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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -32,7 +32,7 @@ Stationarity: A time series is defined to be stationary if its joint probability
mostly invariant under translations in time or space. In particular, and of key importance for
traders, the mean and variance of the process do not change over time or space and they
each do not follow a trend.If a time series is stationary in nature, we observe that the probability distribution is invariant
and hence a lot of factors somewhat constant remain in control and such a series is easier to
and hence, a lot of factors somewhat constant remain in control and such a series is easier to
work upon for statistical purposes. Hence, calculating the stationarity of the series becomes
important.To calculate the stationarity of a time series, we have made use of the concept of Hurst
Exponent.
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