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Gold Smart Scalper V3 - Clean ChartOverview The Gold Smart Scalper V3 is a trend-following momentum strategy specifically optimized for XAU/USD (Gold). It focuses on catching "value pullbacks" within a strong trend, avoiding the noise of sideways markets. Unlike many scalpers that use lagging indicators for exits, this version uses fixed ATR-based targets to lock in profits during high-volatility moves common in Gold. Core Methodology The strategy operates on three layers of confirmation: Macro Trend (HTF Filter): Uses a 50-period EMA to ensure trades are only taken in the direction of the higher-timeframe momentum. The Value Zone: Instead of "chasing" green or red candles, the script waits for a pullback to the space between the 9 EMA and 21 EMA. This ensures a better risk-to-reward entry point. The Trigger: A trade is only executed when price confirms the resumption of the trend by crossing back over the signal EMA after the pullback. Key Features Fixed Profit Targets: Replaced dynamic trailing stops with fixed Take Profit (TP) and Stop Loss (SL) levels based on ATR, ensuring exits aren't "hunted" by Gold's signature volatility spikes. C lean Chart Interface : All moving average plots are hidden. The only visuals provided are the active TP/SL levels when a trade is live, keeping your workspace clutter-free. Single-Trade Logic: The script includes a "One Trade Per Cross" gate, preventing the strategy from over-trading or "stacking" positions during choppy price action. Settings & OptimizationATR Multipliers : Stop Loss (SL): Default $2.0 \times ATR$. Protects against standard market noise.Take Profit (TP): Default $3.0 \times ATR$. Designed for a high Risk/Reward profile.Timeframe Recommendation: Optimized for 15m and 1H for swing scalping, or 5m for aggressive scalping.Instrument: Specifically tuned for Gold (XAU/USD), but applicable to other high-volatility pairs like GBP/JPY or NASDAQ. Disclaimer This script is for educational and backtesting purposes only. Past performance does not guarantee future results. Always practice proper risk management.
استراتيجية Pine Script®
من ‎techtrader_ravi‎
UT Bot + Hull MA Close-Cross Confirm (Strategy)UT Bot + Hull MA Close-Cross Confirm (Strategy) This strategy combines the classic UT Bot ATR trailing stop with a Hull Moving Average (HMA) close-cross confirmation to reduce false signals and improve trade quality. The system works in two stages: UT Bot Signal Detection A volatility-adjusted ATR trailing stop identifies potential trend shifts using a 1-period EMA crossover. This provides early buy and sell signals based on momentum and volatility. Hull MA Close-Cross Confirmation UT Bot signals are only confirmed once price closes across the Hull Moving Average. If a UT signal occurs on the wrong side of the Hull MA, the strategy waits until a valid close-cross occurs before triggering an entry. This confirmation step helps filter chop and late-trend reversals. Key Features Non-repainting logic (uses bar-close confirmation) Futures-friendly design (fixed contracts, point-based TP/SL) Supports Long, Short, or Both directions Built-in Take Profit & Stop Loss Configurable Hull MA type (HMA / EHMA / THMA) Optional Heikin Ashi signal source Clean Buy/Sell alerts for automation and webhook execution Trade Logic Summary Long Entry: UT Bot buy signal + confirmed close above Hull MA Short Entry: UT Bot sell signal + confirmed close below Hull MA Exit: Fixed Take Profit or Stop Loss (user-defined in points) Alerts & Automation The strategy includes dedicated Buy Alert and Sell Alert conditions designed for webhook automation (e.g., trade logging, execution engines, or external dashboards). Alerts trigger only on confirmed bar closes, matching backtest behavior. Intended Use This strategy is designed for futures markets (e.g., MNQ, ES, GC) and performs best on intraday timeframes. Session filters, risk rules, and trade management can be handled externally if desired. Disclaimer This script is provided for educational and research purposes only and is not financial advice. Always test thoroughly and use proper risk management.
استراتيجية Pine Script®
من ‎TheFuturesMonk‎
1
Bollinger Reversal + Swing ExitBollinger Reversal + Swing Exit is a mean-reversion strategy designed to capture short-term reversals when price stretches to an extreme and then shows the first signs of rejection. 1. Core idea This strategy assumes that sharp deviations from a central equilibrium are often followed by a corrective move back toward normal pricing. It does not chase trends. Instead, it waits for price to reach an extreme area and then looks for a controlled turn back in the opposite direction. 2. Signal concept A setup starts only after price reaches an outer extreme zone. The trade is taken only if the market immediately shows a reversal-type reaction rather than continuing to push outward. This reduces entries that happen too early while the move is still accelerating. 3. Long and short behavior Long trades are allowed only after a downside extreme has been reached and price begins to recover. Short trades are allowed only after an upside extreme has been reached and price begins to fade. The goal is to enter close enough to the extreme to keep risk contained, while still requiring evidence that the turn has started. 4. Risk control Risk is defined tightly. The protective stop is placed where the reversal thesis is clearly invalidated, so the strategy is built to accept small losses when the market does not revert and continues expanding in the same direction. 5. Exit logic Profits are taken based on local market structure rather than fixed targets. Once in a position, the strategy looks for a clear exhaustion point in the move and closes the trade when the short-term swing structure signals that the rebound or pullback has likely completed. This aims to capture the core of the corrective move without overstaying. 6. Best conditions This approach performs best in range-bound markets, during consolidations, and in instruments that frequently oscillate around a fair value. It is also useful after impulsive spikes when the move becomes overstretched and liquidity rebalances. 7. When to avoid Avoid using it during strong, clean trends and during persistent breakout phases, where extremes can keep extending and reversals can fail repeatedly. In these conditions, mean-reversion setups can be systematically punished. 8. What to expect Expect a higher trade frequency than trend-following systems, with many small-to-medium wins and occasional sharp losses when the market refuses to revert. The edge comes from disciplined entries only after extremes and quick exits when structure signals completion.
استراتيجية Pine Script®
من ‎alblanz‎
Turtle Multi-Market StrategyTurtle Multi-Market Strategy is a breakout trend-following approach designed to stay aligned with the dominant market direction and participate only when price proves it has enough strength to escape consolidation. 1. Core idea This strategy treats trends as permission and breakouts as proof. The market must already show a clear directional bias before any trade is considered. Only when price is consistently positioned on the correct side of the dominant direction does the strategy become active. This avoids engagement during random price movement and low-quality conditions. 2. Entry logic Trades are initiated only when price demonstrates expansion beyond a well-defined recent range, signaling that the market may be transitioning from consolidation to directional movement. An optional confirmation behavior can be used to avoid reacting to isolated spikes. In this case, the strategy waits for additional price acceptance beyond the breakout area before committing, favoring reliability over immediacy. 3. Trend quality filter The strategy can optionally require evidence of genuine trend strength before allowing entries. When this filter is active, breakouts occurring in weak or indecisive environments are ignored. This helps reduce exposure during sideways markets where breakouts are more likely to fail. 4. Risk and position sizing Risk is handled dynamically. Trade size adapts to current market volatility so that risk remains proportional across different instruments and volatility regimes. This makes the strategy suitable for use on crypto, commodities, indices, and forex without manual recalibration for each market. 5. Exit and trade management Exits are protective and progressive. A protective stop defines the initial risk and then adjusts as price moves favorably. As the trend develops, the stop follows price action, aiming to lock in gains while still allowing room for natural pullbacks. An additional safety mechanism can be enabled to exit if the market decisively re-enters the long-term equilibrium zone. This reduces exposure during sharp reversals but may also shorten otherwise valid trends. 6. How to use it This strategy is best applied to liquid markets where sustained trends can emerge and where breakouts carry informational value, such as major crypto pairs, gold, indices, and liquid forex pairs. It performs best during transitions from consolidation to expansion and during trending phases. It is not designed for mean-reverting or range-bound environments. 7. Practical workflow Apply it on higher intraday or swing-oriented timeframes. Keep the trend strength filter enabled in mixed or uncertain market conditions. Use confirmation on instruments prone to false breakouts or during news-sensitive sessions. If price repeatedly fails to sustain movement and returns to equilibrium, standing aside is part of correct execution. 8. What to expect Expect fewer trades rather than constant activity. Many positions will end with small controlled losses, while profitable trades tend to come from sustained directional moves. The edge lies in participation during expansion phases, not in high win rates or frequent signals.
استراتيجية Pine Script®
من ‎alblanz‎
EMA Trend Following Strategy🎯 EMA TREND FOLLOWING STRATEGY A simple yet powerful trend-following strategy designed for 1-hour timeframes across multiple markets including cryptocurrencies, commodities, indices, and forex pairs. 📊 STRATEGY LOGIC This strategy is based on the classic moving average crossover technique, one of the most reliable trend-following methods in technical analysis: - LONG ENTRIES: When the fast EMA crosses above the slow EMA, indicating the beginning of an uptrend - SHORT ENTRIES: When the fast EMA crosses below the slow EMA, indicating the beginning of a downtrend - EXITS: Positions are closed when the opposite crossover occurs, capturing the trend reversal 🛡️ RISK MANAGEMENT The strategy includes professional risk management features: - Dynamic stop-loss based on market volatility - Automatic position sizing to risk only a fixed percentage per trade - Optional take-profit levels for securing gains - Customizable risk parameters to fit your trading style ⚙️ RECOMMENDED SETTINGS - Timeframe: 1 Hour (H1) - Fast EMA: 20 periods - Slow EMA: 50 periods - Risk per trade: 1-2% of capital - Stop-loss: 2x ATR (Average True Range) 💡 BEST USE CASES This strategy works particularly well on: ✅ BTC/USD and major cryptocurrencies ✅ GOLD and precious metals ✅ S&P 500, NASDAQ, and major indices ✅ EUR/USD, GBP/USD and major forex pairs ⚠️ IMPORTANT NOTES - Always backtest on your specific market before live trading - Past performance does not guarantee future results - Use appropriate position sizing and never risk more than you can afford to lose - This strategy works best in trending markets 📈 Perfect for swing traders and those looking for a systematic approach to capture market trends!
استراتيجية Pine Script®
من ‎alblanz‎
NexTrade Concept NTC Strategy v3.3 BTCNexTrade Concept NTC – Strategy v3.2 BTC NexTrade Concept NTC – Strategy v3.2 BTC is a rule-based trading strategy developed for educational and analytical purposes, focused on BTC market behavior under structured, volatility-aware conditions. This strategy is not a signal service and does not guarantee profitability. Its objective is to provide a systematic framework to study how market structure, volatility regimes, and risk-defined execution interact in Bitcoin environments. Core Concept The strategy is built around clean structural logic, prioritizing: Directional bias via recent market structure (BOS / CHoCH logic) Volatility filtering to avoid low-quality conditions Risk-controlled execution using ATR-based stop validation Premium / Discount contextual positioning Displacement confirmation to avoid weak price movement All entries are generated only when multiple independent conditions align, reducing noise and over-trading. Key Components Market Structure Swing-based structure detection Trend direction tracking Recency filter to avoid outdated breaks Volatility Regime Control ATR mean comparison Optional blocking of low-volatility environments Cooldown system after position exits Displacement Validation Optional requirement of real price expansion Body-to-ATR proportional confirmation Risk & Execution Logic Fixed percentage risk per trade Dynamic position sizing based on stop distance Predefined Risk-to-Reward framework One-position-at-a-time logic (no pyramiding) Important Notes This script is intended for backtesting, research, and learning purposes only. It does not provide financial advice. Performance results depend on market conditions, execution settings, and user configuration. Always validate any strategy in a simulated environment before considering real-world use. Recommended Use BTC-focused analysis Intraday to swing timeframes Study of volatility-adjusted structure-based trading Strategy optimization and parameter research
استراتيجية Pine Script®
من ‎NexTrade_Academy‎
RSI Strategy with Auto Tuner (PF)# RSI Auto‑Tuner Strategy — How To Use This document explains **how to use** the RSI Auto‑Tuner strategy. It intentionally avoids math and implementation details. Follow this as an operating guide. --- ## 1. What This Tool Is For This strategy helps you: * Discover **which RSI length works best** on a given ticker and timeframe * Measure performance using **Profit Factor (PF)** * Improve RSI performance on noisy markets by **transforming price first** The auto‑tuner is a **research tool**, not a live trading signal generator. --- ## 2. Two Modes You Must Treat Differently ### Research Mode Used to explore and discover parameters. * Auto‑Tune: **ON** * Parameters are allowed to change * Results may look very good * Overfitting risk is real ### Trading Mode Used for forward testing or live trading. * Auto‑Tune: **OFF** * Parameters are fixed * Behavior is stable and repeatable * This is the only acceptable mode for live use **Never trade live with Auto‑Tune enabled.** --- ## 3. Manual Mode (Trading Mode) Use this after parameters are finalized. Steps: 1. Set **Auto‑Tune = OFF** 2. Choose: * Source (raw price or transformed price) * RSI Length (manual, default 14) * Oversold / Overbought levels 3. The strategy will: * Enter long when RSI crosses up through Oversold * Enter short when RSI crosses down through Overbought * Flip positions on opposite signals This mode is predictable and safe for forward testing. --- ## 4. Auto‑Tune Mode (Research Mode) Use this to find optimal RSI lengths. Steps: 1. Set **Auto‑Tune = ON** 2. Configure the search range: * Minimum Length (default 5) * Maximum Length (default 14) * Step Size (default 1) 3. The strategy will: * Internally simulate trades for each RSI length * Track gross profit, gross loss, and trades * Select the length with the highest Profit Factor 4. The best length is applied automatically Auto‑Tune evaluates historical data only. --- ## 5. Using a Transform on Price (Critical) RSI does **not** have to run on raw price. You can significantly improve results by: * Applying a **price transform** first * Feeding the transformed series into the RSI Source input Examples of transforms: * Moving averages * Low‑pass filters * Butterworth filters * Any smoother or denoiser Why this works: * Busy, wicky markets cause RSI to whipsaw * Transforms remove micro‑noise * RSI responds to structure instead of chaos * Profit Factor often increases dramatically Best practice: * Auto‑tune on raw price * Auto‑tune on transformed price * Compare PF, trade count, and stability --- ## 6. Reading the Status Label At the last bar, the on‑chart label shows: * Whether Auto‑Tune is ON or OFF * Whether candidates were built successfully * Number of RSI lengths tested * Best RSI length found * Profit Factor and trade count If Auto‑Tune is OFF, the label shows the manual length. --- ## 7. Recommended Workflow 1. Choose ticker and timeframe 2. Enable Auto‑Tune on **raw price** 3. Record best RSI length and PF 4. Enable Auto‑Tune on **transformed price** 5. Compare results 6. Lock parameters 7. Disable Auto‑Tune 8. Forward test --- ## 8. Warnings and Discipline * High PF with few trades is unreliable * Transforms can hide execution costs * Always validate on a different period * Auto‑Tune is a **lens**, not an edge Treat this tool as a research microscope, not an autopilot.
استراتيجية Pine Script®
من ‎AJSwogger‎
1
EMA 1 & SALMA Intersection StrategyTrading Strategy: EMA 1 & SALMA Crossover System This strategy is a Trend-Following system that focuses on the direct interaction between the price (represented by EMA 1) and a smoothed trendline (SALMA). Instead of relying on the color changes of the indicator, it uses mechanical crossover signals to enter and exit trades. 1. Indicators Used EMA 1 (Exponential Moving Average): Since the period is 1, it effectively represents the Current Price. It reacts instantly to every market move. SALMA v3.0 (Smoothed Adaptive Lattice Moving Average): A double-smoothed moving average that acts as the "Base Line" or "Trend Support/Resistance." RSI (Relative Strength Index): Used as a Momentum Filter to ensure we don't trade against the market's strength. 2. Buy (Long) Entry Rules You enter a Long position when the following conditions are met: The Crossover: The EMA 1 (Price) crosses ABOVE the SALMA line. This indicates that the short-term momentum is shifting higher than the average trend. The Filter (RSI): The RSI must be above 50. This confirms that the buyers are in control and the upward move has enough strength. 3. Sell (Short) Entry Rules You enter a Short position when the following conditions are met: The Crossunder: The EMA 1 (Price) crosses BELOW the SALMA line. This indicates a breakdown in price action. The Filter (RSI): The RSI must be below 50. This confirms that the sellers are dominating and the downward momentum is real. 4. Key Advantages of This System Objectivity: You don't guess based on the color of the line; you wait for a clear physical break (cross) of the line. Precision: By using EMA 1, you get the earliest possible entry signal compared to slower moving averages. False Signal Protection: The RSI 50 filter prevents you from entering "weak" trades where the price crosses the line but lacks the volume or momentum to continue.
استراتيجية Pine Script®
من ‎Oguzbey07‎
Adoptive Conditional range High/Low MA Crossover StrategyDeveloped from the doctoral research of Abu-Kadunagra at ****** University's in Australia, this strategy implements a "Campaign-Based Adaptive Execution" framework. It moves beyond simple entries and exits by treating each market engagement as a multi-phase campaign with distinct operational states. The system intelligently identifies cyclical turning points, then employs a feedback-driven approach to capital allocation—reinforcing successful momentum with pyramiding while deploying controlled defensive averaging during temporary setbacks. By anchoring its exit mechanism to dynamically updated market structure rather than static profit targets, the algorithm seeks to capture cyclical momentum while maintaining disciplined risk parameters. This research-driven approach represents an evolution toward state-aware algorithmic systems that adapt their tactics in real-time based on market phase recognition.
استراتيجية Pine Script®
من ‎kadunagra‎
Conditional-range High/Low adoptive-MA Crossover StrategyDeveloped from the doctoral research of Abu-Kadunagra at ****** University on topic of Digital Finance and Crypto in Australia, this strategy implements a "Campaign-Based Adaptive Execution" framework. It moves beyond simple entries and exits by treating each market engagement as a multi-phase campaign with distinct operational states. The system intelligently identifies cyclical turning points, then employs a feedback-driven approach to capital allocation—reinforcing successful momentum with pyramiding while deploying controlled defensive averaging during temporary setbacks. By anchoring its exit mechanism to dynamically updated market structure rather than static profit targets, the algorithm seeks to capture cyclical momentum while maintaining disciplined risk parameters. This research-driven approach represents an evolution toward state-aware algorithmic systems that adapt their tactics in real-time based on market phase recognition.
استراتيجية Pine Script®
من ‎kadunagra‎
VuManChu Strategy [ADX + Vol + Risk] - Good for BTC- The strategy uses the VuManChu WaveTrend oscillator - Before entering any trade, the ADX filter must show a reading above 25. For more reliable momentum moves - Three-Layer Exit System: Fixed Stop Loss (3%): Hard stop placed 3% below entry for longs (above for shorts) to limit maximum loss per trade. This accommodates typical BTC 5-minute volatility without premature stopouts. Take Profit Target (9%): Fixed profit target at 9% providing a 1:3 risk-reward ratio. This means you only need a 40-50% win rate to be profitable overall. Conditional Trailing Stop: The most sophisticated protection - a trailing stop that only activates after the trade reaches 4.5% profit (halfway to target). Once activated, it trails price by 2%, locking in gains while still allowing the trade to reach the full 9% target.
استراتيجية Pine Script®
من ‎eventslooped‎
KSE-100 PSX Long Strategy by KadunagraDeveloped from a academic part of the doctoral research of Kadunagra on digital finance and automation at **** University in Australia, this strategy implements a "Campaign-Based Adaptive Execution" framework. It moves beyond simple entries and exits by treating each market engagement as a multi-phase campaign with distinct operational states. The system intelligently identifies cyclical turning points, then employs a feedback-driven approach to capital allocation—reinforcing successful momentum with pyramiding while deploying controlled defensive averaging during temporary setbacks. By anchoring its exit mechanism to dynamically updated market structure rather than static profit targets, the algorithm seeks to capture cyclical momentum while maintaining disciplined risk parameters. This research-driven approach represents an evolution toward state-aware algorithmic systems that adapt their tactics in real-time based on market phase recognition.
استراتيجية Pine Script®
من ‎kadunagra‎
OCC Strategy Optimized (MA 5 + Delayed TSL)# OCC Strategy Optimized (MA 5 + Delayed TSL) - User Guide ## Introduction The **OCC Strategy Optimized** is an enhanced version of the classic **Open Close Cross (OCC)** strategy. This strategy is designed for high-precision trend following, utilizing the crossover logic of Open and Close moving averages to identify market shifts. This optimized version incorporates advanced risk management, multi-timeframe analysis, and a variety of moving average types to provide a robust trading solution for modern markets. > > **Special Thanks:** This strategy is based on the original work of **JustUncleL**, a renowned Pine Script developer. You can find their work and profile on TradingView here: (in.tradingview.com). --- ## Key Features ### 1. Optimized Core Logic - **MA Period (Default: 5):** The strategy is tuned with a shorter MA length to reduce lag and capture trends earlier. - **Crossing Logic:** Signals are generated when the Moving Average of the **Close** crosses the Moving Average of the **Open**. ### 2. Multi-Timeframe (MTF) Analysis - **Alternate Resolution:** Use a higher timeframe (Resolution Multiplier) to filter out noise. By default, it uses $3 \times$ your current chart timeframe to confirm the trend. - **Non-Repainting:** Includes an optional delay offset to ensure signals are confirmed and do not disappear (repaint) after the bar closes. ### 3. Advanced Risk Management This script features a hierarchical exit system to protect your capital and lock in profits: - **Fixed Stop Loss (Initial):** Protects against sudden market reversals immediately after entry. - **Delayed Trailing Stop Loss (TSL):** - **Activation Delay:** The TSL only activates after the trade reaches a specific profit threshold (e.g., 1%). This prevents being stopped out too early in the trade's development. - **Ratchet Trail:** Once activated, the stop loss "ratchets" up/down, never moving backward, ensuring you lock in profits as the trend continues. - **Take Profit (TP):** A fixed percentage target to exit the trade at a pre-defined profit level. ### 4. Versatility - **12 MA Types:** Choose from SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HullMA, LSMA, ALMA, SSMA, and TMA. - **Trade Direction:** Toggle between Long-only, Short-only, or Both. - **Visuals:** Optional bar coloring to visualize the trend directly on the candlesticks. --- ## User Input Guide ### Core Settings - **Use Alternate Resolution?:** Enable this to use the MTF logic. - **Multiplier for Alternate Resolution:** How many charts higher the "filter" timeframe should be. - **MA Type:** Select your preferred moving average smoothing method. - **MA Period:** The length of the Open/Close averages. - **Delay Open/Close MA:** Use `1` or higher to force non-repainting behavior. ### Risk Management Settings - **Use Trailing Stop Loss?:** Enables the TSL system. - **Trailing Stop %:** The distance the stop follows behind the price (Optimized Default: 1.5%). - **TSL Activation % (Delay):** The profit % required before the TSL starts moving. (Optimized Default: 2.0% to ensure 0.5% profit is locked immediately). - **Initial Fixed Stop Loss %:** Your hard stop if the trade immediately goes against you. - **Take Profit %:** Your ultimate profit target for the trade. --- ## How to Trade with This Strategy 1. **Identify the Trend:** Look for the Moving Average lines (Close vs Open) to cross. 2. **Wait for Confirmation:** If using MTF, ensure the higher timeframe also shows a trend change. 3. **Manage the Trade:** Let the TSL work. With the default **2.0% Activation** and **1.5% Trail**, the strategy will automatically lock in **0.5% profit** the moment the threshold is hit, then follow the price higher. 4. **Position Sizing:** Adjust the `Properties` tab in the script settings to match your desired capital allocation (Default is 10% of equity). --- ## Recommended Settings 1. Trialing < Activation 2. Check ranging ## Credits Original Strategy by: **JustUncleL** Optimized and Enhanced by: **Antigravity AI**
استراتيجية Pine Script®
من ‎trade_crush‎
5
Butterworth LPF Flip + AutoTune (PF)Butterworth LPF Flip + AutoTune (PF) This strategy trades price trend flips using two Butterworth low-pass filters (a FAST filter and a SLOW filter). A trade is taken when the FAST filter crosses the SLOW filter. Optionally, the script can auto-tune the filter lengths by simulating many Fast/Slow combinations and selecting the pair with the best Profit Factor (PF). What the Script Does - Computes two 2‑pole Butterworth low‑pass filters on price. - Enters LONG when FAST crosses above SLOW. - Enters SHORT when FAST crosses below SLOW. - Optionally simulates many Fast/Slow length combinations internally. - Chooses the Fast/Slow pair with the highest Profit Factor. - Trades only the selected best pair. Manual Mode (Default) 1. Leave Auto‑Tune OFF. 2. Set: - FAST cutoff period (bars) - SLOW cutoff period (bars) 3. The strategy will trade using only these values. Use this mode for normal trading or live deployment. Auto‑Tune Mode 1. Enable Auto‑Tune. 2. Define Fast and Slow ranges: - FAST min / max / step - SLOW min / max / step 3. The script simulates ALL Fast × Slow combinations bar‑by‑bar. 4. Each combination tracks: - Gross Profit - Gross Loss - Closed trades - Profit Factor (PF = GP / GL) 5. At the end of the chart, the best PF pair is selected and used for trading. Interpreting the End Box The status label at the end of the chart reports: - Whether Auto‑Tune is enabled - Number of candidate pairs tested - Best FAST period - Best SLOW period - Profit Factor of the best pair - Win Rate (wins ÷ closed trades) If PF is near 1.0 or trades are very low, expand the range or length of the test. Best Practices - Use Auto‑Tune ONLY for research and optimization. - After finding good parameters, disable Auto‑Tune and trade manually. - Keep Fast < Slow (logical separation). - Longer charts produce more reliable PF results. - Avoid very small step sizes (performance + noise). Known Limitations - Pine Script runs bar‑by‑bar; tuning is approximate, not vectorized. - Large grids increase execution time. - Results are historical and NOT predictive. - Not suitable for live auto‑optimization. Summary This script is best viewed as a *research tool first, strategy second*. Use it to discover stable Fast/Slow regimes, then lock them in for simple, repeatable trading.
استراتيجية Pine Script®
من ‎AJSwogger‎
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
استراتيجية Pine Script®
من ‎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
استراتيجية Pine Script®
من ‎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.
استراتيجية Pine Script®
من ‎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.
استراتيجية Pine Script®
من ‎InfinityAlgo‎