Z-Score Crossover Strategy

Article Strategy library · Author: ianzeng123

Summary

This strategy standardizes closing price relative to a rolling mean and standard deviation, then smooths the resulting Z-score with short and long averages. The described entry occurs when the short smoothed line crosses above the long line; a downward cross signals an exit. A spacing rule limits how often repeated signals can be acted on. The document also includes conventional moving averages as visual trend references and describes alerts and position feedback.

The article presents the method as a way to identify unusually distant prices and possible mean reversion, but gives no empirical performance results. It notes that parameters affect signal frequency, smoothing creates lag, and repeated crosses in sideways markets may raise costs. Z-scores rely on distribution assumptions that may not hold during extreme moves, and the described version has no explicit stop-loss. The accompanying implementation uses above/below state conditions rather than explicit crossover checks, so its actual signal behavior may differ from the prose description.

Key ideas

A rolling Z-score expresses price distance from its mean in standard deviation units.
The stated signal compares short and long smoothed Z-score lines.
A minimum bar gap is intended to reduce repeated signals.
The document presents conventional moving averages as visual trend references, not as the primary trigger.
The strategy has no explicit stop-loss, and the code’s state conditions may differ from the described crossover rules.

Z-Score Crossover Signals with Moving Average Context

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Key ideas

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