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ES Multi-Timeframe SMC Entry SystemOverviewThis is a comprehensive Smart Money Concepts (SMC) trading strategy for ES1! (E-mini S&P 500) futures that provides simultaneous buy and sell signals across three timeframes: Daily, Weekly, and Monthly. It incorporates your complete entry checklists, confluence scoring system, and automated risk management.Core Features1. Multi-Timeframe Signal Generation Daily Signals (D) - For intraday/swing trades (1-3 day holds) Weekly Signals (W) - For swing trades (3-10 day holds) Monthly Signals (M) - For position trades (weeks to months) All three timeframes can trigger simultaneously (pyramiding enabled) 2. Smart Money Concepts ImplementationOrder Blocks (OB) Automatically detects bullish and bearish order blocks Bullish OB = Down candle before strong impulse up Bearish OB = Up candle before strong impulse down Validates freshness (< 10 bars = higher quality) Visual boxes displayed on chart Fair Value Gaps (FVG) Identifies 3-candle imbalance patterns Bullish FVG = Gap between high and current low Bearish FVG = Gap between low and current high Tracks unfilled gaps as targets/entry zones Auto-removes when filled Premium/Discount Zones Calculates 50-period swing range Premium = Upper 50% (short from here) Discount = Lower 50% (long from here) Deep zones (<30% or >70%) for higher quality setups Visual shading: Red = Premium, Green = Discount Liquidity Sweeps Sell-Side Sweep (SSL) = False break below lows → reversal up Buy-Side Sweep (BSL) = False break above highs → reversal down Marked with yellow labels on chart Valid for 10 bars after occurrence Break of Structure (BOS) Identifies when price breaks recent swing high/low Confirms trend continuation Marked with small circles on chart 3. Confluence Scoring SystemEach timeframe has a 10-point scoring system based on your checklist requirements:Daily Score (10 points max) HTF Trend Alignment (2 pts) - 4H and Daily EMAs aligned SMC Structure (2 pts) - OB in correct zone with HTF bias Liquidity Sweep (1 pt) - Recent SSL/BSL occurred Volume Confirmation (1 pt) - Volume > 1.2x 20-period average Optimal Time (1 pt) - 9:30-12 PM or 2-4 PM ET (avoids lunch) Risk-Reward >2:1 (1 pt) - Built into exit strategy Clean Price Action (1 pt) - BOS occurred FVG Present (1 pt) - Near unfilled fair value gap Minimum Required: 6/10 (adjustable)Weekly Score (10 points max) Weekly/Monthly Alignment (2 pts) - W and M EMAs aligned Daily/Weekly Alignment (2 pts) - D and W trends match Premium/Discount Correct (2 pts) - Deep zone + trend alignment Major Liquidity Event (1 pt) - SSL/BSL sweep Order Block Present (1 pt) - Valid OB detected Risk-Reward >3:1 (1 pt) - Built into exit Fresh Order Block (1 pt) - OB < 10 bars old Minimum Required: 7/10 (adjustable)Monthly Score (10 points max) Monthly/Weekly Alignment (2 pts) - M and W trends match Weekly OB in Monthly Zone (2 pts) - OB in deep discount/premium Major Liquidity Sweep (2 pts) - Significant SSL/BSL Strong Trend Alignment (2 pts) - D, W, M all aligned Risk-Reward >4:1 (1 pt) - Built into exit Extreme Zone (1 pt) - Price <20% or >80% of range Minimum Required: 8/10 (adjustable)4. Entry ConditionsDaily Long Entry ✅ Daily score ≥ 6/10 ✅ 4H trend bullish (price > EMAs) ✅ Price in discount zone ✅ Bullish OB OR SSL sweep OR near bullish FVG ✅ NOT during avoid times (lunch/first 5 min)Daily Short Entry ✅ Daily score ≥ 6/10 ✅ 4H trend bearish ✅ Price in premium zone ✅ Bearish OB OR BSL sweep OR near bearish FVG ✅ NOT during avoid timesWeekly Long Entry ✅ Weekly score ≥ 7/10 ✅ Weekly trend bullish ✅ Daily trend bullish ✅ Price in discount ✅ Bullish OB OR SSL sweepWeekly Short Entry ✅ Weekly score ≥ 7/10 ✅ Weekly trend bearish ✅ Daily trend bearish ✅ Price in premium ✅ Bearish OB OR BSL sweepMonthly Long Entry ✅ Monthly score ≥ 8/10 ✅ Monthly trend bullish ✅ Weekly trend bullish ✅ Price in DEEP discount (<30%) ✅ Bullish order block presentMonthly Short Entry ✅ Monthly score ≥ 8/10 ✅ Monthly trend bearish ✅ Weekly trend bearish ✅ Price in DEEP premium (>70%) ✅ Bearish order block present5. Automated Risk ManagementPosition Sizing (Per Entry) Daily: 1.0% account risk per trade Weekly: 0.75% account risk per trade Monthly: 0.5% account risk per trade Formula: Contracts = (Account Equity × Risk%) ÷ (Stop Points × $50) Minimum = 1 contractStop Losses Daily: 12 points ($600 per contract) Weekly: 40 points ($2,000 per contract) Monthly: 100 points ($5,000 per contract) Profit Targets (Risk:Reward) Daily: 2:1 = 24 points ($1,200 profit) Weekly: 3:1 = 120 points ($6,000 profit) Monthly: 4:1 = 400 points ($20,000 profit) Example with $50,000 AccountDaily Trade: Risk = $500 (1% of $50k) Stop = 12 points × $50 = $600 Contracts = $500 ÷ $600 = 0.83 → 1 contract Target = 24 points = $1,200 profit Weekly Trade: Risk = $375 (0.75% of $50k) Stop = 40 points × $50 = $2,000 Contracts = $375 ÷ $2,000 = 0.18 → 1 contract Target = 120 points = $6,000 profit Monthly Trade: Risk = $250 (0.5% of $50k) Stop = 100 points × $50 = $5,000 Contracts = $250 ÷ $5,000 = 0.05 → 1 contract Target = 400 points = $20,000 profit 6. Visual Elements on ChartKey Levels Previous Daily High/Low - Red/Green solid lines Previous Weekly High/Low - Red/Green circles Previous Monthly High/Low - Red/Green crosses Equilibrium Line - White dotted line (50% of range) Zones Premium Zone - Light red shading (upper 50%) Discount Zone - Light green shading (lower 50%) SMC Markings Bullish Order Blocks - Green boxes with "Bull OB" label Bearish Order Blocks - Red boxes with "Bear OB" label Bullish FVGs - Green boxes with "FVG↑" Bearish FVGs - Red boxes with "FVG↓" Liquidity Sweeps - Yellow "SSL" (down) or "BSL" (up) labels Break of Structure - Small lime/red circles Entry Signals Daily Long - Small lime triangle ▲ with "D" below price Daily Short - Small red triangle ▼ with "D" above price Weekly Long - Medium green triangle ▲ with "W" below price Weekly Short - Medium maroon triangle ▼ with "W" above price Monthly Long - Large aqua triangle ▲ with "M" below price Monthly Short - Large fuchsia triangle ▼ with "M" above price 7. Information TablesConfluence Score Table (Top Right) ┌──────────┬────────┬────────┬────────┐ │ TF │ SCORE │ STATUS │ SIGNAL │ ├──────────┼────────┼────────┼────────┤ │ 📊 DAILY │ 7/10 │ ✓ PASS │ 🔼 │ │ 📈 WEEKLY│ 6/10 │ ✗ WAIT │ ━ │ │ 🌙 MONTH │ 9/10 │ ✓ PASS │ 🔽 │ ├──────────┴────────┴────────┴────────┤ │ P&L: $2,450 │ └─────────────────────────────────────┘ Green scores = Pass (meets minimum threshold) Orange/Red scores = Fail (wait for better setup) 🔼 = Long signal active 🔽 = Short signal active ━ = No signal Entry Checklist Table (Bottom Right) ┌──────────────┬───┐ │ CHECKLIST │ ✓ │ ├──────────────┼───┤ │ ━ DAILY ━ │ │ │ HTF Trend │ ✓ │ │ Zone │ ✓ │ │ OB │ ✗ │ │ Liq Sweep │ ✓ │ │ Volume │ ✓ │ │ ━ WEEKLY ━ │ │ │ W/M Align │ ✓ │ │ Deep Zone │ ✗ │ │ ━ MONTHLY ━ │ │ │ M/W/D Align │ ✓ │ │ Zone: Discount│ │ └──────────────┴───┘ Green ✓ = Condition met Red ✗ = Condition not met Real-time updates as market conditions change 8. Alert SystemIndividual Alerts: "Daily Long" - Triggers when daily long setup appears "Daily Short" - Triggers when daily short setup appears "Weekly Long" - Triggers when weekly long setup appears "Weekly Short" - Triggers when weekly short setup appears "Monthly Long" - Triggers when monthly long setup appears "Monthly Short" - Triggers when monthly short setup appears Combined Alerts: "Any Long Signal" - Catches any bullish opportunity (D/W/M) "Any Short Signal" - Catches any bearish opportunity (D/W/M) Alert Messages Include: 🔼/🔽 Direction indicator Timeframe (DAILY/WEEKLY/MONTHLY) Current confluence score
Strategia Pine Script®
di Prototype1111
Liquidity Maxing [JOAT]Liquidity Maxing - Institutional Liquidity Matrix Introduction Liquidity Maxing is an open-source strategy for TradingView built around institutional market structure concepts. It identifies structural shifts, evaluates trades through multi-factor confluence, and implements layered risk controls. The strategy is designed for swing trading on 4-hour timeframes, focusing on how institutional order flow manifests in price action through structure breaks, inducements, and liquidity sweeps. Core Functionality Liquidity Maxing performs three primary functions: Tracks market structure to identify when control shifts between buyers and sellers Scores potential trades using an eight-factor confluence system Manages position sizing and risk exposure dynamically based on volatility and user-defined limits The goal is selective trading when multiple conditions align, rather than frequent entries. Market Structure Engine The structure engine tracks three key events: Break of Structure (BOS): Price pushes beyond a prior pivot in the direction of trend Change of Character (CHoCH): Control flips from bullish to bearish or vice versa Inducement Sweeps (IDM): Market briefly runs stops against trend before moving in the real direction The structure module continuously updates strong highs and lows, labeling structural shifts visually. IDM markers are optional and disabled by default to maintain chart clarity. The trade engine requires valid structure alignment before considering entries. No structure, no trade. Eight-Factor Confluence System Instead of relying on a single indicator, Liquidity Maxing uses an eight-factor scoring system: Structure alignment with current trend RSI within healthy bands (different ranges for up and down trends) MACD momentum agreement with direction Volume above adaptive baseline Price relative to main trend EMA Session and weekend filter (configurable) Volatility expansion/contraction via ATR shifts Higher-timeframe EMA confirmation Each factor contributes one point to the confluence score. The default minimum confluence threshold is 6 out of 8, but you can adjust this from 1-8 based on your preference for trade frequency versus selectivity. Only when structure and confluence agree does the strategy proceed to risk evaluation. Dynamic Risk Management Risk controls are implemented in multiple layers: ATR-based stops and targets with configurable risk-to-reward ratio (default 2:1) Volatility-adjusted position sizing to maintain consistent risk per trade as ranges expand or compress Daily and weekly risk budgets that halt new entries once thresholds are reached Correlation cooldown to prevent clustered trades in the same direction Global circuit breaker with maximum drawdown limit and emergency kill switch If any guardrail is breached, the strategy will not open new positions. The dashboard clearly displays risk state for transparency. Market Presets The strategy includes configuration presets optimized for different market types: Crypto (BTC/ETH): RSI bands 70/30, volume multiplier 1.2, enhanced ATR scaling Forex Majors: RSI bands 75/25, volume multiplier 1.5 Indices (SPY/QQQ): RSI bands 70/30, volume multiplier 1.3 Custom: Default values for user customization For crypto assets, the strategy automatically applies ATR volatility scaling to account for higher volatility characteristics. Monitoring and Dashboards The strategy includes optional monitoring layers: Risk Operations Dashboard (top-right): Trend state Confluence score ATR value Current position size percentage Global drawdown Daily and weekly risk consumption Correlation guard state Alert mode status Performance Console (top-left): Net profit Current equity Win rate percentage Average trade value Sharpe-style ratio (rolling 50-bar window) Profit factor Open trade count Optional risk tint on chart background provides visual indication of "safe to trade" versus "halted" state. All visualization elements can be toggled on/off from the inputs for clean chart viewing or full telemetry during parameter tuning. Alerts and Automation The strategy supports alert integration with two formats: Standard alerts: Human-readable messages for long, short, and risk-halt conditions Webhook format: JSON-formatted payloads ready for external execution systems (optional) Alert messages are predictable and unambiguous, suitable for manual review or automated forwarding to execution engines. Built-in Validation Suite The strategy includes an optional validation layer that can be enabled from inputs. It checks: Internal consistency of structure and confluence metrics Sanity and ordering of risk parameters Position sizing compliance with user-defined floors and caps This validation is optional and not required for trading, but provides transparency into system operation during development or troubleshooting. Strategy Parameters Market Presets: Configuration Preset: Choose between Crypto (BTC/ETH), Forex Majors, Indices (SPY/QQQ), or Custom Market Structure Architecture: Pivot Length: Default 5 bars Filter by Inducement (IDM): Default enabled Visualize Structure: Default enabled Structure Lookback: Default 50 bars Risk & Capital Preservation: Risk:Reward Ratio: Default 2.0 ATR Period: Default 14 ATR Multiplier (Stop): Default 2.0 Max Drawdown Circuit Breaker: Default 10% Risk per Trade (% Equity): Default 1.5% Daily Risk Limit: Default 6% Weekly Risk Limit: Default 12% Min Position Size (% Equity): Default 0.25% Max Position Size (% Equity): Default 5% Correlation Cooldown (bars): Default 3 Emergency Kill Switch: Default disabled Signal Confluence: RSI Length: Default 14 Trend EMA: Default 200 HTF Confirmation TF: Default Daily Allow Weekend Trading: Default enabled Minimum Confluence Score (0-8): Default 6 Backtesting Considerations When backtesting this strategy, consider the following: Commission: Default 0.05% (adjustable in strategy settings) Initial Capital: Default $100,000 (adjustable) Position Sizing: Uses percentage of equity (default 2% per trade) Timeframe: Optimized for 4-hour charts, though can be tested on other timeframes Results will vary significantly based on: Market conditions and volatility regimes Parameter settings, especially confluence threshold Risk limit configuration Symbol characteristics (crypto vs forex vs equities) Past performance does not guarantee future results. Win rate, profit factor, and other metrics should be evaluated in context of drawdown periods, trade frequency, and market conditions. How to Use This Strategy This is a framework that requires understanding and parameter tuning, not a one-size-fits-all solution. Recommended workflow: Start on 4-hour timeframe with default parameters and appropriate market preset Run backtests and study performance console metrics: focus on drawdown behavior, win rate, profit factor, and trade frequency Adjust confluence threshold to match your risk appetite—higher thresholds mean fewer but more selective trades Set realistic daily and weekly risk budgets appropriate for your account size and risk tolerance Consider ATR multiplier adjustments based on market volatility characteristics Only connect alerts or automation after thorough testing and parameter validation Treat this as a risk framework with an integrated entry engine, not merely an entry signal generator. The risk controls are as important as the trade signals. Strategy Limitations Designed for swing trading timeframes; may not perform optimally on very short timeframes Requires sufficient market structure to identify pivots; may struggle in choppy or low-volatility environments Crypto markets require different parameter tuning than traditional markets Risk limits may prevent entries during favorable setups if daily/weekly budgets are exhausted Correlation cooldown may delay entries that would otherwise be valid Backtesting results depend on data quality and may not reflect live trading with slippage Design Philosophy Many indicators tell you when price crossed a moving average or RSI left oversold. This strategy addresses questions institutional traders ask: Who is in control of the market right now? Is this move structurally significant or just noise? Do I want to add more risk given what I've already done today/week? If I'm wrong, exactly how painful can this be? The strategy provides disciplined, repeatable answers to these questions through systematic structure analysis, confluence filtering, and multi-layer risk management. Technical Implementation The strategy uses Pine Script v6 with: Custom types for structure, confluence, and risk state management Functional programming approach for reusable calculations State management through persistent variables Optional visual elements that can be toggled independently The code is open-source and can be modified to suit individual needs. All important logic is visible in the source code. Disclaimer This script is provided for educational and informational purposes only. It is not intended as financial, investment, trading, or any other type of advice or recommendation. Trading involves substantial risk of loss and is not suitable for all investors. Past performance, whether real or indicated by historical tests of strategies, is not indicative of future results. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between backtested results and actual results subsequently achieved by any particular trading strategy. The user should be aware of the risks involved in trading and should trade only with risk capital. The authors and publishers of this script are not responsible for any losses or damages, including without limitation, any loss of profit, which may arise directly or indirectly from use of or reliance on this script. This strategy uses technical analysis methods and indicators that are not guaranteed to be accurate or profitable. Market conditions change, and strategies that worked in the past may not work in the future. Users should thoroughly test any strategy in a paper trading environment before risking real capital. Commission and slippage settings in backtests may not accurately reflect live trading conditions. Real trading results will vary based on execution quality, market liquidity, and other factors not captured in backtesting. The user assumes full responsibility for all trading decisions made using this script. Always consult with a qualified financial advisor before making investment decisions. Enjoy - officialjackofalltrades
Strategia Pine Script®
di officialjackofalltrades
Heikin Ashi Wick Strategy 🔥 Heikin Ashi Wick Momentum Strategy “Trade momentum decay before the trend breaks. >> FOCUS ON WICKS, NOT ONLY CANDLE COLOR<< What Makes This Different (Traffic Driver) ✔ Uses Heikin Ashi wicks (almost nobody does this correctly) ✔ Captures trend continuation, not breakouts ✔ Exits before momentum collapse, not after ✔ Non-repainting ✔ Clean charts, instant readability This Strategy Is REALLY Trading This is a Heikin Ashi momentum-decay system: • Enters when trend is strong but not euphoric • Exits when: o Trend stops probing higher o Sellers gain relative strength It avoids: • Chasing strong breakout candles • Holding through momentum rollovers Candle Type Used: Heikin Ashi (manually calculated) NOTE: The script does not use regular candles. It reconstructs Heikin Ashi (HA) candles from raw OHLC: • HA Close = average of open, high, low, close • HA Open = midpoint of prior HA candle (smoothed) • HA High / Low = extremes of HA open/close vs real high/low ➡️ This filters noise and emphasizes trend structure and momentum. Strengths ✅ Works well in strong, smooth trends ✅ Very clean logic (no indicators) ✅ Non-repainting ✅ Early exits protect capital Best Use This works best on: • Daily timeframe • Strong trend ETFs / megacaps o QQQ o SPY o NVDA, MSFT, AAPL • When combined with: o EMA 21 trend filter (your preference) o Market regime filter (e.g., above 50/200 SMA) o Rising 10 EMA and 20 EMA ________________________________________ 8️⃣ Weaknesses (Important) ⚠️ No stop loss (only structure-based exits) ⚠️ Can exit too early in explosive trends ⚠️ Will chop in sideways markets ⚠️ No volatility filter (ATR, EMA, regime) How to Avoid the Weaknesses — Summary Turn the setup from a concept into a robust strategy by adding these controls: 1. Trade Only Trends o Require price above EMA-21 (optionally EMA-21 > EMA-50) o Eliminates chop and sideways markets 2. Improve Exits (Avoid Leaving Winners Too Early) o Partial exit when upper wick disappears o Full exit only when lower wick dominates o Optional: require 2 consecutive exit candles 3. Add Risk Protection o Use a volatility stop: ~1.5× ATR(14) below entry or below HA swing low o Protects against gaps and sudden reversals 4. Filter Weak Signals o Require meaningful wick size (≈30–40% of candle range) o Avoids low-quality indecision candles 5. Avoid Bad Volatility o Skip entries when ATR is expanding aggressively o Focus on calmer, controllable trends 6. Limit Time in Trade o Add a max bars hold (e.g., 10–15 bars on daily) o Prevents capital getting stuck in fading trends ⚠️ Educational use only. Not financial advice. Trading involves risk and losses can exceed expectations. Past performance does not guarantee future results. Use at your own risk.
Strategia Pine Script®
di TrendRiderPro
Infinity Algo Backtest█ OVERVIEW Infinity Algo Backtest is a strategy testing system with 5 entry modes, 6 take-profit levels, and optional Auto-Tune optimization (historical simulation). Switch between trend-following, contrarian, and sniper entries within one strategy. Auto-Tune runs historical simulations across hundreds of parameter combinations and selects the best-scoring configuration based on your chosen metric (not predictive AI). Includes trailing stop-loss options, optional add-on entries (pyramiding), and structured alert messages for automation. █ KEY FEATURES ✅ 5 Entry Modes: Normal, Smart, AI, HL Sniper, AI Sniper ✅ 3 Exit Modes: Percentage targets, Signal step-outs, Opposite signal flip ✅ 6 Take-Profit Levels with customizable partial position sizing ✅ Trailing Stop-Loss (None / Breakeven / Moving Target) ✅ Auto-Tune Optimization (Walk-Forward or Static) ✅ Optional add-on entries (pyramiding) ✅ Structured alert messages for webhook automation ✅ Designed for crypto, forex, stocks, indices, and commodities █ WHAT MAKES THIS STRATEGY DIFFERENT 🧠 Auto-Tune Engine Unlike static strategies, this system tests 500+ parameter combinations — varying sensitivity (5-28), thresholds, and trigger configs — then selects the best-scoring settings from historical simulations. Choose from 12 scoring metrics: Sharpe Ratio, Sortino Ratio, Calmar Ratio, SQN, Martin Ratio, GPR, Win Rate, Total Profit, Average Profit, Profit Factor, Sortino + Calmar Composite, and Robust Score. Note: Auto-Tune is systematic parameter optimization on historical data — not predictive AI. Past performance does not guarantee future results. 🎯 Multi-Mode Entry System Switch between trend-following, contrarian, and sniper modes — all within one strategy. No need to maintain multiple scripts. 🛡️ Adaptive Risk Management Trailing SL modes that respond to your TP hits: Breakeven: Locks in safety after your chosen TP is reached Moving Target: Ratchets your stop to the previous TP level as profit grows 📊 Reproducible Results Full transparency on strategy properties so you can replicate exact backtest conditions. █ ENTRY ENGINES Normal + Smart (Default) Normal: Contrarian entries — momentum cross against the trend filter for reversal plays Smart: Trend-following entries — momentum cross with the trend filter for continuation plays Auto-Tune Mode Tests 500+ parameter combinations against historical data Simulates trades internally using your TP/SL configuration Scores by your chosen metric (Sharpe, Sortino, Calmar, Win Rate, etc.) Walk-Forward: Re-optimizes every N bars to adapt to regime changes Static: Locks in best-scoring settings from full available history HL Sniper Trend-trigger mode for more selective entries Fewer signals, but more selective setups Auto-Tune Sniper Optimizes RSI period, smoothing factor, and trigger sensitivity Adapts sniper configuration based on historical performance █ EXIT MODES 1) Percentage Targets Up to 6 TP levels (TP1…TP6) with customizable partial exits Configure both price distance (%) and position size (%) for each level Designed for scaling out rather than all-in/all-out 2) Signal Step-Outs Momentum-shift condition triggers partial exits Optional higher-timeframe confirmation "New TP Must Beat Last" prevents weak consecutive exits 3) Opposite Signal Closes/flips position when the next opposite entry signal appears Best for trend-following systems █ USE CASES 📈 Trending Markets Use "Smart" signals + Percentage TPs. Stay aligned with momentum while scaling out at multiple targets. Enable Moving Target trailing to lock in profits. 📉 Ranging / Choppy Markets Use "Normal" signals (contrarian mode). Catch reversals at range boundaries. Tighter TP targets work better here. ⚡ High Volatility / News Events Use "HL Sniper" for selective entries. Fewer signals, more selective. Wider SL to accommodate volatility. 🤖 Automation & Bots Structured alert payloads work with popular bot platforms and custom webhooks. Entry + 6 TPs + SL in one alert. █ HOW TO USE Apply to your chart (any timeframe, any market) Start with Entry Signals = "Normal + Smart", Exit Mode = "Percentage" Pick your direction (Long / Short / Both) Adjust signal thresholds and trend filter length to match your style Configure TP% levels and Qty% — total should sum to 100% Enable Stop-Loss and choose a trailing mode Set commission and slippage in Strategy Properties for realistic results Optional: Enable Auto-Tune for adaptive optimization █ STRATEGY PROPERTIES Default settings for reproducible backtests: Initial capital: 10,000 USD Order size type: Cash Default order size: 10,000 Process orders on close: Enabled Pyramiding: Controlled by "Allow Add-On Entries" For realistic results, set commission and slippage in Strategy Properties to match your broker/exchange. █ ALERTS & AUTOMATION The strategy outputs structured alert payloads compatible with: Popular bot platforms and webhook receivers Custom automation systems (JSON format) Setup: Create alert → Select "Order fills and alert() function calls" → Use {{strategy.order.alert_message}} placeholder █ WORKS ON Crypto Forex Stocks Indices Commodities █ REALISTIC EXPECTATIONS No strategy wins 100% of the time — this is no exception Auto-Tune optimizes on past data — it cannot predict the future Backtest results ≠ live results (fees, slippage, and emotions matter) Always validate with out-of-sample data before going live Use proper position sizing and risk management █ LIMITATIONS Backtests are simulations — results depend on market conditions, fees, slippage, and parameters Auto-Tune can overfit if used without out-of-sample validation Multi-timeframe exit logic confirms on higher-TF bar closes (slight delay expected) Use standard candles/bars for strategy testing (avoid Heikin Ashi, Renko) █ DISCLAIMER This strategy is provided for educational and informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Trading involves substantial risk of loss, and you are solely responsible for your own trading decisions.
Strategia Pine Script®
di InfinityAlgo
EMA and Dow Theory Strategies V2📘 Overview This strategy is an advanced evolution of the original EMA × Dow Theory hybrid model. V2 introduces true swing‑based trend detection, gradient trend‑zones, higher‑timeframe swing overlays, and dynamic exit logic designed for intraday to short‑term trading across crypto, forex, stocks, and indices. The system provides precise entries, adaptive exits, and highly visual guidance that helps traders understand trend structure at a glance. 🧠 Key Features 🔹 1. Dual‑EMA Trend Logic (Symbol + External Index) Both the chart symbol and an external index (OTHERS.D) are evaluated using fast/slow EMAs to determine correlation‑based trend bias. 🔹 2. Dow Theory Swing Detection (Real‑time) The script identifies swing highs/lows and updates trend direction when price breaks them. This creates a structural trend model that reacts faster than EMAs alone. 🔹 3. Gradient Trend Zones (Visual Trend Strength) When trend is up or down, the area between price and the latest swing level is filled with a multi‑step gradient. This makes trend strength and distance-to-structure visually intuitive. 🔹 4. Higher‑Timeframe Swing Trend (htfTrend) Swing highs/lows from a higher timeframe (e.g., 4H) are plotted to show macro structure. Used only for visual context, not for filtering entries. 🔹 5. RSI‑Based Entry Protection RSI prevents entries during extreme overbought/oversold conditions. 🔹 6. Dynamic Exit System Includes: Custom stop‑loss (%) Partial take‑profit (TP1/TP2/TP3) Automatic scale‑out when trend color weakens “Color‑change lockout” to prevent immediate re‑entry Real‑time PnL tracking and labels 🔹 7. Alerts for All Key Events Entry, stop‑loss, partial exits, and trend‑change exits all generate structured JSON alerts. 🔹 8. Visual PnL Labels & Equity Tracking PnL for the latest trade is displayed directly on the chart, including scale‑out adjustments. ⚙️ Input Parameters Parameter Description Fast EMA / Slow EMA EMAs used for symbol trend detection Index Fast / Slow EMA EMAs applied to external index StopLoss (%) Custom stop‑loss threshold Scale‑Out % Portion to exit when trend color weakens RSI Period / Levels Overbought/oversold filters Swing Detection Length Bars used to detect swing highs/lows Stats Display Position of statistics table 🧭 About htfTrend (Higher Timeframe Trend) The higher‑timeframe swing trend is displayed visually but not used for entry logic. Why? Strict HTF filtering reduces trade frequency and often removes profitable setups. By keeping it visual‑only, traders retain flexibility while still benefiting from macro structure awareness. Use it as a contextual guide, not a constraint. 📘 概要 本ストラテジーは、V1 を大幅に拡張した EMA × ダウ理論 × スイング構造 × 上位足トレンド可視化 の複合型モデルです。 短期〜デイトレード向けに最適化されており、仮想通貨・FX・株式・指数など幅広いアセットで利用できます。 V2 では、スイング構造の自動検出、グラデーションによるトレンド強度の可視化、上位足スイングライン、動的な利確/損切りロジック が追加され、視覚的にもロジック的にも大幅に強化されています。 🧠 主な機能 🔹 1. 銘柄＋外部インデックスの EMA クロス判定 対象銘柄と OTHERS.D の EMA を比較し、相関を考慮したトレンド方向を判定します。 🔹 2. ダウ理論に基づくスイング高値・安値の自動検出 スイング更新によりトレンド方向を切り替える、構造ベースのトレンド判定を採用。 🔹 3. グラデーション背景によるトレンド強度の可視化 スイングラインから現在価格までを段階的に塗り分け、 「どれだけトレンドが伸びているか」を直感的に把握できます。 🔹 4. 上位足スイングトレンド（htfTrend）の表示 4H などの上位足でのスイング高値・安値を表示し、 大局的なトレンド構造を視覚的に把握できます（ロジックには未使用）。 🔹 5. RSI による過熱・売られすぎフィルター 極端な RSI 状態でのエントリーを防止。 🔹 6. 動的イグジットシステム カスタム損切り（％） TP1/TP2/TP3 の段階的利確 トレンド色の弱まりによる自動スケールアウト 色変化後の再エントリー制限（waitForColorChange） リアルタイム PnL の追跡とラベル表示 🔹 7. アラート完備（JSON 形式） エントリー、損切り、部分利確、トレンド反転などすべてに対応。 🔹 8. 損益ラベル・統計表示 直近トレードの損益をチャート上に表示し、視覚的に把握できます。 ⚙️ 設定項目 設定項目名 説明 Fast / Slow EMA 銘柄の EMA 設定 Index Fast / Slow EMA 外部インデックスの EMA 設定 損切り（％） カスタム損切りライン 部分利確割合 トレンド弱化時のスケールアウト割合 RSI 期間・水準 過熱/売られすぎフィルター スイング検出期間 スイング高値・安値の検出に使用 統計表示位置 テーブルの表示位置 🧭 上位足トレンド（htfTrend）について 上位足スイングの更新に基づくトレンド判定を表示しますが、 エントリー条件には使用していません。 理由： 上位足を厳密にロジックへ組み込むと、トレード機会が大幅に減るためです。 本ストラテジーでは、 「大局の把握は視覚で、エントリーは柔軟に」 という設計思想を採用しています。 → 裁量で利確判断や逆張り回避に活用できます。
Strategia Pine Script®
di mm_mitsuya
NIFTY_2MIN_CVD_short_StrategySummary This strategy is an intraday system designed for the Nifty index on a 2-minute timeframe, focusing exclusively on identifying high-probability short (sell) entries. It utilizes a combination of rapid price action and Cumulative Volume Delta (CVD) to detect "Buying Absorption" at local peaks. Concept & Core Logic The strategy is engineered to identify "Inverted V-shaped" reversals where aggressive buying pressure is exhausted and absorbed by large-scale limit orders from sellers. Price Action Trigger: The strategy looks for a specific two-part sequence: Sudden Bullish Movement: A rapid upward move that often traps late buyers or triggers short-covering. Sudden Reversal: Immediately followed by a strong, high-momentum bearish (red) candle, signaling a swift rejection of the higher prices. CVD Absorption Filter: To confirm the validity of the reversal, the strategy analyzes the Cumulative Volume Delta (CVD). It identifies instances where the relative movement of the CVD is significantly higher than the corresponding price movement. This specific divergence highlights "Buying Absorption"—a market condition where aggressive market buy orders are being filled by passive limit sell orders, preventing further price appreciation and creating a heavy ceiling for the reversal. Risk Management To maintain a disciplined approach, the strategy employs fixed exit parameters based on the underlying Nifty price: Take Profit: 25 points. Stop Loss: 30 points. Intended Use This tool is intended for traders who study mechanical, rule-based systems and order flow dynamics. It provides a structured framework for observing how volume delta divergence (CVD) and rapid price rejections interact at potential market turning points. Disclaimer: This script is for educational and informational purposes only. It is not financial advice. All trading involves risk, and past performance is not indicative of future results. Please conduct your own research and backtesting before making any trading decisions.
Strategia Pine Script®
di AlgoProfessor
NIFTY_2MIN_CVD_Absorption_long_StrategySummary This strategy is an intraday system designed for the Nifty index on a 2-minute timeframe, focusing on high-probability reversal entries. It utilizes price action patterns and Cumulative Volume Delta (CVD) to identify market turning points. Long Strategy: Concept & Core Logic The long strategy is engineered to identify "V-shaped" recoveries where selling pressure is exhausted and absorbed by aggressive buyers. Price Action Trigger: The strategy looks for a specific two-part sequence: Sudden Bearish Movement: A rapid downward move representing a final flush of sellers. Sudden Reversal: Immediately followed by a strong, high-momentum bullish (green) candle, indicating a swift change in market sentiment. CVD Absorption Filter: To confirm the validity of the reversal, the strategy analyzes the Cumulative Volume Delta (CVD). It specifically looks for instances where the relative movement of CVD is significantly higher than the corresponding price movement. This divergence suggests "selling absorption"—where large buy orders are soaking up sell-side liquidity, creating a floor for the reversal. Risk Management (Long) The strategy utilizes fixed exit parameters based on the underlying Nifty price points: Take Profit: 25 points. Stop Loss: 30 points. Intended Use This tool is intended for traders who study mechanical, rule-based systems. It demonstrates how price action, volume delta divergence (CVD), and trend filters can be combined to time entries in both trending and reversal market conditions. Disclaimer: This script is for educational and informational purposes only. It is not financial advice. All trading involves risk, and past performance is not indicative of future results. Please conduct your own research and backtesting before making any trading decisions.
Strategia Pine Script®
di AlgoProfessor
Nifty_2MIN_Rangereversal_Short_StrategySummary This strategy is an intraday trend-following system designed for the Nifty index on a 2-minute timeframe, focusing exclusively on short (sell) entries. It is engineered to identify failed bounces within established bearish trends. Concept & Core Logic The strategy uses a multi-layered approach to confirm downward momentum before triggering an entry: Trend Confirmation: The script analyzes the slope and positioning of the 20-period and 200-period Exponential Moving Averages (EMA). Short signals are only valid when the EMA configuration confirms a prevailing bearish trend. Retracement Zone Filtering: To optimize entry pricing, the strategy monitors the daily price range. It looks for the market to be within the 35% to 75% range of the day's movement, specifically identifying a temporary upward "relief rally" or bounce after a significant fall. Candlestick Trigger: The execution occurs when a specific bearish reversal pattern appears during the relief rally: Two consecutive bullish candles (representing the temporary bounce). Followed by a strong, high-momentum bearish candle (signaling the resumption of the primary downtrend). Risk Management The strategy utilizes fixed exit parameters based on the underlying Nifty price points: Take Profit: 28 points. Stop Loss: 30 points. Intended Use This tool is intended for traders who study mechanical, rule-based systems. It demonstrates how moving average trends can be combined with range analysis and price action sequences to time entries during market retracements. Disclaimer: This script is for educational and informational purposes only. It is not financial advice. All trading involves risk, and past performance is not indicative of future results. Please conduct your own research and backtesting before making any trading decisions.
Strategia Pine Script®
di AlgoProfessor
Nifty_2MIN_ Rangereversal_Long _StrategySummary This strategy is an intraday trend-following system designed for the Nifty index on a 2-minute timeframe. It focuses exclusively on long entries, seeking to identify high-probability recovery points within an established uptrend. Concept & Core Logic The strategy identifies entries based on a confluence of trend direction, price recovery levels, and specific candlestick patterns: Trend Confirmation: The script utilizes the slope and positioning of the 20-period and 200-period Exponential Moving Averages (EMA). A long signal is only considered when the trend is determined to be positive, ensuring trades align with the broader market momentum. Recovery Zone Filtering: To avoid buying at local peaks, the strategy filters for entries that occur when the market has retraced but is showing signs of recovery. Specifically, it looks for price to be within the 35% to 75% recovery range relative to the day's high. Candlestick Trigger: The actual entry trigger is a "Bullish Reversal" sequence: Two consecutive bearish candles (representing a minor pullback). Followed immediately by a strong bullish candle (representing the resumption of strength). Risk Management The strategy uses fixed point-based exits to maintain a disciplined approach: Take Profit: 30 points (underlying Nifty price). Stop Loss: 35 points (underlying Nifty price). Intended Use This script is designed for traders interested in mechanical trend-following systems. It provides a structured way to observe how moving average slopes and specific price action sequences interact during intraday recoveries. Disclaimer: This script is for educational and informational purposes only. It is not financial advice. All trading involves risk, and past performance is not indicative of future results. Please conduct your own research and backtesting before making any trading decisions.
Strategia Pine Script®
di AlgoProfessor
NIFTY_2min_FVG_sell_StrategyThis strategy is designed for scalping Nifty on a 2-minute chart, focusing exclusively on short entries. The script's purpose is to identify and act on specific bearish patterns based on volume analysis and price action. Concept & Core Logic The strategy operates on a two-stage confirmation process: Volume Absorption: The initial condition seeks to identify potential bearish movements by detecting signs of buying pressure being absorbed by sellers. This suggests that a upward move may be losing momentum. Fair Value Gap (FVG) Confirmation: After a volume absorption signal, the strategy waits for a Bearish Fair Value Gap (FVG) to appear. A short entry signal is generated only after a candle closes below the FVG zone, serving as confirmation of bearish intent. Risk Management The strategy employs a fixed take profit and stop loss for each trade, based on the Nifty underlying price: Take Profit: The exit signal is triggered when a trade reaches a 30-point profit. Stop Loss: The exit signal is triggered when a trade reaches a 35-point loss. Intended Use This tool is intended for traders who: Utilize mechanical, rule-based systems for intraday trading and scalping. Are interested in studying a structured approach that combines volume analysis with price action inefficiencies like Fair Value Gaps.
Strategia Pine Script®
di AlgoProfessor
ORB Fusion Adaptive🎯 ORB Fusion Adaptive Strategy Professional Opening Range Breakout Trading System ═══════════════════════════════════════════════════════════════════════════════ The first fully-automated, multi-instrument ORB strategy on TradingView. 💡 WHAT IT DOES: Automatically trades Opening Range breakouts and failed breakout reversals with intelligent position sizing, professional risk management, and complete trade lifecycle tracking. Built for serious backtesting and live trading. ⚡ KEY FEATURES: ✓ Automated Entry & Exit (breakouts + reversals) ✓ Adaptive Position Sizing (3 modes: Fixed, Risk-Based, Risk-Based Initial) ✓ Multi-Instrument Support (Futures, Forex, Crypto, Stocks) ✓ Advanced Risk Management (daily limits, drawdown protection) ✓ ML-Powered Breakout Filtering (pContinue/pFail scoring) ✓ Failed Breakout Detection (high-probability reversals) ✓ Native Trailing Stops (Pine Script v5) ✓ Multi-Target Management (T1, T2, T3) ✓ Real-Time Performance Dashboard ✓ Comprehensive Backtesting (5+ years tested) 🎯 STRATEGY LOGIC: Entry Signals The strategy enters trades on two high-probability setups: 1. ORB Breakouts • Detects when price breaks above/below Opening Range • Confirms with volume (configurable threshold) • ML filter scores probability of continuation • Enters within 3 bars of breakout (no late entries) • Stop placed at ORB midpoint or ATR-based • Targets at Fibonacci extensions (1.0x, 1.618x, 2.5x ORB range) 2. Failed Breakout Reversals • Monitors for breakouts that fail and reverse • Confirms failure after price returns inside ORB • Automatic reversal entry with tight stops • Three profit targets (0.5x, 1.0x, 1.5x ORB range) • Historical 65-75% win rate on reversals Exit Management • Stop Loss: Multiple methods (ATR, ORB Mid, ORB Opposite, Hybrid) • Native Trailing Stop: Activates after configurable R-multiple profit • Profit Targets: Single target or scaled exits at T1/T2/T3 • Daily Stop: Halts trading after max daily loss • Drawdown Protection: Circuit breaker at max drawdown threshold 🔧 ADAPTIVE POSITION SIZING: The strategy's most powerful feature - intelligent position sizing that adapts to your instrument and account: Mode 1: Fixed • Simple contract/lot size • Best for: Testing, stable position sizing • Use case: "Always trade 2 contracts" Mode 2: Risk-Based (Current Equity) • Size = (Current Equity × Risk%) / (Stop Distance × Point Value) • Compounds with wins, reduces with losses • Best for: Aggressive compounding • Use case: Maximize geometric growth Mode 3: Risk-Based (Initial Capital) • Size = (Initial Capital × Risk%) / (Stop Distance × Point Value) • No compounding - consistent risk exposure • Best for: Professional risk management • Use case: Live trading with stable risk Multi-Instrument Intelligence Auto-detects and calculates correctly for: • Futures: Uses contract point value (ES $50/pt, NQ $20/pt, MES $5/pt, MNQ $2/pt) • Forex: Uses pip value per lot (Standard/Mini/Micro/Nano) • Crypto: Uses contract multiplier (1.0 BTC, 0.001 BTC, etc) • Stocks: Uses $1 per share Manual override available if auto-detect fails. 📊 RISK MANAGEMENT: Multi-Layer Protection • Per-Trade Risk: 0.5-2% of capital (configurable) • Daily Risk Limit: Max 4% loss per day (halts trading) • Max Drawdown Pause: Circuit breaker at 12% drawdown • Position Size Limits: Min/max contracts enforced • Max Stop Distance: ATR-based hard limit (prevents catastrophic losses) Trailing Stop System • Uses Pine Script's native trail_price and trail_offset • Activates after configurable R-multiple profit (default 0.5R) • Trail distance: ATR-based (tight 0.5 ATR to loose 2.0 ATR) • Works reliably in backtesting AND live trading • No manual stop management needed 🌍 GLOBAL MARKET SUPPORT: Configurable Sessions Unlike basic ORB indicators, this strategy works globally: • US Equities: 9:30 AM ET default • Forex London: Custom session 08:00-08:30 GMT • Forex NY: Custom session 13:30-14:00 GMT • Asian Markets: Custom session with Tokyo timezone • Crypto: 24/7 support with custom ORB windows Timezone support includes: America/New_York, Europe/London, Asia/Tokyo, Asia/Hong_Kong, UTC, and more. Session ORBs • Asian Session ORB (Tokyo open) • London Session ORB (Forex primary) • NY Session ORB (US market hours) Critical for Forex traders working multiple sessions. 📈 BACKTESTING CAPABILITIES: Realistic Simulation • Commission: Configurable (default $1 per order) • Slippage: 2 ticks default (adjustable) • Volume Confirmation: Prevents unrealistic fills • RTH Filtering: Optional Regular Trading Hours only • Bar Magnifier: Improved intrabar execution Performance Metrics Dashboard Real-time statistics displayed: • Total Trades & Win Rate • Net P&L & Profit Factor • Current Drawdown • Daily P&L tracking • Position details (if in trade) • Position sizing mode & current size Historical Testing • Supports 5000+ bars of history • Test across multiple market conditions • Bull markets, bear markets, range-bound periods • Optimize by day type (trend vs rotation) 🎛️ CUSTOMIZATION OPTIONS: ORB Settings • Timeframe: 5, 15, 30, or 60 minutes • Confirmation: Close, Wick, or Body • Volume: On/off with multiplier threshold • LTF Precision: Sub-minute high/low detection • RTH Filter: Regular Trading Hours only option Breakout Detection • ML Filtering: Enable/disable with thresholds • Failed Breakout: Sensitivity (2-10 bars) • Failure Buffer: ATR-based confirmation • Entry Window: Bars after signal (prevents late entries) Stop Methods • ATR: Tight dynamic stops (recommended) • ORB Mid: Structural stop at midpoint • ORB Opposite: Wide stop at opposite boundary • Hybrid: Best of ATR and structural Target Methods • Single: One target, full exit • Scaled: Partial exits at T1/T2/T3 (recommended) • Trail Only: No fixed targets, trail to exit 🔬 OPTIMIZATION GUIDE: For Futures (ES, NQ, MNQ, MES) • ORB: 30 min • Confirmation: Close • Volume: ON (1.5x) • Stop Method: ATR (1.0x multiplier) • Position Mode: Risk-Based (Initial) • Risk Per Trade: 1.5% • Failed Breakouts: ENABLE For Forex Majors • ORB: 60 min (or 15 min at London open) • Confirmation: Close • Volume: OFF (tick volume unreliable) • Stop Method: ATR (1.5x multiplier) • Position Mode: Risk-Based (Initial) • Risk Per Trade: 1.0% • Custom Session: 0800-0900 GMT • Timezone: Europe/London For Crypto (BTC, ETH) • ORB: 60 min • Confirmation: Close • Volume: OFF or ON (1.2x) • Stop Method: ATR (2.0x wider stops) • Position Mode: Fixed or Risk-Based • Risk Per Trade: 2.0% (higher volatility) • Custom Session: Define your preferred window For Stocks/ETF • ORB: 15-30 min • Confirmation: Body (most conservative) • Volume: ON (2.0x threshold) • Stop Method: Hybrid • Position Mode: Risk-Based (Initial) • Risk Per Trade: 1.0% • RTH Only: ENABLED • Gap Analysis: ENABLED 💎 ADVANCED FEATURES: Initial Balance Analysis • First hour range tracking (A + B periods) • IB extensions at 0.5x, 1.0x, 1.5x, 2.0x • Day type classification (Trend/Normal/Rotation) • Adjusts strategy behavior by day type ORB Extensions • Fibonacci targets: 1.272x, 1.5x, 1.618x, 2.0x, 2.618x, 3.0x • Dynamic monitoring for take-profit zones • Extension tracking in statistics VWAP Integration • Institutional benchmark reference • Standard deviation bands (1σ and 2σ) • Breakout alignment scoring • Context for trade quality Gap Analysis • Overnight gap detection • Gap fill target projection • Gap fill rate statistics • Direction bias from gap type Comprehensive Statistics • Bull/Bear breakout win rates • Reversal win rate (typically 65-75%) • Day type distribution • Extension statistics • Gap fill rate • Real-time performance tracking 🎨 VISUAL FEEDBACK: Enhanced Plots • ORB levels (High/Low/Mid continuous lines) • Entry markers (L for long, S for short, 🔥 for reversals) • Extension levels with labels • Session ORBs (Asian/London/NY) • IB levels and extensions • VWAP with bands • Failed breakout markers Color-Coded Momentum Boxes • Blue: Inside ORB (consolidation) • Green: Above ORB (bullish momentum) • Red: Below ORB (bearish momentum) • Orange: Failed breakout zones • Variable intensity based on distance Dynamic Dashboards • Main Dashboard: ORB status, breakout info, setup details, market context • Strategy Dashboard: Trades, Win%, P&L, Profit Factor, Daily P&L, Drawdown, Position info • Narrative Dashboard: Plain-language market interpretation Three Display Modes • Simple: Clean chart, essential ORB only • Standard: ORB + IB + Sessions + VWAP (recommended) • Advanced: All features + statistics 🔔 ALERT SYSTEM: Strategy Alerts • Breakout Entry (with ML probabilities) • Failed Breakout Entry (with targets) • Stop Hit (position closed) • Target Hit (T1, T2, T3 partials) • Extension Reached (profit zone) • IB Break (potential trend day) All alerts include: • Direction and setup type • Entry price and position size • Stop and target levels • ML scores (if enabled) • Setup grade (A+ to D) • Win rate context ⏱️ TIMEFRAMES: 1m-15m optimal (works on all) 💎 INSTRUMENTS: Futures, Forex, Crypto, Stocks, Indices 🎓 SKILL LEVEL: Intermediate to Advanced 📚 WHAT'S INCLUDED: Comprehensive Documentation • 200+ lines of detailed tooltips • Every setting fully explained • Optimization guides by market • Position sizing calculator explanations • Risk management framework • Best practices and common pitfalls Ready-to-Use Configurations • Default settings optimized for ES/NQ • Recommended settings for each instrument type • Conservative vs Aggressive profiles • Scalping vs Swing configurations Full Transparency • All calculations shown in dashboard • Position sizing visible in real-time • Strategy performance metrics live • No black boxes or hidden logic 🚨 RISK DISCLAIMERS: CRITICAL INFORMATION - PLEASE READ: • This is a trading strategy that executes real trades in backtesting • Past performance does NOT guarantee future results • All trading involves substantial risk of loss • Never risk money you cannot afford to lose • This is NOT financial advice - for educational purposes only • Requires understanding of ORB methodology and risk management • Test thoroughly on paper/demo account before live trading • Position sizing must be configured correctly for your account • Stop losses are NOT guaranteed in all market conditions • Slippage and commissions will affect live results • Volatile markets may trigger circuit breakers (drawdown pause) Strategy-Specific Risks: • Opening range breakouts can fail (hence the reversal system) • Volume confirmation may limit signals in low-volume instruments • Custom sessions must match your market's actual hours • Multi-instrument support requires correct point value configuration • Trailing stops may exit early in volatile conditions • Daily limits may prevent recovery trades • Backtesting results may not match live execution Position Sizing Warnings: • Risk-Based modes can size large positions if stops are tight • Always set max position size limits appropriate for your account • Verify point values are correct for your instrument • Test with small size first • Monitor position size in dashboard before every trade 🎓 WHO THIS IS FOR: Best Suited For: • Traders with ORB methodology knowledge • Those seeking a fully-automated system • Backtesting enthusiasts • Multi-instrument traders • Risk-conscious systematic traders • Traders who understand position sizing Not Recommended For: • Complete beginners to trading • Those seeking "set and forget" with zero monitoring • Traders unwilling to backtest first • Those who don't understand risk management • Accounts under $5,000 (position sizing too small) 💡 PRO TIPS: Backtesting Best Practices • Start with 2+ years of data • Include both bull and bear markets • Test on same timeframe you'll trade (5-min for 5-min ORB) • Account for commissions/slippage realistically • Verify win rate >45% and profit factor >1.3 Position Sizing • Use Risk-Based (Initial Capital) for most consistent results • Start with 1% risk per trade, increase to 1.5-2% if comfortable • Set max position size to prevent oversizing • Verify point values are correct before live trading • Monitor dashboard for actual size before each trade Risk Management • NEVER disable daily loss limit • Keep max drawdown pause at 12% or lower • Use ATR stop method for best R:R • Enable trailing stops for trend capturing • Take partial profits at T1 (at least 30-40%) Failed Breakout Trading • These are your highest win-rate setups (65-75%) • Always enable this feature • Use tighter stops on reversals than breakouts • Don't chase if you miss the entry window • Three targets allow you to scale out profitably ML Filtering • Dramatically improves breakout quality • Reduce signals but increase win rate • Start with default thresholds (pCont≥0.55, pFail≤0.35) • Lower signals = higher quality in choppy markets • Can disable for more signals in strong trends ⚙️ TECHNICAL DETAILS: Strategy Engine • Pine Script v5 • Native strategy.entry() and strategy.exit() • Trailing stops use trail_price/trail_offset (no repainting) • Proper position sizing with strategy.position_size • Realistic fills with commission and slippage • Bar magnifier for improved intrabar execution Performance • Optimized for 1-minute to 15-minute charts • Supports 5000+ bars of history • Efficient calculations (no arrays in hot loops) • Max 500 visual objects (boxes/lines/labels) • No repainting - all signals confirmed on bar close Position Sizing Engine • Auto-detects Futures, Forex, Crypto, Stocks • Uses syminfo.pointvalue when available • Falls back to manual configuration • Proper rounding to exchange increments • Min/max limits enforced Risk System • Per-trade risk percentage enforced • Daily P&L tracking • Drawdown from peak equity • Circuit breakers halt trading when limits hit • Resets daily for fresh start 🔄 VERSION HISTORY: Current Version: 1.0 (Initial Release) • Complete ORB breakout + reversal strategy • Adaptive position sizing (3 modes) • Multi-instrument support • Advanced risk management • Native trailing stops • ML filtering integration • Comprehensive backtesting • Real-time performance dashboard Planned Updates: • Additional session templates (Tokyo, Sydney) • More stop methods • Enhanced ML model training • Volatility regime detection • Trade journal export ═══════════════════════════════════════════════════════════════════════════════ Trade the opening range with institutional precision. Automated entries. Intelligent sizing. Professional risk management. Test first. Trade smart. Scale safely. Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Strategia Pine Script®
di DskyzInvestments
1
ML Adaptive SuperTrend Strategy [trade_crush]# ML Adaptive SuperTrend Strategy - User Guide ## Introduction The **ML Adaptive SuperTrend Strategy** is a sophisticated trading tool that combines traditional trend-following logic with **Machine Learning (K-Means Clustering)** to dynamically adapt to market volatility. Unlike standard SuperTrend indicators that use a fixed ATR, this strategy analyzes historical volatility to categorize the current market into distinct clusters, providing more precise entries and exits. > > **Special Thanks:** This strategy is based on the innovative work of **AlgoAlpha**. You can explore their extensive library of high-quality indicators and strategies on TradingView: (www.tradingview.com). --- ## Machine Learning Engine (K-Means) The core of this strategy is its ability to "learn" from recent market behavior. - **K-Means Clustering**: The script takes the last $N$ bars of ATR data and runs an iterative clustering algorithm to find three "centroids" representing **High**, **Medium**, and **Low** volatility. - **Adaptive ATR**: Based on the current volatility, the strategy selects the nearest centroid to use as the ATR value for the SuperTrend calculation. This ensures the trailing stop tightens during low volatility and widens during high volatility to avoid "noise". --- ## Key Features ### 1. Non-Repainting Signals - **Confirm Signals**: When enabled, signals are only triggered after a bar closes. This ensures that the arrows and entries you see on the chart are permanent and reliable for backtesting. ### 2. Intelligent Risk Management - **Multiple SL/TP Types**: Choose between **Percentage** based stops or **ATR** based stops for both Stop Loss and Take Profit. - **Trailing Stop Loss (TSL)**: - Supports both Percentage and ATR modes. - **Activation Offset**: Only activates the trailing mechanism after the price has moved a certain percentage in your favor, protecting early-stage trades. ### 3. Risk-Based Position Sizing - **Dynamic Quantity**: If enabled, the strategy automatically calculates the trade size based on your **Risk % Per Trade** and the distance to your **Stop Loss**. This ensures you never lose more than your defined risk on a single trade. --- ## User Input Guide ### SuperTrend & ML Settings - **ATR Length**: The window used to calculate market volatility. - **SuperTrend Factor**: The multiplier that determines the distance of the trailing stop from the price. - **Use ML Adaptive ATR**: Toggle between the ML-enhanced logic and standard ATR. - **Training Data Length**: How many historical bars the ML engine analyzes to find clusters. ### Risk Management - **Stop Loss Type**: Set to Percentage, ATR, or None. - **TS Activation Offset**: The profit buffer required before the trailing stop starts following the price. - **Use Risk-Based Sizing**: Toggle this to let the script manage your position size automatically. --- ## How to Trade with This Strategy 1. **Monitor the Dashboard**: Check the top-right table to see which volatility cluster the market is currently in. 2. **Observe the Fills**: The adaptive fills (green/red) visualize the "breathing room" the strategy is giving the price. 3. **Execution**: The strategy enters on "ML Bullish" (Triangle Up) and "ML Bearish" (Triangle Down) signals. 4. **Exits**: The script will automatically exit based on your SL, TP, or Trailing Stop settings. --- ## Credits Original Concept: **AlgoAlpha** Strategy Conversion & Enhancements: **Antigravity AI**
Strategia Pine Script®
di trade_crush
Prop-Firm Ready 2% Drawdown Double-Digit PF 72% AccuracyPerformance snapshot (Strategy Tester): • ~72% win rate • Double-digit profit factor (11+) • ~1.39% maximum drawdown • 36 trades over a multi-month window • 1-contract baseline (scalable) This system was engineered specifically to solve the hardest problem in trading: high return with institutional-grade drawdown control. Prop-firm ready by design: • Drawdown remains well below common prop-firm limits • No martingale, no grid, no averaging down • Controlled trade frequency with asymmetric risk/reward • Capital efficiency prioritized over trade count What this is: A turnkey, all-factor trading system that integrates trend, momentum, volatility, and structural confirmation into a single execution framework. Independent engines operate in parallel to capture non-correlated opportunity while the core system maintains directional exposure. What this is not: • Not curve-fit • Not over-leveraged • Not dependent on winning every trade The objective is simple: extract maximum capital growth per unit of drawdown. This script is published for full performance transparency. Source code and inputs are protected. Additional system details and updates: www.empireostrading.com
Strategia Pine Script®
di Empire-OS-Trading
Kairos MA Strategy [Personal Version] BHow it Works: Trend Definition: Uses a Fast MA (e.g., SMA 10) and a Slow MA (e.g., SMA 11). Uptrend: Fast MA > Slow MA. Downtrend: Fast MA < Slow MA. Entry Trigger: The price must retrace to touch the Fast MA. Validation: The pullback is validated by ATR limits to ensure the price hasn't wicked or closed too far past the MA (preventing "catching a falling knife"). Filters: Slope Filter: Ensures the MAs have a steep enough angle to avoid trading during flat/choppy markets. Volatility: Checks VIX (maximum fear) and ATR (minimum movement) to ensure safe market conditions. Confluence: Optional checks from oscillators like RSI, Stochastic, CCI, etc. Exits: Fixed Targets: Uses a defined Take Profit and Stop Loss in points. No Trade Zone (NTZ): A specific time window that forces all active trades to close (e.g., to avoid holding overnight). Unique Features: Custom Dashboard: Displays real-time win rates, streaks, and a "Strategy Grade" directly on the chart. Dual-Engine: Runs as both a visual indicator (with custom labels) and a backtestable strategy simultaneously.
Strategia Pine Script®
di kingdomcitizendavid
New Rate - PREMIUM v2New Rate - PREMIUM v2 New Rate - PREMIUM v2 is an intraday Opening Range Breakout (ORB) strategy built around a strict one-trade-per-day execution model. The strategy defines a price range using the first N candles of a user-defined session, freezes the High/Low at the close of candle N, and places OCO stop orders exactly at those levels. The first breakout fills, the opposite order is canceled, and no further trades are allowed until the next trading day. This script is published for educational and research purposes, with documented mechanics and backtest settings to support transparency and reproducibility. How the strategy works Session range construction The user selects a minutes-based timeframe, a session start time, and the number of candles N. During the session window, the strategy tracks the highest High and lowest Low formed by the first N candles. These candles are visually highlighted on the chart. Range freeze When candle N closes, the range is locked. Horizontal High/Low lines are drawn and extended forward. An optional 50% midpoint can be displayed for reference. OCO breakout execution Immediately after the range is frozen, the strategy places: A buy stop at the frozen High A sell stop at the frozen Low Orders are linked using OCO (One-Cancels-Other) logic. When one side fills, the opposite order is automatically canceled. Exit management Two exit frameworks are available: Tick-based exits: stop-loss and take-profit are fixed distances in ticks from entry. Risk/Reward exits: optional stop at the opposite side of the range, with TP calculated as RR × risk. Both modes can display SL/TP boxes projected forward for visual review. Daily execution lock After the first filled trade of the day, the strategy blocks any new entries until the next daily reset. This enforces strict discipline and prevents over-trading. Visual features Configurable High/Low lines and labels (color, style, width, alignment) Optional midpoint (50%) line Session background highlight with adjustable opacity Optional SL/TP boxes with configurable colors, borders, and projection length Weekday filter (trade only selected days) Settings used for the published backtest (replication) The performance screenshots included with this publication were generated using the following configuration: Market & chart Symbol: FX:XAUUSD Timeframe: 15 minutes Session & range Session start: as configured on chart (exchange time) Range candles (N): 1 Auto range end: enabled (TF × N) Line extension: 20 bars Exits Exit mode: SL/TP by ticks Stop-loss: 1500 ticks Take-profit: 2000 ticks Weekdays Monday to Friday enabled Strategy Properties (TradingView settings) Initial capital: 1,000 USD Commission: 0.1 (as set in Strategy Properties) Slippage: 1 tick Users should adjust commission, slippage, and position sizing to match their own broker and execution conditions. Backtest context and limitations This strategy uses stop orders that may fill intrabar depending on TradingView’s execution model. Results vary by symbol, timeframe, session selection, and trading costs. Past performance does not guarantee future results. This script is not financial advice. Originality and usefulness While opening-range breakouts are a known concept, this strategy’s implementation focuses on: Exact range-freeze timing: orders are armed precisely at the close of the N-th candle. True OCO + hard daily lock: one-and-done execution enforced at the engine level. Dual exit framework: fixed-tick and RR exits analyzed with the same SL/TP visual logic. Operational safeguards: weekday filters and drawing limits designed for stable long-term backtesting.
Strategia Pine Script®
di PoPeyGroupinc
1