Stochastic Extreme Reversals with Cooldown and Risk Controls

Summary

This strategy seeks reversals when the stochastic oscillator reaches asymmetric extreme zones: a K-line crossover above the D-line below the oversold threshold can trigger a long, with a corresponding short setup near the overbought boundary. It uses fixed percentage stop-loss and take-profit levels, and can close a position when the oscillator reaches the opposite extreme. A cooldown after closing is intended to prevent rapid re-entry; divergence filtering is optional and disabled by default.

The document reports backtest claims for rebound probability, returns, signal filtering, win rates, consecutive losses, and divergence accuracy, but does not provide enough methodology or detailed results to assess their reliability. It describes the strategy as suited to range-bound conditions and warns that sustained extremes in strong trends can lead to counter-trend trades. The stated settings apply to a crypto futures backtest, and historical results do not establish future performance.

Key ideas

• The core entry logic uses stochastic K and D crossovers near asymmetric overbought and oversold thresholds.
• Fixed percentage stops and targets are combined with optional exits at the opposite extreme.
• A post-trade cooldown is intended to reduce rapid re-entry, while divergence filtering is optional.
• The document reports performance claims but does not provide sufficient methodology to verify them.
• Persistent oscillator extremes in strong trends can make reversal entries vulnerable to losses.

Tags

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