Among the many methods of technical analysis of the price chart, cluster analysis occupies a special place. This method uses mathematical methods to combine trades based on specific criteria (volume, interval, price level). The cluster analysis in trading allows you to see in real-time the distribution of trading volume in a bar across all price levels clusters, i.e. to obtain objective information about the traded horizontal volumes. It became possible to perform such an analysis after developing special programs that could calculate the delta between BID and ASK orders and track the formation of trade volumes within bars.

Cluster analysis in trading involves grouping financial instruments or assets based on certain characteristics to identify patterns, correlations, or trends within the market. Traders and investors use this analytical technique to gain insights into market behavior and make informed decisions. The goal is to uncover relationships among different securities or market segments, helping traders identify potential opportunities or risks.

In cluster analysis, various factors such as price movements, trading volumes, volatility, and other relevant indicators are considered to form distinct clusters of similar assets. This can aid in portfolio diversification, risk management, and the development of trading strategies. By classifying assets into clusters, traders can better understand market dynamics and make more strategic and data-driven investment decisions. Overall, cluster analysis is a valuable tool in the trader's toolkit for navigating the complex and dynamic world of financial markets.