to mark the Globex range, with labels for "Globex High" and "Globex Low."
Calculates the Globex range as a percentage of the daily ATR, displayed as a label for quick reference.
Supply & Demand Zones:
Identifies Supply & Demand zones during regular trading hours (default: 6:00 AM to 8:00 AM PST) with customizable time settings.
Draws semi-transparent boxes to highlight these zones, aiding in the identification of key support and resistance areas.
Trap Area Identification:
Highlights potential trap zones where Globex ranges and Supply & Demand zones overlap, indicating areas where price may reverse or consolidate due to trapped traders.
Customizable Settings:
Adjust Globex and Supply & Demand session times to suit your trading preferences.
Toggle visibility of Globex and Supply & Demand zones independently.
Customize box colors for better chart readability.
Set the lookback period (default: 10 days) to control how many historical zones are displayed.
Configure the ATR length (default: 14) for the percentage calculation.
PST Timezone Default:
All times are based on Pacific Standard Time (PST) by default, ensuring accurate session tracking for users in this timezone or those aligning with U.S. West Coast market hours.
Recommended Usage
Timeframes: Best used on 1-hour charts or lower (e.g., 15-minute, 5-minute) for precise entry and exit points.
Markets: Optimized for futures (e.g., ES, NQ, CL) and other instruments traded during Globex sessions.
Historical Data: Ensure at least 10 days of historical data for optimal visualization of zones.
Strategy Integration: Use the indicator to identify potential reversals or breakouts at Globex highs/lows or Supply & Demand zones. The ATR percentage provides context for whether the Globex range is significant relative to typical daily volatility.
How It Works
Globex Session:
Tracks the high and low prices during the user-defined Globex session (default: 3:00 PM to 6:30 AM PST).
When the session ends, a box is drawn from the start to the end of the session, capturing the high and low prices.
Labels are placed at the midpoint of the session, showing "Globex High," "Globex Low," and the range as a percentage of the daily ATR (e.g., "75.23% of Daily ATR").
Supply & Demand Zones:
Tracks the high and low prices during the user-defined regular trading hours (default: 6:00 AM to 8:00 AM PST).
Draws a box to mark these zones, which often act as key support or resistance levels.
ATR Percentage:
Calculates the Globex range (high minus low) and divides it by the daily ATR to express it as a percentage.
This metric helps traders gauge whether the overnight price movement is significant compared to the instrument’s typical volatility.
Time Handling:
Uses PST (UTC-8) for all time calculations, ensuring accurate session timing for users aligning with this timezone.
Properly handles overnight sessions that cross midnight, ensuring seamless tracking.
Input Settings
Globex Session Settings:
Show Globex Session: Enable/disable Globex session visualization (default: true).
Globex Start/End Time: Set the start and end times for the Globex session (default: 3:00 PM to 6:30 AM PST).
Globex Box Color: Customize the color of the Globex session box (default: semi-transparent gray).
Supply & Demand Zone Settings:
Show Supply & Demand Zone: Enable/disable zone visualization (default: true).
Zone Start/End Time: Set the start and end times for Supply & Demand zones (default: 6:00 AM to 8:00 AM PST).
Zone Box Color: Customize the color of the zone box (default: semi-transparent aqua).
General Settings:
Days to Look Back: Number of historical days to display zones (default: 10).
ATR Length: Period for calculating the daily ATR (default: 14).
Notes
All times are in Pacific Standard Time (PST). Adjust the start and end times if your market operates in a different timezone or if you prefer different session windows.
The indicator is optimized for instruments with active Globex sessions, such as futures. Results may vary for non-24/5 markets.
A typo in the label "Globe Low" (should be "Globex Low") will be corrected in future updates.
Ensure your TradingView chart is set to display sufficient historical data to view the full lookback period.
Why Use This Indicator?
The Globex Trap w/ Percentage indicator provides a unique combination of session-based range analysis, Supply & Demand zone identification, and volatility context via the ATR percentage. Whether you’re a day trader, swing trader, or scalper, this tool helps you:
Pinpoint key price levels where institutional traders may act.
Assess the significance of overnight price movements relative to daily volatility.
Identify potential trap zones for high-probability setups.
Customize the indicator to fit your trading style and market preferences.
Polynomial Regression HeatmapPolynomial Regression Heatmap – Advanced Trend & Volatility Visualizer
Overview
The Polynomial Regression Heatmap is a sophisticated trading tool designed for traders who require a clear and precise understanding of market trends and volatility. By applying a second-degree polynomial regression to price data, the indicator generates a smooth trend curve, augmented with adaptive volatility bands and a dynamic heatmap. This framework allows users to instantly recognize trend direction, potential reversals, and areas of market strength or weakness, translating complex price action into a visually intuitive map.
Unlike static trend indicators, the Polynomial Regression Heatmap adapts to changing market conditions. Its visual design—including color-coded candles, regression bands, optional polynomial channels, and breakout markers—ensures that price behavior is easy to interpret. This makes it suitable for scalping, swing trading, and longer-term strategies across multiple asset classes.
How It Works
The core of the indicator relies on fitting a second-degree polynomial to a defined lookback period of price data. This regression curve captures the non-linear nature of market movements, revealing the true trajectory of price beyond the distortions of noise or short-term volatility.
Adaptive upper and lower bands are constructed using ATR-based scaling, surrounding the regression line to reflect periods of high and low volatility. When price moves toward or beyond these bands, it signals areas of potential overextension or support/resistance.
The heatmap colors each candle based on its relative position within the bands. Green shades indicate proximity to the upper band, red shades indicate proximity to the lower band, and neutral tones represent mid-range positioning. This continuous gradient visualization provides immediate feedback on trend strength, market balance, and potential turning points.
Optional polynomial channels can be overlaid around the regression curve. These three-line channels are based on regression residuals and a fixed width multiplier, offering additional reference points for analyzing price deviations, trend continuation, and reversion zones.
Signals and Breakouts
The Polynomial Regression Heatmap includes statistical pivot-based signals to highlight actionable price movements:
Buy Signals – A triangular marker appears below the candle when a pivot low occurs below the lower regression band.
Sell Signals – A triangular marker appears above the candle when a pivot high occurs above the upper regression band.
These markers identify significant deviations from the regression curve while accounting for volatility, providing high-quality visual cues for potential entry points.
The indicator ensures clarity by spacing markers vertically using ATR-based calculations, preventing overlap during periods of high volatility. Users can rely on these signals in combination with heatmap intensity and regression slope for contextual confirmation.
Interpretation
Trend Analysis :
The slope of the polynomial regression line represents trend direction. A rising curve indicates bullish bias, a falling curve indicates bearish bias, and a flat curve indicates consolidation.
Steeper slopes suggest stronger momentum, while gradual slopes indicate more moderate trend conditions.
Volatility Assessment :
Band width provides an instant visual measure of market volatility. Narrow bands correspond to low volatility and potential consolidation, whereas wide bands indicate higher volatility and significant price swings.
Heatmap Coloring :
Candle colors visually represent price position within the bands. This allows traders to quickly identify zones of bullish or bearish pressure without performing complex calculations.
Channel Analysis (Optional) :
The polynomial channel defines zones for evaluating potential overextensions or retracements. Price interacting with these lines may suggest areas where mean-reversion or trend continuation is likely.
Breakout Signals :
Buy and Sell markers highlight pivot points relative to the regression and volatility bands. These are statistical signals, not arbitrary triggers, and should be interpreted in context with trend slope, band width, and heatmap intensity.
Strategy Integration
The Polynomial Regression Heatmap supports multiple trading approaches:
Trend Following – Enter trades in the direction of the regression slope while using the heatmap for momentum confirmation.
Pullback Entries – Use breakouts or deviations from the regression bands as low-risk entry points during trend continuation.
Mean Reversion – Price reaching outer channel boundaries can indicate potential reversal or retracement opportunities.
Multi-Timeframe Alignment – Overlay on higher and lower timeframes to filter noise and improve entry timing.
Stop-loss levels can be set just beyond the opposing regression band, while take-profit targets can be informed by the distance between the bands or the curvature of the polynomial line.
Advanced Techniques
For traders seeking greater precision:
Combine the Polynomial Regression Heatmap with volume, momentum, or volatility indicators to validate signals.
Observe the width and slope of the regression bands over time to anticipate expanding or contracting volatility.
Track sequences of breakout signals in conjunction with heatmap intensity for systematic trade management.
Adjusting regression length allows customization for different assets or timeframes, balancing responsiveness and smoothing. The combination of polynomial curve, adaptive bands, heatmap, and optional channels provides a comprehensive statistical framework for informed decision-making.
Inputs and Customization
Regression Length – Determines the number of bars used for polynomial fitting. Shorter lengths increase responsiveness; longer lengths improve smoothing.
Show Bands – Toggle visibility of the ATR-based regression bands.
Show Channel – Enable or disable the polynomial channel overlay.
Color Settings – Customize bullish, bearish, neutral, and accent colors for clarity and visual preference.
All other internal parameters are fixed to ensure consistent statistical behavior and minimize potential misconfiguration.
Why Use Polynomial Regression Heatmap
The Polynomial Regression Heatmap transforms complex price action into a clear, actionable visual framework. By combining non-linear trend mapping, adaptive volatility bands, heatmap visualization, and breakout signals, it provides a multi-dimensional perspective that is both quantitative and intuitive.
This indicator allows traders to focus on execution, interpret market structure at a glance, and evaluate trend strength, overextensions, and potential reversals in real time. Its design is compatible with scalping, swing trading, and long-term strategies, providing a robust tool for disciplined, data-driven trading.
Ludvig Indicator PROThe Ludvig Indicator is designed to identify high-probability breakout setups by combining trend, volume, volatility, and relative strength filters. It helps you enter stocks (or ETFs/crypto) when institutional money is likely flowing in, while avoiding false breakouts and weak trends.
🔑 Core Features
Zero-Lag EMA (ZLEMA)
Faster, less lagging trend detection compared to traditional EMAs.
Used as the basis for dynamic ATR bands.
ATR Volatility Bands
Adaptive bands based on the Average True Range (ATR).
Define the zone where price must close outside to confirm trend strength.
Breakout Confirmation
Requires price to close above recent highs (lookback configurable).
Ensures signals are “true breakouts,” not just noise around moving averages.
Volume Filter (Relative Volume)
Validates breakouts with significantly higher volume than average.
Prevents low-liquidity signals from triggering.
Trend Strength (ADX)
Built-in ADX calculation ensures only strong, trending moves are considered.
Default filter: ADX ≥ 18 (configurable).
Relative Strength vs. Benchmark
Compares the asset’s momentum against a benchmark (default: SPY).
Only signals when the asset is outperforming the benchmark.
Useful for sector rotation and picking leaders instead of laggards.
Alerts & Signals
Breakout entries are marked with small green triangles.
Built-in alerts for automated notifications (TradingView alerts).
EMA21/SMA21 + ATR Bands SuiteThe EMA/SMA + ATR Bands Suite is a powerful technical overlay built around one of the most universally respected zones in trading: the 21-period moving average. By combining both the EMA21 and SMA21 into a unified framework, this tool defines the short-term mean with greater clarity and reliability, offering a more complete picture of trend structure, directional bias, and price equilibrium. These two moving averages serve as the central anchor — and from them, the script dynamically calculates adaptive ATR bands that expand and contract with market volatility. Whether you trade breakouts, pullbacks, or reversion setups, the 21 midline combined with ATR extensions offers a powerful lens for real-time market interpretation — adaptable to any timeframe or asset.
🔍 What's Inside?
✅ EMA21 + SMA21 Full Plots and Reduced-History Segments using arrays:
Enable full plots or segmented lines for the most recent candles only with automatic color coding. The reduced-history plots are perfect for reducing clutter on your chart.
✅ ATR Bands (2.5x & 5x):
Adaptive ATR-based volatility envelopes plotted around the midline (EMA21 + SMA21) to indicate:
🔸Potential reversion zones.
🔸Trend continuation breakouts.
🔸Dynamic support/resistance levels.
🔸 Expanding or contracting volatility states
🔸 Trend-aware color changes — yellow when both bands are rising, purple when falling, and gray when direction is mixed
✅ Dual MA Fills (EMA21/SMA21):
Visually track when short-term momentum shifts using a fill between EMA21 and SMA21
✅ EMA5 & EMA200 Labels:
Display anchored labels with rounded values + % difference from price, helping you track short-term + macro trends in real-time.
✅ Intelligent Bar Coloring
Bars are automatically colored based on both price direction and position relative to the EMA/SMA. This provides instant visual feedback on trend strength and structural alignment — no need to second-guess the market tone.
✅ Dynamic Close Line Tools:
Track recent price action with flexible close-following lines
✅ RSI Overlay on Candles:
Optional RSI + RSI SMA displayed above the current bar, with automatic color logic.
🎯 Use Cases
➖Trend Traders can identify when price is stacked bullishly across moving averages and breaking above ATR zones.
➖Mean Reversion Traders can fade extremes at 2.5x or 5x ATR zones.
➖Scalpers get immediate trend insight from colored bar overlays and close-following lines.
➖Swing Traders can combine multi-timeframe EMAs with volatility thresholds for higher confluence.
📌 Final Note:
As powerful as this script can be, no single indicator should be used in isolation. For best results, combine it with price action analysis, higher-timeframe context, and complementary tools like trendlines, moving averages, or support/resistance levels. Use it as part of a well-rounded trading approach to confirm setups — not to define them alone.
VSA - The Volume HUDVSA Volume HUD: Your At-a-Glance Volume Dashboard
Tired of cluttered charts with multiple indicators taking up screen space?
The VSA Volume HUD is a clean, powerful, and fully customisable Heads-Up Display that puts all the critical volume and price action data you need into one compact box, right on your chart.
Designed for traders who rely on Volume Spread Analysis (VSA), this tool helps you instantly gauge the strength, conviction, and context behind every price move as it happens.
Key Features
This indicator isn't just about showing the current volume; it provides a comprehensive, real-time analysis of the market's activity.
Real-time VSA Dashboard: A persistent on-screen table that updates with every tick, giving you instant feedback without needing to look away from the price. The HUD is fully draggable (hold Ctrl/Cmd + click and drag) to place it anywhere you like.
Essential Volume Metrics:
Current Volume: Displayed in a clean, abbreviated format (e.g., 1.25M for millions, 54.3K for thousands).
% Change (vs. Previous Bar): Instantly see if volume is expanding or contracting.
Vs Short-Term Average: Compare the current bar's volume to a moving average to spot unusual spikes.
Volume Velocity: Measures the rate of change in volume over a short period, helping you spot acceleration or deceleration in market interest.
Relative Volume (RVOL): See how the current volume compares to the average for that specific time of day, perfect for identifying abnormally high or low activity.
Price Action & Volatility Context:
Range vs. ATR: Quickly determine if the current bar's volatility is expanding or contracting compared to the recent average.
Price vs. VWAP: See how far the current price has deviated from the session's Volume-Weighted Average Price, a key level for institutional traders.
Deep Customization is Key
Tailor the HUD to perfectly match your trading style and chart aesthetic.
Display & Layout:
Compact Mode: Remove the metric labels for a sleek, minimalist view that saves screen space.
Bar Meters: Enable optional visual bars next to key metrics for a quick, graphical representation of strength.
Total Control: Toggle every single metric on or off to build the exact dashboard you need. Adjust text size, position, and background opacity with ease.
Smart Coloring & Visual Alerts:
Advanced VSA Coloring: This isn't just about up/down candles. The script intelligently colors volume based on confluence. It highlights increasing volume on a strong up-bar (bullish confirmation) or increasing volume on a down-bar (potential climax or distribution), giving you a deeper VSA context.
High Volume Highlight: Make standout bars impossible to miss! The entire HUD background can change color automatically when volume surges past a custom threshold (e.g., over 150% of the average), instantly drawing your attention to critical moments.
Full Color Customization: Change every color to match your chart's theme, including separate colors for bullish/bearish moves, the background, and the border.
How to Use It
The VSA Volume HUD is a powerful confirmation tool. Use it to:
Confirm Breakouts: Look for a spike in Volume vs. Average and RVOL as price breaks a key level.
Spot Exhaustion: Notice high volume on a narrow-range candle after a long trend, visible through the Range/ATR metric.
Gauge Conviction: Use the Advanced Coloring to see if volume is supporting the price move (e.g., green volume on a green candle) or diverging from it.
Multi-Band Trend LineThis Pine Script creates a versatile technical indicator called "Multi-Band Trend Line" that builds upon the concept of the popular "Follow Line Indicator" by Dreadblitz. While the original Follow Line Indicator uses simple trend detection to place a line at High or Low levels, this enhanced version combines multiple band-based trading strategies with dynamic trend line generation. The indicator supports five different band types and provides more sophisticated buy/sell signals based on price breakouts from various technical analysis bands.
Key Features
Multi-Band Support
The indicator supports five different band types:
- Bollinger Bands: Uses standard deviation to create bands around a moving average
- Keltner Channels: Uses ATR (Average True Range) to create bands around a moving average
- Donchian Channels: Uses the highest high and lowest low over a specified period
- Moving Average Envelopes: Creates bands as a percentage above and below a moving average
- ATR Bands: Uses ATR multiplier to create bands around a moving average
Dynamic Trend Line Generation (Enhanced Follow Line Concept)
- Similar to the Follow Line Indicator, the trend line is placed at High or Low levels based on trend direction
- Key Enhancement: Instead of simple trend detection, this version uses band breakouts to trigger trend changes
- When price breaks above the upper band (bullish signal), the trend line is set to the low (optionally adjusted with ATR) - similar to Follow Line's low placement
- When price breaks below the lower band (bearish signal), the trend line is set to the high (optionally adjusted with ATR) - similar to Follow Line's high placement
- The trend line acts as dynamic support/resistance, following the price action more precisely than the original Follow Line
ATR Filter (Follow Line Enhancement)
- Like the original Follow Line Indicator, an ATR filter can be selected to place the line at a more distance level than the normal mode settled at candles Highs/Lows
- When enabled, it adds/subtracts ATR value to provide more conservative trend line placement
- Helps reduce false signals in volatile markets
- This feature maintains the core philosophy of the Follow Line while adding more precision through band-based triggers
Signal Generation
- Buy Signal: Generated when trend changes from bearish to bullish (trend line starts rising)
- Sell Signal: Generated when trend changes from bullish to bearish (trend line starts falling)
- Signals are displayed as labels on the chart
Visual Elements
- Upper and lower bands are plotted in gray
- Trend line changes color based on direction (green for bullish, red for bearish)
- Background color changes based on trend direction
- Buy/sell signals are marked with labeled shapes
How It Works
Band Calculation: Based on the selected band type, upper and lower boundaries are calculated
Signal Detection: When price closes above the upper band or below the lower band, a breakout signal is generated
Trend Line Update: The trend line is updated based on the breakout direction and previous trend line value
Trend Direction: Determined by comparing current trend line with the previous value
Alert Generation: Buy/sell conditions trigger alerts and visual signals
Use Cases
Enhanced trend following strategies: More precise than basic Follow Line due to band-based triggers
Breakout trading: Multiple band types provide various breakout opportunities
Dynamic support/resistance identification: Combines Follow Line concept with band analysis
Multi-timeframe analysis with different band types: Choose the most suitable band for your timeframe
Reduced false signals: Band confirmation provides better entry/exit points compared to simple trend following
ORB & Sessions [Capitalize Labs]ORB & Sessions Indicator
The ORB & Sessions Indicator provides a structured way to analyze intraday price action by combining two well-established concepts: global trading sessions and Opening Range Breakouts (ORB). It is designed to help traders identify where liquidity forms, when volatility expands, and how price behaves around key session and range levels.
Market Sessions Framework
Displays New York, London, and Asian sessions directly on the chart.
Each session can be shown as a highlighted background zone, or with extended highs and lows for liquidity tracking.
Session highs and lows remain projected forward after the session ends, allowing traders to monitor sweeps, retests, and reactions throughout the day.
Session times are fully customizable and can be aligned with the trader’s own timezone or broker feed.
This structure helps traders place price action into context, whether during quiet Asian trading, London-driven volatility, or New York reversals.
Opening Range Breakouts (ORB)
Supports three independent ORBs, each with configurable session times.
During the defined ORB window, the indicator captures the high and low of the range and plots a live updating box.
Once the ORB closes, the range locks and projects breakout targets (T1 and T2) based on user-defined risk-to-reward multiples.
Alerts are included for breakouts of highs, lows, or target levels.
Traders can use a single ORB or multiple—for example, tracking an Asian ORB into London, or London into New York.
Visualization and Clarity
Color-coded boxes and levels for sessions and ORBs.
Labels such as “Range High” and “Range Low” ensure clarity without clutter.
Flexible display settings allow highlighting full zones, just lines, or minimal markers depending on preference.
Practical Applications
This indicator is useful for:
Liquidity and volatility analysis: Observe where session highs and lows form and how they influence later trading.
Breakout and reversal strategies: Use ORB ranges to define risk and plan target projections.
Time-based research: Explore how different session overlaps or ORBs affect markets like indices, FX, and commodities.
Risk planning: Built-in R-multiple targets provide a consistent framework for evaluating setups.
Why It’s Different
Instead of showing sessions and ORBs separately, this indicator integrates them into one framework. Traders can:
See when and where sessions open and establish range levels.
Define precise ORBs with customizable timing.
Track breakout levels and targets in real time with alerts.
The result is a clear, time-structured view of the trading day, helping traders align setups with session dynamics and opening range behavior.
This indicator does not generate buy or sell signals. It is an analytical and visualization tool, providing structure for traders to better interpret intraday price action.
Intraday Spark Chart [AstrideUnicorn]The Intraday Spark Chart (ISC) is a minimalist yet powerful tool designed to track an asset’s performance relative to its daily opening price. Inspired by Nasdaq's trading-floor analog dashboards, it visualizes intraday percentage changes as a color-coded sparkline, helping traders quickly gauge momentum and session bias.
Ideal for: Day trading, scalping, and multi-asset monitoring.
Best paired with: 1m to 4H timeframes (auto-warns on higher TFs).
Key metrics:
Real-time % change from daily open.
Final daily % change (updated at session close).
Daily open price labels for orientation.
HOW TO USE
Visual Guide
Sparkline Plot:
A green area/line indicates price is above the daily open (bullish).
A red area/line signals price is below the daily open (bearish).
The baseline (0%) represents the daily open price.
Session Markers:
The dotted vertical lines separate trading days.
Gray labels near the baseline show the exact daily open price at the start of each session.
Dynamic Labels:
The labels in the upper left corner of each session range display the current (or final) daily % change. Color matches the trend (green/red) for instant readability.
Practical Use Cases
Opening Range Breakouts: Spot early momentum by observing how price reacts to the daily open.
Multi-Asset Screening: Compare intraday strength across symbols by choosing an asset in the indicator settings panel.
Session Close Prep: Anticipate daily settlement by tracking the final % change (useful for futures/swing traders).
SETTINGS
Asset (Input Symbol) : Defaults to the current chart symbol. Choose any asset to monitor its price action without switching charts - ideal for intermarket analysis or correlation tracking.
XAUUSD Strength Dashboard with VolumeXAUUSD Strength Dashboard with Volume Analysis
📌 Description
This advanced Pine Script indicator provides a multi-timeframe dashboard for XAUUSD (Gold vs. USD), combining price action analysis with volume confirmation to generate high-probability trading signals. It detects:
✅ Break of Structure (BOS)
✅ Fair Value Gaps (FVG)
✅ Change of Character (CHOCH)
✅ Trendline Breaks (9/21 SMA Crossover)
✅ Volume Spikes (Confirmation of Strength)
The dashboard displays strength scores (0-100%) and action recommendations (Strong Buy/Buy/Neutral/Sell/Strong Sell) across multiple timeframes, helping traders identify confluences for better trade decisions.
🎯 How It Works
1. Multi-Timeframe Analysis
Fetches data from 1m, 5m, 15m, 30m, 1h, 4h, Daily, and Weekly timeframes.
Compares trend direction, BOS, FVG, CHOCH, and volume spikes across all timeframes.
2. Volume-Confirmed Strength Score
The Strength Score (0-100%) is calculated using:
Trend Direction (25 points) → 9 SMA vs. 21 SMA
Break of Structure (20 points) → New highs/lows with momentum
Fair Value Gaps (10 points) → Imbalance zones
Change of Character (10 points) → Shift in market structure
Trendline Break (20 points) → SMA crossover confirmation
Volume Spike (15 points) → High volume confirms moves
Score Interpretation:
≥75% → Strong Buy (High confidence bullish move)
60-74% → Buy (Bullish but weaker confirmation)
40-59% → Neutral (No strong bias)
25-39% → Sell (Bearish but weaker confirmation)
≤25% → Strong Sell (High confidence bearish move)
3. Dashboard & Chart Markers
Dashboard Table: Shows Trend, BOS, Volume, CHOCH, TL Break, Strength %, Key Level, and Action for each timeframe.
Chart Markers:
🟢 Green Triangles → Bullish BOS
🔴 Red Triangles → Bearish BOS
🟢 Green Circles → Bullish CHOCH
🔴 Red Circles → Bearish CHOCH
📈 Green Arrows → Bullish Trendline Break
📉 Red Arrows → Bearish Trendline Break
"Vol↑" (Lime) → Bullish Volume Spike
"Vol↓" (Maroon) → Bearish Volume Spike
🚀 How to Use
1. Dashboard Interpretation
Higher Timeframes (D/W) → Show the dominant trend.
Lower Timeframes (1m-4h) → Help with entry timing.
Strength Score ≥75% or ≤25% → Look for high-confidence trades.
Volume Spikes → Confirm breakouts/reversals.
2. Trading Strategy
📈 Long (Buy) Setup:
Higher TFs (D/W/4h) show bullish trend (↑).
Current TF has BOS & Volume Spike.
Strength Score ≥60%.
Key Level (Low) holds as support.
📉 Short (Sell) Setup:
Higher TFs (D/W/4h) show bearish trend (↓).
Current TF has BOS & Volume Spike.
Strength Score ≤40%.
Key Level (High) holds as resistance.
3. Customization
Adjust Volume Spike Multiplier (Default: 1.5x) → Controls sensitivity to volume spikes.
Toggle Timeframes → Enable/disable higher/lower timeframes.
🔑 Key Benefits
✔ Multi-Timeframe Confluence → Avoids false signals.
✔ Volume Confirmation → Filters low-quality breakouts.
✔ Clear Strength Scoring → Removes emotional bias.
✔ Visual Chart Markers → Easy to spot key signals.
This indicator is ideal for gold traders who follow institutional order flow, market structure, and volume analysis to improve their trading decisions.
🎯 Best Used With:
Support/Resistance Levels
Fibonacci Retracements
Price Action Confirmation
🚀 Happy Trading! 🚀
Regime KaleidoscopeWhat is Regime Kaleidoscope?
Regime Kaleidoscope is an advanced market regime visualizer and adaptive signal generator.
It helps traders instantly understand whether current market conditions are best for mean-reversion (fading price back to the mean) or breakout/trend-following (riding strong moves), using a data-driven, non-repainting approach.
How It Works
1. Regime Detection & Background Colors
The indicator analyzes both volatility (ATR) and the shape of each candle (body size vs. range) over a rolling window.
Each bar is classified into one of three regimes, and the chart’s background color changes accordingly:
Regime Background Color What It Means How to Use
Low Vol Balanced Green background Market is calm, compressed. More likely to revert back to mean. Look for mean-reversion signals only (fade moves).
High Vol Directional Red background Market is in a high-volatility, trending, or “breakout” state.
Red does NOT mean bearish. It simply means conditions are ripe for strong directional moves—either up or down. Look for breakout signals only (ride strong moves after structure break).
Chop Gray background Market is indecisive or transitioning between states. Signals are minimized or blocked. Best to wait or trade with extra caution.
→ Red background means high volatility/trending regime, not a signal direction!
Green means “mean-revert environment,” not always bullish!
Gray means “chop/transition”—usually best avoided.
2. Signals — How to Read and Trade Them
Mean-Reversion Signals (Green Regime Only):
Appear when price is stretched away from a rolling mean (SMA) by a configurable ATR-based threshold.
Optional: Only allowed in the direction of the higher-timeframe trend, if enabled.
Long signals: Fade extreme dips (look for triangle-up shapes & green labels).
Short signals: Fade extreme spikes (triangle-down shapes & red labels).
Labels show signal strength (distance from mean in ATR units).
Breakout Signals (Red Regime Only):
Only triggered when price breaks above or below a confirmed swing high or low (pivot), with a strong candle and optional trend confirmation.
Long signals: Breakout above last swing high (regardless of background color).
Short signals: Breakout below last swing low.
Labels show signal strength (distance from pivot in ATR units).
Red background does NOT mean sell— it means “trend environment”—so both long and short signals are possible, depending on which direction price is breaking out.
Signal Controls & Filtering:
Signals only fire at bar close (non-repainting), never intrabar or on future data.
ATR “floor” blocks signals when volatility is too low for meaningful moves.
Cooldown: Signals are limited to one per regime per direction for a minimum number of bars (user input).
Optional confirmation candles: Only strong reversals or breakouts count, reducing noise and whipsaws.
All signals are visible as triangle shapes below/above bars, and labeled with strength.
3. Visual Guide
Background color: Maps the regime, not buy/sell direction.
Transition label: Appears only when the regime changes, so you can see state shifts at a glance.
Triangle shapes & labels: Mark entry points; label gives strength.
Info table (optional): Shows regime and ATR at transitions.
Why is Regime Kaleidoscope Unique?
Uses rolling statistical percentiles of ATR and candle body shape for dynamic market state detection—not just a moving average or volatility band.
Separates regime from signal direction, so you always know “what mode the market is in” and when signals actually have a higher probability.
No repainting. All logic is strictly bar-close, confirmed pivots, and non-future-leaking.
Highly customizable—all thresholds, filters, trend confirmation, and cooldown are user inputs.
How To Use
Add to any chart.
Use the background color to identify if you’re in a mean-revert, breakout, or chop regime.
Take only the signals that match the regime:
Green = fade extremes, Red = ride breakouts, Gray = wait.
Tune settings for your asset and timeframe.
All signals are educational—always test before live use!
Past performance is not necessarily indicative of future results.
Test the indicator on your assets and timeframes. All signals are for educational use only.
Kalman Supertrend (High vs Low) Bands Inspired by BackQuant, this script modifies the original Kalman Hull Supertrend by replacing the close price with High and Low sources. This creates clearer trend definition and better trend tracking.
This is one of the best trend indicators that can be used for trend trading or to capture reversals with high clarity.
Key Features:
Kalman High/Low Bands — Smooths market noise while separating bullish and bearish zones.
BB & SS Alerts — Triggered only when the entire candle closes outside both bands, helping filter out false breakouts.
Supertrend (optional) — Can be toggled on/off to monitor potential short-term or early trend shifts.
Customizable Display — Show/hide bands, fills, and live candle coloring for chart clarity.
Reversal Insight:
For 4H and Daily charts, reversal signals appear to be quite accurate when the price retests the trend bands before continuing the move.
How to Use:
BB appears when a candle fully closes above both High/Low Kalman bands — possible bullish breakout.
SS appears when a candle fully closes below both bands — possible bearish breakdown.
Supertrend toggle can confirm shorter-term moves or early reversals.
Credit to the original script BackQuant
Volume Based Analysis V 1.00
Volume Based Analysis V1.00 – Multi-Scenario Buyer/Seller Power & Volume Pressure Indicator
Description:
1. Overview
The Volume Based Analysis V1.00 indicator is a comprehensive tool for analyzing market dynamics using Buyer Power, Seller Power, and Volume Pressure scenarios. It detects 12 configurable scenarios combining volume-based calculations with price action to highlight potential bullish or bearish conditions.
When used in conjunction with other technical tools such as Ichimoku, Bollinger Bands, and trendline analysis, traders can gain a deeper and more reliable understanding of the market context surrounding each signal.
2. Key Features
12 Configurable Scenarios covering Buyer/Seller Power convergence, divergence, and dominance
Advanced Volume Pressure Analysis detecting when both buy/sell volumes exceed averages
Global Lookback System ensuring consistency across all calculations
Dominance Peak Module for identifying strongest buyer/seller dominance at structural pivots
Real-time Signal Statistics Table showing bullish/bearish counts and volume metrics
Fully customizable inputs (SMA lengths, multipliers, timeframes)
Visual chart markers (S01 to S12) for clear on-chart identification
3. Usage Guide
Enable/Disable Scenarios: Choose which signals to display based on your trading strategy
Fine-tune Parameters: Adjust SMA lengths, multipliers, and lookback periods to fit your market and timeframe
Timeframe Control: Use custom lower timeframes for refined up/down volume calculations
Combine with Other Indicators:
Ichimoku: Confirm volume-based bullish signals with cloud breakouts or trend confirmation
Bollinger Bands: Validate divergence/convergence signals with overbought/oversold zones
Trendlines: Spot high-probability signals at breakout or retest points
Signal Tables & Peaks: Read buy/sell volume dominance at a glance, and activate the Dominance Peak Module to highlight key turning points.
4. Example Scenarios & Suggested Images
Image #1 – S01 Bullish Convergence Above Zero
S01 activated, Buyer Power > 0, both buyer power slope & price slope positive, above-average buy volume. Show S01 ↑ marker below bar.
Image #2 – Combined with Ichimoku
Display a bullish scenario where price breaks above Ichimoku cloud while S01 or S09 bullish signal is active. Highlight both the volume-based marker and Ichimoku cloud breakout.
Image #3 – Combined with Bollinger Bands & Trendlines
Show a bearish S10 signal at the upper Bollinger Band near a descending trendline resistance. Highlight the confluence of the volume pressure signal with the band touch and trendline rejection.
Image #4 – Dominance Peak Module
Pivot low with green ▲ Bull Peak and pivot high with red ▼ Bear Peak, showing strong dominance counts.
Image #5 – Statistics Table in Action
Bottom-left table showing buy/sell volume, averages, and bullish/bearish counts during an active market phase.
5. Feedback & Collaboration
Your feedback and suggestions are welcome — they help improve and refine this system. If you discover interesting use cases or have ideas for new features, please share them in the script’s comments section on TradingView.
6. Disclaimer
This script is for educational purposes only. It is not financial advice. Past performance does not guarantee future results. Always do your own analysis before making trading decisions.
Tip: Use this tool alongside trend confirmation indicators for the most robust signal interpretation.
Elliott Wave Auto Detector (Simplified)How to Use the Detector
Identify Structure: Look for sequences like 1-2-1-2...
These may show a forming or ongoing Elliott wave pattern.
Validate Trend: Multiple red 2’s at lower highs suggests a bearish trend; the reverse with blue 1’s at higher lows is bullish.
Trading Zones:
Consider buying near clusters of blue 1’s (support zones).
Consider selling or shorting near clusters of red 2’s (resistance zones).
Look for Breakouts: If price breaks out of the descending channel, trend may reverse or accelerate.
Pivot and Wick Boxes with Break Signals█ OVERVIEW
This Pine Script® indicator draws support and resistance levels based on high and low pivot points and the wicks of pivot candles. When the price breaks these levels, breakout signals are generated, with an optional volume filter for greater precision. The indicator is fully customizable, allowing users to adjust box styles, pivot length, and signal settings.
█ CONCEPTS
The indicator relies on several key elements to identify and visualize important price levels and trading signals:
Pivot Identification
High and low pivots are detected using the ta.pivothigh and ta.pivotlow functions with a configurable pivot length. Boxes are drawn based on the pivot level and the wick of the pivot candle (top for high pivots, bottom for low pivots).
List of Features
1 — High and Low Pivot Boxes: The indicator draws boxes based on high pivot candles (red) and low pivot candles (green) and their wicks, with options to customize colors, border styles, and background gradient. Boxes are limited to 500 bars back, meaning support and resistance levels older than 500 candles are not displayed to maintain chart clarity.
2 — Breakout Signals: When the price closes above the upper edge of a high pivot box, a breakout signal is generated (green triangle below the bar). When the price closes below the lower edge of a low pivot box, a breakout signal is generated (red triangle above the bar).
Signals can be filtered using volume, requiring the volume at the breakout to exceed the average volume multiplied by a configurable multiplier.
3 — Box Management: The indicator limits the number of displayed boxes (default is 15 for high pivots and 15 for low pivots), removing the oldest boxes when the limit is reached. Boxes older than 500 bars are automatically removed.
Volume Filtering
An optional volume filter allows users to require breakout signals to be confirmed by volume exceeding the moving average of volume (calculated over a selected period, default is 20 days).
█ OTHER SECTIONS
FEATURES
• Show High/Low Pivot Boxes: Enables or disables the display of boxes for high and low pivots.
• Pivot Length: Specifies the number of bars back and forward for detecting pivots (default is 5).
• Max Boxes: Sets the maximum number of boxes for high and low pivots (default is 15).
• Volume Filter: Enables a volume filter for breakout signals, with a configurable multiplier and average period.
• Box Style: Allows customization of border color, background gradient, border width, and border style (solid, dashed, dotted).
HOW TO USE
1 — Add the indicator to your TradingView chart by selecting “Pivot and Wick Boxes with Break Signals” from the indicators list.
2 — Configure the settings in the indicator’s dialog window, adjusting pivot length, maximum number of boxes, colors, and style.
3 — Enable the volume filter if you want signals to be confirmed by high volume.
4 — Monitor breakout signals (green triangles below bars for upward breakouts, red triangles above bars for downward breakouts) on the chart.
LIMITATIONS
• New pivots are detected with a delay equal to the set pivot length. A lower pivot length value results in faster pivot detection but produces pivots with less significance as support or resistance levels compared to those generated with a longer value.
• Breakout signals may produce false signals in volatile market conditions, especially without the volume filter.
• Boxes are limited to 500 bars back, which may exclude older pivots on long-term charts.
HSI1! First 30m Candle Strategy (15m Chart)## HSI1! First 30-Minute Candle Breakout Strategy (15m Chart) — Description
### Overview
This strategy is designed for trading **Hang Seng Index (HSI) Futures** on a 15-minute chart. It uses the price range established during the first 30 minutes of the Hong Kong main session (09:15–09:44:59) to define key breakout levels for a systematic trade entry each day.
### How the Strategy Works
#### 1. Reference Candle Period
- **Aggregation Window:** The strategy monitors the first two 15-minute bars of the session (09:15:00–09:44:59 HKT).
- **Range Capture:** It records the highest and lowest prices (the "reference high/low") during this window.
#### 2. Trade Setup
- After the 09:45 bar completes, the reference range is locked in.
- Throughout the rest of the trading day (within session hours), the strategy looks for breakouts beyond the reference range.
#### 3. Entry Rules
- **Long Entry (Buy):**
- Triggered if price rises to or above the reference high.
- Only entered if the user's settings permit "Buy Only" or "Both".
- **Short Entry (Sell):**
- Triggered if price falls to or below the reference low.
- Only entered if the user's settings permit "Sell Only" or "Both".
- **Single trade per day:**
- Once any trade executes, no additional trades are opened until the next session.
#### 4. Exit Rules
- **Take Profit (TP):**
- Target profit is set to a distance equal to the initial range added above the long entry (or subtracted below the short entry).
- Example: For a 100-point range, a long trade targets entry + 100 points.
- **Stop Loss (SL):**
- Longs are stopped out if price falls back to the session's reference low; shorts are stopped out if price rallies to the reference high.
#### 5. Session Control
- Active only within the regular day session (09:15–12:00 and 13:00–16:00 HKT).
- Trade tracking resets each new trading day.
#### 6. Trade Direction Manual Setting
- A user input allows restriction to "Buy Only", "Sell Only" or "Both" directions, providing discretion over daily bias.
### Example Workflow
| Step | Action |
|---------------------------|-------------------------------------------------------------------------|
| 09:15–09:44 | Aggregate first two 15m candles; record daily high/low |
| After 09:45 | Wait for a breakout (price crossing either the high or the low) |
| Long trade triggered | Enter at the reference high, target is "high + range", SL is at the low |
| Short trade triggered | Enter at the reference low, target is "low - range", SL at the high |
| Trade management | No more trades for the day, regardless of further breakouts |
| End of session (if open) | Trades may be closed per further logic or left to strategy to handle |
### Key Features and Benefits
- **Discipline:** Only one trade per day, minimizing overtrading.
- **Clarity:** Transparent entry/exit rules; no discretionary execution.
- **Flexibility:** User can bias system to buy-only, sell-only, or allow both, depending on trend or personal view.
- **Simple Risk Control:** Pre-defined stop loss and profit target for every trade.
- **Works best in:** Trending, breakout-prone markets with a history of impulsive moves early in the session.
This strategy is ideal for systematic traders looking to capture the Hang Seng's early session momentum, with robust rule-based management and minimal intervention.
The Kyber Cell's – TTM Squeeze ProThe Kyber Cell’s TTM Squeeze Pro
TTM Squeeze + ALMA + VWAP for Precision Trade Timing
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1. Introduction
Kyber Cell’s Squeeze Pro is a comprehensive, all-in-one overlay indicator built on top of John Carter’s famous TTM Squeeze concept. It integrates advanced momentum and trend analysis using Arnaud Legoux Moving Averages (ALMA), a scroll-aware VWAP with optional deviation bands, and a clean, user-friendly visual system. The goal is simple: give traders a clear and configurable chart that identifies price compression, detects release moments, confirms direction, and helps manage risk and reward visually and effectively.
This tool is intended for traders of all styles — scalpers, swing traders, or intraday strategists — looking for cleaner signals, better visual cues, and more confidence in entry/exit timing.
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2. Core Concepts
At its heart, the Squeeze Pro builds an in-chart visualization of the TTM Squeeze, a strategy that identifies when price volatility compresses inside a Bollinger Band that is narrower than a Keltner Channel. These moments often precede explosive breakouts. This version categorizes squeezes into three levels of compression:
• Blue Dot – Low Compression
• Orange Dot – Medium Compression
• Red Dot – High Compression
When the squeeze “fires” (i.e., the Bollinger Bands expand beyond all Keltner thresholds), the indicator flips to a Green Dot, signaling potential entry if confirmed by trend direction.
The indicator also includes a momentum model using linear regression on smoothed price deviation to determine directional bias. Momentum is further reinforced by a customizable trend engine, allowing you to switch between EMA-21 or HMA 34/144 logic.
An ALMA ribbon is plotted across the chart to represent smoothed trend strength with minimal lag, and a scroll-aware VWAP (Volume-Weighted Average Price) line, optionally with ±σ bands, helps confirm mean-reversion or momentum continuation setups.
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3. Visual Components
Squeeze Pro replaces the traditional histogram with bar coloring logic based on your selected overlay mode:
• Momentum Mode colors bars based on whether momentum is rising or falling and in which direction (aqua/blue for bullish, red/yellow for bearish).
• Trend Mode colors bars using EMA or HMA logic to identify whether price is in a bullish, bearish, or neutral trend state.
A colored backdrop is triggered when a squeeze fires and momentum direction is confirmed. It remains green for bullish runs and red for bearish runs. The background disappears when the trend exhausts or reverses.
Each squeeze level (low, medium, high) is plotted as tiny dots above or below candles, with configurable colors. On the exact bar where the squeeze fires, the indicator optionally plots entry markers — either arrows or triangles — which can be placed with adjustable padding using ATR. These provide an at-a-glance signal of possible long or short entries.
EXPERIMENTAL : For risk and reward management, protective stop lines and limit targets can be toggled on. Stops are calculated using either recent swing highs/lows or a fixed ATR multiple, depending on user preference. Limit targets are calculated from entry price using ATR-based projections.
All colors are customizable.
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4. Multi-Timeframe Squeeze Panel
An optional MTF Squeeze Panel appears in the top-right corner of the chart, displaying the squeeze status across multiple timeframes — from 1-minute to Monthly. Each timeframe is color-coded:
• Red for High Compression
• Orange for Medium Compression
• Blue for Low Compression
• Yellow for Open/No Compression
This provides rapid context for whether multiple timeframes are simultaneously compressing (a common precursor to explosive moves), helping traders align higher- and lower-timeframe signals. Colors are customizable.
The MTF panel dynamically adjusts to chart space and only renders the selected intervals for clarity and performance.
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5. Inputs and Configuration Options
Squeeze Pro offers a rich configuration suite:
• Squeeze Settings: Control the Bollinger Band standard deviation, and three separate Keltner Channel multipliers (for low, medium, and high compression zones).
• ALMA Controls: Adjust the smoothing length, offset, and σ factor to control ribbon sensitivity.
• VWAP Options: Toggle VWAP on/off and optionally show ±σ bands for mean reversion signals.
• Entry Markers: Customize marker shape (arrow or triangle), size (tiny to huge), color, and padding using ATR multipliers.
• Stops and Targets:
• Choose between Swing High/Low or ATR-based stop logic.
• Define separate ATR lengths and multipliers for stops and targets.
• Independently toggle their visibility and color.
• Bar Coloring Mode: Select either Momentum or Trend logic for bar overlays.
• Trend Engine: Choose between EMA-21 or HMA 34/144 for identifying trend direction.
• Squeeze Dot Colors: Customize the colors for each compression level and release state.
• MTF Panel: Toggle visibility per timeframe — from 1m to Monthly.
This high degree of customization ensures that the indicator can adapt to nearly any trading style or preference.
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6. Trade Workflow Suggestions
To get the most out of this tool, traders can follow a consistent workflow:
1. Watch Dot Progression: Blue → Orange → Red indicates increasing compression and likelihood of breakout.
2. Enter on Green Dot: When the squeeze fires (green dot), confirm entry direction with bar color and backdrop.
3. Use Confirmation Tools:
• ALMA should slope in the trade direction.
• VWAP should support the price move or confirm expansion away from mean.
4. Manage Risk and Reward (experimental):
• Respect stop-loss placements (Swing/ATR).
• Use ATR-based limit targets if enabled.
5. Exit:
• Consider exiting when momentum crosses zero.
• Or exit when the background color disappears, signaling potential trend exhaustion.
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7. Alerts
Includes built-in alert conditions to notify you when a squeeze fires in either direction:
• “Squeeze Long”: Triggers when a green dot appears and momentum is bullish.
• “Squeeze Short”: Triggers when a green dot appears and momentum is bearish.
You can use these alerts for automation or to stay notified of new setups even when away from the screen.
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8. Disclaimer
This indicator is designed for educational purposes only and should not be interpreted as financial advice. Trading is inherently risky, and any decisions based on this tool should be made with full awareness of personal risk tolerance and capital exposure.
High Volume Buyers/Sellers+High Volume Buyers/Sellers+
This indicator helps traders spot bars where unusually high or extreme volume occurs, indicating strong buying or selling pressure.
How it works:
Calculates a volume moving average (SMA) over a user-defined period.
Marks bars where the current volume exceeds:
High Volume Multiplier → small green circle (bullish) or red circle (bearish).
Extreme Volume Multiplier → small green up-triangle (bullish) or red down-triangle (bearish).
Settings:
Volume MA Period → Number of bars used to calculate the average volume.
High Volume Multiplier → Threshold to define high volume.
Extreme Volume Multiplier → Threshold to define extreme volume.
Show Extreme Volume Signals → Option to enable or disable extreme volume markers.
Usage tips:
Apply this indicator on a clean chart to visually highlight momentum bursts or exhaustion points.
It works well for both intraday and swing trading strategies where volume confirmation matters.
⚠ Note: This script only displays on-chart markers and does not plot any lines or indicators.
Linear Regression Channels📈 Linear Regression Channels
🌟 Overview
A professional dual linear regression channel indicator designed for comprehensive trend analysis. This powerful tool provides simultaneous short-term and long-term trend perspectives through two independent regression channels with customizable standard deviation bands.
🔧 Core Features
📊 Dual Channel System
Channel 1: 43-period regression analysis for long-term trend identification
Channel 2: 20-period regression analysis for short-term momentum tracking
Independent Configuration: Each channel fully customizable with separate parameters
Real-Time Updates: Dynamic calculations with every new candle
📐 Standard Deviation Bands
Multiple Levels: Configurable deviation bands (1σ, 2σ, 3σ)
Dynamic Support/Resistance: Automatically calculated price levels
Trend Boundaries: Clear visualization of trend strength and direction
Statistical Precision: Mathematically accurate regression calculations
🎨 Customization Options
🎭 Visual Styling
Individual Colors: Separate color schemes for each channel
Line Styles: Choose between Solid, Dashed, or Dotted lines
Line Width: Adjustable thickness (1-5 pixels) for optimal visibility
Extension Options: Project lines into the future for analysis
⚙️ Technical Parameters
Period Length: Fully adjustable lookback periods
Source Selection: Choose from Close, Open, High, Low, or custom sources
Deviation Levels: Customizable standard deviation multipliers
Display Control: Toggle individual channels on/off
📈 Trading Applications
🎯 Trend Analysis
Dual Timeframe Perspective: Simultaneous short and long-term view
Trend Confirmation: When both channels align in direction
Trend Strength: Measured by price position within channels
🔍 Support & Resistance
Dynamic Levels: Standard deviation bands as S/R zones
Channel Boundaries: Natural support and resistance areas
Confluence Trading: Multiple level confirmations
⚡ Entry & Exit Signals
Channel Breakouts: Trend continuation opportunities
Mean Reversion: Trades back to center line
Channel Crossovers: When price moves between timeframes
🚀 Key Benefits
✅ Multi-Timeframe Analysis - Complete market perspective
✅ Mathematical Precision - Least squares regression accuracy
✅ High Customization - Adaptable to any trading style
✅ Clean Interface - Professional chart appearance
✅ Performance Optimized - Smooth real-time operation
✅ Versatile Application - Works on all markets and timeframes
💡 Professional Usage
Combine both channels for confluence signals
Use longer channel for overall trend bias
Trade shorter channel signals within longer trend
Monitor channel width for volatility analysis
Essential tool for traders seeking precise trend analysis and dynamic support/resistance levels.
WRAMA Channel (Weighted RSI ATR MA)OVERVIEW
The WRAMA Channel (Weighted RSI ATR MA) is an advanced technical analysis tool designed to react more quickly to price movements compared to indicators using conventional moving averages. It combines the Relative Strength Index (RSI), Average True Range (ATR), and a weighted moving average, resulting in the WRAMA. This indicator forms a dynamic price channel based on a weighted average that incorporates both trend strength (via RSI) and market volatility (via ATR). It helps traders identify trends, potential reversals, and breakout signals, while offering broad customization options.
Key Features
WRAMA Price Channel:
Generates a dynamic channel around the weighted moving average (WRAMA), adapting to market volatility and momentum, similar to Bollinger Bands. Users are encouraged to adjust channel width and length according to their strategy.
The upper and lower channel bands are calculated based on a percentage deviation from the baseline line.
The channel fill color changes depending on the price's position relative to the baseline (green above, red below), with an optional gradient for better visualization.
Weighted Moving Average (WRAMA):
WRAMA is a custom weighted moving average (MA1), where closing prices are weighted based on RSI and ATR, allowing it to dynamically adapt to market conditions.
Baseline: The WRAMA line calculated over a user-defined period.
WRAMA Calculation:
RSI Weight: Based on RSI value. When RSI is in extreme zones (below the lower threshold or above the upper threshold), an extreme weight is applied. Otherwise, the weight is based on the squared RSI value divided by 100, raised to a power defined by the rsi_weight_factor.
ATR Weight: Based on the ATR-to-average-ATR ratio. If ATR exceeds a threshold (atr_threshold × avg_atr), an extreme weight is applied. Otherwise, the weight is based on the squared ratio of ATR to average ATR, raised to the power of the atr_weight_factor.
Combined Weight: RSI and ATR weights are combined using a rsi_atr_balance parameter. Final weight = RSI weight × balance + ATR weight × (1 - balance).
WRAMA Calculation: The closing price is multiplied by the combined weight. The result is averaged over the ma_length period and divided by the average of the weights, forming the WRAMA line. For current WRAMA (ma_length = 1), the calculation simplifies to a single weighted price.
Additional Moving Averages:
For additional confirmations, the indicator supports up to five moving averages (MA1–MA5) with various types (SMA, EMA, WMA, HMA, ALMA) and customizable periods.
All additional MAs are calculated based on WRAMA or its baseline, ensuring consistency and enabling deeper analysis within a unified methodology. MA trend directions can be tracked in a built-in signal table.
Trading Signals:
Breakout Signals: Breakouts above/below the channel are optionally marked with triangle shapes (green for bullish, red for bearish).
MA Signals: Price position relative to MAs or their slope generates bullish/bearish signals. These are optionally visualized with default triangles (green up, red down).
A signal table in the top-right corner summarizes the status of each moving average – bullish, bearish, or neutral.
Customization Options
Channel Settings:
MA Period: Length of the WRAMA baseline (default: 100).
Channel Deviation : Percentage offset from the baseline for upper/lower bands (default: 1.5%).
RSI Settings:
RSI Period: Length of the RSI calculation (default: 14).
RSI Upper/Lower Threshold: Overbought/oversold levels (default: 70/30).
RSI Weight Factor: Influence of RSI on weighting (default: 2.0).
ATR Settings:
ATR Period: ATR calculation length (default: 14).
ATR Threshold: Volatility threshold as a multiple of average ATR (default: 1.5).
ATR Weight Factor: Influence of ATR on weighting (default: 2.0).
RSI & ATR Combined:
Extreme Weight: Weight applied in extreme RSI/ATR conditions (default: 3.0).
RSI/ATR Balance: Balance between RSI and ATR influence (default: 0.5).
Signal Settings:
Show Breakout Signals: Enable/disable breakout triangles.
Show MA Signals: Enable/disable MA-based signals.
MA Signal Source: Choose between current WRAMA or baseline.
MA Signal Analysis: Based on price position or slope.
Neutral Threshold : Minimum distance from MA for signal neutrality (default: 0.5%).
Minimum MA Slope : Minimum slope for trend direction signals (default: 0.01%).
Moving Averages (MA1–MA5):
Options to enable/disable, select type (SMA, EMA, WMA, HMA, ALMA), set period length, and choose color.
Style Settings:
Gradient Fill: Enable/disable gradient coloring within the channel.
Show Baseline: Enable/disable WRAMA baseline visibility.
Colors: Customize line, fill, and signal colors.
Use Cases
Trend Identification: The WRAMA channel highlights trend direction and potential reversal zones when price contacts the channel edges.
Breakout Signals: Channel breakouts may indicate trend shifts or momentum surges.
MA Analysis: The signal table provides a clear summary of market direction (bullish, bearish, or neutral) based on selected moving averages.
Trading Strategies: Suitable for trend-following, mean-reversion, and scalping strategies, depending on user preferences and settings.
Notes
The indicator offers a high degree of flexibility, making it adaptable to various trading styles, instruments, and timeframes.
It is recommended to adjust channel length and width to fit your trading strategy.
Backtesting settings on historical data is advised to optimize parameters for a specific strategy and market.
ZLMA Keltner ChannelThe ZLMA Keltner Channel uses a Zero-Lag Moving Average (ZLMA) as the centerline with ATR-based bands to track trends and volatility.
The ZLMA’s reduced lag enhances responsiveness for breakouts and reversals, i.e. it's more sensitive to pivots and trend reversals.
Unlike Bollinger Bands, which use standard deviation and are more sensitive to price spikes, this uses ATR for smoother volatility measurement.
Background:
Built on John Ehlers’ lag-reduction techniques, this indicator adapts the classic Keltner Channel for dynamic markets. It excels in trending (low-entropy) markets for breakouts and range-bound (high-entropy) markets for reversals.
How to Read:
ZLMA (Blue): Tracks price trends. Above = bullish, below = bearish.
Upper Band (Green): ZLMA + (Multiplier × ATR). Cross above signals breakout or overbought.
Lower Band (Red): ZLMA - (Multiplier × ATR). Cross below signals breakout or oversold.
Channel Fill (Gray): Shows volatility. Narrow = low volatility, wide = high volatility.
Signals (Optional): Enable to show “Buy” (green) on upper band crossovers, “Sell” (red) on lower band crossunders.
Strategies: Trade breakouts in trending markets, reversals in ranges, or use bands as trailing stops.
Settings:
ZLMA Period (20): Adjusts centerline responsiveness.
ATR Period (20): Sets volatility period.
Multiplier (2.0): Controls band width.
If you are still confused between the ZLMA Keltner Channels and Bollinger Bands:
Keltner Channel (ZLMA): Uses ATR for bands, which smooths volatility and is less reactive to sudden price spikes. The ZLMA centerline reduces lag for faster trend detection.
Bollinger Bands: Uses standard deviation for bands, making them more sensitive to price volatility and prone to wider swings in high-entropy markets. Typically uses an SMA centerline, which lags more than ZLMA.
Step Channel Momentum Trend [ChartPrime]OVERVIEW
Step Channel Momentum Trend is a momentum-based price filtering system that adapts to market structure using pivot levels and ATR volatility. It builds a dynamic channel around a stepwise midline derived from swing highs and lows. The system colors price candles based on whether price remains inside this channel (low momentum) or breaks out (strong directional flow). This allows traders to clearly distinguish ranging conditions from trending ones and take action accordingly.
⯁ STRUCTURAL MIDLNE (STEP CHANNEL CORE)
The midline acts as the backbone of the trend system and is based on structure rather than smoothing.
Calculated as the average of the most recent confirmed Pivot High and Pivot Low.
The result is a step-like horizontal line that only updates when new pivot points are confirmed.
This design avoids lag and makes the line "snap" to recent structural shifts.
It reflects the equilibrium level between recent bullish and bearish control.
This unique step logic creates clear regime shifts and prevents noise from distorting trend interpretation.
⯁ DYNAMIC VOLATILITY BANDS (ATR FILTERING)
To detect momentum strength, the script constructs upper and lower bands using the ATR (Average True Range):
The distance from the midline is determined by ATR × multiplier (default: 200-period ATR × 0.6).
These bands adjust dynamically to volatility, expanding in high-ATR environments and contracting in calm markets.
The area between upper and lower bands represents a neutral or ranging market state.
Breakouts outside the bands are treated as significant momentum shifts.
This filtering approach ensures that only meaningful breakouts are visually emphasized — not every candle fluctuation.
⯁ MOMENTUM-BASED CANDLE COLORING
The system visually transforms price candles into momentum indicators:
When price (hl2) is above the upper band, candles are green → bullish momentum.
When price is below the lower band, candles are red → bearish momentum.
When price is between the bands, candles are orange → low or no momentum (range).
The candle body, wick, and border are all colored uniformly for visual clarity.
This gives traders instant feedback on when momentum is expanding or fading — ideal for breakout, pullback, or trend-following strategies.
⯁ PIVOT-BASED SWING ANCHORS
Each confirmed pivot is plotted as a label ⬥ directly on the chart:
They also serve as potential manual entry zones, SL/TP anchors, or confirmation points.
⯁ MOMENTUM STATE LABEL
To reinforce the current market mode, a live label is displayed at the most recent candle:
Displays either:
“ Momentum Up ” when price breaks above the upper band.
“ Momentum Down ” when price breaks below the lower band.
“ Range ” when price remains between the bands.
Label color matches the candle color for quick identification.
Automatically updates on each bar close.
This helps discretionary traders filter trades based on market phase.
USAGE
Use the green/red zones to enter with momentum and ride trending moves.
Use the orange zone to stay out or fade ranges.
The step midline can act as a breakout base, pullback anchor, or bias reference.
Combine with other indicators (e.g., order blocks, divergences, or volume) to build high-confluence systems.
CONCLUSION
Step Channel Momentum Trend gives traders a clean, adaptive framework for identifying trend direction, volatility-based breakouts, and ranging environments — all from structural logic and ATR responsiveness. Its stepwise midline provides clarity, while its dynamic color-coded candles make momentum shifts impossible to miss. Whether you’re scalping intraday momentum or managing swing entries, this tool helps you trade with the market’s rhythm — not against it.
