Combining Stochastic Reversal Signals with CMO Thresholds

Summary

This strategy combines a 123-style reversal rule based on recent closes and Stochastic readings with a second rule based on the absolute value of the Chande Momentum Oscillator (CMO). The first component uses a Stochastic level around the midpoint alongside consecutive price moves; the second treats high absolute CMO readings as a short condition and low readings as a long condition. A position is taken only when both components agree, with an option to reverse the resulting direction. When the signals do not agree, the script closes positions.

The document presents this agreement rule as a way to combine momentum and reversal information, while noting lag, false signals, potential trading costs, and the need to tune parameters across instruments. It proposes additional filters and adaptive methods but supplies no supporting performance evidence. The published test setup uses BTC/USDT futures over a short period; no returns or other backtest outcomes are reported. Some prose and parameter details appear inconsistent with the included source, so the exact implementation warrants review.

Key ideas

• The strategy combines a price-and-Stochastic reversal component with an absolute-CMO threshold component.
• It enters only when both components indicate the same direction.
• The script can invert signals and closes positions when the combined signal is neutral.
• The document flags lag, false signals, trading costs, and instrument-specific parameter choices.
• No performance results are supplied, and some written settings differ from the source.

Tags

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