Market prices do not have a Gaussian probability density function as many traders think. Their probability curve is not bell-shaped. But trader can create a nearly Gaussian PDF for prices by normalizing them or creating a normalized indicator such as the relative strength index and applying the Fisher transform. Such a transformed output creates the peak swings as relatively rare events. Fisher transform formula is: y = 0.5 * ln ((1+x)/(1-x)) The sharp turning points of these peak swings clearly and unambiguously identify price reversals in a timely manner.
the chart above shows quite unbelievable result in term of trading. There should be a lot of traders billionaire around... As there is no free lunch in the market . Where is the catch ....
HPotter
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It is not true. Look at 2013.10.30. We are have a high on the indicator = 6 and go to down, but the market move up. Also if you will be see this indicator in the realtime, as any other, it will not be show very good points to entry. In the hystory all indicators is good. You should know behavior of indicator for understanding how will move a market.
jjcohen
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I am going to do some back testing plus I think there is way to optimize the indicator although it's non-linear function.
jjcohen
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Plus as any indicator it tends to work poorly in a low volatility environment (which I believe is the case In 2013.10.30)