Combining 123 Reversals with Price-to-Moving-Average Divergence

Summary

This strategy combines a 123 reversal signal with a price-to-moving-average divergence signal, taking a trade only when both components point in the same direction. The reversal component looks for a two-day change in closing-price direction together with a Stochastic K-line condition. The second component measures the percentage distance between price and a moving average, generating directional states when that distance crosses configured thresholds. The document lists default settings for the oscillator and moving average, but does not report strategy performance.

The combination is presented as a way to pair short-term reversal detection with a broader trend context and reduce trades by requiring agreement. The stated backtest configuration uses BTC/USDT futures over a short date range; no outcome statistics are provided. Risks include false reversals, lag from unsuitable moving-average parameters, and the fact that distance from a moving average alone does not identify trend direction. The source also closes positions when the combined signal is neutral. Suggested improvements include parameter testing, added filters and trend assessment, and stop-loss and take-profit rules.

Key ideas

• Trades are generated only when the 123 reversal and price-to-moving-average signals agree.
• The reversal component combines consecutive daily close changes with a Stochastic condition.
• The divergence component measures percentage distance from a moving average and applies buy and sell thresholds.
• The document identifies false reversals, parameter sensitivity, and missing trend direction in the divergence measure as limitations.
• The published backtest setup contains no reported performance results.

Tags

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