Latest from EVSignals
Product releases, workflow improvements, and market-data notes from the EVSignals team.
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Beginner's Guide to Prediction Market Trading
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7 published articles across 3 core categories.
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Use this page for launches, workflow changes, and educational market notes.
How to Find Arbitrage Opportunities in Prediction Markets
A step-by-step guide to finding and profiting from cross-platform arbitrage in prediction markets like Kalshi and Polymarket. Learn to spot price discrepancies, calculate guaranteed profits, and automate scanning.
Beginner's Guide to Prediction Market Trading
Everything you need to know to start trading on prediction markets like Kalshi and Polymarket. Covers how prediction markets work, how to read odds, basic strategies, and tools to find edges.
EVSignals Expands Coverage to 500+ Markets
We're excited to announce expanded market coverage including new prediction markets, sportsbooks, and crypto platforms. Our data pipeline now normalizes odds from Kalshi, Polymarket, Manifold, DraftKings, FanDuel, Pinnacle, and hundreds more into a single schema.
Introducing Cross-Platform Probability Comparison
Compare implied probabilities across Kalshi, Polymarket, sportsbooks, and more in one view. Available in data notebooks — import odds with one line of Python and spot pricing discrepancies instantly.
Data Notebooks: Jupyter for Markets
Announcing our new interactive data notebooks — a Jupyter-style environment built specifically for prediction market analysis and backtesting. Pre-connected to live odds data. Write Python, query markets, visualize results.
Understanding Expected Value in Prediction Markets
A guide to calculating and finding positive expected value opportunities in prediction markets like Kalshi and Polymarket. Learn how cross-platform price discrepancies create edges and how to scan for them systematically.
New API Features: WebSocket Support & Historical Data
Major API updates including real-time WebSocket feeds for sub-50ms odds streaming, expanded historical data archives, and new endpoints for custom analysis. Python SDK updated to v2 with full async support.
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