In this article, we introduce our new divergence comparison blocks—a tool designed specifically to identify and analyze divergences. These blocks aim to simplify the detection of potential trend reversals, helping traders recognize weakening momentum or emerging changes. In addition to a discussion on divergence theory and practical implementation tips, our main focus is on presenting this solution. Our divergence comparison blocks offer a clear and efficient method to analyze market data, ultimately streamlining decision-making for traders and technical analysts.

The IsGreater Is/Lower Adaptive comparison block does one main thing: it checks if one indicator is greater than another, but only generates a signal if similar situations were profitable in the past.

The objective of this research is to verify whether generating strategies using adaptive blocks yields better results compared to traditional, non-adaptive blocks. As part of the experiment, we designed a method that allows us to compare thousands of strategies and perform statistical analysis on their performance.