I am hiring a developer to build an automated trading bot that executes a rules-based +EV strategy on Kalshi prediction markets using fair probability modeling from sportsbook data. The bot will integrate with Pick the Odds (or equivalent odds aggregation source) to calculate true probabilities shortly before events begin (typically 1–45 minutes pre-game). The system must: Convert odds to percentage format Exclude Kalshi and Polymarket from aggregated sportsbook inputs Apply multiplicative devigging so outcomes sum to exactly 100% (true fair odds) The bot will then compare fair probabilities to live Kalshi order books and automatically place maker orders based on strict pricing logic: Offer orders 2–3% below fair probability Always price at least 1¢ below the current Ask (to avoid taker fees) Never place orders above fair value Handle exception logic when Ask prices are already significantly below fair odds Primary markets to monitor: NBA totals NHL totals/goal markets NFL totals MLB totals College basketball totals Strategy prioritizes unders and longer-odds outcomes, where retail bias and slower information pricing create inefficiencies. Key Requirements: Experience building trading or betting automation bots API integration (Kalshi + odds data sources) Real-time order book monitoring Automated order placement & cancellation logic Risk controls and configurable share sizing Logging, error handling, and uptime reliability Experience with prediction markets, sportsbook odds, or quantitative trading systems is strongly preferred. The goal is a stable, fully automated market-making bot that consistently executes predefined +EV rules.