Сучасні проблеми обчислювального та штучного інтелекту в сфері ведення особистих фінансів та торгівлі на фінансових ринках

Abstract

Modern computational methods and artificial intelligence play a crucial role in personal finance and financial market trading. The main challenge is developing intelligent systems capable of real-time data processing, risk assessment, and personalized financial recommendations. The relevance of this issue is driven by market volatility, increasing data complexity, and the need for automation in decision-making. Existing solutions include algorithmic trading, robo-advisors, and AI-driven risk management. However, these approaches face limitations in adaptability and transparency. Our proposed solution focuses on enhancing AI models with explainability, real-time analytics, and adaptive learning to improve financial decision-making.