Multi-Timeframe RSI Slope and Momentum with ATR Exits
Summary
This strategy combines RSI readings from multiple timeframes using logarithmic weights, then looks for agreement between the slope of the weighted RSI and its smoothed average. It adds a second confirmation based on changes in those slopes, intended to distinguish stronger momentum from weak movement. A threshold that scales with chart duration adjusts signal sensitivity. Optional Heikin Ashi prices and alternate price sources change the data used in calculations. Risk controls set stop and target distances from ATR, and the design includes a short window for taking an opposite signal after a take-profit exit.
The document reports reductions in false signals and drawdown, along with added returns attributed to re-entry, but gives no underlying trade counts, test methodology, or performance tables to assess those claims. It warns that ranging markets can produce repeated losses, multi-timeframe calculations need sufficient history, and reversal re-entry can compound losses on false signals. The included backtest settings specify ETH/USDT futures, but the source is incomplete, limiting independent review of the implementation and reported results.
Key ideas
- Weighted RSI values from several timeframes are used to form a combined momentum measure.
- Signals require both RSI slope and slope acceleration to pass thresholds.
- The slope threshold scales with chart duration, while ATR sets stop and target distances.
- A short re-entry window can open an opposite position after a take-profit exit.
- Reported performance claims lack enough testing detail for independent evaluation.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.