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Information technologies and systems

October 10, 2025; Oxford, UK: IX International Scientific and Practical Conference «THEORETICAL AND EMPIRICAL SCIENTIFIC RESEARCH: CONCEPT AND TRENDS»


DEVELOPMENT OF AN INTELLIGENT ASSISTANT FOR TRADING SYSTEMS BASED ON A RECURRENT NEURAL NETWORK


DOI
https://doi.org/10.36074/logos-10.10.2025.029
Published
10.10.2025

Abstract

The stock market plays a fundamental role in the global economy by mobilizing resources, distributing capital, and serving as an indicator of economic development. Forecasting its behavior is a long-standing challenge due to the influence of numerous interacting variables, both internal and external to the market. Accurate forecasting provides investors and institutions with the opportunity to reduce risks, optimize portfolio management, and improve trading strategies.

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