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The Exponential Weighted Moving Average (EMA) is ubiquitous in signal processing, especially in the algorithmic trading scene. It serves to filter out noise from the signal and compute an average/expected value, with recent samples carrying more significant weight in the calculation. Although this is a fundamental tool, the underlying theory can be confusing. This post attempts to make things clear regarding the theory and practical usage of EMA.