Google Finance Adds Kalshi & Polymarket Prediction Data
Google Finance now integrates real-time prediction market data from Kalshi and Polymarket into its AI-powered platform and search results. The new Deep Search feature, powered by Google’s Gemini AI models, lets users query event odds, view market probabilities, historical trends, sentiment shifts and point-in-time forecasts. Deep Search runs hundreds of simultaneous searches, providing fully cited responses and research plans. The feature launches in Labs with higher limits for AI Pro and Ultra subscribers and rolls out globally—starting in India—in the coming weeks. By combining regulated exchange data from Kalshi with decentralized forecasts from Polymarket, Google Finance offers crypto traders professional-grade market sentiment tools. Weekly turnover in prediction markets topped $2 billion in October. With Polymarket re-entering US markets and Gemini planning its own contracts, this integration could cement prediction market data as a mainstream metric alongside stocks and bonds, enhancing price discovery and data-driven trading strategies.
Bullish
This integration gives crypto traders direct access to real-time prediction market data, enhancing market sentiment analysis and price discovery. In the short term, traders can make more informed bets on event outcomes and adjust positions rapidly. In the long term, embedding regulated and decentralized forecasts into a mainstream platform like Google Finance may drive greater adoption of prediction market insights, increase liquidity and deepen market efficiency—factors that support upward pressure on crypto asset prices.