Log-Transformed Weighted Moving Average Crossover Trend Strategy

Summary

This trend-following method applies a logarithm to closing prices, calculates short- and long-period weighted moving averages in that transformed space, then converts the averages back before generating crossover signals. An upward cross opens a long position and a downward cross opens a short position. The stated defaults use 5- and 20-period averages.

The document says the transform is intended to reduce the influence of extreme price changes and that weighted averages respond more quickly than simple averages. It provides BTC/USDT futures backtest settings on daily data spanning February 2022 to February 2025, but reports no performance results. It warns that crossovers can whipsaw in ranging markets, fixed periods may not suit all conditions, and transformation may delay signals during extreme moves. It recommends risk controls such as stops and position sizing, which are not specified in the supplied trading rules.

Key ideas

• The method smooths logarithmically transformed closing prices with two weighted moving averages.
• An upward short-average crossover signals long entry, while a downward crossover signals short entry.
• The stated periods are 5 and 20, and the test configuration uses daily BTC/USDT futures data.
• No performance results are supplied, and the crossover logic may generate repeated false signals in sideways markets.

Tags

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