A measurement of the similarity between a given time Series and a lagged version of the same time series. For example, if the price of a stock follows similar patterns over two time series, it has a high degree of autocorrelation. Autocorrelation ranges from +1 to -1, with +1 meaning perfect positive correlation and -1 meaning perfect negative correlation (values increase in one time series and decrease in the other).
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