qaoa-portfolio-space

QAOA Portfolio Optimizer (Hugging Face Space)

This Space builds a mean–variance portfolio selection QUBO and solves it with a QAOA variational circuit (PennyLane).
Optionally verifies the solution with a classical brute-force when the asset count is small.

How to use

1. Click "Run QAOA".
2. With no file uploaded, a 6-asset demo runs.
3. Or upload a CSV of prices:
   • First column: Date
   • Other columns: tickers (closing prices)
4. Adjust:
   • Risk aversion λ
   • Target picks k
   • Penalty α
   • QAOA depth p, Steps, Shots
5. Inspect logs, JSON, and selection table.

Data assumptions

• We compute annualized mean log-returns and covariance from your prices.
• Values are illustrative only; do your own backtesting before any real use.

Local run

pip install -r requirements.txt
python app.py