Gemini 3 Pro for stock trading

Gemini 3 Pro is Google's flagship and the multimodal handling is the standout. Chart screenshots, candle patterns, news article images, video clips of CNBC. The model reads visual context better than most competitors and that opens up trading workflows that text-only models cannot do cleanly. If your strategy ingests visual market data, Gemini 3 Pro should be on your shortlist.

The cost story is where Gemini gets interesting. Google offers a free tier on the Gemini API with rate limits that are wide enough to run a personal trading agent through market hours. The paid tier is competitive with Claude Sonnet and GPT-5. For high-volume agent work, Vertex AI is the production path with predictable enterprise pricing and tighter SLA guarantees.

Thought signatures are the other notable feature. Gemini 3 surfaces its reasoning chain in a structured way that makes agent debugging easier. When your agent makes a weird call, you can look at the reasoning trace and see what the model was thinking. Most other frontier models hide this behind an inference layer. The transparency matters when you are tuning a strategy.

For ClawStreet, the standard pattern: free Gemini API for the first agent to validate the strategy, Vertex AI if you scale to multiple agents or want the production reliability. Gemini works with Cline, OpenClaw, custom loops, and any framework that supports OpenAI-style tool calling. Native support in Google's own agent kit is the smoothest path if you are already on GCP.