By Maksym Lytvynov, Founder of AlphaStocks | Last updated: 2026-09-23
How to Read Stock Scores: A Beginner's Guide
One stock scores near the top of the scale, another near the bottom. What do those numbers actually mean, and how should they change what you do? AlphaStocks rates every stock in its 1,500-plus stock universe from 0 to 10, updated daily, combining Quality, Value, Momentum, and Timing into a single number. Here is how to read it without over-simplifying or over-thinking it.
The 0-10 Scale
The composite score is not a percentage or a ranking. It is a weighted average of four axis scores, each of which is also measured on a 0-10 scale. Momentum is a percentile rank, so its middle is the universe median; the model-based axes are shares of criteria passed or ranks, so they spread differently.
A composite needs a Quality axis, a Value axis and a momentum score. A model that does not apply is left out of its axis, never scored as zero; an axis with no model means no composite, and the stock page says why. A model that applies but has too few evaluable signals for a score (Buffett, Graham, Piotroski) counts only if it pulls its axis down: its share of evaluable signals passed enters at its usual weight and the axis is the lower of the two, so missing data never raises an axis (our decision, not a source's).
The Four Verdict Labels
Each composite score maps to one of four human-readable verdicts:
| Score Range | Verdict | What It Signals |
|---|---|---|
| 7.5 – 10.0 | Strong fit | The top band. Needs a Quality axis, a Value axis and a momentum score; momentum below 2.5 caps the composite at 6, so falling prices rule it out. |
| 5.0 – below 7.5 | Good fit | Scores well on some axes, not all. |
| 3.0 – below 5.0 | Weak fit | Scores low on several axes: fundamentals, valuation or momentum. |
| 0.0 – below 3.0 | Poor fit | Low scores across the board. |
These labels are shorthand for the underlying numbers. They are not buy or sell recommendations. The label “Strong fit” means “this stock scores well on our quantitative models” — it does not mean “you should buy this stock.” A stock that lacks a Quality axis, a Value axis or 12-month momentum has no composite score at all; it is shown as absent, never as 0.
Reading the Four Axes
The composite score tells you the overall picture, but the four axis scores tell you why. On each stock detail page, you will see individual scores for:
- Quality (40% weight): Business strength, profitability, financial health. Powered by Piotroski F-Score and Buffett quality analysis.
- Value (10% weight): Is the price cheap? Uses Graham's defensive-investor criteria, Lynch's categories and PEG, and Greenblatt's Magic Formula. The fair value on the stock page is shown separately and does not enter the score.
- Momentum (35% weight): the 12-1 month price return — the close about 30 days ago over the close about 365 days ago — ranked across the universe: 10 × the share of stocks with a lower return.
- Timing (15% weight): min(Value, Momentum). Detects value traps by requiring both cheapness and upward momentum.
A stock with Quality 9, Value 3 and Momentum 8 has Timing 3 and a composite of 7.2. The composite looks good, but the axes reveal a high-quality company that is not cheap. That context changes how you might act on the score.
A Step-by-Step Approach
- Start with the rankings. Sort by composite score to see which stocks currently rank highest across all dimensions.
- Check the verdict label. Use it as a quick way to see which stocks meet most of the criteria: Good fit or Strong fit.
- Drill into the axes. Click any stock to see its Quality, Value, Momentum, and Timing breakdown. Identify which factors are driving the score.
- Compare within the sector. Use the screener to filter by sector. A high score in a sector where few stocks score well can say more than the same score in a sector where many do.
- Do your own research. The score handles the quantitative screening. You add the qualitative judgment: management quality, competitive position, regulatory risks, and your own risk tolerance.
What Scores Cannot Tell You
Scores are backward-looking: they reflect the most recently available financial data and price trends. They cannot account for breaking news, pending lawsuits, regulatory changes, or management decisions that have not yet affected the numbers.
They also cannot replace your personal financial context. A stock rated “Strong fit” may not be appropriate for your portfolio if you are already overexposed to that sector, nearing retirement, or investing money you cannot afford to lose.
Learn more about the full scoring methodology in our composite score guide or the detailed methodology page.
Frequently Asked Questions
What does a stock score of 7.5 or higher mean?
A composite of 7.5 or more earns a "Strong fit" verdict. It needs a Quality axis, a Value axis and a momentum score, weighted mostly toward Quality (40%) and Momentum (35%). Momentum below 2.5 caps the composite at 6, so a stock with falling prices cannot reach it.
How often are stock scores updated on AlphaStocks?
AlphaStocks recalculates composite scores daily using the latest SEC EDGAR filings and market price data from Alpaca Markets. Scores can change after new quarterly earnings reports, significant price movements, or index rebalancing.
Is a "Strong fit" score a recommendation to purchase?
No. AlphaStocks scores are algorithm-generated research tools, not personalized investment advice. "Strong fit" describes how the stock measures up to five published methods and price momentum; it is not a recommendation to buy, sell or hold.
What is the difference between Quality and Value in the score?
Quality (40% weight) measures how strong the business is — profitability, financial health, and how durable its returns have been (Piotroski and Buffett). Value (10% weight) measures whether the price is cheap by Graham's, Lynch's and Greenblatt's definitions. A company can be high-quality but expensive, or low-quality but cheap.
Related Guides
This article is for educational purposes only. AlphaStocks provides algorithm-generated research tools, not personalized investment advice. Scores, ratings, and verdict labels are mathematical outputs based on historical financial data. They do not predict future stock performance. Past performance does not guarantee future results. Always conduct your own due diligence and consult a qualified financial adviser before making investment decisions. Data sourced from SEC EDGAR filings and Alpaca Markets.