How the StockIQ AI Score Is Calculated — A Complete Guide
A breakdown of the 7 categories that weight the 0-100 score: what each one actually checks, why it has the weight it has, and what the score doesn't tell you.
Why one score instead of ten separate numbers
Most financial sites show dozens of metrics without connecting them: P/E here, RSI there, debt-to-equity somewhere else. The problem is that none of these numbers says much on its own — a stock with a low P/E can be a cheap opportunity, or it can be cheap because the company is in trouble. The StockIQ score takes 37 distinct signals and combines them by a fixed weighting, so the result reflects a balance across several angles instead of relying on a single indicator.
Technical — 25% of the score
About 23 indicators on actual price history: moving averages (SMA 50/200), MACD, RSI, Stochastic, ADX, Bollinger Bands, Chaikin Money Flow, and pivot points. Important to understand — this isn't a forecast. A technical indicator reads what has already happened on the chart (trend, momentum, strength of movement), not a prediction of what will happen tomorrow.
Fundamental — 20% of the score
Checks the company's own financial health: current ratio (whether there are enough liquid assets to cover near-term liabilities), debt-to-equity, interest coverage, and profit margins. A company can look great technically (the stock is rising) and still carry real fundamental risk — these two axes check completely different things.
Growth — 15% of the score
The growth rate of revenue and earnings across several reporting periods, not just the current state. A company with high profit that's fading year over year scores lower than a company with lower profit but a consistent upward trend — because the trend matters just as much as the level.
Fair Value — 15% of the score
Tries to answer the hardest question: is the stock expensive, cheap, or fairly priced? The main model is DCF (discounted cash flow — see the separate guide), alongside tangible net asset value (NAV) and a P/E multiple comparison against the sector. Three different methods that cross-check each other, since no single pricing model is perfect.
News, Quality, and Risk — the remaining 25%
News (10%) checks sentiment on recent headlines — a complementary signal, not a substitute for real financial analysis. Quality (10%) checks return on invested capital (ROIC) and operating-margin stability — in other words, whether the company is run efficiently, not just growing in size. Risk (5%) checks beta versus the market and daily volatility — high volatility lowers the score even if the rest of the data is positive, because risk is a real part of the picture.
What the score doesn't tell you
A high score doesn't mean "buy now" and a low score doesn't mean "sell now". This is a tool for filtering and shortening research time, not a substitute for judgment. And of course — all the data feeding the score is real data from commercial financial providers only (FMP, Finnhub), never invented or estimated figures.
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The information in this guide is intended for general educational purposes only and does not constitute investment advice. Full details on the disclaimer page.