Fuzzy logic does not even smell of fuzzy logic. Not only the belonging function was taken out of the "canonical" range [0,1] to [-1,1], but the calculation of the belonging function was presented as a fuzzy indicator, which does not correspond to reality. The defuzzification stage has not been passed. Buy/sell conditions are made up. No credit. It would be better to rename the article to "Strength of the indicator based on probability", because there is no fuzzy logic here, but only probability, which also needs to be normalised
notused:
Fuzzy logic does not even smell of fuzzy logic. Not only the belonging function was taken out of the "canonical" range [0,1] to [-1,1], but the calculation of the belonging function was presented as a fuzzy indicator, which does not correspond to reality. The defuzzification stage has not been passed. Buy/sell conditions are made up. No credit. It would be better to rename the article to "Strength of the indicator based on probability", because there is no fuzzy logic here, but only probability, which also needs to be normalised.
Fuzzy logic does not even smell of fuzzy logic. Not only the belonging function was taken out of the "canonical" range [0,1] to [-1,1], but the calculation of the belonging function was presented as a fuzzy indicator, which does not correspond to reality. The defuzzification stage has not been passed. Buy/sell conditions are made up. No credit. It would be better to rename the article to "Strength of the indicator based on probability", because there is no fuzzy logic here, but only probability, which also needs to be normalised.
+1
I came to write the same thing, and here is your exhaustive comment :)
This indicator in not based on Fuzzy logic (or Fuzzy Inference System) nor an indicator based on probability theory. However, I like the idea of identifying 100% uptrend/downtrend of price action which is presented in this article.
The title is misleading, there is no fuzzy logic here, I suppose the author didn't read his reference books or misunderstood them. For the rest, it's a classical "commented code" boring article.
Don't waste your time with this article.

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New article The Simple Example of Creating an Indicator Using Fuzzy Logic is published:
The article is devoted to the practical application of the fuzzy logic concept for financial markets analysis. We propose the example of the indicator generating signals based on two fuzzy rules based on Envelopes indicator. The developed indicator uses several indicator buffers: 7 buffers for calculations, 5 buffers for the charts display and 2 color buffers.
Author: Максим Востров