How I Combined Polymarket Prediction Markets with Stock Technical Analysis in Python

Most algo trading tools focus on one type of market. Either you're scanning stocks with RSI and MACD, or you're looking at prediction markets. I wanted both — and I built TradeSight to do exactly that. Here's what I learned combining two very different data sources into a single opportunity scanner. Why prediction markets + stocks? Prediction markets like Polymarket price crowd wisdom on future events — elections, economic indicators, crypto outcomes. The interesting thing: they're largely uncorrelated with stock market moves. A high-confidence Polymarket opportunity (say, 85% yes on a Fed rate decision) doesn't necessarily move with the S&P 500. That orthogonality is valuable. If you have signals firing in both markets simultaneously, they're more likely to be independent — not just correlated noise from the same underlying macro move. The second reason: Polymarket mispricings are often exploitable. When a market is at 70/30 but the underlying evidence points to 85/15, that's an edge.