Work built with Python

Crypto paper-trading and market education — live prices, practice portfolios, sentiment.

A Next.js client on Vercel against a Python API on Render, with Supabase for auth and Postgres behind row-level security. Prices come from CoinGecko; sentiment is scored by a FinBERT model running in the API. The trading surface is paper-only by design, and the education layer, The Read, is a factual status card about a token rather than a call. Ships as a paid product on Stripe.

• Next.js
• React
• TypeScript
• Tailwind
• FastAPI
• Supabase
• Postgres + RLS
• Stripe

Python finance tracker — the math layer Aureus was built on.

A Streamlit application for tracking portfolio performance and sentiment. Its finance-metrics and sentiment modules became the computational core that Aureus reuses, which is why the two share behaviour despite being different stacks.

• Python
• Streamlit
• pandas