Bitcoin Futures Signals from Volume RSI and Multi-Timeframe Moving Averages

Summary

This Bitcoin futures strategy combines two signal paths: a smoothed indicator derived from the RSI of cumulative price changes weighted by volume, and a linear regression of price crossing a higher-timeframe Hull moving average variant. A long entry occurs when the volume-based oscillator crosses above zero or the regression crosses above the average. Although the script calculates a short crossover, it does not use that condition to enter short positions; the direction input can also restrict trading to long, short, or both.

Exits are staged across four profit targets, with partial quantities specified for the first three, and each exit includes the same stop distance. Position size is based on equity, leverage, and a risk-percentage input. The published setup covers BTC/USDT Binance futures over about a year, using a four-hour strategy interval and fifteen-minute base data, but includes no reported results. The source exposes many parameters without explaining their rationale, and the sizing and exit settings require careful interpretation before use.

Key ideas

• The primary long signal comes from a zero-crossing in a smoothed, volume-weighted RSI-derived measure or a price regression crossing a higher-timeframe Hull average.
• The script calculates a short crossover but does not use it to open short trades.
• Exits divide a position among multiple profit targets and apply a shared stop distance.
• Position size depends on equity, leverage, and the risk percentage input.
• The stated BTC futures backtest configuration provides no performance statistics.

Tags

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