Google is bringing real-time prediction market data into its finance products. This provides users with crowd-driven forecasts on key events.
Google is preparing to integrate real-time prediction market data. This information will be transformed directly into its financial products. This new functionality will give a new way of interacting for users. They can go over crowd-driven predictions on economic and political events.
Deep Search and Crowdsourced Data Enhance Financial Research
The new AI-based Google Finance was built on simplicity. It is intended to help users comprehend the financial world. In particular, users can pose market questions and receive useful AI answers. They can also do technical analysis.
The platform offers sophisticated charting tools. It also provides current news and headlines as and they emerge. In addition, Google Finance is undergoing powerful upgrades. These include Deep Search functionality.
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A major new feature is the availability of prediction market data. The platform will also be able to monitor corporate earnings better. Further, Google Finance is launching in India. This is its first expansion outside of the U.S.
For advanced questions, the user can now use Deep Search. This feature is provided on Google Finance. Thus, it gives an even more comprehensive AI response. Users just ask their query with all the required information.
From there, the Google Gemini models of higher levels kick in. The computers can run hundreds of searches at the same time. Therefore, they think about different information. This robot generates a thoroughly cited response very quickly.
During the generation, they will be able to view the research plan. This enables them to see how the response was crafted. After that, they can ask additional questions. These are ways of elaborating further on the initial findings.
Deep Search will be released over the next couple of weeks. It will be provided with new Google Finance. The limits will be higher for Google AI Pro and AI Ultra subscribers. To use this feature, you need to enable the Google Finance experiment in Labs.
Prediction Market Integration Brings Forecasts to the Mainstream
On November 6th, 2025, Google Finance started integrating. It uses real-time data from the main prediction market websites. The data sources are Polymarket and Kalshi. Kalshi is a US CFTC-regulated exchange.
On the other hand, Polymarket is a decentralized prediction platform. As a result, this dual source gives a balanced perspective of market sentiment. Users can also ask questions about the future economic and market developments directly.
For instance, users can type in questions like “What will be the GDP growth for 2025?” They can then see the probabilities and historical trends. This information will be accessible through Google Finance. It can also be shown in Google Search results.
This technology is an integral part of AI-driven transformation. It features Deep Search. Google’s Gemini models back these features. The update also includes better tracking of corporate earnings.
The new features are introduced to users of Google Labs. A broader release should be available in the coming weeks. Thus, the integration is started with early adopters.
The effect of this integration is immense. It can help to bring prediction markets into the financial mainstream. Thus, it gives vital data to retail investors. This has been limited to professional-grade terminals in the past.
Additionally, this move creates competition for the existing financial data providers. So, there is a significant paradigm shift being introduced by crowdsourced probabilities that must be combined with traditional data. This will further strengthen the role of AI in financial analysis.
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