Аннотация:
The article contains a description of the results of development and research of intelligent system for
processing, accounting and forecasting financial assets and risks. An analysis of current problems and
technical aspects related to the assessment of financial flows and risks of loss of assets in the context
of modern market development in the field of accounting and forecasting of financial time series was
carried out. A justification is given for the feasibility and effectiveness of using machine learning
methods to automate the solution of operational and analytical problems in the field of accounting for
financial assets. The proposed concept of using machine learning within the framework of the
developed application software is described, the key aspects of its design and implementation of the
software and modular structure are considered. The results of a comparative analysis of the created
ACF and PACF models, assessment of the quality metrics of robotic models in different conditions
when assessing financial flows and risks are presented, an analysis of the results obtained is carried
out and further ways of developing the approach proposed in the article to improve its efficiency are
considered.
