Next-Gen AI-Driven Automated Trading using Deep Reinforcement Learning

Bhukya Raja Kumar 1, S. Venkata Vilochan 2, S. Anand Jayakumar3, C. Reddy Lohith 4, A. Raja Vardhini5
1,2,3,4,5,6 Computer Science and Information Technology, Siddharth Institute of Engineering & Technology

Abstract- Financial markets are highly dynamic and require intelligent systems to analyse large volumes of data and make timely trading decisions. Traditional trading approaches rely on manual analysis and static rule-based strategies, which often fail to adapt to rapidly changing market conditions. To address these limitations, this research proposes a Next-Generation AI-Driven Automated Trading System using DeepReinforcement Learning (DRL). The system analyses  historical stock data, learns market behaviour, and automatically performs Buy, Sell, or Hold actionsbased on predicted trends and risk constraints. The  proposed framework also integrates risk management and performance visualization modules to ensuretransparent and stable trading operations. This  approach can assist investors and financial analysts in making data-driven and intelligent trading decisions.Keywords: Deep Reinforcement Learning, Algorithmic Trading, AI Trading System, Financial Data Analysis, Risk Management, Automated Trading.