Multi-Timeframe Trend Filters for Breakout Trading
Summary
The document outlines a breakout system that filters entries using trend, momentum, strength, and volume. It describes EMA alignment and a one-hour EMA comparison for direction, RSI ranges and MACD histogram sign for momentum, plus ADX and SuperTrend agreement. A volume filter can require current volume to exceed its moving average. The described exits combine percentage-based stop and target levels with indicator reversals, while ATR is proposed as an input to position sizing.
The article lists risks including lagging indicators, too many filters, parameter sensitivity, stop-outs during volatility, and conflicts across timeframes. It suggests regime classification, adaptive parameters, and improved exits, but offers no measured results or specific backtest evidence. The visible code excerpt is incomplete and does not fully support all claims in the description; for example, the displayed ATR sizing calculation is not visibly applied to entries. Treat the framework as a proposed design whose rules, sizing, and execution need validation before drawing conclusions.
Key ideas
- The proposed entries align EMA trend, higher-timeframe direction, RSI, MACD, ADX, and SuperTrend.
- A volume filter can require activity above its moving average.
- The design describes percentage exits and ATR-based risk sizing, but the visible code excerpt does not show all these claims in operation.
- Multiple filters may reduce false signals while also excluding valid trades.
- No performance results are provided, and the rules require independent backtesting.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.