Moving Average Crossover Trend Strategy with Percentage Stops

Summary

This note describes a trend-following approach built around a short simple moving average and a longer one set to twice its period. A bullish crossover signals a long entry, while a bearish crossover signals a short entry. The described entries use market orders when the strategy has no open position, with percentage-based stop-loss and take-profit levels measured from entry. The averages are also plotted to show the signal context.

The document gives a conceptual explanation and lists configurable inputs, plus a sample backtest setup for BTC/USDT futures. It does not report performance results, so it provides no evidence that the rules are profitable. Its own cautions include lagging signals, false crosses during sharp or choppy price moves, and overfitting from tuning moving-average periods. It suggests adding filters, comparing stop methods, and testing position sizing, but does not specify or validate those changes. The source logic also uses price-level conditions and delayed signal checks, so the prose description of crossover entries should not be assumed to capture every implementation detail.

Key ideas

• A short moving average crossing above or below a longer average supplies the directional signal.
• The longer average uses twice the period of the short average.
• The described rules enter only when no position is open and pair entries with percentage stops and targets.
• Lag, whipsaws, and parameter overfitting are key limitations, and no performance results are supplied.

Tags

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