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Average True Range (ATR)

25-75 Percentile SuperTrend | Mattes25-75 Percentile SuperTrend | Mattes Overview The 25-75 Percentile SuperTrend is an advanced trend-following indicator that enhances the traditional SuperTrend concept by incorporating percentile-based smoothing. Instead of using a simple moving average or median price, this indicator calculates the 25th and 75th percentiles over a user-defined period. These percentiles act as dynamic trend levels, adjusting more responsively to price volatility while reducing noise. How It’s Calculated Percentile Smoothing: The 25th percentile of the selected source (low-end smoothing). The 75th percentile of the selected source (high-end smoothing). SuperTrend Logic: The upper band is set at the 75th percentile + ATR multiplier. The lower band is set at the 25th percentile - ATR multiplier. The trend flips when the price crosses above/below these dynamic bands. Signal Generation : A bullish trend occurs when price remains above the lower band. A bearish trend occurs when price remains below the upper band. Trend shifts are highlighted with colored bars and lines for easy visualization. How It Differs From Traditional SuperTrend Uses Percentiles Instead of a Moving Average: Traditional SuperTrend relies on ATR-based offsets from a moving average. This version replaces the moving average with percentile smoothing, which adapts better to price behavior. Better Noise Filtering: Since percentiles are less sensitive to outliers, this indicator reduces false signals in choppy markets. More Adaptive to Market Conditions: The percentile smoothing dynamically adjusts trend detection based on price distribution rather than fixed calculations. Why It’s Useful ✅ Reduces Whipsaws: Helps minimize false breakouts by using percentile-based bands instead of traditional ATR-only bands. ✅ Works in Different Market Conditions: Effective in both trending and ranging environments due to its adaptive nature. ✅ Enhances Trend Confidence: Provides clearer signals by filtering noise more effectively than standard SuperTrend indicators. Application Examples Trend Following: Use it to identify strong upward or downward trends. Stop-Loss Placement: The upper and lower bands can serve as dynamic stop-loss levels. Breakout Confirmation: Trend flips can confirm breakout signals from other indicators. Mean Reversion Strategy Filtering: The 25-75 range helps identify strong versus weak reversals. Risks & Disclaimers Not a Standalone Strategy: This indicator should be used with other confirmation tools like volume analysis, momentum oscillators, or support/resistance levels. False Signals in Sideways Markets: Although it reduces noise, choppy markets can still generate occasional false trend flips. Market Adaptation Required: The best parameters may vary depending on the asset and timeframe. This indicator was heavily inspired and influenced by the IRS/viResearch Median SuperTrend, improving upon its concept by transforming its median based calculation into a more responsive & effective counterpart of its former self. Shoutout to all my Masterclass Brothers and L4 Gs !
Pine Script™ indicator
by Mattes00
EMA ivis Breakout StrategyA proven strategy combines exponential moving averages (EMAs) with a breakout filter to trade only in clear market trends. I originally developed this for BTCUSD, but it also works well with other assets. Exit Rules: Stop-Loss: 1.5 times the ATR below/above the entry price. Take-Profit: 2 times the ATR above/below the entry point. Time Filter: The indicator provides signals only during the defined trading hours. You can adjust these settings manually. This strategy is best applied in the 15-minute timeframe. Eine bewährte Strategie kombiniert gleitende Durchschnitte (EMAs) mit einem Breakout-Filter, um nur bei klaren Markttrends zu handeln. Entwickelt habe ich diese für BTCUSD, funktioniert aber auch in anderen Assets. Ausstiegsregeln: Für den Stop-Loss: 1,5-fache ATR unterhalb/oberhalb des Einstiegskurses. Für den Take-Profit: 2-fache ATR über/unter dem Einstiegspunkt Zeit Filter: Der Indikator liefert nur in der definierten Handelszeit Signale. Diese können SIe selbstständig in den Einstellungen verändern. Die Strategie kann man bestens in 15min anwenden. :-)
Pine Script™ indicator
by Hexometra
Volatility-Volume Index (VVI)Volatility-Volume Index (VVI) – Indicator Description The Volatility-Volume Index (VVI) is a custom trading indicator designed to identify market consolidation and anticipate breakouts by combining volatility (ATR) and trading volume into a single metric. How It Works Measures Volatility : Uses a 14-period Average True Range (ATR) to gauge price movement intensity. Tracks Volume : Monitors trading activity to identify accumulation or distribution phases. Normalization : ATR and volume are normalized using their respective 20-period Simple Moving Averages (SMA) for a balanced comparison. ​ Interpretation VVI < 1: Low volatility and volume → Consolidation phase (range-bound market). VVI > 1: Increased volatility and/or volume → Potential breakout or trend continuation. How to Use VVI Detect Consolidation: Look for extended periods where VVI remains below 1. Confirm with sideways price movement in a narrow range. Anticipate Breakouts: A spike above 1 signals a possible trend shift or breakout. Why Use VVI? Unlike traditional volatility indicators (ATR, Bollinger Bands) or volume-based tools (VWAP), VVI combines both elements to provide a clearer picture of consolidation zones and breakout potential.
Pine Script™ indicator
by evanmilo029
1
Custom SL/TP ZonesThe "Please Don't Stop Me Now" Indicator 📊 Ever found yourself staring at a chart, thinking "This is DEFINITELY the bottom!" only to watch your stop loss get hit faster than your ex replacing you? Well, this indicator won't stop that from happening, but at least you'll know exactly where you're going to be wrong! 🎯 How it works: See a setup you like? Pick your candle of choice (make sure it's closed - we're not fortune tellers here) Hit either Bull or Bear (choose wisely, or don't - we all know it's 50/50 anyway) 3. Marvel at the beautiful boxes showing your: Take Profit Zone (where you'll exit too early) Stop Loss Zone (where you'll probably exit, let's be honest) Features: Uses ATR for dynamic zones because "one size fits all" only works in disappointing Halloween costumes Extends 10 bars into the future, giving you plenty of time to watch your prediction go wrong Price labels included so you know exactly where to set your alerts (and subsequently ignore them) Customizable multipliers for when you're feeling extra brave (or foolish) Clean interface that won't distract you from your bad decisions Remember: The market can stay irrational longer than you can stay solvent, but at least with this indicator, you'll know exactly where your rationality ends and your "This time it's different" begins! Happy Trading! (Results may vary, tears not included) Settings: TP Multiplier: How far to your dreams (Default: 4.0) SL Multiplier: How far to your nightmares (Default: 2.0) Bar Offset: Pick your poison (1 = last closed bar) Colors: Because trading isn't painful enough in grayscale
Pine Script™ indicator
by mindyourbuisness
1
Smart MA Crossover BacktesterSmart MA Crossover Backtester - Strategy Overview Strategy Name: Smart MA Crossover Backtester Published on: TradingView Applicable Markets: Works well on crypto (tested profitably on ETH) Strategy Concept The Smart MA Crossover Backtester is an improved Moving Average (MA) crossover strategy that incorporates a trend filter and an ATR-based stop loss & take profit mechanism for better risk management. It aims to capture trends efficiently while reducing false signals by only trading in the direction of the long-term trend. Core Components & Logic Moving Averages (MA) for Entry Signals Fast Moving Average (9-period SMA) Slow Moving Average (21-period SMA) A trade signal is generated when the fast MA crosses the slow MA. Trend Filter (200-period SMA) Only enters long positions if price is above the 200-period SMA (bullish trend). Only enters short positions if price is below the 200-period SMA (bearish trend). This helps in avoiding counter-trend trades, reducing whipsaws. ATR-Based Stop Loss & Take Profit Uses the Average True Range (ATR) with a multiplier of 2 to calculate stop loss. Risk-Reward Ratio = 1:2 (Take profit is set at 2x ATR). This ensures dynamic stop loss and take profit levels based on market volatility. Trading Rules ✅ Long Entry (Buy Signal): Fast MA (9) crosses above Slow MA (21) Price is above the 200 MA (bullish trend filter active) Stop Loss: Below entry price by 2× ATR Take Profit: Above entry price by 4× ATR ✅ Short Entry (Sell Signal): Fast MA (9) crosses below Slow MA (21) Price is below the 200 MA (bearish trend filter active) Stop Loss: Above entry price by 2× ATR Take Profit: Below entry price by 4× ATR Why This Strategy Works Well for Crypto (ETH)? 🔹 Crypto markets are highly volatile – ATR-based stop loss adapts dynamically to market conditions. 🔹 Long-term trend filter (200 MA) ensures trading in the dominant direction, reducing false signals. 🔹 Risk-reward ratio of 1:2 allows for profitable trades even with a lower win rate. This strategy has been tested on Ethereum (ETH) and has shown profitable performance, making it a strong choice for crypto traders looking for trend-following setups with solid risk management. 🚀
Pine Script™ strategy
by pratik-r
1
True Range & ATRDescription : This indicator plots both the True Range (TR) and the Average True Range (ATR) in a separate pane below the main chart. - TR represents the absolute price movement range within each candle. - ATR is a smoothed version of TR over a user-defined period (default: 14), providing insight into market volatility. - TR is displayed as a histogram for a clearer view of individual candle ranges. - ATR is plotted as a line to show the smoothed trend of volatility. This indicator helps traders assess market volatility and potential price movements.
Pine Script™ indicator
by dharmendrakawasthi
ATR Trailing Stop by GideonMATR Trailing Stop Indicator This ATR Trailing Stop Indicator is designed for traders who wish to enhance their exit strategies by leveraging volatility-based stops. It offers a systematic approach to trend management and risk control, enabling traders to capture extended trends while protecting their capital during market reversals. Works on Indian Indices as well. Overview: The ATR Trailing Stop indicator is a dynamic trend-following tool that adjusts stop levels based on market volatility. By incorporating the Average True Range (ATR), the indicator provides a flexible exit strategy that adapts to changing market conditions, helping traders lock in profits during trends and limit losses during reversals. How It Works: True Range and ATR Calculation: The indicator first calculates the True Range (TR) for each bar, defined as the maximum of: The difference between the high and low, The absolute difference between the high and the previous close, and The absolute difference between the low and the previous close. Using the TR values, the ATR is computed over a user-defined period (default is 14 bars) with an option to use either a Simple Moving Average (SMA) or an Exponential Moving Average (EMA) as the smoothing method. Trailing Stop Determination: Two potential stop levels are calculated: For an uptrend, the stop is determined as: Stop = Close – (Multiplier × ATR) For a downtrend, the stop is: Stop = Close + (Multiplier × ATR) The indicator maintains a persistent trailing stop that dynamically adjusts: In an uptrend, the trailing stop only moves upward (or remains flat) to secure gains. In a downtrend, it only moves downward, thereby protecting the position from excessive losses. A reversal in trend is identified when the price crosses the trailing stop level, at which point the indicator flips the trend and resets the stop level accordingly. Rationale: Utilizing the ATR for trailing stops ensures that the stop levels are directly influenced by market volatility. This dynamic adjustment helps accommodate the natural price fluctuations of the market, providing a more adaptive risk management tool compared to fixed stop-loss levels. The approach is particularly useful in volatile markets where traditional static stops might be triggered prematurely. Customization: Key parameters that can be adjusted include: ATR Period: The number of bars used to calculate the ATR. ATR Multiplier: The factor that determines how far the trailing stop is set from the current price. Smoothing Method: Option to choose between SMA and EMA for ATR calculation, allowing traders to tailor the sensitivity of the indicator to their specific trading style.
Pine Script™ indicator
by GideonMetre
AI Volume Breakout for scalpingPurpose of the Indicator This script is designed for trading, specifically for scalping, which involves making numerous trades within a very short time frame to take advantage of small price movements. The indicator looks for volume breakouts, which are moments when trading volume significantly increases, potentially signaling the start of a new price movement. Key Components: Parameters: Volume Threshold (volumeThreshold): Determines how much volume must increase from one bar to the next for it to be considered significant. Set at 4.0, meaning volume must quadruplicate for a breakout signal. Price Change Threshold (priceChangeThreshold): Defines the minimum price change required for a breakout signal. Here, it's 1.5% of the bar's opening price. SMA Length (smaLength): The period for the Simple Moving Average, which helps confirm the trend direction. Here, it's set to 20. Cooldown Period (cooldownPeriod): Prevents signals from being too close together, set to 10 bars. ATR Period (atrPeriod): The period for calculating Average True Range (ATR), used to measure market volatility. Volatility Threshold (volatilityThreshold): If ATR divided by the close price exceeds this, the market is considered too volatile for trading according to this strategy. Calculations: SMA (Simple Moving Average): Used for trend confirmation. A bullish signal is more likely if the price is above this average. ATR (Average True Range): Measures market volatility. Lower volatility (below the threshold) is preferred for this strategy. Signal Generation: The indicator checks if: Volume has increased significantly (volumeDelta > 0 and volume / volume >= volumeThreshold). There's enough price change (math.abs(priceDelta / open) >= priceChangeThreshold). The market isn't too volatile (lowVolatility). The trend supports the direction of the price change (trendUp for bullish, trendDown for bearish). If all these conditions are met, it predicts: 1 (Bullish) if conditions suggest buying. 0 (Bearish) if conditions suggest selling. Cooldown Mechanism: After a signal, the script waits for a number of bars (cooldownPeriod) before considering another signal to avoid over-trading. Visual Feedback: Labels are placed on the chart: Green label for bullish breakouts below the low price. Red label for bearish breakouts above the high price. How to Use: Entry Points: Look for the labels on your chart to decide when to enter trades. Risk Management: Since this is for scalping, ensure each trade has tight stop-losses to manage risk due to the quick, small movements. Market Conditions: This strategy might work best in markets with consistent volume and price changes but not extreme volatility. Caveats: This isn't real AI; it's a heuristic based on volume and price. Actual AI would involve machine learning algorithms trained on historical data. Always backtest any strategy, and consider how it behaves in different market conditions, not just the ones it was designed for.
Pine Script™ indicator
by TRADING-ARMOUR
14
Johnny's Volatility-Driven Trend Identifier w/ Reversal SignalsJohnny's Volatility-Driven Trend Identifier w/ Reversal Signals is designed to identify high-probability trend shifts and reversals by incorporating volatility, momentum, and impulse-based filtering. It is specifically built for traders who want to capture strong trend movements while minimizing false signals caused by low volatility noise. By leveraging Rate of Change (ROC), Relative Strength Index (RSI), and Average True Range (ATR)-based volatility detection, the indicator dynamically adapts to market conditions. It highlights breakout trends, reversals, and early signs of momentum shifts using strategically placed labels and color-coded trend visualization. Inspiration taken from Top G indicator . What This Indicator Does The Volatility-Driven Trend Identifier works by: Measuring Market Extremes & Momentum: Uses ROC normalization with standard deviation to identify impulse moves in price action. Implements RSI filtering to determine overbought/oversold conditions that validate trend strength. Utilizes ATR-based volatility tracking to ensure signals only appear when meaningful market movements are occurring. Identifying Key Trend Events: Power Peak (🔥): Marks a confirmed strong downtrend, ideal for shorting opportunities. Surge (🚀): Indicates a confirmed strong uptrend, signaling a potential long entry. Soft Surge (↗): Highlights a mild bullish reentry or early uptrend formation. Soft Peak (↘): Shows a mild bearish reentry or early downtrend formation. Providing Adaptive Filtering for Reliable Signals: Filters out weak trends with a volatility check, ensuring signals appear only in strong market conditions. Implements multi-level confirmation by combining trend strength metrics, preventing false breakouts. Uses gradient-based visualization to color-code market sentiment for quick interpretation. What This Indicator Signals Breakouts & Impulse Moves: 🚀🔥 The Surge (🚀) and Power Peak (🔥) labels indicate confirmed momentum breakouts, where the trend has been validated by a combination of ROC impulse, RSI confirmation, and ATR volatility filtering. These signals suggest that the market is entering a strong trend, and traders can align their entries accordingly. Early Trend Formation & Reentries: ↗ ↘ The Soft Surge (↗) and Soft Peak (↘) labels indicate areas where a trend might be forming, but is not yet fully confirmed. These signals help traders anticipate potential entries before the trend gains full strength. Volatility-Adaptive Trend Filtering: 📊 Since the indicator only activates in volatile conditions, it avoids the pitfalls of low-range choppy markets where false signals frequently occur. ATR-driven adaptive windowing allows the indicator to dynamically adjust its sensitivity based on real-time volatility conditions. How to Use This Indicator 1. Identifying High-Probability Entries Bullish Entries (Long Trades) Look for 🚀 Surge signals in an uptrend. Confirm with RSI (should be above 50 for momentum). Ensure volatility is increasing to validate the breakout. Use ↗ Soft Surge signals for early entries before the trend fully confirms. Bearish Entries (Short Trades) Look for 🔥 Power Peak signals in a downtrend. RSI should be below 50, indicating downward momentum. Volatility should be rising, ensuring market momentum is strong. Use ↘ Soft Peak signals for early entries before a full bearish confirmation. 2. Avoiding False Signals Ignore signals when the market is ranging (low ATR). Check RSI and ROC alignment to ensure trend confirmation. Use additional confluences (e.g., price action, support/resistance levels, moving averages) for enhanced accuracy. 3. Trend Confirmation & Filtering The stronger the trend, the higher the likelihood that Surge (🚀) and Power Peak (🔥) signals will continue in their direction. Soft Surge (↗) and Soft Peak (↘) act as early warning signals before major breakouts occur. What Makes This a Machine Learning-Inspired Moving Average? While this indicator is not a direct implementation of machine learning (as Pine Script lacks AI/ML capabilities), it mimics machine learning principles by adapting dynamically to market conditions using the following techniques: Adaptive Trend Selection: It does not rely on fixed moving averages but instead adapts dynamically based on volatility expansion and momentum detection. ATR-based filtering adjusts the indicator’s sensitivity to real-time conditions. Multi-Factor Confirmation (Feature Engineering Equivalent in ML): Combines ROC, RSI, and ATR in a structured way, similar to how ML models use multiple inputs to filter and classify data. Implements conditional trend recognition, ensuring that only valid signals pass through the filter. Noise Reduction with Data Smoothing: The algorithm avoids false signals by incorporating trend intensity thresholds, much like how ML models remove outliers to refine predictions. Adaptive filtering ensures that low-volatility environments do not produce misleading signals. Why Use This Indicator? ✔ Reduces False Signals: Multi-factor validation ensures only high-confidence signals are triggered. ✔ Works in All Market Conditions: Volatility-adaptive nature allows the indicator to perform well in both trending and ranging markets. ✔ Great for Swing & Intraday Trading: It helps spot momentum shifts early and allows traders to catch major market moves before they fully develop. ✔ Visually Intuitive: Color-coded trends and clear signal markers make it easy to interpret.
Pine Script™ indicator
by JonathanLeyva
1
Auto-Adjusting Kalman Filter by TenozenNew year, new indicator! Auto-Adjusting Kalman Filter is an indicator designed to provide an adaptive approach to trend analysis. Using the Kalman Filter (a recursive algorithm used in signal processing), this algo dynamically adjusts to market conditions, offering traders a reliable way to identify trends and manage risk! In other words, it's a remaster of my previous indicator, Kalman Filter by Tenozen. What's the difference with the previous indicator (Kalman Filter by Tenozen)? The indicator adjusts its parameters (Q and R) in real-time using the Average True Range (ATR) as a measure of market volatility. This ensures the filter remains responsive during high-volatility periods and smooth during low-volatility conditions, optimizing its performance across different market environments. The filter resets on a user-defined timeframe, aligning its calculations with dominant trends and reducing sensitivity to short-term noise. This helps maintain consistency with the broader market structure. A confidence metric, derived from the deviation of price from the Kalman filter line (measured in ATR multiples), is visualized as a heatmap: Green : Bullish confidence (higher values indicate stronger trends). Red : Bearish confidence (higher values indicate stronger trends). Gray : Neutral zone (low confidence, suggesting caution). This provides a clear, objective measure of trend strength. How it works? The Kalman Filter estimates the "true" price by filtering out market noise. It operates in two steps, that is, prediction and update. Prediction is about projection the current state (price) forward. Update is about adjusting the prediction based on the latest price data. The filter's parameters (Q and R) are scaled using normalized ATR, ensuring adaptibility to changing market conditions. So it means that, Q (Process Noise) increases during high volatility, making the filter more responsive to price changes and R (Measurement Noise) increases during low volatility, smoothing out the filter to avoid overreacting to minor fluctuations. Also, the trend confidence is calculated based on the deviation of price from the Kalman filter line, measured in ATR multiples, this provides a quantifiable measure of trend strength, helping traders assess market conditions objectively. How to use? Use the Kalman Filter line to identify the prevailing trend direction. Trade in alignment with the filter's slope for higher-probability setups. Look for pullbacks toward the Kalman Filter line during strong trends (high confidence zones) Utilize the dynamic stop-loss and take-profit levels to manage risk and lock in profits Confidence Heatmap provides an objective measure of market sentiment, helping traders avoid low-confidence (neutral) zones and focus on high-probability opportunities Guess that's it! I hope this indicator helps! Let me know if you guys got some feedback! Ciao!
Pine Script™ indicator
by Tenozen
1
ATR BeamsATR Beams is a simple indicator that utilizes the ATR to determine levels above and below price action that can serve as stop loss or trailing visual aids across all instruments. This indicator is preset to an ATR value of 14 and a multiplier of 1 for the ATR. Both of these parameters can be modified to your specific trading preference, the color and indicator line style can both also be modified to your visual preference. I hope this provides you with a good visual aid
Pine Script™ indicator
by SauceSlinger
IU Range Trading StrategyIU Range Trading Strategy The IU Range Trading Strategy is designed to identify range-bound markets and take trades based on defined price ranges. This strategy uses a combination of price ranges and ATR (Average True Range) to filter entry conditions and incorporates a trailing stop-loss mechanism for better trade management. User Inputs: - Range Length: Defines the number of bars to calculate the highest and lowest price range (default: 10). - ATR Length: Sets the length of the ATR calculation (default: 14). - ATR Stop-Loss Factor: Determines the multiplier for the ATR-based stop-loss (default: 2.00). Entry Conditions: 1. A range is identified when the difference between the highest and lowest prices over the selected range is less than or equal to 1.75 times the ATR. 2. Once a valid range is formed: - A long trade is triggered at the range high. - A short trade is triggered at the range low. Exit Conditions: 1. Trailing Stop-Loss: - The stop-loss adjusts dynamically using ATR targets. - The strategy locks in profits as the trade moves in your favor. 2. The stop-loss and take-profit levels are visually plotted for transparency and easier decision-making. Features: - Automated box creation to visualize the trading range. - Supports one position at a time, canceling opposite-side entries. - ATR-based trailing stop-loss for effective risk management. - Clear visual representation of stop-loss and take-profit levels with colored bands. This strategy works best in markets with defined ranges and can help traders identify breakout opportunities when the price exits the range.
Pine Script™ strategy
by Shivam_Mandrai
hector mena Breakout Trading with ATR, RSI and MA CrossTitle: Breakout Trading Strategy with ATR, RSI, and Moving Average Cross Description (English): This script combines key technical indicators—ATR (Average True Range), RSI (Relative Strength Index), and Moving Averages—to provide a comprehensive breakout trading strategy. It is designed to help traders identify significant breakout levels and confirm signals with momentum and trend analysis. How It Works: ATR for Breakout Levels: The ATR is used to calculate dynamic breakout levels by adjusting the highest resistance and lowest support levels with a customizable multiplier. This ensures that breakout levels adapt to market volatility. RSI for Momentum Confirmation: The RSI identifies overbought and oversold conditions, providing an additional layer of confirmation for breakouts. A breakout accompanied by an RSI signal can indicate stronger momentum. Moving Average Cross for Trend Validation: Two simple moving averages (short-term and long-term) are included to validate the trend. A crossover suggests a potential change in trend, aligning with breakout signals. Why Combine These Indicators? The ATR ensures breakout levels are realistic and volatility-adjusted. The RSI avoids false signals by confirming if the price has momentum during a breakout. Moving Average crossovers add trend-following confirmation, helping traders align with market direction. The combination provides a robust framework to filter out false signals and improve the reliability of trading decisions. Key Features: Breakout Levels: Upper and lower breakout levels dynamically calculated using ATR. RSI Confirmation: Visual overbought (70) and oversold (30) levels and RSI plot. Trend Validation: Short and long-term moving averages plotted on the chart with crossover signals. Visual Alerts: Clear "BUY" and "SELL" labels for actionable signals. Custom Alerts: Configurable alerts for breakouts and moving average crossovers. How to Use It: Adjust the parameters (ATR length, multiplier, RSI length, and moving averages) based on your trading strategy. Look for "BUY" signals when: Price breaks above the resistance level, and RSI indicates oversold conditions. Moving averages cross bullishly. Look for "SELL" signals when: Price breaks below the support level, and RSI indicates overbought conditions. Moving averages cross bearishly. Use alerts for automated notifications about potential trades. Notes: This script is intended for educational purposes. Use it alongside proper risk management techniques and backtesting. Always test in demo mode before applying it to live trading.
Pine Script™ indicator
by hmenaverse
P T Supertrend CustomPT Supertrend Custom Indicator Description The PT Supertrend Custom indicator is a dual Supertrend-based tool designed to help traders identify market trends and potential reversals with enhanced accuracy. This custom indicator plots two Supertrend lines with different ATR (Average True Range) lengths and multipliers, providing a broader perspective on price movements across varying market conditions. Key Features: 1. Dual Supertrend Lines: - The indicator calculates two separate Supertrend values using customizable ATR lengths (default: 7 and 21) and factors (default: 3.0 for both). - This dual-layered approach helps identify both short-term and long-term trends for better decision-making. 2. Customizable Parameters: - ATR Length (ATR Length & ATR Length2): Determines the lookback period for volatility calculation. - Factor (Factor & Factor2): Defines the multiplier for the ATR, controlling the sensitivity of the Supertrend lines. 3. Visual Trend Representation: - Green and red line plots represent uptrends and downtrends, respectively. - The indicator overlays on the price chart, offering a clear visual representation of trend direction. - Trend fill areas provide additional clarity, with green shading for uptrends and red shading for downtrends. 4. Dynamic Trend Shifts: - The indicator adapts dynamically based on price action, switching from an uptrend to a downtrend and vice versa when conditions change. - Two independent trend signals allow traders to compare short-term and long-term trend confirmations. 5. Overlay on Price Chart: - The indicator is plotted directly on the price chart for easy visualization without cluttering the workspace. How to Use: - Trend Identification: - A green Supertrend line below price indicates an uptrend. - A red Supertrend line above price signals a downtrend. - When both Supertrends align, it indicates a strong trend; divergence may signal potential reversals. - Entry & Exit Signals: - Consider long positions when both Supertrend lines turn green. - Consider short positions when both Supertrend lines turn red. - Use the shorter ATR period for quicker entries and exits, while the longer ATR period provides confirmation. - Risk Management: - The Supertrend lines can serve as dynamic support/resistance levels for placing stop-loss orders. Best Used In: - Trend-following strategies - Swing trading and day trading - Volatile markets where ATR-based signals are effective This indicator provides a comprehensive view of market trends by combining short- and long-term trend filters, making it a valuable tool for traders seeking precision and clarity in their trading decisions. Created by Prince Thomas
Pine Script™ indicator
by urakathprince
Uptrick: Zero Lag HMA Trend Suite1. Name and Purpose Uptrick: Zero Lag HMA Trend Suite is a Pine Version 6 script that builds upon the Hull Moving Average (HMA) to offer an advanced trend analysis tool. Its purpose is to help traders identify trend direction, potential reversals, and overall market momentum with reduced lag compared to traditional moving averages. By combining the HMA with Average True Range (ATR) thresholds, slope-dependent coloring, Volume Weighted Average Price (VWAP) ribbons, and optional reversal signals, the script aims to give a detailed view of price activity in various market environments. 2. Overview This script begins with the calculation of a Hull Moving Average, a method that blends Weighted Moving Averages in a way designed to cut down on lag while still smoothing out price fluctuations. Next, several enhancements are applied. The script compares current HMA values to previous ones for slope-based coloring, which highlights uptrends and downtrends at a glance. It also plots buy and sell signals when price moves beyond or below thresholds determined by the ATR and the user’s chosen signal multiplier. An optional VWAP ribbon can be shown to confirm bullish or bearish conditions relative to a volume-weighted benchmark. Additionally, the script can plot reversal signals (labeled with B) at points where price crosses back toward the HMA from above or below. Taken together, these elements allow traders to visualize both the short-term momentum and the broader context of how price interacts with volatility and overall market direction. 3. Why These Indicators Have Been Linked Together The reason the Hull Moving Average, the Average True Range, and the VWAP have been integrated into one script is to tackle multiple facets of market analysis in a single tool. The Zero Lag Hull Moving Average provides a responsive trend line, the ATR offers a measure of volatility that helps distinguish significant price shifts from typical fluctuations, and the VWAP acts as a reference for fair value based on traded volume. By layering all three, the script helps traders avoid the need to juggle multiple separate indicators and offers a holistic perspective. The slope-based coloring focuses on trend direction, the ATR-based thresholds refine possible buy and sell zones, and the VWAP ribbons provide insight into how price stands relative to an important volume-weighted level. The inclusion of up and down signals and reversal B labels further refines entries and exits. 4. Why Use Uptrick: Zero Lag HMA Trend Suite The Hull Moving Average is already known for reacting more quickly to price changes compared to other moving averages while retaining a degree of smoothness. This suite enhances the basic HMA by showing colored gradients that make it easy to spot trend direction changes, highlighting potential entry or exit points based on volatility-driven thresholds, and optionally layering a volume-based measure of bullish or bearish market sentiment. By relying on a zero lag approach and additional data points, the script caters to those wanting a more responsive method of identifying shifts in market dynamics. The added reversal signals and up or down alerts give traders extra confirmation for potential turning points. 5. How This Extension Improves on the Basic HMA This extension not only plots the Hull Moving Average but also includes data-driven alerts and visual cues that traditional HMA lines do not provide. First, it offers multi-layered slope coloring, making up or down trends quickly apparent. Second, it uses ATR-based thresholds to pinpoint moments when price may be extending beyond normal volatility, thus generating buy or sell signals. Third, the script introduces an optional VWAP ribbon to indicate whether the market is trading above or below this pivotal volume-weighted benchmark, adding a further confirmation step for bullish or bearish conditions. Finally, it incorporates optional reversal signals labeled with B, indicating points where price might swing back toward the main HMA line. 6. Core Components The script can be broken down into several primary functions and features. a. Zero Lag HMA Calculation Uses two Weighted Moving Averages (half-length and full-length) combined through a smoothing step based on the square root of the chosen length. This approach is designed to reduce lag significantly compared to other moving averages. b. Slope Detection Compares current and prior HMA values to determine if the trend is up or down. The slope-based coloring changes between turquoise shades for upward movement and magenta shades for downward movement, making trend direction immediately visible. c. ATR-Based Thresholding for Up and Down Signals The script calculates an Average True Range over a user-defined period, then multiplies it by a signal factor to form two bands around the HMA. When price crosses below the lower band, an up (buy) signal appears; when it crosses above the upper band, a down (sell) signal is shown. d. Reversal Signals (B Labels) Tracks when price transitions back toward the main HMA from an extreme zone. When enabled, these reversal points are labeled with a B and can help traders see potential turning points or mean-reversion setups. e. VWAP Bands An optional Volume Weighted Average Price ribbon that plots above or below the HMA, indicating bullish or bearish conditions relative to a volume-weighted price benchmark. This can also act as a kind of support/ resistance. 7. User Inputs a. HMA Length Controls how quickly the moving average responds to price changes. Shorter lengths react faster but can lead to more frequent signals, whereas longer lengths produce smoother lines. b. Source Specifies the price input, such as close or an alternative source, for the calculation. This can help align the HMA with specific trading strategies. c. ATR Length and Signal Multiplier Defines how the script calculates average volatility and sets thresholds for buy or sell alerts. Adjusting these values can help filter out noise or highlight more aggressive signals. d. Slope Index Determines how many bars to look back for detecting slope direction, influencing how sensitive the slope coloring is to small fluctuations. e. Show Buy and Sell Signals, Reversal Signals, and VWAP Lets users toggle the display of these features. Turning off certain elements can reduce chart clutter if traders prefer a simpler layout. 8. Calculation Process The script’s calculation follows a step-by-step approach. It first computes two Weighted Moving Averages of the selected price source, one over half the specified length and one over the full length. It then combines these using 2*wma1 minus wma2 to reduce lag, followed by applying another weighted average using the square root of the length. Simultaneously, it computes the ATR for a user-defined period. By multiplying ATR by the signal multiplier, it establishes upper and lower bands around the HMA, where crossovers generate buy (up) or sell (down) signals. The script can also plot reversal signals (B labels) when price crosses back from these bands in the opposite direction. For the optional VWAP feature, Pine Script’s ta.vwap function is used, and differences between the HMA and VWAP levels determine the color and opacity of the ribbon. 9. Signal Generation and Filtering The ATR-based thresholds reduce the influence of small, inconsequential price swings. When price falls below the lower band, the script issues an up (buy) signal. If price breaks above the upper band, a down (sell) signal appears. These signals are visible through labels placed near the bars. Reversal signals, labeled with B, can be turned on to help detect when price retraces from an extended area back toward the main HMA line. Traders can disable or enable these signals to match their preferred level of chart detail or risk tolerance. 10. Visualization on the Chart The Zero HMA Lag Trend Suite aims for visual clarity. The HMA line is plotted multiple times with increasing transparency to create a gradient effect. Turquoise gradients indicate upward slopes, and magenta gradients signify downward slopes. Bar coloring can be configured to align with the slope direction, providing quick insight into current momentum. When enabled, buy or sell labels are placed under or above the bars as price crosses the ATR-defined boundaries. If the reversal option is active, B labels appear around areas where price changes direction. The optional VWAP ribbons form background bands, using distinct coloration to signal whether price is above or below the volume-weighted metric. 11. Market Adaptability Because the script’s parameters (HMA length, ATR length, signal multiplier, and slope index) are user-configurable, it can adapt to a wide range of markets and timeframes. Intraday traders may prefer a shorter HMA length for quick signals, while swing or position traders might use a longer HMA length to filter out short-lived price changes. The source setting can also be adjusted, allowing for specialized data inputs beyond just close or open values. 12. Risk Management Considerations The script’s signals and labels are based on past price data and volatility readings, and they do not guarantee profitable outcomes. Sharp market reversals or unforeseen fundamental events can produce false signals. Traders should combine this tool with broader risk management strategies, including stop-loss placement, position sizing, and independent market analyses. The Zero HMA Lag Trend Suite can help highlight potential opportunities, but it should not be relied upon as the sole basis for trade decisions. 13. Combining with Other Tools Many traders choose to verify signals from the Zero HMA Lag Trend Suite using popular indicators like the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), or even simple volume-based metrics to confirm whether a price movement has sufficient momentum. Conventional techniques such as support and resistance levels, chart patterns, or candlestick analysis can also supplement signals generated by the script’s up, down, or reversal B labels. 14. Parameter Customization and Examples a. Short-Term Day Trading Using a shorter HMA length (for instance, 9 or 14) and a slightly higher ATR multiplier might provide timely buy and sell signals, though it may also produce more whipsaws in choppy markets. b. Swing or Position Trading Selecting a longer HMA length (such as 50 or 100) with a moderate ATR multiplier can help users track more significant and sustained market moves, potentially reducing the effect of minor fluctuations. c. Multiple Timeframe Blends Some traders load two versions of the indicator on the same chart, one for short-term signals (with frequent B label reversals) and another for the broader trend direction, aligning entry and exit decisions with the bigger picture. 15. Realistic Expectations Even though the Hull Moving Average helps minimize lag and the script incorporates volatility-based filters and optional VWAP overlays, it cannot predict future market behavior with complete accuracy. Periods of low liquidity or sudden market shocks can still lead to signals that do not reflect longer-term trends. Frequent parameter review and manual confirmation are advised before executing trades based solely on the script’s outputs. 16. Theoretical Background The Hull Moving Average formula aims to balance smoothness with reactivity, accomplished by combining Weighted Moving Averages at varying lengths. By subtracting a slower average from a faster one and then applying another smoothing step with the square root of the original length, the HMA is designed to respond more promptly to price changes than typical exponential or simple moving averages. The ATR component, introduced by J. Welles Wilder, calculates the average range of price movement over a user-defined period, allowing the script to assess volatility and adapt signals accordingly. VWAP provides a volume-weighted benchmark that many institutional traders track to gauge fair intraday value. 17. Originality and Uniqueness Although multiple HMA-based indicators can be found, Uptrick: Zero Lag HMA Trend Suite sets itself apart by merging slope-based coloring, ATR thresholds, VWAP ribbons, up or down labels, and optional reversal signals all in one cohesive platform. This synergy aims to reduce chart clutter while still giving traders a comprehensive look at trend direction, volatility, and volume-based sentiment. 18. Summary Uptrick: Zero Lag HMA Trend Suite is a specialized trading script designed to highlight potential market trends and reversals with minimal delay. It leverages the Hull Moving Average for an adaptive yet smooth price line, pairs ATR-based thresholds for detecting possible breakouts or dips, and provides VWAP-based ribbons for added volume-weighted context. Traders can further refine their entries and exits by enabling up or down signals and reversal labels (B) where price may revert toward the HMA. Suitable for a wide range of timeframes and instrument types, the script encourages a disciplined approach to trade management and risk control. 19. Disclaimer This script is provided for informational and educational purposes only. Trading and investing involve significant financial risk, and no indicator can guarantee success under all conditions. Users should practice robust risk management, including the placement of stop losses and position sizing, and should confirm signals with additional analysis tools. The developer of this script assumes no liability for any trading decisions or outcomes resulting from its use.
Pine Script™ indicator
by Uptrick
10
Composite Indicator (CCI + ATR)Composite Indicator (CCI + ATR) The Composite Indicator (CCI + ATR) combines the Commodity Channel Index (CCI) with the Average True Range (ATR) , providing traders with a dynamic tool for identifying entry and exit points based on momentum and volatility. This indicator is particularly useful for markets like cryptocurrencies, which often exhibit sharp sell-offs and gradual upward trends. Key Features Momentum Analysis with CCI: The CCI calculates price momentum by comparing the current price level to its average over a specific period. The indicator generates signals when CCI crosses predefined thresholds. - Buy Signal: Triggered when CCI crosses above the lower threshold (e.g., -100). - Sell Signal: Triggered when CCI crosses below the upper threshold (e.g., +100). Volatility Filtering with ATR: The ATR measures market volatility, ensuring signals occur only during significant price movements. Separate multipliers for buy and sell signals allow tailored filtering based on market behavior. Stop Loss Calculation: Dynamic stop loss levels are calculated using the ATR multiplier to adapt to market volatility, offering better risk management. How It Works CCI Calculation: The CCI is calculated using the typical price ((High + Low + Close) / 3) and a user-defined length. It detects momentum changes by measuring deviations from the average price. ATR Calculation: The ATR determines the average price range over a specified period, identifying the market’s volatility. The ATR SMA acts as a baseline to filter signals. Buy Signal: A buy signal is triggered when: - CCI crosses above the lower threshold (e.g., -100). - ATR exceeds its SMA multiplied by the buy multiplier (e.g., 1.0). Sell Signal: A sell signal is triggered when: - CCI crosses below the upper threshold (e.g., +100). - ATR exceeds its SMA multiplied by the sell multiplier (e.g., 0.95). Stop Loss Integration: - Long positions: Stop loss = Low – (ATR * ATR Multiplier) - Short positions: Stop loss = High + (ATR * ATR Multiplier) Advantages Combines momentum (CCI) and volatility (ATR) for precise signal generation. Customizable thresholds and multipliers for different market conditions. Dynamic stop loss ensures better risk management in volatile markets. Suggested Parameter Settings CCI Length: 20 (default). Adjust as follows: - 10–15: Shorter timeframes (e.g., 5-15 minutes). - 20: General use for 1-hour timeframes. - 30–50: Longer timeframes (e.g., 4-hour or daily charts). CCI Threshold: 100 (default). Adjust as follows: - 50–75: For more frequent signals in ranging markets. - 100: Balanced for most trading conditions. - 150–200: For strong trends to reduce noise. ATR Length: 14 (default). Adjust as follows: - 10–14: For assets with moderate volatility. - 20: For assets with lower volatility. ATR Buy Multiplier: 1.0 (default). Adjust as follows: - 0.9–1.0: For gradual uptrends in crypto markets. - 1.1–1.2: For stronger trend filtering. ATR Sell Multiplier: 0.95 (default). Adjust as follows: - 0.8–0.95: For sharp sell-offs. - 1.0–1.1: For stable downward trends. ATR Multiplier (Stop Loss): 1.5 (default). Adjust as follows: - 1.0–1.2: For shorter timeframes or less volatile markets. - 2.0–2.5: For highly volatile markets like cryptocurrencies. Example Use Cases Scalping (5-15 minute charts): Use CCI Length = 10, CCI Threshold = 75, ATR Buy Multiplier = 0.9, ATR Sell Multiplier = 0.8. Day Trading (1-hour charts): Use CCI Length = 20, CCI Threshold = 100, ATR Buy Multiplier = 1.0, ATR Sell Multiplier = 0.95. Swing Trading (4-hour or daily charts): Use CCI Length = 30, CCI Threshold = 150, ATR Buy Multiplier = 1.2, ATR Sell Multiplier = 1.0. Final Thoughts The Composite Indicator (CCI + ATR) is a versatile tool designed to enhance trading decisions by combining momentum analysis with volatility filtering. Whether scalping or swing trading, this indicator provides actionable insights and robust risk management to navigate complex markets effectively.
Pine Script™ indicator
by CharLi0t
Volume profile [Signals] - By Leviathan [Mindyourbuisness]Market Sessions and Volume Profile with Sweep Signals - Based on Leviathan's Volume Profile This indicator is an enhanced version of Leviathan's Volume Profile indicator, adding session-based value area analysis and sweep detection signals. It combines volume profile analysis with market structure concepts to identify potential reversal opportunities. Features - Session-based volume profiles (Daily, Weekly, Monthly, Quarterly, Yearly) - Forex sessions support (Tokyo, London, New York) - Value Area analysis with POC, VAH, and VAL levels - Extended level visualization for the last completed session - Sweep detection signals for key value area levels Sweep Signals Explanation The indicator detects two types of sweeps at VAH, VAL, and POC levels: Bearish Sweeps (Red Triangle Down) Conditions: - Price makes a high above the level (VAH/VAL/POC) - Closes below the level - Closes below the previous candle's low - Previous candle must be bullish Trading Implication: Suggests a failed breakout and potential reversal to the downside. These sweeps often indicate stop-loss hunting above key levels followed by institutional selling. Bullish Sweeps (Green Triangle Up) Conditions: - Price makes a low below the level (VAH/VAL/POC) - Closes above the level - Closes above the previous candle's high - Previous candle must be bearish Trading Implication: Suggests a failed breakdown and potential reversal to the upside. These sweeps often indicate stop-loss hunting below key levels followed by institutional buying. Trading Guidelines 1. Use sweep signals in conjunction with the overall trend 2. Look for additional confirmation like: - Volume surge during the sweep - Price action patterns - Support/resistance levels 3. Consider the session's volatility and time of day 4. More reliable signals often occur at VAH and VAL levels 5. POC sweeps might indicate stronger reversals due to their significance as fair value levels Notes - The indicator works best on higher timeframes (1H and above) - Sweep signals are more reliable during active market hours - Consider using multiple timeframe analysis for better confirmation - Past performance is not indicative of future results Credits: Original Volume Profile indicator by Leviathan
Pine Script™ indicator
by mindyourbuisness
2
Sunil BB Blast Heikin Ashi StrategySunil BB Blast Heikin Ashi Strategy The Sunil BB Blast Heikin Ashi Strategy is a trend-following trading strategy that combines Bollinger Bands with Heikin-Ashi candles for precise market entries and exits. It aims to capitalize on price volatility while ensuring controlled risk through dynamic stop-loss and take-profit levels based on a user-defined Risk-to-Reward Ratio (RRR). Key Features: Trading Window: The strategy operates within a user-defined time window (e.g., from 09:20 to 15:00) to align with market hours or other preferred trading sessions. Trade Direction: Users can select between Long Only, Short Only, or Long/Short trade directions, allowing flexibility depending on market conditions. Bollinger Bands: Bollinger Bands are used to identify potential breakout or breakdown zones. The strategy enters trades when price breaks through the upper or lower Bollinger Band, indicating a possible trend continuation. Heikin-Ashi Candles: Heikin-Ashi candles help smooth price action and filter out market noise. The strategy uses these candles to confirm trend direction and improve entry accuracy. Risk Management (Risk-to-Reward Ratio): The strategy automatically adjusts the take-profit (TP) level and stop-loss (SL) based on the selected Risk-to-Reward Ratio (RRR). This ensures that trades are risk-managed effectively. Automated Alerts and Webhooks: The strategy includes automated alerts for trade entries and exits. Users can set up JSON webhooks for external execution or trading automation. Active Position Tracking: The strategy tracks whether there is an active position (long or short) and only exits when price hits the pre-defined SL or TP levels. Exit Conditions: The strategy exits positions when either the take-profit (TP) or stop-loss (SL) levels are hit, ensuring risk management is adhered to. Default Settings: Trading Window: 09:20-15:00 This setting confines the strategy to the specified hours, ensuring trading only occurs during active market hours. Strategy Direction: Default: Long/Short This allows for both long and short trades depending on market conditions. You can select "Long Only" or "Short Only" if you prefer to trade in one direction. Bollinger Band Length (bbLength): Default: 19 Length of the moving average used to calculate the Bollinger Bands. Bollinger Band Multiplier (bbMultiplier): Default: 2.0 Multiplier used to calculate the upper and lower bands. A higher multiplier increases the width of the bands, leading to fewer but more significant trades. Take Profit Multiplier (tpMultiplier): Default: 2.0 Multiplier used to determine the take-profit level based on the calculated stop-loss. This ensures that the profit target aligns with the selected Risk-to-Reward Ratio. Risk-to-Reward Ratio (RRR): Default: 1.0 The ratio used to calculate the take-profit relative to the stop-loss. A higher RRR means larger profit targets. Trade Automation (JSON Webhooks): Allows for integration with external systems for automated execution: Long Entry JSON: Customizable entry condition for long positions. Long Exit JSON: Customizable exit condition for long positions. Short Entry JSON: Customizable entry condition for short positions. Short Exit JSON: Customizable exit condition for short positions. Entry Logic: Long Entry: The strategy enters a long position when: The Heikin-Ashi candle shows a bullish trend (green close > open). The price is above the upper Bollinger Band, signaling a breakout. The previous candle also closed higher than it opened. Short Entry: The strategy enters a short position when: The Heikin-Ashi candle shows a bearish trend (red close < open). The price is below the lower Bollinger Band, signaling a breakdown. The previous candle also closed lower than it opened. Exit Logic: Take-Profit (TP): The take-profit level is calculated as a multiple of the distance between the entry price and the stop-loss level, determined by the selected Risk-to-Reward Ratio (RRR). Stop-Loss (SL): The stop-loss is placed at the opposite Bollinger Band level (lower for long positions, upper for short positions). Exit Trigger: The strategy exits a trade when either the take-profit or stop-loss level is hit. Plotting and Visuals: The Heikin-Ashi candles are displayed on the chart, with green candles for uptrends and red candles for downtrends. Bollinger Bands (upper, lower, and basis) are plotted for visual reference. Entry points for long and short trades are marked with green and red labels below and above bars, respectively. Strategy Alerts: Alerts are triggered when: A long entry condition is met. A short entry condition is met. A trade exits (either via take-profit or stop-loss). These alerts can be used to trigger notifications or webhook events for automated trading systems. Notes: The strategy is designed for use on intraday charts but can be applied to any timeframe. It is highly customizable, allowing for tailored risk management and trading windows. The Sunil BB Blast Heikin Ashi Strategy combines two powerful technical analysis tools (Bollinger Bands and Heikin-Ashi candles) with strong risk management, making it suitable for both beginners and experienced traders. Feebacks are welcome from the users.
Pine Script™ strategy
by sunilsenapati
Multi-Timeframe Volatility ATR - [by Oberlunar]This script (for now in beta release) is specifically designed for scalping or traders operating on lower timeframes (if you are in a timeframe of one minute wait one minute to collect statistics). Its primary purpose is to provide detailed insights into market volatility by calculating the ATR (Average True Range) and its percentage changes, allowing traders to quickly identify shifts in market conditions. The ATR is calculated across six user-defined timeframes, which can include very short intervals such as 5 or 15 seconds. This setup enables real-time monitoring of volatility, which is critical for scalping strategies. The script collects a rolling history of the last five ATR values for each timeframe. These historical values are used to calculate percentage changes by comparing the current ATR with the oldest value in the history, offering a clear view of how volatility is evolving over time. Percentage changes are displayed dynamically in a table, with color-coded feedback to indicate the direction of the change: green for increases, red for decreases, and gray for stability or insufficient data. This visual representation makes it easy to spot whether market volatility is rising or falling at a glance. By progressively collecting data, the script becomes increasingly effective as more ATR values are accumulated. This functionality is especially useful for traders on lower timeframes, where rapid changes in volatility can signal breakout opportunities or shifts in market dynamics. Soon I will update personalized ATR parameters, and lookback strategies for statistics.
Pine Script™ indicator
by oberlunar_tr