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Concordance Allocation Strategy [JOAT]Concordance Allocation Strategy Introduction Concordance Allocation Strategy is an open-source TradingView strategy that integrates regime detection, directional bias, momentum alignment, value-location filtering, and ATR-based risk management into one non-repainting framework. It is designed to trade only when multiple independent layers agree on bar close. The problem this strategy solves is isolated signal bias. A single good-looking signal can fail quickly if it appears in the wrong market regime, against the wrong directional structure, or in the wrong part of value. Concordance requires those layers to align before it enters a trade, then manages risk with fixed ATR targets and adaptive exits. Core Concepts 1. Regime filter The strategy uses a probability-based trend-versus-range classifier. Trades are only considered when the directional regime is confirmed on a closed bar. 2. Directional bias engine An ATR-based bias band adapts to noisy conditions and recovery stress so long and short bias are not driven by a simple moving average cross. 3. Momentum confirmation A centered adaptive stochastic spread must align with the directional side. This prevents entries based on trend context alone. 4. Value-location filter The strategy requires price to be properly aligned with percentile-derived value rails before entries are allowed. This helps avoid chasing direction in poor location. 5. Structured risk management Every position uses: ATR stop loss ATR take profit Adaptive trailing behavior once price extends far enough Context exits when regime or momentum deteriorates Features Multi-layer entry filter: Regime, bias, momentum, and value must agree Bar-close confirmation: Entries are evaluated using confirmed-bar logic ATR stop loss and take profit: Risk is defined from volatility, not fixed ticks Adaptive exit behavior: Bias band can tighten once the move extends No higher-timeframe dependency: Uses current-timeframe calculations only Institutional dashboard: Shows exposure state, regime, momentum, bias band, and value rails Non-repainting framework: No future references and no lookahead logic Input Parameters Regime Layer: Return Lookback Volatility Lookback Efficiency Length Regime Learning Trend Gate Directional Bias: ATR Length ATR Base Multiplier Avoidance Expansion Recovery Pull Noise Threshold ATR Momentum Layer: Stochastic Length Stochastic Smoothing Price Presmoothing Adaptive Attenuation Momentum Spread Gate Value Layer: Value Lookback Lower Rail Percentile Upper Rail Percentile Rail Smoothing Risk Layer: Stop ATR Take Profit ATR Trail Activation ATR Trail Buffer ATR How to Use This Strategy Step 1: Read the regime The strategy only acts when the directional regime is confirmed. If the regime is rotational, it stands down. Step 2: Confirm directional bias The ATR bias band must agree with the side of the trade. This avoids taking long momentum setups under bearish structure or the reverse. Step 3: Check momentum and value together Momentum must align with the side and price must be operating in the correct value location. Both filters are required. Step 4: Review risk settings before use Stop and target multiples should be adjusted to the market and timeframe being tested. The defaults are intended to be realistic rather than aggressively optimized. Strategy Limitations No strategy can eliminate false regime transitions or rapid reversals Percentile value rails adapt to the sample window and may lag sudden structural changes The strategy is designed for realism and context alignment, not maximum trade frequency Originality Statement Concordance Allocation Strategy is original in how it requires regime confirmation, directional bias, momentum agreement, and value-location agreement before allowing entries. It is published because: The strategy avoids isolated indicator triggers and instead uses a layered confirmation model Its risk logic combines fixed ATR objectives with adaptive context exits The design is intentionally current-timeframe, bar-close confirmed, and non-repainting Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice, and backtest results do not guarantee future performance. Trading involves risk of loss, and any strategy can underperform or fail in changing market conditions. Always evaluate settings carefully and use proper risk management.
Pine Script®策略
由officialjackofalltrades提供
Concord Execution Mandate [JOAT]Concord Execution Mandate Introduction Concord Execution Mandate is an open-source strategy that combines regime classification, higher-timeframe bias, structure breaks, daily pivot context, reversion-basis reclaim logic, and divergence safety into one execution framework. It is designed to test whether directional entries improve when multiple context layers are aligned rather than relying on a single trigger. The problem this strategy solves is unstructured execution. Many strategies either enter too often without context or wait for perfect alignment so long that they never engage. Concord Execution Mandate uses a softer confluence model that can still trade frequently while preserving directional context, confirmed-bar logic, realistic costs, and explicit risk controls. Core Concepts 1. Regime And Context Layer The strategy starts with an adaptive range-state engine supported by ADX, choppiness, and higher-timeframe EMA bias. These inputs do not all act as hard blockers; instead, they contribute to whether the environment is favorable enough for execution. 2. Structural And Rotation Triggers Entries can come from confirmed bullish or bearish BOS behavior, continuation crosses back through the regime filter, or more aggressive rotation entries through the daily pivot, reversion basis, or short EMA. 3. Soft Alignment Model Daily pivot bias, EMA weave bias, geometry bias, and regime location are combined into a directional alignment score. The strategy requires enough agreement to avoid fully random entries, but it does not require every filter to align perfectly before acting. 4. Risk Management Stops are based on the closer of pivot structure or ATR distance. Targets are expressed as a reward multiple of live risk, and a trailing stop can activate only after price reaches a configurable multiple of initial risk. Context-flip exits can close trades early when directional state changes materially. Features Adaptive regime filter: Core state engine for directional context Higher-timeframe bias: Optional EMA-based external direction filter Structure triggers: Confirmed BOS logic using stored pivots Continuation and rotation entries: Additional execution paths beyond BOS Daily pivot and EMA weave context: Location-versus-bias inputs for alignment scoring Reversion reclaim logic: Optional re-entry through a mean basis before entry Divergence safety filter: Optional block on fresh opposing divergence ATR and structure-based stops: Dynamic risk anchoring Reward targets and ATR trailing: Structured exit management Context-flip exits: Early closure when regime or bias reverses Realistic defaults: Percent-of-equity sizing, commission, and slippage are defined in the strategy properties Default Strategy Properties Initial capital: 100000 Default order size: 5 percent of equity Commission: 0.02 percent Slippage: 2 ticks Order processing: on bar close Pyramiding: 0 How to Use This Strategy Step 1: Read the dashboard to confirm the current regime, structural state, and whether the entry stack is armed. Step 2: Use the strategy on instruments and timeframes where directional movement and retracement behavior are both visible enough to generate a meaningful sample. Step 3: Review whether aggressive rotation entries or stricter reclaim filters better match the market being tested. Step 4: Keep the published chart clean and use the same Properties values shown in the strategy description when presenting results. Step 5: Evaluate the strategy using a broad sample of trades rather than isolated trades or one short backtest segment. Strategy Limitations This strategy still relies on lagging structure confirmation and can miss the first portion of fast reversals More aggressive settings can increase trade count at the cost of lower selectivity Higher-timeframe bias can conflict with local execution context during turning points Backtest results depend on symbol, timeframe, session behavior, and execution assumptions This strategy is designed to be realistic, not optimized for one narrow market condition Originality Statement Concord Execution Mandate is original in how it integrates adaptive regime logic, structural breaks, rotation entries, soft alignment scoring, reclaim filtering, divergence safety, and layered exit management into one execution framework. The combination is intentional because the strategy is designed to test whether context-aware execution can remain active without devolving into random signal generation. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice and does not guarantee future performance. Backtests are based on historical data, configured assumptions, and simulated order handling. Always validate behavior independently and use appropriate risk management. -Made with passion by jackofalltrades
Pine Script®策略
由officialjackofalltrades提供
Pulse Entry Engine🚀 Pulse Entry Engine Pulse Entry Engine is a free momentum-based entry visualization and decision-support indicator designed to help traders analyze potential entry conditions with a cleaner, more structured, and more visual workflow. This script combines a Special K-based momentum engine, signal modes, confirmation logic, EMA context, higher-timeframe bias filtering, modern oscillator visualization, signal strength scoring, star-based quality labels, TP/SL projection boxes, active-trade candle coloring, signal-candle background highlighting, compact dashboards, visual themes, and dynamic alerts into one organized TradingView tool. The goal of Pulse Entry Engine is not to predict the future or provide guaranteed buy/sell instructions. Its purpose is to help users visually study: ⚡ momentum expansion 🎯 entry-quality conditions 🧭 directional context 📊 signal strength 📦 projected TP/SL zones 🕯️ active-trade candle behavior 🚨 alert-based monitoring Pulse Entry Engine should be treated as a structured chart-analysis tool, not as financial advice, not as an automated trading system, and not as a guarantee of profitable results. ━━━━━━━━━━━━━━━━━━━━━━ 🔓 PUBLICATION NOTE ━━━━━━━━━━━━━━━━━━━━━━ This script is published as a free educational and visual market-analysis tool. The description is intentionally detailed because many users do not inspect every part of the Pine Script logic line by line. The purpose of this page is to explain: ✅ what the script does ✅ how the components work together ✅ what appears on the chart ✅ how signals are filtered ✅ how TP/SL projection works ✅ what the dashboards mean ✅ what the limitations are ✅ how the indicator should and should not be used Pulse Entry Engine is designed to support structured decision-making. It does not promise profitable results. It does not remove market risk. It does not execute trades. It should not be used as a blind buy/sell system. It is best used as a visual framework for reviewing momentum, signal quality, context, and projected risk/reward. ━━━━━━━━━━━━━━━━━━━━━━ 📌 OVERVIEW ━━━━━━━━━━━━━━━━━━━━━━ At a high level, Pulse Entry Engine does the following: 1. ⚙️ Calculates a Special K-based momentum engine. 2. 📈 Compares the engine value with its signal line. 3. 📏 Measures the distance between the engine and signal line. 4. 🔥 Classifies stretch conditions as Weak, Normal, Strong, or Extreme. 5. 🎯 Generates LONG / SHORT pulse signals when selected conditions align. 6. 🧠 Provides five different Signal Modes. 7. 🕯️ Supports Bar Close and Live Intrabar confirmation. 8. 📈 Includes an EMA-based context filter. 9. 🧭 Includes a Higher Timeframe Bias Filter. 10. ⭐ Calculates a 0–100 signal score. 11. 📊 Displays a Signal Strength Bar. 12. 🌟 Shows star-based quality labels on the main chart. 13. 🟩 Highlights the exact signal candle with a vertical background. 14. 🕯️ Colors candles only while a projected trade is active. 15. 📦 Displays ATR-based TP/SL projection boxes. 16. 🎯 Tracks TP1, TP2, TP3, and SL visually. 17. 🔒 Blocks new signals while an active projection has not reached TP1. 18. 🔁 Allows replacement logic after TP1/TP2 progress. 19. 🌊 Includes a modern oscillator visual engine. 20. 📊 Includes Neon Histogram as the default oscillator view. 21. 🎨 Includes multiple visual themes. 22. 🖥️ Includes Minimal / Pro / Full display profiles. 23. 📋 Includes a compact main dashboard. 24. 📡 Includes a compact live scanning panel. 25. 🚨 Includes standard and dynamic alert messages. This makes the script more than a simple oscillator or a basic signal marker. It is a complete visual entry-analysis framework built around momentum, context, signal quality, and projected trade structure. ━━━━━━━━━━━━━━━━━━━━━━ 🧠 CORE IDEA ━━━━━━━━━━━━━━━━━━━━━━ The core idea behind Pulse Entry Engine is simple: A potential entry should not be judged from one isolated condition. A single oscillator movement, one candle reaction, one stretched reading, or one signal label is usually not enough by itself. Market context matters. For that reason, Pulse Entry Engine combines several layers: ⚡ momentum engine direction 📏 distance and stretch expansion 🧭 zero-line context 📈 EMA context 🕰️ higher-timeframe bias ⭐ score requirement 🎛️ signal mode strictness 🕯️ confirmation timing 📦 TP/SL projection logic The indicator does not attempt to mark every possible move. Instead, it attempts to make momentum-based entry conditions easier to read, compare, and review. The purpose is not to create more signals. The purpose is to make signals more understandable. ━━━━━━━━━━━━━━━━━━━━━━ 🧩 WHY THIS SCRIPT IS NOT A SIMPLE BUY/SELL INDICATOR ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine is not intended to behave like a simple “buy here / sell here” script. It is built as a structured workflow: Pulse Engine → Distance / Stretch Detection → Signal Mode Filtering → Zero / EMA Context → HTF Bias Confirmation → Score Classification → Star-Based Signal Label → TP/SL Projection → Active Trade Visualization → Dashboard Review → Dynamic Alerts Each part has a specific role. ⚙️ The Pulse Engine measures momentum behavior. 📏 The distance logic identifies meaningful separation from the signal line. 🎛️ The signal modes adjust strictness. ⭐ The score system summarizes confluence strength. 🧭 The HTF filter adds broader directional context. 📊 The dashboard summarizes current conditions. 🌊 The oscillator visualizes momentum behavior. 📦 The TP/SL boxes provide a projected risk/reward structure. 🚨 The alert system helps monitor signals without constantly watching the chart. This makes the script a full review environment, not a one-condition signal tool. ━━━━━━━━━━━━━━━━━━━━━━ ⚙️ HOW THE SCRIPT WORKS ━━━━━━━━━━━━━━━━━━━━━━ 1) ⚡ PULSE ENTRY CORE Pulse Entry Engine uses a Special K-based calculation as its internal momentum engine. The engine produces two main values: • the main momentum engine value • the signal line The relationship between these two values forms the foundation of the signal logic. When the engine moves away from the signal line, the script measures the distance between them. That distance is then compared to its own recent average distance. This creates the Distance Ratio. The Distance Ratio helps the script understand whether the current movement is weak, normal, strong, or extreme compared to recent behavior. This is important because a raw distance between two lines may not mean much by itself. A distance becomes more meaningful when it is large compared to the engine’s recent average behavior. ━━━━━━━━━━━━━━━━━━━━━━ 📏 DISTANCE / STRETCH LOGIC ━━━━━━━━━━━━━━━━━━━━━━ The script calculates: 📌 current distance between engine and signal line 📌 average distance over the selected lookback 📌 distance ratio 📌 strong stretch threshold 📌 extreme stretch threshold The stretch state can be: 🟤 Weak 🔵 Normal 🟠 Strong 🟣 Extreme This stretch state appears in the dashboard. The stretch logic is one of the most important parts of the signal engine. A signal generally needs the engine distance to be strong enough according to the selected Signal Mode. This helps reduce reactions to small, random oscillator movements. ━━━━━━━━━━━━━━━━━━━━━━ 🎛️ SIGNAL MODES ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine includes five Signal Modes. These modes are not only visual names. They change internal signal thresholds, score requirements, and filtering behavior. Available modes: 🔥 Aggressive ⚖️ Balanced ⚡ Scalping 🌊 Swing 🛡️ Funded Account 🔥 Aggressive Aggressive mode is the earliest and most sensitive profile. It uses lower stretch requirements and a lower score threshold. This means it can produce more signals and may react faster to developing momentum conditions. Useful for: • testing • manual confirmation • fast scanning • active monitoring • traders who want more potential setups Important note: Because it is more sensitive, it may also produce more noise. ⚖️ Balanced Balanced mode is the default all-around profile. It uses the user-defined Distance Multiplier and Extreme Stretch settings. This mode is designed to provide a stable middle-ground behavior. Useful for: • general chart review • standard intraday analysis • balanced signal frequency • users who want neither too many nor too few signals ⚡ Scalping Scalping mode is designed for lower-timeframe active trading environments. It is faster than Balanced mode but stricter than Aggressive mode. Useful for: • M1 • M3 • M5 • fast intraday scanning • short-term chart review Scalping mode should still be used with context, risk control, and independent analysis. 🌊 Swing Swing mode is more selective. It requires stronger stretch and a higher score threshold. EMA and Zero filters are forced on for stricter directional context. Useful for: • larger market moves • higher timeframe review • slower trading style • fewer but more filtered signals 🛡️ Funded Account Funded Account mode is the strictest profile. It requires the strongest internal confirmation among the available modes. EMA and Zero filters are forced on. Useful for: • fewer signals • stricter filtering • drawdown-conscious review • evaluation-style account discipline • users who prefer cleaner setups Important note: This mode does not guarantee safer trades or profitable outcomes. It only applies stricter internal filtering. ━━━━━━━━━━━━━━━━━━━━━━ 🕯️ SIGNAL CONFIRMATION MODE ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine includes two confirmation modes: ✅ Bar Close ⚡ Live Intrabar ✅ Bar Close Bar Close mode confirms signals only after the candle closes. This is the default mode. It is designed to reduce repaint perception and make signal behavior easier to review historically. This is generally the cleaner option for alerts and structured review. ⚡ Live Intrabar Live Intrabar mode allows signals to appear before the candle closes. This can provide earlier visual feedback. However, because the candle is still forming, the signal may change before the candle closes. This mode is faster but less stable than Bar Close confirmation. ━━━━━━━━━━━━━━━━━━━━━━ 🧭 ZERO FILTER ━━━━━━━━━━━━━━━━━━━━━━ The Zero Filter uses the oscillator’s zero line as an additional context layer. In the default logic: 🟢 LONG setups require the engine oscillator to be below zero. 🔴 SHORT setups require the engine oscillator to be above zero. This creates a reversal-style interpretation. The idea is that long signals may be more meaningful when the engine is stretched below the zero region, while short signals may be more meaningful when the engine is stretched above the zero region. Swing and Funded Account modes force this filter on. ━━━━━━━━━━━━━━━━━━━━━━ 📈 EMA FILTER ━━━━━━━━━━━━━━━━━━━━━━ The EMA filter adds price-location context. In this version, the default EMA logic is reversal-oriented: 🟢 LONG setups are allowed when price is below the EMA. 🔴 SHORT setups are allowed when price is above the EMA. This is not a classic trend-following EMA filter. It is used to help identify stretched conditions relative to a directional reference. Swing and Funded Account modes force this filter on. The dashboard also uses the EMA relationship to display a simple bias state: 🟢 LONG ONLY 🔴 SHORT ONLY ⚪ NEUTRAL This bias should be treated as context, not as an instruction to trade. ━━━━━━━━━━━━━━━━━━━━━━ 🕰️ HTF BIAS FILTER ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine includes a Higher Timeframe Bias Filter. Available HTF modes: ⚪ Off 📈 EMA 100 📉 EMA 200 ⚙️ Engine HTF ⚪ Off No higher-timeframe filter is used. 📈 EMA 100 The script checks whether higher-timeframe price is above or below the HTF EMA 100. Above HTF EMA100 = bullish bias. Below HTF EMA100 = bearish bias. 📉 EMA 200 The script checks whether higher-timeframe price is above or below the HTF EMA 200. This is a slower and broader macro filter compared to EMA 100. ⚙️ Engine HTF The script calculates the engine relationship on the selected higher timeframe. HTF engine above its signal line = bullish bias. HTF engine below its signal line = bearish bias. The HTF filter can help reduce signals that conflict with a broader directional context. The default HTF timeframe is 60 minutes, but users can adjust it. ━━━━━━━━━━━━━━━━━━━━━━ ⭐ SIGNAL SCORE ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine calculates a 0–100 signal score. The score is based on internal confluence components such as: ⚡ engine direction 📏 stretch strength 🧭 zero filter alignment 📈 EMA filter alignment 🔥 distance strength The score appears in the dashboard and is also used internally by the selected Signal Mode. Important note: The score is not a win-rate prediction. A score of 85 does not mean the signal has an 85% chance of winning. It simply means the internal confluence conditions were stronger according to the script’s scoring model. ━━━━━━━━━━━━━━━━━━━━━━ 🌟 STAR-BASED MAIN CHART LABELS ━━━━━━━━━━━━━━━━━━━━━━ On the main chart, Pulse Entry Engine uses star-based quality labels. This keeps the chart cleaner than showing large score numbers directly on every signal label. Star system: ⭐⭐⭐⭐⭐ = 96–100 ⭐⭐⭐⭐ = 92–95 ⭐⭐⭐ = 88–91 ⭐⭐ = 84–87 ⭐ = 80–83 ☆ = below 80 Example labels: ▲ LONG PULSE ⭐⭐⭐⭐ ▼ SHORT PULSE ⭐⭐⭐ The dashboard still keeps the full numerical score for users who want more detail. ━━━━━━━━━━━━━━━━━━━━━━ 📊 SIGNAL STRENGTH BAR ━━━━━━━━━━━━━━━━━━━━━━ The main dashboard includes a Signal Strength Bar. Example: █████ 92 ████░ 84 ███░░ 73 This gives a quick visual representation of the current score. The strength bar is not a performance statistic. It does not represent probability or future outcome. It only visualizes the current internal signal-quality score. ━━━━━━━━━━━━━━━━━━━━━━ 🎨 VISUAL THEME SYSTEM ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine includes three full visual themes: 🟢 Dark Emerald 🔵 Aqua Neon 🟣 Royal Purple 🟢 Dark Emerald A dark professional theme using green, teal, and cyan accents. 🔵 Aqua Neon A brighter cyber-style theme using blue, cyan, and pink tones. 🟣 Royal Purple A premium-looking theme using purple and gold-style accents. The theme affects: 🎨 dashboard colors 📡 live panel colors 🌊 oscillator colors 📊 histogram colors 🏷️ signal labels 📦 TP/SL boxes 🟢 LONG visuals 🔴 SHORT visuals 🕯️ active-trade candle coloring 🟩 signal-candle background 🚨 visual alert feel Color inputs are intentionally not exposed in the Inputs tab. The indicator uses internal theme profiles to keep the settings cleaner and more organized. ━━━━━━━━━━━━━━━━━━━━━━ 🖥️ DISPLAY MODE ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine includes three display profiles: ▫️ Minimal ▪️ Pro 🔳 Full ▫️ Minimal Minimal mode reduces chart clutter. It hides many optional visual layers such as dashboards, oscillator dots, gradient zones, pulse backgrounds, and TP level lines. Useful for clean chart viewing. ▪️ Pro Pro mode is the balanced default layout. It uses the user’s individual visibility settings and is designed as the standard V1.0 experience. 🔳 Full Full mode forces major visual layers on. Useful for: 🎥 YouTube live streams 📸 screenshots 📚 educational examples 🧪 demonstrations 📊 full feature previews ━━━━━━━━━━━━━━━━━━━━━━ 🌊 OSCILLATOR VISUAL ENGINE ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine includes multiple oscillator display styles. Available oscillator styles: 📊 Neon Histogram 🌊 Modern Pulse Wave ➖ Clean Line Pro 🕯️ Classic HA 🕯️ Classic Candles Neon Histogram is the default mode in this version. 📊 Neon Histogram This mode displays the difference between the engine core and signal line as a histogram. The histogram helps users quickly read momentum expansion and contraction. Positive and negative histogram areas are colored according to the selected theme. 🌊 Modern Pulse Wave This mode displays a smooth pulse wave with soft glow layers and a momentum cloud. It is designed to look clean, modern, and premium. ➖ Clean Line Pro This mode provides a simpler line-based oscillator view with less visual noise. 🕯️ Classic HA This mode keeps the previous Heikin Ashi-style synthetic oscillator candle view. 🕯️ Classic Candles This mode keeps the previous raw synthetic oscillator candle view. These modes allow users to choose between a modern histogram, a glowing wave, a minimal line, and legacy oscillator candle styles. ━━━━━━━━━━━━━━━━━━━━━━ 🌈 OSCILLATOR SIGNAL DOTS ━━━━━━━━━━━━━━━━━━━━━━ The oscillator panel can show LONG and SHORT signal dots. In modern modes, the dots can include a glow effect: ✨ larger soft outer dot ● smaller sharp inner dot This makes signal locations easier to identify in the oscillator panel without large text labels. These oscillator dots are visual markers only. They are based on the same signal logic as the main chart labels. ━━━━━━━━━━━━━━━━━━━━━━ ⚡ EXTREME STRETCH MARKERS ━━━━━━━━━━━━━━━━━━━━━━ The script can display extreme stretch markers when the engine reaches an extreme distance condition. These markers highlight stretched momentum conditions. They are not direct trade signals by themselves. Their purpose is to show that the engine has moved far away from its recent average relationship with the signal line. ━━━━━━━━━━━━━━━━━━━━━━ 📦 TP / SL PROJECTION SYSTEM ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine includes a TP/SL projection system on the main price chart. When a new signal appears, the script can draw: 📦 TP box 📦 SL box 🎯 TP1 line 🎯 TP2 line 🎯 TP3 line 🏷️ result label The system uses ATR-based risk. Default risk settings: 📌 SL ATR Multiplier = 2.5 📌 Final TP Risk Reward = 1.5R TP structure: TP1 = 25% of final TP distance TP2 = 50% of final TP distance TP3 = final TP The boxes are projected forward by an initial number of bars. Default: 📌 Initial TP/SL Box Length = 10 bars If the projected trade remains active longer than the initial length, the box continues extending until TP3, SL, or a valid replacement condition occurs. ━━━━━━━━━━━━━━━━━━━━━━ 🎯 TP1 / TP2 / TP3 / SL RESULT LOGIC ━━━━━━━━━━━━━━━━━━━━━━ The TP/SL projection system tracks the projected result visually. Possible result labels: 🟢 TP1 🟢 TP2 🟢 TP3 🔴 SL If price reaches TP3, the result is marked as TP3. If price hits SL before reaching any TP level, the result is marked as SL. If price reaches TP1 and later returns to SL, the result is marked as TP1. If price reaches TP2 and later returns to SL, the result is marked as TP2. This means the system remembers the highest target reached before a stop event. This makes the visual projection more informative than a simple static TP/SL marker. ━━━━━━━━━━━━━━━━━━━━━━ ⚠️ SAME-BAR TP/SL HANDLING ━━━━━━━━━━━━━━━━━━━━━━ If TP and SL are both touched on the same candle, there is ambiguity. The script cannot know the true intrabar sequence unless lower-timeframe reconstruction is used. For this reason, the script includes a same-bar setting: If TP and SL Hit Same Bar: 🔴 SL 🟢 TP1 SL is the conservative default. This allows users to decide how they want same-candle ambiguity to be handled in the visual projection. ━━━━━━━━━━━━━━━━━━━━━━ 🔁 ACTIVE TRADE SIGNAL GATE ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine includes an active projection gate. If a projected trade is active and has not yet reached TP1, the script blocks new signals. This prevents the chart from stacking multiple new signals before the previous projection has made minimum progress. If an active projection has already reached TP1 or TP2 and a new signal appears, the old projection can be closed at its highest reached TP level and the new signal can begin. This keeps the visual trade structure cleaner and more organized. ━━━━━━━━━━━━━━━━━━━━━━ 🕯️ ACTIVE TRADE CANDLE COLORING ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine can color candles while a projected trade is active. This candle coloring appears only during an active projection. 🟢 During an active LONG projection, candles use the theme long color. 🔴 During an active SHORT projection, candles use the theme short color. Once the projection closes, candle coloring stops. This helps users visually identify when the system considers a projected trade to be active. It is not a separate trading signal. ━━━━━━━━━━━━━━━━━━━━━━ 🟩 SIGNAL CANDLE BACKGROUND ━━━━━━━━━━━━━━━━━━━━━━ The script can highlight the exact candle that produced a confirmed signal. 🟢 LONG signal = vertical long-colored background stripe 🔴 SHORT signal = vertical short-colored background stripe This feature is useful for: 📌 historical review 📌 live chart monitoring 📌 YouTube live streams 📌 educational explanations 📌 quickly locating the original signal candle ━━━━━━━━━━━━━━━━━━━━━━ 📋 MAIN DASHBOARD ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine includes a compact main dashboard. The dashboard can display: 🎛️ Signal Mode 🎨 Theme 🧭 Bias 🔥 Stretch state ⭐ Score 📊 Strength 🎯 Signal state 🕯️ Confirmation mode 🕰️ HTF Bias The dashboard is intentionally compact. It is not designed to be a large performance table. Its purpose is to summarize the current engine state and help users understand what the script is currently reading. Dashboard position and size can be adjusted from the settings. ━━━━━━━━━━━━━━━━━━━━━━ 📡 LIVE SCANNING PANEL ━━━━━━━━━━━━━━━━━━━━━━ The script includes a compact Live Scanning panel. The live panel displays the Pulse Entry Engine live scanning state in a clean visual format. The lower information row was intentionally removed to keep the chart cleaner. Users can adjust: 📍 Live Panel Position 🔠 Live Panel Size ● Live blinking status symbol The live panel is visual only. It does not affect signal logic. ━━━━━━━━━━━━━━━━━━━━━━ 🚨 ALERT SYSTEM ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine includes both standard alert conditions and dynamic alert messages. Standard alertcondition alerts include: 🟢 LONG signal 🔴 SHORT signal ⚡ LONG/SHORT signal 🔥 Extreme stretch detected The script also includes dynamic alert messages using alert(). The dynamic alert message can include: 📌 indicator name and version 📌 signal direction 📌 ticker 📌 timeframe 📌 Signal Mode 📌 Confirmation Mode 📌 HTF Bias 📌 Score 📌 Stretch 📌 ATR risk setting 📌 TP RR setting Important usage note: To use the full dynamic alert message, create a TradingView alert with: Condition: Pulse Entry Engine Option: Any alert() function call The standard alertcondition options can still be used as simpler fallback alerts. ━━━━━━━━━━━━━━━━━━━━━━ 🧪 HOW TO USE THE INDICATOR ━━━━━━━━━━━━━━━━━━━━━━ A practical workflow: 1. Add Pulse Entry Engine to your chart. 2. Start with the default Pro display mode. 3. Choose a visual theme that fits your chart. 4. Select your Signal Mode. 5. Use Bar Close confirmation for cleaner signal review. 6. Choose whether to enable the HTF Bias Filter. 7. Watch the oscillator histogram for momentum expansion. 8. Review the dashboard for score, stretch, signal state, and HTF bias. 9. When a LONG or SHORT pulse appears, check the star rating. 10. Look at the signal candle background highlight. 11. Review the TP/SL projection box. 12. Observe whether the projection reaches TP1, TP2, TP3, or SL. 13. Use alerts if you want automated signal notifications. 14. Validate the indicator on the specific markets and timeframes you personally study. The indicator is best used as a structured decision-support tool. It should not be used as a blind execution system. ━━━━━━━━━━━━━━━━━━━━━━ ⚙️ SETTINGS REFERENCE ━━━━━━━━━━━━━━━━━━━━━━ 🎯 Signal Logic Source Selects the price source used by the Pulse Entry Engine core. Signal Length 1 Primary engine calculation length. Signal Length 2 Secondary engine calculation length. Signal Mode Selects the main signal preset: 🔥 Aggressive ⚖️ Balanced ⚡ Scalping 🌊 Swing 🛡️ Funded Account Signal Confirmation Mode Controls when a signal is allowed to confirm: ✅ Bar Close ⚡ Live Intrabar Average Distance Length Lookback length used to calculate average distance between engine and signal line. Distance Multiplier Balanced mode stretch threshold. Extreme Stretch Multiplier Balanced mode extreme stretch threshold. Reset When Distance Gets Weak Allows the internal signal state to reset when distance becomes weak. Reset Multiplier Defines how weak the distance must become before reset. Use Zero Filter Enables zero-line filtering. 📈 EMA Filter Use EMA Filter Enables the EMA context filter. EMA Length EMA length used for the filter and dashboard bias. 🧭 HTF Bias Filter HTF Bias Mode Available modes: ⚪ Off 📈 EMA 100 📉 EMA 200 ⚙️ Engine HTF HTF Timeframe Higher timeframe used by the HTF filter. 🎨 Style Visual Theme Available themes: 🟢 Dark Emerald 🔵 Aqua Neon 🟣 Royal Purple Display Mode Available profiles: ▫️ Minimal ▪️ Pro 🔳 Full Oscillator Visual Mode Available styles: 📊 Neon Histogram 🌊 Modern Pulse Wave ➖ Clean Line Pro 🕯️ Classic HA 🕯️ Classic Candles Show Signal Line Shows or hides the engine signal line. Show Momentum Cloud Shows the oscillator momentum cloud. Show Zero Zone Shows the oscillator zero zone. Zero Zone Width Controls the width of the zero zone. Show Gradient Background Zones Shows subtle oscillator background zones. Show Extreme Stretch Markers Shows extreme stretch pulse markers. Show Oscillator Pulse Glow Adds glow layers to modern oscillator visuals. Show Neon Histogram Controls histogram visibility when Neon Histogram mode is selected. Show Oscillator Signal Dots Shows LONG/SHORT dots in the oscillator panel. Show Main Chart LONG / SHORT Labels Shows signal labels on the main chart. Main Chart Label Offset ATR Controls how far signal labels are placed from price. Show Main Chart Dashboard Shows or hides the main dashboard. Dashboard Position Controls dashboard location. Dashboard Size Controls dashboard text size. Show Main Chart Live Dashboard Shows or hides the live scanning panel. Live Panel Position Controls live panel location. Live Panel Size Controls live panel text size. Show Signal Pulse Background Shows a soft background pulse when a signal appears. Show Signal Candle Background Highlights the exact signal candle with a vertical background. Signal Candle Background Transparency Controls the transparency of the signal candle highlight. Color Candles During Active Trade Colors price candles only while a projected trade is active. Active Trade Candle Transparency Controls active-trade candle coloring transparency. Use Live Blinking Status Symbol Enables the blinking live scanning dot. Live Symbol Blink Seconds Controls blink speed. 📦 TP / SL Box System Show TP / SL Boxes on Main Chart Enables TP/SL projection boxes. SL ATR Length ATR length used for stop-loss calculation. SL ATR Multiplier ATR multiplier used for SL distance. Final TP Risk Reward Final TP target multiple: 1R 1.5R 2R 3R 4R 5R Max Stored TP / SL Trades Maximum historical projection objects kept on chart. If TP and SL Hit Same Bar Controls same-bar ambiguity handling. Show TP1 / TP2 / TP3 Lines Shows TP level lines inside the projection box. Initial TP / SL Box Length Initial forward length of projection boxes. Show TP / SL Result Label Shows result labels after projected trade closes. 🛡️ Professional Controls Max Main Signal Labels Limits the number of main-chart signal labels to protect TradingView object limits. Enable Dynamic Alert Messages Enables alert() based dynamic alert messages. Show Version Badge Shows the V1.0 badge in the visual panels. ━━━━━━━━━━━━━━━━━━━━━━ 🧠 WHAT MAKES THIS SCRIPT ORIGINAL ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine uses familiar concepts such as: ⚡ oscillator momentum 📈 signal lines 🧭 EMA context 🕰️ higher-timeframe filtering 📦 ATR-based risk projection 📊 dashboards 🚨 alerts These components are not unique by themselves. The originality of the script lies in how these components are organized into one workflow: Pulse Engine → Stretch Detection → Signal Mode Filtering → Score Classification → HTF Bias Confirmation → Modern Oscillator Visualization → Star-Based Quality Label → TP/SL Projection → Active-Trade Candle Coloring → Compact Dashboard → Dynamic Alerts This structure is intended to give users a more organized way to review momentum-based entries. ━━━━━━━━━━━━━━━━━━━━━━ ⚠️ IMPORTANT PRACTICAL NOTES ━━━━━━━━━━━━━━━━━━━━━━ The script’s behavior depends heavily on settings. Signal frequency and visual output may change based on: 🎛️ selected Signal Mode 🕯️ confirmation mode 📈 EMA filter setting 🧭 HTF bias mode 🌊 oscillator visual mode 🖥️ display profile 📏 ATR multiplier 🎯 TP RR setting 📊 market ⏱️ timeframe 📉 symbol volatility 📚 available historical bars A mode that appears cleaner on one symbol may not behave the same way on another. The TP/SL boxes are visual projections based on the script’s rules. They are not broker orders. They do not account for real execution conditions. ━━━━━━━━━━━━━━━━━━━━━━ ⚠️ LIMITATIONS AND SHORTCOMINGS ━━━━━━━━━━━━━━━━━━━━━━ This script has important limitations: ❌ It does not guarantee profitable trades. ❌ It does not predict future price movement. ❌ It does not replace risk management. ❌ It does not execute trades. ❌ It does not place orders. ❌ It does not include broker slippage. ❌ It does not include commissions. ❌ It does not include spreads. ❌ It uses bar-based chart data. ❌ Same-bar TP/SL order is approximated by a user-selected rule. ❌ Live Intrabar mode may change before candle close. ❌ Higher-timeframe filters can lag. ❌ EMA filters can conflict with certain market structures. ❌ Momentum signals can fail in choppy markets. ❌ Strong scores do not guarantee successful outcomes. ❌ TP/SL projections are visual analysis tools, not trade instructions. ❌ Historical visual behavior does not ensure future behavior. For these reasons, Pulse Entry Engine should be used as an educational decision-support tool, not as a standalone trading strategy. ━━━━━━━━━━━━━━━━━━━━━━ 👤 WHO THIS SCRIPT MAY BE USEFUL FOR ━━━━━━━━━━━━━━━━━━━━━━ This script may be useful for traders who: ✅ study momentum-based entries ✅ want a structured entry review tool ✅ want a clean visual dashboard ✅ want higher-timeframe context ✅ want ATR-based TP/SL projection ✅ want signal strength scoring ✅ want modern oscillator visuals ✅ want star-based quality labels ✅ want active-trade candle coloring ✅ want dynamic alerts ✅ prefer organized chart-based analysis ✅ want a free visual trading assistant for review and education It may be less suitable for users who: ❌ want guaranteed buy/sell signals ❌ want a fully automated trading bot ❌ do not want chart visuals ❌ do not use technical analysis ❌ expect one setting to work on every market ❌ want an indicator that replaces their own decision-making ━━━━━━━━━━━━━━━━━━━━━━ 🧭 BEST PRACTICE SUGGESTIONS ━━━━━━━━━━━━━━━━━━━━━━ For cleaner review: ✅ Start with Bar Close confirmation. ✅ Start with Balanced or Funded Account mode. ✅ Use HTF Bias only when you want broader directional filtering. ✅ Use Minimal display mode if the chart feels crowded. ✅ Use Full display mode for screenshots, education, and live demonstrations. ✅ Review signals together with market structure. ✅ Avoid treating every label as an automatic trade. ✅ Test the indicator on the specific symbols and timeframes you actually watch. ✅ Combine the tool with your own analysis and risk rules. ━━━━━━━━━━━━━━━━━━━━━━ 🛡️ DISCLAIMER ━━━━━━━━━━━━━━━━━━━━━━ Pulse Entry Engine is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. No indicator can guarantee future results. Markets are uncertain, conditions change, and historical behavior does not ensure future performance. Every user is responsible for their own analysis, validation, risk management, position sizing, and trading decisions. Use this script as a structured decision-support and visual review framework, not as a promise of profitability.
Pine Script®指标
由trade_w_samet提供
5
Index Futures Position Size Calculator V2A simple, free position size calculator for CME index futures traders. Click Entry, click Stop Loss, pick your asset, get your contract size instantly. Built for fast NY session execution — no spreadsheets, no manual maths, no noise. This is the updated version. The first release was a bare-bones calculator showing contract size only with a fixed SL buffer. This version is a full rebuild — every feature below came from real trading feedback, not theory. ═══════════════════════════════════ ✦ SUPPORTED INSTRUMENTS MNQ · MES · NQ · ES — all CME tick values hardcoded. No manual lookup, no mistakes. ═══════════════════════════════════ ✦ WHAT IS NEW IN THIS VERSION → SL buffer is now a toggle — switch the auto ±1 handle offset on or off anytime from settings. When on, the SL label shows +1H so you always know what was calculated → Panel now shows four live values — asset, contract size, real USD risk after rounding, and full stop distance in points → Direction arrow — ▲ Buy or ▼ Sell auto-detected from your Entry and SL position → Panel size control — choose Small, Medium, Large or XL to fit any screen or preference → Lines now start exactly at your click point and extend right — no more lines appearing from far left → Price labels on both lines — see your exact Entry and adjusted SL price at a glance → Ghost line bug fixed — no more phantom line appearing at the bottom when switching timeframes → Dark TradingView-native panel design — colour-coded values, clean two-column layout, easy to read at a glance during live sessions ═══════════════════════════════════ ✦ FEATURES → One-click Entry and Stop Loss directly on the chart → Optional auto ±1 handle SL buffer — structural protection against wick hunts built in → Asset dropdown — MNQ, MES, NQ, ES with correct tick value loading automatically → Smart rounding — fractional contracts of 0.75 or higher round up, otherwise round down → Green Entry line and Red SL line from your exact click, both extending right → Live panel updates instantly when you move Entry or SL ═══════════════════════════════════ ✦ HOW TO USE Add to chart → click Entry → click Stop Loss → pick asset → set Account Size and Risk %. Read your size from the top-right panel. Three clicks and you are sized. ═══════════════════════════════════ ✦ PROP FIRM CHALLENGE SIZING Two clean methods to work within your max drawdown limit. Method 1 — Loss budget split Divide your max loss by how many consecutive losses you can afford. Enter the result as Account Size with Risk at 100%. Example: $2,000 max loss ÷ 5 losses → Account Size $400 · Risk 100% Method 2 — Direct percentage Enter your full max loss as Account Size and set your per-trade percentage. Example: $2,000 max loss, 20% per trade → Account Size $2,000 · Risk 20% Both give the same result — use whichever feels natural. ═══════════════════════════════════ ✦ A NOTE FROM THE AUTHOR Built together with Claude AI through real iterative development — every single feature in this indicator exists because a real trade needed it. This is 100% free and open source. No Discord, no course, no affiliate links, nothing to buy — ever. You are completely free to copy this, modify it, rename it, improve it and republish it as your own. Seriously — go ahead. If you build something better on top of this, that is exactly the point. Clean tools should be free and open to everyone. If it helps even one trader size their positions properly and protect their capital, it was worth sharing. ═══════════════════════════════════ ✦ DISCLAIMER Educational tool only. I do not take any responsibility when you use this indicator in your trading — always check the calculations before use. Futures trading carries substantial risk of loss. Not financial advice. Built with ❤️ by REDz and Claude
Pine Script®指标
由Green_Room提供
LVN Rejection / Acceptance StrategyThis strategy uses a simplified proxy for low-volume node behavior by combining a rolling mean, volatility bands, and relative volume filtering. It does not use a true volume profile. Instead, it approximates low-participation zones through statistical structure and volume contraction. The goal is to observe how price behaves when interacting with these dynamic low-activity regions. Zone Construction The reference level is calculated using a simple moving average over a configurable length. A dynamic band is then created using ATR: Upper boundary = SMA + ATR × multiplier Lower boundary = SMA − ATR × multiplier This produces a volatility-adjusted range that expands and contracts with market conditions. Volume Filter A relative volume condition is applied: current volume is compared against its rolling average lower-than-average activity is treated as reduced participation This filter is used to reduce signals during high activity spikes. Trade Logic Rejection condition Price briefly trades beyond a band boundary Closes back inside the zone Occurs under reduced volume conditions This behavior is treated as failure to accept value outside the range. Acceptance condition Price closes beyond the band boundary Holds beyond that level on subsequent price action This is treated as acceptance and directional continuation. Risk Model Stop-loss distance is based on ATR multiples Take-profit uses a fixed risk-to-reward ratio Position sizing is fixed percentage of equity per trade Commission and slippage are not included in this model and should be considered when evaluating performance. Testing Notes This system is sensitive to: symbol volatility timeframe selection parameter tuning It should be evaluated over a sufficiently large sample of trades to reduce randomness in interpretation. Results are not intended to represent guaranteed outcomes and will vary across market conditions. Visualization The script plots: central moving average dynamic upper and lower volatility bands These are used to visually track price interaction with the defined zone structure.
Pine Script®策略
由AIScripts提供
Net RR CalculatorNet RR Calculator — Risk/Reward Calculator with Net Commission. A precision risk/reward tool for long and short positions that goes beyond structural RR by calculating your real, net RR after trading fees. How it works: Click three times on the chart — entry, stop loss, and take profit — and the indicator instantly draws your risk/reward zones and displays a full breakdown of the trade. What it calculates: - Structural RR (raw ratio without fees) - Net RR (actual ratio after open & close commissions) - Position size based on your deposit and risk percentage - Commission cost for both winning and losing scenarios - Net profit and risk amount in your chosen currency Key features: - Automatic Long / Short detection based on stop placement - Separate commission inputs for open and close (maker/taker friendly) - Supports USD, EUR, RUB and USDT display - Fully customizable zone colors, width and decimal precision - Clean, non-intrusive overlay with dark-themed labels Who it's for: Traders who want to see the true cost of a trade before entering — accounting for exchange fees that silently erode your RR on every position.
Pine Script®指标
由LippoLin提供
Modelo Entrada Institucional 40/30/30El indicador es una herramienta de gestión de riesgo que implementa una estrategia de "entradas escalonadas" en tres niveles con riesgo matemáticamente controlado. Se activa seleccionando las tres entradas, el stop loss de la zona a ponderar y posteriormente el take profit. Estructura de entradas: Divide el capital en tres tramos que se activan a medida que el precio cae: | Tramo | Capital | Cuándo entrar | | Entrada 1 | 40% | Señal técnica inicial | | Entrada 2 | 30% | Retroceso estructural profundo | | Entrada 3 | 30% | Soporte histórico extremo | Al concentrar el 60% del capital en los dos niveles más bajos, el "precio promedio ponderado cae con fuerza", lo que significa que un rebote mínimo ya te pone en positivo. Gestión del riesgo: - Antes de abrir la primera posición se calcula el "riesgo máximo combinado" de las tres entradas - Se coloca un "Hard Stop inamovible" por debajo del último soporte. - Si ese nivel se rompe → se asume la pérdida matemática y se cierra todo. Cero riesgo de ruina infinita. ¿Qué calcula automáticamente? - Precio promedio ponderado de las tres entradas. - Pérdida máxima real en $ y % si el hard stop se activa. - Ratio R:R real entre el promedio y el Take Profit manual. - Beneficio máximo estimado al llegar al TP. Alertas: Dispara notificaciones cuando el precio alcanza cada zona de entrada, el hard stop o el take profit.
Pine Script®指标
由Jerrik提供
Monte Carlo Risk Geometry Simulator [Aslan]Thanks to @KioseffTrading for the polyline retracing system and the plotting system as a whole🙏 ♦️ What This Script Does This is a Monte Carlo simulator for visualising and calculating the probability of a return based on risk geometry of the model (Risk %, RR, WR). It assesses the probability of returns by generating hundreds or thousands of possible outcomes using your win rate, risk-reward, and position sizing. Each line you see is a different plausible “future,” showing how your account could realistically evolve. 🔶 How To Use It Input your strategy stats, run a large number of simulations, and focus on three things: how wide the equity curves spread, how deep drawdowns get, and the percentage of profitable outcomes. Then adjust your model and repeat. 🔷 Application in Prop Firm evaluations Using the threshold system, you can see what risk geometry is most likely to pass a prop firm evaluation. Suprisingly, the most probable geometry for passing an eval can sometimes have a negative expected value! ♦️ Bottom Line This script helps you move from “how much can I make?” to “how likely am I to profit?” 🔎 Monte Carlo Simulations Explained Monte Carlo simulations are a method of modeling uncertainty by running many random versions of the same system to see all possible outcomes. In trading, instead of assuming one fixed result, it repeatedly simulates sequences of wins and losses based on your strategy’s statistics (like win rate and risk-reward). This creates a distribution of potential equity curves, showing not just what did happen, but could happen. It’s essentially a way to test probability and survival under randomness rather than relying on a single backtest. Monte Carlo simulations are widely used on quant trading desks around the world to model uncertainty, test strategy robustness, and estimate the probability distribution of trading outcomes under real-world randomness.
Pine Script®指标
由Zimord提供
Convergence Protocol [JOAT] Convergence Protocol Introduction Convergence Protocol is an open-source strategy that combines four analytical modules — structural trend, volatility regime, delta pressure, and liquidity/structure break detection — into a multi-pathway entry and exit system. The strategy generates trade signals through five independent entry mechanisms, each requiring alignment between different analytical dimensions, and manages positions with ATR-based stops, dual take-profit levels, and an optional trailing stop that activates after the first target is reached. The design rationale for combining these four modules is that each answers a different question about the market. Structure and trend analysis answers: what direction is the market likely to move? Volatility regime answers: does the market have the energy to sustain a directional move? Delta pressure answers: is volume supporting the proposed direction? Liquidity and structure break detection answers: has the market made a meaningful structural commitment that confirms directional intent? No single module alone provides a robust enough basis for a trade. Convergence across multiple modules provides a higher-quality signal set that reduces the frequency of marginal trades while maintaining enough opportunities to be practical. Strategy Properties and Backtesting Settings Default settings used for publication: Initial Capital: Default TradingView account size Position Size: 5% of equity per trade Commission: 0.04% per side (realistic for most crypto and equity platforms) Slippage: 1 tick Risk Per Trade: 5% of equity maximum (within sustainable limits) Stop Loss: 1.5x ATR from entry TP1: 1.2x risk (50% of position closed) TP2: 2.5x risk (remaining position) Trailing Stop: 1.0x ATR trailing offset, activates after TP1 hit Backtesting results will vary significantly by instrument and timeframe. This strategy is intended to be evaluated across multiple instruments and market conditions before drawing conclusions. A single backtest run does not constitute evidence of future performance. Core Modules Module 1: Structural Trend Engine The baseline uses a double-smoothed moving average (SMEMA). Swing highs and lows are tracked to classify market structure as bullish (HH+HL), bearish (LH+LL), or neutral. A 0-7 confluence score is assembled from: regime direction, structural alignment, volatility expansion, absence of squeeze, delta pressure, structure break confirmation, and liquidity sweep confirmation. Each module contributes a binary point to the score. Module 2: Volatility Regime Short-period ATR is compared to long-period ATR. A ratio above 1.05 with a rising oscillator confirms volatility expansion — the market has enough energy for directional moves. A squeeze condition (fast ATR well below slow ATR and its own moving average) signals that the market is coiling; entries are filtered or blocked depending on settings. Module 3: Delta Pressure Bar-by-bar delta (positive on bullish bars, negative on bearish bars) is smoothed into fast and slow EMAs. Their cross and relative position provide a directional bias from the volume perspective. Module 4: Liquidity and Structure A break of structure (BOS) is confirmed when price closes beyond the most recent pivot in any direction on a confirmed bar. Liquidity sweeps are detected when price wicks beyond a prior swing and closes back on the correct side. Both conditions contribute to the confluence score. Entry Mechanisms 1. Confluence Score Entry All four modules must be aligned and score at or above the minimum threshold (default: 2 of 7). This is the primary high-conviction entry. 2. Baseline Pullback Entry In an established trend (regime confirmed), when price returns to within the step band of the baseline with positive delta confirmation, a pullback entry is generated. This produces more frequent entries by adding trend-continuation trades within an established directional move. 3. Squeeze Breakout Entry When a detected squeeze condition resolves (squeeze ends) with trend and delta alignment, a breakout entry fires. This targets the expansion phase immediately following volatility compression. 4. Delta Crossover Entry When the fast delta EMA crosses above the slow delta EMA in the direction of the regime, and the market is not in a squeeze, a momentum entry is generated. 5. Sweep Reversal Entry When a liquidity sweep occurs with confirming delta pressure, a reversal entry is generated in the direction of the sweep reversal. This targets the classic sweep-and-go pattern. Exit Logic TP1: 50% of position closed at 1.2× risk. Locks in partial profit and reduces position size for the remainder of the trade TP2: Remaining 50% targets 2.5× risk with a hard stop at the original stop level Trailing Stop: After TP1 is hit, the strategy optionally converts to a trailing stop with an ATR-based offset, allowing the winning portion of the trade to capture extended moves Regime Exit: If the market regime flips against the position (bullish regime while short, or bearish regime while long), the position is closed at market. This protects against holding trades through structural regime reversals Limitations and Considerations The strategy uses OHLCV-based calculations throughout. It does not have access to tick data, order book information, or real-time execution data that institutional traders use Backtesting results are inherently optimistic due to perfect execution assumed at bar close prices. Real-world execution will differ The five entry mechanisms produce different trade frequencies. Users should evaluate each mechanism independently in backtesting before enabling all simultaneously The regime change exit can produce early exits in choppy markets where the regime briefly flips before resuming the original direction The trailing stop activation after TP1 is a fixed ATR offset from the highest/lowest price reached. It does not adapt to subsequent volatility changes during the trade The strategy is designed for trending markets. In persistent ranging environments, the confluence score-based entries will underperform because the regime module will frequently return a Ranging classification, suppressing primary entries Commission and slippage settings in the strategy Properties should be adjusted to match the actual costs on the instrument and broker being used before drawing any performance conclusions Originality Statement This strategy is original in its specific multi-pathway entry architecture and the unified 0-7 confluence scoring system that synthesizes structural, volatility, delta, and liquidity analysis into a single conviction metric. Each of the five entry pathways serves a distinct market condition: confluence entries target high-alignment setups; pullback entries target trend continuation in established moves; squeeze breakout entries target volatility expansion transitions; delta crossover entries target momentum initiation; sweep reversal entries target institutional accumulation/distribution patterns. No single existing strategy approach covers all five scenarios. The combination is justified because these five market conditions occur at different points in the market cycle, and a strategy limited to one condition type will sit idle during the other four. Disclaimer This strategy is provided for educational and informational purposes only. Past backtest results do not guarantee future performance. No backtesting result should be interpreted as evidence that this strategy will be profitable in live trading. Markets change, and conditions that produced past results may not recur. The strategy does not account for taxes, broker requirements, or psychological factors in live trading. Always use proper risk management and consult with a qualified financial professional before making any investment decisions. The author is not responsible for any losses incurred from using this strategy. -Made with passion by officialjackofalltrades
Pine Script®策略
由officialjackofalltrades提供
Adaptive Regime Momentum [JOAT]Adaptive Regime Momentum Introduction The majority of publicly available trend-following strategies rely on one of two entry mechanisms: a moving average crossover, or a price-versus-MA relationship. These are valid starting points, but they share a common weakness — they fire signals based on a single confirmatory condition that can be triggered by brief, low-conviction price moves. A single bar pushing above a moving average while volume is thin and the MA is barely sloping is not the same market condition as a sustained directional move with volume behind it and a clearly sloping MA. Yet a simple strategy would treat both identically. Adaptive Regime Momentum is a trend-following strategy that requires three independent conditions to align before generating an entry signal. These three layers — MA slope confirmation over multiple consecutive bars, price position relative to the MA, and a volume-based demand filter — must all agree simultaneously. The result is a strategy that generates fewer signals but with higher internal consistency between entry conditions. It is designed for liquid markets on daily or higher timeframes where each component is reliably measurable. This is an overlay strategy — all visuals are plotted directly on the price chart. --- Strategy Properties The following default settings are used for all backtests unless modified: Initial capital: $10,000 Position sizing: 5% of equity per trade Commission: 0.05% per side Pyramiding: 0 (only one open position at a time; new signals are ignored while a position is active) Stop loss: 2.5x ATR below the entry price (long), 2.5x ATR above the entry price (short), calculated from strategy.position_avg_price Take profit: 4.0x ATR above the entry price (long), 4.0x ATR below the entry price (short), calculated from strategy.position_avg_price Trail / slope exit: Position is closed early if price crosses to the wrong side of ComboMA ± 1.5x ATR, or if the MA slope reverses direction The stop and take profit are anchored to strategy.position_avg_price — the actual average fill price of the position — rather than the signal bar's close. This ensures that in backtesting, stop and TP distances are measured from where the trade was actually opened, not from a theoretical signal level. These are backtesting defaults only. They do not represent a recommendation for live trading position sizing or risk management. --- Core Concepts Signal 1 — ComboMA Slope Confirmation (Structural Momentum) The ComboMA is a blend of two moving averages: ALMA (Arnaud Legoux Moving Average) — a smooth MA with reduced lag, fitting to recent price without overreacting to single bars ZLMA (Zero-Lag Moving Average) — a lag-compensated MA designed to reduce the delay between price movement and MA response The two are blended into a single ComboMA value. The slope of this composite is then evaluated not just on the current bar, but across the last N consecutive bars (default: 3). A slope is only confirmed as UP if all of the last 3 bars showed a positive slope. A slope is only confirmed as DOWN if all 3 bars showed a negative slope. A single slope fluctuation — even if the most recent bar shows a positive slope — does not trigger confirmation unless all N bars agree. This multi-bar slope confirmation is the primary mechanism that distinguishes this strategy from a simple MA-based entry. A one-bar slope flip that immediately reverses is filtered out. Only a sustained slope direction triggers the first condition. Signal 2 — Price vs. ComboMA (Real-Time Confirmation) The second condition requires that price is currently on the correct side of the ComboMA: For a long: close > ComboMA For a short: close < ComboMA This condition is evaluated at the current bar, providing real-time confirmation that price is aligned with the structural slope direction. The MA slope could be upward from prior bars, but if price has already pulled back below the MA, the second condition vetoes the entry. Both the historical slope and the current price position must agree. Signal 3 — Volume RSI (Demand Pressure Validation) Volume RSI is RSI applied to raw volume over an 8-bar period, then divided by 50. A result above 1.0 (the default threshold) means the Volume RSI is above 50 — indicating that volume activity on recent bars has been relatively elevated compared to the preceding period. For a long entry: Volume RSI / 50 must exceed the threshold For a short entry: same condition applies Volume RSI does not confirm direction — it confirms participation . A move accompanied by above-average volume has more demand/supply backing than a low-volume drift. When volume is below threshold, the third condition is not met and no entry is generated, even if slope and price position align. RSI Filter An additional RSI filter is applied to the close: RSI(14) must be above 50 for long entries RSI(14) must be below 50 for short entries This acts as a momentum gating condition — confirming that short-term momentum is consistent with the trade direction before entry is permitted. Non-Repainting Execution All entry conditions are gated by barstate.isconfirmed . No signal is generated until the current bar has fully closed. This prevents intra-bar signal flickering and ensures that the backtest accurately represents what would have been traded on confirmed bar closes. --- Exit Logic The strategy uses a layered exit system combining fixed risk-defined targets with adaptive trend exits: Fixed exits (via strategy.exit): Stop loss at 2.5x ATR from entry price Take profit at 4.0x ATR from entry price Trail exits (via strategy.close): Price closes beyond ComboMA ± 1.5x ATR on the wrong side The ComboMA slope reverses (multi-bar confirmation fails in the opposite direction) The trail exit allows winning positions to exit earlier if the trend deteriorates before reaching the fixed take profit, while the fixed TP provides a defined maximum target. The stop loss is the unconditional floor regardless of trail conditions. --- ATR Shadow Visual The chart displays two layers of ATR bands around the ComboMA: Inner band: ComboMA ± 1x ATR Outer band: ComboMA ± 2x ATR These bands give a visual read of how extended price is from the MA relative to recent volatility, and where the trail exit threshold sits (1.5x ATR, between the two bands). They are visual aids only and do not affect strategy logic. --- Performance Table A table is displayed on the chart showing current strategy metrics: Net P&L Open P&L (current unrealized) Win Rate Average winning trade Average losing trade Maximum drawdown Total trades Current position direction Current MA slope status --- Features Three-layer entry confirmation: multi-bar MA slope, price vs. MA, and Volume RSI RSI momentum filter as an additional gating condition ALMA + ZLMA blend for the ComboMA, reducing lag without sacrificing smoothness Multi-bar slope confirmation preventing single-bar slope flickers from triggering entries ATR-based stop and take profit anchored to actual fill price via strategy.position_avg_price Trail exit on slope reversal or price-vs-MA breach Non-repainting: all signals confirmed via barstate.isconfirmed Pyramiding disabled — one position at a time ATR shadow bands for visual context around the ComboMA Live performance table with key metrics --- Input Parameters ALMA / ZLMA settings — length, offset, and sigma for each MA component Slope Confirm Bars (default 3) — consecutive bars of slope agreement required for confirmation Volume RSI Length (default 8) — RSI period applied to volume Volume Threshold (default 1.0) — Volume RSI / 50 minimum for the demand filter RSI Length (default 14) — RSI period for the momentum filter ATR Length — period for ATR used in stop, TP, trail, and visual bands Stop Multiplier (default 2.5) — ATR multiplier for the fixed stop loss TP Multiplier (default 4.0) — ATR multiplier for the fixed take profit Trail Multiplier (default 1.5) — ATR multiplier for the trail exit threshold --- How to Use Apply to daily or higher timeframes on liquid instruments. Volume RSI is most meaningful where volume data is consistent and representative of actual market participation. Allow the chart to load sufficient historical bars before evaluating backtest results. The ComboMA slope confirmation requires multiple bars of agreement, and early bars in the dataset may not reflect the strategy's typical behavior. Aim for at least several hundred bars of data for meaningful backtest statistics. Review the performance table while backtesting to understand average win size relative to average loss, drawdown, and total trade count. A strategy with very few trades may show favorable metrics by chance rather than edge — consider whether the trade count is sufficient to draw conclusions. The default 5% equity position size produces moderate equity curve sensitivity. Smaller sizes will reduce drawdown and return proportionally; larger sizes will amplify both. Commission is set to 0.05% per side (0.1% round trip) by default. Adjust this to match your actual trading costs. Higher commission rates — especially relevant for frequent-trading timeframes — will reduce net results. Do not optimize parameters on the same data you use to evaluate performance. Optimization on historical data produces settings tuned to past noise, not future edge. The trail exit on slope reversal means that strongly trending markets where the MA briefly flattens before resuming may see early exits. This is the tradeoff for using slope as an exit condition. --- Limitations Backtest results are calculated on historical data and do not guarantee future performance. Market conditions change, and a strategy that performed well in a particular regime may perform differently as conditions evolve. The Volume RSI filter requires reliable volume data. This strategy is not recommended for synthetic instruments, CFDs where volume represents contracts rather than underlying market activity, or very short intraday timeframes where volume is fragmented and noisy. On such instruments, the third entry condition may be meaningless or misleading. The multi-bar slope confirmation requirement means the strategy will miss fast, sharp trend initiations where the MA slope has not yet had N bars to confirm. This is a deliberate tradeoff — reducing false entries at the cost of some late entries on fast moves. Pyramiding is disabled. The strategy will not add to winning positions. This limits upside during strongly trending markets where additional entries might be beneficial, but it also limits drawdown from compounding positions that subsequently reverse. ATR-based stops and TPs are fixed at entry. They do not adjust after the trade is open (apart from the trail exit). If volatility expands significantly after entry, a 2.5x ATR stop that was appropriate at entry may become relatively tight. The performance table reflects cumulative backtest results as of the current bar. Results will vary across different lookback windows and instruments. Default capital of $10,000 with 5% equity sizing means each trade risks approximately $500 before the stop is hit (assuming stop is the loss floor). This is a backtesting convention — it is not a recommendation for live account sizing. No strategy produces guaranteed results. The three-layer entry system improves internal signal consistency but cannot eliminate the inherent uncertainty of financial markets. --- Originality Statement Standard MA-based trend strategies treat a single bar's price-vs-MA relationship as sufficient for entry. ARM's primary differentiation is the multi-bar slope confirmation requirement : the ComboMA slope must be consistently positive (or negative) across N consecutive bars before the first condition is met. A one-bar slope deviation — common during consolidations and brief retracements — does not trigger entry. Only a sustained slope direction qualifies. The ComboMA itself is a blend of ALMA and ZLMA, combining the smoothness and Gaussian weighting of ALMA with the lag-compensation of ZLMA. Neither is used in isolation because each has a specific weakness: ALMA can lag on sharp moves; ZLMA can be sensitive to noise. The blend leverages the strengths of both while partially offsetting their weaknesses. The three-layer confirmation architecture — slope duration, price position, and demand validation — requires agreement across genuinely different measurement types: structural momentum over time, current price location, and volume activity. These are not three views of the same quantity. The stop and TP placement using strategy.position_avg_price rather than the signal bar close is a practical accuracy measure: in backtesting, it means risk distances are calculated from the price at which the trade was actually filled, not from where the signal was generated, which can differ from the fill price particularly on gap opens. --- Disclaimer This strategy is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any security. Backtested results are hypothetical and do not reflect actual trading. Hypothetical performance results have inherent limitations and do not account for execution slippage, liquidity constraints, or the psychological challenges of live trading. All trading involves risk, including the possible loss of principal. Always conduct your own research and consult a qualified financial professional before making any trading or investment decisions. -Made with passion by officialjackofalltrades
Pine Script®策略
由officialjackofalltrades提供
Index Futures Position Size CalculatorA simple, free position size calculator for CME index futures. Click Entry, click Stop Loss, pick your asset, get your contract size. That's it. ═══════════════════════════════════ ✦ SUPPORTED INSTRUMENTS MNQ • MES • NQ • ES — all CME tick values hardcoded. ═══════════════════════════════════ ✦ FEATURES → One-click Entry & Stop Loss directly on chart → Auto 1-handle SL buffer (protects against wick hunts) → Asset dropdown — no manual tick value entry → Custom rounding (≥0.75 rounds up, else down) → Green Entry / Red SL lines with price labels → Clean black-on-white size panel, top right ═══════════════════════════════════ ✦ HOW TO USE Add to chart → click Entry → click Stop Loss Settings → pick asset, enter Account Size & Risk % Read your size from the top-right panel ═══════════════════════════════════ ✦ TIP If you're trading a funded challenge, here are two clean ways to use this tool with your max loss limit: Method 1 — Loss budget split Decide how many consecutive losses you can take before you're out. Divide your max loss by that number, and use the result as your "Account Size" with Risk % at 100. Example: $2,000 max loss ÷ 5 losses = $400 per trade → Account Size: $400 | Risk %: 100 Method 2 — Direct percentage Enter your full max loss as Account Size and set Risk % to your per-trade percentage. Example: $2,000 max loss, risking 20% per trade → Account Size: $2,000 | Risk %: 20 Both give the same result — pick whichever feels more natural. ═══════════════════════════════════ ✦ A NOTE FROM THE AUTHOR Built with Claude AI for my own daily trading. Sharing it free because clean tools shouldn't be locked behind paywalls. 100% free. 100% open source. No Discord, no course, no affiliate links, nothing to buy. Copy it, modify it, republish your own version — it's yours. ═══════════════════════════════════ ✦ DISCLAIMER Educational tool only. Not financial advice. Futures trading carries substantial risk of loss. Always verify calculations against your broker's parameters before trading. Built with ❤️ by REDz & Claude
Pine Script®指标
由Green_Room提供
Event Study: Forward Returns Analyzer After Price ShockEvent Study – Forward Returns Analyzer identifies historical price shocks on any asset and measures forward performance across four calendar horizons: 1, 3, 6, and 12 months after the event. Define a drop threshold and the indicator automatically detects every qualifying session, logs the date and magnitude of the shock, then tracks the exact price 1, 3, 6, and 12 calendar months later — using timestamp arithmetic rather than bar counts, so results are precise regardless of trading day variations, holidays, or timeframe used. What you get: A paginated event table with every shock dated and color-coded, plus a persistent statistics panel showing Average, Median, Win Rate, Skewness, Max Drawdown, and Sharpe Ratio across all four horizons — always calculated on the full filtered sample, regardless of which page you're viewing. Sample controls: - Start From Year: focus the analysis on a specific regime, ignoring older history - Exclude Month / Year: surgically remove structural outliers from the sample (e.g. April 2020 for crude oil futures NYMEX:CL1! ) Designed for: macro researchers, cross-asset analysts, and systematic traders who want to quantify how an asset historically behaves in the weeks and months following a sharp sell-off. Works on any daily chart. No repainting. No bar-count approximations.
Pine Script®指标
由pcingari提供
TrueMove: Council of 7 Schools [TechnicalZen]A Decision Support System for Risk Management. Imagine seven analysts — each a specialist in a different discipline — studying the same price chart simultaneously. One reads volume flow. Another scores multi-factor confluence. A third measures Wyckoff effort dynamics. A fourth compares wave speed and amplitude. A fifth tracks volume-weighted momentum. A sixth applies adaptive Kalman filtering. A seventh learns patterns from the instrument's own history using machine learning. Each arrives at their own independent conclusion. Then they vote. This is what this indicator does. Seven academically grounded analytical Schools, each examining price action through a fundamentally different lens, casting independent votes on market direction. The result is not a prediction — it is a decision support system designed to help traders manage risk with confidence. The core question it answers: "Is this move real, or is it a trap?" When the council reaches consensus, you trade with conviction. When it doesn't, you wait. The strength of this system is not in any single School — it is in the convergence of independent perspectives. A move confirmed by volume flow, momentum, wave dynamics, and machine learning simultaneously carries fundamentally different weight than a move flagged by one method alone. This is risk management through structured consensus. Not a black box. Not a single signal line. A council of seven independent minds, each with a transparent methodology, each with a tracked hit rate, each accountable for its calls. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The System The indicator operates on three layers: Signal Layer — Seven independent Schools analyze price action using different methodologies. Each votes Bull or Bear when its conditions are met. Council Layer — Votes are aggregated. In "2+ Agree" mode, a signal fires only when two or more Schools vote in the same direction within a 3-bar window. In "All Signals" mode, any School's vote fires a signal. Visual Layer — POC lines (anchored VWAP), EVWAP (exponentially weighted VWAP), risk/reward boxes, and direction labels present the council's verdict on the price chart. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Council The council aggregates school votes using a configurable consensus mechanism: "2+ Agree" Mode — Requires two or more enabled Schools to vote in the same direction within a 3-bar window. This is the conservative mode. Fewer signals, higher conviction. If only one School is enabled, it automatically drops to requiring just that one vote. "All Signals" Mode — Any enabled School's vote fires a signal. This is the aggressive mode. More signals, lower filtering. Useful for seeing what each School detects independently. Conflict Resolution — If bull and bear votes arrive on the same bar, the direction with more votes wins. If tied, bull wins (consistent tie-breaking). Cooldown — Separate bull and bear cooldowns prevent signal spam in the same direction while allowing quick reversals when the market genuinely flips. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The 7 Schools Each School uses a fundamentally different analytical approach. They are designed to be independent — a signal from one School does not depend on or duplicate another. School 1: OBV Flow What it sees: Volume flow divergence and acceleration Detects when On-Balance Volume diverges from price (hidden buying or selling pressure) and when volume flow is accelerating in a direction supported by market structure. School 2: Confluence What it sees: Multi-factor agreement across independent indicators Triggers when RSI exits oversold (bull) or crosses below the momentum midline (bear) in a trending market. Scores seven independent factors and requires four or more to agree. School 3: Wyckoff What it sees: Effort vs Result on pullbacks, plus trap events Measures whether pullback volume is declining relative to pre-pullback volume (Wyckoff effort), whether the bounce bar shows commitment (result), and detects Spring and Upthrust events — false breakdowns and breakouts that trap weak hands. School 4: Amplitude Strength What it sees: Wave dynamics — speed, time, and volume at swing points Compares consecutive swing waves: is the trend wave faster than the pullback? Is the pullback shorter in time? Is volume declining at successive swing lows (or highs)? Is momentum oversold (or overbought) at the swing point? Scores seven wave-quality factors. School 5: VWMA Delta What it sees: Volume-weighted momentum crossing fair value Computes the difference between short-term and long-term Volume Weighted Moving Averages, smooths it with RMA, and fires when this delta crosses zero. Volume is built into the measurement itself — not added as a secondary filter. School 6: Kalman Filter (LQE) What it sees: Adaptive filtered trend crossover Applies two Kalman filters (Linear Quadratic Estimator) to price at different speeds. The short filter crossing above or below the long filter signals a trend shift. The Kalman filter adapts its responsiveness automatically based on estimation uncertainty. School 7: Naive Bayes (Adaptive) What it sees: Learned patterns in raw price action DNA A machine learning classifier that observes six raw features no other School uses: body trend, wick dominance, price percentile, volatility regime, momentum acceleration, and gap behavior. It builds Gaussian probability profiles from resolved outcomes and votes when its confidence exceeds 65% in either direction. This School learns and adapts to the specific instrument and timeframe over time. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ School Rules — Complete Reference School 1: OBV Flow (5 rules) Price at/near 20-bar low (within 5% of range) — bull trigger OBV well above its 20-bar low (>15% of OBV range) — divergence detection OBV above its SMA(20) — volume flow trend confirmation OBV slope accelerating (current 5-bar slope > previous) — momentum Bull structure (higher lows) confirmed — structural context Bear: symmetric mirror of all conditions School 2: Confluence (9 rules — 2 trigger + 7 scored, need 4/7) Trigger: RSI crosses above 30 (bull) or below 50 (bear) Trigger gate: ADX ≥ 20 + price on correct side of EMA Score: ADX ≥ 25 (strong trend) Score: Bull/bear structure confirmed Score: Price above/below SMA(50) (longer-term trend alignment) Score: MACD line vs signal agreement Score: Price touched EMA in last 2 bars (level test) Score: Volume above average Score: Candle body ratio > 50% School 3: Wyckoff (9 rules — 7 standard + 2 trap events) EMA cross initiates pullback tracking Pullback duration ≥ 3 bars Average pullback volume < pre-pullback average volume (declining effort) OR average body ratio < 0.45 during pullback (narrow bars) Bounce bar body ratio > 50% (strong commitment) Bounce bar volume > pullback average volume (expanding effort) EMA cross back confirms resolution Spring: price breaks below previous swing low, closes back above with volume Upthrust: price breaks above previous swing high, closes back below with volume School 4: Amplitude Strength (7 scored, need 4/7) Bull/bear structure confirmed Trend wave amplitude > 0.8 ATR (bull: up-wave, bear: down-wave separately) Trend wave speed > pullback speed (impulsive move, not grinding) Pullback duration < trend wave duration (quick correction) Current pullback shallower than previous (< 1.2x) Current swing volume < previous swing volume (swing-to-swing comparison) RSI < 40 at swing low (bull) / RSI > 60 at swing high (bear) School 5: VWMA Delta (1 rule) RMA(30) of VWMA(5) minus VWMA(30) crosses zero School 6: Kalman Filter LQE (1 rule) Kalman filter (length 50, R=0.01, Q=0.10) crosses above/below Kalman filter (length 100) School 7: Naive Bayes Adaptive (6 features + confidence threshold) Feature: 3-bar body trend (growing or shrinking candle bodies) Feature: Wick dominance (upper vs lower wick ratio — rejection direction) Feature: Price percentile in 20-bar range (position within recent range) Feature: Volatility regime (ATR vs its SMA — expanding or contracting) Feature: Momentum acceleration (bar-to-bar price change speeding up or slowing) Feature: Gap behavior (open vs previous close, ATR-normalized) Threshold: P(bull) ≥ 65% to vote bull, P(bull) ≤ 35% to vote bear Requires minimum 15 resolved samples before voting ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ How the Schools Differ Schools 1 & 5 are volume-driven — they measure where money is flowing, not where price is moving. Schools 2 & 4 are multi-factor scoring systems — they require multiple conditions to align before voting, reducing false positives. School 3 is event-driven — it detects specific Wyckoff structural events (springs, upthrusts, effort exhaustion) rather than continuous measurements. School 6 is filter-driven — it uses an adaptive mathematical estimator that adjusts its own responsiveness based on estimation uncertainty. School 7 is the only School that learns — it builds its model from the instrument's own history and adapts over time. Every other School uses fixed rules. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Voting System Each School votes independently. Votes are collected within a 3-bar window — Schools do not need to fire on the exact same bar to count as agreeing. This accommodates the fact that different analytical methods detect events at slightly different times. The dashboard shows each School's most recent vote using directional emojis and colors the School name green (bull vote) or red (bear vote) when it participated in the last signal. Schools are sorted by recency — the most recently active School appears at the top of the list. The Hit Rate column shows each School's accuracy when it participated in council signals — how often signals were correct when that School voted. This is not standalone accuracy; it measures performance within the council context. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ POC Lines (Anchored VWAP) Three dashed lines that represent volume-weighted fair value since the last extreme volume event: Center — the anchored VWAP: where volume-weighted price has centered since the last climax event Upper and Lower — standard deviation bands that start at the same point as the center (origin) and branch outward as price disperses The POC re-anchors when a volume extreme is detected (volume z-score exceeds the threshold with a directional candle). All three lines converge to a single origin point at the climax bar, then branch as the new VWAP accumulates data. The line closest to price is highlighted with increased width and brightness. When the council signals a direction and price subsequently moves against it (crossing the POC center in the wrong direction for 3+ bars), the highlighted line changes color — red for a failed bull signal, green for a failed bear signal. This failure detection provides immediate visual feedback that the anticipated move did not materialize. Hull smoothing can be applied to the POC lines for cleaner visual tracking. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ EVWAP (Exponentially Weighted VWAP) A solid line that tracks volume-weighted fair value with exponential decay, re-anchoring at swing direction changes: Uses the same Exponentially Weighted Moving Average formula as the DS-VWAP methodology Re-seeds at swing pivot points detected by the swing period setting Volume spikes are capped at 3x the 20-bar average to prevent single bars from hijacking the calculation Changes color based on swing direction — bull color when the most recent swing high is more recent, bear color when the most recent swing low is more recent Direction change triangles mark where each new segment begins Hull smoothing can be applied for a cleaner line. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ The Cyclic Structure: POC within EVWAP The POC and EVWAP operate on different cycles and anchor to different events: EVWAP re-anchors on swing direction changes (structural pivots in price). It represents the macro fair value — where the broader trend says price should be. POC re-anchors on volume extreme events (climax bars). It represents the micro fair value — where volume clustered after the last burst of aggressive participation. These cycles are not synchronized. A volume climax can happen mid-swing. A swing pivot can happen without a volume extreme. When both re-anchor near the same bar, that is a structurally significant event — both macro and micro fair value are resetting simultaneously. The POC lines oscillate within the EVWAP framework. When the POC center is above the EVWAP line, volume-weighted activity is biased above the structural trend — bullish pressure. When below, bearish pressure. This relationship provides a dynamic reading of whether short-term volume activity agrees with the broader trend direction. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Risk/Reward Boxes When a signal fires, two boxes are drawn: Green box (above entry for bull, below for bear) — the take-profit zone at 2:1 risk-reward ratio Red box (below entry for bull, above for bear) — the stop-loss zone at 0.5 ATR from the signal bar's extreme Boxes extend 15 bars forward Higher vote counts produce slightly more opaque boxes (stronger conviction = more visible) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Hit Rate and Accuracy Tracking The indicator tracks signal accuracy using Maximum Favorable Excursion (MFE): After each signal, the tracker monitors the next 12 bars If price reaches 0.5 ATR in the signal direction at any point during those 12 bars (using the bar's high for bull signals, low for bear signals), the signal is marked correct This is not a close-at-bar-12 check — it measures whether the move occurred , not whether it held The dashboard displays: Per-School Hit Rate — accuracy when that School participated in the council signal Council Accuracy — overall accuracy across all evaluated signals Signals — evaluated count vs total fired (signals during an active evaluation window are not double-counted) Naive Bayes Learning — current status and class distribution of the adaptive learner ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Visual Aesthetics The indicator is designed for visual clarity on dark-themed charts: POC lines — dashed, in a distinct blue tone, with the tracked line highlighted at double width EVWAP line — solid, colored by swing direction (bull/bear), with direction triangles at segment starts Climax circles — small colored dots marking extreme volume events, no glow clutter Signal labels — directional arrows with vote counts (e.g., "↑ Up (3/7)") Dashboard — Schools sorted by recency of last vote, with bull/bear emojis and color-coded names. Schools that voted in the most recent signal appear at the top and light up in the direction color. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Key Settings Council Behavior — "2+ Agree" (consensus) or "All Signals" (any School) Signal Cooldown — Minimum bars between same-direction signals (default 30). Opposite-direction signals are not blocked. School Toggles — Enable or disable each of the 7 Schools independently. POC/EVWAP Smoothing — Raw or Hull smoothed. Hull length configurable. Swing Period — Controls EVWAP re-anchoring sensitivity (default 55). Volume Lookback — Bars analyzed for climax detection and volume statistics. NB Min Samples — Minimum resolved outcomes before the Naive Bayes School starts voting. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Disclaimer This indicator is provided for educational and informational purposes only. It is not financial advice, and it does not constitute a recommendation to buy, sell, or hold any financial instrument. All trading involves risk. Past performance of any signal, voting system, or analytical method does not guarantee future results. The council votes, hit rates, and accuracy statistics displayed represent computational assessments based on the indicator's rules applied to historical data loaded in TradingView. They are not predictions and should not be treated as certainties. The Naive Bayes School learns from the chart data currently loaded. Its learned patterns may not generalize to future market conditions, different instruments, or different timeframes. The hit rates displayed in the dashboard reflect performance on the loaded chart history only and are subject to survivorship bias, lookback bias, and data limitations inherent to backtesting on historical bars. No indicator, algorithm, or model — regardless of how many independent methods it combines — can account for all market variables including liquidity events, news-driven gaps, exchange outages, dark pool activity, or sudden regime changes. Traders should always use independent risk management, position sizing, and their own judgment before entering any trade. By using this indicator, you acknowledge that you are solely responsible for your own trading decisions and that the authors accept no liability for any losses incurred.
Pine Script®指标
由TechnicalZen提供
1
Sovereign Execution [JOAT]Sovereign Execution Introduction Sovereign Execution is an open-source multi-layer trading strategy that synthesizes five independent analytical engines into a unified execution framework. Rather than relying on a single indicator or a simple crossover, this strategy requires alignment across regime classification, momentum displacement, session timing, imbalance confluence, and multi-timeframe bias scoring before any trade is taken. The result is a highly selective system that filters out low-conviction setups and only enters when multiple independent analytical dimensions agree. The strategy uses ATR-based adaptive stop-losses, configurable risk-reward ratio targets, optional trailing stops, and multiple exit conditions including regime flips and opposite displacement detection. It is designed for traders who want a systematic, rules-based approach to execution with full transparency into every decision the system makes. Why This Strategy Exists Most trading strategies suffer from one of two problems: they are either too simple (single-indicator entries that generate excessive noise) or too complex (dozens of conditions that are impossible to understand or debug). Sovereign Execution occupies the middle ground by using exactly five analytical layers, each addressing a different aspect of market conditions: Regime Cipher: Is the market trending or compressing? Only trade in trending regimes. Displacement Lens: Is there institutional momentum right now? Only enter on confirmed displacement. Session Filter: Is the market in an active trading session? Avoid low-liquidity periods. Imbalance Confluence: Is there a Fair Value Gap nearby? Optional confirmation of institutional interest. Confluence Ledger: Do multiple timeframes agree on direction? Only trade when the score exceeds the threshold. Each layer acts as an independent filter. A trade only fires when ALL active filters align simultaneously. This multi-gate approach dramatically reduces false signals compared to single-indicator strategies. Module 1: Regime Cipher — Trend and Volatility Classification The regime engine uses an Outlier-Resistant Moving Average (ORMA) as its foundation. The ORMA applies a square-root transformation to price, calculates a base moving average (configurable: EMA, SMA, RMA, WMA, HMA, DEMA, or TEMA), then applies a volatility-dampening filter using the ratio of full ATR to half-period ATR. This creates a moving average that is responsive to genuine trend changes but resistant to outlier spikes. ATR-based bands are drawn above and below the ORMA. When price closes above the upper band, the regime is classified as Trending Bull. When price closes below the lower band, Trending Bear. The strategy also monitors Bollinger Band width relative to its 50-bar average to detect compression (BB width below 85% of average) and expansion (above 110%). The key rule: the strategy only takes trades when the regime is Trending (not Compressed or Transitional). This single filter eliminates the majority of choppy, range-bound conditions where most strategies bleed money. Module 2: Displacement Lens — Momentum Timing The displacement engine normalizes three momentum oscillators (Bollinger %B, CCI, ROC) to a scale and blends them with a volume-weighted candle body analysis. The composite is smoothed with an EMA and compared against adaptive threshold bands calculated from the signal's own standard deviation. A "strong bull displacement" occurs when the composite exceeds the upper threshold — meaning momentum, volume, and candle structure all confirm bullish institutional activity. Strong bear displacement is the mirror condition. The strategy only enters when displacement confirms the regime direction. Module 3: Session Filter Trading sessions are defined by UTC hour ranges (configurable for Asia, London, and New York). When the session filter is enabled (default), the strategy only takes trades during active sessions. This avoids entries during low-liquidity periods (overnight gaps, holiday hours) where spreads widen and price action is unreliable. The session filter is optional — it can be disabled for instruments that trade 24/7 with consistent liquidity (e.g., major crypto pairs). Module 4: FVG Confluence (Optional) When enabled, the strategy scans the last 10 bars for Fair Value Gaps in the entry direction. A bullish FVG (gap up in price delivery) near the entry confirms institutional buying interest. A bearish FVG confirms selling interest. This filter is optional (default off) because not all valid setups occur near FVGs, but when enabled, it adds an additional layer of institutional confirmation. Module 5: Confluence Score — Multi-Timeframe Bias Gate The strategy calculates a simplified confluence score combining trend alignment, momentum, volatility state, market structure, and volume conviction on the current timeframe, then blends it with a higher timeframe score (default 4H) at a 40/60 weighting (HTF gets more weight). The score is mapped to 0-100. Long entries require the score to exceed the long threshold (default 60). Short entries require the score to be below the short threshold (default 40). This ensures the strategy only trades when multiple analytical dimensions across timeframes agree on direction. Entry Conditions A long entry requires ALL of the following simultaneously: Regime is Trending Bull (price above upper ORMA band, not compressing) Confluence score >= long threshold (default 60) Strong bullish displacement (composite above adaptive threshold) Active session (if session filter enabled) Recent bullish FVG (if FVG filter enabled) Bar is confirmed (barstate.isconfirmed — no intrabar entries) Short entries require the bearish mirror of all conditions. Edge detection ensures each signal fires only once — no repeated entries on the same setup. Risk Management Stop-Loss: ATR-based adaptive stop calculated as ATR(14) multiplied by the stop multiplier (default 1.5). For longs, the stop is placed below the entry price by this distance. For shorts, above. This means the stop automatically adapts to the instrument's current volatility — wider stops in volatile markets, tighter stops in calm markets. Take-Profit: Calculated as the stop distance multiplied by the reward-risk ratio (default 2.0). A 1.5 ATR stop with a 2.0 R:R produces a 3.0 ATR take-profit target. Trailing Stop: When enabled (default), the stop is trailed upward (for longs) or downward (for shorts) using the trail ATR multiplier (default 2.0). The trail only moves in the favorable direction — it never moves against the position. Exit Conditions Beyond the TP/SL levels, the strategy has two additional exit conditions: Regime Flip: If the regime changes from Trending Bull to Trending Bear (or vice versa), or enters Compression, the position is closed immediately. The thesis for the trade no longer holds. Opposite Displacement: If strong displacement fires in the opposite direction of the trade, the position is closed. Institutional momentum has shifted against the position. Default Strategy Properties These are the exact values used in the strategy's Properties dialog: Initial Capital: $100,000 — a realistic account size for the average trader Default Quantity: 5% of equity per trade — conservative position sizing Commission: 0.04% per trade (round-trip 0.08%) — realistic for most exchanges Slippage: 2 ticks per order — accounts for execution delay and spread Pyramiding: 0 — only one position at a time Calc on Every Tick: false — entries only on bar close for realistic execution These settings are intentionally conservative. The commission and slippage values are included to produce realistic backtesting results. Traders should adjust these values to match their specific broker/exchange conditions. Visualization Regime MA: The ORMA line plotted with a glow effect (crisp line + transparent wider line) colored by trend state — teal for bullish, rose for bearish, gray for neutral ATR Bands: Upper and lower bands showing the regime breakout thresholds SL/TP Levels: When a position is active, the stop-loss (red), take-profit (green), and entry price (gray) are plotted as horizontal lines Gradient Candles: Candles colored by the confluence score — transitioning from bearish rose (low score) to bullish teal (high score) Session Background: Subtle amber tint when an active session is in progress 10-Row Dashboard Row 1: Header — "SOVEREIGN EXECUTION" Row 2: Regime — TREND LONG / TREND SHORT / COMPRESSED / TRANSITIONAL Row 3: Displacement — BULL DISP / BEAR DISP / NEUTRAL Row 4: Session — ASIA / LONDON / NEW YORK / OFF-SESSION Row 5: Confluence — Score value + bias classification Row 6: Volatility — EXPANDING / COMPRESSED / NORMAL Row 7: Position — LONG / SHORT / FLAT Row 8: Entry — Entry price when in a trade Row 9: Stop — Current stop-loss level Row 10: Target — Current take-profit level Input Parameters Execution Parameters: Risk Per Trade % (default 1.5) — percentage of equity risked per trade Reward:Risk Ratio (default 2.0) — take-profit as multiple of stop distance ATR Stop Multiplier (default 1.5) — stop distance as ATR multiple Use Trailing Stop (default on), Trail ATR Multiplier (default 2.0) Entry Filters: Confluence Threshold Long (default 60) — minimum score for long entries Confluence Threshold Short (default 40) — maximum score for short entries Require Active Session (default on) Require FVG Confluence (default off) Regime Cipher Parameters: Adaptive MA Length (default 27), ATR Length (default 14), ATR Factor (default 1.05) Base MA type (default EMA, options: RMA/SMA/EMA/WMA/HMA/DEMA/TEMA) Displacement Parameters: BB Length (20), BB Multiplier (2.0), CCI Length (23), ROC Length (50) Displacement Smoothing (default 5) Session Filter (UTC): Asia Start/End (0/8), London Start/End (8/14), NY Start/End (14/21) Strategy Limitations and Compromises Every strategy involves design compromises. Here are the key ones for Sovereign Execution: Selectivity vs Frequency: The multi-gate filter approach produces fewer trades than single-indicator strategies. On some instruments/timeframes, the strategy may go days without a signal. This is by design — it prioritizes quality over quantity — but it means the strategy needs sufficient historical data to produce a meaningful sample size. Regime Lag: The ORMA-based regime classification has inherent lag. It will not catch the exact top or bottom of a trend. The strategy enters after the trend is confirmed, which means it misses the first portion of moves. Session Filter Limitation: The UTC-based session filter works well for forex and indices but may need adjustment for instruments with non-standard trading hours. Crypto traders may want to disable the session filter entirely. Single Timeframe Execution: While the confluence score incorporates HTF data, entries and exits are executed on the chart's timeframe. Very fast timeframes (1m) may produce noisy signals despite the filters. Backtesting Caveats: All backtesting results are historical and do not guarantee future performance. The strategy uses calc_on_every_tick=false and barstate.isconfirmed to produce realistic entries, but real-world execution will always differ from backtesting due to slippage, partial fills, and latency. No Guarantee of Profitability: This strategy is a systematic framework, not a profit guarantee. Market conditions change, and strategies that worked historically may underperform in different regimes. Recommended Usage Use on liquid instruments (major forex pairs, large-cap stocks, major crypto) for most reliable signals Test on the 15m to 4H timeframe range — these provide enough bars for the regime and displacement engines while maintaining meaningful session context Ensure the backtest produces at least 100 trades for statistical significance before drawing conclusions Adjust commission and slippage to match your specific broker/exchange Consider the strategy as one component of a broader trading plan, not a standalone system Originality Statement This strategy is original in its multi-layer filter architecture. While individual components (moving averages, momentum oscillators, session filters) are established concepts, this strategy is justified because: It synthesizes five independent analytical engines (regime classification, displacement measurement, session timing, imbalance confluence, multi-TF scoring) into a unified execution framework where ALL must align for entry The ORMA-based regime engine uses a volatility-dampened, outlier-resistant moving average with ATR bands — not a standard MA crossover The displacement engine normalizes three oscillators and blends them with volume-weighted candle body analysis for institutional-grade momentum confirmation The confluence score combines five analytical dimensions with HTF weighting, producing a quantitative bias gate rather than a subjective assessment Multiple exit conditions (regime flip, opposite displacement, trailing stop, TP/SL) provide layered risk management beyond simple stop-loss The strategy uses realistic default settings (commission, slippage, position sizing) and documents all Properties values for transparent backtesting Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Backtesting results shown are historical and do not guarantee future performance. The results of a single backtest run do not constitute proof that the strategy will be profitable in the future. Market conditions change, and strategies that performed well historically may underperform or lose money in different market environments. The default settings (commission 0.04%, slippage 2 ticks, 5% equity per trade, $100,000 initial capital) are designed to produce realistic results. Users should verify these match their trading conditions and adjust accordingly. Always use proper risk management. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this strategy. -Made with passion by officialjackofalltrades
Pine Script®策略
由officialjackofalltrades提供
SL / TP ProjectorOverview This indicator is a real-time risk-management tool designed to help traders maintain strict discipline. Instead of calculating exit levels manually, this script projects a mathematical "blueprint" of your potential trade directly onto the chart. It calculates Stop Loss (SL) and Take Profit (TP) levels dynamically based on your specific account equity, risk tolerance, and position size. This indicator does not provide buy or sell signals; rather, it acts as projections that follows the current price, showing you exactly where your exit orders should sit to satisfy your risk management rules if you were to enter a trade at the current market price. The Perfect Companion for TradingView Order Presets This script is highly effective when used in tandem with TradingView’s Order Presets . By visualising the risk boundaries first, you can ensure your order presets (set in the Trading Panel) align with the technical structure of the market (e.g., placing a stop behind a swing high/low) before executing. Core Functionality The script automates the complex math required for professional position sizing: Dynamic Risk Calculation: Converts a percentage of your total account balance into a fixed dollar amount at risk. Contract-to-Tick Scaling: Uses instrument-specific point values (e.g., $5 per tick on ES or $10 on GC) to translate your dollar risk into precise price coordinates. Visual Projections: Stop Loss represents the "Invalidation Point" based on your Risk %; Take Profit is calculated using a user-defined Reward-to-Risk (R:R) ratio. How to Use Configuration: Enter your current account balance and the number of Contracts you intend to trade in the settings. Define Risk Parameters: Set your preferred Risk % per trade (e.g. 1%) and your target Reward Ratio (e.g. 2.0 for a 2:1 trade). Toggle Direction: Use the dropdown menu to switch between Long and Short projections. Analyse & Execute: Observe the projections as they move with the price. Use these levels to inform your limit orders or to adjust your TradingView’s Order Presets for a "one-click" bracket entry. Trading Utility Pre-Trade Validation: Quickly see if a 1% risk stop-loss is too tight for the current volatility before entering. Prop Firm Compliance: Ideal for traders who must strictly adhere to maximum daily loss or per-trade risk limits. Cognitive Efficiency: Reduces "mental math" fatigue, allowing you to focus on price action and execution. Disclaimer This script is a calculation tool and does not provide financial advice or trade signals. Trading involves significant risk. Ensure you test your risk settings in a paper trading environment before live execution.
Pine Script®指标
由HammerCandle提供
Quantum Scalper 5MWelcome to the Quantum Scalper 5M, a highly precise, confluence-based reversal indicator designed specifically for lower timeframes. Unlike traditional indicators that generate signals on simple crossovers, this system is built on a strict "Touch & Reject" logic, filtering out market noise and focusing only on high-probability reversal zones. 🔥 Core Philosophy: The Power of Triple Confluence A signal is ONLY generated when price simultaneously interacts with three independent technical components. It must "touch/wick" the extreme levels of all three components and strictly "close" inside them, confirming a valid rejection. Support & Resistance (SR): Dynamic lookback-based structure levels. Bollinger Bands (BB): Volatility-based standard deviation bands. Quantum Trend Flow (QTF): An advanced ATR and Volatility-based dynamic channel. ⚙️ Key Features: Strict "Touch & Reject" Logic: Buy signals appear only when the low of the candle touches the lower BB, lower QTF, and Support, while the close remains above them. Sell signals require the exact opposite at resistance zones. Dynamic Risk/Reward (RR) Boxes: Once a signal is triggered, the indicator automatically draws a real-time Risk/Reward box (Default: 0.5% SL, 1.0% TP). These boxes dynamically extend to the right with every new candle until the Take Profit or Stop Loss is explicitly hit, acting as a visual trade journal on your chart! Multi-Timeframe (MTF) Trend Filter: An optional built-in higher timeframe filter ensures you are only taking scalp trades in the direction of the macro trend. Momentum & Trend Dashboard: A clean, non-intrusive dashboard displays the current MTF Trend status, RSI-based Momentum strength (Strong/Weak Bull or Bear), and the last active signal. Clean Visuals: By default, the complex bands and channels are hidden to keep your chart perfectly clean. You only see what matters: Price action, strict signals, and your dynamic RR boxes. 📊 How to Use: Timeframe: Optimized for 5-minute (5M) and 15-minute (15M) charts. Markets: Highly effective on Crypto, Forex, and Indices with decent volatility. Risk Management: The dynamic RR boxes are visual guides. Always use hard stop losses in your actual exchange terminal. Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always backtest strategies before using real funds.
Pine Script®指标
由sohaibnori提供
5
Smart Reversal EntrySmart Reversal Entry Smart Reversal Entry is an open-source reversal-entry indicator built around one specific analytical idea: after a short, directional three-candle expansion move, the first confirmed candle closing back in the opposite direction can create a structured reversal-entry opportunity when it appears in the correct EMA context. This script is not designed to mark every bullish or bearish candle, and it is not intended to behave like a generic trend-following overlay, a standard candlestick-pattern indicator, or a broad “signal generator” that reacts to every small reversal. Its purpose is to measure short-term directional exhaustion in a standardized way, filter that move through an EMA context, require close-confirmed reversal behavior, and then project a fixed-risk trade structure directly on the chart for analysis and review. The script also includes an internal background optimizer and review tables so users can compare how the same reversal framework behaves under different parameter combinations. These review tools are included to support study and comparison, not to imply future performance. OPEN-SOURCE NOTE This script is published open-source so users can inspect the logic directly, verify what the script is doing, and adapt parts of the workflow for their own research if they wish. Even though the code is open, this description is intentionally detailed because many TradingView users do not read Pine Script. The goal is for a user to understand what the script does, how it works, why its parts belong together, and how it may be used in practice without having to study the code line by line. OVERVIEW At a high level, the script does six things: 1. It measures whether the last three candles produced a directional move large enough to matter in pip terms. 2. It checks whether price is positioned on the correct side of a selected EMA filter. 3. It requires the current candle to close in the opposite direction as confirmation of a possible reversal. 4. It maps a fixed stop-loss and a selectable take-profit multiple directly onto the chart. 5. It tracks projected trade outcomes and summarizes them in a review table and a daily PnL table. 6. It runs a hidden background optimizer over multiple EMA and move-threshold combinations so the user can compare the current settings to an internal parameter sweep. The script is therefore meant to function as a complete reversal-entry and review framework rather than as a single-purpose candle-pattern marker. CORE IDEA Many reversal-style tools identify isolated candles or basic candlestick formations, but they do not standardize the market context around them. This script is built around the idea that a reversal signal becomes more meaningful when three specific things happen together: 1. price has already made a clear short-term directional move, 2. that move is large enough to matter relative to the chosen pip structure, 3. and the next confirmed candle closes back in the opposite direction while price remains on the correct side of an EMA filter. The model is intentionally narrow. It does not try to identify every turning point in the market. It does not try to classify broad market structure. It does not use discretionary support and resistance interpretation. It does not rely on vague candle descriptions such as “looks weak” or “looks exhausted”. Instead, it defines reversal-entry conditions using a fixed sequence: first measure a three-candle directional push, then filter it using EMA context, then require an opposite close-confirmed candle, then project a standardized risk framework, then review the resulting projected outcomes over time. That narrower focus is the main reason this script exists in its current form. WHY THIS SCRIPT IS NOT A SIMPLE MASHUP This script combines multiple components, but they are not included simply to place more features into one publication. Each component has a specific function inside the same analytical workflow: - The EMA filter defines directional context. - The three-candle move measurement defines whether a short-term push is large enough to qualify. - The reversal candle confirmation defines the actual entry trigger. - The pip-based stop-loss and RR framework standardize trade projection. - The summary and daily review tables organize projected outcomes into a readable review structure. - The internal optimizer compares the same reversal logic across multiple hidden EMA and move-threshold combinations. These layers are interdependent. Without the three-candle move measurement, the script would react to many small candles that do not represent meaningful short-term expansion. Without the EMA filter, the script would lose its directional context and become a more generic reversal marker. Without the close-confirmed reversal candle, the script would identify momentum but not the actual reversal-entry moment. Without the risk projection layer, the user would still need to manually draw the entry, stop, and target after every signal. Without the review tables, the user would have less organized feedback when reviewing results under the selected settings. Without the internal optimizer, the user would see only the current configuration and not how the same logic behaves across a broader parameter range. For that reason, the script is intended as a single reversal-entry framework, not as a random collection of unrelated features. WHAT THE SCRIPT DOES The script identifies reversal-entry setups using a strict, rule-based structure. Long setup requirements: - price must be above the selected EMA, - the prior three candles must all be bearish, - the combined bearish move across that sequence must reach the minimum pip threshold, - the current candle must close bullish. Short setup requirements: - price must be below the selected EMA, - the prior three candles must all be bullish, - the combined bullish move across that sequence must reach the minimum pip threshold, - the current candle must close bearish. When a valid signal appears, the script can: - place a BUY or SELL label, - project a fixed stop loss in pips, - project a take-profit level using the selected RR multiple, - draw TP/SL boxes, - draw an entry line, - keep historical projected trades visible for later review, - summarize projected outcomes in a summary table, - summarize recent daily projected behavior in a daily PnL table. The script also evaluates an internal optimizer in the background. That optimizer tests multiple EMA lengths and minimum-move combinations using the same reversal logic and displays the best-performing parameter combination inside the summary table over the shared analysis window. HOW THE SCRIPT WORKS 1) EMA CONTEXT FILTER The script uses a single EMA as a directional filter. For long setups: price must close above the selected EMA. For short setups: price must close below the selected EMA. This does not turn the script into a pure trend-following system. Instead, it acts as a directional context filter so that reversal entries are only considered when price is positioned on the chosen side of the EMA. In practical terms, the EMA filter is used to reduce context-free reversal signals. A bullish candle appearing after a bearish push is not enough by itself. The script still wants price to be trading above the selected EMA for longs, and below it for shorts. 2) THREE-CANDLE DIRECTIONAL MOVE MEASUREMENT The script looks at the three candles immediately before the signal candle. For a long setup: those three candles must all be bearish. For a short setup: those three candles must all be bullish. The script then measures the total directional move across that sequence in pip terms. For long setups, it calculates the bearish move from the open of the first candle in the sequence to the close of the third bearish candle. For short setups, it calculates the bullish move from the open of the first candle in the sequence to the close of the third bullish candle. That move must be at least as large as the user-defined “Minimum 3-Candle Move (Pips)” setting. This is one of the key parts of the script’s logic. It ensures that the setup is not based on three arbitrary candles, but on a directional push that is large enough to meet the minimum threshold selected by the user. 3) REVERSAL CANDLE CONFIRMATION After the three-candle directional push is identified, the current candle must close in the opposite direction. For long setups: the current candle must close bullish. For short setups: the current candle must close bearish. This requirement is intentionally strict. The script does not treat intrabar movement or unfinished candles as a valid signal. Signals are confirmed only when the bar closes. This matters because a reversal that looks valid intrabar can disappear by the close. By waiting for close confirmation, the script reduces premature signal marking. 4) COOLDOWN FILTER The script includes a cooldown period between signals. Once a signal has fired, a new signal is not allowed until a defined number of bars has passed. In the current implementation, that cooldown is handled internally. The purpose of this filter is to reduce signal clustering and prevent the chart from producing multiple nearby entries from the same short-term market behavior. 5) PIP-BASED RISK PROJECTION When a valid signal appears, the script creates a projected trade framework using: - entry at the signal close, - a fixed stop-loss distance in pips, - a take-profit level based on the selected risk/reward multiple. This makes the projection logic standardized across signals. For long setups: - stop loss is placed below entry, - take profit is placed above entry. For short setups: - stop loss is placed above entry, - take profit is placed below entry. The script can draw: - entry line, - TP box, - SL box, - BUY / SELL label, - TP / SL hit labels. This projection layer is not meant to claim that a setup will succeed. Its purpose is to reduce manual chart annotation and make the behavior of the signal model easier to inspect after the fact. 6) SAME-BAR TP/SL PRIORITY RULE The script uses a strict and conservative rule when both target and stop would appear to be touched on the same bar after entry: if TP and SL are both reached on the same bar, SL takes priority. This is an important implementation detail because it directly affects projected statistics. It makes the review logic more conservative and avoids optimistic ambiguity when bar data alone cannot determine exact intrabar order. 7) SHARED ANALYSIS WINDOW The script uses a shared analysis window internally. Projected results and optimizer comparisons are evaluated over a rolling historical range rather than over the full unlimited chart history. This keeps the internal review process more controlled and makes the optimizer comparison consistent inside the same defined lookback window. 8) INTERNAL OPTIMIZER One of the script’s more advanced components is the internal optimizer. The optimizer runs in the background and is intentionally not exposed as a user-facing optimization panel. Instead of asking the user to manually test every variation, the script internally evaluates combinations of: - 10 EMA values, - 10 minimum-move thresholds. That produces 100 total internal combinations. Each combination uses the same reversal logic: - EMA context, - three-candle directional sequence, - minimum move threshold, - opposite close-confirmed candle, - same stop-loss and RR structure. The optimizer then tracks projected wins, losses, net R, gross profit, and gross loss for each combination, and the summary table displays the current best combination based on the script’s internal comparison rules. This optimizer is not intended to present a “perfect setting”. It is a comparative review aid that helps the user understand how the same reversal framework behaves across multiple hidden parameter combinations. WHAT MAKES THIS SCRIPT ORIGINAL This script uses familiar technical-analysis building blocks such as: - EMA filtering, - candle-sequence logic, - pip-based move measurement, - fixed stop-loss projection, - risk/reward mapping, - performance review tables. Those building blocks are not original by themselves. The originality of this script is not in inventing a completely new primitive indicator. The originality lies in how these familiar elements are arranged into one tightly defined reversal-entry workflow: EMA context → three-candle directional expansion → minimum pip-threshold validation → opposite candle close confirmation → fixed-risk trade projection → on-chart review → internal background parameter comparison That full sequence is the main reason this script exists as its own publication. It is not intended to be simply another EMA filter, another candlestick marker, another TP/SL visualizer, or another optimizer dashboard. It is specifically a short-term reversal-entry framework that combines directional context, expansion measurement, confirmation logic, risk mapping, and review in one workflow. WHAT APPEARS ON THE CHART Depending on settings, the chart may display: - EMA line, - BUY labels, - SELL labels, - signal-bar background highlights, - entry line, - TP box, - SL box, - TP hit labels, - SL hit labels, - summary table, - daily PnL table. Users who want a cleaner chart can disable some visual layers and keep only the ones most relevant to their workflow. HOW TO USE THE SCRIPT A practical workflow is: 1. Add the script to a standard candlestick chart. 2. Select the EMA length you want to use as directional context. 3. Set the minimum three-candle move threshold in pips. 4. Set the pip preset correctly for the instrument, or use manual pip size if needed. 5. Choose the stop-loss distance in pips. 6. Select the RR mode used for take-profit projection. 7. Wait for a valid long or short setup to appear. 8. Use the projected entry, stop, and target structure as a chart-analysis framework rather than as a blind instruction. 9. Review projected trade behavior in the summary table and daily table. 10. Compare your selected settings with the optimizer’s best internal combination, but do not treat the optimizer output as a guaranteed best future configuration. This script is best understood as a structured decision-support and reversal-review tool, not as a self-sufficient trading system. SETTINGS REFERENCE Signal Settings - EMA Length: sets the EMA used as the directional filter. - Minimum 3-Candle Move (Pips): defines how large the directional three-candle move must be before a reversal candle can qualify. Pip Settings - Pip Preset: selects a predefined pip-size interpretation for common instrument types. - Manual Pip Size: allows direct control when the selected symbol needs a custom pip conversion. Risk Management - Stop Loss (Pips): sets the fixed stop-loss distance in pip units. - Take Profit RR: sets the projected target multiple relative to the stop-loss distance. Visual Settings - Show Buy/Sell Labels: shows or hides the signal labels. - Highlight Signal Bars: adds background color to signal bars. - Show Entry Line: shows or hides the projected entry line. - Show TP/SL Hit Labels: controls whether projected outcomes are labeled. - Show TP Hit Labels: controls TP hit labels specifically. - Show SL Hit Labels: controls SL hit labels specifically. Summary Table - Show Summary Table: enables or disables the main review table. - Table Position: sets the table location. - Table Text Size: controls summary-table text size. Daily PnL Table - Show Daily PnL Table: enables or disables the daily review table. - Daily Table Position: sets the daily table location. - Daily Table Text Size: controls daily-table text size. INTERNAL LOGIC NOTES The current code also includes internal settings that are not exposed as user-facing optimization controls. These include: - signal cooldown, - shared analysis window, - maximum stored closed-trade visuals, - hidden optimizer activation, - internal optimizer parameter combinations. These internal elements exist to keep the public interface simpler while still allowing the script to maintain consistent review behavior in the background. IMPORTANT PRACTICAL NOTE ON PIP SIZE The script uses pip-based calculations for: - the minimum three-candle move, - stop-loss distance, - take-profit distance, - optimizer comparison logic. Because of that, correct pip interpretation is extremely important. If signals appear too frequent, too rare, too compressed, or visually inconsistent for the instrument being analyzed, the first setting to verify is Pip Preset or Manual Pip Size. This matters especially for: - gold symbols, - 5-digit forex symbols, - JPY forex pairs, - indices and CFD-style instruments, - custom broker symbols with unusual decimal formatting. LIMITATIONS AND SHORTCOMINGS This script has important limitations: - It is a short-term reversal model, not a full market-structure engine. - It only evaluates one specific reversal pattern based on a three-candle directional push and an opposite close-confirmed candle. - It does not use support/resistance structure, volume profile, or discretionary context. - It relies on pip conversion, so poor pip settings can distort signal behavior. - The internal optimizer compares parameter combinations only inside the defined shared analysis window. - The optimizer output is a comparative review tool, not a guarantee that the best historical combination will remain best in future market conditions. - Projected results depend on the script’s own simplified outcome logic. - If TP and SL are both touched on the same bar, SL is prioritized by design, which makes the logic more conservative but also affects outcome statistics. - Historical projected trades and review metrics are chart-based review aids, not proof of tradable real-world execution. - No reversal-entry model can remove all false signals or all regime-dependent behavior. For those reasons, the script should be used as a structured analysis and review framework, not as a promise of future profitability. WHO THIS SCRIPT MAY BE USEFUL FOR This script may be useful for traders who: - want a rules-based short-term reversal-entry model, - want EMA-based directional context, - want a minimum expansion threshold before a reversal is allowed, - want fixed-risk trade projection on the chart, - want review tables for projected outcomes, - want background comparison of multiple EMA and move-threshold combinations. It may be less suitable for traders who: - want a broad trend-following system, - want a discretionary support/resistance engine, - want a multi-pattern candlestick library, - want a fully automated strategy with no outside confirmation, - want outcome metrics interpreted as live performance promises. DISCLAIMER This script is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Market conditions change, historical behavior does not guarantee future results, and users should perform their own analysis, validation, and risk management before using the script in live decision-making.
Pine Script®指标
由trade_w_samet提供
4
Ultra Dynamic PnL Target R/R tool [RWTrading]I designed this as a way to force myself into creating targets to give myself realistic expectations while I was in the trade. I wanted a drawing tool originally, but it quickly evolved into something so much more. Almost every aspect of this tool is customizable. That includes the positioning of the boxes, labels, etc. If you are unhappy with where something is and how it looks--likely you can move it! The trade dashboard tells you a lot of quick information about the trade. Everything can be toggled on or off as well to reduce the noise. You activate the indicator and it will ask you to set three points: Entry, Stop, Target. You should know each one of these before you place a trade, at least that was what I was striving to achieve. It will then populate the proper R/R and give you information. You can toggle the full version of the compact version of the data as well. As each target is approached it will be dimmed and checked. After 1R has been reached, I have added a reminder to consider bringing your stop loss to break even. Protect your capital and make sure you give up less of your profits to the markets. I hope this helps you plan your trades and keep your expectations in check. It has greatly helped me. Happy Trading.
Pine Script®指标
由redwardenstudios提供
5
Omega Ratio AnalysisThe Omega ratio was introduced by Keating and Shadwick in 2002 as a superior alternative to the Sharpe ratio. Sharpe assumes normally distributed returns (ignores fat tails and might be unrealistic sometimes), Omega captures the entire return distribution. This makes it ideal for analyzing crypto, leveraged ETFs, and any assets with asymmetric returns or fat tails (I love fat tails, as part of my investment strategy of course). Quant funds prefer Omega because it answers: "How much do I gain above my threshold versus how much do I lose below it?" This aligns with actual investment goals better than abstract volatility penalties. THE MATH Omega ratio is defined as: Ω(MAR) = (Sum of returns above MAR) / (Sum of returns below MAR) Where MAR (Minimum Acceptable Return) is your return threshold . The indicator calculates this using log returns for better statistical properties: Log returns: ln(price / previous price) For time series mode: Loops through lookback period, summing gains above threshold and losses below threshold For curve mode: Calculates Omega at multiple MAR levels (from 0% to max) to reveal distribution shape Values above 1.0 indicate gains exceed losses. For example, Ω = 1.5 means $1.50 in gains for every $1.00 in losses relative to your target. Time Series Mode Tracks Omega over time using a rolling window (default 252 bars). Shows color-coded performance zones: Excellent (>1.5), Good (>1.0), Caution (>0.7), Poor (<0.7). Set your annual return target and the indicator converts it to per-bar threshold. Monitor whether you're beating your goal over time. Omega Curve Mode It plots Omega versus different MAR thresholds to reveal the return distribution shape. A steep declining curve indicates normal distribution with thin tails. A gentle slope indicates fat tails with asymmetric upside. Compare your asset against any benchmark (default QQQ) to see which has better tail performance at different return thresholds. HOW TO USE For Long-Term Investors: Use 252-bar lookback on daily charts (1 year) or use even weekly charts. Set your annual target around 10% (historical market average). If Omega stays above 1.0, you're beating your goal. Check the curve periodically - a gentle slope means the asset has upside potential beyond average returns. For Comparing Assets: Plot two assets (like SPY vs TQQQ). If the leveraged version has a gentler curve slope, it captures more explosive upside days. The crossover point shows which MAR threshold favors which asset. Asset above benchmark at high MAR levels = better for aggressive return goals. For Regime Detection: Use shorter periods (60-90 bars) for curve calculation. When curves become steeper, returns are normalizing and momentum may be fading. When curves flatten or become more convex, fat tails are developing (bullish regime forming). APPLICATIONS Asset Selection: Screen for asymmetric opportunities by comparing curve shapes. Gentle slopes indicate lottery-ticket upside potential. Leverage Analysis: Quantify whether leveraged ETFs justify the volatility by comparing curves at high MAR levels. If 3x ETF curve significantly above 1x at MAR = 2%, leverage premium exists. Risk Assessment: Steep curves = predictable, capped returns. Gentle curves = volatile but moonshot potential. Choose based on your risk tolerance and return goals. Performance vs Benchmark: Compare your holdings against sector ETFs or market indices. If your curve is below benchmark at your target MAR, you're not getting paid for the extra risk. PRACTICAL TIPS Curve Period: Use 60-90 bars to see asymmetry during volatile markets. Longer periods (252-1000 bars) average out cycles and produce linear curves. MAR Increments: Keep at 50 for smooth curves. Only lower for performance reasons. Multi-Symbol Analysis: Compare growth stocks vs QQQ, value vs SPY, crypto vs BTC, or leveraged vs unleveraged to quantify relative risk-reward. Reading the X-Axis: MAR shows per-bar percentage. On daily charts, 0.5% MAR means "only days with +0.5%+ returns count as wins." On monthly charts, 3% MAR means "only months with +3%+ returns count as wins." My indicator is perfect for quant investors who want institutional-grade risk analysis. Goes beyond simple volatility metrics to reveal the true shape of return distributions. PRACTICAL EXAMPLE: This chart compares SPY versus TQQQ (3x leveraged Nasdaq ETF) on monthly bars over 252 months (21 years), spanning the 2008 crisis, 2020 crash, and multiple market cycles. Both start at Omega = 1.50 (identical overall risk-adjusted returns), but the curve shapes reveal how those returns were achieved: SPY (in cyan): Steep drop from 1.5 to near zero by MAR = 1.7% per month. Returns cluster tightly around average - predictable but limited upside. TQQQ (in red): Gradual slope maintaining Omega = 0.35 even at MAR = 8.7% per month. Shows fat right tail with many explosive +20-40% months that SPY never sees. Key insight is: For aggressive goals (20-30% annual), SPY's Omega drops to 0.5 (losses dominate) while TQQQ stays above 1.0 (gains exceed losses). TQQQ offers better odds at high return targets, but requires surviving -60 to -90% bear market drawdowns. This demonstrates how curves reveal distribution characteristics that price charts or Sharpe ratios miss - specifically the asymmetric upside advantage of leveraged products for long-term holders with high risk tolerance. Let me know if you have questions or suggestions: - Henrique Centieiro
Pine Script®指标
由HenriqueCentieiro提供
Risk Grid R LevelsThis script is a TradingView Pine v5 overlay indicator that draws a custom risk grid based on your Entry Price and Stop Price (-1R). It calculates one risk unit (1R) as the distance between entry and stop, then plots horizontal levels at -1R, 0R, +1R ... +6R. 0R is your entry, -1R is your stop, and positive levels are profit targets in risk multiples. The lines are thin and extend only to the right. Each level has a clean text label placed directly on the line (no badges), and you can control positioning with: Line Offset (bars) for moving lines left/right Label Offset (bars) for moving labels independently If entry and stop are equal, the script shows an error label instead of drawing levels.
Pine Script®指标
由Romanjukov1991提供
Profit Loss Display UniversalUniversal Profit Loss Display is a chart overlay for quickly visualizing projected reward, risk, and reference levels from the current price. The script lets you select: - one main profit target - one main stop loss level - four additional reference sources The sources can be any element of another indicator displayed on the current chart (using the TradingView's source parameter. **How it works** The indicator compares each selected level to the current price and estimates the move using your configured position base. This makes it useful for planning trades around fixed targets, stops, VWAPs, pivots, bands, or any custom level source. For each active level, it displays the move from current price as price points, dollar value, or both. The profit target and stop loss also get dedicated value labels, and the script calculates a live reward-to-risk ratio in `R` format. **Key features** - Configurable `input.source` levels for profit target, stop loss, and 4 extra references - Display mode selector: `Price Points`, `$ Value`, or `Both` - Automatic leverage detection by asset class, with manual override - Dollar projection based on chunk size and leverage - Clean on-chart labels that only appear when a source is different from `close` - Reward-to-risk ratio displayed directly on the chart - Bottom-right info table showing active chunk size and leverage **Best use cases** - Pre-trade reward/risk planning - Visual target and stop mapping - Comparing multiple nearby levels from current price - Quick dollar impact estimation without manual calculation **Notes** This is a planning helper, not a strategy or execution tool. Dollar projections do not include fees, spread, slippage, funding, or partial exits. --------------------------------------------------------------------------------------------------------------------- **How To Use** 1. Add the indicator to your chart. 2. Set your main `Profit Target` and `Stop Loss Limit`. These are the two primary levels used for the projected profit/loss labels and the `R` ratio. 3. Optionally assign `Extra Source 1-4`. Use these for additional levels you want to monitor, such as VWAPs, pivots, moving averages, bands, or custom plotted values. 4. Choose your `Display Mode`. - `Both` shows price distance and dollar value - `Price Points` shows only the raw move from current price - `$ Value` shows only the projected dollar impact 5. Set your `Chunk Size`. This is the base position size used in the calculation. 6. Set `Leverage X`. - Leave it at `0` to use automatic leverage by asset class Automatic Leverage Rules If Leverage X is set to 0, the script uses these defaults: crypto: 5 forex: 30 futures: 10 cfd: 10 stock: 5 index: 20 fund: 5 anything else: 10 A small table in the bottom-right corner shows the active chunk size and leverage. - Enter a manual value if you want to override auto leverage 7. Turn `Show Labels?` on or off as needed. **What You Will See** - A source label for the profit target - A source label for the stop loss - Source labels for up to 4 extra levels - A dedicated profit value label - A dedicated stop-loss value label - An `R:x.x` reward-to-risk ratio label - A bottom-right table showing current chunk size and leverage **Important Behavior** - Labels only appear when the selected source is different from `close` - `close` acts as the default “off” state for any source input - Labels are updated on the latest bar only - The ratio is based on distance from current price to target and stop **Practical Example** If you are planning a trade: - set `Profit Target` to your take-profit level - set `Stop Loss Limit` to your invalidation level - set `Chunk Size` to your standard trade allocation - choose a leverage value or leave auto mode enabled - use the extra sources for nearby confluence or reaction zones This gives you an immediate view of: - potential upside - potential downside - reward-to-risk ratio - relative distance to other important levels **Notes** This script is a visual planning tool. It does not place trades and does not account for fees, slippage, spread, funding, or scaling in and out.
Pine Script®指标
由FutuRInvest提供
Ultimate Risk Manager: Fixed Dollar Risk & Position CalculatorAre you tired of manually calculating your position size to risk exactly $10, $50, or $100 per trade? The Ultimate Risk Manager is a professional-grade position sizing and risk calculation tool designed for day traders and scalpers. Instead of guessing your position size and hoping your stop loss doesn't wipe out your account, this tool allows you to set a Fixed Dollar Risk. It tells you exactly how much margin to use so that if your Stop Loss is hit, you lose exactly the amount you planned for. Perfect for futures and leverage traders on any exchange (MEXC, Binance, Bybit, etc.). ✨ Key Features: 🎯 Strict Risk Management: Input your desired risk (e.g., $2.00) and the calculator outputs the exact "Total Position" and "Margin" required based on your Stop Loss distance. 🤖 Auto Long/Short Detection: No need to toggle directions. The script automatically detects if it's a LONG or SHORT based on where you place your Stop Loss relative to your Entry. 💸 Built-in Fee Calculator: Input your exchange's round-trip fee percentage. The table calculates your exact fee cost and provides your Net Profit (after fees) at your Take Profit target. 🧹 Ultra-Minimalist Chart Visuals: Say goodbye to indicator lines cutting through your price action. This script uses short, clean floating markers for Entry, SL, and TP that sit neatly in the empty space on the right side of your chart. 🎨 Customizable UI: Includes a Light/Dark theme toggle, adjustable table positioning, and sliders to push the floating chart markers exactly where you want them. 🛠️ How to Use: Open the indicator Settings (Double-click the table). Under "Trade Setup," enter your Fixed Risk ($), Leverage, and Exchange Fee (%). Under "Price Levels," use the Price Picker tool (the target icon) to click your desired Entry, Stop Loss, and Take Profit levels directly on the chart. Look at the dashboard table! Copy the highlighted Yellow Margin Number and type it directly into your exchange's order box. Protect your capital and trade like a professional by keeping your risk mathematically consistent on every single trade.
Pine Script®指标
由Tolma9202提供