Moving Average Trend Signals with ATR, Volume, and Time Filters
Summary
This strategy framework pairs fast and slow moving averages, with a choice among several average types, to identify directional conditions. Long signals require price and the fast average to be above the slow average; short signals use the opposite alignment. The described filters add ATR-based volatility thresholds and minimum distance from the slow average, a higher-timeframe trend check, volume conditions, and a trading-time window. Exits use ATR-scaled stops, profit targets, and trailing stops.
The document also describes monitoring measures and proposes further refinements such as adaptive parameters and volatility-aware position sizing. It offers a design description rather than evidence that the combined rules work: no usable performance results or clear test settings are supplied in the visible material. The source excerpt is incomplete, so implementation details cannot be fully checked. Numerous selectable averages and thresholds create a substantial risk of overfitting, and moving-average lag, misleading volume, missed off-hour trades, and price gaps can all weaken live results.
Key ideas
- Fast and slow moving-average alignment determines the strategy's basic long and short direction.
- ATR filters screen volatility and distance from the slow average, and scales stop and target levels.
- A higher-timeframe trend check, volume requirements, and trading hours further restrict entries.
- The document describes a complex framework but provides no clear performance evidence in the supplied material.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.