Archive for April, 2016

Hurst Exponent Deviations: Expected values for efficient data series

During the past few weeks we have looked both at the standard deviation and autcorrelation for the fractal dimension (FD) and Hurst Exponent (HE) of 200 hour sliced data on 16 different Forex symbols. From this analysis we were able to rank symbols according to the standard deviation of their HE or FD values which corresponded nicely […]

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