High School Student Builds AI-Powered Stock Research Assistant Using Python
A high school student with interests in AI, programming, and quantitative research has developed an AI Stock Research Assistant as a personal project. The tool was built using Python, Streamlit, Plotly, and financial data APIs. Its primary aim is to make stock research more accessible by consolidating key information, including stock price and performance data, into a single platform. The project was built from scratch and has been continuously updated as the developer learns new skills. The source code has been made publicly available on GitHub, and the creator shared the project on DEV Community while inviting feedback from fellow developers.
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