Purpose: dynamic reproduction of multi-trend stock market processes. Discussion: the authors consider adaptation principles as the basis of the mechanism of the effective stock market. Considering the behavior of the stock market as the behavior of a single social and economic system, having the properties of self-adjustment, self-regulation, adaptation to new, continuously changing conditions, the stock market theories recognized by the scientific community, but disparate and opposing stock market theories, can be considered as a complementary. The fact that the stock market is volatile and follows variable rules at different time intervals formed the understanding of the multi-trend processes of the stock market. Results: the authors introduce the concept of a basis trend and make suggestions concerning its properties. A formal statistical model of the multi-trend process has been proposed, it is introduced as a set of trend components. This model formed the basis of dynamic technology of the adaptive trend decomposition of financial time series, demonstrated in the empirical part.

This paper examines a set of measures for enhancing the financial-lending mechanism of government regulation and support of the agro-industrial complex (AIC) as part of the implementation of the Government Program for the Development of the Agro-Industrial Complex in Kazakhstan for the Period 2017–2021 and Russia’s Government Program for the Development of Agriculture and Regulation of Markets for Agricultural Produce, Raw Materials, and Food for the Period 2013–2020. The authors have analyzed the volumes of investment and subsidies directed at carrying into effect a set of activities on stimulating investment activity in the AIC. The paper brings forward a set of ways to enhance the mechanism of funding agricultural entities for the purpose of boosting the efficiency of agricultural production in the country.