Normalized DEMA Oscillator SD| QuantEdgeB📊 Introducing Normalized DEMA Oscillator SD (NDOSD) by QuantEdgeB
🛠️ Overview
Normalized DEMA Oscillator SD (NDOSD) is a powerful trend and momentum indicator that blends DEMA-based smoothing with a standard deviation-based normalization engine. The result is an oscillator that adapts to volatility, filters noise, and highlights both trend continuations and reversal zones with exceptional clarity.
It normalizes price momentum within an adaptive SD envelope, allowing comparisons across assets and market conditions. Whether you're a trend trader or mean-reverter, NDOSD provides the insight needed for smarter decision-making.
✨ Key Features
🔹 DEMA-Powered Momentum Core
Utilizes a Double EMA (DEMA) for smoother trend detection with reduced lag.
🔹 Normalized SD Bands
Price momentum is standardized using a dynamic 2× standard deviation range—enabling consistent interpretation across assets and timeframes.
🔹 Overbought/Oversold Detection
Includes clear OB/OS zones with shaded thresholds to identify potential reversals or trend exhaustion areas.
🔹 Visual Trend Feedback
Color-coded oscillator zones, candle coloring, and optional signal labels help traders immediately see trend direction and strength.
📐 How It Works
1️⃣ DEMA Calculation
The core of NDOSD is a smoothed price line using a Double EMA, designed to reduce false signals in choppy markets.
2️⃣ Normalization with SD
The DEMA is normalized within a volatility range using a 2x SD calculation, producing a bounded oscillator from 0–100. This transforms the raw signal into a structured format, allowing for OB/OS detection and trend entry clarity.
3️⃣ Signal Generation
• ✅ Long Signal → Oscillator crosses above the long threshold (default: 55) and price holds above the lower SD boundary.
• ❌ Short Signal → Oscillator drops below short threshold (default: 45), often within upper SD boundary context.
4️⃣ OB/OS Thresholds
• Overbought Zone: Above 100 → Caution / Consider profit-taking.
• Oversold Zone: Below 0 → Watch for accumulation setups.
⚙️ Custom Settings
• Calculation Source: Default = close
• DEMA Period: Default = 30
• Base SMA Period: Default = 20
• Long Threshold: Default = 55
• Short Threshold: Default = 45
• Color Mode: Choose from Strategy, Solar, Warm, Cool, Classic, or Magic
• Signal Labels Toggle: Show/hide Long/Short markers on chart
👥 Ideal For
✅ Trend Followers – Identify breakout continuation zones using oscillator thrust and SD structure
✅ Swing Traders – Catch mid-trend entries or mean reversion setups at OB/OS extremes
✅ Quant/Systemic Traders – Normalize signals for algorithmic integration across assets
✅ Multi-Timeframe Analysts – Easily compare trend health using standardized oscillator ranges
📌 Conclusion
Normalized DEMA Oscillator SD is a sleek and adaptive momentum toolkit that helps traders distinguish true momentum from false noise. With its fusion of DEMA smoothing and SD normalization, it works equally well in trending and range-bound conditions.
🔹 Key Takeaways:
1️⃣ Smoother momentum tracking using DEMA
2️⃣ Cross-asset consistency via SD-based normalization
3️⃣ Versatile for both trend confirmation and reversal identification
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Let me know if you want a strategy script or publish-ready layout for TradingView next!
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Z-Score Normalized VIX StrategyThis strategy leverages the concept of the Z-score applied to multiple VIX-based volatility indices, specifically designed to capture market reversals based on the normalization of volatility. The strategy takes advantage of VIX-related indicators to measure extreme levels of market fear or greed and adjusts its position accordingly.
1. Overview of the Z-Score Methodology
The Z-score is a statistical measure that describes the position of a value relative to the mean of a distribution in terms of standard deviations. In this strategy, the Z-score is calculated for various volatility indices to assess how far their values are from their historical averages, thus normalizing volatility levels. The Z-score is calculated as follows:
Z = \frac{X - \mu}{\sigma}
Where:
• X is the current value of the volatility index.
• \mu is the mean of the index over a specified period.
• \sigma is the standard deviation of the index over the same period.
This measure tells us how many standard deviations the current value of the index is away from its average, indicating whether the market is experiencing unusually high or low volatility (fear or calm).
2. VIX Indices Used in the Strategy
The strategy utilizes four commonly referenced volatility indices:
• VIX (CBOE Volatility Index): Measures the market’s expectations of 30-day volatility based on S&P 500 options.
• VIX3M (3-Month VIX): Reflects expectations of volatility over the next three months.
• VIX9D (9-Day VIX): Reflects shorter-term volatility expectations.
• VVIX (VIX of VIX): Measures the volatility of the VIX itself, indicating the level of uncertainty in the volatility index.
These indices provide a comprehensive view of the current volatility landscape across different time horizons.
3. Strategy Logic
The strategy follows a long entry condition and an exit condition based on the combined Z-score of the selected volatility indices:
• Long Entry Condition: The strategy enters a long position when the combined Z-score of the selected VIX indices falls below a user-defined threshold, indicating an abnormally low level of volatility (suggesting a potential market bottom and a bullish reversal). The threshold is set as a negative value (e.g., -1), where a more negative Z-score implies greater deviation below the mean.
• Exit Condition: The strategy exits the long position when the combined Z-score exceeds the threshold (i.e., when the market volatility increases above the threshold, indicating a shift in market sentiment and reduced likelihood of continued upward momentum).
4. User Inputs
• Z-Score Lookback Period: The user can adjust the lookback period for calculating the Z-score (e.g., 6 periods).
• Z-Score Threshold: A customizable threshold value to define when the market has reached an extreme volatility level, triggering entries and exits.
The strategy also allows users to select which VIX indices to use, with checkboxes to enable or disable each index in the calculation of the combined Z-score.
5. Trade Execution Parameters
• Initial Capital: The strategy assumes an initial capital of $20,000.
• Pyramiding: The strategy does not allow pyramiding (multiple positions in the same direction).
• Commission and Slippage: The commission is set at $0.05 per contract, and slippage is set at 1 tick.
6. Statistical Basis of the Z-Score Approach
The Z-score methodology is a standard technique in statistics and finance, commonly used in risk management and for identifying outliers or unusual events. According to Dumas, Fleming, and Whaley (1998), volatility indices like the VIX serve as a useful proxy for market sentiment, particularly during periods of high uncertainty. By calculating the Z-score, we normalize volatility and quantify the degree to which the current volatility deviates from historical norms, allowing for systematic entry and exit based on these deviations.
7. Implications of the Strategy
This strategy aims to exploit market conditions where volatility has deviated significantly from its historical mean. When the Z-score falls below the threshold, it suggests that the market has become excessively calm, potentially indicating an overreaction to past market events. Entering long positions under such conditions could capture market reversals as fear subsides and volatility normalizes. Conversely, when the Z-score rises above the threshold, it signals increased volatility, which could be indicative of a bearish shift in the market, prompting an exit from the position.
By applying this Z-score normalized approach, the strategy seeks to achieve more consistent entry and exit points by reducing reliance on subjective interpretation of market conditions.
8. Scientific Sources
• Dumas, B., Fleming, J., & Whaley, R. (1998). “Implied Volatility Functions: Empirical Tests”. The Journal of Finance, 53(6), 2059-2106. This paper discusses the use of volatility indices and their empirical behavior, providing context for volatility-based strategies.
• Black, F., & Scholes, M. (1973). “The Pricing of Options and Corporate Liabilities”. Journal of Political Economy, 81(3), 637-654. The original Black-Scholes model, which forms the basis for many volatility-related strategies.
AO.545.Chop Zone Background VWAPChop Zone Background VWAP
This indicator blends Chop Zone detection with the VWAP (Volume Weighted Average Price) to help traders identify periods of consolidation and trendlessness, while staying aligned with volume-based price action.
Features:
Chop Zone Detection: Highlights sideways or low-momentum zones using a color-coded background.
VWAP Integration: Plots the VWAP to help identify fair value and potential trend bias.
Visual Clarity: Background coloring makes it easy to spot choppy, non-trending areas at a glance.
Trend Confirmation: Use VWAP interaction with price to confirm breakouts or rejections from consolidation zones.
Customizable Parameters: Fine-tune chop sensitivity and VWAP settings to suit any timeframe or asset.
Disclaimer:
This indicator is a technical tool intended to support trading decisions, not replace them. It should be used alongside proper risk management and other forms of analysis. Trading involves risk; always trade responsibly.
Thank you Trading view for source code
Median RSI SD| QuantEdgeB📈 Introducing Median RSI SD by QuantEdgeB
🛠️ Overview
Median RSI SD is a hybrid momentum tool that fuses two powerful techniques: Median Price Filtering and RSI-based Momentum. The result? A cleaner, more responsive oscillator designed to reduce noise and increase clarity in trend detection and potential reversals.
By applying the RSI not to raw price but to the percentile-based median, the indicator adapts better to real structural shifts in the market while filtering out temporary price spikes.
✨ Key Features
🔹 Smoothed RSI Momentum
Utilizes a percentile-based median as input to RSI, reducing volatility and enhancing signal reliability.
🔹 Volatility-Weighted SD Zones
Automatically detects overbought/oversold extremes using ±1 standard deviation bands on the median, adapting to current market volatility.
🔹 Trend Signal Overlay
A directional trend signal (Long / Short / Neutral) is derived from the RSI crossing custom thresholds, combined with position relative to SD bands.
🔹 Visual Labeling System
Optional in-chart labels for Long / Short signals and fully color-customizable theme modes.
📊 How It Works
1️⃣ Median RSI Calculation
Instead of using the close price directly, the script first computes a smoothed median via percentile ranking. RSI is then applied to this filtered stream, improving reactivity without overfitting to short-term noise.
2️⃣ Standard Deviation Filtering
Upper and lower SD bands are calculated around the median to identify extreme conditions. A position near the upper SD while RSI is below the short threshold triggers bearish bias. The reverse applies for longs.
3️⃣ Signal Generation
• ✅ Long Signal → RSI crosses above the Long Threshold (default: 65) and price holds above lower SD.
• ❌ Short Signal → RSI crosses below the Short Threshold (default: 45), typically within upper SD range.
4️⃣ Contextual Highlighting
Zone fills on the chart and RSI subgraph indicate Overbought (>75) and Oversold (<25) conditions for added clarity.
⚙️ Custom Settings
• RSI Length → Default: 21
• Median Length → Default: 10
• Long Threshold → Default: 65
• Short Threshold → Default: 45
• Color Mode → Choose from Strategy, Solar, Warm, Cool, Classic, Magic
• Signal Labels Toggle → Optional in-chart long/short labels
👥 Who Should Use It?
✅ Swing & Momentum Traders → Filter entries based on confirmed directional RSI setups.
✅ Range-Bound Traders → Use SD thresholds to spot fakeouts or exhaustion zones.
✅ Intraday Strategists → Enhanced signal clarity makes it usable even on lower timeframes.
✅ System Builders → Combine this signal with price action or confluence layers for smarter rules.
📌 Conclusion
Median RSI SD by QuantEdgeB is more than just a modified oscillator—it's a robust momentum confirmation framework designed for modern volatility. By replacing noisy price feeds with a statistically stable input and layering RSI + SD logic, this tool provides high-clarity signals without sacrificing responsiveness.
🔹 Key Takeaways:
1️⃣ Median-filtered RSI eliminates noise without lag
2️⃣ Standard deviation bands identify exhaustion zones
3️⃣ Reliable for both trend continuation and mean-reversion strategies
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Linear % ST | QuantEdgeB🚀 Introducing Linear Percentile SuperTrend (Linear % ST) by QuantEdgeB
🛠️ Overview
Linear % SuperTrend (Linear % ST) by QuantEdgeB is a hybrid trend-following indicator that combines Linear Regression, Percentile Filters, and Volatility-Based SuperTrend Logic into one dynamic tool. This system is designed to identify trend shifts early while filtering out noise during choppy market conditions.
By utilizing percentile-based median smoothing and customized ATR multipliers, this tool captures both breakout momentum and pullback opportunities with precision.
✨ Key Features
🔹 Percentile-Based Median Filtering
Removes outliers and normalizes price movement for cleaner trend detection using the 50th percentile (median) of recent price action.
🔹 Linear Regression Smoothing
A smoothed baseline is computed with Linear Regression to detect the underlying trend while minimizing lag.
🔹 SuperTrend Structure with Adaptive Bands
The indicator implements an enhanced SuperTrend engine with custom ATR bands that adapt to trend direction. Bands tighten or loosen based on volatility and trend strength.
🔹 Dynamic Long/Short Conditions
Long and short signals are derived from the relationship between price and the SuperTrend threshold zones, clearly showing trend direction with optional "Long"/"Short" labels on the chart.
🔹 Multiple Visual Themes
Select from 6 built-in color palettes including Strategy, Solar, Warm, Cool, Classic, and Magic to match your personal style or strategy layout.
📊 How It Works
1️⃣ Percentile Filtering
The source price (default: close) is filtered using a nearest-rank 50th percentile over a custom lookback. This normalizes data to reflect the central tendency and removes noisy extremes.
2️⃣ Linear Regression Trend Base
A Linear Regression Moving Average (LSMA) is applied to the filtered median, forming the core trend line. This dynamic trendline provides a low-lag yet smooth view of market direction.
3️⃣ SuperTrend Engine
ATR is applied with custom multipliers (different for long and short) to create dynamic bands. The bands react to price movement and only shift direction after confirmation, preventing false flips.
4️⃣ Trend Signal Logic
• When price stays above the dynamic lower band → Bullish trend
• When price breaks below the upper band → Bearish trend
• Trend direction remains stable until violated by price.
⚙️ Custom Settings
• Percentile Length → Lookback for percentile smoothing (default: 35)
• LSMA Length → Determines the base trend via linear regression (default: 24)
• ATR Length → ATR period used in dynamic bands (default: 14)
• Long Multiplier → ATR multiplier for bullish thresholds (default: 0.8)
• Short Multiplier → ATR multiplier for bearish thresholds (default: 1.9)
✅ How to Use
1️⃣ Trend-Following Strategy
✔️ Go Long when price breaks above the lower ATR band, initiating an upward trend
✔️ Go Short when price falls below the upper ATR band, confirming bearish conditions
✔️ Remain in trend direction until the SuperTrend flips
2️⃣ Visual Confirmation
✔️ Use bar coloring and the dynamic bands to stay aligned with trend direction
✔️ Optional Long/Short labels highlight key signal flips
👥 Who Should Use Linear % ST?
✅ Swing & Position Traders → To ride trends confidently
✅ Trend Followers → As a primary directional filter
✅ Breakout Traders → For clean signal generation post-range break
✅ Quant/Systematic Traders → Integrate clean trend logic into algorithmic setups
📌 Conclusion
Linear % ST by QuantEdgeB blends percentile smoothing with linear regression and volatility bands to deliver a powerful, adaptive trend-following engine. Whether you're a discretionary trader seeking cleaner entries or a systems-based trader building logic for automation, Linear % ST offers clarity, adaptability, and precision in trend detection.
🔹 Key Takeaways:
1️⃣ Percentile + Regression = Noise-Reduced Core Trend
2️⃣ ATR-Based SuperTrend = Reliable Breakout Confirmation
3️⃣ Flexible Parameters + Color Modes = Custom Fit for Any Strategy
📈 Use it to spot emerging trends, filter false signals, and stay confidently aligned with market momentum.
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Quantile DEMA Trend | QuantEdgeB🚀 Introducing Quantile DEMA Trend (QDT) by QuantEdgeB
🛠️ Overview
Quantile DEMA Trend (QDT) is an advanced trend-following and momentum detection indicator designed to capture price trends with superior accuracy. Combining DEMA (Double Exponential Moving Average) with SuperTrend and Quantile Filtering, QDT identifies strong trends while maintaining the ability to adapt to various market conditions.
Unlike traditional trend indicators, QDT uses percentile filtering to adjust for volatility and provides dynamic thresholds, ensuring consistent signal performance across different assets and timeframes.
✨ Key Features
🔹 Trend Following with Adaptive Sensitivity
The DEMA component ensures quicker responses to price changes while reducing lag, offering a real-time reflection of market momentum.
🔹 Volatility-Adjusted Filtering
The SuperTrend logic incorporates quantile percentile filters and ATR (Average True Range) multipliers, allowing QDT to adapt to fluctuating market volatility.
🔹 Clear Signal Generation
QDT generates clear Long and Short signals using percentile thresholds, effectively identifying trend changes and market reversals.
🔹 Customizable Visual & Signal Settings
With multiple color modes and customizable settings, you can easily align the QDT indicator with your trading strategy, whether you're focused on trend-following or volatility adjustments.
📊 How It Works
1️⃣ DEMA Calculation
DEMA is used to reduce lag compared to traditional moving averages. It is calculated by applying a Double Exponential Moving Average to price data. This smoother trend-following mechanism ensures responsiveness to market movements without introducing excessive noise.
2️⃣ SuperTrend with Percentile Filtering
The SuperTrend component adapts the trend-following signal by incorporating quantile percentile filters. It identifies dynamic support and resistance levels based on historical price data:
• Upper Band: Calculated using the 75th percentile + ATR (adjusted with multiplier)
• Lower Band: Calculated using the 25th percentile - ATR (adjusted with multiplier)
These dynamic bands adjust to market conditions, filtering out noise while identifying the true direction.
3️⃣ Signal Generation
• Long Signal: Triggered when price crosses below the SuperTrend Lower Band
• Short Signal: Triggered when price crosses above the SuperTrend Upper Band
The indicator provides signals with corresponding trend direction based on these crossovers.
👁 Visual & Custom Features
• 🎨 Multiple Color Modes: Choose from "Strategy", "Solar", "Warm", "Cool", "Classic", and "Magic" color palettes to match your charting style.
• 🏷️ Long/Short Signal Labels: Optional labels for visual cueing when a long or short trend is triggered.
• 📉 Bar Color Customization: Bar colors dynamically adjust based on trend direction to visually distinguish the market bias.
👥 Who Should Use QDT?
✅ Trend Followers: Use QDT as a dynamic tool to confirm trends and capture profits in trending markets.
✅ Swing Traders: Use QDT to time entries based on confirmed breakouts or breakdowns.
✅ Volatility Traders: Identify market exhaustion or expansion points, especially during volatile periods.
✅ Systematic & Quant Traders: Integrate QDT into algorithmic strategies to enhance market detection with adaptive filtering.
⚙️ Customization & Default Settings
- DEMA Length(30): Controls the lookback period for DEMA calculation
- Percentile Length(10): Sets the lookback period for percentile filtering
- ATR Length(14): Defines the length for calculating ATR (used in SuperTrend)
- ATR Multiplier(1.2 ): Multiplier for ATR in SuperTrend calculation
- SuperTrend Length(30):Defines the length for SuperTrend calculations
📌 How to Use QDT in Trading
1️⃣ Trend-Following Strategy
✔ Enter Long positions when QDT signals a bullish breakout (price crosses below the SuperTrend lower band).
✔ Enter Short positions when QDT signals a bearish breakdown (price crosses above the SuperTrend upper band).
✔ Hold positions as long as QDT continues to provide the same direction.
2️⃣ Reversal Strategy
✔ Take profits when price reaches extreme levels (upper or lower percentile zones) that may indicate trend exhaustion or reversion.
3️⃣ Volatility-Driven Entries
✔ Use the percentile filtering to enter positions based on mean-reversion logic or breakout setups in volatile markets.
🧠 Why It Works
QDT combines the DEMA’s quick response to price changes with SuperTrend's volatility-adjusted thresholds, ensuring a responsive and adaptive indicator. The use of percentile filters and ATR multipliers helps adjust to varying market conditions, making QDT suitable for both trending and range-bound environments.
🔹 Conclusion
The Quantile DEMA Trend (QDT) by QuantEdgeB is a powerful, adaptive trend-following and momentum detection system. By integrating DEMA, SuperTrend, and quantile percentile filtering, it provides accurate and timely signals while adjusting to market volatility. Whether you are a trend follower or volatility trader, QDT offers a robust solution to identify high-probability entry and exit points.
🔹 Key Takeaways:
1️⃣ Trend Confirmation – Uses DEMA and SuperTrend for dynamic trend detection
2️⃣ Volatility Filtering – Adjusts to varying market conditions using percentile logic
3️⃣ Clear Signal Generation – Easy-to-read signals and visual cues for strategy implementation
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Z-Score Normalized Volatility IndicesVolatility is one of the most important measures in financial markets, reflecting the extent of variation in asset prices over time. It is commonly viewed as a risk indicator, with higher volatility signifying greater uncertainty and potential for price swings, which can affect investment decisions. Understanding volatility and its dynamics is crucial for risk management and forecasting in both traditional and alternative asset classes.
Z-Score Normalization in Volatility Analysis
The Z-score is a statistical tool that quantifies how many standard deviations a given data point is from the mean of the dataset. It is calculated as:
Z = \frac{X - \mu}{\sigma}
Where X is the value of the data point, \mu is the mean of the dataset, and \sigma is the standard deviation of the dataset. In the context of volatility indices, the Z-score allows for the normalization of these values, enabling their comparison regardless of the original scale. This is particularly useful when analyzing volatility across multiple assets or asset classes.
This script utilizes the Z-score to normalize various volatility indices:
1. VIX (CBOE Volatility Index): A widely used indicator that measures the implied volatility of S&P 500 options. It is considered a barometer of market fear and uncertainty (Whaley, 2000).
2. VIX3M: Represents the 3-month implied volatility of the S&P 500 options, providing insight into medium-term volatility expectations.
3. VIX9D: The implied volatility for a 9-day S&P 500 options contract, which reflects short-term volatility expectations.
4. VVIX: The volatility of the VIX itself, which measures the uncertainty in the expectations of future volatility.
5. VXN: The Nasdaq-100 volatility index, representing implied volatility in the Nasdaq-100 options.
6. RVX: The Russell 2000 volatility index, tracking the implied volatility of options on the Russell 2000 Index.
7. VXD: Volatility for the Dow Jones Industrial Average.
8. MOVE: The implied volatility index for U.S. Treasury bonds, offering insight into expectations for interest rate volatility.
9. BVIX: Volatility of Bitcoin options, a useful indicator for understanding the risk in the cryptocurrency market.
10. GVZ: Volatility index for gold futures, reflecting the risk perception of gold prices.
11. OVX: Measures implied volatility for crude oil futures.
Volatility Clustering and Z-Score
The concept of volatility clustering—where high volatility tends to be followed by more high volatility—is well documented in financial literature. This phenomenon is fundamental in volatility modeling and highlights the persistence of periods of heightened market uncertainty (Bollerslev, 1986).
Moreover, studies by Andersen et al. (2012) explore how implied volatility indices, like the VIX, serve as predictors for future realized volatility, underlining the relationship between expected volatility and actual market behavior. The Z-score normalization process helps in making volatility data comparable across different asset classes, enabling more effective decision-making in volatility-based strategies.
Applications in Trading and Risk Management
By using Z-score normalization, traders can more easily assess deviations from the mean in volatility, helping to identify periods when volatility is unusually high or low. This can be used to adjust risk exposure or to implement volatility-based trading strategies, such as mean reversion strategies. Research suggests that volatility mean-reversion is a reliable pattern that can be exploited for profit (Christensen & Prabhala, 1998).
References:
• Andersen, T. G., Bollerslev, T., Diebold, F. X., & Vega, C. (2012). Realized volatility and correlation dynamics: A long-run approach. Journal of Financial Economics, 104(3), 385-406.
• Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of Econometrics, 31(3), 307-327.
• Christensen, B. J., & Prabhala, N. R. (1998). The relation between implied and realized volatility. Journal of Financial Economics, 50(2), 125-150.
• Whaley, R. E. (2000). Derivatives on market volatility and the VIX index. Journal of Derivatives, 8(1), 71-84.
Reversal Trading Bot Strategy[BullByte]Overview :
The indicator Reversal Trading Bot Strategy is crafted to capture potential market reversal points by combining momentum, volatility, and trend alignment filters. It uses a blend of technical indicators to identify both bullish and bearish reversal setups, ensuring that multiple market conditions are met before entering a trade.
Core Components :
Technical Indicators Used :
RSI (Relative Strength Index) :
Purpose : Detects divergence conditions by comparing recent lows/highs in price with the RSI.
Parameter : Length of 8.
Bollinger Bands (BB) :
Purpose : Measures volatility and identifies price levels that are statistically extreme.
Parameter : Length of 20 and a 2-standard deviation multiplier.
ADX (Average Directional Index) & DMI (Directional Movement Index) :
Purpose : Quantifies the strength of the trend. The ADX threshold is set at 20, and additional filters check for the alignment of the directional indicators (DI+ and DI–).
ATR (Average True Range) :
Purpose : Provides a volatility measure used to set stop levels and determine risk through trailing stops.
Volume SMA (Simple Moving Average of Volume ):
Purpose : Helps confirm strength by comparing the current volume against a 20-period average, with an optional filter to ensure volume is at least twice the SMA.
User-Defined Toggle Filters :
Volume Filter : Confirms that the volume is above average (or twice the SMA) before taking trades.
ADX Trend Alignment Filter : Checks that the ADX’s directional indicators support the trade direction.
BB Close Confirmation : Optionally refines the entry by requiring price to be beyond the upper or lower Bollinger Band rather than just above or below.
RSI Divergence Exit : Allows the script to close positions if RSI divergence is detected.
BB Mean Reversion Exit : Closes positions if the price reverts to the Bollinger Bands’ middle line.
Risk/Reward Filter : Ensures that the potential reward is at least twice the risk by comparing the distance to the Bollinger Band with the ATR.
Candle Movement Filter : Optional filter to require a minimum percentage move in the candle to confirm momentum.
ADX Trend Exit : Closes positions if the ADX falls below the threshold and the directional indicators reverse.
Entry Conditions :
Bullish Entry :
RSI Divergence : Checks if the current close is lower than a previous low while the RSI is above the previous low, suggesting bullish divergence.
Bollinger Confirmation : Requires that the price is above the lower (or upper if confirmation is toggled) Bollinger Band.
Volume & Trend Filters : Combines volume condition, ADX strength, and an optional candle momentum condition.
Risk/Reward Check : Validates that the trade meets a favorable risk-to-reward ratio.
Bearish Entry :
Uses a mirror logic of the bullish entry by checking for bearish divergence, ensuring the price is below the appropriate Bollinger level, and confirming volume, trend strength, candle pattern, and risk/reward criteria.
Trade Execution and Exit Strateg y:
Trade Execution :
Upon meeting the entry conditions, the strategy initiates a long or short position.
Stop Loss & Trailing Stops :
A stop-loss is dynamically set using the ATR value, and trailing stops are implemented as a percentage of the close price.
Exit Conditions :
Additional exit filters can trigger early closures based on RSI divergence, mean reversion (via the middle Bollinger Band), or a weakening trend as signaled by ADX falling below its threshold.
This multi-layered exit strategy is designed to lock in gains or minimize losses if the market begins to reverse unexpectedly.
How the Strategy Works in Different Market Conditions :
Trending Markets :
The ADX filter ensures that trades are only taken when the trend is strong. When the market is trending, the directional movement indicators help confirm the momentum, making the reversal signal more reliable.
Ranging Markets :
In choppy markets, the Bollinger Bands expand and contract, while the RSI divergence can highlight potential turning points. The optional filters can be adjusted to avoid false signals in low-volume or low-volatility conditions.
Volatility Management :
With ATR-based stop-losses and a risk/reward filter, the strategy adapts to current market volatility, ensuring that risk is managed consistently.
Recommendation on using this Strategy with a Trading Bot :
This strategy is well-suited for high-frequency trading (HFT) due to its ability to quickly identify reversal setups and execute trades dynamically with automated stop-loss and trailing exits. By integrating this script with a TradingView webhook-based bot or an API-driven execution system, traders can automate trade entries and exits in real-time, reducing manual execution delays and capitalizing on fast market movements.
Disclaimer :
This script is provided for educational and informational purposes only. It is not intended as investment advice. Trading involves significant risk, and you should always conduct your own research and analysis before making any trading decisions. The author is not responsible for any losses incurred while using this script.
VIX Momentum AnalyzerUsed for detected momentum in VIX to get a better odea of when to short volatility.
Interpreting Signals:
Red Zone (ROC > +20%): VIX spiking → Avoid SVIX.
Yellow Zone (ROC < +10%): Fear easing → Prepare to enter SVIX.
Green Zone (ROC < 0%): VIX dropping → Hold SVIX for profits.
Statistical Price Bands with MTF Bands by QTX Algo SystemsStatistical Price Bands with MTF Bands by QTX Algo Systems
Overview
This indicator builds on the original Statistical Price Bands with Trend Filtering script by introducing Multi-Timeframe (MTF) Band Visualization. While the base version calculated adaptive price bands using statistical percentiles, trend filtering, and volatility adjustments, this enhanced version adds support/resistance bands from multiple timeframes onto the current chart.
This is not a minor cosmetic update. The MTF version includes additional request.security() logic and significantly increases context by allowing traders to reference band extremes from longer or shorter timeframes without switching charts. For this reason, the original and MTF versions are maintained separately, as this script requires a Pro+ or Premium TradingView plan to function correctly.
What’s New in This Version
Multi-Timeframe Band Support: Fetches and displays upper and lower bands from other timeframes (e.g., 30min, 1H, 4H, 1D, 1W, 1M).
Chart-Based MTF Labels: Each band is labeled with its source timeframe (e.g., “1D U” = 1-Day Upper Band) for easy visual reference.
Custom Timeframe Control: Users can toggle specific timeframes on/off depending on their preferences and strategy.
Core Calculation Method (Unchanged)
Statistical Percentile Calculation:
Determines upper and lower thresholds using a historical percentile method applied to price deviations from a VWMA anchor.
Volatility Adjustment:
Dynamically scales the percentile thresholds based on a volatility factor (standard deviation vs. moving average).
Trend Filtering:
Adds a directional bias based on whether price is above or below its VWMA, pushing the bands higher in uptrends and lower in downtrends.
MTF Band Integration
This version calculates additional statistical bands using the same logic as the chart’s timeframe, but applies it to other timeframes selected by the user. These values are fetched using request.security() and then plotted onto the current chart using lines and labels.
This functionality allows traders to:
See if current price is extended compared to higher timeframe extremes.
Spot trend continuation or exhaustion relative to intraday or macro levels.
Identify areas of confluence for trade entries, exits, or stop placement.
Inputs & Customization
Statistical Percentile (default: 95)
Controls how extreme the bands are. Higher values = wider bands.
Lookback Period (default: 350)
Number of bars used to calculate percentiles. Longer = smoother bands.
VWMA Length (default: 20)
Sets the moving average anchor for calculating relative price deviation.
Volatility Factor Multiplier (default: 1.0)
Scales the influence of market volatility on band width.
Trend Strength Multiplier (default: 10.0)
Adjusts how far bands shift in the direction of the trend.
Timeframe Toggles (MTF)
Select which timeframes (e.g., 1H, 4H, 1D, 1W) to show on the chart.
Label Offset
Controls how far right MTF labels appear on the chart.
Use Case Scenarios
Overextension Detection:
Price touching or breaching an MTF band may suggest exhaustion, especially if confirmed by confluence or divergence.
Trend Confirmation:
Bands tilting in one direction across multiple timeframes can suggest strong trend alignment.
Risk Management:
Use bands from higher timeframes as trailing stops or invalidation zones.
Why This Is a Separate Script
This version uses request.security() to retrieve values from multiple timeframes, which:
Requires an upgraded TradingView plan (Pro+ or higher).
May impact performance on lower-tier plans.
Provides a major functional difference from the original, not a minor tweak or cosmetic upgrade.
To maintain compatibility and accessibility for all users, both versions are published separately:
The original for single-timeframe users.
This version for those using a multi-timeframe workflow.
Disclaimer
This script is for educational purposes only. It is intended to support your analysis—not to predict outcomes or replace risk management. Past performance is not indicative of future results. Always perform your own analysis and trade responsibly.
Range Filter with MACD, RSI & Volume📌 Enhanced Range Filter with Multi-Indicator Confirmation
This Pine Script indicator improves trend-following and trade signal accuracy by combining a Range Filter with MACD, RSI, Volume, and ATR confirmations. It is designed to help traders identify strong trends and breakout opportunities while filtering out noise.
📈 How It Works
1️⃣ Trend Detection (Range Filter)
• The Range Filter smooths price action and identifies trends by filtering out minor fluctuations.
• The indicator creates dynamic support and resistance bands:
• High Target Band (Resistance)
• Low Target Band (Support)
• Color Coding:
• White = Uptrend 📈
• Blue = Downtrend 📉
• Light Blue = Neutral ⚖️
2️⃣ Multi-Indicator Trade Confirmation
To avoid false signals, the script only generates Buy/Sell signals when multiple indicators agree:
✅ MACD: Checks if MACD Line is above or below the Signal Line for momentum confirmation.
✅ RSI: Ensures RSI is above 50 for long trades and below 50 for short trades.
✅ Volume: Requires a volume spike above the 20-period moving average for stronger signals.
✅ ATR (Volatility Check): Ensures ATR is higher than its 50-period SMA, signaling strong market movement.
💡 Only when all conditions align, a Buy or Sell signal is generated!
📊 How to Use It
1. Trend Analysis:
• When price is above the Range Filter (white line) → Uptrend
• When price is below the Range Filter (blue line) → Downtrend
2. Trade Signals:
• Buy Signal 🟢 appears when:
• Price breaks above the Range Filter
• MACD is bullish
• RSI > 50
• High volume and strong volatility
• Sell Signal 🔴 appears when:
• Price breaks below the Range Filter
• MACD is bearish
• RSI < 50
• High volume and strong volatility
3. Alerts 🔔:
• The script includes built-in alerts to notify traders when a Buy or Sell signal is triggered.
🎯 Best for Traders Who:
✔️ Want to identify strong trends early
✔️ Need extra confirmation to avoid false signals
✔️ Trade breakouts with high volume & momentum
✔️ Prefer visual trend coloring to track market direction
🚀 Try it out and refine your entries with multi-indicator validation!
Chonky ATR Levels 2.0Show ATR based high/low projections.
Choose a custom ATR calculation in the indicator's settings.
The default is a 20day RMA based ATR.
----------How projections are calculated----------
To project the ATR High, the ATR value is added to the low of the current candle that matches the ATR's timeframe.
To project the ATR Low, the ATR value is subtracted from the high of the current candle that matches the ATR's timeframe.
Example:
If a 20day RMA ATR is used:
- the ATR High will be the current day's low + the ATR value.
- the ATR Low will be the current day's high - the ATR value.
*However*, if the price action exceeds either ATR projection, the opposite ATR level will be fixed to the extreme of the period.
See the AUDUSD screenshot above for an example.
The ATR Low was exceeded, so the ATR High projection is capped at the high of day.
If the ATR High is exceeded, the ATR Low would be capped at the low of day.
Rachas ATR AssistHey Traders!
This indicator is a simple, it uses Average True Range (ATR) data from the daily chart and the current timeframe to estimate potential range and volatility.
This indicator compares the daily ATR to the current daily wick range (from low to high), helping you gauge how much "room" might be left for price movement within the day. Alongside that, it shows the ATR over the last 14 candles and 5 candles on your current chart for intraday volatility awareness—ideal for setting stops, targets, or position sizing.
Gauge Daily Potential Movement:
The "Day Range Difference" cell shows how much of the expected daily range (based on ATR) is still unfilled. If the market has moved less than the average, there's still potential for expansion. If it's close to or above the ATR, expect a slowdown or reversal.
Position Sizing & Stop Losses:
Use the 14-period ATR and 5-period ATR on your current timeframe to understand recent volatility. This helps in choosing logical stop loss levels and adjusting position sizes based on market conditions.
Volatility Awareness:
Knowing the average daily range and how much of it has been used lets you avoid entering trades too late in the move or placing stops in overly tight spots.
Table Position & Font:
You can adjust the table location (top/bottom left/right) and font size to best fit your chart layout.
Auto Buffer Prices (No Stairs)Shows where Topstep price limit goes into effect. 2% away up/down from 7% increase/decrease
Auto updates for everyday
Order Block Indicator | DTDHello trader comuunity!
I'm uploading a basic script that I felt necessary to make to help me with some gaps in my day trading. I personally am a visual trader that benefits greatly from automating some the ideas I have in my head. There are awesome builders out there and me creating this script isn't a knock on what's currently available to us, but something I wanted to be able to manage. I am opening up what I've found extremely helpful to my own trading to the community.
Here we have a very simple ATR-based order block (OB) finder. It's not anything original, but I do find consistent opportunities when combined with other tools I use to measure the market. It takes into consideration the previous 25 candles to determine if the OB is significant enough to mark. I use the average of 25 because I simply like it. I use the 25 EMA as part of my "trending" templates and find it to be a hybrid timeframe of sorts. You can find macro and micro trade locations by switching timeframes.
The main elements of the script are:
1. ATR based tracking | A bullish OB is defined as a down close candle that is eclipsed by an up-close candle that closes above its high and sustained for 2 consecutive candles. Inversely, a bearish OB is defined by an up-close candle immediately followed by a down-close candle that closes below the low of the up-close candle and sustains for 2 consecutive candles.
2. Coloring the OB | Though up-close and down-close define bearish and bullish levels, with this script I basically make OBs to switch colors based on where price is relative to the block. So a bullish block can become bearish and bearish can become bullish. Each block also has a dashed midpoint.
3. Order Block Mitigation | When price retests an OB by closing inside of it and retracing back out, that is considered mitigation. You will see price tap into it, but continues to track as a valid block, it's because it didn't close inside the block. This is subject to change in the future, but it's how the script functions for now.
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There are nuances to the script that you will see as you use it. Sometimes mitigated OBs act as levels to consider as well. When multiple blocks overlap I consider that a high traffic area. I would never suggest to use an indicator by itself for trade ideas, but blocks that align on multiple timeframes are good to consider.
At the end of the day it's a support and resistance measure. I'll comment an update with a snapshot of the indicator with another proprietary indicator I've made that provides ample intraday trading opportunities.
Cheers,
DTD
Trend Revenue Strategy Revenue StrategyThis trend-following strategy combines Bollinger Bands® with SMA trend confirmation. When price crosses the lower band during an uptrend (50-period SMA confirmation), it generates long signals. Conversely, when price crosses the upper band during a downtrend, short signals appear. The system includes adjustable stop-loss (0.5%-5%) and take-profit (1%-10%) parameters that calculate exit levels based on entry price. Visual alerts mark both entry signals (green up arrows for long, red down arrows for short) and exit events (white markers). The algorithm focuses on capturing trend continuations while managing risk through predefined exit thresholds.
该趋势跟踪策略结合了布林带®和SMA趋势确认机制。当价格在上升趋势（50周期SMA确认）中跌破布林带下轨时，生成多头信号；反之，当价格在下降趋势中突破布林带上轨时，触发空头信号。系统包含可调整的止损（0.5%-5%）和止盈（1%-10%）参数，根据入场价自动计算退出点位。视觉提示会标记入场信号（绿色↑箭头=多头，红色↓箭头=空头）和退出事件（白色标记）。该算法专注于捕捉趋势延续行情，同时通过预设的退出阈值管理风险。
MTF PRO ScreenerWell as we all know most of the time we find difficulty in tracking major indices/ instruments/ securities / Forex pairs / commodities on multi timeframe to figure the trade and many time when we realize the trade and we got late in entry and hamper our chances to get great R:R, so, this Indicator is your answer for the same in real time!
This screener will help you track 5 indices/ instruments/ securities / Forex pairs / commodities of your choice on multi timeframe i.e. 4 timeframes of your choice in Single screen.
Usage
• Customizable Table and Style settings
• Customizable indices/ instruments/ securities / Forex pairs / commodities you want select of
your choice up to 5.
• Customizable Time frame of Indicators in Table. Can change to higher or lower TF other than the chart time frame
• This will help to monitor the performance of various scripts.
Dashboard :
Shows Values of indices/ instruments/ securities / Forex pairs / commodities you want select of your choice upto 5 on different Timeframes.
You can customize it according to your needs for the markets/indexes you trade in.
Interpretation :-
TR: Trend based on RSI on basis of calculation I did to figure out overall trend on particular timeframe.
How to Read:
1. Green - Bullish
2. Blue - Uptrend
3. Red - Bearish
4. Orange - Downtrend
5. Gray background/Black light- No Trend
BB: Bollinger Band and VWAP: Volume weighted average Price
BB and VWAP Readings on Dashboard:
Bullish side
Green -> Bull Blast Upside
Blue - > Uptrend
Bearish Side
Orange -> Downtrend
Red -> Bear Blast Downside
Feel free to contribute/comment changes if any!
ATR Momentum HistogramATR Momentum Histogram is a simple yet powerful tool that combines price action, ATR volatility, and trend filters to visualize market momentum.
🔍 Key Features:
ATR Histogram Bars: Plots the Average True Range (ATR) as a histogram to highlight volatility expansion or contraction.
Momentum Filter: Compares current price and ATR with values from N bars ago to determine bullish or bearish momentum.
EMA Trend Filter: A 9-period EMA helps identify the prevailing trend and filters signals accordingly.
Color-Coded Bars:
🟢 Green: Strong bullish momentum (price and ATR rising above EMA)
🔴 Red: Strong bearish momentum (price and ATR falling below EMA)
🟢/🔴 Faded Bars: Weaker trend continuation with less conviction
📈 How to Use: Use this indicator to confirm trend strength, identify high-momentum breakout conditions, or avoid low-volatility chop zones. Works well as a secondary confirmation tool in trend-following or breakout strategies.
ADR DSRI 6ADR tool, this is a 5 day ADR that plots on the chart.
Code is adapted from ADR tool by as well as user JorgeSilvestrini's ADR tool. Code is OPEN SOURCE, and thus, presented AS IS. If you would like to change it, you are welcome to do so - yourself. Thank you.
I will update this indicator as i can, as it is a workhorse of my own trading toolkit. The next update will include alerts.
Plots todays ADR as total pips above high 100% line
Plots the pips achieved so far below low 100% line.
Plots table that shows what todays ADR is as a % basis. Statistically, you don't want to get into trades when the ADR is above 80% as its less likely to follow through. Therefore, anything above 80% achieved for the day will change the table colour to RED as a visual warning.
Plots additional table called "DSRI". This counter counts the days since we last hit 100% of the 5 day ADR. As this counter moves up, and the days since hitting 100% of the range, it tells you the market is consolidating and to expect an expansion. DSRI stands for "Days since raptor incident" aka 100% range hit, and the correct phrasing to check on a markets health with a friend would be to say "How many raptors are we at?". And if they reply anything above a 3, you know range expansion (aka a raptor attack) is imminent, and you should be on alert, and interested.
Accumulation/Distribution Money Flow🔍 Decoding Market Intent: The Ultimate Accumulation-Distribution Visualizer
In a market environment flooded with indicators, patterns, and noise, understanding the true intent behind price movement can be a game-changer. I’m excited to share a custom
TradingView script I've built that distils two of the most powerful market dynamics into a simple and clean visual format: Accumulation & Distribution (AD) and Volatility Compression (BB Squeeze).
This script is not just another volume-based oscillator or squeeze detector. It’s a sentiment decoder. Built to visually represent underlying accumulation and distribution phases, this tool helps traders identify where smart money is moving in—quietly buying in a sea of red—or exiting while the crowd is still bullish.
What makes it stand out?
✅ Clear Identification of Accumulation and Distribution Zones
No clutter. The visual representation lets you catch early signals of supply absorption or demand exhaustion.
✅ Integrated BB Squeeze Logic
Price consolidating with decreasing volatility? The script overlays squeeze signals so you don’t miss the moment when compression leads to expansion.
✅ Noise Filtering
By combining sentiment zones with volatility insight, false breakouts and misleading volume spikes become easier to filter out.
✅ Simple, Clean Layout
Designed to assist—not overwhelm—you, whether you're intraday scalping or positioning for a swing entry.
________________________________________
🛠 How to Use It:
1. Look for Green Zones (Accumulation):
These highlight potential demand areas—often when price isn't showing it obviously. Early long entries become visible here.
2. Look for Red Zones (Distribution):
Caution flags. Potential profit-booking or early signs of breakdowns when price still looks stable.
3. Pay Attention to BB Squeeze Signals:
Grey bands indicate compression. When these align with accumulation or distribution zones, explosive moves are likely ahead.
4. Use with Price Action:
This is not a buy/sell script. It’s an edge-enhancer. Pair it with your price action, support/resistance, or structure-based trading system.
________________________________________
This tool is for those who seek to read the tape between the candles. Whether you're a seasoned trader or refining your system, this can become a crucial part of your toolkit.
I've marked a very typical kind of trade this indicator can allow us to take, see the price movement and where the indicator is going? (Drawn trend lines in yellow, both on price chart and on the indicator window)
Let me know how you use it or if you’d like it enhanced further. Feedback and collaboration always welcome!
This is for education purpose only, any past performance is not indicative of the future success of the indicator.
Regards.
Smart Dynamic Levels [ATR-Based]Smart Dynamic Levels
Automated Support & Resistance Levels Based on Market Volatility
Overview:
This advanced indicator automatically plots dynamic support and resistance levels based on the Average True Range (ATR), creating meaningful price zones that adapt to changing market conditions. Unlike static round-number levels, these volatility-adjusted zones provide more relevant technical reference points.
Key Features:
Volatility-Responsive: Levels automatically adjust based on the asset's ATR
Smart Visualization:
Color gradient shows strength of each level (darker = stronger)
Bullish (green) levels below price, bearish (red) levels above
Customizable Settings:
Adjust ATR length (14-period default)
Modify level sensitivity with ATR multiplier (1.5x default)
Choose number of levels to display (5 above/below default)
Toggle labels and line extensions
How It Works:
Calculates the asset's true volatility using ATR
Rounds to significant price intervals based on current volatility
Plots equidistant levels above and below current price
Colors levels based on their position relative to price
Automatically updates as market conditions change
Recommended Use:
Day Trading: Identify intraday support/resistance zones
Swing Trading: Spot potential reversal areas
Breakout Trading: Watch for moves beyond key levels
Works on all markets: Stocks, Forex, Crypto, Futures
Settings Guide:
ATR Length: Higher values for smoother levels (14-20)
Multiplier: Increase for wider levels (1.5-3x)
Levels Count: More levels for higher timeframes (3-10)
Pro Tips:
Combine with trend analysis - levels are more significant when aligned with trend
Watch for price reactions at these levels for confirmation
Use wider levels (higher multiplier) for volatile assets
Percentage Premium ComparisonPercentage Price Comparison for different tickers. Set and compare who is in the drivers seat
Rolling ATR Momentum
Rolling ATR Momentum Indicator – User Manual
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🔍 Overview
The Rolling ATR Momentum Indicator is a simple yet powerful tool designed to detect shifts in market volatility. It compares the current Average True Range (ATR) with the ATR from a previous point in time to measure how market volatility is changing.
This indicator is especially useful for:
- Spotting the beginning or fading of a momentum phase
- Filtering out low-volatility market conditions
- Enhancing timing for entries and exits in trending or breakout trades
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📊 Key Components
✅ ATR Delta (Rolling)
- Definition: `ATR Delta = Current ATR - Past ATR`
- Inputs:
- ATR Period (default: 14): The base ATR calculation window
- Lookback Period (default: 5): How many bars ago to compare ATR
- Interpretation:
- Positive ATR Delta (Green Line): Market volatility is increasing
- Negative ATR Delta (Red Line): Market volatility is decreasing
📈 Zero Line
- A horizontal baseline at zero helps you easily see when ATR momentum shifts from negative to positive (or vice versa).
🟩/🟥 Background Color
- Green Background: ATR Delta is positive (rising volatility)
- Red Background: ATR Delta is negative (falling volatility)
🔵 Optional: ATR Reference Lines
- You can optionally display raw Current ATR and Past ATR by changing their visibility settings.
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✅ How to Use It
Entry Timing (Futures/Options)
- Use ATR Delta as a filter:
- Only take trades when ATR Delta is positive → confirms momentum is building
- Avoid trades when ATR Delta is negative → market might be slow, sideways, or losing steam
Breakout Anticipation
- A rising ATR Delta after a tight range or consolidation can suggest that a breakout is underway
Stop-loss Strategy
- Use high ATR periods for wider stops (to avoid noise)
- Use low ATR periods for tighter stops or skip trading
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🧠 Pro Tips
- This indicator doesn’t predict direction—combine with trend or price structure tools (like EMA, PPMA, candlesticks)
- Works best in trending or breakout environments
- Add it to multi-timeframe layouts to see volatility buildup on higher timeframes
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⚙️ Settings
| Parameter | Description |
|----------|-------------|
| ATR Period | Length of the ATR calculation (default 14) |
| Lookback Period | How many bars back to compare ATR values |
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🧭 Best For:
- Index futures (Nifty, BankNifty)
- Option buyers needing volatility confirmation
- Intraday & swing traders looking to trade momentum setups
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Use the Rolling ATR Momentum indicator as your volatility radar—simple, clean, and highly effective for staying on the right side of market energy.
End of Manual
Rolling ATR Momentum - EnhancedATR Rolling Momentum Indicator – User Manual
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🔍 Overview
The ATR Rolling Momentum Indicator is a dynamic volatility tool built on the Average True Range (ATR). It not only tracks increasing or decreasing momentum but also provides early warnings and confirmation signals for potential breakout moves. It’s especially powerful for futures and options traders looking to align with expanding price action.
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📊 Core Components
✅ ATR Delta (Rolling ATR)
- Definition: Difference between current ATR and past ATR (user-defined lookback).
- Use: Tells whether volatility is expanding (positive delta) or contracting (negative delta).
- Visual: Green line for rising momentum, red for declining.
🟣 ATR Delta Slope
- Definition: Measures acceleration in momentum.
- Use: Helps identify early signs of breakout buildup.
- Visual: Purple line. Watch for slope turning up from below.
🟡 Volatility Squeeze (Yellow Dot)
- Definition: Current ATR is significantly lower than its 20-period average.
- Use: Indicates the market is coiling—possible breakout ahead.
🔼 Momentum Start (Green Triangle)
- Definition: ATR Delta slope turns from negative to positive.
- Use: Early warning to prepare for volatility expansion.
🔷 Breakout Confirmation (Blue Label Up)
- Definition: ATR Delta exceeds its high of the last 10 candles.
- Use: Confirms volatility breakout—trade opportunity if direction aligns.
🟩/🟥 Background Color
- Green Background: Momentum rising (positive ATR delta)
- Red Background: Momentum falling (negative ATR delta)
- Yellow Tint: Active squeeze zone
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✅ How to Use It (Futures/Options Focus)
Step-by-Step:
1. Squeeze Detected (Yellow Dot) → Stay alert. Market is coiling.
2. Green Triangle Appears → Momentum is starting to rise.
3. Background Turns Green → Confirmed rising momentum.
4. Blue Label Appears → Confirmed breakout (enter trade if trend aligns).
Directional Bias:
- Use your main chart setup (price action, EMAs, trendlines, etc.) to decide direction (Call or Put, Long or Short).
- ATR Momentum only tells you how strong the move is—not which way.
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⚙️ Inputs & Settings
- ATR Period: Default 14 (core volatility measure)
- Rolling Lookback: Used to calculate delta (default 5)
- Slope Length: Used to measure acceleration (default 3)
- Squeeze Factor: Default 0.8 — lower = more sensitive squeeze detection
- Breakout Lookback: Checks ATR delta against last X bars (default 10)
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🧠 Pro Tips
- Works great when paired with EMA stacks, price structure, or breakout patterns.
- Avoid taking trades based only on squeeze or momentum—combine with chart confirmation.
- If background turns red after a breakout, it may be losing momentum—book partials or tighten stops.
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🧭 Ideal For:
- Nifty/BankNifty Futures
- Option directional trades (call/put buying)
- Index scalping and momentum swing setups
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Use this tool as your volatility compass—it won't tell you where to go, but it'll tell you when the wind is strong enough to move fast.
End of Manual
