
Developed and enhanced the nusduck/qf5214_StockAgent repository over two months, delivering a stock technical analysis tool with persistent analytics and a robust project foundation. Built an end-to-end Python data pipeline that ingests historical stock data, computes technical indicators such as MACD, RSI, and KDJ, and persists results in a dedicated SQL database table for downstream reporting. Improved the user interface using React and Next.js, added file upload capabilities, and synchronized code with cloud infrastructure. Maintained repository hygiene by removing unnecessary files and directories, ensuring a lean codebase. Demonstrated skills in Python, SQL, React, data engineering, and workflow orchestration.
April 2025: Delivered foundation, UI refinements, cloud synchronization, and repository hygiene for nusduck/qf5214_StockAgent. Summary: Established project scaffold and assets to kick off development; refined UI across core components (page.tsx, hero.tsx, navbar.tsx); synchronized code with the cloud server and updated global scripts; added a UI-based file upload feature; and cleaned the repository by removing unnecessary directories/files (node_modules, reports, images, CSVs, and database data). These efforts created faster onboarding, a more consistent user experience, reliable deployment pipelines, and a leaner codebase for scalable growth. Technologies demonstrated include React/Next.js UI components, cloud/script automation, file upload integration, and proactive repository hygiene.
April 2025: Delivered foundation, UI refinements, cloud synchronization, and repository hygiene for nusduck/qf5214_StockAgent. Summary: Established project scaffold and assets to kick off development; refined UI across core components (page.tsx, hero.tsx, navbar.tsx); synchronized code with the cloud server and updated global scripts; added a UI-based file upload feature; and cleaned the repository by removing unnecessary directories/files (node_modules, reports, images, CSVs, and database data). These efforts created faster onboarding, a more consistent user experience, reliable deployment pipelines, and a leaner codebase for scalable growth. Technologies demonstrated include React/Next.js UI components, cloud/script automation, file upload integration, and proactive repository hygiene.
February 2025 highlights for nusduck/qf5214_StockAgent: Delivered an end-to-end Stock Technical Analysis Tool with Data Persistence, enabling persistent analytics and data-driven decision support. The feature introduces a Python data pipeline that fetches historical stock data, computes key indicators (MACD, RSI, KDJ), and stores results in a dedicated stock_tech_table for downstream reporting and decision-making. This work establishes reproducible analytics and reduces manual effort for investment insights.
February 2025 highlights for nusduck/qf5214_StockAgent: Delivered an end-to-end Stock Technical Analysis Tool with Data Persistence, enabling persistent analytics and data-driven decision support. The feature introduces a Python data pipeline that fetches historical stock data, computes key indicators (MACD, RSI, KDJ), and stores results in a dedicated stock_tech_table for downstream reporting and decision-making. This work establishes reproducible analytics and reduces manual effort for investment insights.

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