AI fair price
Key points
- A stock can have several models and they are retrained regularly.
- A fair price above the current price means the model finds the stock cheap; below means expensive.
- the model learns from past data, so error rises in regime changes (crises, regulation).
Formula / calculation
the model learns how companies with similar characteristics are priced in the market and produces an expected value for the stock; upside = (Fair price − Current price) / Current price. Short-term forecasting models produce daily close predictions that are compared with realised prices.
Interpretation
A fair price above the current price means the model finds the stock cheap; below means expensive. It is not a stand-alone buy or sell signal and should be read with analyst consensus, ratios and the technical picture.
Pitfalls
the model learns from past data, so error rises in regime changes (crises, regulation). Off-balance-sheet information (management quality, litigation risk) is not in the model. Model performance is reported transparently on the track record page; past accuracy is no guarantee of the future.
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Frequently asked questions
What is AI fair price?
AI fair price is the estimated value of a stock computed by machine learning models from financial ratios, price history and market data, compared with today’s price.
How is AI fair price calculated?
the model learns how companies with similar characteristics are priced in the market and produces an expected value for the stock; upside = (Fair price − Current price) / Current price. Short-term forecasting models produce daily close predictions that are compared with realised prices.
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