The article describes the experimental confirmation of the efficiency of the algorithm for identifying suspicious financial transactions in the financial market, developed to detect market manipulation. The relevance of the study lies in the interest of financial market participants in the ongoing search for opportunities to reduce investment risks when acquiring large blocks of securities for long-term investment in the context of fundamental incompleteness and uncertainty of information about the future movement of the market over a long investment horizon. To make the results of the study more convincing, the experimental verification of the algorithm was carried out on numbers that model price trends, but describe events that do not depend on human influence - on numbers composed of the first 240 digits of π and on the numbers of protons and neutrons in the nuclei of atoms of chemical elements included in the Periodic Table. The analysis of the obtained results confirmed the correctness and efficiency of the algorithm.