Three Moving Average Trend Strategy with ATR-Based Exits

Summary

This strategy combines a short weighted moving average, a medium exponential moving average, and a long simple moving average to identify directional alignment. It seeks entries when the averages indicate a trend and price action revisits the medium average under specified recent-candle conditions. The system allows one open position at a time and can take either long or short trades.

Targets and protective stops are set using multiples of average true range, while a crossover between the short and long averages can close a trade. The published configuration describes a short BTC futures backtest over a brief period, but gives no outcome statistics, so it does not establish profitability or robustness. The accompanying discussion flags false crossover signals, sensitivity to ATR settings, and exposure to sudden market moves. It suggests parameter testing and holding-time limits, both of which would need out-of-sample validation to avoid overfitting.

Key ideas

• Trend direction is identified through alignment among weighted, exponential, and simple moving averages.
• Entry conditions add recent price interactions with the medium average to filter signals.
• ATR multiples determine the initial profit target and stop distance.
• A short-to-long average crossover can close an open position, which is limited to one at a time.
• The supplied backtest setup has no reported results and is too limited to validate performance.

Tags

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