1Finance

Pattern recognition has always been a valuable tool for traders. Whether it's identifying unique combinations of candlesticks or drawing imaginary lines on a chart, these patterns have become an integral part of technical analysis. Humans have always excelled at finding and recognizing patterns—so much so that it is often said we sometimes see patterns where there are none. Therefore, it would benefit us to apply more objective techniques when identifying potentially profitable patterns in financial time series. In this article, we discuss the application of Dynamic Time Warping (DTW) as an objective technique for finding unique patterns in price data. We will explore its origins, how it works, and its application to financial time series analysis. Additionally, we will present the implementation of the algorithm in pure MQL5 and demonstrate its use through a practical example.

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