EMA-RSI Trend Signals with Sigmoid Probabilities and ATR Exits

Summary

This strategy combines three EMAs, RSI, and ATR to generate directional signals. It maps the EMA spread and RSI readings through sigmoid functions, then uses probability thresholds to qualify long and short entries. The stated defaults are EMA lengths of 9, 19, and 55, a 14-period RSI and ATR, and a quantum-walk factor of 0.1. The document describes ATR-based stop and target levels that change with a periodic bar-index decay factor.

The material explains the rules and suggests that multiple indicators can filter weak signals, but supplies no performance results. Its “quantum” framing is a label for transformations of conventional indicators; the described calculations do not establish a quantum computation or validate predictive probabilities. The exit formula and periodic decay also merit scrutiny: the stated decay makes the ATR distances expand as the factor decays, despite the prose saying the stop range narrows over time. Parameter sensitivity, ranging markets, reversals, overfitting, and execution costs are noted as limitations; out-of-sample evaluation is recommended.

Key ideas

• EMA spread is converted to a trend probability and compared with directional thresholds.
• RSI is transformed into a directional probability used alongside the EMA trend filter.
• ATR-based exits are adjusted by a periodic time factor, though the described formula conflicts with the stated narrowing-stop effect.
• The document provides strategy rules but no evidence of profitable performance.

Tags

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