Finalize & Expand Options Scanner

My Python-based options scanner is live on a DigitalOcean droplet and already passes 355 unit and integration tests; only the last mile of code integration needs to be verified with fresh end-to-end tests. Once that is stable I want the system expanded to scan roughly 500 optionable U.S. equities four times per trading day, pull live stock and options chains from Alpaca, and email me the strongest defined-risk candidates priced between $200 – $600 per spread.

Automatic execution must remain disabled—these alerts are for my manual entry at IBKR—so any trading functions need to stay read-only. The stack is pure Python on Linux, using Docker and the DigitalOcean API for provisioning. I welcome AI-assisted coding as long as the final repo is clean, commented, and fully reproducible.

Deliverables I expect:
• Verified deployment with passing end-to-end test suite
• New scan logic covering 500 symbols, scheduled four times daily
• Email module that clearly states entry price, max loss/profit, breakeven, and exit plan
• Updated documentation, Dockerfile, and hand-off walkthrough

Target turnaround is 1–3 days. Send a fixed-price quote and links to similar work that shows experience with Python, DigitalOcean, Alpaca (or comparable market data APIs), and options strategy modelling.

I respond quickly and can grant SSH access the moment we agree on terms, so we can move fast.