Inspiration
Experiences with amateur/retail stock trading through platforms like Robinhood, Webull and Kalshi have led us to wanting to find companies we can invest in while also
What it does
Users complete a short onboarding form (hobbies, financial goals, risk appetite), and the platform uses a multi-step AI pipeline — powered by Featherless LLM, Tavily research, and live Alpaca market data — to recommend and rationalize a curated portfolio of stocks in real time.
How we built it
Backend in Python with FastAPI, SQLAlchemy and SQLite. Frontend built using React and Vite. LLM usage through Featherless, Research with Tavily and Market data from the Alpaca API as well as yfinance
Accomplishments that we're proud of
Managed to leverage both Tavily and Featherless for LLM-based stock analysis
Built With
- alpaca
- fastapi
- featherless
- javascript
- python
- react
- sqlalchemy
- sqlite
- tavily
- vite
- yfinance
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