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Volume MAs Supertrend | Lyro RS📊 Volume MAs Supertrend | Lyro RS is an advanced trading tool that combines volume-adjusted moving averages with a dynamic Supertrend system. This indicator provides a robust framework for identifying market trends and entry/exit points. ✨ Key Features : 📈 Volume-Weighted Moving Averages (VWMA): Integrates price and volume data to provide a more accurate moving average, allowing for better trend analysis. 🔧 Multiple MA Types: Choose from SMA, EMA, WMA, VWMA, DEMA, TEMA, RMA, HMA, ALMA to suit your preferred trading strategy. 📊 Dual-Multiplier Supertrend System: Uses ATR to dynamically calculate upper and lower bands for long and short trends, with distinct multipliers for each. 🎨 Customizable Color Schemes: Choose from Classic, Mystic, Accented, and Royal color palettes or customize your own colors for bullish and bearish trends. 🔍 Visual Enhancements: Color-coded Supertrend lines, candlesticks, and bars for quick trend identification. ⏰ Alert System: Alerts for long and short signals based on trend changes. 🔧 How It Works : The Supertrend line is calculated using ATR over a user-defined period, with separate multipliers for long and short positions. 📈 A bullish trend is signaled when the price crosses above the upper band, and a bearish trend is signaled when the price crosses below the lower band. 🎨 The Supertrend line changes color to reflect trend direction, with candlesticks and bars matching the trend's color for visual clarity. ⚙️ Customization Options : 🛠️ Moving Average Settings: Select your preferred moving average type (SMA, EMA, VWMA, etc.) and adjust the length for smoother or more responsive trend signals. 📐 Supertrend Parameters: Define the ATR period and adjust multipliers to fine-tune sensitivity for long and short signals. 🎨 Color Configuration: Choose from predefined color palettes or create your own custom scheme for trend signals. 📈 Use Cases : ✅ Confirm market trends before entering trades. 🚪 Identify potential entry/exit points as trend directions shift. 👀 Visually analyze market conditions with color-coded candlesticks and bars. ⚠️ Disclaimer : This indicator should not be used as a standalone tool for making trading decisions. Always combine with other forms of analysis and risk management practices.
Penunjuk Pine Script®
oleh LyroRS
2
Heiken Ashi Supertrend ADXHeiken Ashi Supertrend ADX Indicator Overview This indicator combines the power of Heiken Ashi candles, Supertrend indicator, and ADX filter to identify strong trend movements across multiple timeframes. Designed primarily for the cryptocurrency market but adaptable to any tradable asset, this system focuses on capturing momentum in established trends while employing a sophisticated triple-layer stop loss mechanism to protect capital and secure profits. Strategy Mechanics Entry Signals The strategy uses a unique blend of technical signals to identify high-probability trade entries: Heiken Ashi Candles: Looks specifically for Heiken Ashi candles with minimal or no wicks, which signal strong momentum and trend continuation. These "full-bodied" candles represent periods where price moved decisively in one direction with minimal retracement. These are overlayed onto normal candes for more accuarte signalling and plotting Supertrend Filter: Confirms the underlying trend direction using the Supertrend indicator (default factor: 3.0, ATR period: 10). Entries are aligned with the prevailing Supertrend direction. ADX Filter (Optional) : Can be enabled to focus only on stronger trending conditions, filtering out choppy or ranging markets. When enabled, trades only trigger when ADX is above the specified threshold (default: 25). Exit Signals Positions are closed when either: An opposing signal appears (Heiken Ashi candle with no wick in the opposite direction) Any of the three stop loss mechanisms are triggered Triple-Layer Stop Loss System The strategy employs a sophisticated three-tier stop loss approach: ATR Trailing Stop: Adapts to market volatility and locks in profits as the trend extends. This stop moves in the direction of the trade, capturing profit without exiting too early during normal price fluctuations. Swing Point Stop: Uses natural market structure (recent highs/lows over a lookback period) to place stops at logical support/resistance levels, honoring the market's own rhythm. Insurance Stop: A percentage-based safety net that protects against sudden adverse moves immediately after entry. This is particularly valuable when the swing point stop might be positioned too far from entry, providing immediate capital protection. Optimization Features Customizable Filters : All components (Supertrend, ADX) can be enabled/disabled to adapt to different market conditions Adjustable Parameters : Fine-tune ATR periods, Supertrend factors, and ADX thresholds Flexible Stop Loss Settings : Each of the three stop loss mechanisms can be individually enabled/disabled with customizable parameters Best Practices for Implementation [Recommended Timeframes : Works best on 4-hour charts and above, where trends develop more reliably Market Conditions: Performs well across various market conditions due to the ADX filter's ability to identify meaningful trends Performance Characteristics When properly optimized, this has demonstrated profit factors exceeding 3 in backtesting. The approach typically produces generous winners while limiting losses through its multi-layered stop loss system. The ATR trailing stop is particularly effective at capturing extended trends, while the insurance stop provides immediate protection against adverse moves. The visual components on the chart make it easy to follow the strategy's logic, with position status, entry prices, and current stop levels clearly displayed. This indicator represents a complete trading system with clearly defined entry and exit rules, adaptive stop loss mechanisms, and built-in risk management through position sizing.
Penunjuk Pine Script®
oleh RohanSmith
3
Heiken Ashi Supertrend ADX - StrategyHeiken Ashi Supertrend ADX Strategy Overview This strategy combines the power of Heiken Ashi candles, Supertrend indicator, and ADX filter to identify strong trend movements across multiple timeframes. Designed primarily for the cryptocurrency market but adaptable to any tradable asset, this system focuses on capturing momentum in established trends while employing a sophisticated triple-layer stop loss mechanism to protect capital and secure profits. Strategy Mechanics Entry Signals The strategy uses a unique blend of technical signals to identify high-probability trade entries: Heiken Ashi Candles: Looks specifically for Heiken Ashi candles with minimal or no wicks, which signal strong momentum and trend continuation. These "full-bodied" candles represent periods where price moved decisively in one direction with minimal retracement. Supertrend Filter : Confirms the underlying trend direction using the Supertrend indicator (default factor: 3.0, ATR period: 10). Entries are aligned with the prevailing Supertrend direction. ADX Filter (Optional) : Can be enabled to focus only on stronger trending conditions, filtering out choppy or ranging markets. When enabled, trades only trigger when ADX is above the specified threshold (default: 25). Exit Signals Positions are closed when either: An opposing signal appears (Heiken Ashi candle with no wick in the opposite direction) Any of the three stop loss mechanisms are triggered Triple-Layer Stop Loss System The strategy employs a sophisticated three-tier stop loss approach: ATR Trailing Stop: Adapts to market volatility and locks in profits as the trend extends. This stop moves in the direction of the trade, capturing profit without exiting too early during normal price fluctuations. Swing Point Stop : Uses natural market structure (recent highs/lows over a lookback period) to place stops at logical support/resistance levels, honoring the market's own rhythm. Insurance Stop: A percentage-based safety net that protects against sudden adverse moves immediately after entry. This is particularly valuable when the swing point stop might be positioned too far from entry, providing immediate capital protection. Optimization Features Customizable Filters: All components (Supertrend, ADX) can be enabled/disabled to adapt to different market conditions Adjustable Parameters: Fine-tune ATR periods, Supertrend factors, and ADX thresholds Flexible Stop Loss Settings: Each of the three stop loss mechanisms can be individually enabled/disabled with customizable parameters Best Practices for Implementation Recommended Timeframes: Works best on 4-hour charts and above, where trends develop more reliably Market Conditions: Performs well across various market conditions due to the ADX filter's ability to identify meaningful trends Position Sizing: The strategy uses a percentage of equity approach (default: 3%) for position sizing Performance Characteristics When properly optimized, this strategy has demonstrated profit factors exceeding 3 in backtesting. The approach typically produces generous winners while limiting losses through its multi-layered stop loss system. The ATR trailing stop is particularly effective at capturing extended trends, while the insurance stop provides immediate protection against adverse moves. The visual components on the chart make it easy to follow the strategy's logic, with position status, entry prices, and current stop levels clearly displayed. This strategy represents a complete trading system with clearly defined entry and exit rules, adaptive stop loss mechanisms, and built-in risk management through position sizing.
Strategi Pine Script®
oleh RohanSmith
1
Bollinger Bands + Supertrend by XoediacBollinger Bands with Supertrend Indicator by Xeodiac This script combines two powerful technical analysis tools — Bollinger Bands and the Supertrend Indicator — to provide traders with a comprehensive view of market volatility and trend direction. Bollinger Bands: These bands consist of a middle band (the simple moving average, or SMA) and two outer bands (calculated as standard deviations away from the middle). The upper and lower bands act as dynamic support and resistance levels, expanding during high volatility and contracting during low volatility. Supertrend Indicator: The Supertrend is a trend-following indicator that uses the Average True Range (ATR) to calculate an adaptive threshold, indicating whether the market is in an uptrend or downtrend. The indicator changes color based on the trend direction, providing clear buy and sell signals. Features of the Script: Volatility-based Signals : By incorporating the Bollinger Bands, the script adjusts to market volatility. Traders can identify periods of high and low volatility, helping to gauge potential price breakouts or reversals. Trend Confirmation: The Supertrend helps confirm the trend direction, ensuring that trades are aligned with the overall market trend. Green Supertrend signals indicate an uptrend, while red signals indicate a downtrend. Enhanced Decision-making: By using both indicators together, traders can make more informed decisions. For instance, buying opportunities are validated when the price is near the lower Bollinger Band, and the Supertrend is in a bullish phase, and vice versa for selling. Customizable Parameters: The script allows users to customize the settings for both the Bollinger Bands and the Supertrend, enabling fine-tuning based on trading preferences or market conditions. Ideal Use Cases: Identifying trend reversals or continuation patterns in trending markets. Monitoring price action during periods of low volatility for breakout opportunities. Filtering out false signals by combining volatility with trend strength.
Penunjuk Pine Script®
oleh Xeodiac
7
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 !
Penunjuk Pine Script®
oleh Mattes00
6
DAILY Supertrend + EMA Crossover with RSI FilterThis strategy is a technical trading approach that combines multiple indicators—Supertrend, Exponential Moving Averages (EMAs), and the Relative Strength Index (RSI)—to identify and manage trades. Core Components: 1. Exponential Moving Averages (EMAs): Two EMAs, one with a shorter period (fast) and one with a longer period (slow), are calculated. The idea is to spot when the faster EMA crosses above or below the slower EMA. A fast EMA crossing above the slow EMA often suggests upward momentum, while crossing below suggests downward momentum. 2. Supertrend Indicator: The Supertrend uses Average True Range (ATR) to establish dynamic support and resistance lines. These lines shift above or below price depending on the prevailing trend. When price is above the Supertrend line, the trend is considered bullish; when below, it’s considered bearish. This helps ensure that the strategy trades only in the direction of the overall trend rather than against it. 3. RSI Filter: The RSI measures momentum. It helps avoid buying into markets that are already overbought or selling into markets that are oversold. For example, when going long (buying), the strategy only proceeds if the RSI is not too high, and when going short (selling), it only proceeds if the RSI is not too low. This filter is meant to improve the quality of the trades by reducing the chance of entering right before a reversal. 4. Time Filters: The strategy only triggers entries during user-specified date and time ranges. This is useful if one wants to limit trading activity to certain trading sessions or periods with higher market liquidity. 5. Risk Management via ATR-based Stops and Targets: Both stop loss and take profit levels are set as multiples of the ATR. ATR measures volatility, so when volatility is higher, both stops and profit targets adjust to give the trade more breathing room. Conversely, when volatility is low, stops and targets tighten. This dynamic approach helps maintain consistent risk management regardless of market conditions. Overall Logic Flow: - First, the market conditions are analyzed through EMAs, Supertrend, and RSI. - When a buy (long) condition is met—meaning the fast EMA crosses above the slow EMA, the trend is bullish according to Supertrend, and RSI is below the specified “overbought” threshold—the strategy initiates or adds to a long position. - Similarly, when a sell (short) condition is met—meaning the fast EMA crosses below the slow EMA, the trend is bearish, and RSI is above the specified “oversold” threshold—it initiates or adds to a short position. - Each position is protected by an automatically calculated stop loss and a take profit level based on ATR multiples. Intended Result: By blending trend detection, momentum filtering, and volatility-adjusted risk management, the strategy aims to capture moves in the primary trend direction while avoiding entries at excessively stretched prices. Allowing multiple entries can potentially amplify gains in strong trends but also increases exposure, which traders should consider in their risk management approach. In essence, this strategy tries to ride established trends as indicated by the Supertrend and EMAs, filter out poor-quality entries using RSI, and dynamically manage trade risk through ATR-based stops and targets.
Strategi Pine Script®
oleh Mohamed_Abbas
Hyperbolic Tangent SuperTrend [InvestorUnknown]The Hyperbolic Tangent SuperTrend (HTST) is designed for technical analysis, particularly in markets with assets that have lower prices or price ratios. This indicator leverages the Hyperbolic Tangent Moving Average (HTMA), a custom moving average calculated using the hyperbolic tangent function, to smooth price data and reduce the impact of short-term volatility. Hyperbolic Tangent Moving Average (HTMA): The indicator's core uses a hyperbolic tangent function to calculate a smoothed average of the price. The HTMA provides enhanced trend-following capabilities by dampening the impact of sharp price swings and maintaining a focus on long-term market movements. The hyperbolic tangent function (tanh) is commonly used in mathematical fields like calculus, machine learning and signal processing due to its properties of “squashing” inputs into a range between -1 and 1. The function provides a non-linear transformation that can reduce the impact of extreme values while retaining a certain level of smoothness. tanh(x) => e_x = math.exp(x) e_neg_x = math.exp(-x) (e_x - e_neg_x) / (e_x + e_neg_x) The HTMA is calculated by taking the difference between the price and its simple moving average (SMA), applying a multiplier to control sensitivity, and then transforming it using the hyperbolic tangent function. htma(src, len, mul) => tanh_src = tanh((src - ta.sma(src, len)) * mul) * ta.stdev(src, len) + ta.sma(src, len) htma = ta.sma(tanh_src, len) Important Note: The Hyperbolic Tangent function becomes less accurate with very high prices. For assets priced above 100,000, the results may deteriorate, and for prices exceeding 1 million, the function may stop functioning properly. Therefore, this indicator is better suited for assets with lower prices or lower price ratios. SuperTrend Calculation: In addition to the HTMA, the indicator includes an Average True Range (ATR)-based SuperTrend calculation, which helps identify uptrends and downtrends in the market. The SuperTrend is adjusted dynamically using the HTMA to avoid false signals in fast-moving markets. The ATR period and multiplier are customizable, allowing users to fine-tune the sensitivity of the trend signals. pine_supertrend(src, calc_price, atrPeriod, factor) => atr = ta.atr(atrPeriod) upperBand = src + factor * atr lowerBand = src - factor * atr prevLowerBand = nz(lowerBand ) prevUpperBand = nz(upperBand ) lowerBand := lowerBand > prevLowerBand or calc_price < prevLowerBand ? lowerBand : prevLowerBand upperBand := upperBand < prevUpperBand or calc_price > prevUpperBand ? upperBand : prevUpperBand int _direction = na float superTrend = na prevSuperTrend = superTrend if na(atr ) _direction := 1 else if prevSuperTrend == prevUpperBand _direction := calc_price > upperBand ? -1 : 1 else _direction := calc_price < lowerBand ? 1 : -1 superTrend := _direction == -1 ? lowerBand : upperBand Inbuilt Backtest Mode: The HTST includes an inbuilt backtest mode that enables users to test the indicator's performance against historical data, similar to TradingView strategies. The backtest mode allows you to compare the performance of different indicator settings with a simple buy and hold strategy to assess its effectiveness in different market conditions. Hint Table for Display Modes: The indicator includes a Hint Table that recommends the best pane to use for different display modes. For example, it suggests using the "Overlay" mode in the same pane as the price action, while the "Backtest Mode" is better suited for a separate pane. This ensures a more organized and clear visual experience. The Hint Table appears as a small table at the bottom of the chart with easy-to-follow recommendations, ensuring the best setup for both visual clarity and indicator functionality. With these features, the Hyperbolic Tangent SuperTrend Indicator offers traders a versatile and customizable tool for analyzing price trends while providing additional functionalities like backtesting and display mode hints for optimal usability.
Penunjuk Pine Script®
oleh InvestorUnknown
1
Trend Deviation strategy - BTC [IkkeOmar]Intro: This is an example if anyone needs a push to get started with making strategies in pine script. This is an example on BTC, obviously it isn't a good strategy, and I wouldn't share my own good strategies because of alpha decay. This strategy integrates several technical indicators to determine market trends and potential trade setups. These indicators include: Directional Movement Index (DMI) Bollinger Bands (BB) Schaff Trend Cycle (STC) Moving Average Convergence Divergence (MACD) Momentum Indicator Aroon Indicator Supertrend Indicator Relative Strength Index (RSI) Exponential Moving Average (EMA) Volume Weighted Average Price (VWAP) It's crucial for you guys to understand the strengths and weaknesses of each indicator and identify synergies between them to improve the strategy's effectiveness. Indicator Settings: DMI (Directional Movement Index): Length: This parameter determines the number of bars used in calculating the DMI. A higher length may provide smoother results but might lag behind the actual price action. Bollinger Bands: Length: This parameter specifies the number of bars used to calculate the moving average for the Bollinger Bands. A longer length results in a smoother average but might lag behind the price action. Multiplier: The multiplier determines the width of the Bollinger Bands. It scales the standard deviation of the price data. A higher multiplier leads to wider bands, indicating increased volatility, while a lower multiplier results in narrower bands, suggesting decreased volatility. Schaff Trend Cycle (STC): Length: This parameter defines the length of the STC calculation. A longer length may result in smoother but slower-moving signals. Fast Length: Specifies the length of the fast moving average component in the STC calculation. Slow Length: Specifies the length of the slow moving average component in the STC calculation. MACD (Moving Average Convergence Divergence): Fast Length: Determines the number of bars used to calculate the fast EMA (Exponential Moving Average) in the MACD. Slow Length: Specifies the number of bars used to calculate the slow EMA in the MACD. Signal Length: Defines the number of bars used to calculate the signal line, which is typically an EMA of the MACD line. Momentum Indicator: Length: This parameter sets the number of bars over which momentum is calculated. A longer length may provide smoother momentum readings but might lag behind significant price changes. Aroon Indicator: Length: Specifies the number of bars over which the Aroon indicator calculates its values. A longer length may result in smoother Aroon readings but might lag behind significant market movements. Supertrend Indicator: Trendline Length: Determines the length of the period used in the Supertrend calculation. A longer length results in a smoother trendline but might lag behind recent price changes. Trendline Factor: Specifies the multiplier used in calculating the trendline. It affects the sensitivity of the indicator to price changes. RSI (Relative Strength Index): Length: This parameter sets the number of bars over which RSI calculates its values. A longer length may result in smoother RSI readings but might lag behind significant price changes. EMA (Exponential Moving Average): Fast EMA: Specifies the number of bars used to calculate the fast EMA. A shorter period results in a more responsive EMA to recent price changes. Slow EMA: Determines the number of bars used to calculate the slow EMA. A longer period results in a smoother EMA but might lag behind recent price changes. VWAP (Volume Weighted Average Price): Default settings are typically used for VWAP calculations, which consider the volume traded at each price level over a specific period. This indicator provides insights into the average price weighted by trading volume. backtest range and rules: You can specify the start date for backtesting purposes. You can can select the desired trade direction: Long, Short, or Both. Entry and Exit Conditions: LONG: DMI Cross Up: The Directional Movement Index (DMI) indicates a bullish trend when the positive directional movement (+DI) crosses above the negative directional movement (-DI). Bollinger Bands (BB): The price is below the upper Bollinger Band, indicating a potential reversal from the upper band. Momentum Indicator: Momentum is positive, suggesting increasing buying pressure. MACD (Moving Average Convergence Divergence): The MACD line is above the signal line, indicating bullish momentum. Supertrend Indicator: The Supertrend indicator signals an uptrend. Schaff Trend Cycle (STC): The STC indicates a bullish trend. Aroon Indicator: The Aroon indicator signals a bullish trend or crossover. When all these conditions are met simultaneously, the strategy considers it a favorable opportunity to enter a long trade. SHORT: DMI Cross Down: The Directional Movement Index (DMI) indicates a bearish trend when the negative directional movement (-DI) crosses above the positive directional movement (+DI). Bollinger Bands (BB): The price is above the lower Bollinger Band, suggesting a potential reversal from the lower band. Momentum Indicator: Momentum is negative, indicating increasing selling pressure. MACD (Moving Average Convergence Divergence): The MACD line is below the signal line, signaling bearish momentum. Supertrend Indicator: The Supertrend indicator signals a downtrend. Schaff Trend Cycle (STC): The STC indicates a bearish trend. Aroon Indicator: The Aroon indicator signals a bearish trend or crossover. When all these conditions align, the strategy considers it an opportune moment to enter a short trade. Disclaimer: THIS ISN'T AN OPTIMAL STRATEGY AT ALL! It was just an old project from when I started learning pine script! The backtest doesn't promise the same results in the future, always do both in-sample and out-of-sample testing when backtesting a strategy. And make sure you forward test it as well before implementing it! Furthermore this strategy uses both trend and mean-reversion systems, that is usually a no-go if you want to build robust trend systems . Don't hesitate to comment if you have any questions or if you have some good notes for a beginner.
Strategi Pine Script®
oleh IkkeOmar
Pivot Percentile Trend - Strategy [presentTrading] █ Introduction and How it is Different The "Pivot Percentile Trend - Strategy" from PresentTrading represents a paradigm shift in technical trading strategies. What sets this strategy apart is its innovative use of pivot percentiles, a method that goes beyond traditional indicator-based analyses. Unlike standard strategies that might depend on single-dimensional signals, this approach takes a multi-layered view of market movements, blending percentile calculations with SuperTrend indicators for a more nuanced and dynamic market analysis. This strategy stands out for its ability to process multiple data points across various timeframes and pivot lengths, thereby capturing a broader and more detailed picture of market trends. It's not just about following the price; it's about understanding its position in the context of recent historical highs and lows, offering a more profound insight into potential market movements. BTC 6h L/S Where traditional methods might react to market changes, the Pivot Percentile Trend strategy anticipates them, using a calculated approach to identify trend strengths and weaknesses. This foresight gives traders a significant advantage, allowing for more strategic decision-making and potentially increasing the chances of successful trades. In essence, this strategy introduces a more comprehensive and proactive approach to trading, harnessing the power of advanced percentile calculations combined with the robustness of SuperTrend indicators. It's a strategy designed for traders who seek a deeper understanding of market dynamics and a more calculated approach to their trading decisions. Local picture █ Strategy, How It Works: Detailed Explanation 🔶 Percentile Calculations - The strategy employs percentile calculations to assess the relative position of current market prices against historical data. - For a set of lengths (e.g., `length * 1`, `length * 2`, up to `length * 7`), it calculates the 75th percentile for high values (`percentilesHigh`) and the 25th percentile for low values (`percentilesLow`). - These percentiles provide a sense of where the current price stands compared to recent price ranges. Length - 10 Length - 15 🔶 SuperTrend Indicator - The SuperTrend indicator is a key component, providing trend direction signals. - It uses the `currentTrendValue`, derived from the difference between bull and bear strengths calculated from the percentile data. * used the Supertrend toolkit by @EliCobra 🔶 Trend Strength Counts - The strategy calculates counts of bullish and bearish indicators based on comparisons between the current high and low against high and low percentiles. - `countBull` and `countBear` track the number of times the current high is above the high percentiles and the current low is below the low percentiles, respectively. - Weak bullish (`weakBullCount`) and bearish (`weakBearCount`) counts are also determined by how often the current lows and highs fall within the percentile range. *The idea of this strength counts mainly comes from 'Trend Strength Over Time' @federalTacos5392b 🔶 Trend Value Calculation - The `currentTrendValue` is a crucial metric, computed as `bullStrength - bearStrength`. - It indicates the market's trend direction, where a positive value suggests a bullish trend and a negative value indicates a bearish trend. 🔶 Trade Entry and Exit Logic - The entry points for trades are determined by the combination of the trend value and the direction indicated by the SuperTrend indicator. - For a long entry (`shouldEnterLong`), the `currentTrendValue` must be positive and the SuperTrend indicator should show a downtrend. - Conversely, for a short entry (`shouldEnterShort`), the `currentTrendValue` should be negative with the SuperTrend indicating an uptrend. - The strategy closes positions when these conditions reverse. █ Trade Direction The strategy is versatile, allowing traders to choose their preferred trading direction: long, short, or both. This flexibility enables traders to tailor their strategies to their market outlook and risk appetite. █ Default Settings and Customization 1. Trade Direction: Selectable as Long, Short, or Both, affecting the type of trades executed. 2. Indicator Source: Pivot Percentile Calculations, key for identifying market trends and reversals. 3. Lengths for Percentile Calculation: Various configurable lengths, influencing the scope of trend analysis. 4. SuperTrend Settings: ATR Length 20, Multiplier 18, affecting indicator sensitivity and trend detection. 5. Style Options: Custom colors for bullish (green) and bearish (red) trends, aiding visual interpretation. 6. Additional Settings: Includes contrarian signals and UI enhancements, offering strategic and visual flexibility.
Strategi Pine Script®
oleh PresentTrading
7
Aleem Trend Supertrend EMA Title: "Supertrend and 200 EMA Crossover Strategy" Description: This script is designed to provide traders with a robust and original trading strategy by combining the Supertrend indicator with a 200-period Exponential Moving Average (EMA). The core concept is to utilize the strengths of both indicators to determine optimal entry and exit points. The Supertrend indicator is well-regarded for its precision in signaling trend reversals by considering the volatility of the market, as measured by the Average True Range (ATR). It is particularly useful for identifying ongoing trends and potential reversals. The 200 EMA is a widely-used indicator that many traders look to as a determinant of the long-term trend. When the price is above the 200 EMA, the overall market sentiment is considered bullish, and when below, bearish. By combining these two, the script generates a Buy signal under the following conditions: When the Supertrend turns bullish (color changes from red to green) with the closing price above the 200 EMA, or When the price crosses above the 200 EMA while the Supertrend is already green. A Sell signal is generated when: The Supertrend turns bearish (color changes from green to red) with the closing price below the 200 EMA, or The price crosses below the 200 EMA while the Supertrend is already red. To avoid repetitive signals and to maintain clarity, the script has been enhanced with a feature to prevent multiple consecutive Buy or Sell signals. Once a Buy or Sell signal is generated, the script will not produce another identical signal until an opposing signal or an exit condition is met. Exit signals for both Buy and Sell positions are provided to indicate when the trend is weakening or reversing, based on the Supertrend's color change in relation to the 200 EMA. This strategy is flexible and can be utilized across various time frames and asset classes. It aims to aid traders in making more informed decisions by highlighting potential reversals and continuations in the market trend. Usage: To use this script, traders should observe the Buy and Sell signals as potential entry points. Exit signals should be taken as prompts to close positions or to protect profits with stop-loss adjustments. As with all strategies, it's recommended to use this in conjunction with other analysis methods and to backtest thoroughly before live implementation.
Penunjuk Pine Script®
oleh aleemullahkhan53
2
FlexiMA Variance Tracker - Strategy [presentTrading]█ Introduction and How It Is Different The FlexiMA Variance Tracker by PresentTrading introduces a novel approach to technical trading strategies. Unlike traditional methods, it calculates deviations between a chosen indicator source (such as price or average) and a moving average with a variable length. This flexibility is achieved through a unique combination of a starting factor and an increment factor, allowing the moving average to adapt dynamically within a specified range. This strategy provides a more responsive and nuanced view of market trends, setting it apart from standard trading methodologies. BTC 8h L/S Local █ Strategy, How It Works: Detailed Explanation The FlexiMA Variance Tracker, developed by PresentTrading, stands at the forefront of trading strategies, distinguished by its adaptive and multifaceted approach to market analysis. This strategy intricately weaves various technical elements to construct a comprehensive trading logic. Here's an in-depth professional breakdown: 🔶Foundation on Variable-Length Moving Averages: Central to this strategy is the concept of variable-length Moving Averages (MAs). Unlike traditional MAs with a fixed period, this strategy dynamically adjusts the length of the MA based on a starting factor and an incremental factor. This approach allows the strategy to adapt to market volatility and trend strength more effectively. Each MA iteration offers a distinct temporal perspective, capturing short-term price movements to long-term trends. This aggregation of various time frames provides a richer and more nuanced market analysis, essential for making informed trading decisions. 🔶Deviation Analysis and Normalization: The strategy calculates deviations of the price (or the chosen indicator source) from each of these MAs. These deviations are pivotal in identifying the immediate market direction relative to the average trend captured by each MA. To standardize these deviations for comparability, they undergo a normalization process. The choice of normalization method (Max-Min or Absolute Sum) can significantly influence the interpretation of market conditions, offering distinct insights into price movements and trend strength. 🔹Normalization: Absolute Sum 🔶Composite Oscillator Construction: A composite oscillator is derived from the median of these normalized deviations. The median serves as a balanced and robust central trend indicator, minimizing the impact of outliers and market noise. Additionally, the standard deviation of these deviations is computed, providing a measure of market volatility. This volatility indicator is crucial for assessing market risk and can guide traders in setting appropriate stop-loss and take-profit levels. 🔶Integration with SuperTrend Indicator: The FlexiMA strategy integrates the SuperTrend indicator, renowned for its effectiveness in identifying trend direction and reversals. The SuperTrend's incorporation enhances the strategy's ability to filter out false signals and confirm genuine market trends. * The SuperTrend Toolkit is made by @QuantiLuxe This combination of the variable-length MA oscillator with the SuperTrend indicator forms a potent duo, offering traders a dual-confirmation mechanism for trade signals. 🔹Supertrend's incorporation 🔶Strategic Trade Signal Generation: Trade signals are generated when there is a confluence between the composite oscillator and the SuperTrend indicator. For example, a long position signal might be considered when the oscillator suggests an uptrend, and the SuperTrend flips to bullish. The strategy's parameters are fully customizable, enabling traders to tailor the signal generation process to their specific trading style, risk tolerance, and market conditions. █ Usage To effectively employ the FlexiMA Variance Tracker strategy: Traders should set their desired trade direction and fine-tune the starting and increment factors according to their market analysis and risk tolerance. Indicator Length: 5 Indicator Length: 40 The strategy is suitable for a wide range of markets and can be adapted to different time frames, making it a versatile tool for various trading scenarios. █ Default Settings Impact on Performance: FlexiMA Variance Tracker 1. Trade Direction (Configurable: Long, Short, Both): Determines trade types. 'Long' for buying, 'Short' for selling, 'Both' adapts to market trends. 2. Indicator Source: HLC3: Balances market sentiment by considering high, low, and close, providing comprehensive period analysis. 4. Indicator Length (Default: 10): Baseline for moving averages. Shorter lengths increase responsiveness but add noise, while longer lengths favor trends. 5. Starting and Increment Factor (Default: 1.0): Adjusts MA lengths range. Higher values capture broad market dynamics, lower values focus analysis. 6. Normalization Method (Options: None, Max-Min, Absolute Sum): Standardizes deviations. 'None' for raw deviations, 'Max-Min' for relative scaling, 'Absolute Sum' emphasizes relative strength. 7. SuperTrend Settings (ATR Length: 10, Multiplier: 15.0): Influences indicator sensitivity. Short ATR or high multiplier for short-term, long ATR or low multiplier for long-term trends. 8. Additional Settings (Mesh Style, Color Customization): Enhances visual clarity. Mesh style for detailed deviation view, colors for quick market condition identification.
Strategi Pine Script®
oleh PresentTrading
7
AI SuperTrend - Strategy [presentTrading] █ Introduction and How it is Different The AI Supertrend Strategy is a unique hybrid approach that employs both traditional technical indicators and machine learning techniques. Unlike standard strategies that rely solely on traditional indicators or mathematical models, this strategy integrates the power of k-Nearest Neighbors (KNN), a machine learning algorithm, with the tried-and-true SuperTrend indicator. This blend aims to provide traders with more accurate, responsive, and context-aware trading signals. *The KNN part is mainly referred from @Zeiierman. BTCUSD 8hr performance ETHUSD 8hr performance █ Strategy, How it Works: Detailed Explanation SuperTrend Calculation Volume-Weighted Moving Average (VWMA): A VWMA of the close price is calculated based on the user-defined length (len). This serves as the central line around which the upper and lower bands are calculated. Average True Range (ATR): ATR is calculated over a period defined by len. It measures the market's volatility. Upper and Lower Bands: The upper band is calculated as VWMA + (factor * ATR) and the lower band as VWMA - (factor * ATR). The factor is a user-defined multiplier that decides how wide the bands should be. KNN Algorithm Data Collection: An array (data) is populated with recent n SuperTrend values. Corresponding labels (labels) are determined by whether the weighted moving average price (price) is greater than the weighted moving average of the SuperTrend (sT). Distance Calculation: The absolute distance between each data point and the current SuperTrend value is calculated. Sorting & Weighting: The distances are sorted in ascending order, and the closest k points are selected. Each point is weighted by the inverse of its distance to the current point. Classification: A weighted sum of the labels of the k closest points is calculated. If the sum is closer to 1, the trend is predicted as bullish; if closer to 0, bearish. Signal Generation Start of Trend: A new bullish trend (Start_TrendUp) is considered to have started if the current trend color is bullish and the previous was not bullish. Similarly for bearish trends (Start_TrendDn). Trend Continuation: A bullish trend (TrendUp) is considered to be continuing if the direction is negative and the KNN prediction is 1. Similarly for bearish trends (TrendDn). Trading Logic Long Condition: If Start_TrendUp or TrendUp is true, a long position is entered. Short Condition: If Start_TrendDn or TrendDn is true, a short position is entered. Exit Condition: Dynamic trailing stops are used for exits. If the trend does not continue as indicated by the KNN prediction and SuperTrend direction, an exit signal is generated. The synergy between SuperTrend and KNN aims to filter out noise and produce more reliable trading signals. While SuperTrend provides a broad sense of the market direction, KNN refines this by predicting short-term price movements, leading to a more nuanced trading strategy. Local picture █ Trade Direction The strategy allows traders to choose between taking only long positions, only short positions, or both. This is particularly useful for adapting to different market conditions. █ Usage ToolTips: Explains what each parameter does and how to adjust them. Inputs: Customize values like the number of neighbors in KNN, ATR multiplier, and moving average type. Plotting: Visual cues on the chart to indicate bullish or bearish trends. Order Execution: Based on the generated signals, the strategy will execute buy/sell orders. █ Default Settings The default settings are selected to provide a balanced approach, but they can be modified for different trading styles and asset classes. Initial Capital: $10,000 Default Quantity Type: 10% of equity Commission: 0.1% Slippage: 1 Currency: USD By combining both machine learning and traditional technical analysis, this strategy offers a sophisticated and adaptive trading solution.
Strategi Pine Script®
oleh PresentTrading
14
Elliott Wave with Supertrend Exit - Strategy [presentTrading]## Introduction and How it is Different The Elliott Wave with Supertrend Exit provides automated detection and validation of Elliott Wave patterns for algorithmic trading. It is designed to objectively identify high-probability wave formations and signal entries based on confirmed impulsive and corrective patterns. * The Elliott part is mostly referenced from Elliott Wave by @LuxAlgo Key advantages compared to discretionary Elliott Wave analysis: - Wave Labeling and Counting: The strategy programmatically identifies swing pivot highs/lows with the Zigzag indicator and analyzes the waves between them. It labels the potential impulsive and corrective patterns as they form. This removes the subjectivity of manual wave counting. - Pattern Validation: A rules-based engine confirms valid impulsive and corrective patterns by checking relative size relationships and fib ratios. Only confirmed wave counts are plotted and traded. - Objective Entry Signals: Trades are entered systematically on the start of new impulsive waves in the direction of the trend. Pattern failures invalidate setups and stop out positions. - Automated Trade Management: The strategy defines specific rules for profit targets at fib extensions, trailing stops at swing points, and exits on Supertrend reversals. This automates the entire trade lifecycle. - Adaptability: The waveform recognition engine can be tuned by adjusting parameters like Zigzag depth and Supertrend settings. It adapts to evolving market conditions. ETH 1hr chart In summary, the strategy brings automation, objectivity and adaptability to Elliott Wave trading - removing subjective interpretation errors and emotional trading biases. It implements a rules-based, algorithmic approach for systematically trading Elliott Wave patterns across markets and timeframes. ## Trading Logic and Rules The strategy follows specific trading rules based on the detected and validated Elliott Wave patterns. Entry Rules - Long entry when a new impulsive bullish (5-wave) pattern forms - Short entry when a new impulsive bearish (5-wave) pattern forms The key is entering on the start of a new potential trend wave rather than chasing. Exit Rules - Invalidation of wave pattern stops out the trade - Close long trades on Supertrend downturn - Close short trades on Supertrend upturn - Use a stop loss of 10% of entry price (configurable) Trade Management - Scale out partial profits at Fibonacci levels - Move stop to breakeven when price reaches 1.618 extension - Trail stops below key swing points - Target exits at next Fibonacci projection level Risk Management - Use stop losses on all trades - Trade only highest probability setups - Size positions according to chart timeframe - Avoid overtrading when no clear patterns emerge ## Strategy - How it Works The core logic follows these steps: 1. Find swing highs/lows with Zigzag indicator 2. Analyze pivot points to detect impulsive 5-wave patterns: - Waves 1, 3, and 5 should not overlap - Waves 3 and 5 must be longer than wave 1 - Confirm relative size relationships between waves 3. Validate corrective 3-wave patterns: - Look for overlapping, choppy waves that retrace the prior impulsive wave 4. Plot validated waves and Fibonacci retracement levels 5. Signal entries when a new impulsive wave pattern forms 6. Manage exits based on pattern failures and Supertrend reversals Impulsive Wave Validation The strategy checks relative size relationships to confirm valid impulsive waves. For uptrends, it ensures: ``` Copy code- Wave 3 is longer than wave 1 - Wave 5 is longer than wave 2 - Waves do not overlap ``` Corrective Wave Validation The strategy identifies overlapping corrective patterns that retrace the prior impulsive wave within Fibonacci levels. Pattern Failure Invalidation If waves fail validation tests, the strategy invalidates the pattern and stops signaling trades. ## Trade Direction The strategy detects impulsive and corrective patterns in both uptrends and downtrends. Entries are signaled in the direction of the validated wave pattern. ## Usage - Use on charts showing clear Elliott Wave patterns - Start with daily or weekly timeframes to gauge overall trend - Optimize Zigzag and Supertrend settings as needed - Consider combining with other indicators for confirmation ## Default Settings - Zigzag Length: 4 bars - Supertrend Length: 10 bars - Supertrend Multiplier: 3 - Stop Loss: 10% of entry price - Trading Direction: Both
Strategi Pine Script®
oleh PresentTrading
9
Master Supertrend [Trendoscope]Are you a fan of supertrend? Me too!! Here is a supertrend indicator which provides multiple variation options to chose from. 🎲 Introduction Supertrend is a popular technical indicator used by traders to identify potential trend reversals and determine entry and exit points in financial markets. It is a trend-following indicator that combines price and volatility to generate its signals. Generally supertrend is calculated based on ATR and multiplier value which is used for calculation of stops. In these adaptions, we look to provide few variations to classical methods. 🎲 Variations Following variations are provided in the form of settings. 🎯 Range Type Instead of ATR, different types of ranges can be used for stop calculation. Here is the complete list used in the script. Plus/Minus Range - Calculates plus range and minus range for each candle and uses them for different sides of stop calculation Ladder ATR - Based on the existing concept of Ladder ATR defined in Supertrend-Ladder-ATR True Range - True range derived from standard function ta.tr Standard Deviation - Standard deviation of close prices 🎯 Applied Calculation In standard ATR, rma of TR is used for calculations. But, the application calculation provides option to users to use different mechanisms. It can be a type of moving average or few other types of calculations. Available values are sma ema hma rma wma high median medianHigh (Highest of the last N medians) medianLow (Lowest of the last N medians) 🎯 Other options Few other options provided are Use Close Price - If selected stops are calculated based on the close price instead of high/low prices Wait for Close If selected, change of supertrend direction is calculated based on close price instead of high/low prices Diminishing Stop Distance - When selected, stop distance for the trend direction can only reduce and cannot increase. This option is useful for keeping the tight stops on strong trends. 🎯 Plus Minus Range One of the range type used is Plus/Minus Range. What it means and how are these ranges calculated? Let's have a look. Plus Range is an upward movement of a candle from its last price or open price whichever is lower. Minus Range is a downward movement of a candle from its last price or open price whichever is higher. This divides True Range into two separate range for positive and negative side. Here are the simple settings in nutshell which reflects the same.
Penunjuk Pine Script®
oleh Trendoscope
18
Kitchen [ilovealgotrading] OVERVIEW: Kitchen is a strategy that aims to trade in the direction of the trend by using supertrend and stochRsi data by calculating at different time values. IMPLEMENTATION DETAILS – SETTINGS: First of all, let's understand the supertrend and stocrsi indicators. How do you read and use Super Trend for trading ? The price is often going upwards when it breaks the super trend line while keeping its position above the indication level. When the market is in a bullish trend, the indicator becomes green. The indicator level will act as trendline support in such a scenario. The color of the indicator changes to red to indicate a negative trend once the price crosses the support line. The price uses the super trend level as a trendline resistance during a bearish move. In our strategy, if our 1-hour and 4-hour supertrend lines show the up or down train in the same direction at the same time, we can assume that a train is forming here. Why do I use the time of 1 hour and 4 hours ? When I did a backtest from the past to the present, I discovered that the most accurate and consistent time zones are the 1 hour and 4 hour time zones. By the way we can change our short term timeframe(1H) and long term timeframe(4H) from settings panel. How do you read and use the Stoch-RSI Indicator? This indicator analyzes price dynamics automatically to detect overbought and oversold locations. The indicator includes: - The primary line, which typically has values between 0 and 100; - Two dynamic levels for overbought and oversold conditions. IF our stoch-rsi indicator value has fallen below our lower boundary line, the oversold event has been observed in the price, if our stoch-rsi value breaks up our bottom line after becoming oversold, we think that the price will start the recovery phase.(The case is also true for the opposite.) However, this does not always apply and we need additional approvals, Therefore, our 1H and 4H supertrrend indicator provides us with additional confirmation. Buy Condition: Our 1H(short term) and 4H(long term) supertrrend indicator, has given the buy signal(green line and yellow line), and if our stochrsi indicator has broken our oversold line up on the past 15 bars, the buy signal is formed here. Sell Condition: Our 1H(short term) and 4H(long term) supertrrend indicator, has given the sell signal(red line and orange line), and if our stochrsi indicator has broken our overbuy line down on the past 15 bars, the sell signal is formed here. Stop Loss or Take Profit Conditions: Exit Long Senerio: All conditions are completed, the buy signal has arrived and we have entered a LONG trade, the 1-hour supertrend line follows the price rise(yellow line), if the price breaks below the 1-hour super trend line and a sell condition occurs for 1H timeframe for supertrend indcator, LONG trade will exit here. Exit Short Senerio: All conditions are completed, the Sell signal has arrived and we have entered a SHORT trade, the 1-hour supertrend line follows the price down(orange line), if the price breaks up the 1-hour super trend line and a buy condition occurs for 1H timeframe for supertrend indcator, SHORT trade will exit here. What can you change in the settings panel? 1-We can set Start and End date for backtest and future alarms 2-We can set ATR length and Factor for supertrend indicator 3-We can set our short term and long term timeframe value 4-We can set StochRsi Up and Low limit to confirm buy and sell conditions 5-We can set stochrsi retroactive approval length 6-We can set stochrsi values or the length 7-We can set Dollar cost for per position 8- We can choose the direction of our positions, we can set only LONG, only SHORT or both directions. 9-IF you want to place automatic buy and sell orders with this strategy, you can paste your codes into the Long open-close or Short open-close message sections. For example IF you write your alert window this code {{strategy.order.alert_message}}. When trigger Long signal you will get dynamically what you pasted here for Long Open Message ALSO: Please do not open trades without properly managing your risk and psychology!!! If you have any ideas what to add to my work to add more sources or make calculations cooler, suggest in DM .
Strategi Pine Script®
oleh projeadam
15
EMA 20 Dot Signals + Supertrend + Custom Time Filter ## Strategy Overview This indicator combines **EMA-based price interaction**, **Supertrend directional bias**, and a **customizable intraday time filter** to generate high-probability intraday signals. It is designed to identify pullback continuation setups and momentum-based reversals while aligning trades with prevailing trend conditions. --- ## Core Components ### 1️⃣ 20-Period Exponential Moving Average (EMA) The 20 EMA acts as the primary dynamic reference level for short-term trend and value area assessment. Buy or sell signals are generated when price demonstrates one of the following behaviors relative to the EMA: * A confirmed close above or below the EMA after crossing it * A direct touch (retest) of the EMA followed by a close in the direction of trend * A near-touch setup where price comes within a predefined maximum distance (e.g., 5 points) from the EMA and closes back in trend direction This allows the system to capture: * Breakout continuation entries * Pullback-to-EMA entries * Shallow retracement momentum entries The distance threshold is fully customizable, enabling adaptation for different instruments such as Bank Nifty, Nifty, or equities. --- ### 2️⃣ Supertrend Directional Filter All EMA-based signals are filtered using the Supertrend indicator to ensure alignment with the prevailing market structure. * Long signals are only permitted when the Supertrend indicates an uptrend * Short signals are only permitted when the Supertrend indicates a downtrend This prevents counter-trend trading and improves probability by ensuring trades follow dominant directional bias. --- ### 3️⃣ Customizable Time Filter The script includes a fully adjustable intraday session filter that allows traders to block specific time windows. * The filter can be enabled or disabled from settings * The blocked session time is fully editable * Signals are suppressed during the defined restricted period This is particularly useful for: * Avoiding low-liquidity afternoon sessions * Skipping high-volatility news windows * Restricting trades to preferred trading hours --- ## Signal Logic Summary A trade signal is generated only when: 1. Price satisfies the EMA interaction condition 2. The signal direction aligns with Supertrend bias 3. The signal occurs outside the restricted time window Only when all three conditions align will a visual signal appear. --- ## Trading Characteristics * Trend-following structure * Pullback + continuation logic * Volatility-adjustable (via distance input) * Time-controlled execution * Suitable for intraday index option trading --- ## Ideal Use Case This setup is well-suited for: * Intraday Bank Nifty / Nifty trading * Momentum continuation trades * Controlled risk entries near dynamic support/resistance * Traders seeking structured, rule-based execution
Penunjuk Pine Script®
oleh jaydipali622018
True Range Smoothed SuperTrendTrue Range Smoothed SuperTrend (TRS SuperTrend | MisinkoMaster) The True Range Smoothed SuperTrend is an innovative trend analysis indicator designed to identify clear market trends while minimizing noise. By combining a smoothed price source weighted by true range values with an ATR-based volatility multiplier, this tool delivers reliable trend signals adaptable to a wide variety of asset classes and timeframes. It’s particularly useful for traders seeking a versatile trend-following system that balances sensitivity and stability. 🔍 Concept & Idea The indicator enhances the classic SuperTrend concept by using a true range–weighted smoothing of price data instead of raw price or simple moving averages. This weighting helps focus on periods with higher volatility, improving the relevance of trend detection. Along with smoothing, the indicator applies an ATR-based volatility multiplier to dynamically adjust the upper and lower trend bands, adapting to current market volatility conditions. ⚙️ How It Works True Range Weighted Smoothing: The source price (default: low) is multiplied by the true range values over the lookback period. These weighted values are summed and normalized by the total true range sum. The result is further smoothed using an Exponential Moving Average (EMA) with a length proportional to the square root of the input length, reducing noise while preserving trend responsiveness. ATR-based Bands: The Average True Range (ATR) is calculated with the same length as the smoothing period. The ATR is multiplied by a user-defined multiplier to establish dynamic upper and lower bands around the smoothed price. Trend Determination: When the source price crosses above the upper band, a bullish trend is signaled. Conversely, crossing below the lower band signals a bearish trend. These crossings update the trend state, which controls plotted bands and trend labels. 🧩 Inputs Overview Length – Controls the lookback period for true range weighting, ATR calculation, and smoothing. Affects sensitivity and smoothness (default 37). Source – Price source used for calculation, defaulting to low. Multiplier – Scales the ATR bands to adjust volatility sensitivity (default 1.45). 📌 Usage Notes The TRS SuperTrend works well across various asset classes and timeframes. The true range weighting improves trend detection in volatile markets by emphasizing price moves during active periods. Adjust the length and multiplier inputs to balance between noise reduction and responsiveness for your specific market and strategy. Trend changes are visually marked with “𝓛𝓸𝓷𝓰” and “𝓢𝓱𝓸𝓻𝓽” labels directly on the chart. Background fills between bands and price improve visual clarity. Combine with other confirmation tools and risk management practices for best results. Not a standalone trading system; always validate and backtest prior to live trading. ⚠️ Disclaimer This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk and users should perform their own analysis before making trading decisions. Enjoy smoother and clearer trend analysis with the True Range Smoothed SuperTrend!
Penunjuk Pine Script®
oleh MisinkoMaster
TSM RSI + Supertrend (ATR SL + Partial Booking) 302026RSI + Supertrend Strategy (ATR Stop-Loss + Partial Profit Booking) Strategy Objective This strategy is designed to: Trade only in strong trends Avoid false entries using RSI confirmation Protect capital with a volatility-based (ATR) stop-loss Book profits in stages to reduce risk and ride big moves 🔧 Indicators Used 1️⃣ Supertrend Role: Trend direction Green line → Uptrend Red line → Downtrend Settings: ATR Period: 10 Multiplier: 3 2️⃣ RSI (Relative Strength Index) Role: Momentum confirmation RSI above 50 → Bullish strength RSI below 50 → Bearish strength Settings: RSI Length: 14 Level: 50 🟢 BUY (Long Trade) Rules A BUY trade is taken when all conditions are met: Supertrend changes from Red to Green → Trend turns bullish RSI is above 50 → Buying momentum is strong 📌 Entry: ➡️ Enter BUY at the next candle. 🔴 SELL (Short Trade) Rules A SELL trade is taken when all conditions are met: Supertrend changes from Green to Red → Trend turns bearish RSI is below 50 → Selling momentum is strong 📌 Entry: ➡️ Enter SELL at the next candle. 🛑 Stop-Loss (ATR-Based) Stop-loss is calculated using ATR (Average True Range) Adapts automatically to market volatility BUY Trade SL = Entry Price − (ATR × Multiplier) SELL Trade SL = Entry Price + (ATR × Multiplier) ✅ This avoids tight SL in volatile markets and wide SL in calm markets. 🎯 Partial Profit Booking Logic 🔹 First Target (Partial Exit) 50% of the position is booked at 1:1 Risk–Reward This locks in profits early and reduces risk 🔹 Remaining 50% Held as long as the Supertrend does not reverse Exits only when the trend flips Helps capture big trending moves 🔄 Exit Rules Summary Situation Action ATR Stop-Loss hit Full exit 1:1 target reached 50% profit booked Supertrend flips Remaining 50% exited ⏱️ Best Timeframes Trading Style Timeframe Intraday 5 min / 15 min Swing 1 Hour / Daily Best markets: Trending stocks Index futures Directional options (CE / PE) ⭐ Why This Strategy Is Powerful ✔ Trades with trend, not against it ✔ RSI filters weak signals ✔ ATR-based SL adjusts to volatility ✔ Partial booking reduces psychological pressure ✔ Lets winners run and cuts losers early ⚠️ Important Notes Avoid sideways markets Always backtest before live trading Risk management is more important than entries.
Strategi Pine Script®
oleh SARAVANANTamilShareMarket
SuperBands: Smart Pullback StrategyIndicator Name: SuperBands (Smart Pullback Strategy) 1. Core Concept (The Philosophy) This indicator represents a smart fusion of two powerful trading methodologies: Trend Following and Mean Reversion. Instead of trying to predict market tops or bottoms, it focuses on joining an established trend at a "Discount Price." In short: "Buy the dips in an Uptrend, and Sell the rallies in a Downtrend." 2. Technical Components The indicator consists of two main engines working in harmony: First: The Trend Filter (Supertrend): Settings: (ATR 20 / Factor 6.0). Function: Identifies the long-term market direction. The high Factor (6.0) is deliberately used to filter out noise and minor fluctuations, ensuring the trend direction only changes when there is a significant market shift. Rule: If the line is Green, only Long trades are allowed. If Red, only Short trades are allowed. Second: The Sniper (Bollinger Bands): Settings: (Length 20 / StdDev 2.0). Function: Identifies temporary Overbought and Oversold zones within the trend. Rule: The Lower Band acts as a "Value Zone" for buying, while the Upper Band acts as a "Premium Zone" for selling. 3. Signal Logic (How it Works) The indicator scans the market for specific, high-probability conditions: A. Buy Signal (Green Triangle): Appears only when both conditions are met: Trend is Bullish: Supertrend is Green. Price is "Cheap": Price drops to touch or break the Lower Bollinger Band. Logic: The general trend is Up, and the price has pulled back to a dynamic support level. This is a buying opportunity. B. Sell Signal (Red Triangle): Appears only when both conditions are met: Trend is Bearish: Supertrend is Red. Price is "Expensive": Price rises to touch or break the Upper Bollinger Band. Logic: The general trend is Down, and the price has rallied to a dynamic resistance level. This is a selling opportunity. 4. User Guide (How to Trade It) To achieve the best results, consider the following approach when a signal appears: A. Entry: Enter the trade immediately upon the close of the candle where the triangle appears (or place a pending order slightly above/below the signal candle for confirmation). B. Stop Loss (SL): Conservative: Place the SL at the Supertrend line (if this line breaks, the trend is invalid). Aggressive: Place the SL slightly below the signal candle's low or the most recent Swing Low. C. Take Profit (TP): Target 1: The Bollinger Bands Middle Line (Basis/SMA 20). Target 2: The Opposite Band (Upper Band for Buy signals, Lower Band for Sell signals). 5. Key Strengths & Limitations Main Advantage: This indicator prevents a common trader mistake: "FOMO" (Fear Of Missing Out). It stops you from buying at the top or selling at the bottom. It psychologically forces you to wait for the price to come to you. Best Use Case: The wide Supertrend settings make this highly effective for Crypto and Volatile Stocks where trends are strong and pullbacks are deep. Limitation: In tight, ranging markets (choppy markets), the price might not touch the bands often, or it might generate a signal followed by sideways movement. Summary for the Trader: This indicator tells you: "The trend is Up, but don't chase the price... wait for it to drop to the Lower Band, then strike." اسم المؤشر: SuperBands (Smart Pullback Strategy) 1. الفكرة الأساسية (الفلسفة وراء المؤشر) هذا المؤشر هو دمج ذكي بين استراتيجيتين شهيرتين: تتبع الاتجاه (Trend Following) و اقتناص الارتدادات (Mean Reversion). هو لا يحاول التنبؤ بقمة أو قاع السوق، بل يحاول الدخول مع الاتجاه العام القوي ولكن من "نقطة سعرية مخفضة" (Discount Price). باختصار: "اشترِ الانخفاضات في الاتجاه الصاعد، وبع الارتفاعات في الاتجاه الهابط". 2. المكونات التقنية يتكون المؤشر من جزأين رئيسيين يعملان كفريق واحد: أولاً: الحارس (Supertrend): الإعدادات: (ATR 20 / Factor 6.0). الوظيفة: تحديد الاتجاه العام "طويل المدى". استخدام العامل 6.0 (وهو رقم كبير) يجعل المؤشر يتجاهل التذبذبات الصغيرة ولا يغير لونه إلا إذا تغير الاتجاه الحقيقي للسوق بقوة. القاعدة: إذا كان الخط أخضر، يُسمح بالشراء فقط. إذا كان أحمر، يُسمح بالبيع فقط. ثانياً: القناص (Bollinger Bands): الإعدادات: (Length 20 / StdDev 2.0). الوظيفة: تحديد مناطق ذروة البيع والشراء المؤقتة (Overbought/Oversold) داخل الاتجاه. القاعدة: الحد السفلي يعتبر منطقة "رخيصة" للشراء، والحد العلوي منطقة "غالية" للبيع. 3. كيف تتكون الإشارة (آلية العمل) يقوم المؤشر بمسح السوق بحثاً عن شروط محددة بدقة: A. إشارة الشراء (المثلث الأخضر): تظهر فقط عند تحقق الشرطين معاً: الاتجاه صاعد: السوبر تريند لونه أخضر. سعر مغري: السعر هبط ليلامس أو يكسر الحد السفلي للبولنجر باند (Lower Band). المنطق: الاتجاه العام صاعد، والسعر قام بعمل تصحيح (Pullback) لمستوى دعم ديناميكي، إذن هي فرصة للشراء بسعر أفضل. B. إشارة البيع (المثلث الأحمر): تظهر فقط عند تحقق الشرطين معاً: الاتجاه هابط: السوبر تريند لونه أحمر. سعر مرتفع: السعر صعد ليلامس أو يخترق الحد العلوي للبولنجر باند (Upper Band). المنطق: الاتجاه العام هابط، والسعر قام بعمل تصحيح صعودي لمقاومة ديناميكية، إذن هي فرصة للبيع من مكان مرتفع. 4. كيفية الاستفادة منه (دليل المستخدم) لتحقيق أفضل نتائج، يُنصح باتباع الخطوات التالية عند ظهور الإشارة: أ. نقاط الدخول (Entry): ادخل الصفقة بمجرد إغلاق الشمعة التي ظهر عليها المثلث (أو ضع أمر معلق فوق/تحت الشمعة لتأكيد الحركة). ب. وقف الخسارة (Stop Loss): الخيار الآمن: ضع الوقف عند خط السوبر تريند (لأنه إذا كُسر الخط، يعني أن الاتجاه تغير). الخيار المغامر: ضع الوقف أسفل قاع الشمعة السابقة بمسافة بسيطة، أو أسفل آخر قاع (Swing Low). ج. جني الأرباح (Take Profit): الهدف الأول: خط المنتصف للبولنجر باند (الخط البرتقالي الخفي أو متوسط 20). الهدف الثاني: الحد المعاكس للبولنجر باند (الحد العلوي في حالة الشراء، والسفلي في حالة البيع). 5. مميزات وعيوب يجب الانتباه لها الميزة القوية: يمنعك هذا المؤشر من ارتكاب خطأ شائع وهو "الشراء في القمة" أو "البيع في القاع". هو يجبرك نفسياً على انتظار السعر ليأتي إليك في مناطق التصحيح. نقطة القوة: إعدادات السوبر تريند (6.0) تجعل الإشارات قوية جداً في العملات الرقمية (Crypto) والأسهم ذات الاتجاه الواضح (Trending Markets). نقطة الضعف: في الأسواق العرضية المملة (Ranging Markets) ذات النطاق الضيق جداً، قد لا تلمس الأسعار حدود البولنجر كثيراً، أو قد يعطي إشارات دخول والسوق لا يتحرك بعدها بقوة. ملخص للمتداول: هذا المؤشر يقول لك: "السوق صاعد، لكن لا تطارد السعر.. انتظر حتى يهبط السعر إليك عند الخط السفلي ثم اشترِ".
Penunjuk Pine Script®
oleh abdelhadi-salah
[codapro] Confirmed Supertrend Flags Confirmed Supertrend Flags — Delayed Flip Confirmation Description: This script enhances the classic Supertrend by adding a confirmation delay after trend flips, helping traders filter noise and avoid premature entries in volatile environments. Key Features: ATR-based Supertrend stop level calculation Confirmation logic: buy/sell flags appear only after N full bars confirm the new direction Optional Supertrend stop line for visual tracking Fully adjustable flag size, color, label, and placement This is ideal for swing traders, trend followers, or anyone building a system that prefers confirmation over early guessing. How It Works: A trend flip is detected when price closes beyond the Supertrend stop level. The indicator waits for a set number of bars to close in the new direction. After confirmation, a visual flag is plotted: buy below bar, short above bar. How to Extend with Risk Management: While this script focuses on trend confirmation visualization, you can enhance your decision-making by combining it with risk rules: Stop Loss: Set SL just beyond the last Supertrend level before confirmation ATR-Based Sizing: Use the same ATR value to dynamically size your position based on volatility Fixed % Rule: Risk a fixed % of capital per confirmed flip (e.g., 1–2%) Time-Based Exit: Exit trades that don’t follow through within N bars post confirmation Stack with Strategy: Use this confirmation logic to trigger entries in a separate strategy script where strategy.entry() and strategy.exit() can be defined with precise risk parameters Want a full example of how to integrate that? Let me know and I’ll turn this into a plug-and-play strategy version. Disclaimer: This tool was developed as part of the codapro AI engine — a modular signal and automation layer for trading systems. It is for educational and informational purposes only and is not financial advice. Always backtest and verify before live deployment.
Penunjuk Pine Script®
oleh ArisCodes
8
ML Adaptive SuperTrend Strategy [trade_crush]# ML Adaptive SuperTrend Strategy - User Guide ## Introduction The **ML Adaptive SuperTrend Strategy** is a sophisticated trading tool that combines traditional trend-following logic with **Machine Learning (K-Means Clustering)** to dynamically adapt to market volatility. Unlike standard SuperTrend indicators that use a fixed ATR, this strategy analyzes historical volatility to categorize the current market into distinct clusters, providing more precise entries and exits. > > **Special Thanks:** This strategy is based on the innovative work of **AlgoAlpha**. You can explore their extensive library of high-quality indicators and strategies on TradingView: (www.tradingview.com). --- ## Machine Learning Engine (K-Means) The core of this strategy is its ability to "learn" from recent market behavior. - **K-Means Clustering**: The script takes the last $N$ bars of ATR data and runs an iterative clustering algorithm to find three "centroids" representing **High**, **Medium**, and **Low** volatility. - **Adaptive ATR**: Based on the current volatility, the strategy selects the nearest centroid to use as the ATR value for the SuperTrend calculation. This ensures the trailing stop tightens during low volatility and widens during high volatility to avoid "noise". --- ## Key Features ### 1. Non-Repainting Signals - **Confirm Signals**: When enabled, signals are only triggered after a bar closes. This ensures that the arrows and entries you see on the chart are permanent and reliable for backtesting. ### 2. Intelligent Risk Management - **Multiple SL/TP Types**: Choose between **Percentage** based stops or **ATR** based stops for both Stop Loss and Take Profit. - **Trailing Stop Loss (TSL)**: - Supports both Percentage and ATR modes. - **Activation Offset**: Only activates the trailing mechanism after the price has moved a certain percentage in your favor, protecting early-stage trades. ### 3. Risk-Based Position Sizing - **Dynamic Quantity**: If enabled, the strategy automatically calculates the trade size based on your **Risk % Per Trade** and the distance to your **Stop Loss**. This ensures you never lose more than your defined risk on a single trade. --- ## User Input Guide ### SuperTrend & ML Settings - **ATR Length**: The window used to calculate market volatility. - **SuperTrend Factor**: The multiplier that determines the distance of the trailing stop from the price. - **Use ML Adaptive ATR**: Toggle between the ML-enhanced logic and standard ATR. - **Training Data Length**: How many historical bars the ML engine analyzes to find clusters. ### Risk Management - **Stop Loss Type**: Set to Percentage, ATR, or None. - **TS Activation Offset**: The profit buffer required before the trailing stop starts following the price. - **Use Risk-Based Sizing**: Toggle this to let the script manage your position size automatically. --- ## How to Trade with This Strategy 1. **Monitor the Dashboard**: Check the top-right table to see which volatility cluster the market is currently in. 2. **Observe the Fills**: The adaptive fills (green/red) visualize the "breathing room" the strategy is giving the price. 3. **Execution**: The strategy enters on "ML Bullish" (Triangle Up) and "ML Bearish" (Triangle Down) signals. 4. **Exits**: The script will automatically exit based on your SL, TP, or Trailing Stop settings. --- ## Credits Original Concept: **AlgoAlpha** Strategy Conversion & Enhancements: **Antigravity AI**
Strategi Pine Script®
oleh trade_crush
3x Supertrend + EMA200 Signal Buy/Sell [nsen]The indicator uses signals from three Supertrend lines to determine whether to trade Buy or Sell, with the assistance of a moving average for bias. Buy/Sell signals are generated when the conditions are met: A Buy signal is triggered when all three Supertrend lines indicate a bullish trend and are above the EMA. A Sell signal is triggered when all three Supertrend lines indicate a bearish trend and are below the EMA. Indicator ใช้สัญญาณจาก Supertrend ทั้งหมด 3 เส้น โดยใช้ในการกำหนดว่าจะเลือกเทรด Buy หรือ Sell โดยการใช้ moveing average เข้ามาช่วยในการ bias แสดงสัญญาณ Buy/Sell เมื่อเข้าเงื่อนไข - Supertrend ทั้ง 3 เส้นเป็นสัญญาณ Bullish และอยู่เหนือเส้น EMA จะเปิดสัญญาณ Buy - Supertrend ทั้ง 3 เส้นเป็นสัญญาณ Bearish และอยู่ใต้เส้น EMA จะเปิดสัญญาณ Sell
Penunjuk Pine Script®
oleh N_SEN
6
Multi-Step FlexiMA - Strategy [presentTrading]It's time to come back! hope I can not to be busy for a while. █ Introduction and How It Is Different The FlexiMA Variance Tracker is a unique trading strategy that calculates a series of deviations between the price (or another indicator source) and a variable-length moving average (MA). Unlike traditional strategies that use fixed-length moving averages, the length of the MA in this system varies within a defined range. The length changes dynamically based on a starting factor and an increment factor, creating a more adaptive approach to market conditions. This strategy integrates Multi-Step Take Profit (TP) levels, allowing for partial exits at predefined price increments. It enables traders to secure profits at different stages of a trend, making it ideal for volatile markets where taking full profits at once might lead to missed opportunities if the trend continues. BTCUSD 6hr Performance █ Strategy, How It Works: Detailed Explanation 🔶 FlexiMA Concept The FlexiMA (Flexible Moving Average) is at the heart of this strategy. Unlike traditional MA-based strategies where the MA length is fixed (e.g., a 50-period SMA), the FlexiMA varies its length with each iteration. This is done using a **starting factor** and an **increment factor**. The formula for the moving average length at each iteration \(i\) is: `MA_length_i = indicator_length * (starting_factor + i * increment_factor)` Where: - `indicator_length` is the user-defined base length. - `starting_factor` is the initial multiplier of the base length. - `increment_factor` increases the multiplier in each iteration. Each iteration applies a **simple moving average** (SMA) to the chosen **indicator source** (e.g., HLC3) with a different length based on the above formula. The deviation between the current price and the moving average is then calculated as follows: `deviation_i = price_current - MA_i` These deviations are normalized using one of the following methods: - **Max-Min normalization**: `normalized_i = (deviation_i - min(deviations)) / range(deviations)` - **Absolute Sum normalization**: `normalized_i = deviation_i / sum(|deviation_i|)` The **median** and **standard deviation (stdev)** of the normalized deviations are then calculated as follows: `median = median(normalized deviations)` For the standard deviation: `stdev = sqrt((1/(N-1)) * sum((normalized_i - mean)^2))` These values are plotted to provide a clear indication of how the price is deviating from its variable-length moving averages. For more detail: 🔶 Multi-Step Take Profit This strategy uses a multi-step take profit system, allowing for exits at different stages of a trade based on the percentage of price movement. Three take-profit levels are defined: - Take Profit Level 1 (TP1): A small, quick profit level (e.g., 2%). - Take Profit Level 2 (TP2): A medium-level profit target (e.g., 8%). - Take Profit Level 3 (TP3): A larger, more ambitious target (e.g., 18%). At each level, a corresponding percentage of the trade is exited: - TP Percent 1: E.g., 30% of the position. - TP Percent 2: E.g., 20% of the position. - TP Percent 3: E.g., 15% of the position. This approach ensures that profits are locked in progressively, reducing the risk of market reversals wiping out potential gains. Local 🔶 Trade Entry and Exit Conditions The entry and exit signals are determined by the interaction between the **SuperTrend Polyfactor Oscillator** and the **median** value of the normalized deviations: - Long entry: The SuperTrend turns bearish, and the median value of the deviations is positive. - Short entry: The SuperTrend turns bullish, and the median value is negative. Similarly, trades are exited when the SuperTrend flips direction. * The SuperTrend Toolkit is made by @EliCobra █ Trade Direction The strategy allows users to specify the desired trade direction: - Long: Only long positions will be taken. - Short: Only short positions will be taken. - Both: Both long and short positions are allowed based on the conditions. This flexibility allows the strategy to adapt to different market conditions and trading styles, whether you're looking to buy low and sell high, or sell high and buy low. █ Usage This strategy can be applied across various asset classes, including stocks, cryptocurrencies, and forex. The primary use case is to take advantage of market volatility by using a flexible moving average and multiple take-profit levels to capture profits incrementally as the market moves in your favor. How to Use: 1. Configure the Inputs: Start by adjusting the **Indicator Length**, **Starting Factor**, and **Increment Factor** to suit your chosen asset. The defaults work well for most markets, but fine-tuning them can improve performance. 2. Set the Take Profit Levels: Adjust the three **TP levels** and their corresponding **percentages** based on your risk tolerance and the expected volatility of the market. 3. Monitor the Strategy: The SuperTrend and the FlexiMA variance tracker will provide entry and exit signals, automatically managing the positions and taking profits at the pre-set levels. █ Default Settings The default settings for the strategy are configured to provide a balanced approach that works across different market conditions: Indicator Length (10): This controls the base length for the moving average. A lower length makes the moving average more responsive to price changes, while a higher length smooths out fluctuations, making the strategy less sensitive to short-term price movements. Starting Factor (1.0): This determines the initial multiplier applied to the moving average length. A higher starting factor will increase the average length, making it slower to react to price changes. Increment Factor (1.0): This increases the moving average length in each iteration. A larger increment factor creates a wider range of moving average lengths, allowing the strategy to track both short-term and long-term trends simultaneously. Normalization Method ('None'): Three methods of normalization can be applied to the deviations: - None: No normalization applied, using raw deviations. - Max-Min: Normalizes based on the range between the maximum and minimum deviations. - Absolute Sum: Normalizes based on the total sum of absolute deviations. Take Profit Levels: - TP1 (2%): A quick exit to capture small price movements. - TP2 (8%): A medium-term profit target for stronger trends. - TP3 (18%): A long-term target for strong price moves. Take Profit Percentages: - TP Percent 1 (30%): Exits 30% of the position at TP1. - TP Percent 2 (20%): Exits 20% of the position at TP2. - TP Percent 3 (15%): Exits 15% of the position at TP3. Effect of Variables on Performance: - Short Indicator Lengths: More responsive to price changes but prone to false signals. - Higher Starting Factor: Slows down the response, useful for longer-term trend following. - Higher Increment Factor: Widens the variability in moving average lengths, making the strategy adapt to both short-term and long-term price trends. - Aggressive Take Profit Levels: Allows for quick profit-taking in volatile markets but may exit positions prematurely in strong trends. The default configuration offers a moderate balance between short-term responsiveness and long-term trend capturing, suitable for most traders. However, users can adjust these variables to optimize performance based on market conditions and personal preferences.
Strategi Pine Script®
oleh PresentTrading
5