Trend-Filtered Breakouts with RSI and ATR Risk Controls

Summary

This breakout framework combines trend direction, momentum filtering, and volatility-based exits. It treats a fast EMA above a slow EMA as an uptrend and below it as a downtrend. A long signal requires a close above the recent high, with the current bar excluded from the lookback, while a short signal requires a close below the recent low. RSI filters out long entries above its overbought threshold and short entries below its oversold threshold.

Initial stop placement and trailing protection use ATR multiples, allowing exit distances to respond to changing volatility. The article also describes chart markers and webhook alerts, but these are execution aids rather than evidence of strategy performance. It warns that brief breakouts can reverse, moving averages lag during trend changes, and extensive parameter tuning may overfit. Volume confirmation, higher-timeframe context, position sizing, profit targets, and drawdown controls are proposed as extensions. No backtest results are provided, so the strategy’s profitability and robustness remain unestablished.

Key ideas

• The strategy enters breakouts in the direction indicated by a fast and slow EMA relationship.
• RSI thresholds filter long entries in overbought conditions and short entries in oversold conditions.
• ATR multiples set initial and trailing stops that adapt to market volatility.
• False breakouts, lagging trend signals, and parameter overfitting are identified as risks.
• Webhook alerts are included, but the document supplies no performance evidence.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.