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The Dynamic Time Warping (DTW) indicator measures the similarity between two sequences of price data by aligning them in a way that minimizes their distance. It’s useful for identifying repeating patterns or aligning similar patterns even if they are stretched or shifted in time.

The Wasserstein Distance indicator is a tool designed to measure how the market’s price distribution changes over time. It works by comparing two sets of historical price data, one from the most recent bars and one from a prior period. The goal is to identify shifts in the underlying price structure, giving you early insight into potential changes in market behavior.

The Kolmogorov-Smirnov Test (KSTest) indicator is a statistical tool used in quantitative trading to compare two data samples and determine if they come from the same distribution. In this implementation, the indicator compares a recent sample of price data ( Period1) with a historical sample (Period2) to detect significant changes in the underlying distribution of the data.