Sports Odds Discrepancy Alert Scanner
Publicada el 2026-07-28
Descripción de la oferta
I need a working tool that continuously pulls event-level probabilities from Kalshi and Polymarket and contrasts them with real-time money-line, spread prices, over under prices and prop markets from major online sportsbooks. The goal is simple: highlight pre-game markets for Football, Basketball, Tennis, Soccer and Baseball where the implied probabilities diverge enough to create positive-expected-value opportunities. Core workflow • Fetch live or regularly refreshed odds via public or paid APIs (or reliable screen-scraping when an API is unavailable). • Convert every price to a clean, comparable implied probability. • Compare the Kalshi / Polymarket probabilities against each sportsbook’s line. • Flag and log any gap that exceeds a configurable threshold, then push an alert (email, Slack or Telegram preferred—open to the best fit). Technical preferences Python is my default, but I am open to Node, Go or another language if you can justify speed or API compatibility gains. Please structure the code so the market modules (Kalshi, Polymarket, each sportsbook) can be swapped or extended easily. A lightweight web dashboard or CLI summary that lists the latest discrepancies would be ideal, though a Jupyter-style report is acceptable for a first milestone. Acceptance criteria 1. At least one live feed each from Kalshi, Polymarket and two major sports books available in my area demonstrates automated parsing and probability conversion. 2. Alert fires when a test threshold is deliberately breached. 3. Documentation shows how to add a new sportsbook module in under 30 lines. 4. Code runs on a standard cloud instance without paid add-ons beyond the data sources themselves. Let me know your proposed stack, data-source access strategy and estimated turnaround so we can lock in milestones quickly.
Skills
Fuente original: freelancer