Google Finance Expands AI Tools to 100 Additional Countries

Initially launched in the U.S. in August and later in India in November, Google Finance will soon be accessible in Australia, Brazil, Canada, Indonesia, Japan, Mexico, and several other nations. This rollout will include comprehensive local language support, as announced in a blog post by Google on Wednesday (April 8) sent to PYMNTS.

The upgraded Google Finance offers AI-driven research capabilities that respond to inquiries and provide links to additional resources. The platform also features new charting tools that enable users to switch between various technical indicators, such as moving average envelopes and candlestick charts. Additionally, there is an enhanced news feed and expanded data for commodities and cryptocurrencies, according to the blog post.

For corporate earnings calls, the new Google Finance also provides live audio streaming, synchronized transcripts, and AI-generated insights, as detailed in the post.

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To check the latest availability of the updated Google Finance, visit Google’s Help Center.

When Google first announced in August the testing of a new version of Google Finance in the U.S., they emphasized that these AI-powered features were being introduced alongside existing real-time market quotes, international exchanges, financial news, and analytics available on the site.

In November, Google disclosed its plans to launch the upgraded Google Finance in India, offering support in both English and Hindi.

Furthermore, the November update included Deep Research capabilities, allowing users to ask open-ended financial questions and receive AI-generated answers complete with citations and links; enhanced charting features with various technical indicators and historical overlays; and data from prediction markets like Kalshi and Polymarket, which provide market-based probabilities for economic indicators such as inflation rates, GDP growth, and interest rate decisions.

During a February earnings call, management at Alphabet, Google’s parent company, reported an ongoing demand for AI computing across its consumer products, enterprise platforms, and cloud infrastructure.

The company stated that their Gemini system processed over 10 billion tokens per minute through direct application programming interfaces (APIs) in the fourth quarter, an increase from 7 billion in the prior quarter.