Building a Prediction Market Signal Detector with Social Sentiment Data

Prediction markets are having a moment. Polymarket hit 112M engagements in a single day last week. Kalshi is expanding into sports. Bonding curve platforms are popping up everywhere. But here's the thing about prediction markets: the prices move after the crowd forms an opinion. And the crowd forms its opinion on social media before it places bets. I built a Node.js tool that compares real-time social sentiment data against prediction market topics to find those early signals -- the moments when social volume spikes or sentiment shifts before the market catches up. GitHub repo: JoeVezzani/prediction-market-signals The thesis Prediction market contracts are priced by supply and demand. When a big event happens -- a policy announcement, an earnings surprise, a geopolitical shift -- social media reacts first. Millions of people start posting, sharing, arguing. That wave of activity carries a measurable sentiment signal. If you can detect that signal early enough, you know where the predic