Google Adds Prediction Markets Kalshi and Polymarket to Finance Search
Google has integrated event-prediction markets Kalshi and Polymarket into its Finance platform, allowing users to view real-time probabilities of future events directly in search results. The feature marks another major step in merging financial analytics with AI-powered search technology.
AI-driven forecasts in search results
Starting in the coming weeks, Google Finance users will be able to track live odds from leading prediction markets. By entering a simple query — such as “Will the Fed cut rates in December?” — the search engine will return probability charts, market volumes, and recent trend shifts derived from Kalshi and Polymarket data.
The update represents the first time that predictive-market statistics are shown natively within Google’s ecosystem, effectively transforming search into a dynamic forecasting dashboard. Users will also be able to monitor how these probabilities evolve over time, similar to stock charts or bond yields.
Part of a wider AI-Finance overhaul
The integration forms part of a broader modernization of Google Finance, which has been upgraded with the Gemini-based Deep Search technology. The system leverages large language models to interpret financial narratives, generate insights from earnings reports, and surface real-time company performance metrics.
Google stated that its goal is to “empower users to explore markets through the lens of probability and AI context,” combining traditional data streams with predictive analytics for investors, journalists, and researchers.
Impact on prediction markets and investors
The inclusion of Kalshi and Polymarket data gives mainstream visibility to the fast-growing prediction-market sector. Analysts note that such exposure could help normalize probabilistic forecasting as a legitimate financial indicator — similar to bond yields or options volatility. For traders, this means easier access to real-time market sentiment integrated into the world’s most-used search platform.
Looking ahead
The move reinforces Google’s broader AI strategy: embedding intelligent models across its ecosystem to enhance contextual understanding of global finance. If successful, it could reshape how both retail and institutional investors interpret macro events — turning Google search into a hybrid between a news feed and a predictive analytics hub.
Editorial Team — CoinBotLab