Crypto Trend Following with a 10/100 Moving Average Crossover

Summary

This trend-following method compares a fast moving average with a slower one. A bullish signal occurs when the 10-period average crosses above the 100-period average, prompting a long position; a cross below prompts a short. The parameters allow either SMA or EMA calculations and a choice of price source, while the published defaults use close prices and the two stated periods.

The document presents the method as a simple way to follow potential trend changes in Bitcoin and other cryptocurrencies. Its example backtest configuration uses BTC/USDT futures on a six-hour chart during roughly one month, but provides no measured performance results. The stated limitations are familiar to crossover systems: signals arrive after price has moved, and repeated crosses in sideways markets can cause whipsaws. The text recommends evaluating the parameters through backtesting or paper trading and considering additional filters and stop-loss rules. These proposals are not demonstrated with evidence in the document, so they should be treated as possible extensions rather than validated improvements.

Key ideas

• A 10-period average crossing above a 100-period average triggers a long signal, while a downward cross triggers short exposure.
• The inputs allow the user to select SMA or EMA and choose the price series.
• Crossover signals can lag and generate whipsaws in ranging markets.
• The example concerns BTC/USDT futures, but the document reports no backtest performance figures.

Tags

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