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2018.10.17 17:05
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In a lot of cases we need some way to measure the volatility

Among the other ways, here is one simple way : it is a ratio of (sum of price differences) to average of (sum of price differences). As simple as it gets, it seems to be detecting the market volatility in acceptable way. As a point of reference :

  • values above 1 are periods of increased volatility
  • values bellow 1 are periods of decreased volatility

As it can be seen it detects the volatility change OK even in a "thin" market (when the average difference is small and when even a small change is and should be treated as significant volatility change)


Ehlers Fisher transform Ehlers Fisher transform

Ehleres Fisher transform

Leader EMA Leader EMA

Leader EMA

Volatility adjusted RSI Volatility adjusted RSI

Volatility adjusted RSI

Volatility adjusted WPR Volatility adjusted WPR

Volatility adjusted WPR (Williams Percent Range)