Moving Average Reversion with a Percentage Entry Gap

Summary

This strategy compares a short-period simple moving average with a longer-period one. It opens a long position when the short average crosses below a threshold set a percentage under the long average, then closes when the short average crosses back above the long average. The described default periods are 2 and 5, with a 3% entry gap. The document presents the gap as a way to identify a possible rebound toward the longer average.

The discussion suggests trying different price inputs and moving-average types, adding trend or volume filters, and tuning parameters. It also flags sparse signals, missed reversals, and higher costs or slippage if settings create too many trades. The included backtest configuration uses BTC/USDT futures over a stated date range, but no performance results are reported. Its claims about parameter optimization are therefore proposals, not evidence that the method is profitable; the strategy is long-only and needs testing across market conditions and costs.

Key ideas

• The strategy enters long when the short moving average crosses below a percentage-based threshold under the long moving average.
• It closes the position when the short moving average crosses back above the long moving average.
• The described defaults use moving-average periods of 2 and 5 and an entry gap of 3%.
• Possible refinements include alternate price inputs, moving-average types, trend filters, and volume indicators.
• Sparse signals, missed reversals, parameter sensitivity, and trading costs are cited as limitations.

Tags

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