Project Supported by Finnhub Stock API & Financial Co-pilot
Traditional portfolio management methods mainly rely on static historical data and delayed market signals, which makes it difficult to respond to rapidly changing market conditions. In today’s fast-moving financial environment, decisions based solely on past data often lag behind and reduce the effectiveness of investment strategies.
This project aims to support a system that collects, analyzes, and applies the latest financial information on a daily basis. By integrating real-time news sentiment, company fundamentals, and market trends, the system provides a dynamic and data-driven foundation for portfolio decisions.
With the help of deep reinforcement learning, it continuously learns from updated experience and adjusts portfolio allocations, enabling more adaptive and forward-looking investment management.
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