AI Investor Barometer

AI Investor Barometer is an experimental comparison tool that uses five different AI models to generate valuation assumptions for listed stocks daily. Each model — GPT, Claude, Gemini, DeepSeek and Grok — independently produces its own estimate from the same company's public data. Results are presented side by side.

Currently tracking approximately 12 Finnish OMXH stocks and 12 US S&P 500 companies. The pipeline runs automatically on business days.

The project does not provide investment recommendations or advice. It is an experimental research tool: what do different AI models estimate about the same stocks, and do they differ from each other?

AI is increasingly involved in investment decisions — either directly or indirectly through analysis tools, news aggregations and chatbots. The problem is that a single model appears reliable even when it is systematically over- or under-estimating certain stocks.

When five different models estimate the same company on the same day, you immediately see:

• Do the models agree — or do estimates diverge dramatically?
• Is any model consistently higher or lower than others?
• Does any model change its estimates daily, while another remains stable?
• Does any model stay closer to analyst consensus than another?

These questions are essential if you want to understand how different AI models differ. This tool makes model-specific comparison visible.

Most AI outputs are black boxes: the model gives a number directly without you knowing how it arrived at it. In this project, the approach is different.

This approach makes model-specific differences transparent: if GPT and Claude arrive at different estimates, it's due to different growth assumptions — not because one "calculated incorrectly".

• Not investment advice. All content consists of AI models' computational estimates, not investment advice. Draw your own conclusions.
• AI models can be systematically wrong. Models learn from historical data that may be biased or incomplete. A high confidence score does not mean being correct.
• Public data only. Models use only publicly available financial data and market information.
• Experimental tool. This is an experimental AI comparison and measurement tool. Data may be incomplete, the scheduler may fail, results may be incorrect.