Google Finance adds Deep Search, prediction markets, and live earnings tracking
Google Finance is leveling up with AI. Over the next few weeks, Labs users will see Deep Search, integrated prediction markets, and tighter earnings tracking. This moves the product past basic quotes and charts into actual research workflows.
Deep Search: ask complex questions and get cited answers
Deep Search lets you ask detailed financial questions and get a sourced answer in minutes. Behind the scenes, Gemini runs hundreds of parallel searches and stitches together the result-with citations and the research path visible.
Access starts in the Google Finance experiment in Labs. Subscribers of Google AI Pro and AI Ultra get higher usage limits for Deep Search queries.
- Build comps with constraints (profitability, leverage, region) and get links to sources.
- Cross-check guidance with prior transcripts, supply-chain news, and regulatory mentions.
- Pressure-test theses: "What are the biggest bear cases on [ticker] over the last six months?"
- Export the cited items into your notes to keep an audit trail.
Prediction markets: crowd probabilities next to your models
Google Finance will show market-implied probabilities from Kalshi and Polymarket inside search. Ask "What will GDP growth be for 2025?" and see current odds with historical context. It's a fast prior for scenario work and a reality check against sell-side or internal forecasts.
- Use for macro scenarios (inflation prints, policy moves, election outcomes).
- Track how probabilities shift after key prints or company events.
Live earnings: audio, transcripts, and instant context
The new Earnings tab streams call audio, generates real-time transcripts, and updates an "At a glance" view before, during, and after calls. It compares reported figures to history and expectations, and links to earnings decks and SEC filings for follow-up.
- Before: preview consensus, watchlist surprises, and recent news flow.
- During: listen live, skim the transcript in real time, and mark notable quotes.
- After: review AI-generated takeaways and analyst reactions without leaving the page.
India rollout
Google Finance begins rolling out in India this week in English and Hindi with the core experience. Deep Search, prediction markets, and the earnings features start in the U.S. and will expand internationally over time.
Why this matters for finance teams
This stack cuts the time spent collecting facts across tabs and PDFs. Prediction markets introduce a crowd-based probability layer that can complement traditional models. During earnings, research, listening, and benchmarking live in one place.
How to try it
Access the beta at google.com/finance/beta while signed in. Labs users get first access; higher Deep Search limits come with Google AI Pro and AI Ultra.
Practical guardrails
- Treat prediction markets as inputs, not conclusions. Use them to frame scenarios, then validate.
- Keep a record of sources from Deep Search for compliance and internal review.
- Benchmark AI insights against your existing models and analyst notes before acting.
Next steps for your workflow
- Standardize prompts for recurring tasks (comps, KPI checks, risk factors) so results are consistent across the team.
- Wire outputs into your models: export citations, paste summaries into notes, and tag by ticker, sector, and theme.
- Schedule an earnings "war room" workflow using the live audio, transcript, and post-call summaries.
- Upskill your team on AI for finance use cases and tools here: AI tools for finance.
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