Multi-Indicator Breakouts with Session Filters and ATR Risk Controls
Summary
This short-term breakout strategy combines price breaks of recent highs or lows with trend and momentum filters. It uses fast and slow exponential moving averages for trend direction, a simple moving average as a price filter, and RSI to avoid entries at specified overbought or oversold levels. ATR sets stop loss and take profit distances, with an optional volatility-based trailing stop. The design also supports configurable trading sessions and alerts for automated execution through a connector to MetaTrader.
The document describes calculations intended to update on each price movement and gives suggested use on very short chart intervals. It provides implementation details but no backtest results or evidence that the signals are profitable. It notes that slippage, latency, transaction costs, false breaks, and overfitting can undermine live results; ATR exits may also be inadequate in extreme moves. Volume and volatility filters, market-state classification, and position risk limits are proposed as additions rather than validated improvements.
Key ideas
- Long and short breakouts require price, moving average, and RSI conditions to align.
- ATR determines stop loss and target distances, with an optional trailing stop.
- Configurable sessions restrict when the system may trade, and alerts support automated routing.
- The description gives no strategy performance results and flags execution costs and false breaks.
- Suggested additions such as volume filters and market-state rules are not validated in the document.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.