Desarrollar y validar un sistema de apuestas deportivas +EV (Python + API de OddsPapi)

I need a developer to build, end to end, a system that finds +EV pre-match bets at crypto sportsbooks (BetWhale, Vave, Stake, MyStake, Duelbits, Roobet, Polymarket) by comparing their odds with Pinnacle's no-vig price, and to prove with historical data, sport by sport, whether it is profitable long term. Sports that pass must then be alerted live via Telegram. Each sport must pass 3 rules 1. Pinnacle's closing line is calibrated: betting every market at Pinnacle's fair closing price gives an ROI within 1.5 points of zero. 2. Signals win: CLV of +2% or more with the 95% CI above zero, ROI not clearly below CLV, and the combined ROI of passing sports positive with at least 90% confidence. 3. The edge is capturable: real bets keep at least 60% of the signals' CLV (30+ bets). Data I already pay for: OddsPapi API v4 ~1.45M requests/month; Pinnacle (with limits), Betfair Exchange, the crypto books above, Cloudbet, plus SBOBet, SingBet, BookMaker and Circa; endpoints for fixtures, odds (3 books per call), markets, scores, settlements and historical-odds (5 s cooldown, 3 books per call, filter by outcomeId); 4-6 months of history; all major sports. Paid WebSocket available (free trial offered). Deliverables Sport-by-sport backtest with confidence intervals for the 3 rules; if any sport passes, a live Windows system with Telegram alerts, bet tracking, CLV and results; clean, reproducible Python code. Fixed price, paid per milestone. Please include timeline, price per milestone and similar past work.