What is the Meaning of Z-Score?

A Z-score is a statistical measure indicating how many standard deviations an individual data point is from the mean of a dataset. In crypto, it can quantify the deviation of a price, volume, or other metric from its historical average, providing insight into unusual activity. It normalizes data for comparative analysis.

What is the Mechanism of Z-Score?

The Z-score is calculated by subtracting the population mean from an individual raw score and then dividing the difference by the population standard deviation. For market data, a high absolute Z-score for a crypto asset's price change or trading volume may signal an outlier event or significant market interest. This mechanism transforms raw data into standardized units.

What is the Methodology of Z-Score?

Z-scores are used in quantitative finance and smart trading systems to normalize data for comparison, detect anomalies, and identify potential trading signals or risk exposures. Institutional desks apply Z-scores for real-time inference in detecting unusual price movements or liquidity shifts that warrant attention in RFQ or options trading. This analytical tool supports data-driven decision-making.

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