Fetching Real-Time Polymarket Data Using WebSockets: Building a Faster Polymarket Trading Bot with Polymarket V2
The article discusses the importance of real-time data in prediction markets, specifically for building a Polymarket trading bot. It highlights the limitations of using REST API polling and introduces WebSockets as a more efficient alternative. The tutorial provides insights into fetching market data using WebSockets and the benefits of faster execution in trading.
- ▪Prediction markets can change rapidly due to news events, making real-time data crucial for trading bots.
- ▪Using REST API polling can lead to missed price changes and slippage, negatively impacting trading decisions.
- ▪Polymarket offers WebSocket infrastructure that allows for continuous data streams, enhancing trading efficiency.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3950236) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Mateosoul Posted on Jun 3 Fetching Real-Time Polymarket Data Using WebSockets: Building a Faster Polymarket Trading Bot with Polymarket V2 #tutorial #polymarket #python #architecture 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.
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