Discussing the article: "Master the Z-Score: Building Mean-Reverting MQL5 Trading Systems"
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Check out the new article: Master the Z-Score: Building Mean-Reverting MQL5 Trading Systems.
This article explains how to use the Z-Score to quantify price deviations in standard deviations and apply the concept in MQL5. We cover the calculation, interpretation across market regimes, and the implementation of a custom indicator and three trading strategies as Expert Advisors. Readers get complete code examples and a testing workflow, plus practical notes on lookback selection, fat tails, execution timing, and risk controls.
Many technical indicators rely on predefined thresholds or trend-following calculations, but they do not directly answer a core statistical-trading question: how unusual is the current deviation from the recent average relative to recent volatility? This is where the Z-Score becomes useful. The Z-Score expresses the distance between a value and its mean in terms of standard deviations. In trading, this provides a normalized way to examine whether price is trading relatively close to its recent average or has moved unusually far away from it.
That makes the Z-Score particularly useful when studying mean reversion, but it can also be applied to momentum and trend-following approaches. A large positive or negative Z-Score does not automatically imply a reversal; it only indicates an unusually large deviation from the recent mean. Whether it is tradable depends on the regime, timeframe, volatility, and the strategy's assumptions.
Author: Mohamed Abdelmaaboud