AI-powered stock recommendation tracker. Extracts analyst sentiment from YouTube videos and displays consensus scores on a public dashboard.

• Ingests YouTube video URLs via an admin interface
• Fetches transcripts and runs them through Claude to extract stock picks, sentiment, and conviction
• Aggregates recommendations into a weighted consensus score per ticker
• Serves a public, read-only dashboard with real-time data from Supabase

cd backend
python -m venv venv && source venv/bin/activate
pip install -r requirements.txt
cp .env.example .env   # fill in keys
uvicorn app.main:app --reload --port 8000

cd frontend
npm install
cp .env.example .env.local   # fill in keys
npm run dev

cd backend && pytest

YouTube URL → metadata + transcript → Claude extraction → Supabase → Dashboard

Each video produces structured recommendations (ticker, sentiment, conviction, target price) that feed into per-ticker consensus calculations weighted by channel trust.

Private.