
Developed an AI-assisted financial news scraping and market summary feature for the nusduck/qf5214_StockAgent repository, focusing on automating the extraction and analysis of market insights. Leveraging Python and Jupyter Notebook, the solution integrated web scraping from Eastmoney.com with natural language processing using LangChain and Moonshot’s ChatOpenAI. The workflow included data extraction, prompt-driven NLP processing, and structured output generation to highlight market trends, related news, and stock performance. The codebase was designed to be modular and maintainable, laying the foundation for future dashboard integration and multi-source analytics expansion, with an emphasis on scalable AI and API integration techniques.
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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