Prediction markets move quickly. A major news event, election update, economic report, or sports result can shift probabilities within seconds. If your application relies on delayed REST API polling, you're often reacting to information after the market has already moved.
This is especially important when building a Polymarket Trading Bot. The difference between receiving data in real time versus every few seconds can determine whether an order gets filled at a favorable price or misses the opportunity entirely.
In this tutorial, we'll explore how to fetch real-time Polymarket V2 market data using WebSockets, understand the available channels, build a Python client, and discuss why execution speed matters in prediction markets.
If you haven't already, check out my previous article:
Exploring Polymarket Market Data with Python – Polymarket V2 Deep Dive
