Swing Strategy Using Aligned Stochastic Cycles and Volume

Summary

This swing strategy looks for alignment among three stochastic measures with short, medium, and longer lookbacks. It enters long when the measures are ordered upward and their relative spread exceeds a threshold, provided either shorter-cycle momentum is positive across two measures or volume strength confirms activity. The post describes it for H4 and daily charts. It exits when alignment fails or the shortest cycle’s momentum turns negative, and mentions an optional protective stop.

The strategy is presented as a mechanical example, but the document supplies no backtest results, market-specific evidence, or transaction cost assumptions. Position size is left as a placeholder, and it does not define portfolio-level risk controls. The code also includes a volume condition based on positive momentum and uses state variables to track position, so implementation and platform behavior should be checked before use. The stated timeframes and thresholds are author choices, not demonstrated optimal settings.

Key ideas

• The method compares three stochastic measures to identify aligned cycles.
• A long entry requires cycle alignment and sufficient separation, plus momentum or volume confirmation.
• The exit is triggered by loss of alignment or negative momentum in the shortest cycle.
• The post gives no performance evidence, transaction cost analysis, or complete position sizing rules.

Tags

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