
During April 2025, Yifan developed an AI-assisted financial news scraping and market summary feature for the nusduck/qf5214_StockAgent repository. Using Python and Jupyter Notebook, Yifan implemented an end-to-end workflow that extracts news from Eastmoney.com, processes it with LangChain and Moonshot’s ChatOpenAI, and generates structured market insights. The solution leverages prompt-driven natural language processing to identify trends, related news, and stock performance, supporting faster decision-making and dashboard integration. The codebase was designed to be modular and maintainable, laying a foundation for future multi-source expansion and advanced analytics. This work demonstrated depth in AI integration and financial data engineering.
April 2025 Monthly Summary for nusduck/qf5214_StockAgent: This month focused on delivering an AI-assisted market-insight feature by scraping financial news and generating structured summaries to support faster decision making and dashboards. The work lays the groundwork for multi-source expansion and AI-driven analytics.
April 2025 Monthly Summary for nusduck/qf5214_StockAgent: This month focused on delivering an AI-assisted market-insight feature by scraping financial news and generating structured summaries to support faster decision making and dashboards. The work lays the groundwork for multi-source expansion and AI-driven analytics.

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