지금 시작

무빙 애버리지

Quantum Edge Scalper - Adaptive Precision Trading [KedArc Quant]Strategy Overview Quantum Edge Scalper is a multi-regime intraday strategy engineered for adaptability across equities. It fuses EMA trend & slope, RSI sanity checks, ATR-based volatility gating, and candle-shape filters. Regime detection (ATR%% z-score) tunes thresholds on-the-fly, while an optional OSS — Oversold Short Override captures late-session breakdowns. Robust day-level controls include trade caps, cooldowns, and loss-streak stops. A compact panel summarizes live session stats. Key Features • Preset modes: Aggressive / Aggressive+ / Conservative / Hybrid / Custom. • EMA Fast/Slow trend filter + EMA-separation slope gate. • ATR volatility floor (percent-of-price) to avoid dead markets. • Candle-shape and wick-ratio filters to curb false breakouts. • Regime adaptation using ATR% z-score (HIGH / LOW / NEUTRAL). • Hybrid+ LOW-regime extras: tighter SL, adaptive TP, mid-session pause, loss-streak blocker. • OSS (Oversold Short Override): validators for micro-pullback, range expansion, structure break, and time window. • Daily caps & loss-streak protection; cooldown management post wins/losses. • Clean summary labels + compare panel; optional debug labels.
Pine Script™ 전략
kedarcquant의
EMA inFusion Pro - Multiple SourcesEMA Fusion Pro: Dynamic Trend & Momentum Strategy with Three Exit Modes EMA Fusion Pro is a highly customizable, multi-exit trend-following strategy designed for traders who value both precision and flexibility. By leveraging exponential moving averages (EMA), average directional index (ADX), and volume analysis, this strategy aims to capture trending market moves while offering three distinct exit modes for optimal risk management across varying market conditions. Strategy Overview This strategy systematically identifies potential entry points using a moving average crossover with highly configurable data sources (including price, volume, rate of change, or their Heikin Ashi versions) and filters signal quality with ADX trend strength and volume spikes. Each trade is managed with one of three advanced exit methodologies—reverse signal, ATR-based stop/take profit, or fixed percentage—giving you the control to adapt your risk profile to different market regimes. Key Features Customizable EMA Source: Calculate the core trend-filtering EMA from price (default), volume, rate of change, or their Heikin Ashi counterparts for unique market perspectives. Trend Filter with ADX: Confirm entries only when the trend is strong, as measured by the user-adjustable ADX threshold. Volume Spike Confirmation: Optional filter to only take trades with above-average volume activity, reducing false signals. Three Exit Modes: Reverse Signal: Exit trades when a new, opposite entry signal occurs. ATR-Based Stop/Take Profit: Dynamic risk management using multiples of the average true range (ATR) for both take profit and stop loss. Percent-Based Stop/Take Profit: Fixed-percentage risk management with user-defined thresholds. Visual Annotations: Signal markers, EMA line color-coded by source, trend background coloring, and optional ATR/percent-based TP/SL levels. Info Panel: Real-time display of all core indicators, current trading mode, exit parameters, and position status for quick oversight. How It Works Entry Logic: A crossover signal (above/below the EMA) triggers a new entry, but only if both ADX trend strength and (optionally) volume spike conditions are met. Exit Logic: Three selectable modes allow you to exit trades on reverse signals, at a dynamic ATR-based profit or loss, or at a fixed percentage gain/loss. Flexible Data Analysis: The EMA source can be chosen from six options—standard price, volume, rate of change, or their Heikin Ashi variants—allowing experimentation with different market dimensions. Risk Management: All exits are precisely controlled, either by the next opposing signal, by volatility-adjusted levels, or by fixed risk/reward ratios. Backtest & Optimization: The strategy is fully backtestable within TradingView’s Strategy Tester, with adjustable parameters for optimization. Customization & Usage Indicator Source: Select your preferred data type for EMA calculation, opening the door to creative strategy variations (e.g., volume momentum, pure price trend, rate of change divergence). Filter Toggles: Enable/disable ADX and volume filters as desired—useful for different market environments. Exit Mode Selection: Switch between reverse, ATR, or percent-based exits with a single parameter—ideal for adapting to ranging vs. trending markets. Visual Clarity: The EMA line color reflects its underlying source, and the info panel summarizes all critical values for easy monitoring. Who Should Use This Strategy? Trend Followers seeking to ride strong moves with multiple exit options. Experienced Traders who want to experiment with different data types (volume, momentum, Heikin Ashi) for trend analysis. Algorithmic Traders looking for a robust, flexible base to build upon with their own ideas. Getting Started Apply the script to your chart and review default settings. Customize parameters—EMA length, ADX threshold, volume settings, exit type—as desired. Backtest on multiple instruments and timeframes to evaluate performance. Optimize filters, exit rules, and risk parameters for your preferred trading style. Monitor with the real-time info panel and trade alerts. Disclaimer This script is for educational and entertainment purposes only. It is not financial advice. Past performance is not indicative of future results. Always conduct thorough testing and consider your risk tolerance before trading real capital. — Happy Trading — Feel free to adapt, share, and contribute to this open-source strategy!
Pine Script™ 전략
fenyesk의
1
BTC_Hull Suite StrategyOverview BTC_Hull Suite Strategy is a trend-following system designed to keep drawdowns modest while staying exposed during genuine uptrends. It uses the Hull Moving Average (HMA) for fast, low-lag trend turns, a long-term SMA filter to avoid chop, and a percentage trailing stop to protect gains. 🔧 What the strategy includes - Hull Moving Average (HMA) with configurable length (default 55) - SMA filter (default 130) to trade only with higher-timeframe bias - Trailing stop in percent (default 5%) based on the running peak of close - Execution model: signals are evaluated on the previous bar and entries are placed at the next bar’s open (TradingView default) 📈 How it works: ✅ Entry (Long): Detects a bullish Hull turn by comparing the current HMA to its value 3 bars ago: h > h3 and h <= h3 → HMA just turned up on the prior bar The SMA filter must confirm: close > sma If both are true (and within the date window), a long is opened next bar at the open ❌ Exit: Hull turn down: h < h3 and h >= h3 , or Trailing stop: price closes below peak * (1 – trailingPct) Either condition closes the position at the current bar’s close Notes: pyramiding = 1 → allows one add-on (maximum two concurrent long positions) Position sizing defaults to 20% of equity per entry (adjustable in Properties) Who is this for? This strategy is tailored for Bitcoin traders (spot or perpetuals) who want a rules-based, low-lag trend system with built-in drawdown protection. It works best on Daily or 4H charts, but parameters can be adapted for other timeframes. ⚠️ Disclaimer This strategy is provided for educational and research purposes only. It is not financial advice. Markets are risky — always test on your own data, include realistic fees/slippage, and forward-test before using real capital.
Pine Script™ 전략
Trading_Alpha01의
Trend MasterOverview The Strategy is a trend-following trading system designed for forex, stocks, or other markets on TradingView. It uses pivot points to identify support and resistance levels, combined with a 200-period Exponential Moving Average (EMA) to filter trades. The strategy enters long or short positions based on trend reversals during specific trading sessions (London or New York). It incorporates robust risk management, including position sizing based on risk percentage or fixed amount, trailing stop-losses, breakeven moves, and weekly/monthly profit/loss limits to prevent overtrading. This script is ideal for traders who want a semi-automated approach with visual aids like colored session backgrounds, support/resistance lines, and a performance dashboard. It supports backtesting from a custom start date and can limit trades to one per session for discipline. Alerts are built-in for entries, exits, and stop-loss adjustments, making it compatible with automated trading bots. Key Benefits: Trend Reversal Detection: Spots higher highs/lows and lower highs/lows to confirm trend changes. Session Filtering: Trades only during high-liquidity sessions to avoid choppy markets. Risk Control: Automatically calculates position sizes to risk only a set percentage or dollar amount per trade. Performance Tracking: Displays a table of weekly or monthly P&L (profit and loss) with color-coded heatmaps for easy review. Customizable: Adjust trade direction, risk levels, take-profit ratios, and more via inputs. The strategy uses a 1:1.2 risk-reward ratio by default but can be tweaked. How It Works Trend Identification: The script calculates pivot highs and lows using left (4) and right (2) bars to detect swing points. It identifies patterns like Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) to determine the trend direction (uptrend if above resistance, downtrend if below support). Support (green dotted lines) and resistance (red dotted lines) are drawn dynamically and update on trend changes. Bars are colored blue (uptrend) or black (downtrend) for visual clarity. Entry Signals: Long Entry: Price closes above the 200 EMA, trend shifts from down to up (e.g., breaking resistance), during an active session (London or NY), and no trade has been taken that session (if enabled). Short Entry: Price closes below the 200 EMA, trend shifts from up to down (e.g., breaking support), during an active session, and no prior trade that session. Trades can be restricted to "Long Only," "Short Only," or "Both." Entries are filtered by a start date (e.g., from January 2022) and optional month-specific testing. Position Sizing and Risk: Risk per trade: Either a fixed dollar amount (e.g., $500) or percentage of equity (e.g., 1%). Quantity is calculated as: Risk Amount / (Entry Price - Stop-Loss Price). This ensures you never risk more than intended, regardless of market volatility. Stop-Loss (SL) and Take-Profit (TP): SL for Longs: Set below the recent support level, adjustable by a "reduce value" (e.g., tighten by 0-90%) and gap (e.g., add a buffer). SL for Shorts: Set above the recent resistance level, with similar adjustments. TP: Based on risk-reward ratio (default 1.2:1), so if SL is 100 pips away, TP is 120 pips in profit. Visual boxes show SL (red) and TP (green) on the chart for the next 4 bars after entry. Trade Management: Trailing SL: Automatically moves SL to the new support (longs) or resistance (shorts) if it tightens the stop without increasing risk. Breakeven Move: If enabled, SL moves to entry price once profit reaches a set ratio of initial risk (default 1:1). For example, if risk was 1%, SL moves to breakeven at 1% profit. One Trade Per Session: Prevents multiple entries in the same London or NY session to avoid overtrading. Sessions include optional weekend inclusion and are highlighted (blue for London, green for NY). Risk Limits (Weekly/Monthly): Monitors P&L for the current week or month. Stops trading if losses hit a limit (e.g., -3%) or profits reach a target (e.g., +7%). Resets at the start of each new week/month. Alerts notify when limits are hit. Exits: Trades exit at TP, SL, or manually via alerts. No time-based exits; relies on price action. Performance Dashboard: A customizable table (position, size, colors) shows P&L percentages for each week/month in a grid. Rows = Years, Columns = Weeks (1-52) or Months (1-12). Color scaling: Green for profits (darker for bigger wins), red for losses (darker for bigger losses). Yearly totals in the last column. Helps visualize strategy performance over time without manual calculations. Input Parameters Explained Here's a breakdown of the main inputs for easy customization: Trade Direction: "Both" (default), "Long Only," or "Short Only" – Controls allowed trade types. Test Only Selected Month: If true, backtests only the specified month from the start year. Start Year/Month: Sets the backtest start date (default: Jan 2022). Include Weekends: If true, sessions can include weekends (rarely useful for forex). Only One Trade Per Session: Limits to one entry per London/NY session (default: true). Risk Management Time Frame: "Weekly" or "Monthly" – For P&L limits. Enable Limits: Toggle weekly/monthly stop trading on loss/profit thresholds. Loss Limit (%)/Profit Target (%): Stops trading if P&L hits these (e.g., -3% loss or +7% profit). London/New York Session: Enable/disable, with time ranges (e.g., London: 0800-1300 UTC). Left/Right Bars: For pivot detection (default: 4 left, 2 right) – Higher values smooth signals. Support/Resistance: Toggle lines, colors, style, width. Change Bar Color: Colors bars based on trend. TP RR: Take-profit risk-reward (default: 1.2). Stoploss Reduce Value: Tightens SL (negative values widen it, 0-0.9 range). Stoploss Gap: Adds a buffer to SL (e.g., 0.1% away from support). Move to Breakeven: Enables SL move to entry at a profit ratio (default: true, 1:1). Use Risk Amount $: If true, risks fixed $ (e.g., 500); else, % of equity (default: 1%). EMA 3: The slow EMA period (default: 200) for trend filter. Performance Display: Toggle table, location (e.g., Bottom Right), size, colors, scaling for heatmaps. Setup and Usage Tips Add to Chart: Copy the script into TradingView's Pine Editor, compile, and add to your chart. Backtesting: Use the Strategy Tester tab. Adjust inputs and test on historical data. Live Trading: Connect alerts to a broker or bot (e.g., via webhook). The script sends JSON-formatted alerts for entry, exit, SL moves, and limits. Best Markets: Works well on crypto pairs like SOLUSD or RUNEUSD on 4H timeframes. Risk Warning: This is not financial advice. Always use demo accounts first. Past performance doesn't guarantee future results. Commission is set to 0.05% by default – adjust for your broker. Customization: Experiment with EMA length or RR ratio for your style.
Pine Script™ 전략
nyamkamunhjin의
Optimised XAU/USD (Gold, IC Markets, 30m)The Illyad Strategy 1.0 optimised for XAU/USD (Gold) on the 30-minute timeframe (IC Markets feed). 📊 Backtest Results (Jan 2024 – Aug 2025): ✅ Total P&L: +30,143.28 USD (+30.14%) 📉 Max Drawdown: 3.60% (3,945.84 USD) 🔁 Total Trades: 57 📈 Win Rate: 42.11% (24/57 trades) ⚖️ Profit Factor: 1.91 This setup shows steady performance and low drawdown on Gold — ideal for traders wanting to capture volatility while maintaining consistency. 🔧 Optimisation Notes: Works best on the 30m timeframe. Each instrument (forex, indices, commodities, stocks) has unique behaviour. To maximise results, always optimise the parameters per symbol — e.g., Gold requires a different configuration than GBP/USD or NASDAQ. 💡 Best Use Cases: Prop firm challenges & scaling funded accounts. Long-term compounding with low risk. Automated execution via TradingView alerts → MT5 for hands-free trading. ⚠️ Disclaimer: This strategy is for educational purposes only. Past results do not guarantee future performance. Always backtest and forward-test before going live. 📲 Next Steps: This example demonstrates the Gold (XAU/USD) optimisation. The Illyad Strategy can be tuned for any forex pair, index, or commodity with proper optimisation. 👉 Visit my profile for full automation solutions.
Pine Script™ 전략
acenglish의
Optimised GBP/USD (IC Markets, 30m)This is the Illyad Strategy 1.0 optimised for GBP/USD on the 30-minute timeframe (IC Markets feed). 📊 Backtest Results (Jan 2024 – Aug 2025): ✅ Total P&L: +19,501.97 USD (+19.50%) 📉 Max Drawdown: 3.57% (3,607.64 USD) 🔁 Total Trades: 37 📈 Win Rate: 51.35% (19/37 trades) ⚖️ Profit Factor: 2.08 This version shows steady profitability with controlled drawdown, making it highly effective for prop firm evaluations and scaling accounts. 🔧 Optimisation Notes: Works best on the 30-minute timeframe. Each symbol behaves differently — always optimise the algo per instrument (e.g. GBP/USD vs EUR/GBP vs Gold). Parameters such as moving averages, risk, and SL/TP ratios can be tuned to maximise performance. 💡 Best Use Cases: Prop firm challenges (FTMO, AquaFunded, MyForexFunds, etc.). Scaling funded capital by trading multiple accounts simultaneously. Full automation via TradingView alerts → MT5 integration. ⚠️ Disclaimer: This script is for educational purposes only. Past results do not guarantee future performance. Always backtest and forward-test on demo before going live. 📲 Next Steps: This setup demonstrates the GBP/USD optimisation. The Illyad Strategy can be adjusted to perform across any forex pair, index, or stock with proper optimisation. 👉 Check my profile for full automation solutions.
Pine Script™ 전략
acenglish의
Optimised GBP/CAD (IC Markets, 30m) - Automated TradingHere’s the Illyad Strategy 1.0 optimised for GBP/CAD on the 30-minute timeframe (IC Markets feed). 📊 Backtest Results (Jan 2024 – Aug 2025): ✅ Total P&L: +28,529.35 CAD (+28.53%) 📉 Max Drawdown: 3.61% (3,822.27 CAD) 🔁 Total Trades: 38 📈 Win Rate: 50.00% (19/38 trades) ⚖️ Profit Factor: 2.49 This setup shows strong performance with low drawdown, making it well-suited for prop firm trading and long-term portfolio compounding. 🔧 Optimisation Notes: Works best on the 30-minute timeframe. Each symbol has unique volatility and structure. To maximise results, you must optimise the algo per symbol (e.g., GBP/CAD vs EUR/USD vs NASDAQ). Parameters such as moving averages, signal intensity, and SL/TP levels should be tuned to the instrument. 💡 Best Use Cases: Prop firm challenges (FTMO, AquaFunded, MyForexFunds alternatives). Running across multiple accounts simultaneously for compounding. Automated execution via TradingView alerts → MT5 integration. ⚠️ Disclaimer: This script is provided for educational purposes only. Past results do not guarantee future performance. Always backtest and forward-test on demo before live trading. 📲 Next Steps: This version demonstrates the GBP/CAD optimisation. The Illyad Strategy can be tuned to work on any symbol (forex, indices, or stocks). 👉 Visit my profile for full automation solutions (TradingView → MT5)
Pine Script™ 전략
acenglish의
Optimised EURGBP (IC Markets, 30m)Illyad Strategy 1.0 – Optimised EURGBP (IC Markets, 30m) Description: This is the Illyad Strategy 1.0 optimised for EURGBP on the 30-minute timeframe (IC Markets feed). 📊 Results (Jan 2024 – Aug 2025): ✅ Total P&L: +£31,032.15 (+31.03%) 📉 Max Drawdown: 2.86% (£3,576.85) 🔁 Total Trades: 39 📈 Win Rate: 58.97% ⚖️ Profit Factor: 2.92 This strategy focuses on controlled drawdown + consistent growth, making it ideal for prop trading challenges and long-term account compounding. 🔧 Optimisation: Works best on the 30m timeframe. Each symbol behaves differently — for maximum performance, you should optimise the parameters (MAs, SL/TP, intensity) to the instrument you want to trade. Example: The EURGBP setup shown here differs from what you’d use on NASDAQ, XAUUSD, or stocks like Tesla. 💡 Best Use Cases: Passing and scaling prop firm accounts (FTMO, AquaFunded, etc.). Automated alerts → MT5 integration (hands-free trading). Consistent, rule-based trading without emotion. ⚠️ Disclaimer: This script is for educational purposes only. Past results don’t guarantee future performance. Always backtest and forward-test on demo before live trading. 📲 Next Steps: This version shows the EURGBP optimisation. If you want to run it on other pairs, indices, or stocks → simply optimise parameters for that symbol. 👉 For full automation (TradingView → MT5 execution), check my profile for details.
Pine Script™ 전략
acenglish의
Illyad Strategy 1.0 - Automate your alerts by connecting to MT5Illyad Strategy 1.0 – Automated Prop Trading System (30m Timeframe) Description: The Illyad Strategy 1.0 is a rule-based automated trading system designed for serious traders and prop-firm challenges. 🔑 Key Features: Optimised to work best on the 30-minute timeframe. Built-in money management to keep drawdown controlled. Dynamic stop-loss / take-profit levels. Works across forex, indices, and stocks. Compatible with TradingView alerts → MT5 automation. ⚙️ Optimisation: Each symbol has its own behaviour. For best results, you should optimise the parameters (moving averages, signal intensity, SL/TP ratios) on the symbol you want to trade. The algo adapts differently to EURUSD vs NASDAQ vs stocks like TSLA, so proper tuning is critical. 💡 Best Use Case: Prop firm accounts (FTMO, MyForexFunds, AquaFunded, etc.). Consistent returns without emotional decision-making. Traders who want to scale multiple accounts at once. ⚠️ Disclaimer: This script is for educational purposes. Past results do not guarantee future returns. Always backtest and forward test on demo before going live. 📲 Next Step: This is the public version. If you’d like to connect it directly to MT5/MT4 for fully automated trading, visit my profile or contact me for details.
Pine Script™ 전략
acenglish의
Quantura - Quantitative AlgorythmIntroduction “Quantura – Quantitative Algorithm” is an invite-only Pine Script strategy designed for multi-timeframe analysis, combining technical filters with user-adjustable fundamental sentiment. It was primarily developed for cryptocurrency markets but can also be applied across other assets such as Forex, stocks, and indices. The goal is to generate structured trade signals through a confluence of techniques rather than relying on a single indicator. Originality & Value Quantura is not a simple mashup of indicators. Its originality comes from how multiple layers of analysis are integrated into a single decision framework . Instead of showing indicators separately, the strategy only issues trades when several conditions align simultaneously: RSI entry triggers confirm overbought/oversold reversals. Market structure on a higher timeframe confirms trend direction. Order block detection highlights zones of concentrated supply and demand. Premium/Discount zones identify potential over- and undervaluation. HTF EMA provides trend confirmation. Optional candlestick patterns strengthen reversal or continuation signals. An optional correlation filter compares the main asset to a reference instrument. This design forces agreement between different methodologies (momentum, structure, value, volume, sentiment), which reduces noise compared to using them in isolation. Functionality & Indicators Entry trigger: RSI exits from extreme zones. Filters: Only valid when all selected filters (HTF structure, EMA, order blocks, premium/discount, candlesticks, correlation, volume) confirm the direction. Fundamental bias: User-defined sentiment and analysis settings (bullish, bearish, neutral) influence whether long or short trades are permitted. Exits: ATR-based take profit and stop loss, with optional breakeven, opposite-signal exit, and session-end exit. Visualization: Buy/Sell markers, trend-colored candles, and an optional dashboard summarizing indicator status. Parameters & Customization Timeframes: Independent HTF and LTF selection. Trading direction: Long / Short / Both. Session and weekday filters. RSI length and thresholds. Filters: HTF structure, order blocks, premium/discount, EMA, candlestick, ATR volatility, volume zones, correlation. Exit rules: ATR multipliers for TP/SL, breakeven logic, session-end exit, opposite-signal exit. Visuals: Toggle signals, candles, dashboard, custom colors. Default Properties (Strategy Settings) Initial Capital: 200,000 USD Position Size: 1 BTC Commission: 0.25% Slippage: enabled (1 tick) Pyramiding: 0 (one position at a time) Note: The position sizing of 1 BTC per trade is intentionally set for backtesting demonstration. Most traders prefer to risk 1-5% of equity. Backtesting & Performance Backtests on BTCUSD (2 years) with the above defaults showed: 103 trades Win rate: 42% Profit factor: 1.3 Maximum drawdown: 10% These results illustrate how the confluence model behaves, but they are not predictive of future performance . Users should re-test with their own preferred symbols, settings, and timeframes. Risk Management ATR-based stops and targets scale with volatility. Commission and slippage are included by default for realistic modeling. Opposite-signal exit helps capture trend reversals. Session-end exit can close intraday positions before illiquid hours. Breakeven option protects profits when available. Although the default allocation uses 1 BTC per trade for demonstration, this is not a recommendation. Users are encouraged to adjust risk sizing downwards to sustainable levels (commonly 1-5%). Limitations & Market Conditions Performs best in volatile, liquid markets (e.g., crypto). May struggle in prolonged sideways markets with low volatility. News events and fundamentals outside user inputs can override signals. Usage Guide Add “Quantura – Quantitative Algorithm” to your chart in strategy mode. Select HTF and LTF timeframes, trading direction, and session filters. Configure confluence filters (structure, EMA, order blocks, premium/discount, candlestick, correlation, volume). Set sentiment and analysis bias in fundamental settings. Adjust ATR multipliers and exits. Review buy/sell signals and analyze performance in the Strategy Tester. Author & Access Developed 100% by Quantura . Distributed as an Invite-Only script . Access is granted upon request. Details are provided in the Author’s Instructions field. Important: This description complies with TradingView’s Script Publishing Rules and House Rules. It does not guarantee profitability, avoids unrealistic claims, and explains how the strategy integrates multiple methods into a coherent decision framework.
Pine Script™ 전략
Quantura의
GMMA ABC Strategy Overview The strategy is built on the Guppy Multiple Moving Average (GMMA) framework with three different entry types (A, B, C). It adds multiple anti-chop filters (ATR, ADX, RSI, box filter, candle filters) to reduce false signals in sideways markets. 🟢 Type A – Structure Breakout Looks for tight EMA compression (spread below threshold). Confirms trend sequence alignment (short > mid > long EMAs for bullish, inverse for bearish). Requires a swing high/low breakout (close above recent high or below recent low). Entry represents a trend reversal breakout after consolidation. Tuning parameters: spreadThresh → how tight EMAs must compress. structLookback → lookback window for swing highs/lows. strictSeq → whether EMA stacking must be strictly ordered or loosely aligned. 🟡 Type B – Trend Continuation Detects strong price bars crossing multiple EMAs (body cross count ≥ threshold). Requires short-term EMAs above mid-term and price above long-term EMAs (for long, opposite for short). Includes anti-chop filters: Minimum GMMA spread (ensures trend is already strong). ADX filter (trend strength). RSI filter (avoid overbought/oversold traps). ADX and RSI can be combined using AND or OR logic. Tuning parameters: bodyThresh → how many EMAs the candle body must cross. minSpreadB → minimum GMMA expansion required. adxMin_B / rsiMinLong_B / rsiMaxShort_B → sensitivity of trend filters. bLogic → whether both ADX and RSI are required (AND) or just one (OR). 🔴 Type C – Momentum Breakout Identifies strong momentum candles crossing multiple EMAs (≥ cross threshold). Candle body must be large relative to ATR (default ≥ 0.8 * ATR). Typically captures impulsive breakout moves. Tuning parameters: crossThresh → number of EMAs crossed in a single bar. atrMultC → required body size relative to ATR. ⚪ Global Filters ATR filter: ensures the candle has enough body size relative to volatility. Candle patterns: Pin bar, Engulfing, Marubozu can override ATR filter. Box filter: suppresses signals when price is trapped inside a small consolidation range. Weekend filter: disables trading on Saturday/Sunday. 📊 Trade Management Stop loss (SL): last swing low (for long) or swing high (for short). Take profits (TP): TP1 = 1R, TP2 = 2R, TP3 = 3R (visual only, not automated exits). Strategy only executes with SL, TP levels are drawn for reference. 🎯 Key Idea Type A = breakout after consolidation (structure break). Type B = continuation of established trend (trend reinforcement). Type C = momentum impulse breakout. Multiple filters (ATR, ADX, RSI, box filter) are combined to reduce false signals in choppy markets. 👉 In short: This is a multi-logic GMMA strategy that adapts to different market phases: Type A for early breakout, Type B for trend continuation, Type C for explosive momentum. And it has strong noise filters to avoid being chopped up in sideways conditions.
Pine Script™ 전략
allen7326288의
SPX EMA 9/21 + VWAP Strategy1. Temporality: 2 minutes. 2. EMA 9 and EMA 21: • Purchase Call: when EMA 9 crosses up EMA 21 and the price is > VWAP. • Put : when EMA 9 crosses down EMA 21 and the price is < VWAP. 3. Stop and Take Profit: • Stop: candle closure on the other side of the VWAP. • TP: configurable in points (e.g. +10 pts, +20 pts) or up to the opposite crossing of EMAs. • Long enters when EMA 9 crosses up 21 and the price is above VWAP. • Short enters when the EMA 9 crosses down the 21 and the price is below VWAP. • TP and SL in SPX points (configurable in inputs). • You can run in 2 minutes on SPX.
Pine Script™ 전략
resaka179의
EMA and BB Analysis for US100 V250829This TradingView strategy generates buy and sell signals based on exponential moving average (EMA) crossovers, limited by other factors such as Bollinger Bands, volume, and EMA distance. It uses EMAs of 16, 24, 32, and 64 periods, as well as the angles of each of these EMAs. Entry Conditions: EMA Crossover Entry: When EMA16 crosses EMA64 and the following conditions are met: EMA16, EMA24, EMA32 are aligned — for a buy signal: EMA16 > EMA24 EMA24 > EMA32 EMA32 > EMA48 (and the opposite for a sell signal) EMA Angles: The angles of the EMAs must also follow the same alignment. Divergence Entry: When the distance between EMAs 16, 24, 32, and 48 increases. Entry Limitations: Once an entry is detected, it is filtered by several conditions: When the distance between the entry candle and EMA96 is more than two candles of the maximum size over three periods. The stop loss is set as two candles of the maximum size over three periods. If this stop loss exceeds 6,000 points (adjustable parameter), the entry is invalid. When the price is at the edge of the Bollinger Band with a 1200-period setting (equivalent to a 1-hour Bollinger Band). When the Bollinger Band's middle line is descending and a buy signal is triggered (and vice versa). When volume drops below a certain threshold. When a sideways market movement is detected. All these entry limitations are configurable parameters and can be enabled or disabled.
Pine Script™ 전략
alasso69의
Neural Fusion Pro v2 — Adaptive Trend Strategy🔥 Neural Fusion Pro v2 — Adaptive Trend Strategy This strategy fuses trend, momentum, volatility, and multi-timeframe analysis into one powerful trading system. It adapts dynamically to market conditions with risk-based position sizing, ATR stop losses, and reward-target exits. ✅ Features: 📈 EMA + RSI Fusion → core entries with adaptive crossover filters. ⏱️ Multi-Timeframe Confirmation → confirm trades with higher timeframe EMA. 📊 ADX Trend Strength Filter → avoids chop, trades only strong trends. ⏰ Session Filter → restricts trading to your chosen market session. 🛡️ ATR-based Stop Loss + Risk/Reward TP. ⚖️ Dynamic Position Sizing → risk % per trade with max position cap. 💡 Equity Curve Display + Alerts → track performance and automate signals. 💡 Best Use Cases: Works across crypto, forex, indices, and stocks. Ideal for trend-followers who want risk-managed signals. Can be combined with manual confirmation for swing or intraday trading.
Pine Script™ 전략
Jaxon007의
Ichimoku + Daily Candle X + Hull MA X + MACD Ichimoku + Daily-Candle X + Hull MA X + Hull‑Based MACD — Strategy Description A high-confluence, multi-indicator strategy that blends trend, momentum, and multi-timeframe confirmation to deliver precision entries for traders of all levels. Core Components & Trading Logic Ichimoku Cloud (Trend Confirmation) Confirms trend direction using Senkou Span A & B. A bullish bias is triggered when Span A > Span B, and bearish when vice versa. Daily Candle Cross (Multi-Timeframe Momentum) Compares today’s daily close with yesterdays. A bullish signal arises when today's price exceeds yesterdays, providing higher-timeframe momentum context. Hull MA Cross (Fast, Smooth Trend Detection) Utilizes Hull Moving Average, known for its rapid responsiveness and smooth behavior. A bullish signal occurs when the current HMA crosses above the previous HMA. Hull-Based MACD (Filtered Momentum) Derived by subtracting a slow HMA from a fast HMA to form the MACD line, with the signal line being another HMA of that difference. Bullish when MACD > Signal. Strategy Benefits Multi-Layer Confirmation: Armed with trend (Ichimoku), momentum (Daily Candle), quick signal (HMA), and noise-filtered momentum (Hull MACD), this approach filters out weak signals for higher-quality entries. Adaptive & Smooth: Hull-based indicators offer the speed of rapid responsiveness while maintaining smoothness—ideal for dynamic market environments. Customizable & Scalable: Easily tweak input parameters to align with your preferred market, timeframe, and risk thresholds.
Pine Script™ 전략
JohnHarry66의
EMA 1/8 Cross - Fixed Pip TP/SLEMA 1/8 Cross – Fixed Pip TP/SL This strategy is based on the crossover between EMA 8 and EMA 14 as trading signals: Long entry → when EMA 1 crosses above EMA 8 Short entry → when EMA 1 crosses below EMA 8 Features: Fixed pip Take Profit (TP) and Stop Loss (SL), fully adjustable in the settings. Customizable EMA Fast/Slow lengths for optimization. Pip size input to match different broker definitions (e.g., XAUUSD often uses 0.10 as one pip). Suitable for testing scalping or swing trading across multiple timeframes. ⚠️ Disclaimer: This script is intended for backtesting and educational purposes only. Please optimize parameters and apply proper risk management before using it on live accounts.
Pine Script™ 전략
milikgroupy_tv의
1
AltCoin & MemeCoin Index Correlation [Eddie_Bitcoin]🧠 Philosophy of the Strategy The AltCoin & MemeCoin Index Correlation Strategy by Eddie_Bitcoin is a carefully engineered trend-following system built specifically for the highly volatile and sentiment-driven world of altcoins and memecoins. This strategy recognizes that crypto markets—especially niche sectors like memecoins—are not only influenced by individual price action but also by the relative strength or weakness of their broader sector. Hence, it attempts to improve the reliability of trading signals by requiring alignment between a specific coin’s trend and its sector-wide index trend. Rather than treating each crypto asset in isolation, this strategy dynamically incorporates real-time dominance metrics from custom indices (OTHERS.D and MEME.D) and combines them with local price action through dual exponential moving average (EMA) crossovers. Only when both the asset and its sector are moving in the same direction does it allow for trade entries—making it a confluence-based system rather than a single-signal strategy. It supports risk-aware capital allocation, partial exits, configurable stop loss and take profit levels, and a scalable equity-compounding model. ✅ Why did I choose OTHERS.D and MEME.D as reference indices? I selected OTHERS.D and MEME.D because they offer a sector-focused view of crypto market dynamics, especially relevant when trading altcoins and memecoins. 🔹 OTHERS.D tracks the market dominance of all cryptocurrencies outside the top 10 by market cap. This excludes not only BTC and ETH, but also major stablecoins like USDT and USDC, making it a cleaner indicator of risk appetite across true altcoins. 🔹 This is particularly useful for detecting "Altcoin Season"—periods where capital rotates away from Bitcoin and flows into smaller-cap coins. A rising OTHERS.D often signals the start of broader altcoin rallies. 🔹 MEME.D, on the other hand, captures the speculative behavior of memecoin segments, which are often driven by retail hype and social media activity. It's perfect for timing momentum shifts in high-risk, high-reward tokens. By using these indices, the strategy aligns entries with broader sector trends, filtering out noise and increasing the probability of catching true directional moves, especially in phases of capital rotation and altcoin risk-on behavior. 📐 How It Works — Core Logic and Execution Model At its heart, this strategy employs dual EMA crossover detection—one pair for the asset being traded and one pair for the selected market index. A trade is only executed when both EMA crossovers agree on the direction. For example: Long Entry: Coin's fast EMA > slow EMA and Index's fast EMA > slow EMA Short Entry: Coin's fast EMA < slow EMA and Index's fast EMA < slow EMA You can disable the index filter and trade solely based on the asset’s trend just to make a comparison and see if improves a classic EMA crossover strategy. Additionally, the strategy includes: - Adaptive position sizing, based on fixed capital or current equity (compound mode) - Take Profit and Stop Loss in percentage terms - Smart partial exits when trend momentum fades - Date filtering for precise backtesting over specific timeframes - Real-time performance stats, equity tracking, and visual cues on chart ⚙️ Parameters & Customization 🔁 EMA Settings Each EMA pair is customizable: Coin Fast EMA: Default = 47 Coin Slow EMA: Default = 50 Index Fast EMA: Default = 47 Index Slow EMA: Default = 50 These control the sensitivity of the trend detection. A wider spread gives smoother, slower entries; a narrower spread makes it more responsive. 🧭 Index Reference The correlation mechanism uses CryptoCap sector dominance indexes: OTHERS.D: Dominance of all coins EXCLUDING Top 10 ones MEME.D: Dominance of all Meme coins These are dynamically calculated using: OTHERS_D = OTHERS_cap / TOTAL_cap * 100 MEME_D = MEME_cap / TOTAL_cap * 100 You can select: Reference Index: OTHERS.D or MEME.D Or disable the index reference completely (Don't Use Index Reference) 💰 Position Sizing & Risk Management Two capital allocation models are supported: - Fixed % of initial capital (default) - Compound profits, which scales positions as equity grows Settings: - Compound profits?: true/false - % of equity: Between 1% and 200% (default = 10%) This is critical for users who want to balance growth with risk. 🎯 Take Profit / Stop Loss Customizable thresholds determine automatic exits: - TakeProfit: Default = 99999 (disabled) - StopLoss: Default = 5 (%) These exits are percentage-based and operate off the entry price vs. current close. 📉 Trend Weakening Exit (Scale Out) If the position is in profit but the trend weakens (e.g., EMA color signals trend loss), the strategy can partially close a configurable portion of the position: - Scale Position on Weak Trend?: true/false - Scaled Percentage: % to close (default = 65%) This feature is useful for preserving profits without exiting completely. 📆 Date Filter Useful for segmenting performance over specific timeframes (e.g., bull vs bear markets): - Filter Date Range of Backtest: ON/OFF - Start Date and End Date: Custom time range OTHER PARAMETERS EXPLANATION (Strategy "Properties" Tab): - Initial Capital is set to 100 USD - Commission is set to 0.055% (The ones I have on Bybit) - Slippage is set to 3 ticks - Margin (short and long) are set to 0.001% to avoid "overspending" your initial capital allocation 📊 Visual Feedback and Debug Tools 📈 EMA Trend Visualization The slow EMA line is dynamically color-coded to visually display the alignment between the asset trend and the index trend: Lime: Coin and index both bullish Teal: Only coin bullish Maroon: Only index bullish Red: Both bearish This allows for immediate visual confirmation of current trend strength. 💬 Real-Time PnL Labels When a trade closes, a label shows: Previous trade return in % (first value is the effective PL) Green background for profit, Red for losses. 📑 Summary Table Overlay This table appears in a corner of the chart (user-defined) and shows live performance data including: Trade direction (yellow long, purple short) Emojis: 💚 for current profit, 😡 for current loss Total number of trades Win rate Max drawdown Duration in days Current trade profit/loss (absolute and %) Cumulative PnL (absolute and %) APR (Annualized Percentage Return) Each metric is color-coded: Green for strong results Yellow/orange for average Red/maroon for poor performance You can select where this appears: Top Left Top Right Bottom Left Bottom Right (default) 📚 Interpretation of Key Metrics Equity Multiplier: How many times initial capital has grown (e.g., “1.75x”) Net Profit: Total gains including open positions Max Drawdown: Largest peak-to-valley drop in strategy equity APR: Annualized return calculated based on equity growth and days elapsed Win Rate: % of profitable trades PnL %: Percentage profit on the most recent trade 🧠 Advanced Logic & Safety Features 🛑 “Don’t Re-Enter” Filter If a trade is closed due to StopLoss without a confirmed reversal, the strategy avoids re-entering in that same direction until conditions improve. This prevents false reversals and repetitive losses in sideways markets. 🧷 Equity Protection No new trades are initiated if equity falls below initial_capital / 30. This avoids overleveraging or continuing to trade when capital preservation is critical. Keep in mind that past results in no way guarantee future performance. Eddie Bitcoin
Pine Script™ 전략
Eddie_Bitcoin의
Script_Algo - High Low Range MA Crossover Strategy🎯 Core Concept This strategy uses modified moving averages crossover, built on maximum and minimum prices, to determine entry and exit points in the market. A key advantage of this strategy is that it avoids most false signals in trendless conditions, which is characteristic of traditional moving average crossover strategies. This makes it possible to improve the risk/reward ratio and, consequently, the strategy's profitability. 📊 How the Strategy Works Main Mechanism The strategy builds 4 moving averages: Two senior MAs (on high and low) with a longer period Two junior MAs (on high and low) with a shorter period Buy signal 🟢: when the junior MA of lows crosses above the senior MA of highs Sell signal 🔴: when the junior MA of highs crosses below the senior MA of lows As seen on the chart, it was potentially possible to make 9X on the WIFUSDT cryptocurrency pair in just a year and a half. However, be careful—such results may not necessarily be repeated in the future. Special Feature Position closing priority ❗: if an opposite signal arrives while a position is open, the strategy first closes the current position and only then opens a new one ⚙️ Indicator Settings Available Moving Average Types EMA - Exponential MA SMA - Simple MA SSMA - Smoothed MA WMA - Weighted MA VWMA - Volume Weighted MA RMA - Adaptive MA DEMA - Double EMA TEMA - Triple EMA Adjustable Parameters Senior MA Length - period for long-term moving averages Junior MA Length - period for short-term moving averages ✅ Advantages of the Strategy 🛡️ False Signal Protection - using two pairs of modified MAs reduces the number of false entries 🔄 Configuration Flexibility - ability to choose MA type and calculation periods ⚡ Automatic Switching - the strategy automatically closes the current position when receiving an opposite signal 📈 Visual Clarity - all MAs are displayed on the chart in different colors ⚠️ Disadvantages and Risks 📉 Signal Lag - like all MA-based strategies, it may provide delayed signals during sharp movements 🔁 Frequent Switching - in sideways markets, it may lead to multiple consecutive position openings/closings 📊 Requires Optimization - optimal parameters need to be selected for different instruments and timeframes 💡 Usage Recommendations Backtest - test the strategy's performance on historical data Optimize Parameters - select MA periods suitable for the specific trading instrument Use Filters - add additional filters to confirm signals Manage Risks - always use stop-loss and take-profit orders. You can safely connect to the exchange via webhook and enjoy trading. Good luck and profits to everyone!!
Pine Script™ 전략
Script_Algo의