Cumulative RSI Breakouts with an Optional Trend Filter

Summary

This strategy sums RSI readings across a configurable number of bars, then uses threshold crossings to time long trades. A long entry occurs when cumulative RSI crosses above its lower threshold, while a position closes when it crosses above its upper threshold. An optional filter allows entries only when price is above an exponential moving average. The document describes the thresholds as dynamic Bollinger levels, but the supplied source code instead calculates them as scaled constants from the RSI parameters, so that explanation does not match the implementation.

The published discussion claims a decade of backtest outperformance, but the listed test settings cover only about a month of BTC futures data, and no performance figures are provided. The strategy is long-only and relies on a single indicator; the document itself flags leverage, parameter sensitivity, and limited exit logic as concerns. It suggests further testing, additional filters, and more developed stop rules, but does not establish that these changes improve results.

Key ideas

• Cumulative RSI is formed by adding RSI values across a configurable lookback.
• A threshold crossing triggers a long entry, and a separate crossing closes the position.
• An optional moving average filter restricts entries to periods when price is above the average.
• The written description of dynamic Bollinger thresholds differs from the fixed threshold calculation in the supplied code.
• The published backtest settings cover a short period and do not substantiate the claimed decade-long results.

Tags

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