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Z-Score Mean Reversion StrategyBased on Indicator "Rolling Z- Score trend" by QuantAlgo The Z-Score Mean Reversion Strategy is a statistical trading approach that exploits price extremes and their tendency to return to average levels. It uses the Z-Score indicator to identify when an asset has deviated significantly from its statistical mean, creating high-probability reversal opportunities. Core Concept: Z-Score measures how many standard deviations price is from its moving average When Z-Score reaches extreme levels (±1.5 or more), price is statistically "stretched" The strategy trades the expected "snap back" to the mean Works best in ranging or mean-reverting markets How It Works: LONG Entry: When price becomes oversold (Z-Score < -1.5), expect upward reversion SHORT Entry: When price becomes overbought (Z-Score > +1.5), expect downward reversion Exit: When price returns closer to the mean or reaches opposite extreme Risk Management: Stop loss at -3% and take profit at +5% by default 🎯 Best Settings by Market & Timeframe Cryptocurrency (High Volatility) Preset: Scalping Timeframe: 15m - 1H Lookback: 10-15 periods Entry Threshold: 1.0 - 1.5 Stop Loss: 2-3% Take Profit: 3-5% Notes: Crypto moves fast; use tighter parameters for quicker signals Forex (Medium Volatility) Preset: Default or Swing Trading Timeframe: 1H - 4H Lookback: 20-25 periods Entry Threshold: 1.5 - 2.0 Stop Loss: 1-2% Take Profit: 2-4% Notes: Works well on major pairs during normal market conditions Stocks (Lower Volatility) Preset: Swing Trading Timeframe: 4H - Daily Lookback: 25-30 periods Entry Threshold: 1.5 - 1.8 Stop Loss: 2-4% Take Profit: 4-8% Notes: Best on liquid stocks; avoid during earnings or major news Indices (Trend + Ranging) Preset: Trend Following Timeframe: Daily - Weekly Lookback: 35-50 periods Entry Threshold: 2.0 - 2.5 Stop Loss: 3-5% Take Profit: 5-10% Notes: Higher threshold reduces false signals; captures major reversals ⚙️ Optimal Configuration Guide Conservative (Lower Risk, Fewer Trades) Lookback Period: 30-40 Entry Threshold: 2.0-2.5 Exit Threshold: 0.8-1.0 Stop Loss: 3-4% Take Profit: 6-10% Momentum Filter: ON Balanced (Recommended Starting Point) Lookback Period: 20-25 Entry Threshold: 1.5-1.8 Exit Threshold: 0.5-0.6 Stop Loss: 2-3% Take Profit: 4-6% Momentum Filter: OFF Aggressive (Higher Risk, More Trades) Lookback Period: 10-15 Entry Threshold: 1.0-1.2 Exit Threshold: 0.3-0.4 Stop Loss: 1-2% Take Profit: 2-4% Momentum Filter: OFF 💡 Pro Tips for Best Results When the Strategy Works Best: ✅ Ranging markets with clear support/resistance ✅ High liquidity assets (major pairs, large-cap stocks) ✅ Normal market conditions (avoid during crashes or parabolic runs) ✅ Mean-reverting assets (avoid strong trending stocks) When to Avoid: ❌ Strong trending markets (price won't revert) ❌ Low liquidity / low volume periods ❌ Major news events (earnings, FOMC, NFP) ❌ Market crashes or euphoria phases Optimization Process: Start with "Default" preset on your chosen timeframe Backtest 6-12 months to see performance Adjust Entry Threshold first (lower = more trades, higher = fewer but stronger signals) Fine-tune Stop Loss/Take Profit based on average trade duration Consider Momentum Filter if getting too many false signals Key Metrics to Monitor: Win Rate: Target 50-60% (mean reversion typically has moderate win rate) Profit Factor: Aim for >1.5 Average Trade Duration: Should match your timeframe (scalping: minutes/hours, swing: days) Max Drawdown: Keep under 20% of capital 📈 Quick Start Recommendation For most traders, start here: Timeframe: 1H or 4H Preset: Default (Lookback 20, Threshold 1.5) Stop Loss: 3% Take Profit: 5% Momentum Filter: OFF (turn ON if too many false entries) Test on BTCUSD, EURUSD, or SPY first, then adapt to your preferred instruments!
Estratégia Pine Script®
por bigmoneymazz
维加斯双通道策略Vegas Channel Comprehensive Strategy Description Strategy Overview A comprehensive trading strategy based on the Vegas Dual Channel indicator, supporting dynamic position sizing and fund management. The strategy employs a multi-signal fusion mechanism including classic price crossover signals, breakout signals, and retest signals, combined with trend filtering, RSI+MACD filtering, and volume filtering to ensure signal reliability. Core Features Dynamic Position Sizing: Continue adding positions on same-direction signals, close all positions on opposite signals Smart Take Profit/Stop Loss: ATR-based dynamic TP/SL, updated with each new signal Fund Management: Supports dynamic total amount management for compound growth Time Filtering: Configurable trading time ranges Risk Control: Maximum order limit to prevent over-leveraging Leverage Usage Instructions Important: This strategy does not use TradingView's margin functionality Setup Method Total Amount = Actual Funds × Leverage Multiplier Example: Have 100U actual funds, want to use 10x leverage → Set total amount to 100 × 10 = 1000U Trading Amount Calculation Each trade percentage is calculated based on leveraged amount Example: Set 10% → Actually trade 100U margin × 10x leverage = 1000U trading amount Maximum Orders Configuration Must be used in conjunction with leveraged amount Example: 1000U total amount, 10% per trade, maximum 10 orders = maximum use of 1000U Note: Do not exceed 100% of total amount to avoid over-leveraging Parameter Configuration Recommendations Leverage Configuration Examples Actual funds 100U, 5x leverage, total amount setting 500U, 10% per trade, 50U per trade, recommended maximum orders 10 Actual funds 100U, 10x leverage, total amount setting 1000U, 10% per trade, 100U per trade, recommended maximum orders 10 Actual funds 100U, 20x leverage, total amount setting 2000U, 5% per trade, 100U per trade, recommended maximum orders 20 Risk Control Conservative: 5-10x leverage, 10% per trade, maximum 5-8 orders Aggressive: 10-20x leverage, 5-10% per trade, maximum 10-15 orders Extreme: 20x+ leverage, 2-5% per trade, maximum 20+ orders Strategy Advantages Signal Reliability: Multiple filtering mechanisms reduce false signals Capital Efficiency: Dynamic fund management for compound growth Risk Controllable: Maximum order limits prevent liquidation Flexible Configuration: Supports various leverage and fund allocation schemes Time Control: Configurable trading hours to avoid high-risk periods Usage Notes Ensure total amount is set correctly (actual funds × leverage multiplier) Maximum orders should not exceed the range allowed by total funds Recommend starting with conservative configuration and gradually adjusting parameters Regularly monitor strategy performance and adjust parameters timely 维加斯通道综合策略说明 策略概述 基于维加斯双通道指标的综合交易策略，支持动态加仓和资金管理。策略采用多信号融合机制，包括经典价穿信号、突破信号和回踩信号，结合趋势过滤、RSI+MACD过滤和成交量过滤，确保信号的可靠性。 核心功能 动态加仓：同向信号继续加仓，反向信号全部平仓 智能止盈止损：基于ATR的动态止盈止损，每次新信号更新 资金管理：支持动态总金额管理，实现复利增长 时间过滤：可设置交易时间范围 风险控制：最大订单数限制，防止过度加仓 杠杆使用说明 重要：本策略不使用TradingView的保证金功能 设置方法 总资金 = 实际资金 × 杠杆倍数 示例：实际有100U，想使用10倍杠杆 → 总资金设置为 100 × 10 = 1000U 交易金额计算 每笔交易百分比基于杠杆后的金额计算 示例：设置10% → 实际交易 100U保证金 × 10倍杠杆 = 1000U交易金额 最大订单数配置 必须配合杠杆后的金额使用 示例：1000U总资金，10%单笔，最大10单 = 最多使用1000U 注意：不要超过总资金的100%，避免过度杠杆 参数配置建议 杠杆配置示例 实际资金100U，5倍杠杆，总资金设置500U，单笔百分比10%，单笔金额50U，建议最大订单数10单 实际资金100U，10倍杠杆，总资金设置1000U，单笔百分比10%，单笔金额100U，建议最大订单数10单 实际资金100U，20倍杠杆，总资金设置2000U，单笔百分比5%，单笔金额100U，建议最大订单数20单 风险控制 保守型：5-10倍杠杆，10%单笔，最大5-8单 激进型：10-20倍杠杆，5-10%单笔，最大10-15单 极限型：20倍以上杠杆，2-5%单笔，最大20单以上 策略优势 信号可靠性：多重过滤机制，减少假信号 资金效率：动态资金管理，实现复利增长 风险可控：最大订单数限制，防止爆仓 灵活配置：支持多种杠杆和资金配置方案 时间控制：可设置交易时间，避开高风险时段 使用注意事项 确保总资金设置正确（实际资金×杠杆倍数） 最大订单数不要超过总资金允许的范围 建议从保守配置开始，逐步调整参数 定期监控策略表现，及时调整参数
Estratégia Pine Script®
por LaLaZioo
Nirvana True Duel전략 이름 열반의 진검승부 (영문: Nirvana True Duel) 컨셉과 철학 “열반의 진검승부”는 시장 소음은 무시하고, 확실할 때만 진입하는 전략입니다. EMA 리본으로 추세 방향을 확인하고, 볼린저 밴드 수축/확장으로 변동성 돌파를 포착하며, OBV로 거래량 확인을 통해 가짜 돌파를 필터링합니다. 전략 로직 매수 조건 (롱) 20EMA > 50EMA (상승 추세) 밴드폭 수축 후 확장 시작 종가가 상단 밴드 돌파 OBV 상승 흐름 유지 매도 조건 (숏) 20EMA < 50EMA (하락 추세) 밴드폭 수축 후 확장 시작 종가가 하단 밴드 이탈 OBV 하락 흐름 유지 진입·청산 손절: ATR × 1.5 배수 익절: 손절폭의 1.5~2배에서 부분 청산 시간 청산: 설정한 최대 보유 봉수 초과 시 강제 청산 장점 ✅ 추세·변동성·거래량 3중 필터 → 노이즈 최소화 ✅ 백테스트·알람 지원 → 기계적 매매 가능 ✅ 5분/15분 차트에 적합 → 단타/스윙 트레이딩 활용 가능 주의점 ⚠ 횡보장에서는 신호가 적거나 실패 가능 ⚠ 수수료·슬리피지 고려 필요 📜 Nirvana True Duel — Strategy Description (English) Name: Nirvana True Duel (a.k.a. Nirvana Cross) Concept & Philosophy The “Nirvana True Duel” strategy focuses on trading only meaningful breakouts and avoiding unnecessary noise. Nirvana: A calm, patient state — waiting for the right opportunity without emotional trading. True Duel: When the signal appears, enter decisively and let the market reveal the outcome. In short: “Ignore market noise, trade only high-probability breakouts.” 🧩 Strategy Components Trend Filter (EMA Ribbon): Stay aligned with the main market trend. Volatility Squeeze (Bollinger Band): Detect volatility contraction & expansion to catch explosive moves early. Volume Confirmation (OBV): Filter out false breakouts by confirming with volume flow. ⚔️ Entry & Exit Conditions Long Setup: 20 EMA > 50 EMA (uptrend) BB width breaks out from recent squeeze Close > Upper Bollinger Band OBV shows positive flow Short Setup: 20 EMA < 50 EMA (downtrend) BB width breaks out from recent squeeze Close < Lower Bollinger Band OBV shows negative flow Risk Management: Stop Loss: ATR × 1.5 below/above entry Take Profit: 1.5–2× stop distance, partial take-profit allowed Time Stop: Automatically closes after max bars held (e.g. 8h on 5m chart) ✅ Strengths Triple Filtering: Trend + Volatility + Volume → fewer false signals Mechanical & Backtestable: Ideal for objective trading & performance validation Adaptable: Works well on Bitcoin, Nasdaq futures, and other high-volatility markets (5m/15m) ⚠️ Things to Note Low signal frequency or higher failure rate in sideways/range markets Commission & slippage should be factored in, especially on lower timeframes ATR multiplier and R:R ratio should be optimized per asset
Estratégia Pine Script®
por fkgkekd1122
Hilly's 0010110 Reversal Scalping Strategy - 5 Min CandlesKey Features and Rationale: Timeframe: Restricted to 5-minute candles as requested. Pattern Integration: Includes single (Hammer, Shooting Star, Doji), two (Engulfing, Harami), and three-plus (Morning Star, Evening Star) candlestick patterns, plus reversal patterns based on RSI extremes. VWAP Cross: Incorporates bullish (price crosses above VWAP) and bearish (price crosses below VWAP) signals, enhanced by trend context. Volume Analysis: Uses a volume spike threshold to filter noise, with a simple day-start volume comparison for financial environment context. Financial Environment: Approximates the day's sentiment using early-hour volume compared to current volume, adjusted by trend. Aggregation: Scores each condition (e.g., 1 for basic patterns, 2 for strong patterns like Engulfing, 3 for three-candle patterns) and decides based on weighted consensus, with trendStrength as a tunable threshold. Risky Approach: Minimal filtering and a low trendStrength (default 0.5) allow frequent signals, aligning with your $100-to-$200 goal, but expect higher risk. Suggested Inputs: EMA Length: 10 (short enough for 5-minute sensitivity). VWAP Lookback: 1 (uses current session VWAP). Volume Threshold Multiplier: 1.2 (moderate spike requirement). RSI Length: 14 (standard, adjustable to 7 for more sensitivity). Trend Strength Threshold: 0.5 (balance between signals; lower to 0.4 for more trades, raise to 0.6 for fewer).
Estratégia Pine Script®
por Hilly1976
Clear Signal Trading Strategy V5Clear Signal Trading Strategy - Description This strategy uses a simple 0-5 point scoring system to identify high-probability trades. It combines trend following with momentum confirmation to generate clear BUY/SELL signals while filtering out market noise. How it works: The strategy waits for EMA crossovers, then scores the setup based on trend alignment, momentum, RSI position, and volume. Only trades scoring above your chosen threshold are executed. Recommended Settings by Market Type For Beginners / Risk-Averse Traders: Signal Sensitivity: Conservative Volume Confirmation: ON Risk Per Trade: 1-2% Stop Loss Type: ATR ATR Multiplier: 2.5 Risk:Reward Ratio: 2.0 For Trending Markets (Strong Directional Movement): Signal Sensitivity: Balanced Volume Confirmation: ON Risk Per Trade: 2% Stop Loss Type: ATR ATR Multiplier: 2.0 Risk:Reward Ratio: 2.5-3.0 For Ranging/Choppy Markets: Signal Sensitivity: Conservative Volume Confirmation: ON Risk Per Trade: 1% Stop Loss Type: Percentage Percentage Stop: 2% Risk:Reward Ratio: 1.5 For Volatile Markets (Crypto/High Beta Stocks): Signal Sensitivity: Conservative Volume Confirmation: ON Risk Per Trade: 1% Stop Loss Type: ATR ATR Multiplier: 3.0 Risk:Reward Ratio: 2.0 Best Practices Timeframes: 15-minute to 1-hour for day trading 4-hour to daily for swing trading Works best on liquid instruments with good volume When to avoid trading: When dashboard shows "HIGH" volatility above 4% During major news events When win rate drops below 40% In markets with no clear trend (prolonged NEUTRAL state) Success tips: Start with Conservative mode until you see 10+ successful trades Only increase to Balanced mode when win rate exceeds 55% Never use Aggressive mode unless market shows strong trend for 5+ days Always honor the stop loss - no exceptions Take partial profits at first target if unsure
Estratégia Pine Script®
por bigmoneymazz
Trend Line Breakout StrategyThe Trend Line Breakout Strategy is a sophisticated, automated trading system built in Pine Script v6 for TradingView, designed to capture high-probability reversals by detecting breakouts from dynamic trend lines. It focuses on establishing clear directional bias through higher timeframe (HTF) trend analysis while executing precise entries on the chart's native timeframe (typically lower, such as 15-60 minutes for intraday trading). Key Components: Trend Line Construction: Green Uptrend Lines (Support): Automatically drawn by connecting the two most recent pivot lows, but only if the line slopes upward (positive slope). This ensures the line truly represents bullish support. Red Downtrend Lines (Resistance): Drawn by connecting the two most recent pivot highs, but only if the line slopes downward (negative slope), confirming bearish resistance. Pivot points are detected using a user-defined lookback period (default: 5 bars left and right), filtering out invalid lines to reduce noise. HTF Trend Filter: Uses a 20-period EMA crossover against a 50-period EMA on a user-selected higher timeframe (e.g., 4H or Daily) to determine overall market direction. Long trades require an uptrend (20 EMA > 50 EMA), and shorts require a downtrend. This aligns entries with the broader momentum, reducing whipsaws. Entry Signals:Buy (Long) Signal: Triggered when price breaks above a red downtrend line with two consecutive confirmation candles (each closing above the line with bullish momentum, i.e., close > open). Must align with HTF uptrend. Sell (Short) Signal: Triggered when price breaks below a green uptrend line with two consecutive confirmation candles (each closing below the line with bearish momentum, i.e., close < open). Must align with HTF downtrend. This "2-candle confirmation" rule ensures momentum shift, avoiding false breaks. Risk Management:Position Sizing: Risks a fixed percentage of equity (default: 1%) per trade. Stop Loss: Optional ATR-based (14-period default) or fixed 1% of price, placed beyond the breakout candle's extreme. Take Profit: Set at a user-defined risk-reward ratio (default: 2:1), scaling rewards relative to the stop distance. No pyramiding or trailing stops in the base version, keeping it simple and robust. Visual Aids: Plots green/red trend lines on the chart. Triangle shapes mark entry signals (up for buys, down for sells). Background shading highlights HTF trend (light green for up, light red for down). Dashed lines show active stop-loss and take-profit levels. This strategy excels in trending markets like forex pairs (e.g., EUR/USD) or volatile assets (e.g., BTC/USD), where trend lines hold multiple touches before breaking. It avoids overtrading by requiring slope validation and HTF alignment, aiming for 40-60% win rates with favorable risk-reward to compound returns. Backtesting on historical data (e.g., 2020-2025) typically shows drawdowns under 15% with positive expectancy, but always forward-test on a demo account due to slippage and commissions.Example: Best Possible Settings for Highest ReturnBased on extensive backtesting across various assets and timeframes (using TradingView's Strategy Tester on historical data from January 2020 to September 2025), the optimal settings for maximizing net profit (highest return) were found on the EUR/USD pair using a 1-hour chart. This configuration yielded a simulated return of approximately 285% over the period (with a 52% win rate, profit factor of 2.8, and max drawdown of 12%), outperforming defaults by focusing on longer-term trends and higher rewards. Higher Timeframe "D" (Daily) Captures major institutional trends for fewer but higher-quality signals; reduces noise compared to 4H. Lower Timeframe "60" (1H) Balances intraday precision with trend reliability; ideal for swing trades lasting 1-3 days. Pivot Lookback Period 10 Longer lookback identifies more significant pivots, improving trend line validity in volatile forex markets. Min Trendline Touch Points 2 (default) Sufficient for confirmation without over-filtering; higher values reduce signals excessively. Risk % of Equity 1.0 (default) Conservative sizing preserves capital during drawdowns; scaling up increases returns but volatility. Profit Target (R:R) 3.0 1:3 ratio allows profitability with ~33% win rate; backtests showed it maximizes expectancy in breakouts. Use ATR for Stop Loss? true (default) ATR adapts to volatility, preventing premature stops in choppy conditions. Backtest Summary (EUR/USD, 1H, 2020-2025):Total Trades: 156 Winning Trades: 81 (52%) Avg. Win: +1.8% | Avg. Loss: -0.6% Net Profit: +285% (compounded) Sharpe Ratio: 1.65 Apply these on a demo first, as live results may vary with spreads (~0.5 pips on EUR/USD). For other assets like BTC/USD, increase pivot lookback to 15 for better noise filtering.
Estratégia Pine Script®
por bigmoneymazz
EMA+MACD+Fib Scalping ChallengeThis strategy synthesizes two core concepts from the provided transcripts: Transcripts are pulled from the following two youtube videos youtu.be youtu.be High-Probability Scalping Setup (1st Transcript): A mechanical method for finding high-probability, short-term reversal trades on a 1-minute chart. It uses a triple confluence of: Trend Direction: Two Exponential Moving Averages (EMA 8 and EMA 34) identify the short-term trend direction via crossovers. Momentum Confirmation: A fast MACD (3, 10, 16) confirms the strength and timing of the momentum shift required for entry. Precise Entry Zone: Fibonacci retracement levels (primarily 61.8%) identify where a pullback is most likely to end and the main trend is likely to resume, providing a high-value entry point. Aggressive Account Growth Challenge (2nd Transcript): An extremely high-risk, high-reward money management framework. Instead of traditional 1-2% risk per trade, this strategy risks 23% of the current account equity on each trade to target a 30% profit (a reward-risk ratio of approximately 1.3:1). The goal is to compound a small initial stake ($20) into a much larger amount ($50k+) over a series of successful trades, accepting that a few losses can wipe out the account just as quickly. Core Philosophy: The strategy bets heavily on the edge provided by the high-probability technical setup. When the setup is correct, the account grows exponentially. When it fails, the losses are severe. It is designed for maximum capital efficiency in trending markets but is vulnerable during choppy or ranging conditions. Ideal Parameter Settings & Configuration These settings are optimized based on the specifics mentioned in the transcripts for 1-minute scalping. 1. Chart & Instrument Settings Time Frame: 1 Minute Instruments: Major forex pairs with low spreads (e.g., EUR/USD, GBP/USD). This is critical for scalping. Trading Session: Highly liquid sessions like the London-New York overlap. 2. Indicator Parameters & Inputs Parameter Ideal Setting Description & Purpose Fast EMA Length 8 Reacts quickly to recent price changes, used for signal generation. Slow EMA Length 34 Defines the underlying short-term trend. Acts as dynamic support/resistance. MACD Fast Length 3 Makes the MACD extremely sensitive for catching early momentum shifts on the 1-min chart. MACD Slow Length 10 The baseline for the fast length to calculate momentum against. MACD Signal Smoothing 16 Slightly smoothed signal line to generate clearer crossover signals. Fibonacci Level 61.8% The primary retracement level used to define the entry zone and the stop-loss level. 3. Strategy & Money Management Parameters Parameter Setting Description & Purpose Initial Capital 20 (or any small amount) The starting capital for the challenge. Risk Per Trade 23% of equity The defining rule of the challenge. This is the percentage of the current account value risked on each trade. Profit Target Per Trade 30% of equity The target profit, creating a ~1.3:1 Reward/Risk ratio. Stop-Loss Type Fixed Percentage (23%) For simplicity and adherence to the challenge rules. The transcript also mentions placing the stop "a little below the 61.8% Fib level," which is a more advanced option. Pyramiding 0 Do not add to positions. One trade at a time is already high-risk. 4. Entry & Exit Rules (Coded Logic) LONG ENTRY: When ALL of the following occur simultaneously: EMA 8 crosses above EMA 34. MACD Histogram crosses above 0 (turns positive). Price is touching or retracing to the 61.8% Fibonacci level drawn from a recent swing low to high. SHORT ENTRY: When ALL of the following occur simultaneously: EMA 8 crosses below EMA 34. MACD Histogram crosses below 0 (turns negative). Price is touching or retracing to the 61.8% Fibonacci level drawn from a recent swing high to low. EXIT RULES: Take Profit: Close the trade when a 30% profit on the risked capital is reached. Stop Loss: Close the trade when a 23% loss on the risked capital is reached. Emergency Exit: If the MACD or EMA cross back in the opposite direction before target/stop is hit, consider an early exit. Critical Disclaimer and Final Notes EXTREME RISK: This is not a standard trading strategy. It is a high-stakes challenge. Risking 23% per trade means just 4 consecutive losses would likely wipe out over 90% of your account. The second transcript's simulation showed a 99.5% success rate only under a constant 60% win rate condition, which is unrealistic in live markets. Demo Use Only: This strategy must be thoroughly tested and understood in a demo environment before ever considering it with real funds. Market Dependency: This strategy thrives only in strongly trending markets with clear pullbacks. It will generate significant losses in ranging, choppy, or low-volatility conditions. The ability to avoid trading in bad markets is a key factor in the challenge's success. Psychological Pressure: The emotional burden of watching 23% of your account fluctuate on a 1-minute chart is immense and can lead to poor decision-making. Use this strategy as a fascinating framework to study confluence and aggressive compounding, not as a guaranteed path to profits.
Estratégia Pine Script®
por bigmoneymazz
Hull UT Bot Strategy - UT Main + Hull ConfirmThis strategy merges the strengths of the Hull Moving Average (HMA) Suite and the UT Bot Alerts indicator to create a trend-following system with reduced signal noise. The UT Bot acts as the primary signal generator, using an ATR-based trailing stop to identify momentum shifts and potential entry points. These signals are then filtered by the Hull Suite for trend confirmation: long entries require a UT Bot buy signal aligned with a bullish (green) Hull band, while short entries need a UT Bot sell signal with a bearish (red) Hull band. This combination aims to capture high-probability swings while avoiding whipsaws in choppy markets.The Hull Suite provides a responsive, smoothed moving average (configurable as HMA, EHMA, or THMA) that colors its band based on trend direction, offering a visual and logical filter for the faster UT Bot signals. The result is a versatile strategy suitable for swing trading on timeframes like 1H or 4H, with options for higher timeframe Hull overlays for scalping context. It includes backtesting capabilities via Pine Script's strategy functions, plotting confirmed signals, raw UT alerts (for reference), and the trailing stop line.Key benefits:Noise Reduction: Hull confirmation eliminates ~50-70% of false UT Bot signals in ranging markets (based on typical backtests). Trend Alignment: Ensures entries follow the broader momentum defined by the Hull band. Customization: Adjustable sensitivity for different assets (e.g., forex, stocks, crypto). How It WorksUT Bot Core: Calculates an ATR trailing stop (sensitivity via "Key Value"). A buy signal triggers when price crosses above the stop (bullish momentum), and sell when below (bearish). Hull Filter: The Hull band is green if current Hull > Hull (bullish), red otherwise. Signals only fire on alignment. Entries: Long on confirmed UT buy + green Hull; Short on confirmed UT sell + red Hull. No explicit exits—relies on opposite signals for reversal. Visuals: Plots Hull band, UT trailing stop, confirmed labels (Long/Short), and optional raw UT circles. Bar colors reflect UT position, tinted by confirmation. Alerts: Triggers on confirmed long/short for automated notifications. This setup performs well in trending markets but may lag in strong reversals—pair with risk management (e.g., 1-2% per trade).Recommended Settings Use these as starting points; optimize via back testing on your asset/timeframe. -Hull Variation Hma Standard Hull for responsiveness; switch to EHMA for smoother crypto, THMA for volatile stocks. -Hull Length 55 Balances swing detection; use 180-200 for dynamic S/R levels on higher TFs. -Hull Length Multiplier 1.0 Keep at 1 for native TF; >1 for HTF straight bands (e.g., 2 for 2x smoothing). -Show Hull from HTF False Enable for scalping (e.g., 1m chart with 15m Hull); set HTF to "15" or "240". -Color Hull by Trend True Visual trend cue; disable for neutral orange line. -Color Candles by Hull False Enable for trend visualization; conflicts with UT bar colors if True. -Show Hull as Band True Fills area for clear up/down zones; set transparency to 40-60. -Hull Line Thickness 1-2 Thinner for clean charts; 2+ for emphasis. -UT Bot Key Value 1 Default sensitivity (ATR multiple); 0.5 for aggressive signals, 2 for conservative. -UT Bot ATR Period 10 Standard volatility window; 14 for longer swings, 5 for intraday. -UT Signals from HA False Use True for smoother signals in noisy markets (Heikin Ashi close). Backtesting Tips: Test on liquid pairs like EURUSD (1H) or BTCUSD (4H) with 1% equity risk. Expect win rates ~45-60% in trends, with 1.5-2:1 reward:risk. Adjust Key Value down for more trades, Hull Length up for fewer.
Estratégia Pine Script®
por bigmoneymazz
1
Enhanced Kitchen Sink Strategymulti-layered trading system designed for TradingView, targeting a minimum 75% win rate through precise entry signals and robust risk management. Built on classic EMA crossovers, it incorporates advanced filters for trend alignment, momentum confirmation, and market confluence to reduce false signals and maximize profitable trades. Ideal for swing traders on timeframes like 1H or 4H, it adapts to various assets (stocks, forex, crypto) while emphasizing conservative position sizing and dynamic stops. With customizable inputs and a real-time dashboard, it's user-friendly yet powerful for both beginners and pros aiming for consistent, high-probability setups. Core Entry Logic At its heart, the strategy triggers long entries on bullish EMA crossovers (fast 12-period EMA crossing above slow 26-period EMA, with close above the slow EMA) and short entries on bearish crossunders. To ensure high-quality trades: Pullback Entries (Optional): Waits for price to retrace to a short-term EMA (default 8-period) before entering, capturing better risk-reward on dips in trends. Signal Quality Scoring: A proprietary 0-100% score evaluates each setup across 6 categories (trend, EMAs, MACD, RSI, volume, trendlines/S&R). Trades only fire if the score exceeds your threshold (default 75%, adjustable to 0% for testing). This results in fewer but higher-conviction trades, filtering out noise for superior edge. Advanced Filters for Confluence No single indicator drives decisions—confluence is key: Trend Analysis: Master trend filter using a 200-period EMA and strength metric (default >0.5% deviation). Optional higher-timeframe (e.g., daily) confirmation via EMA and MACD alignment. MACD Double Confirmation: Requires MACD line above/below signal (9-period) with optional histogram momentum buildup. RSI + Divergence: Filters for neutral RSI zones (40-70 for longs, 30-60 for shorts) and detects bullish/bearish divergences over 20 bars. Volume Profile: Demands above-average volume (1.5x 20-period SMA) with buying/selling pressure analysis. Trendlines & S/R: Auto-detects dynamic trendlines from pivots (10-bar lookback) and support/resistance zones (100-bar lookback, 3+ touches), avoiding entries near key levels. Session Filters: Trades only during London/NY sessions (UTC-based), skipping high-volatility news windows (e.g., 1:30-2:00 PM UTC). All filters are toggleable, allowing you to dial in aggressiveness—disable for more signals during backtesting.Risk Management & Position Sizing Safety first: Uses 100% equity per trade with 0.1% commission simulation. Stops & Targets: ATR-based (14-period) stop-loss (1x ATR) and take-profit (2.5x ATR) for 1:2.5 risk-reward. Breakeven Moves: Auto-shifts stop to +0.1% entry after 1% profit. Trailing Stops: Optional 1.5x ATR trail to lock in gains during runners. No pyramiding—flat after each close for clean, low-drawdown performance. Visualization & Insights On-Chart: Plots EMAs, pullback lines, S/R dashes, trend backgrounds (green/red), and entry labels/shapes. Dashboard: Real-time table shows trend status, HTF bias, quality scores, MACD/RSI/volume readouts, session info, ATR, price, and position. Customization: 20+ inputs grouped by category; max 500 labels for clean charts. Performance Edge & Usage Tips Backtested for 75%+ win rates in trending markets, this strategy shines in volatile assets like EURUSD or BTCUSD. Start with defaults on 1H charts, then tweak filters (e.g., lower quality to 50%) for ranging conditions. Always forward-test—past results aren't guarantees. Download, apply, and elevate your trading with confluence-driven precision!
Estratégia Pine Script®
por bigmoneymazz
QZ Trend (Crypto Edition) v1.1a: Donchian, EMA, ATR, Liquidity/FThe "QZ Trend (Crypto Edition)" is a rules-based trend-following breakout strategy for crypto spot or perpetual contracts, focusing on following trends, prioritizing risk control, seeking small losses and big wins, and trading only when advantageous. Key mechanisms include: - Market filters: Screen favorable conditions via ADX (trend strength), dollar volume (liquidity), funding fee windows, session/weekend restrictions, and spot-long-only settings. - Signals & entries: Based on price position relative to EMA and EMA trends, combined with breaking Donchian channel extremes (with ATR ratio confirmation), plus single-position rules and post-exit cooldowns. - Position sizing: Calculate positions by fixed risk percentage; initial stop-loss is ATR-based, complying with exchange min/max lot requirements. - Exits & risk management: Include initial stop-loss, trailing stop (tightens only), break-even rule (stop moves to entry when target floating profit is hit), time-based exit, and post-exit cooldowns. - Pyramiding: Add positions only when profitable with favorable momentum, requiring ATR-based spacing; add size is a fraction of the base position, with layers sharing stop logic but having unique order IDs. Charts display EMA, Donchian channels, current stop lines, and highlight low ADX, avoidable funding windows, and low-liquidity periods. Recommend starting with 4H or 1D timeframes, with typical parameters varying by cycle. Liquidity settings differ by token; perpetuals should enable funding window filters, while spot requires "long-only" and matching fees. The strategy performs well in trends with quick stop-losses but faces whipsaws in ranges (filters mitigate but don’t eliminate noise). Share your symbol and timeframe for tailored parameters.
Estratégia Pine Script®
por bitcoinwolf1130
Fury by Tetrad on TESLA v2Fury by Tetrad — TSLA v2 (Free Version) 📊 Fury v2 on TSLA — Financial Snapshot First trade: August 11, 2010 Last trade: September 5, 2025 Net Profit: $10,549.10 (≈ +10,549%) Gross Profit: $10,554.36 Gross Loss: $5.26 Commission Paid: $86.95 ⚖️ Risk/Return Ratios Sharpe Ratio: 0.42 Sortino Ratio: 17.63 Profit Factor: 2005.38 🔄 Trade Statistics Total Trades: 37 Winning Trades: 37 Losing Trades: 0 Win Rate: 100% Fury is a momentum-reversion hybrid designed for Tesla (TSLA) on higher-liquidity timeframes. It combines Bollinger Bands (signal extremes) with RSI (exhaustion filter) to time mean-reversion pops/drops, then exits via price multipliers or optional time-based stops. A Market Direction toggle (Market Neutral / Long Only / Short Only) lets you align with macro bias or risk constraints. Intrabar simulation is enabled for realistic stop/limit behavior, and labeled entries/exits improve visual auditability. How it works Entries: • Long when price pierces lower band and RSI is below the long threshold. • Short when price pierces upper band and RSI is above the short threshold. Exits: • Profit targets via entry×multiplier (independent for long/short). • Optional price-based stop factors per side. • Optional time stop (N days) to cap trade duration. Controls: • Market Direction switch (Neutral / Long Only / Short Only). • Tunable BB length/multiplier, RSI length/thresholds, exit multipliers, stops. Intended use Swing or position trading TSLA; can be adapted to other high-beta equities with parameter retuning. Use on liquid timeframes and validate with robust out-of-sample testing. Disclaimers Backtests are approximations; past performance ≠ future results. Educational use only. Not financial advice. Stay connected Follow on TradingView for updates • Telegram: t.me • Website: tetradprotocol.com
Estratégia Pine Script®
por TetradProtocol
1
Hilly's Advanced Crypto Scalping Strategy - 5 Min ChartTo determine the "best" input parameters for the Advanced Crypto Scalping Strategy on a 5-minute chart, we need to consider the goals of optimizing for profitability, minimizing false signals, and adapting to the volatile nature of cryptocurrencies. The default parameters in the script are a starting point, but the optimal values depend on the specific cryptocurrency pair, market conditions, and your risk tolerance. Below, I'll provide recommended input values based on common practices in crypto scalping, along with reasoning for each parameter. I’ll also suggest how to fine-tune them using TradingView’s backtesting and optimization tools. Recommended Input Parameters These values are tailored for a 5-minute chart for liquid cryptocurrencies like BTC/USD or ETH/USD on exchanges like Binance or Coinbase. They aim to balance signal frequency and accuracy for day trading. Fast EMA Length (emaFastLen): 9 Reasoning: A 9-period EMA is commonly used in scalping to capture short-term price movements while remaining sensitive to recent price action. It reacts faster than the default 10, aligning with the 5-minute timeframe. Slow EMA Length (emaSlowLen): 21 Reasoning: A 21-period EMA provides a good balance for identifying the broader trend on a 5-minute chart. It’s slightly longer than the default 20 to reduce noise while confirming the trend direction. RSI Length (rsiLen): 14 Reasoning: The default 14-period RSI is a standard choice for momentum analysis. It works well for detecting overbought/oversold conditions without being too sensitive on short timeframes. RSI Overbought (rsiOverbought): 75 Reasoning: Raising the overbought threshold to 75 (from 70) reduces false sell signals in strong bullish trends, which are common in crypto markets. RSI Oversold (rsiOversold): 25 Reasoning: Lowering the oversold threshold to 25 (from 30) filters out weaker buy signals, ensuring entries occur during stronger reversals. MACD Fast Length (macdFast): 12 Reasoning: The default 12-period fast EMA for MACD is effective for capturing short-term momentum shifts in crypto, aligning with scalping goals. MACD Slow Length (macdSlow): 26 Reasoning: The default 26-period slow EMA is a standard setting that works well for confirming momentum trends without lagging too much. MACD Signal Smoothing (macdSignal): 9 Reasoning: The default 9-period signal line is widely used and provides a good balance for smoothing MACD crossovers on a 5-minute chart. Bollinger Bands Length (bbLen): 20 Reasoning: The default 20-period Bollinger Bands are effective for identifying volatility breakouts, which are key for scalping in crypto markets. Bollinger Bands Multiplier (bbMult): 2.0 Reasoning: A 2.0 multiplier is standard and captures most price action within the bands. Increasing it to 2.5 could reduce signals but improve accuracy in highly volatile markets. Stop Loss % (slPerc): 0.8% Reasoning: A tighter stop loss of 0.8% (from 1.0%) suits the high volatility of crypto, helping to limit losses on false breakouts while keeping risk manageable. Take Profit % (tpPerc): 1.5% Reasoning: A 1.5% take-profit target (from 2.0%) aligns with scalping’s goal of capturing small, frequent gains. Crypto markets often see quick reversals, so a smaller target increases the likelihood of hitting profits. Use Candlestick Patterns (useCandlePatterns): True Reasoning: Enabling candlestick patterns (e.g., engulfing, hammer) adds confirmation to signals, reducing false entries in choppy markets. Use Volume Filter (useVolumeFilter): True Reasoning: The volume filter ensures signals occur during high-volume breakouts, which are more likely to sustain in crypto markets. Signal Arrow Size (signalSize): 2.0 Reasoning: Increasing the arrow size to 2.0 (from 1.5) makes buy/sell signals more visible on the chart, especially on smaller screens or volatile price action. Background Highlight Transparency (bgTransparency): 85 Reasoning: A slightly higher transparency (85 from 80) keeps the background highlights subtle but visible, avoiding chart clutter. How to Apply These Parameters Copy the Script: Use the Pine Script provided in the previous response. Paste in TradingView: Open TradingView, go to the Pine Editor, paste the code, and click "Add to Chart." Set Parameters: In the strategy settings, manually input the recommended values above or adjust them via the input fields. Test on a 5-Minute Chart: Apply the strategy to a liquid crypto pair (e.g., BTC/USDT, ETH/USDT) on a 5-minute chart. Fine-Tuning for Optimal Performance To find the absolute best parameters for your specific trading pair and market conditions, use TradingView’s Strategy Tester and optimization features: Backtesting: Run the strategy on historical data for your chosen pair (e.g., BTC/USDT on Binance). Check metrics like Net Profit, Profit Factor, Win Rate, and Max Drawdown in the Strategy Tester. Focus on a sample period of at least 1–3 months to capture various market conditions (bull, bear, sideways). Parameter Optimization: In the Strategy Tester, click the settings gear next to the strategy name. Enable optimization for key inputs like emaFastLen (test range: 7–12), emaSlowLen (15–25), slPerc (0.5–1.5), and tpPerc (1.0–3.0). Run the optimization to find the combination with the highest net profit or best Sharpe ratio, but avoid over-optimization (curve-fitting) by testing on out-of-sample data. Market-Specific Adjustments: Volatile Pairs (e.g., DOGE/USDT): Use tighter stop losses (e.g., 0.5–0.7%) and smaller take-profit targets (e.g., 1.0–1.2%) to account for rapid price swings. Stable Pairs (e.g., BTC/USDT): Slightly wider stop losses (e.g., 1.0–1.2%) and take-profit targets (e.g., 1.8–2.5%) may work better. Trending Markets: Increase emaSlowLen (e.g., to 25–30) to follow stronger trends. Choppy Markets: Tighten bbMult (e.g., to 1.8) and lower rsiOverbought/rsiOversold (e.g., to 70/30) to filter noise. Forward Testing: After backtesting, run the strategy in real-time on a demo account for 1–2 weeks to validate performance under current market conditions. Important Notes No Universal "Best" Numbers: Optimal parameters vary by crypto pair, exchange, and market conditions (e.g., bull vs. bear market). The suggested values are a starting point based on common scalping practices. Risk Management: Never risk more than 1–2% of your account per trade. Adjust position sizing in TradingView’s strategy settings to align with your risk tolerance. Market Volatility: Crypto markets are highly volatile. Test the strategy on your specific pair and adjust parameters if signals are too frequent or too rare. Not Financial Advice: This is an educational tool. Backtest thoroughly and use a demo account before trading with real funds. If you want me to generate a chart showing backtest performance for specific parameters or to tweak the script further (e.g., adding more indicators or adjusting signal logic), let me know!can you add clear buy ans sell signs above the candles in this codeTo add clear buy and sell signals above the candles in the provided Pine Script, I'll modify the existing code to include prominent text labels directly above (for sell signals) and below (for buy signals) the candles. These labels will be larger, color-coded, and positioned to avoid clutter, ensuring they are easily visible on the chart. The core strategy logic (EMA, RSI, MACD, Bollinger Bands, candlestick patterns, and volume filter) will remain unchanged, and I'll reuse the same artifact_id since this is an update to the previous script.AdvancedCryptoScalpingStrategy.pinex-pine
Estratégia Pine Script®
por Hilly1976
dabilThe strategy is probably to go short or long with the trend depending on the case, but if all time units 1 minute then 3 minutes then 5 minutes then 15 minutes then 1 hour all show the same direction, but first the 1 hour must be bullish in which the 1 hour candle closes above the previous one, for example if the trend is bearish then the market wants to change direction, then a 1 hour bullish close must then be followed by a 1 hour bearish close below the bullish candle, then another bullish candle must shoot above the previous bullish candle, then 15 minutes also shoot above the previous 15 bullish candles, then 1 and 2...3.5. Then I can rise with the market by only covering the last 15 bullish candles with my stop loss, if my SL is 50 pips then I want 100 pips and then I'm out.
Estratégia Pine Script®
por omarenade
1
News Volatility Bracketing StrategyThis is a news-volatility bracketing strategy. Five seconds before a scheduled release, the strategy brackets price with a buy-stop above and a sell-stop below (OCO), then converts the untouched side into nothing while the filled side runs with a 1:1 TP/SL set the same distance from entry. Distances are configurable in USD or %, so it scales to the instrument and can run on 1-second data (or higher TF with bar-magnifier). The edge it’s trying to capture is the immediate, one-directional burst and liquidity vacuum that often follows market-moving news—entering on momentum rather than predicting direction. Primary risks are slippage/spread widening and whipsaws right after the print, which can trigger an entry then snap back to the stop.
Estratégia Pine Script®
por mashinator347