Fast and Slow Moving Average Crossover Trend Strategy

Summary

This document describes a long-only trend-following approach using crossovers between fast and slow moving averages. It offers SMA, EMA, or WMA calculations, with default lengths of 21 and 34. A fast average crossing above the slow average opens a long position; a cross below closes it. The strategy presents adjustable averages as a way to adapt its signals, but does not explain a rule that automatically changes their lengths.

The document lists risks typical of crossover systems: lag during volatile markets, frequent trades and associated costs, losses around reversals, and sensitivity to parameter choices. It recommends stop losses, additional trend filters, and parameter optimization as possible refinements. The published backtest settings specify BTC/USDT futures and a date range, but no performance results are reported. The source also defines its date-range check to always return true, so the date inputs do not actually restrict trades. No evidence establishes profitability or robustness.

Key ideas

• A fast moving average crossing above a slow one triggers a long entry.
• A downward crossover closes the long position.
• The implementation offers SMA, EMA, and WMA calculation choices.
• Moving average lag and whipsaw trades can reduce performance and raise costs.
• The published backtest settings give a market and period but report no results.

Tags

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