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EMA Trend Pro [Hedging & Fixed Risk] This strategy is a comprehensive trend-following system designed to capture significant market movements while strictly managing risk. It combines multiple Exponential Moving Averages (EMAs) for trend identification, ADX for trend strength filtering, and Volume confirmation to reduce false signals. Key Features: Hedging Mode Compatible: The script is designed to handle Long and Short positions independently. This is ideal for markets where trends can reverse quickly or for traders who prefer hedging logic (requires hedging=true in strategy settings). Professional Risk Management: Unlike standard strategies that use fixed contract sizes, this script calculates Position Size based on Risk. You can define a fixed risk per trade (e.g., 1% of equity or $100 fixed risk). The script automatically adjusts the lot size based on the Stop Loss distance (ATR). Multi-Stage Take Profit: The strategy scales out positions at 3 different levels (TP1, TP2, TP3) to lock in profits while letting the remaining position ride the trend. Strategy Logic: Trend Identification: Long Entry: EMA 7 > EMA 14 > EMA 21 > EMA 144 (Bullish Alignment). Short Entry: EMA 7 < EMA 14 < EMA 21 < EMA 144 (Bearish Alignment). Filters: ADX Filter: Entries are only taken if ADX (14) > Threshold (default 20) to ensure the market is trending, avoiding chopping ranging markets. Volume Filter: Current volume must exceed the 20-period SMA volume by 10% to confirm momentum. Exits & Trade Management: Stop Loss: Dynamic SL based on ATR (e.g., 1.8x ATR). Breakeven: Once TP1 is hit, the Stop Loss is automatically moved to Breakeven to protect capital. Take Profits: TP1: 1x Risk Distance (30% pos) TP2: 2x Risk Distance (50% pos) TP3: 3x Risk Distance (Remaining pos) Settings Guide: Risk Type: Choose between "Percent" (of equity) or "Fixed Amount" (USD). Risk Value: Input your desired risk (e.g., 1.0 for 1% risk). Fee %: Set your exchange's Taker fee (e.g., 0.05 or 0.06) for accurate backtesting. ADX Threshold: Adjust to filter out noise (Higher = Stricter trend requirement). Disclaimer: This script is for educational and backtesting purposes only. Past performance does not guarantee future results. Please use proper risk management.
Стратегия Pine Script®
от misusu
Volume weighted average price band strategy [Kevin-Patrick]VWAP Bands strategy, Credit VWAP Machine Learning Bands is an advanced indicator designed to enhance trading analysis by integrating VWAP with a machine learning-inspired adaptive smoothing approach. This tool helps traders identify trend-based support and resistance zones, predict potential price movements, and generate dynamic trade signals. Key Features Adaptive ML VWAP Calculation: Uses a dynamically adjusted SMA-based VWAP model with volatility sensitivity for improved trend analysis. Forecasting Mechanism: The 'Forecast' parameter shifts the ML output forward, providing predictive insights into potential price movements. Volatility-Based Band Adjustments: The 'Sigma' parameter fine-tunes the impact of volatility on ML smoothing, adapting to market conditions. Multi-Tier Standard Deviation Bands: Includes two levels of bands to define potential breakout or mean-reversion zones. Dynamic Trend-Based Colouring: The VWAP and ML lines change colour based on their relative positions, visually indicating bullish and bearish conditions. Custom Signal Detection Modes: Allows traders to choose between signals from Band 1, Band 2, or both, for more tailored trade setups. + Strategy setting by Kevin-Patrick
Стратегия Pine Script®
от Kevin-Patrick
Stochastic Hash Strat [Hash Capital Research]# Stochastic Hash Strategy by Hash Capital Research ## 🎯 What Is This Strategy? The **Stochastic Slow Strategy** is a momentum-based trading system that identifies oversold and overbought market conditions to capture mean-reversion opportunities. Think of it as a "buy low, sell high" approach with smart mathematical filters that remove emotion from your trading decisions. Unlike fast-moving indicators that generate excessive noise, this strategy uses **smoothed stochastic oscillators** to identify only the highest-probability setups when momentum truly shifts. --- ## 💡 Why This Strategy Works Most traders fail because they: - **Chase prices** after big moves (buying high, selling low) - **Overtrade** in choppy, directionless markets - **Exit too early** or hold losses too long This strategy solves all three problems: 1. **Entry Discipline**: Only trades when the stochastic oscillator crosses in extreme zones (oversold for longs, overbought for shorts) 2. **Cooldown Filter**: Prevents revenge trading by forcing a waiting period after each trade 3. **Fixed Risk/Reward**: Pre-defined stop-loss and take-profit levels ensure consistent risk management **The Math Behind It**: The stochastic oscillator measures where the current price sits relative to its recent high-low range. When it's below 25, the market is oversold (time to buy). When above 70, it's overbought (time to sell). The crossover with its moving average confirms momentum is shifting. --- ## 📊 Best Markets & Timeframes ### ⭐ OPTIMAL PERFORMANCE: **Crude Oil (WTI) - 12H Timeframe** - **Why it works**: Oil markets have predictable volatility patterns and respect technical levels **AAVE/USD - 4H to 12H Timeframe** - **Why it works**: DeFi tokens exhibit strong momentum cycles with clear extremes ### ✅ Also Works Well On: - **BTC/USD** (12H, Daily) - Lower frequency but high win rate - **ETH/USD** (8H, 12H) - Balanced volatility and liquidity - **Gold (XAU/USD)** (Daily) - Classic mean-reversion asset - **EUR/USD** (4H, 8H) - Lower volatility, requires patience ### ❌ Avoid Using On: - Timeframes below 4H (too much noise) - Low-liquidity altcoins (wide spreads kill performance) - Strongly trending markets without pullbacks (Bitcoin in 2021) - News-driven instruments during major events --- ## 🎛️ Understanding The Settings ### Core Stochastic Parameters **Stochastic Length (Default: 16)** - Controls the lookback period for price comparison - Lower = faster reactions, more signals (10-14 for volatile markets) - Higher = smoother signals, fewer trades (16-21 for stable markets) - **Pro tip**: Use 10 for crypto 4H, 16 for commodities 12H **Overbought Level (Default: 70)** - Threshold for short entries - Lower values (65-70) = more trades, earlier entries - Higher values (75-80) = fewer but higher-conviction trades - **Sweet spot**: 70 works for most assets **Oversold Level (Default: 25)** - Threshold for long entries - Higher values (25-30) = more trades, earlier entries - Lower values (15-20) = fewer but stronger bounce setups - **Sweet spot**: 20-25 depending on market conditions **Smooth K & Smooth D (Default: 7 & 3)** - Additional smoothing to filter out whipsaws - K=7 makes the indicator slower and more reliable - D=3 is the signal line that confirms the trend - **Don't change these unless you know what you're doing** --- ### Risk Management **Stop Loss % (Default: 2.2%)** - Automatically exits losing trades - Should be 1.5x to 2x your average market volatility - Too tight = death by a thousand cuts - Too wide = uncontrolled losses - **Calibration**: Check ATR indicator and set SL slightly above it **Take Profit % (Default: 7%)** - Automatically exits winning trades - Should be 2.5x to 3x your stop loss (reward-to-risk ratio) - This default gives 7% / 2.2% = 3.18:1 R:R - **The golden rule**: Never have R:R below 2:1 --- ### Trade Filters **Bar Cooldown Filter (Default: ON, 3 bars)** - **What it does**: Forces you to wait X bars after closing a trade before entering a new one - **Why it matters**: Prevents emotional revenge trading and overtrading in choppy markets - **Settings guide**: - 3 bars = Standard (good for most cases) - 5-7 bars = Conservative (oil, slow-moving assets) - 1-2 bars = Aggressive (only for experienced traders) **Exit on Opposite Extreme (Default: ON)** - Closes your long when stochastic hits overbought (and vice versa) - Acts as an early profit-taking mechanism - **Leave this ON** unless you're testing other exit strategies **Divergence Filter (Default: OFF)** - Looks for price/momentum divergences for additional confirmation - **When to enable**: Trending markets where you want fewer but higher-quality trades - **Keep OFF for**: Mean-reverting markets (oil, forex, most of the time) --- ## 🚀 Quick Start Guide ### Step 1: Set Up in TradingView 1. Open TradingView and navigate to your chart 2. Click "Pine Editor" at the bottom 3. Copy and paste the strategy code 4. Click "Add to Chart" 5. The strategy will appear in a separate pane below your price chart ### Step 2: Choose Your Market **If you're trading Crude Oil:** - Timeframe: 12H - Keep all default settings - Watch for signals during London/NY overlap (8am-11am EST) **If you're trading AAVE or crypto:** - Timeframe: 4H or 12H - Consider these adjustments: - Stochastic Length: 10-14 (faster) - Oversold: 20 (more aggressive) - Take Profit: 8-10% (higher targets) ### Step 3: Wait for Your First Signal **LONG Entry** (Green circle appears): - Stochastic crosses up below oversold level (25) - Price likely near recent lows - System places limit order at take profit and stop loss **SHORT Entry** (Red circle appears): - Stochastic crosses down above overbought level (70) - Price likely near recent highs - System places limit order at take profit and stop loss **EXIT** (Orange circle): - Position closes either at stop, target, or opposite extreme - Cooldown period begins ### Step 4: Let It Run The biggest mistake? **Interfering with the system.** - Don't close trades early because you're scared - Don't skip signals because you "have a feeling" - Don't increase position size after a big win - Don't revenge trade after a loss **Follow the system or don't use it at all.** --- ### Important Risks: 1. **Drawdown Pain**: You WILL experience losing streaks of 5-7 trades. This is mathematically normal. 2. **Whipsaw Markets**: Choppy, range-bound conditions can trigger multiple small losses. 3. **Gap Risk**: Overnight gaps can cause your actual fill to be worse than the stop loss. 4. **Slippage**: Real execution prices differ from backtested prices (factor in 0.1-0.2% slippage). --- ## 🔧 Optimization Guide ### When to Adjust Settings: **Market Volatility Increased?** - Widen stop loss by 0.5-1% - Increase take profit proportionally - Consider increasing cooldown to 5-7 bars **Getting Too Few Signals?** - Decrease stochastic length to 10-12 - Increase oversold to 30, decrease overbought to 65 - Reduce cooldown to 2 bars **Getting Too Many Losses?** - Increase stochastic length to 18-21 (slower, smoother) - Enable divergence filter - Increase cooldown to 5+ bars - Verify you're on the right timeframe ### A/B Testing Method: 1. **Run default settings for 50 trades** on your chosen market 2. Document: Win rate, profit factor, max drawdown, emotional tolerance 3. **Change ONE variable** (e.g., oversold from 25 to 20) 4. Run another 50 trades 5. Compare results 6. Keep the better version **Never change multiple settings at once** or you won't know what worked. --- ## 📚 Educational Resources ### Key Concepts to Learn: **Stochastic Oscillator** - Developed by George Lane in the 1950s - Measures momentum by comparing closing price to price range - Formula: %K = (Close - Low) / (High - Low) × 100 - Similar to RSI but more sensitive to price movements **Mean Reversion vs. Trend Following** - This is a **mean reversion** strategy (price returns to average) - Works best in ranging markets with defined support/resistance - Fails in strong trending markets (2017 Bitcoin, 2020 Tech stocks) - Complement with trend filters for better results **Risk:Reward Ratio** - The cornerstone of profitable trading - Winning 40% of trades with 3:1 R:R = profitable - Winning 60% of trades with 1:1 R:R = breakeven (after fees) - **This strategy aims for 45% win rate with 2.5-3:1 R:R** ### Recommended Reading: - *"Trading Systems and Methods"* by Perry Kaufman (Chapter on Oscillators) - *"Mean Reversion Trading Systems"* by Howard Bandy - *"The New Trading for a Living"* by Dr. Alexander Elder --- ## 🛠️ Troubleshooting ### "I'm not seeing any signals!" **Check:** - Is your timeframe 4H or higher? - Is the stochastic actually reaching extreme levels (check if your asset is stuck in middle range)? - Is cooldown still active from a previous trade? - Are you on a low-liquidity pair? **Solution**: Switch to a more volatile asset or lower the overbought/oversold thresholds. --- ### "The strategy keeps losing money!" **Check:** - What's your win rate? (Below 35% is concerning) - What's your profit factor? (Below 0.8 means serious issues) - Are you trading during major news events? - Is the market in a strong trend? **Solution**: 1. Verify you're using recommended markets/timeframes 2. Increase cooldown period to avoid choppy markets 3. Reduce position size to 5% while you diagnose 4. Consider switching to daily timeframe for less noise --- ### "My stop losses keep getting hit!" **Check:** - Is your stop loss tighter than the average ATR? - Are you trading during high-volatility sessions? - Is slippage eating into your buffer? **Solution**: 1. Calculate the 14-period ATR 2. Set stop loss to 1.5x the ATR value 3. Avoid trading right after market open or major news 4. Factor in 0.2% slippage for crypto, 0.1% for oil --- ## 💪 Pro Tips from the Trenches ### Psychological Discipline **The Three Deadly Sins:** 1. **Skipping signals** - "This one doesn't feel right" 2. **Early exits** - "I'll just take profit here to be safe" 3. **Revenge trading** - "I need to make back that loss NOW" **The Solution:** Treat your strategy like a business system. Would McDonald's skip making fries because the cashier "doesn't feel like it today"? No. Systems work because of consistency. --- ### Position Management **Scaling In/Out** (Advanced) - Enter 50% position at signal - Add 50% if stochastic reaches 10 (oversold) or 90 (overbought) - Exit 50% at 1.5x take profit, let the rest run **This is NOT for beginners.** Master the basic system first. --- ### Market Awareness **Oil Traders:** - OPEC meetings = volatility spikes (avoid or widen stops) - US inventory reports (Wed 10:30am EST) = avoid trading 2 hours before/after - Summer driving season = different patterns than winter **Crypto Traders:** - Monday-Tuesday = typically lower volatility (fewer signals) - Thursday-Sunday = higher volatility (more signals) - Avoid trading during exchange maintenance windows --- ## ⚖️ Legal Disclaimer This trading strategy is provided for **educational purposes only**. - Past performance does not guarantee future results - Trading involves substantial risk of loss - Only trade with capital you can afford to lose - No one associated with this strategy is a licensed financial advisor - You are solely responsible for your trading decisions **By using this strategy, you acknowledge that you understand and accept these risks.** --- ## 🙏 Acknowledgments Strategy development inspired by: - George Lane's original Stochastic Oscillator work - Modern quantitative trading research - Community feedback from hundreds of backtests Built with ❤️ for retail traders who want systematic, disciplined approaches to the markets. --- **Good luck, stay disciplined, and trade the system, not your emotions.**
Стратегия Pine Script®
от Hash_Capital
RSI-Adaptive T3 & SAR Strategy [PrimeAutomation]⯁ OVERVIEW The RSI-Adaptive T3 and SAR Confluence Strategy combines adaptive smoothing with dynamic trend confirmation to identify precise trend reversals and continuation opportunities. It fuses the power of an RSI-based adaptive T3 moving average with the Parabolic SAR filter , aiming to trade in harmony with dominant momentum shifts while maintaining tight control through automatic stop-loss placement. The RSI-Adaptive T3 is a precision trend-following tool built around the legendary T3 smoothing algorithm developed by Tim Tillson, designed to enhance responsiveness while reducing lag compared to traditional moving averages. Current implementation takes it a step further by dynamically adapting the smoothing length based on real-time RSI conditions — allowing the T3 to “breathe” with market volatility. This dynamic length makes the curve faster in trending moves and smoother during consolidations. To help traders visualize volatility and directional momentum, adaptive volatility bands are plotted around the T3 line, with visual crossover markers and a dynamic info panel on the chart. It’s ideal for identifying trend shifts, spotting momentum surges, and adapting strategy execution to the pace of the market. ⯁ LOGIC The T3 moving average length dynamically adjusts based on RSI values — when RSI is high, the smoothing period shortens to react faster; when RSI is low, the period increases for stability in slow markets. A Parabolic SAR filter confirms directional bias, ensuring trades only occur in alignment with the broader market trend. Long Entries: Trigger when the T3 curve crosses upward while the current price remains above the SAR — signaling bullish momentum alignment. Short Entries: Trigger when the T3 crosses downward while the price remains below the SAR — confirming bearish trend alignment. Stops: Dynamic stops are placed using the highest or lowest price over a set lookback period, adapting automatically to market volatility. ⯁ FEATURES RSI-Adaptive T3 Filter: Adjusts smoothing in real time to market conditions, blending responsiveness with noise reduction. SAR Confluence Check: Prevents counter-trend entries by confirming momentum direction via the Parabolic SAR. Automatic Stop Placement: Uses recent highs or lows as stop-loss anchors, minimizing risk exposure. Color-coded Visualization: The T3 line dynamically changes color based on slope direction, making momentum shifts visually intuitive. Smoothed Trend Structure: Reduces market noise, allowing cleaner, more reliable trend recognition across different assets. ⯁ CONCLUSION The RSI-Adaptive T3 and SAR Confluence Strategy delivers an advanced fusion of adaptive smoothing and structural confirmation. By combining RSI-driven reactivity with Parabolic SAR trend validation, this strategy offers a balanced approach to identifying sustainable momentum reversals while maintaining strong risk management through automatic stop levels. Ideal for traders who seek precision entries aligned with adaptive trend dynamics.
Стратегия Pine Script®
от ChartPrime
11
Safe Supertrend Strategy (No Repaint)Overview The Safe Supertrend is a repaint-free version of the popular Supertrend trend-following indicator. Most Supertrend indicators appear perfect on historical charts because they flip intrabar and then repaint after the candle closes. This version fixes that by using close-of-bar confirmation only, making every trend flip 100% stable, safe, and non-repainting. Why This Supertrend Doesn’t Repaint Most Supertrend indicators calculate their trend direction using the current bar’s data. But during a live candle: ATR expands and contracts The upper/lower bands move Price moves above/below the band temporarily A false flip appears → then disappears when the candle closes That is classic repainting. This indicator avoids all of that by using: close > upper close < lower This means: Trend direction flips only based on the previous candle, No intrabar calculations, No flickering signals, No “perfect but fake” historical performance. Every signal you see on the chart is exactly what was available in real-time. How It Works Calculates ATR (Average True Range) and SMA centerline Builds upper and lower volatility bands Confirms trend flips only after the previous bar closes Plots clear bull and bear reversal signals Works on all markets (crypto, stocks, forex, indices) No repainting, no recalc, no misleading flips. Bullish Signal (Trend Up) A bullish trend begins only when: The previous candle closes above the upper ATR band, And this flip is fully confirmed. A green triangle marks the start of a new uptrend. Bearish Signal (Trend Down) A bearish trend begins only when: The previous candle closes below the lower ATR band, And the downtrend is confirmed. A red triangle signals the start of a new downtrend. Inputs ATR Length - default 10 ATR Multiplier - default 3.0 Works on all timeframes and market Simple, but powerful. Why Use This Version Instead of a Regular Supertrend? Most Supertrends: Look great historically But repaint continuously on live charts Give false trend flips intrabar Cannot be reliably used in strategies This version: Uses strict previous-bar logic Never repaints trend direction Works perfectly in live trading Backtests accurately Is ideal for algorithmic strategies Ideal For: Trend-following strategies Breakout trading Algo trading systems Reversal detection Filtering market noise Swing trading & scalping Final Note This is a safer, more reliable Supertrend designed for real-world use — not perfect-looking repaint illusions. If you use Supertrend in your trading system, this no-repaint version ensures your signals are trustworthy and consistent.
Стратегия Pine Script®
от AIScripts
1
Safe Supertrend Strategy (No Repaint)Overview The Safe Supertrend is a repaint-free version of the popular Supertrend trend-following indicator. Most Supertrend indicators appear perfect on historical charts because they flip intrabar and then repaint after the candle closes. This version fixes that by using close-of-bar confirmation only, making every trend flip 100% stable, safe, and non-repainting. Why This Supertrend Doesn’t Repaint Most Supertrend indicators calculate their trend direction using the current bar’s data. But during a live candle: ATR expands and contracts The upper/lower bands move Price moves above/below the band temporarily A false flip appears → then disappears when the candle closes That is classic repainting. This indicator avoids all of that by using: close > upper close < lower This means: Trend direction flips only based on the previous candle, No intrabar calculations, No flickering signals, No “perfect but fake” historical performance. Every signal you see on the chart is exactly what was available in real-time. How It Works Calculates ATR (Average True Range) and SMA centerline Builds upper and lower volatility bands Confirms trend flips only after the previous bar closes Plots clear bull and bear reversal signals Works on all markets (crypto, stocks, forex, indices) No repainting, no recalc, no misleading flips. Bullish Signal (Trend Up) A bullish trend begins only when: The previous candle closes above the upper ATR band, And this flip is fully confirmed. A green triangle marks the start of a new uptrend. Bearish Signal (Trend Down) A bearish trend begins only when: The previous candle closes below the lower ATR band, And the downtrend is confirmed. A red triangle signals the start of a new downtrend. Inputs ATR Length - default 10 ATR Multiplier - default 3.0 Works on all timeframes and market Simple, but powerful. Why Use This Version Instead of a Regular Supertrend? Most Supertrends: Look great historically But repaint continuously on live charts Give false trend flips intrabar Cannot be reliably used in strategies This version: Uses strict previous-bar logic Never repaints trend direction Works perfectly in live trading Backtests accurately Is ideal for algorithmic strategies Ideal For: Trend-following strategies Breakout trading Algo trading systems Reversal detection Filtering market noise Swing trading & scalping Final Note This is a safer, more reliable Supertrend designed for real-world use — not perfect-looking repaint illusions. If you use Supertrend in your trading system, this no-repaint version ensures your signals are trustworthy and consistent.
Стратегия Pine Script®
от AIScripts
EMA Trend Pro v5.0 5M ONLY — 策略版（1:1出30%+保本）Here is a clear, professional English description you can copy-paste directly (suitable for sharing with friends, investors, brokers, or posting on TradingView): EMA Trend Pro v5.0 – Strategy Overview This is a trend-following strategy designed for 15-minute charts on assets like XAUUSD, NASDAQ, BTC, and ETH. Entry Rules Buy when the 7, 14, and 21-period EMAs are aligned upward and the 14-period EMA crosses above the 144-period EMA (with ADX > 20 and volume confirmation). Sell short when the EMAs are aligned downward and the 14-period EMA crosses below the 144-period EMA. Risk Management Initial stop-loss is placed at 1.8 × ATR below (long) or above (short) the entry price. Position size is calculated to risk a fixed percentage of equity per trade. Profit-Taking & Trade Management When price reaches 1:1 reward-to-risk, 30% of the position is closed. At the same moment, the stop-loss for the remaining 70% is moved to the entry price (breakeven). The remaining position is split: 50% targets 1:2 reward-to-risk 50% targets 1:3 reward-to-risk (allowing big wins during strong trends) Visualization Clean colored bars extend to the right showing entry, stop-loss, and three take-profit levels. Price labels clearly display "Entry", "SL", "TP1 1:1", "TP2 1:2", and "TP3 1:3". Only the current trade is displayed for a clean chart. Key Advantages High win rate due to breakeven protection after 1R Excellent reward-to-risk ratio that lets winners run Fully automated, works on any market with clear trends Professional look, easy to understand and explain Perfect for swing traders who want consistent profits with limited downside risk. Feel free to use this description on TradingView, in your trading journal, or when explaining the strategy to others! If you want a shorter version (e.g., for TradingView description box) or a Chinese version, just let me know — I’ll give it to you right away! 😊
Стратегия Pine Script®
от tair11123ru
4
Recursive WMA Angle StrategyDescription: This strategy utilizes a recursive Weighted Moving Average (WMA) calculation to determine the trend direction and strength based on the slope (angle) of the curve. By calculating the angle of the smoothed moving average in degrees, the script filters out noise and aims to enter trades only during strong momentum phases. How it Works: Recursive WMA: The script calculates a series of nested WMAs (M1 to M5), creating a very smooth yet responsive curve. Angle Calculation: It measures the rate of change of this curve over a user-defined lookback period and converts it into an angle (in degrees). Entry Condition (Long): A long position is opened when the calculated angle exceeds the Min Angle for BUY threshold (default: 0.2), indicating a strong upward trend. Exit Condition: The position is closed when the angle drops below the Min Angle for SELL threshold (default: -0.2), indicating a sharp trend reversal. Settings: MA Settings: Adjust the base lengths for the recursive calculation. Angle Settings: Fine-tune the sensitivity by changing the Buy/Sell angle thresholds. Date Filter: Restrict the backtest to a specific date range. Note: This strategy is designed for Long-Only setups.
Стратегия Pine Script®
от vahsi_bati
Hash Supertrend [Hash Capital Research]Hash Supertrend Strategy by Hash Capital Research Overview Hash Supertrend is a professional-grade trend-following strategy that combines the proven Supertrend indicator with institutional visual design and flexible time filtering. The strategy uses ATR-based volatility bands to identify trend direction and executes position reversals when the trend flips.This implementation features a distinctive fluorescent color system with customizable glow effects, making trend changes immediately visible while maintaining the clean, professional aesthetic expected in quantitative trading environments. Entry Signals: Long Entry: Price crosses above the Supertrend line (trend flips bullish) Short Entry: Price crosses below the Supertrend line (trend flips bearish) Controls the lookback period for volatility calculation Lower values (7-10): More sensitive to price changes, generates more signals Higher values (12-14): Smoother response, fewer signals but potentially delayed entries Recommended range: 7-14 depending on market volatility Factor (Default: 3.0) Restricts trading to specific hours Useful for avoiding low-liquidity sessions, overnight gaps, or known choppy periods When disabled, strategy trades 24/7 Start Hour (Default: 9) & Start Minute (Default: 30) Define when the trading session begins Uses exchange timezone in 24-hour format Example: 9:30 = 9:30 AM End Hour (Default: 16) & End Minute (Default: 0) Controls the vibrancy of the fluorescent color system 1-3: Subtle, muted colors 4-6: Balanced, moderate saturation 7-10: Bright, highly saturated fluorescent appearance Affects both the Supertrend line and trend zones Glow Effect (Default: On) Adds luminous halo around the Supertrend line Creates a multi-layered visual with depth Particularly effective during strong trends Glow Intensity (Default: 5.0) Displays tiny fluorescent dots at entry points Green dot below bar: Long entry Red dot above bar: Short entry Provides clear visual confirmation of executed trades Show Trend Zone (Default: On) Strong trending markets (2020-style bull runs, sustained bear markets) Markets with clear directional bias Instruments with consistent volatility patterns Timeframes: 15m to Daily (optimal on 1H-4H) Challenging Conditions: Choppy, range-bound markets Low volatility consolidation periods Highly news-driven instruments with frequent gaps Very low timeframes (1m-5m) prone to noise Recommended AssetsCryptocurrency:
Стратегия Pine Script®
от Hash_Capital
Paulinho Signals – Cripto 5m/15m com Filtro de LateralidadeThis script is an automated Pine Script v6 strategy designed for short-term cryptocurrency trading, especially on 5-minute and 15-minute timeframes. It combines moving average crossovers, trend strength (ADX), volatility (ATR), and candlestick patterns to generate buy and sell signals with a fixed risk/reward management system. How to Use: - Apply to cryptocurrency charts on 5m or 15m timeframes. - Adjust parameters to fit your preferences (EMA, RSI, ADX, ATR). - Use for backtesting or as a decision-support tool. Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always test on demo accounts before applying to live trading.
Стратегия Pine Script®
от Pqpaulao
Vital Wave 20-50Simplicity is almost always the most effective approach, and here I’m giving you a trend-following system that exploits the bullish bias of traditional markets and their trending nature, with very basic rules. Rules (long entries only) • Market entry: When the EMA 20 crosses above the EMA 50 (from below) • Main market exit: When the EMA 20 crosses below the EMA 50 (from above) • Fixed Stop Loss: Placed at the price level of the Lower Bollinger Band at the moment the trade is entered. In my strategy, the primary exit is when the EMA 20 crosses below the EMA 50. However, this crossover can sometimes take a while to occur, and in the meantime the price may have already dropped significantly. The Stop Loss based on the Lower Bollinger Band is designed to limit losses in case the market moves sharply against the position without giving the bearish crossover signal in time. Having two exit conditions makes the strategy much more robust in terms of risk management. Risk Management: • Initial capital: $10,000 • Position size: 10% of available capital per trade • Commissions: 0.1% on traded volume • Stop Loss: Based on the Lower Bollinger Band • Take Profit / Exit: When EMA 20 crosses below EMA 50 Recommended Markets: XAUUSD (OANDA) (Daily) Period: January 3, 1833 – November 23, 2025 Total Profit & Loss: +$6,030.62 USD (+57.57%) Maximum Drawdown: $541.53 USD (3.83%) Total Trades: 136 Winning Trades (Win Rate): 36.03% (49/136) Profit Factor: 2.483 XAUUSD (OANDA) (12-hour) Period: March 19, 2006 – November 23, 2025 Total Profit & Loss: +$1,209.56 USD (+11.89%) Maximum Drawdown: $384.58 USD (3.61%) Total Trades: 97 Winning Trades (Win Rate): 35.05% (34/97) Profit Factor: 1.676 XAUUSD (OANDA) (8-hour) Period: March 19, 2006 – November 23, 2025 Total Profit & Loss: +$1,179.36 USD (+11.81%) Maximum Drawdown: $246.88 USD (2.32%) Total Trades: 147 Winning Trades (Win Rate): 31.97% (47/147) Profit Factor: 1.626 Tesla (NASDAQ) (4-hour) Period: June 29, 2010 – November 23, 2025 Total Profit & Loss (Absolute): +$11,687.90 USD (+116.88%) Maximum Drawdown: $922.05 USD (6.50%) Total Trades: 68 Winning Trades (Win Rate): 39.71% (27/68) Profit Factor: 4.156 Tesla (NASDAQ) (3-hour) Total Profit & Loss: +$11,522.33 USD (+115.22%) Maximum Drawdown: $1,247.60 USD (8.80%) Total Trades: 114 Winning Trades: 33.33% (38/114) Profit Factor: 2.811 Additional Recommendations (These assets have shown good trending behavior with the same strategy across multiple timeframes): • NVDA (15 min, 30 min, 1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • NFLX (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • MA (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • META (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • AAPL (1h, 2h, 3h, 4h, 6h, 8h, 12h, Daily) • SPY (12h, Daily) About the Code The user can modify: • EMA periods (20 and 50 by default) • Bollinger Bands length (20 periods) • Standard deviation (2.0) Visualization • EMA 20: Blue line • EMA 50: Red line • Green background when EMA20 > EMA50 (bullish trend) • Red background when EMA20 < EMA50 (bearish trend) Important Note: We can significantly increase the profit factor and overall profitability by risking a fixed percentage per trade instead of a fixed amount. This would prevent losses from fluctuating with changes in volatility. This could be implemented by reducing position size or adjusting leverage based on the volatility percentage required for each trade, but I’m not sure if this is fully possible in Pine Script. In my other script, “ Golden Cross 50/200 EMA ,” I go deeper into this topic and provide examples. I hope you enjoy this contribution. Best regards!
Стратегия Pine Script®
от OldWave96
2
MTF Scalper - alemicihanMulti-Timeframe Scalper Strategy: Aligning the Big Picture for Quick Gains This article presents a robust futures trading strategy designed for high-frequency scalping in the crypto market. It’s built on the principle of minimizing risk by ensuring that short-term entries are always aligned with the dominant, higher-timeframe trend. The Core Concept: Alignment is Key A Balanced Trend Follower approach, now refined for rapid scalping, uses a Multi-Timeframe (MTF) confirmation system to filter out market noise and increase the probability of a successful trade. The strategy operates on a Low Timeframe (LTF) chart (e.g., 3m, 5m, or 15m) but only executes trades if the direction is validated by three Higher Timeframes (HTF). ComponentPurposeFunctionHTF (D, 4h, 1h) EMA => Trend Confirmation =>Checks if the current price is above/below all three Exponential Moving Averages (EMA 20). This provides a strong directional bias. LTF (5m) Stochastic RSI => Momentum Entry => Generates the actual buy/sell signal by spotting a swift crossover, indicating fresh momentum in the direction of the confirmed HTF trend. How The Signal Is Generated Trend Alignment: The system first confirms the trend. If the price is trading above the Daily, 4-Hour, and 1-Hour EMAs, the market is deemed to be in a Strong LONG Trend. Only LONG signals are permitted. Momentum Trigger: Once the trend is confirmed, a Long Signal is generated only when the Stochastic K-Line crosses above the D-Line, indicating a momentum shift (a pullback ending) towards the main trend direction. Short Signal: The inverse logic applies to the Short Trend confirmation and entry signal. Mandatory Risk Management: ATR-Based Exit Given the high leverage nature of futures and scalping, static Stop-Loss (SL) and Take-Profit (TP) levels are inefficient. This strategy uses the Average True Range (ATR) indicator to dynamically set profit and loss targets based on current market volatility. Stop Loss (SL): Set dynamically at 1.5 x ATR below (for long) or above (for short) the entry price. This gives the trade enough room to breathe without risking excessive capital. Take Profit (TP): Set dynamically at 3.0 x ATR, establishing a robust Risk-to-Reward Ratio of 1:2. Final Thoughts on Testing This sophisticated approach combines the reliability of MTF analysis with the speed of momentum indicators. However, data analysis is key. Backtesting these parameters (EMA, ATR Multipliers, RSI/Stochastic lengths) on your chosen asset (like BTC/USDT or ETH/USDT) and timeframe is crucial to achieving optimal performance.
Стратегия Pine Script®
от alemicihan
BTC Risk Metric DCA Adapter (3Commas Webhook Strategy)Risk Metric DCA Adapter (3Commas Webhook Strategy) - WORK IN PROGRESS This Pine Script strategy, originally inspired by the Risk Metric Indicator, is fundamentally engineered as an Adapter to interface with external trading bots like 3Commas via Webhooks. It calculates a dynamic market risk score and translates that score into specific dollar-cost averaging (DCA) entry levels and tiered profit-taking exits. Key Features & Logic Risk Metric Calculation (Credit to The Trading Parrot): The strategy incorporates a complex, multi-timeframe Risk Metric calculation based on daily and weekly moving averages (SMA) and standard deviation (StDev). This metric aims to quantify the current market overextension or compression relative to long-term historical data. The resulting score dictates the level of conviction for a new trade. Tiered DCA Entry Sizing: The strategy defines three distinct Buy Levels (L1, L2, L3) corresponding to increasingly favorable (lower) Risk Metric scores. L1 (Base): Risk is moderate, initiating the minimum defined trade amount. L2 (Scaled): Risk is low, initiating L1 amount + L2 amount. L3 (Aggressive): Risk is very low, initiating L1 + L2 + L3 amounts. Tiered Profit-Taking Exits: The strategy implements a staggered, partial profit-taking approach based on the Risk Metric rising: Sell L1 & L2: Closes a percentage of the current position when the Risk Metric reaches defined high thresholds, locking in partial profits. Sell L3 (Full Exit): Closes the remaining position when the Risk Metric reaches the highest defined threshold. The Adapter Function (Webhook Integration) This script is unique because it uses the Pine Script strategy() function to trigger Order Fills, which are necessary to access powerful placeholders in the TradingView alert system. Trigger Type: The alert must be set to trigger on Any order fill. Dynamic Webhook Data: Instead of using fixed alert() commands, the strategy generates dynamic labels (e.g., BUY_ENTRY_L3_USD_1000 or SELL_L1_PCT_25) using the strategy.entry and strategy.close commands. Data Transfer: The alert message then uses the placeholder {{strategy.order.comment}} to pass these dynamic labels to the 3Commas bot, allowing the bot to execute the precise action (e.g., start_deal_with_volume_in_quote_currency or close_deal_at_market_percentage). Full Strategy Webhook payload { "secret": "YOUR_3COMMAS_SECRET_KEY", "max_lag": "300", "timestamp": "{{timenow}}", "trigger_price": "{{close}}", "tv_exchange": "{{exchange}}", "tv_instrument": "{{ticker}}", "action": "{{strategy.order.action}}", "bot_uuid": "YOUR_BOT_UUID", "strategy_info": { "market_position": "{{strategy.market_position}}", "market_position_size": "{{strategy.market_position_size}}", "prev_market_position": "{{strategy.prev_market_position}}", "prev_market_position_size": "{{strategy.prev_market_position_size}}" }, "order": { "amount": "{{strategy.order.contracts}}", "currency_type": "base", "comment": "{{strategy.order.comment}}" } } Disclaimer: This script is an adapter tool and does not guarantee profit. Trading requires manual configuration of risk settings, bot parameters, and adherence to platform-specific setup instructions.
Стратегия Pine Script®
от nakphanan
1
Wavelet Alligator – Separate Entry/Exit Experts & Wavelets-V2 Wavelet Alligator – Strategy Explanation & How to Use 1. Concept Overview The Wavelet Alligator strategy combines: - Wavelet transforms (Daubechies, Haar, Symlet, Mexican Hat, Morlet) - Fractional calculus kernels: Caputo-Fabrizio (CF) and Atangana-Baleanu (AB) - Three-layer “alligator-like” wavelet smoothing (soft → medium → strong) - Expert-based entry/exit routing (RAW, CF, AB, or Majority vote) - Independent wavelets for ENTRY and EXIT - Main trend defined by AB wavelet ordering This creates a multi-structure, multi-kernel trend engine capable of capturing extended moves with high signal quality. 2. Wavelet Alligator Structure Each source (RAW, CF, AB) is transformed into three wavelet layers: Soft = fastest reaction Medium = mid smoothing Strong = trend backbone Wavelets: - Daubechies: stable trend - Haar: fast impulse detection - Symlet: balanced - Mexican Hat: curvature and reversal detection - Morlet: cyclic, oscillatory 3. Entry Logic Long entry occurs when: - AB wavelet shows bullish structure (soft > medium > strong, medium rising) - Selected entry expert approves (RAW / CF / AB / Majority) - Wavelet condition: soft > strong AND medium crosses above strong 4. Exit Logic Exit is independent from entry: - Controlled by chosen exit expert - Wavelet reversal condition: soft < strong AND medium crosses below strong - Forced exit when AB trend turns neutral or bearish 5. Background Color (Regime) - Green: bullish AB regime - Red: bearish AB regime - Gray: neutral/transition 6. How to Use Step 1 – Choose entry wavelet Daubechies: stable trend Haar: breakout scalping Mexican Hat: early reversals Symlet: balanced Morlet: cyclic markets Step 2 – Choose exit wavelet Mexican Hat: best precision Daubechies: smooth exits Haar: aggressive exits Step 3 – Select entry/exit experts CF only – fast fractional trend AB only – stable long-memory trend RAW only – pure price structure Majority – safest, noise-filtered Step 4 – Run the strategy Entries occur only during AB bullish trend. Exits occur on wavelet reversal or AB trend failure. 7. Why This Strategy Works It fuses: - Fractional calculus (memory) - Wavelets (shape/curvature) - Alligator ordering (trend hierarchy) Result: high-quality entries, strong trend holding, noise-resistant signals.
Стратегия Pine Script®
от wojlucz