How it works
Understanding the confidence score
3 min read
Every analysis includes a confidence indicator — High, Moderate, or Low. This reflects how much we trust the data and the model output, not how good or bad the underlying company is as an investment.
What lowers confidence?
Short data history. If a company has fewer than seven years of financial history, we can't fit a reliable trend. The growth rate estimate carries a wider margin of error, and the resulting valuation is correspondingly less precise.
Currency conversion. Companies that report in currencies other than USD — like a European pharmaceutical company reporting in euros — have all values converted at the current exchange rate. A strong or weak dollar can significantly affect the apparent valuation, and this uncertainty is flagged.
Inconsistent earnings. If a company's earnings have swung sharply between profits and losses, the historical average growth rate is unreliable as a projection base. We still calculate a result, but flag it as lower confidence.
Model range exceeded. If the current price is more than three times the Sticker Price, the model may be undervaluing a premium compounder — some businesses genuinely deserve sustained high multiples that our conservative model doesn't fully capture.
What confidence doesn't mean
A High confidence score doesn't mean the analysis is correct or that the stock will perform well. It means the data is clean and the model inputs are solid. A Low confidence score doesn't mean avoid the stock — it means apply extra scrutiny, perhaps widen your own margin of safety, and weight your qualitative research more heavily.
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