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Recovery StrategyDescription: The Recovery Strategy is a long-only trading system designed to capitalize on significant price drops from recent highs. It enters a position when the price falls 10% or more from the highest high over a 6-month lookback period and adds positions on further 2% drops, up to a maximum of 5 positions. Each trade is held for 6 months before exiting, regardless of profit or loss. The strategy uses margin to amplify position sizes, with a default leverage of 5:1 (20% margin requirement). All key parameters are customizable via inputs, allowing flexibility for different assets and timeframes. Visual markers indicate recent highs for reference. How It Works: Entry: Buys when the closing price drops 10% or more from the recent high (highest high in the lookback period, default 126 bars ~6 months). If already in a position, additional buys occur on further 2% drops (e.g., 12%, 14%, 16%, 18%), up to 5 positions (pyramiding). Exit: Each trade exits after its own holding period (default 126 bars ~6 months), regardless of profit or loss. No stop loss or take-profit is used. Margin: Uses leverage to control larger positions (default 20% margin, 5:1 leverage). The order size is a percentage of equity (default 100%), adjustable via inputs. Visualization: Displays blue markers (without text) at new recent highs to highlight reference levels. Inputs: Lookback Period for High Peak (bars): Number of bars to look back for the recent high (default: 126, ~6 months on daily charts). Initial Drop Percentage to Buy (%): Percentage drop from recent high to trigger the first buy (default: 10.0%). Additional Drop Percentage to Buy (%): Further drop percentage to add positions (default: 2.0%). Holding Period (bars): Number of bars to hold each position before selling (default: 126, ~6 months). Order Size (% of Equity): Percentage of equity used per trade (default: 100%). Margin for Long Positions (%): Percentage of position value covered by equity (default: 20%, equivalent to 5:1 leverage). Usage: Timeframe: Designed for daily charts (126 bars ~6 months). Adjust Lookback Period and Holding Period for other timeframes (e.g., 1008 hours for hourly charts, assuming 8 trading hours/day). Assets: Suitable for stocks, ETFs, or other assets with significant price volatility. Test thoroughly on your chosen asset. Settings: Customize inputs in the strategy settings to match your risk tolerance and market conditions. For example, lower Margin for Long Positions (e.g., to 10% for 10:1 leverage) to increase position sizes, but beware of higher risk. Backtesting: Use TradingView’s Strategy Tester to evaluate performance. Check the “List of Trades” for skipped trades due to insufficient equity or margin requirements. Risks and Considerations: No Stop Loss: The strategy holds trades for the full 6 months without a stop loss, exposing it to significant drawdowns in prolonged downtrends. Margin Risk: Leverage (default 5:1) amplifies both profits and losses. Ensure sufficient equity to cover margin requirements to avoid skipped trades or simulated margin calls. Pyramiding: Up to 5 positions can be open simultaneously, increasing exposure. Adjust pyramiding in the code if fewer positions are desired (e.g., change to pyramiding=3). Market Conditions: Performance depends on price drops and recoveries. Test on historical data to assess effectiveness in your market. Broker Emulator: TradingView’s paper trading simulates margin but does not execute real margin trading. Results may differ in live trading due to broker-specific margin rules. How to Use: Add the strategy to your chart in TradingView. Adjust input parameters in the settings panel to suit your asset, timeframe, and risk preferences. Run a backtest in the Strategy Tester to evaluate performance. Monitor open positions and margin levels in the Trading Panel to manage risk. For live trading, consult your broker’s margin requirements and leverage policies, as TradingView’s simulation may not match real-world conditions. Disclaimer: This strategy is for educational purposes only and does not constitute financial advice. Trading involves significant risk, especially with leverage and no stop loss. Always backtest thoroughly and consult a financial advisor before using any strategy in live trading.
Strategi Pine Script®
oleh tanmaychess
LP Sweep / Reclaim & Breakout Grading: Long-onlySignals 1) LP Sweep & Reclaim (mean-reversion entry) Compute LP bounds from prior-bar window extremes: lpLL_prev = lowest low of the last N bars (offset 1). lpHH_prev = highest high of the last N bars (offset 1). Sweep long trigger: current low dips below lpLL_prev and closes back above it. Real-time quality grading (A/B/C) for sweep: Trend filter & slope via EMA(88). BOS bonus: close > last confirmed swing high. Body size vs ATR, location above a long EMA, headroom to swing high (penalty if too close), and multi-sweep count bonus. Sum → score → grade A/B/C; A or B required for sweep entry. 2) Trend Breakout (momentum entry) Core trigger: close > previous Donchian high (length boLen) + ATR buffer. Optional filter: close must be above the default EMA. Breakout grading (A/B/C) in real time combining: Trend up (price > EMA and EMA rising), Body/ATR, Gap above breakout level (in ATR), Volume vs MA, Upper-wick penalty, Position-in-Score: headroom to last swing high (penalty if too near) + EMA slope bonus. Sum → score → A or B required if grading enabled.
Strategi Pine Script®
oleh Shihyuuu
Gann Fan Strategy [KedarArc Quant]Description A single-concept, rule-based strategy that trades around a programmatic Gann Fan. It anchors to a swing (or a manual point), builds 1×1 and related fan lines numerically, and triggers entries when price interacts with the 1×1 (breakout or bounce). Management is done entirely with the fan structure (next/previous line) plus optional ATR trailing. What TV indicators are used * Pivots: `ta.pivothigh/ta.pivotlow` to confirm swing highs/lows for anchor selection. * ATR: `ta.atr` only to scale the 1×1 slope (optional) and for an optional trailing stop. * EMA: `ta.ema` as a trend filter (e.g., only long above the EMA, short below). No RSI/MACD/Stoch/Heikin/etc. The logic is one coherent framework: Gann price–time geometry, with ATR as a scale and EMA as a risk filter. How it works 1. Anchor * Auto: chooses the most recent *confirmed* pivot (you control Left/Right). * Manual: set a price and bar index and the fan will hold that point (no re-anchoring). * Optional Re-anchor when a newer pivot confirms. 2. 1×1 Slope (numeric, not cosmetic) * ATR mode: `1×1 = ATR(Length) × Multiplier` (adapts to volatility). * Fixed mode: `ticks per bar` (constant slope). Because slope is numeric, it doesn’t change with chart zoom, unlike the drawing tool. 3. Fan Lines Builds classic ratios around the 1×1: 1/8, 1/4, 1/3, 1/2, 1/1, 2/1, 3/1, 4/1, 8/1. 4. Signals * Breakout: cross of price over/under the 1×1 in the EMA-aligned direction. * Bounce (optional): touch + reversal across the 1×1 to reduce whipsaw. 5. Exits & Risk * Take-profit at the next fan line; Stop at the previous fan line. * If a level is missing (right after re-anchor), a fallback Risk-Reward (RR) is used. * Optional ATR trailing stop. Why this is unique * True numeric fan: The 1×1 slope is calculated from ATR or fixed ticks—not from screen geometry—so it is scale-invariant and reproducible across users/timeframes. * Deterministic anchor logic: Uses confirmed pivots (with your L/R settings). No look-ahead; anchors update only when the right bars complete. * Fan-native trade management: Both entries and exits come from the fan structure itself (with a minimal ATR/EMA assist), keeping the method pure. * Two entry archetypes: Breakout for momentum days; Bounce for range days—switchable without changing the core model. * Manual mode: Lock a session’s bias by anchoring to a chosen swing (e.g., day’s first major low/high) and keep the fan constant all day. Inputs (quick guide) * Auto Anchor (Left/Right): pivot sensitivity. Higher values = fewer, stronger anchors. * Re-anchor: refresh to newer pivots as they confirm. * Manual Anchor Price / Bar Index: fixes the fan (turn Auto off). * Scale 1×1 by ATR: on = adaptive; off = use ticks per bar. * ATR Length / ATR Multiplier: controls adaptive slope; start around 14 / 0.25–0.35. * Ticks per bar: exact fixed slope (match a hand-drawn fan by computing slope ÷ mintick). * EMA Trend Filter: e.g., 50–100; trades only in EMA direction. * Use Bounce: require touch + reverse across 1×1 (helps in chop). * TP/SL at fan lines; Fallback RR for missing levels; ATR Trailing Stop optional. * Transparency/Plot EMA: visual preferences. Tips * Range days: larger pivots (L/R 8–12), Bounce ON, ATR Multiplier \~0.30–0.40, EMA 100. * Trend days: L/R 5–6, Breakout, Multiplier \~0.20–0.30, EMA 50, ATR trail 1.0–1.5. * Match the TV Gann Fan drawing: turn ATR scale OFF, set ticks per bar = `(Δprice between anchor and 1×1 target) / (bars) / mintick`. Repainting & testing notes * Pivots require Right bars to confirm; anchors are set after confirmation (no look-ahead). * Signals use the current bar close with TradingView strategy mechanics; real-time vs. bar-close can differ slightly, as with any strategy. * Re-anchoring legitimately moves the structure when new pivots confirm—by design. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Strategi Pine Script®
oleh kedarcquant
MS - Crypto RSI-Based Trading StrategyThis is a comprehensive trend-following and momentum-based strategy designed for the cryptocurrency market. It combines multiple leading indicators to filter out market noise and generate high-quality buy and sell signals. Key Indicators: Moving Average (MA): To determine the main trend direction. Relative Strength Index (RSI): To measure momentum and identify overbought/oversold conditions. Directional Movement Index (DMI): To confirm the strength of the trend. Volume & ATR: To validate market interest and filter out excessive volatility. Buy Conditions (All Must Be True): Price and Trend Alignment: The current price is above the MA50 (with a 5% buffer). Momentum Confirmation: The RSI is between 50 and 70. Trend Strength: The +DI is greater than the -DI. Market Interest: Volume is 1.5 times its moving average. Low Volatility: The ATR is below its average. Sell Conditions (Any One Is True): Trend Reversal: The price drops below the MA50 (with a 5% buffer). Momentum Loss: The RSI drops below 45. Trend Weakness: The -DI crosses above the +DI. Market Fatigue: Volume drops below 50% of its moving average. High Volatility: The ATR is above its average. Disclaimer: This is a backtesting tool and not financial advice. Past performance is not an indicator of future results. Always use proper risk management and conduct your own research before trading.
Strategi Pine Script®
oleh mertk9l7m
Hilly 2.0 Advanced Crypto Scalping Strategy - 1 & 5 Min ChartsHow to Use Copy the Code: Copy the script above. Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.” Check for Errors: Verify no errors appear in the Pine Editor console. The script uses Pine Script v5 (@version=5). Select Timeframe: 1-Minute Chart: Use defaults (emaFastLen=7, emaSlowLen=14, rsiLen=10, rsiOverbought=80, rsiOversold=20, slPerc=0.5, tpPerc=1.0, useCandlePatterns=false). 5-Minute Chart: Adjust to emaFastLen=9, emaSlowLen=21, rsiLen=14, rsiOverbought=75, rsiOversold=25, slPerc=0.8, tpPerc=1.5, useCandlePatterns=true. Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase). Verify Signals: Green “BUY” or “EMA BUY” labels and triangle-up arrows below candles. Red “SELL” or “EMA SELL” labels and triangle-down arrows above candles. Green/red background highlights for signal candles. Arrows use size.normal for consistent visibility. Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown. Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds.
Strategi Pine Script®
oleh Hilly1976
Supertrend [TradingConToto]Supertrend — ADX/DI + EMA Gap + Breakout (with Mobile UI) What makes it original Supertrend combines trend strength (ADX/DI), multi-timeframe bias (EMA63 and EMA 200D equivalent), a structural filter based on the distance between EMA2400 and EMA4800 expressed in ATR units, and a momentum confirmation through a previous high breakout. This is not a random mashup — it’s a sequence of filters designed to reduce trades in ranging markets and prioritize mature trends: Direction: +DI > -DI (trend led by buyers). Strength: ADX > mean(ADX) (avoids weak, choppy phases). Short-term bias: Close > EMA63. Long-term bias: Close > EMA4800 ≈ EMA200 daily on H1. Momentum: Close > High (immediate breakout). Structure: (EMA2400 − EMA4800) > k·ATR (ensures separation in ATR units, filters out flat phases). Entries & exits Entry: when all six conditions are met and no open position exists. Exit: if +DI < -DI or Close < EMA63. Visuals: EMA63 is painted green while in position and red otherwise, with a supertrend-style band; “BUY” labels appear below the green band and “SELL” labels above the red band. UI: includes a compact table (mobile-friendly) showing the state of each condition. Default parameters used in this publication Initial capital: 10,000 Position size: 10% of equity (≤10% per trade is considered sustainable). Commission: 0.01% per side (adjust to your broker/market). Slippage: 1 tick Pyramiding: 0 (only one position at a time) Adjust commission/slippage to match your market. For US equities, commissions are often per share; for spot crypto, 0.10–0.20% total is common. I publish with 0.01% per side as a conservative example to avoid overestimating results. Recommended backtest dataset Timeframe: H1 Multi-cycle window (e.g. 2015–today) Symbols with high liquidity (e.g. NASDAQ-100 large caps, or BTC/ETH spot) to generate 100+ trades. Avoid cherry-picked short windows. Why each filter matters +DI > -DI + ADX > mean: reduce counter-trend trades and weak signals. Close > EMA63 + Close > EMA4800: enforce trend alignment in short and long horizons. Breakout High : requires immediate momentum, avoids early entries. EMA gap in ATR units: blocks flat or compressed structures where EMA200D aligns with price. Limitations The breakout filter may skip healthy pullbacks; the design prioritizes continuation over perfect entry price. No fixed trailing stop/TP; exits depend on trend degradation via DI/EMA63. Results vary with real costs (commissions, slippage, funding). Adjust defaults to your broker. How to use Apply it on a clean chart (no other indicators when publishing). Keep in mind the default parameters above; if you change them, mention it in your notes and use the same values in the Strategy Tester. Ensure your dataset produces 100+ trades for statistical validity.
Strategi Pine Script®
oleh toto_scalper_23
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
Strategi Pine Script®
oleh Hilly1976
AVWAP+RSI Confluence — 1R TesterRSI + 1R ATR - Monthly P\&L (v4) WHAT THIS STRATEGY DOES (OVERVIEW) * Pine strategy (v4) that combines a simple momentum trigger with a symmetric 1R ATR risk model and an on-chart Monthly/Yearly P\&L table. * Momentum filter: trades only when RSI crosses its own SMA in the direction of the trend (price vs Trend EMA). * Risk engine: exits use fixed 1R ATR brackets captured at entry (no drifting targets/stops). * Accounting: the table aggregates percentage returns by month and year using strategy equity. ENTRY LOGIC (LONGS & OPTIONAL SHORTS) Indicators used: * RSI(rsiLen) and its SMA: SMA(RSI, rsiMaLen) * Trend filter: EMA(emaTrendLen) on price Longs: 1. RSI crosses above its RSI SMA 2. RSI > rsiBuyThr (filters weak momentum) 3. Close > EMA(emaTrendLen) Shorts (optional via enableShort): 1. RSI crosses below its RSI SMA 2. RSI < rsiSellThr 3. Close < EMA(emaTrendLen) EXIT LOGIC AND RISK MODEL (1R ATR) * On entry, snapshot ATR(atrLen) into atrAtEntry and the average fill price into entryPx. * Longs: stop = entryPx - ATR \* atrMult; target = entryPx + ATR \* atrMult * Shorts: mirrored. * Stops and targets are posted immediately and remain fixed for the life of the trade. POSITION SIZING AND COSTS * Default position size: 25% of equity per trade (adjustable in Properties/inputs). * Commission percent and a small slippage are set in strategy() so backtests include friction by default. MONTHLY / YEARLY P\&L TABLE (HOW IT WORKS) * Uses strategy equity to compute bar returns: equity / equity\ - 1. * Compounds bar returns into current month and current year; commits each finished period at month/year change (or last bar). * Renders rows as years; columns Jan..Dec plus a Year total column. * Cells colored by sign; precision and maximum rows are controlled by inputs. * Values represent percentage returns, not currency P\&L. VISUAL AIDS * Two pivot trails (pivot high/low) are plotted for context only; they do not affect entries or exits. CUSTOMIZATION TIPS * Raise rsiBuyThr (long) or lower rsiSellThr (short) to filter weak momentum. * Increase emaTrendLen to tighten trend alignment. * Adjust atrLen and atrMult to fit your timeframe/instrument volatility. * Leave enableShort = false if you prefer long-only behavior or shorting is constrained. NON-REPAINTING AND BACKTEST NOTES * Signals use bar-close crosses of built-in indicators (RSI, EMA, ATR); no future bars are referenced. * calc\_on\_every\_tick = true for responsive visuals; Strategy Tester evaluates on bar close in history. * Backtest stop/limit fills are simulated and may differ from live execution/liquidity. DISCLAIMERS * Educational use only. This is not financial advice. Markets involve risk. Past performance does not guarantee future results. INPUTS (QUICK REFERENCE) * rsiLen, rsiMaLen, rsiBuyThr, rsiSellThr * emaTrendLen * atrLen, atrMult, enableShort * leftBars, rightBars, prec, showTable, maxYearsRows SHORT TAGLINE RSI momentum with 1R ATR brackets and a built-in Monthly/Yearly P\&L table. TAGS strategy, RSI, ATR, trend, risk-management, backtest, Pine-v4
Strategi Pine Script®
oleh rushikeshy3
1
Mikey’s Strategy (AutoEMA+) ⚙️ Core Idea: A long-only EMA crossover strategy that automatically selects the optimal EMA length (5–25) based on historical performance using a custom scoring system. 🎯 Entry Conditions: Price crosses above the selected EMA. (Optional) Price is above HTF EMA200 (higher timeframe trend). (Optional) ADX is above a minimum threshold. (Optional) Volume is above average × multiplier. A cooldown period has passed since the last exit. ❌ Exit Condition: Price closes fully below the EMA (current candle: high, low, and close all below), and the previous candle was above or touched the EMA. 🧠 Auto EMA Selection Logic: Scans EMAs in the range (e.g., 8–21) every N bars. Scores each EMA based on: Time price spent above the EMA Respect for EMA (touches) Trend consistency Distance from EMA (when above) Picks the EMA with the highest valid score, and updates only if it’s significantly better. 🛡️ Risk Management: No pyramiding (1 position max). Cooldown period after exit. No hard stop loss or take profit. 📊 Visuals & Alerts: Plots the selected EMA and optional HTF EMA200. Entry markers and info label on the chart. Alerts for valid entries and filtered signals.
Strategi Pine Script®
oleh Mikey1411