Post Count Market Trading Bot

This bot targets markets based on social media post counts, such as Elon Musk or Trump tweet frequency markets. It uses data from xtracker.polymarket.com to track posting rates and identify discrepancies between actual posting activity and market prices. The bot likely enters positions when the current post count trajectory diverges from what the market has priced in. Entry is triggered when the observed post count deviates from expected thresholds; exit occurs when the market corrects to reflect the actual count. No verified results are available as the repo is new with zero stars. Implementation uses Python with data from xtracker. The main risk is that post-count markets can be illiquid and subject to manipulation by high-profile users. The bot is relatively simple and may not account for time-of-day posting patterns.