The SMC Market High-Low Breakout Strategy is a quantitative trading strategy based on the principles of Superior Market Concepts (SMC). It identifies significant buying/selling pressure areas (order blocks) on higher timeframes and seeks optimal breakout entry points on the current timeframe. This aligns with the SMC principle that these blocks often act as support or resistance levels. The strategy considers trend direction, inducement patterns, and risk-reward ratio to optimize entry levels and profit targets.
The SMC Market High-Low Breakout Strategy is a quantitative trading strategy based on SMC principles. It identifies key pressure areas on higher timeframes and seeks optimal breakout entry points on the current timeframe. The strategy comprehensively considers trend direction, inducement patterns, and risk-reward ratio to optimize entry levels and profit targets. Its advantages lie in filtering out noise based on higher timeframes, precisely capturing trends, and providing flexible risk management features. However, the strategy may face drawdown risks during market consolidation or early trend reversals. Future optimizations can introduce more timeframes, optimize order block boundaries, implement dynamic stop-losses, and consider market sentiment to improve the strategy’s robustness and adaptability.
//@version=5 strategy("SMC Indian Market Strategy", overlay=true) // Input Parameters htf = input.timeframe("60", title="Higher Timeframe") // For Inducement & Order Block riskRewardRatio = input.float(1.5, title="Risk:Reward Ratio", minval=0.1) // Higher Timeframe Data [htfOpen, htfHigh, htfLow, htfClose] = request.security(syminfo.tickerid, htf, [open, high, low, close]) // Trend Identification (HTF) bool htfUptrend = htfClose > htfClose[1] and htfLow > htfLow[1] // Price action bool htfDowntrend = htfClose < htfClose[1] and htfHigh < htfHigh[1] // Inducement Identification (HTF) bool htfInducementHigh = htfUptrend and high[1] > high[2] and high[1] > high[3] bool htfInducementLow = htfDowntrend and low[1] < low[2] and low[1] < low[3] float inducementLevel = htfInducementHigh ? high[1] : htfInducementLow ? low[1] : na // Order Block Identification (HTF) var float htfOBHigh = na // Highest high within the order block var float htfOBLow = na // Lowest low within the order block if htfInducementHigh htfOBHigh := htfHigh htfOBLow := htfLow else if htfInducementLow htfOBHigh := htfHigh htfOBLow := htfLow // Optimal Entry (Current Timeframe) bool longEntry = htfUptrend and close > htfOBLow and close[1] < htfOBLow // Break of OB low bool shortEntry = htfDowntrend and close < htfOBHigh and close[1] > htfOBHigh // Break of OB high // Stop Loss and Take Profit float longSL = htfOBLow float longTP = close + (close - longSL) * riskRewardRatio float shortSL = htfOBHigh float shortTP = close - (shortSL - close) * riskRewardRatio // Strategy Execution if longEntry strategy.entry("Long", strategy.long, stop=longSL, limit=longTP) else if shortEntry strategy.entry("Short", strategy.short, stop=shortSL, limit=shortTP)template: strategy.tpl:40:21: executing "strategy.tpl" at <.api.GetStrategyListByName>: wrong number of args for GetStrategyListByName: want 7 got 6