Mat started trading in the stock market in 2008 – from the construction and analysis of the effectiveness of algorithmic and statistical asset management models.

Today, he is a supporter of an innovative approach to the study of financial markets, which consists of building behavior models based on pattern recognition and formalizations that describe natural and probabilistic processes.

• Application of neural networks.
• Asset management.
• Search for dominant trends and arbitrage opportunities for trading volatility.

Education: graduated with honors from the Faculty of World Economy and World Politics.

Among the classic types of investment strategies, he adheres to the concept of searching for dominant trends and arbitrage opportunities for trading volatility, creating trend and counter-trend strategies, and using statistical arbitrage in basket trading. In strategies, it uses its own additional market indication system, based on the analysis of the volatility of some of its indicators, to determine the characteristics of its state.