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Efficient Work [LucF]█  OVERVIEW Efficient Work measures the ratio of price movement from close to close ( resulting work ) over the distance traveled to the high and low before settling down at the close ( total work ). The closer the two values are, the more Efficient Work approaches its maximum value of +1 for an up move or -1 for a down move. When price does not change, Efficient Work is zero. Higher values of Efficient Work indicate more efficient price travel between the close of two successive bars, which I interpret to be more significant, regardless of the move's amplitude. Because it measures the direction and strength of price changes rather than their amplitude, Efficient Work may be thought of as a sentiment indicator. █  CONCEPTS This oscillator's design stems from a few key concepts. Relative Levels Other than the centerline, relative rather than absolute levels are used to identify levels of interest. Accordingly, no fixed levels correspond to overbought/oversold conditions. Relative levels of interest are identified using:  • A Donchian channel (historical highs/lows).  • The oscillator's position relative to higher timeframe values.  • Oscillator levels following points in time where a divergence is identified. Higher timeframes Two progressively higher timeframes are used to calculate larger-context values for the oscillator. The rationale underlying the use of timeframes higher than the chart's is that, while they change less frequently than the values calculated at the chart's resolution, they are more meaningful because more work (trader activity) is required to calculate them. Combining the immediacy of values calculated at the chart's resolution to higher timeframe values achieves a compromise between responsiveness and reliability. Divergences as points of interest rather than directional clues A very simple interpretation of what constitutes a divergence is used. A divergence is defined as a discrepancy between any bar's direction and the direction of the signal line on that same bar. No attempt is made to attribute a directional bias to divergences when they occur. Instead, the oscillator's level is saved and subsequent movement of the oscillator relative to the saved level is what determines the bullish/bearish state of the oscillator. Conservative coloring scheme Several additive coloring conditions allow the bull/bear coloring of the oscillator's main line to be restricted to specific areas meeting all the selected conditions. The concept is built on the premise that most of the time, an oscillator's value should be viewed as mere noise, and that somewhat like price, it only occasionally conveys actionable information. █  FEATURES Plots  • Three lines can be plotted. They are named Main line , Line 2 and Line 3 . You decide which calculation to use for each line:    • The oscillator's value at the chart's resolution.    • The oscillator's value at a medium timeframe higher than the chart's resolution.    • The oscillator's value at the highest timeframe.    • An aggregate line calculated using a weighed average of the three previous lines (see the Aggregate Weights section of Inputs to configure the weights).  • The coloring conditions, divergence levels and the Hi/Lo channel always apply to the Main line, whichever calculation you decide to use for it.  • The color of lines 2 and 3 are fixed but can be set in the "Colors" section of Inputs.  • You can change the thickness of each line.  • When the aggregate line is displayed, higher timeframe values are only used in its calculation when they become available in the chart's history,   otherwise the aggregate line would appear much later on the chart. To indicate when each higher timeframe value becomes available,   a small label appears near the centerline.  • Divergences can be shown as small dots on the centerline.  • Divergence levels can be shown. The level and fill are determined by the oscillator's position relative to the last saved divergence level.  • Bull/bear markers can be displayed. They occur whenever a new bull/bear state is determined by the "Main Line Coloring Conditions".  • The Hi/Lo (Donchian) channel can be displayed, and its period defined.  • The background can display the state of any one of 11 different conditions.  • The resolutions used for the higher timeframes can be displayed to the right of the last bar's value.  • Four key values are always displayed in the Data Window (fourth icon down to the right of your chart):   oscillator values for the chart, medium and highest timeframes, and the oscillator's instant value before it is averaged. Main Line Coloring Conditions  • Nine different conditions can be selected to determine the bull/bear coloring of the main line. All conditions set to "ON" must be met to determine the bull/bear state.  • A volatility state can also be used to filter the conditions.  • When the coloring conditions and the filter do not allow for a bull/bear state to be determined, the neutral color is used. Signal  • Seven different averages can be used to calculate the average of the oscillator's value.  • The average's period can be set. A period of one will show the instant value of the oscillator,   provided you don't use linear regression or the Hull MA as they do not work with a period of one.  • An external signal can be used as the oscillator's instant value. If an already averaged external value is used, set the period to one in this indicator.  • For the cases where an external signal is used, a centerline value can be set. Higher Timeframes  • The two higher timeframes are named Medium timeframe and Highest timeframe . They can be determined using one of three methods:   • Auto-steps: the higher timeframes are determined using the chart's resolution. If the chart uses a seconds resolution, for example,    the medium and highest resolutions will be 15 and 60 minutes.   • Multiples: the timeframes are calculated using a multiple of the chart's resolution, which you can set.   • Fixed: the set timeframes do not change with the chart's resolution. Repainting  • Repainting can be controlled separately for the chart's value and the higher timeframe values.  • The default is a repainting chart value and non-repainting higher timeframe values. The Aggregate line will thus repaint by default,   as it uses the chart's value along with the higher timeframes values. Aggregate Weights  • The weight of each component of the Aggregate line can be set.  • The default is equal weights for the three components, meaning that the chart's value accounts for one third of the weight in the Aggregate. High Volatility  • This provides control over the volatility filter used in the Main line's coloring conditions and the background display.  • Volatility is determined to be high when the short-term ATR is greater than the long-term ATR. Colors  • You can define your own colors for all of the oscillator's plots.  • The default colors will perform well on both white and black chart backgrounds. Alerts  • An alert can be defined for the script. The alert will trigger whenever a bull/bear marker appears in the indicator's display.   The particular combination of coloring conditions and the display of bull/bear markers when you create the alert will thus determine when the alert triggers.   Once the alerts are created, subsequent changes to the conditions controlling the display of markers will not affect the existing alert(s).  • You can create multiple alerts from this script, each triggering on different conditions. Backtesting & Trading Engine Signal Line  • An invisible plot named "BTE Signal" is provided. It can be used as an entry signal when connected to the PineCoders Backtesting & Trading Engine as an external input.   It will generate an entry whenever a marker is displayed. █  NOTES • I do not know for sure if the calculations in Efficient Work are original. I apologize if they are not. • Because this version of Efficient Work only has access to OHLC information, it cannot measure the total distance traveled through all of a bar's ticks, but the indicator nonetheless behaves in a manner consistent with the intentions underlying its design. For Pine coders This code was written using the following standards:  • The PineCoders Coding Conventions for Pine .  • A modified version of the PineCoders MTF Oscillator Framework and MTF Selection Framework .
Pine Script® göstergesi
LucF tarafından
17
MTF Oscillator Framework [PineCoders]This framework allows Pine coders to quickly build a complete multi-timeframe oscillator from any calculation producing values around a centerline, whether the values are bounded or not. Insert your calculation in the script and you have a ready-to-publish MTF Oscillator offering a plethora of presentation options and features. █  HOW TO USE THE FRAMEWORK 1 — Insert your calculation in the `f_signal()` function at the top of the "Helper Functions" section of the script. 2 — Change the script's name in the `study()` declaration statement and the `alertcondition()` text in the last part of the "Plots" section. 3 — Adapt the default value used to initialize the CENTERLINE constant in the script's "Constants" section. 4 — If you want to publish the script, copy/paste the following description in your new publication's description and replace the "OVERVIEW" section with a description of your calculations. 5 — Voilà! ═════════════════════════════════════════════════════════════════════════ █  OVERVIEW This oscillator calculates a directional value of True Range. When a bar is up, the positive value of True Range is used. A negative value is used when the bar is down. When there is no movement during the bar, a zero value is generated, even if True Range is different than zero. Because the unit of measure of True Range is price, the oscillator is unbounded (it does not have fixed upper/lower bounds). True Range can be used as a metric for volatility, but by using a signed value, this oscillator will show the directional bias of progressively increasing/decreasing volatility, which can make it more useful than an always positive value of True Range. The True Range calculation appeared for the first time in J. Welles Wilder's New Concepts in Technical Trading Systems book published in 1978. Wilder's objective was to provide a reliable measure of the effective movement—or range—between two bars, to measure volatility. True Range is also the building block used to calculate ATR (Average True Range), which calculates the average of True Range values over a given period using the `rma` averaging method—the same used in the calculation of another of Wilder's remarkable creations: RSI. █  CONCEPTS This oscillator's design stems from a few key concepts. Relative Levels Other than the centerline, relative rather than absolute levels are used to identify levels of interest. Accordingly, no fixed levels correspond to overbought/oversold conditions. Relative levels of interest are identified using:  • A Donchian channel (historical highs/lows).  • The oscillator's position relative to higher timeframe values.  • Oscillator levels following points in time where a divergence is identified. Higher timeframes Two progressively higher timeframes are used to calculate larger-context values for the oscillator. The rationale underlying the use of timeframes higher than the chart's is that, while they change less frequently than the values calculated at the chart's resolution, they are more meaningful because more work (trader activity) is required to calculate them. Combining the immediacy of values calculated at the chart's resolution to higher timeframe values achieves a compromise between responsiveness and reliability. Divergences as points of interest rather than directional clues A very simple interpretation of what constitutes a divergence is used. A divergence is defined as a discrepancy between any bar's direction and the direction of the signal line on that same bar. No attempt is made to attribute a directional bias to divergences when they occur. Instead, the oscillator's level is saved and subsequent movement of the oscillator relative to the saved level is what determines the bullish/bearish state of the oscillator. Conservative coloring scheme Several additive coloring conditions allow the bull/bear coloring of the oscillator's main line to be restricted to specific areas meeting all the selected conditions. The concept is built on the premise that most of the time, an oscillator's value should be viewed as mere noise, and that somewhat like price, it only occasionally conveys actionable information. █  FEATURES Plots  • Three lines can be plotted. They are named Main line , Line 2 and Line 3 . You decide which calculation to use for each line:    • The oscillator's value at the chart's resolution.    • The oscillator's value at a medium timeframe higher than the chart's resolution.    • The oscillator's value at the highest timeframe.    • An aggregate line calculated using a weighed average of the three previous lines (see the Aggregate Weights section of Inputs to configure the weights).  • The coloring conditions, divergence levels and the Hi/Lo channel always apply to the Main line, whichever calculation you decide to use for it.  • The color of lines 2 and 3 are fixed but can be set in the "Colors" section of Inputs.  • You can change the thickness of each line.  • When the aggregate line is displayed, higher timeframe values are only used in its calculation when they become available in the chart's history,   otherwise the aggregate line would appear much later on the chart. To indicate when each higher timeframe value becomes available,   a small label appears near the centerline.  • Divergences can be shown as small dots on the centerline.  • Divergence levels can be shown. The level and fill are determined by the oscillator's position relative to the last saved divergence level.  • Bull/bear markers can be displayed. They occur whenever a new bull/bear state is determined by the "Main Line Coloring Conditions".  • The Hi/Lo (Donchian) channel can be displayed, and its period defined.  • The background can display the state of any one of 11 different conditions.  • The resolutions used for the higher timeframes can be displayed to the right of the last bar's value.  • Four key values are always displayed in the Data Window (fourth icon down to the right of your chart):   oscillator values for the chart, medium and highest timeframes, and the oscillator's instant value before it is averaged. Main Line Coloring Conditions  • Nine different conditions can be selected to determine the bull/bear coloring of the main line. All conditions set to "ON" must be met to determine the bull/bear state.  • A volatility state can also be used to filter the conditions.  • When the coloring conditions and the filter do not allow for a bull/bear state to be determined, the neutral color is used. Signal  • Seven different averages can be used to calculate the average of the oscillator's value.  • The average's period can be set. A period of one will show the instant value of the oscillator,   provided you don't use linear regression or the Hull MA as they do not work with a period of one.  • An external signal can be used as the oscillator's instant value. If an already averaged external value is used, set the period to one in this indicator.  • For the cases where an external signal is used, a centerline value can be set. Higher Timeframes  • The two higher timeframes are named Medium timeframe and Highest timeframe . They can be determined using one of three methods:   • Auto-steps: the higher timeframes are determined using the chart's resolution. If the chart uses a seconds resolution, for example,    the medium and highest resolutions will be 15 and 60 minutes.   • Multiples: the timeframes are calculated using a multiple of the chart's resolution, which you can set.   • Fixed: the set timeframes do not change with the chart's resolution. Repainting  • Repainting can be controlled separately for the chart's value and the higher timeframe values.  • The default is a repainting chart value and non-repainting higher timeframe values. The Aggregate line will thus repaint by default,   as it uses the chart's value along with the higher timeframes values. Aggregate Weights  • The weight of each component of the Aggregate line can be set.  • The default is equal weights for the three components, meaning that the chart's value accounts for one third of the weight in the Aggregate. High Volatility  • This provides control over the volatility filter used in the Main line's coloring conditions and the background display.  • Volatility is determined to be high when the short-term ATR is greater than the long-term ATR. Colors  • You can define your own colors for all of the oscillator's plots.  • The default colors will perform well on both white and black chart backgrounds. Alerts  • An alert can be defined for the script. The alert will trigger whenever a bull/bear marker appears in the indicator's display.   The particular combination of coloring conditions and the display of bull/bear markers when you create the alert will thus determine when the alert triggers.   Once the alerts are created, subsequent changes to the conditions controlling the display of markers will not affect the existing alert(s).  • You can create multiple alerts from this script, each triggering on different conditions. Backtesting & Trading Engine Signal Line  • An invisible plot named "BTE Signal" is provided. It can be used as an entry signal when connected to the PineCoders Backtesting & Trading Engine as an external input.   It will generate an entry whenever a marker is displayed. Look first. Then leap.
Pine Script® göstergesi
PineCoders tarafından
17
Momentum Contour Pulse [ApexLegion]🌊 Momentum Contour Pulse *Advanced Multi-Layer Momentum Visualization with High-Precision Trend Reversal Detection* 📖 **OVERVIEW** The **Momentum Contour Pulse** is a sophisticated momentum analysis tool that combines topographic-style visualization with precision trend reversal signals. This indicator creates dynamic "contour maps" of market momentum, similar to elevation maps, where color intensity and gradient effects reveal the strength and direction of underlying market forces. **Key Innovation:** Unlike traditional momentum indicators that show simple lines or histograms, this system renders momentum as flowing, gradient-based bands that expand and contract with market volatility, providing an intuitive visual representation of market energy. ✨ **KEY FEATURES** 🎨 **Dynamic Contour Visualization** - **20-Level Gradient System**: Creates smooth topographic-style momentum bands - **Adaptive Color Intensity**: Glow effects strengthen with momentum conviction - **Dual-Color Zones**: Cyan for bullish momentum, Purple for bearish momentum - **Fade Effects**: Smooth visual transitions during momentum changes ⚡ **Precision Pulse Signals** - **🟢 Bull Pulse**: Triggered at trend reversal to upward momentum + maximum intensity - **🔴 Bear Pulse**: Triggered at trend reversal to downward momentum + maximum intensity - **Professional Glow Effects**: Multi-layer plotshape rendering for premium visual quality - **ATR-Based Positioning**: Signals placed at precise reversal points with volatility-adjusted spacing 🔧 **Advanced Technical Engine** - **ATG Filter System**: Proprietary dual-timeframe EMA flow analysis with angular separation - **Adaptive Volatility Bands**: Dynamic expansion/contraction based on market conditions - **Multi-Condition Confirmation**: Combines trend detection, breakout analysis, and momentum strength - **Intensity Filtering**: Only top 25% intensity signals qualify for pulse alerts 🚀 **HOW TO USE** ### **For Visual Analysis:** 1. **Contour Reading**: Brighter bands = stronger momentum, darker bands = weaker momentum 2. **Direction Assessment**: Cyan glow = bullish bias, Purple glow = bearish bias 3. **Momentum Tracking**: Watch band intensity changes to gauge momentum shifts **For Flow Analysis:** 1. **🟢 Bull Pulse**: Monitor for upside pressure when pulse appears at support levels 2. **🔴 Bear Pulse**: Observe downside flow when pulse appears at resistance levels 3. **Confirmation**: Validate momentum expansion with other technical analysis for optimal engagement zones **For Educational Purpose:** 1. Enable **"Show Debug Table"** to see all internal calculations 2. Enable **"Show Debug Lines"** to visualize trend zones and breakout levels 3. Study how momentum intensity correlates with price movements ⚙️ **CONFIGURATION GUIDE** **ATG Filter Settings** 🎯 - **Short-Term Flow Length (21)**: Controls fast EMA sensitivity - **Long-Term Flow Length (55)**: Controls slow EMA baseline - **Volatility Expansion Multiplier (1.75)**: Adjusts breakout zone sensitivity - **Trend Angle Threshold (25°)**: Sets minimum slope requirement for trend detection **Visual Customization** 🎨 - **Upper Band Color**: Customize bullish momentum color (default: Cyan) - **Lower Band Color**: Customize bearish momentum color (default: Purple) - **Base Glow Intensity (3.0)**: Controls overall visual brightness - **Momentum Boost Multiplier (1.3)**: Amplifies visual response to strong moves **Learning Tools** 🔧 - **Show Debug Table**: Reveals all calculation steps and decision logic - **Show Debug Lines**: Displays trend zones and breakout thresholds - **Intensity Smoothing Period (8)**: Controls signal responsiveness vs stability 📚 **EDUCATIONAL VALUE** This indicator serves as an excellent learning tool for understanding: **Momentum Analysis Concepts:** - How dual-timeframe EMA analysis reveals trend structure - The relationship between volatility and trend confirmation - Angular measurement techniques for trend strength assessment **Advanced Pine Script Techniques:** - Multi-level gradient rendering using fill() functions - Dynamic color saturation based on calculated intensity - Sophisticated fade effect systems using historical arrays - Professional signal visualization with multi-layer plotshape **Market Psychology:** - How momentum builds and dissipates in trending markets - Visual representation of market conviction through color intensity - The relationship between breakout patterns and momentum confirmation ⚠️ **IMPORTANT NOTES** **Analysis Guidelines:** - Use on multiple timeframes for comprehensive momentum assessment - Combine with support/resistance levels for enhanced flow initiation accuracy - Consider overall market context when interpreting directional moves **Important Notes:** - Disable debug features for optimal chart performance - Default settings are optimized for most market conditions **Signal Interpretation:** - Pulse signals indicate potential flow reversal points, not guaranteed outcomes - Higher intensity signals generally show better momentum expansion reliability - Always practice proper risk management regardless of directional move strength ⚠️ **Limitations** 1. **Backtesting Limitations** This indicator is not a strategy and cannot perform official backtesting on TradingView's engine. Pulse signals are visual cues only, not verified historical trades. 2. **Regression Band and ATG Filter Inherent Lag** Linear regression bands are calculated from past data, creating natural lag. The dual-timeframe EMA analysis (21/55) also requires sufficient data for trend establishment. 3. **High Intensity Threshold May Miss Signals** The 75% intensity requirement filters for premium signals but may miss moderate opportunities. In low-volatility periods, pulse signals may become infrequent. 4. **Single Indicator Dependency Risk** Momentum Contour Pulse works best when combined with support/resistance analysis. Relying solely on pulse signals without market context may reduce effectiveness. 5. **Parameter Sensitivity** Modifying ATG filter settings or intensity thresholds should be done carefully. Excessive sensitivity may produce false signals; excessive filtering may miss valid setups. 🎓 **TECHNICAL METHODOLOGY** The indicator employs a sophisticated multi-step process: 1. **Flow Analysis**: Calculates dual-timeframe EMA separation and converts to angular measurements 2. **Threshold Adaptation**: Dynamically adjusts trend strength requirements based on historical volatility 3. **Breakout Detection**: Identifies price movements beyond adaptive volatility bands 4. **Intensity Calculation**: Normalizes momentum strength to 0-1 range with smoothing 5. **Visual Rendering**: Applies 20-level gradient system with dynamic transparency 6. **Signal Generation**: Filters for trend changes meeting maximum intensity criteria **Core Algorithm:** flowSeparation = math.atan(flowFast_ATG - flowSlow_ATG) * 180 / math.pi - Converts dual-timeframe EMA separation into precise angular momentum measurement, enabling topographic-style visualization of market flow intensity. ! (i.imgur.com) 🎨 **Visual Features Showcase** **Multi-Layer Contour Visualization in Action** **Dynamic Gradient Bands:** Watch how the 20-level gradient system creates topographic-style momentum maps. The **emerald upper contours** represent bullish flow zones, while **violet lower contours** indicate bearish pressure areas. Notice how band intensity **glows brighter** during strong momentum phases and **fades** during consolidation. **Precision Pulse Signal:** The **🟢 green pulse** (left side) demonstrates perfect trend reversal detection at the momentum flow initiation point. The multi-layer glow effect creates professional-grade signal visualization that stands out without cluttering the chart. **Adaptive Band Expansion:** Observe how contour bands dynamically **expand during volatility** and **contract during calm periods**, automatically adjusting to market conditions using ATR-based calculations. 📊 **What You're Seeing:** • **Emerald Glow Zones** → Bullish momentum dominance • **Violet Flow Areas** → Bearish pressure regions • **Gradient Intensity** → Real-time momentum strength • **Pulse Signals** → High-conviction reversal points • **Smooth Transitions** → Advanced fade effect system ✅ Usage Disclaimer Momentum Contour Pulse is a visual analytics tool designed for educational and informational purposes only. It is not financial advice, nor should its signals be interpreted as trading recommendations. Users are solely responsible for their own trading decisions. Always practice appropriate risk management and consult with a licensed financial professional when necessary. The creator of this tool assumes no liability for any financial losses resulting from its use.
Pine Script® göstergesi
ApexLegion tarafından
HA Reversal StrategyCertainly! Here's a detailed **description (elaboration)** for the **"HA Candle Test"** (i.e., the Heikin Ashi strategy script I just gave you): --- ### 📌 **Script Name**: HA Candle Test ### 📖 **Description**: This script visualizes **Heikin Ashi candles** and identifies **trend reversal signals** using classic momentum candle behavior — particularly the appearance of **no-wick candles**, which are known to reflect strong directional pressure in Heikin Ashi charts. It aims to **capture high-probability trend reversals** with minimal noise, relying on the natural smoothing behavior of Heikin Ashi candles. --- ### ✅ **Buy Signal Conditions**: * At least **two consecutive red Heikin Ashi candles** (indicating a short-term downtrend). * Followed by a **green Heikin Ashi candle** that has **no lower wick** (i.e., open == low). * This suggests that **buyers have taken full control**, with no push from sellers — a potential start of an uptrend. 📍 **Interpreted as**: “Market was selling off, but now buyers stepped in strongly — time to consider buying.” --- ### ✅ **Sell Signal Conditions**: * At least **two consecutive green Heikin Ashi candles** (short-term uptrend). * Followed by a **red Heikin Ashi candle** that has **no upper wick** (i.e., open == high). * This implies **sellers are dominating**, with no attempt from buyers to push higher — possible start of a downtrend. 📍 **Interpreted as**: “Market was rallying, but sellers just took over decisively — time to consider selling.” --- ### 📊 **Visual Aids Included**: * Plots **Heikin Ashi candles** on your main chart for clarity. * Uses **Buy** and **Sell** label markers (green & red) at signal points. * Compatible with any timeframe — higher timeframes typically yield stronger signals. --- ### 💡 **Suggested Use**: * Combine with **support/resistance**, **volume**, or **trend filters** for more robust setups. * Works well on **1H, 4H, and Daily charts** in trending markets. * Can be used manually or turned into an automated strategy for backtesting or alerts. --- Would you like this script packaged as a **strategy()** for backtesting, or would you like me to add **alerts** so you can get notified in real-time when signals appear?
Pine Script® göstergesi
HermioneGranger96 tarafından
EMA 12/21 Crossover with ATR-based SL/TPRecommended ATR Lenght: 7 ATR multiplier for stop loss: 1.5 ATR multiplier for take profit: 2 Recalculate- aftter order is filled: Make sure you put this on if using these settings. Using standard OHLC: put on. Theses settings make you 50% win rate with 1.5 profit factor 📈 Ultimate Scalper v2 Strategy Type: Trend-Pullback Scalping Indicators Used: EMA (12/21), MACD Histogram, ADX, ATR Platform: TradingView (Pine Script v5) Author: robinunga16 🎯 Strategy Overview The Ultimate Scalper v2 is a scalping strategy that catches pullbacks within short-term trends using a dynamic combination of 12/21 EMA bands, MACD Histogram crossovers, and ADX for trend confirmation. It uses ATR-based stop-loss and take-profit levels, making it suitable for volatility-sensitive environments. 🧠 Logic Breakdown 🔍 Trend Detection Uses the 12 EMA and 21 EMA to identify the short-term trend: Uptrend: EMA 12 > EMA 21 and ADX > threshold Downtrend: EMA 12 < EMA 21 and ADX > threshold The ADX (default: 25) filters out low-momentum environments. 📉 Pullback Identification Once a trend is detected: A pullback is flagged when the MACD Histogram moves against the trend (below 0 in uptrend, above 0 in downtrend). An entry signal is triggered when the histogram crosses back through zero (indicating momentum is resuming in the trend direction). 🟢 Entry Conditions Long Entry: EMA 12 > EMA 21 ADX > threshold MACD Histogram was below 0 and crosses above 0 Short Entry: EMA 12 < EMA 21 ADX > threshold MACD Histogram was above 0 and crosses below 0 ❌ Exit Logic (ATR-based) The strategy calculates stop-loss and take-profit levels using ATR at the time of entry: Stop-Loss: Entry Price −/+ ATR × Multiplier Take-Profit: Entry Price ± ATR × 2 × Multiplier Default ATR Multiplier: 1.0 ⚙️ Customizable Inputs ADX Threshold: Minimum trend strength for trades (default: 25) ATR Multiplier: Controls SL/TP distance (default: 1.0) 📊 Visuals EMA 12 and EMA 21 band can be added manually for visual reference. Entry and exit signals are plotted via TradingView’s built-in backtesting engine. ⚠️ Disclaimer This is a backtesting strategy, not financial advice. Performance varies across markets and timeframes. Always combine with additional confluence or risk management when going live.
Pine Script® stratejisi
RUmbro16 tarafından
EMA 12/21 Crossover with ATR-based SL/TP📈 Ultimate Scalper v2 Strategy Type: Trend-Pullback Scalping Indicators Used: EMA (12/21), MACD Histogram, ADX, ATR Platform: TradingView (Pine Script v5) Author: 🎯 Strategy Overview The Ultimate Scalper v2 is a scalping strategy that catches pullbacks within short-term trends using a dynamic combination of 12/21 EMA bands, MACD Histogram crossovers, and ADX for trend confirmation. It uses ATR-based stop-loss and take-profit levels, making it suitable for volatility-sensitive environments. 🧠 Logic Breakdown 🔍 Trend Detection Uses the 12 EMA and 21 EMA to identify the short-term trend: Uptrend: EMA 12 > EMA 21 and ADX > threshold Downtrend: EMA 12 < EMA 21 and ADX > threshold The ADX (default: 25) filters out low-momentum environments. 📉 Pullback Identification Once a trend is detected: A pullback is flagged when the MACD Histogram moves against the trend (below 0 in uptrend, above 0 in downtrend). An entry signal is triggered when the histogram crosses back through zero (indicating momentum is resuming in the trend direction). 🟢 Entry Conditions Long Entry: EMA 12 > EMA 21 ADX > threshold MACD Histogram was below 0 and crosses above 0 Short Entry: EMA 12 < EMA 21 ADX > threshold MACD Histogram was above 0 and crosses below 0 ❌ Exit Logic (ATR-based) The strategy calculates stop-loss and take-profit levels using ATR at the time of entry: Stop-Loss: Entry Price −/+ ATR × Multiplier Take-Profit: Entry Price ± ATR × 2 × Multiplier Default ATR Multiplier: 1.0 ⚙️ Customizable Inputs ADX Threshold: Minimum trend strength for trades (default: 25) ATR Multiplier: Controls SL/TP distance (default: 1.0) 📊 Visuals EMA 12 and EMA 21 band can be added manually for visual reference. Entry and exit signals are plotted via TradingView’s built-in backtesting engine. ⚠️ Disclaimer This is a backtesting strategy, not financial advice. Performance varies across markets and timeframes. Always combine with additional confluence or risk management when going live.
Pine Script® stratejisi
RUmbro16 tarafından
Dual MACD Strategy [Js.k]Strategy Overview The Dual MACD Strategy leverages two MACD indicators with different parameters to generate buy and sell signals. By combining the trend-following properties of MACD with specific entry/exit criteria, this strategy aims to capture significant price movements while effectively managing risk. Entry and Exit Conditions Long Entry: A buy signal is triggered when: The histogram of MACD1 crosses above zero. The histogram of MACD2 is positive and rising. Short Entry: A sell signal is triggered when: The histogram of MACD1 crosses below zero. The histogram of MACD2 is negative and declining. Risk Management Stop Loss and Take Profit: Stop Loss is set at 1% below the entry price for long positions and 1% above the entry price for short positions. Take Profit is set at 1.5% above the entry price for long positions and 1.5% below the entry price for short positions. Position Sizing: Each trade risks a maximum of 10% of account equity, keeping potential losses manageable and in line with standard trading practices. Backtesting Results The strategy is tested on BTCUSDT with a time frame of 1 hour, resulting in 200+ trades. The initial capital for backtesting is set to $10,000, with a realistic commission of 0.04% and a slippage of 2 ticks. Conclusion This strategy is inspired by Dreadblitz's Double MACD Buy and Sell, as well as some YouTube videos. My purpose in redeveloping them into this strategy is to validate the practicality of the Double MACD. After multiple modifications, this is the final version. I believe its profitability is limited and may lead to losses; please do not use this strategy for live trading.
Pine Script® stratejisi
Jasonkasei tarafından
1
LANZ Strategy 4.0 [Backtest]🔷 LANZ Strategy 4.0 — Strategy Execution Based on Confirmed Structure + Risk-Based SL/TP LANZ Strategy 4.0 is the official backtesting engine for the LANZ Strategy 4.0 trading logic. It simulates real-time executions based on breakout of Strong/Weak Highs or Lows, using a consistent structural system with SL/TP dynamically calculated per trade. With integrated risk management and lot size logic, this script allows traders to validate LANZ Strategy 4.0 performance with real strategy metrics. 🧠 Core Components: Confirmed Breakout Entries: Trades are executed only when price breaks the most recent structural level (Strong High or Strong Low), detected using swing pivots. Dynamic SL and TP Logic: SL is placed below/above the breakout point with a customizable buffer. TP is defined using a fixed Risk-Reward (RR) ratio. Capital-Based Risk Management: Lot size is calculated based on account equity, SL distance, and pip value (e.g. $10 per pip on XAUUSD). Clean and Controlled Executions: Only one trade is active at a time. No new entries are allowed until the current position is closed. 📊 Visual Features: Automatic plotting of Entry, SL, and TP levels. Full control of swing sensitivity (swingLength) and SL buffer. SL and TP lines extend visually for clarity of trade risk and reward zones. ⚙️ How It Works: Detects pivots and classifies trend direction. Waits for breakout above Strong High (BUY) or below Strong Low (SELL). Calculates dynamic SL and TP based on buffer and RR. Computes trade size automatically based on risk per trade %. Executes entry and manages exits via strategy engine. 📝 Notes: Ideal for evaluating the LANZ Strategy 4.0 logic over historical data. Must be paired with the original indicator (LANZ Strategy 4.0) for live trading. Best used on assets with clear structural behavior (gold, indices, FX). 📌 Credits: Backtest engine developed by LANZ based on the official rules of LANZ Strategy 4.0. This script ensures visual and logical consistency between live charting and backtesting simulations.
Pine Script® stratejisi
rau_u_lanz tarafından
4
LANZ Strategy 2.0 [Backtest]🔷 LANZ Strategy 2.0 — Structural Breakout Logic with Dynamic Swing Protection LANZ Strategy 2.0 is a precision-focused backtesting system built for intraday traders who rely on structural confirmations before the London session to guide directional bias. This tool uses smart swing detection, risk-defined position sizing, and strict time-based execution to simulate real trading conditions with clarity and control. 🧠 Core Components: Structural Confirmation (Trend & BoS): Detects trend direction and break of structure (BoS) using a three-swing logic, aligning trade entries with valid structural movement. Time-Based Execution: Trades are triggered exclusively at 02:00 a.m. New York time, ensuring disciplined and repeatable intraday testing. Swing-Based SL Models: Traders can select between three stop-loss protection types: First Swing: Most recent structural level Second Swing: Prior level Full Coverage: All recent swing levels + configurable pip buffer Dynamic TP Calculation: Take-Profit is projected as a risk-based multiple (RR), fully adjustable via input. Capital-Based Risk Management: Risk is defined as a percentage of a fixed account size (e.g., $100 per trade from $10,000), and lot size is automatically calculated based on SL distance. Fallback Entry Logic: If structural breakout is present but trend is not confirmed, a secondary entry is triggered. End-of-Session Management: Any open trades are automatically closed at 11:45 a.m. NY time, with optional manual labeling or review. 📊 Visual Features (Optional in Indicator Version): (Note: Visuals apply to the indicator version of LANZ 2.0, not this backtest script) Swing level labels (1st, 2nd) and dynamic SL/TP lines. Real-time session coloring for clarity: Pre-London, Entry Window, and NY Close. Outcome labels: +RR, -RR, or net % at close. Auto-cleanup of previous drawings for a clean chart per session. ⚙️ How It Works: Detects last trend and BoS using swing logic before 02:00 a.m. NY. At 02:00 a.m., evaluates directional bias and executes BUY or SELL if confirmed. Applies selected SL logic (1st, 2nd, or full swing protection). Sets TP based on the RR multiplier. Closes the trade either on SL, TP, or at 11:45 a.m. NY manually. 🔔 Alerts: Time-of-day alert at 02:00 a.m. NY to monitor execution. Can be extended to cover SL/TP triggers or new BoS events. 📝 Notes: Designed for backtesting precision and discretionary decision-making. Ideal for Forex pairs, indices, or assets active during the London session. Fully customizable: session timing, swing logic, SL buffer, and RR. 👤 Credits: Strategy built by @rau_u_lanz using Pine Script v6, combining structural logic, capital-based risk control, and London-session timing in a backtest-ready framework for traders who demand accuracy and structure.
Pine Script® stratejisi
rau_u_lanz tarafından
Supertrend - SSL Strategy with Toggle [AlPashaTrader]📈 Overview of the Supertrend - SSL Strategy with Toggle Indicator This strategy combines two powerful technical tools—Supertrend and SSL Channel—to deliver precise and reliable trading signals, designed for traders who value confirmation and risk management. 🎯 ⚙️ How This Indicator Was Created The strategy was meticulously crafted to harness the complementary strengths of: Supertrend Indicator: A trend-following tool based on Average True Range (ATR) and a multiplier factor, it detects bullish or bearish trends by calculating dynamic support and resistance levels. 📊 SSL Channel: A channel indicator built using two Simple Moving Averages (SMA) of the highs and lows over a set period. It cleverly determines trend direction by comparing price action relative to these moving averages. 🔄 These two indicators are merged into one cohesive strategy with an optional toggle feature allowing the trader to choose whether to require confirmation from both indicators before taking a position or to act on signals from either. 🎚️ The script includes user-friendly controls for: Defining a custom trading date range 📅, useful for backtesting or restricting trading to specific market conditions. Setting the ATR length and multiplier for Supertrend sensitivity ⚙️. Adjusting the SSL channel period for responsiveness to price changes ⏱️. Choosing whether to require dual confirmation (both Supertrend and SSL signals) for more conservative trading or a single indicator trigger for a more aggressive approach 🛡️ vs ⚔️. 🔍 How This Indicator Works Signal Generation: Supertrend analyzes market volatility and trend direction, signaling a potential buy when the trend turns bullish 📈 and a sell when bearish 📉. SSL Channel tracks price relative to its high and low moving averages to identify uptrends and downtrends. A crossover of the SSL Up and SSL Down lines generates buy or sell signals 🔔. Confirmation Logic: When confirmation is enabled, the strategy waits for agreement between both indicators before entering a trade ✅, reducing false signals. When confirmation is disabled, it trades based on signals from either indicator ⚡, allowing more frequent entries but potentially higher risk. Entry and Exit Rules: Entry occurs when the indicator(s) signal a new trend direction 🚀 for long, or decline for short. Exit happens when opposing signals appear 🛑, closing existing positions to lock in profits or cut losses. Visual Aids: The SSL Channel lines are plotted directly on the chart with distinct colors to intuitively show trend shifts 🎨. The system respects the specified date range ⏳, ensuring trades only occur within user-defined periods. 🎯 How to Use This Strategy Effectively Set Your Preferences: Adjust ATR length, factor, and SSL period to your style. More sensitive? Decrease lengths. Smoother? Increase them ⚙️. Choose Confirmation Mode: Use the toggle depending on your risk appetite: Confirmation ON ✅: For conservative traders wanting high-probability setups. Confirmation OFF ⚡: For aggressive traders who want more signals. Apply Date Filters: Focus your trading or backtesting on specific periods 📅. Monitor Entry/Exit Signals: Watch crossovers and Supertrend changes closely 👀. Risk Management: The strategy uses position sizing as a percentage of equity (default 15%) 💰. Adjust accordingly. Combine with Other Tools: Enhance results by combining this with volume, price action, or fundamentals 🔧. 📝 Summary This Supertrend - SSL Strategy with Toggle is a dynamic and flexible trading tool blending volatility-based trend detection with moving-average channel insights. It empowers traders to customize confirmation strictness, control trading periods, and efficiently capture trending opportunities while managing risk smartly. By integrating proven indicators in a user-friendly, visually intuitive package, this strategy stands as a sophisticated tool suitable for various markets and trading styles. 🚀📊
Pine Script® stratejisi
LePasha tarafından
Buy/Sell Ei - Premium Edition (Fixed Momentum)**📈 Buy/Sell Ei Indicator - Smart Trading System with Price Pattern Detection 📉** **🔍 What is it?** The **Buy/Sell Ei** indicator is a professional tool designed to identify **buy and sell signals** based on a combination of **candlestick patterns** and **moving averages**. With high accuracy, it pinpoints optimal entry and exit points in **both bullish and bearish trends**, making it suitable for forex pairs, stocks, and cryptocurrencies. --- ### **🌟 Key Features:** ✅ **Advanced Candlestick Pattern Detection** ✅ **Momentum Filter (Customizable consecutive candle count)** ✅ **Live Trade Mode (Instant signals for active trading)** ✅ **Dual MA Support (Fast & Slow MA with multiple types: SMA, EMA, WMA, VWMA)** ✅ **Date Filter (Focus on specific trading periods)** ✅ **Win/Loss Tracking (Performance analytics with success rate)** --- ### **🚀 Why Choose Buy/Sell Ei?** ✔ **Precision:** Reduces false signals with strict pattern rules. ✔ **Flexibility:** Works in both live trading and backtesting modes. ✔ **User-Friendly:** Clear labels and alerts for easy decision-making. ✔ **Adaptive:** Compatible with all timeframes (M1 to Monthly). --- ### **🛠 How It Works:** 1. **Trend Confirmation:** Uses MAs to filter trades in the trend’s direction. 2. **Pattern Recognition:** Detects "Ready to Buy/Sell" and confirmed signals. 3. **Momentum Check:** Optional filter for consecutive bullish/bearish candles. 4. **Live Alerts:** Labels appear instantly in Live Trade Mode. --- ### **📊 Ideal For:** - **Day Traders** (Scalping & Intraday) - **Swing Traders** (Medium-term setups) - **Technical Analysts** (Backtesting strategies) **🔧 Designed by Sahar Chadri | Optimized for TradingView** **🎯 Trade Smarter, Not Harder!**
Pine Script® göstergesi
amekpj tarafından
Bober XM v2.0# ₿ober XM v2.0 Trading Bot Documentation **Developer's Note**: While our previous Bot 1.3.1 was removed due to guideline violations, this setback only fueled our determination to create something even better. Rising from this challenge, Bober XM 2.0 emerges not just as an update, but as a complete reimagining with multi-timeframe analysis, enhanced filters, and superior adaptability. This adversity pushed us to innovate further and deliver a strategy that's smarter, more agile, and more powerful than ever before. Challenges create opportunity - welcome to Cryptobeat's finest work yet. ## !!!!You need to tune it for your own pair and timeframe and retune it periodicaly!!!!! ## Overview The ₿ober XM v2.0 is an advanced dual-channel trading bot with multi-timeframe analysis capabilities. It integrates multiple technical indicators, customizable risk management, and advanced order execution via webhook for automated trading. The bot's distinctive feature is its separate channel systems for long and short positions, allowing for asymmetric trade strategies that adapt to different market conditions across multiple timeframes. ### Key Features - **Multi-Timeframe Analysis**: Analyze price data across multiple timeframes simultaneously - **Dual Channel System**: Separate parameter sets for long and short positions - **Advanced Entry Filters**: RSI, Volatility, Volume, Bollinger Bands, and KEMAD filters - **Machine Learning Moving Average**: Adaptive prediction-based channels - **Multiple Entry Strategies**: Breakout, Pullback, and Mean Reversion modes - **Risk Management**: Customizable stop-loss, take-profit, and trailing stop settings - **Webhook Integration**: Compatible with external trading bots and platforms ### Strategy Components | Component | Description | |---------|-------------| | **Dual Channel Trading** | Uses either Keltner Channels or Machine Learning Moving Average (MLMA) with separate settings for long and short positions | | **MLMA Implementation** | Machine learning algorithm that predicts future price movements and creates adaptive bands | | **Pivot Point SuperTrend** | Trend identification and confirmation system based on pivot points | | **Three Entry Strategies** | Choose between Breakout, Pullback, or Mean Reversion approaches | | **Advanced Filter System** | Multiple customizable filters with multi-timeframe support to avoid false signals | | **Custom Exit Logic** | Exits based on OBV crossover of its moving average combined with pivot trend changes | ### Note for Novice Users This is a fully featured real trading bot and can be tweaked for any ticker — SOL is just an example. It follows this structure: 1. **Indicator** – gives the initial signal 2. **Entry strategy** – decides when to open a trade 3. **Exit strategy** – defines when to close it 4. **Trend confirmation** – ensures the trade follows the market direction 5. **Filters** – cuts out noise and avoids weak setups 6. **Risk management** – controls losses and protects your capital To tune it for a different pair, you'll need to start from scratch: 1. Select the timeframe (candle size) 2. Turn off all filters and trend entry/exit confirmations 3. Choose a channel type, channel source and entry strategy 4. Adjust risk parameters 5. Tune long and short settings for the channel 6. Fine-tune the Pivot Point Supertrend and Main Exit condition OBV This will generate a lot of signals and activity on the chart. Your next task is to find the right combination of filters and settings to reduce noise and tune it for profitability. ### Default Strategy values Default values are tuned for: Symbol BITGET:SOLUSDT.P 5min candle Filters are off by default: Try to play with it to understand how it works ## Configuration Guide ### General Settings | Setting | Description | Default Value | |---------|-------------|---------------| | **Long Positions** | Enable or disable long trades | Enabled | | **Short Positions** | Enable or disable short trades | Enabled | | **Risk/Reward Area** | Visual display of stop-loss and take-profit zones | Enabled | | **Long Entry Source** | Price data used for long entry signals | hl2 (High+Low/2) | | **Short Entry Source** | Price data used for short entry signals | hl2 (High+Low/2) | The bot allows you to trade long positions, short positions, or both simultaneously. Each direction has its own set of parameters, allowing for fine-tuned strategies that recognize the asymmetric nature of market movements. ### Multi-Timeframe Settings 1. **Enable Multi-Timeframe Analysis**: Toggle 'Enable Multi-Timeframe Analysis' in the Multi-Timeframe Settings section 2. **Configure Timeframes**: Set appropriate higher timeframes based on your trading style: - Timeframe 1: Default is now 15 minutes (intraday confirmation) - Timeframe 2: Default is 4 hours (trend direction) 3. **Select Sources per Indicator**: For each indicator (RSI, KEMAD, Volume, etc.), choose: - The desired timeframe (current, mtf1, or mtf2) - The appropriate price type (open, high, low, close, hl2, hlc3, ohlc4) ### Entry Strategies - **Breakout**: Enter when price breaks above/below the channel - **Pullback**: Enter when price pulls back to the channel - **Mean Reversion**: Enter when price is extended from the channel You can enable different strategies for long and short positions. ### Core Components ### Risk Management - **Position Size**: Control risk with percentage-based position sizing - **Stop Loss Options**: - Fixed: Set a specific price or percentage from entry - ATR-based: Dynamic stop-loss based on market volatility - Swing: Uses recent swing high/low points - **Take Profit**: Multiple targets with percentage allocation - **Trailing Stop**: Dynamic stop that follows price movement ## Advanced Usage Strategies ### Moving Average Type Selection Guide - **SMA**: More stable in choppy markets, good for higher timeframes - **EMA/WMA**: More responsive to recent price changes, better for entry signals - **VWMA**: Adds volume weighting for stronger trends, use with Volume filter - **HMA**: Balance between responsiveness and noise reduction, good for volatile markets ### Multi-Timeframe Strategy Approaches - **Trend Confirmation**: Use higher timeframe RSI (mtf2) for overall trend, current timeframe for entries - **Entry Precision**: Use KEMAD on current timeframe with volume filter on mtf1 - **False Signal Reduction**: Apply RSI filter on mtf1 with strict KEMAD settings ### Market Condition Optimization | Market Condition | Recommended Settings | |------------------|----------------------| | **Trending** | Use Breakout strategy with KEMAD filter on higher timeframe | | **Ranging** | Use Mean Reversion with strict RSI filter (mtf1) | | **Volatile** | Increase ATR multipliers, use HMA for moving averages | | **Low Volatility** | Decrease noise parameters, use pullback strategy | ## Webhook Integration The strategy features a professional webhook system that allows direct connectivity to your exchange or trading platform of choice through third-party services like 3commas, Alertatron, or Autoview. The webhook payload includes all necessary parameters for automated execution: - Entry price and direction - Stop loss and take profit levels - Position size - Custom identifier for webhook routing ## Performance Optimization Tips 1. **Start with Defaults**: Begin with the default settings for your timeframe before customizing 2. **Adjust One Component at a Time**: Make incremental changes and test the impact 3. **Match MA Types to Market Conditions**: Use appropriate moving average types based on the Market Condition Optimization table 4. **Timeframe Synergy**: Create logical relationships between timeframes (e.g., 5min chart with 15min and 4h higher timeframes) 5. **Periodic Retuning**: Markets evolve - regularly review and adjust parameters ## Common Setups ### Crypto Trend-Following - MLMA with EMA or HMA - Higher RSI thresholds (75/25) - KEMAD filter on mtf1 - Breakout entry strategy ### Stock Swing Trading - MLMA with SMA for stability - Volume filter with higher threshold - KEMAD with increased filter order - Pullback entry strategy ### Forex Scalping - MLMA with WMA and lower noise parameter - RSI filter on current timeframe - Use highest timeframe for trend direction only - Mean Reversion strategy ## Webhook Configuration - **Benefits**: - Automated trade execution without manual intervention - Immediate response to market conditions - Consistent execution of your strategy - **Implementation Notes**: - Requires proper webhook configuration on your exchange or platform - Test thoroughly with small position sizes before full deployment - Consider latency between signal generation and execution ### Backtesting Period Define a specific historical period to evaluate the bot's performance: | Setting | Description | Default Value | |---------|-------------|---------------| | **Start Date** | Beginning of backtest period | January 1, 2025 | | **End Date** | End of backtest period | December 31, 2026 | - **Best Practice**: Test across different market conditions (bull markets, bear markets, sideways markets) - **Limitation**: Past performance doesn't guarantee future results ## Entry and Exit Strategies ### Dual-Channel System A key innovation of the Bober XM is its dual-channel approach: - **Independent Parameters**: Each trade direction has its own channel settings - **Asymmetric Trading**: Recognizes that markets often behave differently in uptrends versus downtrends - **Optimized Performance**: Fine-tune settings for both bullish and bearish conditions This approach allows the bot to adapt to the natural asymmetry of markets, where uptrends often develop gradually while downtrends can be sharp and sudden. ### Channel Types #### 1. Keltner Channels Traditional volatility-based channels using EMA and ATR: | Setting | Long Default | Short Default | |---------|--------------|---------------| | **EMA Length** | 37 | 20 | | **ATR Length** | 13 | 17 | | **Multiplier** | 1.4 | 1.9 | | **Source** | low | high | - **Strengths**: - Reliable in trending markets - Less prone to whipsaws than Bollinger Bands - Clear visual representation of volatility - **Weaknesses**: - Can lag during rapid market changes - Less effective in choppy, non-trending markets #### 2. Machine Learning Moving Average (MLMA) Advanced predictive model using kernel regression (RBF kernel): | Setting | Description | Options | |---------|-------------|--------| | **Source MA** | Price data used for MA calculations | Any price source (low/high/close/etc.) | | **Moving Average Type** | Type of MA algorithm for calculations | SMA, EMA, WMA, VWMA, RMA, HMA | | **Trend Source** | Price data used for trend determination | Any price source (close default) | | **Window Size** | Historical window for MLMA calculations | 5+ (default: 16) | | **Forecast Length** | Number of bars to forecast ahead | 1+ (default: 3) | | **Noise Parameter** | Controls smoothness of prediction | 0.01+ (default: ~0.43) | | **Band Multiplier** | Multiplier for channel width | 0.1+ (default: 0.5-0.6) | - **Strengths**: - Predictive rather than reactive - Adapts quickly to changing market conditions - Better at identifying trend reversals early - **Weaknesses**: - More computationally intensive - Requires careful parameter tuning - Can be sensitive to input data quality ### Entry Strategies | Strategy | Description | Ideal Market Conditions | |----------|-------------|-------------------------| | **Breakout** | Enters when price breaks through channel bands, indicating strong momentum | High volatility, emerging trends | | **Pullback** | Enters when price retraces to the middle band after testing extremes | Established trends with regular pullbacks | | **Mean Reversion** | Enters at channel extremes, betting on a return to the mean | Range-bound or oscillating markets | #### Breakout Strategy (Default) - **Implementation**: Enters long when price crosses above the upper band, short when price crosses below the lower band - **Strengths**: Captures strong momentum moves, performs well in trending markets - **Weaknesses**: Can lead to late entries, higher risk of false breakouts - **Optimization Tips**: - Increase channel multiplier for fewer but more reliable signals - Combine with volume confirmation for better accuracy #### Pullback Strategy - **Implementation**: Enters long when price pulls back to middle band during uptrend, short during downtrend pullbacks - **Strengths**: Better entry prices, lower risk, higher probability setups - **Weaknesses**: Misses some strong moves, requires clear trend identification - **Optimization Tips**: - Use with trend filters to confirm overall direction - Adjust middle band calculation for market volatility #### Mean Reversion Strategy - **Implementation**: Enters long at lower band, short at upper band, expecting price to revert to the mean - **Strengths**: Excellent entry prices, works well in ranging markets - **Weaknesses**: Dangerous in strong trends, can lead to fighting the trend - **Optimization Tips**: - Implement strong trend filters to avoid counter-trend trades - Use smaller position sizes due to higher risk nature ### Confirmation Indicators #### Pivot Point SuperTrend Combines pivot points with ATR-based SuperTrend for trend confirmation: | Setting | Default Value | |---------|---------------| | **Pivot Period** | 25 | | **ATR Factor** | 2.2 | | **ATR Period** | 41 | - **Function**: Identifies significant market turning points and confirms trend direction - **Implementation**: Requires price to respect the SuperTrend line for trade confirmation #### Weighted Moving Average (WMA) Provides additional confirmation layer for entries: | Setting | Default Value | |---------|---------------| | **Period** | 15 | | **Source** | ohlc4 (average of Open, High, Low, Close) | - **Function**: Confirms trend direction and filters out low-quality signals - **Implementation**: Price must be above WMA for longs, below for shorts ### Exit Strategies #### On-Balance Volume (OBV) Based Exits Uses volume flow to identify potential reversals: | Setting | Default Value | |---------|---------------| | **Source** | ohlc4 | | **MA Type** | HMA (Options: SMA, EMA, WMA, RMA, VWMA, HMA) | | **Period** | 22 | - **Function**: Identifies divergences between price and volume to exit before reversals - **Implementation**: Exits when OBV crosses its moving average in the opposite direction - **Customizable MA Type**: Different MA types provide varying sensitivity to OBV changes: - **SMA**: Traditional simple average, equal weight to all periods - **EMA**: More weight to recent data, responds faster to price changes - **WMA**: Weighted by recency, smoother than EMA - **RMA**: Similar to EMA but smoother, reduces noise - **VWMA**: Factors in volume, helpful for OBV confirmation - **HMA**: Reduces lag while maintaining smoothness (default) #### ADX Exit Confirmation Uses Average Directional Index to confirm trend exhaustion: | Setting | Default Value | |---------|---------------| | **ADX Threshold** | 35 | | **ADX Smoothing** | 60 | | **DI Length** | 60 | - **Function**: Confirms trend weakness before exiting positions - **Implementation**: Requires ADX to drop below threshold or DI lines to cross ## Filter System ### RSI Filter - **Function**: Controls entries based on momentum conditions - **Parameters**: - Period: 15 (default) - Overbought level: 71 - Oversold level: 23 - Multi-timeframe support: Current, MTF1 (15min), or MTF2 (4h) - Customizable price source (open, high, low, close, hl2, hlc3, ohlc4) - **Implementation**: Blocks long entries when RSI > overbought, short entries when RSI < oversold ### Volatility Filter - **Function**: Prevents trading during excessive market volatility - **Parameters**: - Measure: ATR (Average True Range) - Period: Customizable (default varies by timeframe) - Threshold: Adjustable multiplier - Multi-timeframe support - Customizable price source - **Implementation**: Blocks trades when current volatility exceeds threshold × average volatility ### Volume Filter - **Function**: Ensures adequate market liquidity for trades - **Parameters**: - Threshold: 0.4× average (default) - Measurement period: 5 (default) - Moving average type: Customizable (HMA default) - Multi-timeframe support - Customizable price source - **Implementation**: Requires current volume to exceed threshold × average volume ### Bollinger Bands Filter - **Function**: Controls entries based on price relative to statistical boundaries - **Parameters**: - Period: Customizable - Standard deviation multiplier: Adjustable - Moving average type: Customizable - Multi-timeframe support - Customizable price source - **Implementation**: Can require price to be within bands or breaking out of bands depending on strategy ### KEMAD Filter (Kalman EMA Distance) - **Function**: Advanced trend confirmation using Kalman filter algorithm - **Parameters**: - Process Noise: 0.35 (controls smoothness) - Measurement Noise: 24 (controls reactivity) - Filter Order: 6 (higher = more smoothing) - ATR Length: 8 (for bandwidth calculation) - Upper Multiplier: 2.0 (for long signals) - Lower Multiplier: 2.7 (for short signals) - Multi-timeframe support - Customizable visual indicators - **Implementation**: Generates signals based on price position relative to Kalman-filtered EMA bands ## Risk Management System ### Position Sizing Automatically calculates position size based on account equity and risk parameters: | Setting | Default Value | |---------|---------------| | **Risk % of Equity** | 50% | - **Implementation**: - Position size = (Account equity × Risk %) ÷ (Entry price × Stop loss distance) - Adjusts automatically based on volatility and stop placement - **Best Practices**: - Start with lower risk percentages (1-2%) until strategy is proven - Consider reducing risk during high volatility periods ### Stop-Loss Methods Multiple stop-loss calculation methods with separate configurations for long and short positions: | Method | Description | Configuration | |--------|-------------|---------------| | **ATR-Based** | Dynamic stops based on volatility | ATR Period: 14, Multiplier: 2.0 | | **Percentage** | Fixed percentage from entry | Long: 1.5%, Short: 1.5% | | **PIP-Based** | Fixed currency unit distance | 10.0 pips | - **Implementation Notes**: - ATR-based stops adapt to changing market volatility - Percentage stops maintain consistent risk exposure - PIP-based stops provide precise control in stable markets ### Trailing Stops Locks in profits by adjusting stop-loss levels as price moves favorably: | Setting | Default Value | |---------|---------------| | **Stop-Loss %** | 1.5% | | **Activation Threshold** | 2.1% | | **Trailing Distance** | 1.4% | - **Implementation**: - Initial stop remains fixed until profit reaches activation threshold - Once activated, stop follows price at specified distance - Locks in profit while allowing room for normal price fluctuations ### Risk-Reward Parameters Defines the relationship between risk and potential reward: | Setting | Default Value | |---------|---------------| | **Risk-Reward Ratio** | 1.4 | | **Take Profit %** | 2.4% | | **Stop-Loss %** | 1.5% | - **Implementation**: - Take profit distance = Stop loss distance × Risk-reward ratio - Higher ratios require fewer winning trades for profitability - Lower ratios increase win rate but reduce average profit ### Filter Combinations The strategy allows for simultaneous application of multiple filters: - **Recommended Combinations**: - Trending markets: RSI + KEMAD filters - Ranging markets: Bollinger Bands + Volatility filters - All markets: Volume filter as minimum requirement - **Performance Impact**: - Each additional filter reduces the number of trades - Quality of remaining trades typically improves - Optimal combination depends on market conditions and timeframe ### Multi-Timeframe Filter Applications | Filter Type | Current Timeframe | MTF1 (15min) | MTF2 (4h) | |-------------|-------------------|-------------|------------| | RSI | Quick entries/exits | Intraday trend | Overall trend | | Volume | Immediate liquidity | Sustained support | Market participation | | Volatility | Entry timing | Short-term risk | Regime changes | | KEMAD | Precise signals | Trend confirmation | Major reversals | ## Visual Indicators and Chart Analysis The bot provides comprehensive visual feedback on the chart: - **Channel Bands**: Keltner or MLMA bands showing potential support/resistance - **Pivot SuperTrend**: Colored line showing trend direction and potential reversal points - **Entry/Exit Markers**: Annotations showing actual trade entries and exits - **Risk/Reward Zones**: Visual representation of stop-loss and take-profit levels These visual elements allow for: - Real-time strategy assessment - Post-trade analysis and optimization - Educational understanding of the strategy logic ## Implementation Guide ### TradingView Setup 1. Load the script in TradingView Pine Editor 2. Apply to your preferred chart and timeframe 3. Adjust parameters based on your trading preferences 4. Enable alerts for webhook integration ### Webhook Integration 1. Configure webhook URL in TradingView alerts 2. Set up receiving endpoint on your trading platform 3. Define message format matching the bot's output 4. Test with small position sizes before full deployment ### Optimization Process 1. Backtest across different market conditions 2. Identify parameter sensitivity through multiple tests 3. Focus on risk management parameters first 4. Fine-tune entry/exit conditions based on performance metrics 5. Validate with out-of-sample testing ## Performance Considerations ### Strengths - Adaptability to different market conditions through dual channels - Multiple layers of confirmation reducing false signals - Comprehensive risk management protecting capital - Machine learning integration for predictive edge ### Limitations - Complex parameter set requiring careful optimization - Potential over-optimization risk with so many variables - Computational intensity of MLMA calculations - Dependency on proper webhook configuration for execution ### Best Practices - Start with conservative risk settings (1-2% of equity) - Test thoroughly in demo environment before live trading - Monitor performance regularly and adjust parameters - Consider market regime changes when evaluating results ## Conclusion The ₿ober XM v2.0 represents a significant evolution in trading strategy design, combining traditional technical analysis with machine learning elements and multi-timeframe analysis. The core strength of this system lies in its adaptability and recognition of market asymmetry. ### Market Asymmetry and Adaptive Approach The strategy acknowledges a fundamental truth about markets: bullish and bearish phases behave differently and should be treated as distinct environments. The dual-channel system with separate parameters for long and short positions directly addresses this asymmetry, allowing for optimized performance regardless of market direction. ### Targeted Backtesting Philosophy It's counterproductive to run backtests over excessively long periods. Markets evolve continuously, and strategies that worked in previous market regimes may be ineffective in current conditions. Instead: - Test specific market phases separately (bull markets, bear markets, range-bound periods) - Regularly re-optimize parameters as market conditions change - Focus on recent performance with higher weight than historical results - Test across multiple timeframes to ensure robustness ### Multi-Timeframe Analysis as a Game-Changer The integration of multi-timeframe analysis fundamentally transforms the strategy's effectiveness: - **Increased Safety**: Higher timeframe confirmations reduce false signals and improve trade quality - **Context Awareness**: Decisions made with awareness of larger trends reduce adverse entries - **Adaptable Precision**: Apply strict filters on lower timeframes while maintaining awareness of broader conditions - **Reduced Noise**: Higher timeframe data naturally filters market noise that can trigger poor entries The ₿ober XM v2.0 provides traders with a framework that acknowledges market complexity while offering practical tools to navigate it. With proper setup, realistic expectations, and attention to changing market conditions, it delivers a sophisticated approach to systematic trading that can be continuously refined and optimized.
Pine Script® stratejisi
buble_lab tarafından
4
Multi-Indicator Swing [TIAMATCRYPTO]v6# Strategy Description: ## Multi-Indicator Swing This strategy is designed for swing trading across various markets by combining multiple technical indicators to identify high-probability trading opportunities. The system focuses on trend strength confirmation and volume analysis to generate precise entry and exit signals. ### Core Components: - **Supertrend Indicator**: Acts as the primary trend direction filter with optimized settings (Factor: 3.0, ATR Period: 10) to balance responsiveness and reliability. - **ADX (Average Directional Index)**: Confirms the strength of the prevailing trend, filtering out sideways or choppy market conditions where the strategy avoids taking positions. - **Liquidity Delta**: A volume-based indicator that analyzes buying and selling pressure imbalances to validate trend direction and potential reversals. - **PSAR (Optional)**: Can be enabled to add additional confirmation for trend changes, turned off by default to reduce signal filtering. ### Key Features: - **Flexible Direction Trading**: Choose between long-only, short-only, or bidirectional trading to adapt to market conditions or account restrictions. - **Conservative Risk Management**: Implements fixed percentage-based stop losses (default 2%) and take profits (default 4%) for a positive risk-reward ratio. - **Realistic Backtesting Parameters**: Includes commission (0.1%) and slippage (2 points) to reflect real-world trading conditions. - **Visual Signals**: Clear buy/sell arrows with customizable sizes for easy identification on the chart. - **Information Panel**: Dynamic display showing active indicators and current risk settings. ### Best Used On: Daily timeframes for cryptocurrencies, forex, or stock indices. The strategy performs optimally on assets with clear trending behavior and sufficient volatility. ### Default Settings: Optimized for conservative position sizing (5% of equity per trade) with an initial capital of $10,000. The backtesting period (2021-2023) provides a statistically significant sample of varied market conditions.
Pine Script® stratejisi
TiamatCrypto tarafından
The Echo System🔊 The Echo System – Trend + Momentum Trading Strategy Overview: The Echo System is a trend-following and momentum-based trading tool designed to identify high-probability buy and sell signals through a combination of market trend analysis, price movement strength, and candlestick validation. Key Features: 📈 Trend Detection: Uses a 30 EMA vs. 200 EMA crossover to confirm bullish or bearish trends. Visual trend strength meter powered by percentile ranking of EMA distance. 🔄 Momentum Check: Detects significant price moves over the past 6 bars, enhanced by ATR-based scaling to filter weak signals. 🕯️ Candle Confirmation: Validates recent price action using the previous and current candle body direction. ✅ Smart Conditions Table: A live dashboard showing all trade condition checks (Trend, Recent Price Move, Candlestick confirmations) in real-time with visual feedback. 📊 Backtesting & Stats: Auto-calculates average win, average loss, risk-reward ratio (RRR), and win rate across historical signals. Clean performance dashboard with color-coded metrics for easy reading. 🔔 Alerts: Set alerts for trade signals or significant price movements to stay updated without monitoring the chart 24/7. Visuals: Trend markers and price movement flags plotted directly on the chart. Dual tables: 📈 Conditions table (top-right): breaks down trade criteria status. 📊 Performance table (bottom-right): shows real-time stats on win/loss and RRR.🔊 The Echo System – Trend + Momentum Trading Strategy Overview: The Echo System is a trend-following and momentum-based trading tool designed to identify high-probability buy and sell signals through a combination of market trend analysis, price movement strength, and candlestick validation. Key Features: 📈 Trend Detection: Uses a 30 EMA vs. 200 EMA crossover to confirm bullish or bearish trends. Visual trend strength meter powered by percentile ranking of EMA distance. 🔄 Momentum Check: Detects significant price moves over the past 6 bars, enhanced by ATR-based scaling to filter weak signals. 🕯️ Candle Confirmation: Validates recent price action using the previous and current candle body direction. ✅ Smart Conditions Table: A live dashboard showing all trade condition checks (Trend, Recent Price Move, Candlestick confirmations) in real-time with visual feedback. 📊 Backtesting & Stats: Auto-calculates average win, average loss, risk-reward ratio (RRR), and win rate across historical signals. Clean performance dashboard with color-coded metrics for easy reading. 🔔 Alerts: Set alerts for trade signals or significant price movements to stay updated without monitoring the chart 24/7. Visuals: Trend markers and price movement flags plotted directly on the chart. Dual tables: 📈 Conditions table (top-right): breaks down trade criteria status. 📊 Performance table (bottom-right): shows real-time stats on win/loss and RRR.
Pine Script® göstergesi
elicruz2380 tarafından
1
Missing Candle AnalyzerMissing Candle Analyzer: Purpose and Importance Overview The Missing Candle Analyzer is a Pine Script tool developed to detect and analyze gaps in candlestick data, specifically for cryptocurrency trading. In cryptocurrency markets, it is not uncommon to observe missing candles—time periods where no price data is recorded. These gaps can occur due to low liquidity, exchange downtime, or data feed issues. Purpose The primary purpose of this tool is to identify missing candles in a given timeframe and provide detailed statistics about these gaps. Missing candles can introduce significant errors in trading strategies, particularly those relying on continuous price data for technical analysis, backtesting, or automated trading. By detecting and quantifying these gaps, traders can: Assess the reliability of the price data. Adjust their strategies to account for incomplete data. Avoid potential miscalculations in indicators or trade signals that assume continuous candlestick data. Why It Matters In cryptocurrency trading, where volatility is high and trading decisions are often made in real-time, missing candles can lead to: Inaccurate Technical Indicators : Indicators like moving averages, RSI, or MACD may produce misleading signals if candles are missing. Faulty Backtesting : Historical data with gaps can skew backtest results, leading to over-optimistic or unreliable strategy performance. Execution Errors : Automated trading systems may misinterpret gaps, resulting in unintended trades or missed opportunities. By using the Missing Candle Analyzer, traders gain visibility into the integrity of their data, enabling them to make informed decisions and refine their strategies to handle such anomalies. Functionality The script performs the following tasks: Gap Detection : Identifies time gaps between candles that exceed the expected timeframe duration (with a configurable multiplier for tolerance). Statistics Calculation : Tracks total candles, missing candles, missing percentage, and the largest gap duration. Visualization : Displays a table with analysis results and optional markers on the chart to highlight gaps. User Customization : Allows users to adjust font size, table position, and whether to show gap markers. Conclusion The Missing Candle Analyzer is a critical tool for cryptocurrency traders who need to ensure the accuracy and completeness of their price data. By highlighting missing candles and providing actionable insights, it helps traders mitigate risks and build more robust trading strategies. This tool is especially valuable in the volatile and often unpredictable cryptocurrency market, where data integrity can directly impact trading outcomes.
Pine Script® göstergesi
rikyu04 tarafından
Express Generator StrategyExpress Generator Strategy Pine Script™ v6 The Express Generator Strategy is an algorithmic trading system that harnesses confluence from multiple technical indicators to optimize trade entries and dynamic risk management. Developed in Pine Script v6, it is designed to operate within a user-defined backtesting period—ensuring that trades are executed only during chosen historical windows for targeted analysis. How It Works: - Entry Conditions: The strategy relies on a dual confirmation approach:- A moving average crossover system where a fast (default 9-period SMA) crossing above or below a slower (default 21-period SMA) average signals a potential trend reversal. - MACD confirmation; trades are only initiated when the MACD line crosses its signal line in the direction of the moving average signal. - An RSI filter refines these signals by preventing entries when the market might be overextended—ensuring that long entries only occur when the RSI is below an overbought level (default 70) and short entries when above an oversold level (default 30). - Risk Management & Dynamic Position Sizing: The strategy takes a calculated approach to risk by enabling the adjustment of position sizes using:- A pre-defined percentage of equity risk per trade (default 1%, adjustable between 0.5% to 3%). - A stop-loss set in pips (default 100 pips, with customizable ranges), which is then adjusted by market volatility measured through the ATR. - Trailing stops (default 50 pips) to help protect profits as the market moves favorably. This combination of volatility-adjusted risk and equity-based position sizing aims to harmonize trade exposure with prevailing market conditions. - Backtest Period Flexibility: Users can define the start and end dates for backtesting (e.g., January 1, 2020 to December 31, 2025). This ensures that the strategy only opens trades within the intended analysis window. Moreover, if the strategy is still holding a position outside this period, it automatically closes all trades to prevent unwanted exposure. - Visual Insights: For clarity, the strategy plots the fast (blue) and slow (red) moving averages directly on the chart, allowing for visual confirmation of crossovers and trend shifts. By integrating multiple technical indicators with robust risk management and adaptable position sizing, the Express Generator Strategy provides a comprehensive framework for capturing trending moves while prudently managing downside risk. It’s ideally suited for traders looking to combine systematic entries with a disciplined and dynamic risk approach.
Pine Script® stratejisi
bengles tarafından
Fibonacci Levels with MACD ConfirmationHow to Understand and Use the Fibonacci Levels with MACD Confirmation Script This custom Pine Script is designed to give traders a clear visual framework by combining dynamic Fibonacci retracement levels, MACD histogram confirmation, and volatility-based swing zones. It aims to simplify trend analysis, improve entry timing, and adapt to various market conditions. How to Interpret the 23.6% & 61.8% Labels These Fibonacci levels represent key retracement zones where price often reacts during trend pullbacks or reversals. The 23.6% level indicates a shallow retracement, useful in strong trends where price resumes early. The 61.8% level is a deeper retracement, often a "last line of defense" before trend invalidation. The script labels these zones with "CC 23.6" and "CC 61.8" when the price crosses them with MACD histogram confirmation: Green label (CC) = bullish confirmation Red label (CC) = bearish confirmation How to Modify Inputs (Manual Adjustments) Input Purpose Default How to Use ATR Period Measures volatility 14 Increase for smoother, slower reactions; reduce for faster swings Min Lookback Minimum bars for swing zone 20 Avoids short-term noise Max Lookback Cap for swing zone scan 100 Avoids excessively wide retracement levels Inverse Candle Chart Flips high/low logic false Enable for inverted analysis or backtesting "opposite logic" How to Use the Inverse Candle Chart Option Activating inverse mode flips candle logic: Highs become negative lows, and vice versa. Useful for: Contrarian analysis Inverse ETFs or short-biased views Backtesting reverse-pattern behavior How to Adjust the Style You can manually personalize the script’s visual appearance: Change line width in plot(..., linewidth=2) for bolder or thinner Fib levels. Change colors from color.green, color.red, etc., to suit your theme. Modify label.size, label.style, and label.color for different labeling visuals. Customize MACD histogram style from plot.style_columns to other styles like style_histogram. How the MACD is Set and Displayed The MACD uses non-standard values: Fast Length = 24 Slow Length = 52 Signal Smoothing = 18 These values slow down the indicator, reducing noise and aligning better with medium- to long-term trends. MACD histogram is plotted directly on the main chart for faster, on-screen decision making. Color-coded histogram: Green/Lime = Bullish momentum increasing or steady Red/Maroon = Bearish momentum increasing or steady How to Use the Indicator in Real-World Trading This indicator is most effective when used to: ✅ 1. Spot High-Probability Trend Continuation Zones In a strong trend, price will often retrace to 23.6% or 61.8%, then resume. Wait for: Price to cross 23.6 or 61.8 MACD histogram rising (bullish) or falling (bearish) "CC 23.6" or "CC 61.8" label to appear 🟢 Entry Example: Price retraces to Fib 61.8%, crosses up with green MACD histogram → take long position ✅ 2. Validate Reversal or Breakout Zones These Fib levels also act as support/resistance. If price crosses a Fib level but MACD fails to confirm, it may be a fake breakout. Use confirmation labels only when MACD aligns. ✅ 3. Add Volatility Context (ATR) for Risk Management The ATR label shows both value and %. Use ATR to: Set dynamic stop-losses (e.g., 1.5x ATR below entry) Decide trade size based on volatility How to Combine the Indicator With Other Tools You can combine this script with other technical tools for a powerful trading framework: 🔁 With Moving Averages Use 50/200 MA for overall trend direction Take signals only in the direction of MA slope 🔄 With Price Action Patterns Use the Fib/MACD signals at confluence points: Support/resistance zones Breakout retests Candlestick patterns (pin bars, engulfing) 🔺 With Volume or Order Flow Combine with volume spikes or order book signals Confirm that Fib/MACD signals align with strong volume for conviction ✅ Trade Setup Summary Criteria Long Setup Short Setup Price at Fib Level At or crossing Fib 23.6 / 61.8 Same MACD Histogram Rising and above previous bar Falling and below previous bar Label Appears Green "CC 23.6" or "CC 61.8" Red "CC 23.6" or "CC 61.8" Optional Filters Trend direction, ATR range, volume, price pattern Same
Pine Script® göstergesi
TradeMing tarafından
MA Crossover [AlchimistOfCrypto]🌌 MA Crossover Quantum – Illuminating Market Harmonic Patterns 🌌 Category: Trend Analysis Indicators 📈 "The moving average crossover, reinterpreted through quantum field principles, visualizes the underlying resonance structures of price movements. This indicator employs principles from molecular orbital theory where energy states transition through gradient fields, similar to how price momentum shifts between bullish and bearish phases. Our implementation features algorithmically optimized parameters derived from extensive Python-based backtesting, creating a visual representation of market energy flows with dynamic opacity gradients that highlight the catalytic moments where trend transformations occur." 📊 Professional Trading Application The MA Crossover Quantum transcends the traditional moving average crossover with a sophisticated gradient illumination system that highlights the energy transfer between fast and slow moving averages. Scientifically optimized for multiple timeframes and featuring eight distinct visual themes, it enables traders to perceive trend transitions with unprecedented clarity. ⚙️ Indicator Configuration - Timeframe Presets 📏 Python-optimized parameters for specific timeframes: - 1H: EMA 23/395 - Ideal for intraday precision trading - 4H: SMA 41/263 - Balanced for swing trading operations - 1D: SMA 8/44 - Optimized for daily trend identification - 1W: SMA 32/38 - Calibrated for medium-term position trading - 2W: SMA 17/20 - Engineered for long-term investment signals - Custom Settings 🎯 Full parameter customization available for professional traders: - Fast/Slow MA Length: Fine-tune to specific market conditions - MA Type: Select between EMA (exponential) and SMA (simple) calculation methods - Visual Theming 🎨 Eight scientifically designed visual palettes optimized for neural pattern recognition: - Neon (default): High-contrast green/red scheme enhancing trend transition visibility - Cyan-Magenta: Vibrant palette for maximum visual distinction - Yellow-Purple: Complementary colors for enhanced pattern recognition - Specialized themes (Green-Red, Forest Green, Blue Ocean, Orange-Red, Grayscale): Each calibrated for different market environments - Opacity Control 🔍 - Variable transparency system (0-100) allowing seamless integration with price action - Adaptive glow effect that intensifies around crossover points - the "catalytic moments" of trend change 🚀 How to Use 1. Select Timeframe ⏰: Choose from scientifically optimized presets based on your trading horizon 2. Customize Parameters 🎚️: For advanced users, disable presets to fine-tune MA settings 3. Choose Visual Theme 🌈: Select a color scheme that enhances your personal pattern recognition 4. Adjust Opacity 🔎: Fine-tune visualization intensity to complement your chart analysis 5. Identify Trend Changes ✅: Monitor gradient intensity to spot high-probability transition zones 6. Trade with Precision 🛡️: Use gradient intensity variations to determine position sizing and risk management Developed through rigorous mathematical modeling and extensive backtesting, MA Crossover Quantum transforms the fundamental moving average crossover into a sophisticated visual analysis tool that reveals the molecular structure of market momentum.
Pine Script® göstergesi
AlchimistOfCrypto tarafından
1
TrendSync Pro (SMC)📊 TrendSync Pro (SMC) – Advanced Trend-Following Strategy with HTF Alignment Created by Shubham Singh 🔍 Strategy Overview TrendSync Pro (SMC) is a precision-based smart trend-following strategy inspired by Smart Money Concepts (SMC). It combines: Real-time pivot-based trendline detection Higher Time Frame (HTF) filtering to align trades with dominant trend Risk management via adjustable Stop Loss (SL) and Take Profit (TP) Directional control — trade only bullish, bearish, or both setups Realistic backtesting using commissions and slippage Pre-optimized profiles for scalpers, intraday, swing, and long-term traders 🧠 How It Works: 🔧 Strategy Settings Image: beeimg.com The strategy dynamically identifies trend direction by using swing high/low pivots. When a new pivot forms: It draws a trendline from the last significant pivot Detects whether the trend is up (based on pivot lows) or down (based on pivot highs) Waits for price to break above/below the trendline Confirms with HTF price direction (HTF close > previous HTF close = bullish) Only then it triggers a long or short trade It exits either at TP, SL, or a manual trendline break 🛠️ Adjustable Parameters: Trend Period: Length for pivot detection (affects sensitivity of trendlines) HTF Timeframe: Aligns lower timeframe entries with higher timeframe direction SL% and TP%: Customize your risk-reward profile Commission & Slippage: Make backtests more realistic Trade Direction: Choose to trade: Long only, Short only, or Both 🎛️ Trade Direction Control: In settings, you can choose: Bullish Only: Executes only long entries Bearish Only: Executes only short entries Both: Executes both long and short entries when conditions are met This allows you to align trades with your own market bias or external analysis. 📈 Entry Logic: Long Entry:  • Price crosses above trendline  • HTF is bullish (HTF close > previous close)  • Latest pivot is a low (trend is considered up) Short Entry:  • Price crosses below trendline  • HTF is bearish (HTF close < previous close)  • Latest pivot is a high (trend is considered down) 📉 Exit Logic: Hit Take Profit or Stop Loss Manual trendline invalidation: If price crosses opposite of the trend direction ⏰ Best Timeframes & Recommended Settings: Scalping (1m to 5m):  HTF = 15m | Trend Period = 7  SL = 0.5% | TP = 1% to 2% Intraday (15m to 30m):  HTF = 1H | Trend Period = 10–14  SL = 0.75% | TP = 2% to 3% 6 Hour Trading (30m to 1H):  HTF = 4H | Trend Period = 20  SL = 1% | TP = 4% to 6% Swing Trading (4H to 1D):  HTF = 1D | Trend Period = 35  SL = 2% | TP = 8% to 12% Long-Term Investing (1D+):  HTF = 1W | Trend Period = 50  SL = 3% | TP = 15%+ Note: These are recommended base settings. Adjust based on volatility, asset class, or personal trading style. 📸 Testing Note: beeimg.com TradingView limits test length to 20k bars (~40 trades on smaller timeframes). To show long-term results: Test on higher timeframes (e.g., 1H, 4H, 1D) Share images of backtest result in description Host longer test result screenshots on Imgur or any public drive 📍 Asset Behavior Insight: This strategy works on multiple assets, including BTC, ETH, etc. Performance varies by trend strength: Sometimes BTC performs better than ETH Other times ETH gives better results That’s normal as both assets follow different volatility and trend behavior It’s a trend-following setup. Longer and clearer the trend → better the results. ✅ Best Practices: Avoid ranging markets Use proper SL/TP for each timeframe Use directional filter if you already have a directional bias Always forward test before going live ⚠️ Trading Disclaimer: This script is for educational and backtesting purposes only. Trading involves risk. Always use risk management and never invest more than you can afford to lose.
Pine Script® stratejisi
shubham_singh_1927 tarafından
DOPT--- ## 🔍 **DOPT - Daily Open & Price Time Markers** This script is designed to support directional bias development and price behavior analysis around key time-based reference points on the **1H and 4H timeframes**. ### ✨ **What It Does** - **1800 Open Marker** (6 PM NY time): Plots the **daily open** from 1800 in **black dotted lines**. - **0000 Open Marker** (Midnight NY time): Plots the **midnight open** in **blue dotted lines**. - **Day Letters**: Each 1800 open is labeled with the corresponding **day of the week** (e.g., M, T, W...), helping visually segment your chart. - **Hour Labels**: Select specific candles (e.g., 0000 = '0', 0800 = '8') to be labeled above the bar. These are fully customizable. - **Candle Midpoints**: Option to mark the **50% level** of a specific candle (good for CE or CRT references). - **CRT High/Low Tracking**: Ability to plot **extended high and low lines** from a selected candle back (e.g., for CRT modeling). - **4H Timeframe Candle Numbering**: Helpful when analyzing sequences on the 4-hour timeframe. Candles are numbered `1`, `5`, and `9` for reference. --- ### 🧠 **How I Use It** - I mostly use this on the **1-hour timeframe** to decide **directional bias** for the day: - If price **closes above 1800 open**, I consider that a **green daily close** — potential bullish sentiment. - If price **closes below**, I treat it as a **red daily close** — potential bearish behavior. - Price often uses these opens as **support/resistance**, so I watch for reactions there. - On the **4H**, the candle numbers help track structure and flow. - Combine with CRT tools to mark **key candle highs/lows** and their **equilibrium (50%)** — great for refining entries or understanding how price is respecting a particular candle. --- ### ⚠️ **Note on Daylight Savings** This is a **daylight saving time-dependent script**. When DST kicks in or out, you’ll need to **adjust the time inputs** accordingly to keep the opens accurate (e.g., 1800 might shift to 1700 depending on the season). --- ### 🔁 **Backtesting & Reference** - The **1800 and 0000 opens** are plotted for **as far back** as your chart loads, making it great for backtesting historical reactions. - The CRT marking tools only go back **50 candles max**, so use that for recent structure only. ---
Pine Script® göstergesi
OmegaValorSage tarafından
RSI + Stochastic + WMA StrategyThis script is designed for TradingView and serves as a trading strategy (not just a visual indicator). It's intended for backtesting, strategy optimization, or live trading signal generation using a combination of popular technical indicators. 📊 Indicators Used in the Strategy: Indicator Description RSI (Relative Strength Index) Measures momentum; identifies overbought (>70) or oversold (<30) conditions. Stochastic Oscillator (%K & %D) Detects momentum reversal points via crossovers. Useful for timing entries. WMA (Weighted Moving Average) Identifies the trend direction (used as a trend filter). 📈 Trading Logic / Strategy Rules: 📌 Long Entry Condition (Buy Signal): All 3 conditions must be true: RSI is Oversold → RSI < 30 Stochastic Crossover Upward → %K crosses above %D Price is above WMA → Confirms uptrend direction 👉 Interpretation: Market was oversold, momentum is turning up, and price confirms uptrend — bullish entry. 📌 Short Entry Condition (Sell Signal): All 3 conditions must be true: RSI is Overbought → RSI > 70 Stochastic Crossover Downward → %K crosses below %D Price is below WMA → Confirms downtrend direction 👉 Interpretation: Market is overbought, momentum is turning down, and price confirms downtrend — bearish entry. 🔄 Strategy Execution (Backtesting Logic): The script uses: pinescript Copy Edit strategy.entry("LONG", strategy.long) strategy.entry("SHORT", strategy.short) These are Pine Script functions to place buy and sell orders automatically when the above conditions are met. This allows you to: Backtest the strategy Measure win/loss ratio, drawdown, and profitability Optimize indicator settings using TradingView Strategy Tester 📊 Visual Aids (Charts): Plots WMA Line: Orange line for trend direction Overbought/Oversold Zones: Horizontal lines at 70 (red) and 30 (green) for RSI visualization ⚡ Strategy Type Summary: Category Setting Strategy Type Momentum Reversal + Trend Filter Timeframe Flexible (Works best on 1H, 4H, Daily) Trading Style Swing/Intraday Risk Profile Medium to High (due to momentum triggers) Uses Leverage Possible (adjust risk accordingly)
Pine Script® stratejisi
RevoTheTrader tarafından
Multi-Timeframe MACD Strategy ver 1.0Multi-Timeframe MACD Strategy: Enhanced Trend Trading with Customizable Entry and Trailing Stop This strategy utilizes the Moving Average Convergence Divergence (MACD) indicator across multiple timeframes to identify strong trends, generate precise entry and exit signals, and manage risk with an optional trailing stop loss. By combining the insights of both the current chart's timeframe and a user-defined higher timeframe, this strategy aims to improve trade accuracy, reduce exposure to false signals, and capture larger market moves. Key Features: Dual Timeframe Analysis: Calculates and analyzes the MACD on both the current chart's timeframe and a user-selected higher timeframe (e.g., Daily MACD on a 1-hour chart). This provides a broader market context, helping to confirm trends and filter out short-term noise. Configurable MACD: Fine-tune the MACD calculation with adjustable Fast Length, Slow Length, and Signal Length parameters. Optimize the indicator's sensitivity to match your trading style and the volatility of the asset. Flexible Entry Options: Choose between three distinct entry types: Crossover: Enters trades when the MACD line crosses above (long) or below (short) the Signal line. Zero Cross: Enters trades when the MACD line crosses above (long) or below (short) the zero line. Both: Combines both Crossover and Zero Cross signals, providing more potential entry opportunities. Independent Timeframe Control: Display and trade based on the current timeframe MACD, the higher timeframe MACD, or both. This allows you to focus on the information most relevant to your analysis. Optional Trailing Stop Loss: Implements a configurable trailing stop loss to protect profits and limit potential losses. The trailing stop is adjusted dynamically as the price moves in your favor, based on a user-defined percentage. No Repainting: Employs lookahead=barmerge.lookahead_off in the request.security() function to prevent data leakage and ensure accurate backtesting and real-time signals. Clear Visual Signals (Optional): Includes optional plotting of the MACD and Signal lines for both timeframes, with distinct colors for easy visual identification. These plots are for visual confirmation and are not required for the strategy's logic. Suitable for Various Trading Styles: Adaptable to swing trading, day trading, and trend-following strategies across diverse markets (stocks, forex, cryptocurrencies, etc.). Fully Customizable: All parameters are adjustable, including timeframes, MACD Settings, Entry signal type and trailing stop settings. How it Works: MACD Calculation: The strategy calculates the MACD (using the standard formula) for both the current chart's timeframe and the specified higher timeframe. Trend Identification: The relationship between the MACD line, Signal line, and zero line is used to determine the current trend for each timeframe. Entry Signals: Buy/sell signals are generated based on the selected "Entry Type": Crossover: A long signal is generated when the MACD line crosses above the Signal line, and both timeframes are in agreement (if both are enabled). A short signal is generated when the MACD line crosses below the Signal line, and both timeframes are in agreement. Zero Cross: A long signal is generated when the MACD line crosses above the zero line, and both timeframes agree. A short signal is generated when the MACD line crosses below the zero line and both timeframes agree. Both: Combines Crossover and Zero Cross signals. Trailing Stop Loss (Optional): If enabled, a trailing stop loss is set at a specified percentage below (for long positions) or above (for short positions) the entry price. The stop-loss is automatically adjusted as the price moves favorably. Exit Signals: Without Trailing Stop: Positions are closed when the MACD signals reverse according to the selected "Entry Type" (e.g., a long position is closed when the MACD line crosses below the Signal line if using "Crossover" entries). With Trailing Stop: Positions are closed if the price hits the trailing stop loss. Backtesting and Optimization: The strategy automatically backtests on the chart's historical data, allowing you to assess its performance and optimize parameters for different assets and timeframes. Example Use Cases: Confirming Trend Strength: A trader on a 1-hour chart sees a bullish MACD crossover on the current timeframe. They check the MTF MACD strategy and see that the Daily MACD is also bullish, confirming the strength of the uptrend. Filtering Noise: A trader using a 15-minute chart wants to avoid false signals from short-term volatility. They use the strategy with a 4-hour higher timeframe to filter out noise and only trade in the direction of the dominant trend. Dynamic Risk Management: A trader enters a long position and enables the trailing stop loss. As the price rises, the trailing stop is automatically adjusted upwards, protecting profits. The trade is exited either when the MACD reverses or when the price hits the trailing stop. Disclaimer: The MACD is a lagging indicator and can produce false signals, especially in ranging markets. This strategy is for educational and informational purposes only and should not be considered financial advice. Backtest and optimize the strategy thoroughly, combine it with other technical analysis tools, and always implement sound risk management practices before using it with real capital. Past performance is not indicative of future results. Conduct your own due diligence and consider your risk tolerance before making any trading decisions.
Pine Script® stratejisi
fenyesk tarafından
*Auto Backtest & Optimize EngineFull-featured Engine for Automatic Backtesting and parameter optimization. Allows you to test millions of different combinations of stop-loss and take profit parameters, including on any connected indicators. ⭕️ Key Futures Quickly identify the optimal parameters for your strategy. Automatically generate and test thousands of parameter combinations. A simple Genetic Algorithm for result selection. Saves time on manual testing of multiple parameters. Detailed analysis, sorting, filtering and statistics of results. Detailed control panel with many tooltips. Display of key metrics: Profit, Win Rate, etc.. Comprehensive Strategy Score calculation. In-depth analysis of the performance of different types of stop-losses. Possibility to use to calculate the best Stop-Take parameters for your position. Ability to test your own functions and signals. Customizable visualization of results. Flexible Stop-Loss Settings: • Auto ━ Allows you to test all types of Stop Losses at once(listed below). • S.VOLATY ━ Static stop based on volatility (Fixed, ATR, STDEV). • Trailing ━ Classic trailing stop following the price. • Fast Trail ━ Accelerated trailing stop that reacts faster to price movements. • Volatility ━ Dynamic stop based on volatility indicators. • Chandelier ━ Stop based on price extremes. • Activator ━ Dynamic stop based on SAR. • MA ━ Stop based on moving averages (9 different types). • SAR ━ Parabolic SAR (Stop and Reverse). Advanced Take-Profit Options: • R:R: Risk/Reward ━ sets TP based on SL size. • T.VOLATY ━ Calculation based on volatility indicators (Fixed, ATR, STDEV). Testing Modes: • Stops ━ Cyclical stop-loss testing • Pivot Point Example ━ Example of using pivot points • External Example ━ Built-in example how test functions with different parameters • External Signal ━ Using external signals ⭕️ Usage ━ First Steps: When opening, select any point on the chart. It will not affect anything until you turn on Manual Start mode (more on this below). The chart will immediately show the best results of the default Auto mode. You can switch Part's to try to find even better results in the table. Now you can display any result from the table on the chart by entering its ID in the settings. Repeat steps 3-4 until you determine which type of Stop Loss you like best. Then set it in the settings instead of Auto mode. * Example: I flipped through 14 parts before I liked the first result and entered its ID so I could visually evaluate it on the chart. Then select the stop loss type, choose it in place of Auto mode and repeat steps 3-4 or immediately follow the recommendations of the algorithm. Now the Genetic Algorithm at the bottom right will prompt you to enter the Parameters you need to search for and select even better results. Parameters must be entered All at once before they are updated. Enter recommendations strictly in fields with the same names. Repeat steps 5-6 until there are approximately 10 Part's left or as you like. And after that, easily pour through the remaining Parts and select the best parameters. ━ Example of the finished result. ━ Example of use with Takes You can also test at the same time along with Take Profit. In this example, I simply enabled Risk/Reward mode and immediately specified in the TP field Maximum RR, Minimum RR and Step. So in this example I can test (3-1) / 0.1 = 20 Takes of different sizes. There are additional tips in the settings. ━ * Soon you will start to understand how the system works and things will become much easier. * If something doesn't work, just reset the engine settings and start over again. * Use the tips I have left in the settings and on the Panel. ━ Details: Sort ━ Sorting results by Score, Profit, Trades, etc.. Filter ━ Filtring results by Score, Profit, Trades, etc.. Trade Type ━ Ability to disable Long\Short but only from statistics. BackWin ━ Backtest Window Number of Candle the script can test. Manual Start ━ Enabling it will allow you to call a Stop from a selected point. which you selected when you started the engine. * If you have a real open position then this mode can help to save good Stop\Take for it. 1 - 9 Сheckboxs ━ Allow you to disable any stop from Auto mode. Ex Source - Allow you to test Stops/Takes from connected indicators. Connection guide: //@version=6 indicator("My script") rsi = ta.rsi(close, 14) buy = not na(rsi) and ta.crossover (rsi, 40) // OS = 40 sell = not na(rsi) and ta.crossunder(rsi, 60) // OB = 60 Signal = buy ? +1 : sell ? -1 : 0 plot(Signal, "🔌Connector🔌", display = display.none) * Format the signal for your indicator in a similar style and then select it in Ex Source. ⭕️ How it Works Hypothesis of Uniform Distribution of Rare Elements After Mixing. 'This hypothesis states that if an array of N elements contains K valid elements, then after mixing, these valid elements will be approximately uniformly distributed.' 'This means that in a random sample of k elements, the proportion of valid elements should closely match their proportion in the original array, with some random variation.' 'According to the central limit theorem, repeated sampling will result in an average count of valid elements following a normal distribution.' 'This supports the assumption that the valid elements are evenly spread across the array.' 'To test this hypothesis, we can conduct an experiment:' 'Create an array of 1,000,000 elements.' 'Select 1,000 random elements (1%) for validation.' 'Shuffle the array and divide it into groups of 1,000 elements.' 'If the hypothesis holds, each group should contain, on average, 1~ valid element, with minor variations.' * I'd like to attach more details to My hypothesis but it won't be very relevant here. Since this is a whole separate topic, I will leave the minimum part for understanding the engine. Practical Application To apply this hypothesis, I needed a way to generate and thoroughly mix numerous possible combinations. Within Pine, generating over 100,000 combinations presents significant challenges, and storing millions of combinations requires excessive resources. I developed an efficient mechanism that generates combinations in random order to address these limitations. While conventional methods often produce duplicates or require generating a complete list first, my approach guarantees that the first 10% of possible combinations are both unique and well-distributed. Based on my hypothesis, this sampling is sufficient to determine optimal testing parameters. Most generators and randomizers fail to accommodate both my hypothesis and Pine's constraints. My solution utilizes a simple Linear Congruential Generator (LCG) for pseudo-randomization, enhanced with prime numbers to increase entropy during generation. I pre-generate the entire parameter range and then apply systematic mixing. This approach, combined with a hybrid combinatorial array-filling technique with linear distribution, delivers excellent generation quality. My engine can efficiently generate and verify 300 unique combinations per batch. Based on the above, to determine optimal values, only 10-20 Parts need to be manually scrolled through to find the appropriate value or range, eliminating the need for exhaustive testing of millions of parameter combinations. For the Score statistic I applied all the same, generated a range of Weights, distributed them randomly for each type of statistic to avoid manual distribution. Score ━ based on Trade, Profit, WinRate, Profit Factor, Drawdown, Sharpe & Sortino & Omega & Calmar Ratio. ⭕️ Notes For attentive users, a little tricks :) To save time, switch parts every 3 seconds without waiting for it to load. After 10-20 parts, stop and wait for loading. If the pause is correct, you can switch between the rest of the parts without loading, as they will be cached. This used to work without having to wait for a pause, but now it does slower. This will save a lot of time if you are going to do a deeper backtest. Sometimes you'll get the error “The scripts take too long to execute.” For a quick fix you just need to switch the TF or Ticker back and forth and most likely everything will load. The error appears because of problems on the side of the site because the engine is very heavy. It can also appear if you set too long a period for testing in BackWin or use a heavy indicator for testing. Manual Start - Allow you to Start you Result from any point. Which in turn can help you choose a good stop-stick for your real position. * It took me half a year from idea to current realization. This seems to be one of the few ways to build something automatic in backtest format and in this particular Pine environment. There are already better projects in other languages, and they are created much easier and faster because there are no limitations except for personal PC. If you see solutions to improve this system I would be glad if you share the code. At the moment I am tired and will continue him not soon. Also You can use my previosly big Backtest project with more manual settings(updated soon)
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