Google Finance Integrates Gemini Deep Research and Prediction Market Data for Enhanced Financial Analysis

Gemini Deep Research comes to Google Finance, backed by prediction market data

Google has announced new features in the popular Google Finance platform, and it leans heavily on Google's tried-and-true strategy of more AI in more places. This builds on Google's last Finance update, which added a Gemini-based chatbot. Now, Google is adding Gemini Deep Research to the site, which will allow users to ask much more complex questions. You can also ask questions about the future, backed by new betting market data sources. The update, which is rolling out over the next several weeks, will add a Deep Research option to the Finance chatbot. The company claims that with the more powerful AI, users will be able to generate "fully cited" research reports on a given topic in just a few minutes. So you can expect an experience similar to Deep Research in the Gemini app -- you give it a prompt, and then you come back later to see the result. You probably won't want to bother with Deep Research on simple queries -- there are faster, easier ways to get that done. Google suggests using Deep Research on more complex things, like the doozy below. Everyone will be able to run at least a few Deep Research reports in Finance. There is an unclear limit, but users with AI Pro and AI Ultra subscriptions will enjoy higher Deep Research limits. Google has a cap on Deep Research in the Gemini app, which may or may not be the same. There, free users only get five Deep Research jobs per month. AI Pro gets 20 reports per day, and AI Ultra gets a whopping 200 per day. Given the time it takes to generate even one, it may be difficult to use that many. Bet on it Financial markets can turn on a dime, and AI can't predict the future. However, Google seems to think that people make smart predictions in aggregate when there's money on the line. That's why, as part of the Finance update, Google has partnered with Kalshi and Polymarket, the current leaders in online prediction markets. These platforms let people place bets on, well, just about anything. If you have a hunch when Google will release Gemini 3.0, when the government shutdown will end, or the number of Tweets Elon Musk will post this month, you can place a wager on it. Maybe you'll earn money, but more likely, you'll lose it -- only 12.7 percent of crypto wallets on Polymarket show profits. Google says it will get fresh prediction data from both sites, which will allow Gemini to speculate on the future with "the wisdom of crowds." Google suggests you could type "What will GDP growth be for 2025?" into the search box. Finance will pull the latest probabilities from Kalshi and Polymarket to generate a response that could include graphs and charts based on people's bets. Naturally, Google does not make promises as to the accuracy of these predictions. The new AI features of Google Finance are coming to all US users in the next few weeks, and starting this week, the service will make its debut in India. Likewise, the predictions market data will arrive in the next couple of weeks. If that's not fast enough, you can opt-in to get early access via the Google Labs page.

Google Finance gets a Gemini-powered upgrade - what it can do for you now

Google launched Gemini upgrades to Google Finance. You can now ask Gemini more complex questions. The assistant helps scan information from earnings calls. Regardless of whether you are a pro or a beginner, understanding the financial world requires doing a lot of research and considering tons of data. The new AI-powered Google Finance is meant to make that process a lot easier and more seamless. Also: Claude can integrate with Excel now - and gets 7 new connectors On Thursday, Google upgraded Google Finance by building its Gemini AI assistant into the platform to make information easier to access. Gemini can help surface data via Deep Research or make information from earnings calls accessible at a glance. Here's everything that's new. If you want to ask a question of Google Finance data that requires a more thorough answer, you can now use the platform's new Deep Search feature. Before asking a question like you usually would, just select the new Deep Search option. Then, similar to Google's Deep Research feature, the Gemini models will analyze hundreds of different sources and create a cited report in a few minutes. Users can view the research plan and ask follow-up questions once the report is created. Also: Want better ChatGPT responses? Try this surprising trick, researchers say Google said the Deep Search feature is rolling out over the upcoming weeks in the new Google Finance, where Google AI Pro and Ultra subscribers will be able to enjoy higher limits. It is also available in early access through the Google Finance experiment in Labs. You can now also ask questions about future market events through the added support of prediction markets data from Kalshi and Polymarket. For example, Google said users can now ask something like, "What will GDP growth be for 2025?" in the search bar to see current probabilities. This feature will roll out in the upcoming weeks, with priority given to Labs users. Last week, Google launched a new earnings experience that helps you track all your stats more effectively, including a new Earnings tab that displays the next scheduled call. This allows you to tune in to the live audio stream and view a real-time transcript, which is also accessible after the call. Below the call, you'll also see a new AI-powered "At a glance" section, which is updated before, during, and after the call with insights on key information from news reports and analysts' reactions. Other earnings features include comparing new numbers against historical data, assessing how the current quarter's performance aligns with expectations, and reviewing related reports, Google wrote in a blog post. The new Google Finance is also now available in India, offering language support for both Hindi and English. Also: Anxious about AI job cuts? How white-collar workers can protect themselves - starting now Ultimately, all of these updates can be seen as Google's attempt to better compete as a financial data search engine, a space where Yahoo Finance continues to maintain authority. While Yahoo Finance has also incorporated AI into its platform -- such as the Analyze with AI feature, now in beta, which gives users an overview of the entity they are looking at, including news headlines, recent transactions, analyst leaderboards, earnings calls, and more -- it has remained more conservative than Google in implementing AI features.

Google Finance offers Gemini AI tools to stock traders

Google's well-honed strategy of adding AI to absolutely everything continues: the company announced on Thursday that Google Finance is getting a Deep Search feature to turbocharge its AI chatbot, as well as other upgrades to support traders like prediction market support. The new Deep Search feature will let you get more detailed responses and ask more complicated questions from Google Finance's built-in AI chatbot, which launched as part of the app's AI makeover earlier this year. To use it, you just need to select the "Deep Search" option when asking your question. Robert Dunnette, director of product management for Google Search, said the tool uses Google's advanced Gemini AI models and can "produce a fully cited, comprehensive response in just a few minutes." It will also display a research plan so you can follow along and better understand the AI's reasoning. Deep Search will roll out in the US in the coming weeks. If that's too far away, Dunette said users can opt in to an early access program through the Google Labs platform. There will be usage limits for the tool -- higher for Google AI Pro and AI Ultra subscribers -- though Google did not specify what these may be. Google Finance is also getting some non-AI upgrades as well. The company's adding support for prediction market data from Kalshi and Polymarket over the coming weeks, which it says you can access directly from the search box by asking questions about future market events, such as GDP growth. Dunnette says the tool lets you "harness the wisdom of the crowds" and will show current market probabilities and how they've changed over time. Last week, Google launched an "earnings" tab to make keeping track of earnings calls easier. In addition to the new features, Google said it is rolling out the AI-ified Google Finance in India this week. Both English and Hindi will be supported, though users there won't get access to the latest upgrades like Deep Search.

Use Google Finance? It just got a new Gemini-powered 'Deep Search' trick - how to try it

Google launched Gemini upgrades to Google Finance. You can now ask Gemini more complex questions. The assistant helps scan information from earnings calls. Regardless of whether you are a pro or a beginner, understanding the financial world requires doing a lot of research and considering tons of data. The new AI-powered Google Finance is meant to make that process a lot easier and more seamless. Also: I asked Google Finance's AI chatbot what stocks to buy - and its answer surprised me On Thursday, Google upgraded Google Finance by building its Gemini AI assistant into the platform to make information easier to access. Gemini can help surface data via a new Deep Research-inspired feature or make information from earnings calls accessible at a glance. Here's everything that's new. If you want to ask a question of Google Finance data that requires a more thorough answer, you can now use the platform's new Deep Search feature. Before asking a question like you usually would, just select the new Deep Search option. Then, similar to Google's Deep Research feature, the Gemini models will analyze hundreds of different sources and create a cited report in a few minutes. Users can view the research plan and ask follow-up questions once the report is created. Also: I let Gemini Deep Research dig through my Gmail and Drive - here's what it uncovered Google said the Deep Search feature is rolling out over the upcoming weeks in the new Google Finance, where Google AI Pro and Ultra subscribers will be able to enjoy higher limits. It is also available in early access through the Google Finance experiment in Labs. You can now also ask questions about future market events through the added support of prediction markets data from Kalshi and Polymarket. For example, Google said users can now ask something like, "What will GDP growth be for 2025?" in the search bar to see current probabilities. This feature will roll out in the upcoming weeks, with priority given to Labs users. Last week, Google launched a new earnings experience that helps you track all your stats more effectively, including a new Earnings tab that displays the next scheduled call. This allows you to tune in to the live audio stream and view a real-time transcript, which is also accessible after the call. Below the call, you'll also see a new AI-powered "At a glance" section, which is updated before, during, and after the call with insights on key information from news reports and analysts' reactions. Other earnings features include comparing new numbers against historical data, assessing how the current quarter's performance aligns with expectations, and reviewing related reports, Google wrote in a blog post. The new Google Finance is also now available in India, offering language support for both Hindi and English. Also: Want better ChatGPT responses? Try this surprising trick, researchers say Ultimately, all of these updates can be seen as Google's attempt to better compete as a financial data search engine, a space where Yahoo Finance continues to maintain authority. While Yahoo Finance has also incorporated AI into its platform -- such as the Analyze with AI feature, now in beta, which gives users an overview of the entity they are looking at, including news headlines, recent transactions, analyst leaderboards, earnings calls, and more -- it has remained more conservative than Google in implementing AI features.

Google Finance wants to become your smartest investing assistant with these new features

These features are rolling out in the US, but the new experience is also expanding to the Indian market, offering support in both English and Hindi. Google added a new live earnings experience to Google Finance beta last week, bringing live audio streams, instant transcripts, and AI-powered summaries that explain the key takeaways from company results. The company isn't stopping there, as today, Google has announced that Google Finance is getting support for Deep Search and prediction markets, and the new Finance experience is expanding to a new market. Users will also be able to view the research plan while the response is being generated, which will provide them with a better understanding of the answer, should they need clarification or have to rerun the query. Expectedly, since this is AI, users can also ask follow-up questions to expand on the initial findings, or even dig deeper through the present links in the Deep Search result. Deep Search is rolling out over the coming weeks in the new Google Finance experience. Google AI Pro and AI Ultra subscribers will get higher limits. If you want to give Deep Search a spin right away, you can opt into the Google Finance experiment in Labs. This week, Google is also adding support for prediction market data from Kalshi and Polymarket to Google Finance. This will enable Finance users to ask questions about future market events directly from the search box and view current probabilities in the predictions market, as well as how they've changed over time. However, the new capabilities, namely Deep Search, prediction markets, and last week's earnings experience, are rolling out first in the US. Google aims to expand these to more users over time, but the company did not give any timeline for these future plans.

Into finance or trading? Google's new AI-powered tricks can help you

Smarter answers, sharper insights -- all inside Google Finance. What's happened? Google Finance is getting a major upgrade with AI at its core. A new Deep Search mode powered by Google Gemini AI lets users ask complex financial questions and receive detailed answers with charts, links, and sources in minutes. * The platform now includes advanced charting tools and expanded market coverage on commodities, cryptocurrencies, and live news feeds. * Google is even adding prediction-market data from platforms like Kalshi and Polymarket, so you can query predictions ("What will GDP growth be for 2025?") and see how probabilities shift over time. * A redesigned earnings tab makes it easier to track company results with live audio from earnings calls, AI-generated highlights, and historical comparisons all in one view. * These new features (Deep Search, prediction markets, and earnings) are rolling out first in the U.S., followed by India (this week), with an optional Google Labs early access program. This is important because: These upgrades reposition Google Finance from a static quote-and-chart aggregator to a dynamic research assistant. * Deep Search lets investors ask complex finance questions and get structured, cited results instead of raw data. * Prediction data lets users see market expectations as they shift, blending traditional analysis with real-time sentiment. * By bringing AI into Google Finance, the company is stepping into territory usually dominated by fintech apps and trading platforms. Why should I care? For everyday investors, this means: * Faster insights: Instead of manually comparing assets, you can ask one question and get a synthesized response. * Deeper visuals: Charting tools once reserved for trading platforms are now available in Google Finance, making it easier to grasp market shifts. * Broader view: With commodities and crypto added, your financial view becomes more complete. Recommended Videos OK, what's next? This update intensifies competition between AI search engines, fintech apps, and brokerage platforms. Going forward, everyone will need to integrate AI and predictive data or risk falling behind.

Google Finance adds AI features for research, earnings and more

The new, AI-powered Google Finance is built to help you make sense of the financial world. You can ask questions about the markets and get a helpful AI response, perform technical analysis with advanced charting tools and track the latest news and headlines all in real time. Now, Google Finance is getting even more powerful upgrades, including Deep Search capabilities, access to prediction markets data and the ability to track corporate earnings. Plus, we're rolling out the new Google Finance in India, our first expansion beyond the U.S. For your most complex questions, you can now use Deep Search in Google Finance for an even more thorough AI response. Simply ask your question, with all the details you're looking for, and select the Deep Search option.

Google Finance Rolls Out AI-Driven Deep Search, Prediction-Market Data | PYMNTS.com

By completing this form, you agree to receive marketing communications from PYMNTS and to the sharing of your information with our sponsor, if applicable, in accordance with our Privacy Policy and Terms and Conditions. This new version of Google Finance allows users to type open-ended financial questions and receive AI-generated responses that include citations and links to supporting material. Deep Search performs multiple lookups across the web, aggregates results and displays a "research plan" explaining how the answer was formed. Users can open each reference or refine the query for more detail. The feature is being tested through Google Labs and will expand to AI Pro and AI Ultra subscribers in the coming weeks. Google also confirmed an initial launch in India with English and Hindi support. Earlier this year, PYMNTS reported that Google was testing a redesigned Finance interface with AI-powered charting and wider data coverage. Those features are now live. The update adds technical indicators, historical overlays and sector-level comparisons, allowing users to analyze market patterns in one view. Google Finance now incorporates data from Kalshi and Polymarket, which provide market-based probabilities for outcomes such as inflation rates, GDP growth and interest-rate decisions. The inclusion gives users a view of how expectations change over time and where market sentiment diverges from analyst forecasts. However, the reliability of such markets remains debatable. Because participation volumes are still relatively small compared with major exchanges, price movements can be influenced by limited liquidity or concentrated bets. While prediction markets can capture near-term sentiment effectively, they may overstate volatility during periods of uncertainty. The changes reflect a broader trend in finance. As PYMNTS reported, companies are adopting "explainable, auditable AI that enhances existing workflows and decision-making rather than replacing core systems." Finance teams are using reasoning models to speed forecasting, reconciliation and reporting while maintaining oversight. Several institutions have developed internal tools for the same purpose. Morgan Stanley built an assistant with OpenAI that lets advisers search its research archive in natural language and generate compliance-approved summaries. JPMorgan Chase created an in-house platform, LLM Suite, to condense earnings transcripts and automate market updates across its asset-management division. Both systems are private and draw on proprietary data. Google Finance's update comes as other financial data platforms adopt similar AI tools. Bloomberg LP has expanded its terminal with generative-AI summaries and natural-language search. OpenAI and Anthropic are also testing finance-relevant integrations within conversational systems that draw from public filings and macro-economic data. The rollout also comes as specialized AI providers deepen their focus on financial applications. Anthropic recently introduced Claude for Financial Services, designed to help institutions analyze portfolio data, compliance records and regulatory filings with tighter control over data access. Perplexity AI also showcased similar capabilities in its enterprise suite, demonstrating how generative search can support due diligence and research workflows across banking and capital markets. While Google updates sound very promising for retail and institutional investors alike, studies have found that reasoning models lag in handling visual and numerical context, which is essential for financial analysis. It's important to note that AI-generated summaries can assist but should not replace manual verification of filings, data tables, and structured disclosures.