Moving Average Crossovers with a Long-Term Trend Filter
Summary
This medium- to long-term strategy uses a fast and slow moving average crossover to identify directional signals, then filters entries according to price relative to a longer-term average. The discussion gives 20- and 50-day averages for the crossover and a 200-day average as an example filter. The supplied implementation uses configurable EMA or SMA choices for the filter and crossover, and includes optional percentage stop and target settings. A published BTC/USDT futures backtest interval is listed, but no results or performance statistics are provided.
The approach is simple to interpret and may reduce trading during range-bound conditions, though the document offers no evidence that it improves win rate. Crossovers can whipsaw when prices hover near averages, and long lookbacks respond slowly to reversals. The source also includes an unused source-average setting and a trading window that is always enabled, so those inputs do not affect its actual signals. Parameter selection and market-specific validation remain important limitations.
Key ideas
- Fast and slow moving average crossovers provide the directional trade signals.
- A longer-term moving average can filter signals according to the prevailing price trend.
- Optional stop-loss and take-profit levels are included in the implementation.
- Whipsaws and delayed reactions are key risks of moving average systems.
- The listed backtest settings do not include performance results.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.