MTF Structure Breakout Strategy by AIScripts
By AIScripts
Performance Metrics
- Author: AIScripts
- Symbol: BSE:APPL
- Timeframe: 1 minute
- Net P&L: +181.07 INR (+0.18%)
- Win Rate: 43.6%
- Profit Factor: 1.086
- Max Drawdown: 947.38 INR (0.95%)
- Total Trades: 39
Description
Strategy IdeaThis strategy combines higher timeframe trend direction with lower timeframe structure breakouts. Instead of trading every breakout, it aligns entries with the broader market direction and waits for confirmation from recent price structure.The goal is to improve trade selection by filtering signals through both trend context and local market behavior.How It Works1. Higher Timeframe Trend FilterA higher timeframe EMA is used to define the overall direction.Price above HTF EMA → bullish biasPrice below HTF EMA → bearish biasThis helps avoid trades against the dominant trend.2. Market Structure LevelsThe script tracks recent highs and lows over a lookback period.Highest high → resistance referenceLowest low → support referenceThese levels act as structure zones.3. Breakout ConfirmationTrades are triggered only when price breaks these structure levels:Break above recent high → potential continuation upwardBreak below recent low → potential continuation downward4. Volatility-Based Risk ManagementStop-loss and take-profit levels are calculated using ATR.Stop-loss adapts to volatilityRisk-to-reward ratio defines the targetKey FeaturesMulti-timeframe trend alignmentStructure-based breakout entriesATR-based adaptive exitsNon-repainting logicDesigned for backtesting and experimentationWhen It May Perform BetterTrending marketsVolatility expansion phasesHigher timeframe directional movesIt may produce fewer signals in low-volatility or sideways conditions.Important NoteThis strategy is intended for testing and learning purposes. Results vary depending on market conditions, timeframe, and parameter selection. Always validate across multiple instruments before using it in live environments.