By Maksym Lytvynov, Founder of AlphaStocks | Last updated: March 2026
How to Read Stock Scores: A Beginner's Guide
A stock scores 8.7. Another scores 3.2. What do those numbers actually mean, and how should they change what you do? AlphaStocks rates every stock in its 1,595-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. A score of 5.0 represents the median — neither particularly strong nor weak. Scores above 7.0 indicate multi-dimensional strength; scores below 3.0 indicate weakness across multiple factors.
The score distribution across the full coverage universe is roughly normal, with most stocks clustering between 4.0 and 6.5. Extreme scores at either end are rare and meaningful.
The Six Verdict Labels
Each composite score maps to one of six human-readable verdicts:
| Score Range | Verdict | What It Signals |
|---|---|---|
| 8.5 - 10.0 | Strong Buy | Exceptional across all four axes. Fewer than 40 stocks out of 1,595 typically qualify at any time. |
| 7.0 - 8.4 | Buy | High quality, attractively valued, and trending upward. Strong candidate for deeper research. |
| 5.5 - 6.9 | Hold | Decent fundamentals but not compelling on value or momentum. Existing positions may be worth keeping. |
| 4.0 - 5.4 | Neutral | Mixed signals across models. No clear quantitative advantage over a broad index fund. |
| 2.5 - 3.9 | Below Average | Weakness in multiple axes. Fundamentals or momentum are raising concerns. |
| 0.0 - 2.4 | Avoid | Low scores across the board. Multiple models are flagging problems. |
These labels are shorthand for the underlying numbers. They are not buy or sell recommendations. The label “Strong Buy” means “this stock scores exceptionally well on our quantitative models” — it does not mean “you should buy this stock.”
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): Price attractiveness relative to estimated intrinsic worth. Uses Graham Fair Value, Lynch PEG, and Greenblatt Magic Formula.
- Momentum (35% weight): 6-month price trend, percentile-ranked within the full coverage universe.
- Timing (15% weight): min(Value, Momentum). Detects value traps by requiring both cheapness and upward momentum.
A stock scoring 7.5 composite might have Quality 9.0, Value 3.0, Momentum 8.0, Timing 3.0. The composite looks good, but the axes reveal it is a high-quality company trading above fair value. 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 filter. Focus your research time on stocks rated Buy or Strong Buy.
- 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 score of 7.0 in a weak sector may be more significant than 7.5 in a universally strong one.
- 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 Buy” 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.
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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.