Stock Scoring: Rate Stocks Systematically by Rules
Stock scoring shows you a score for every stock and each single rule behind it: fixed criteria instead of gut feeling.
- Rule based, no black box
- Updated nightly
- Every rule disclosed
4 of 7 met rules, ordered by points
Current evaluation of the default profile from the nightly scoring run. Purely informational, not a recommendation to buy, hold or sell.
Figures from the last completed scoring run. Every classification can be traced down to the single rule and metric.
The same evaluation for every stock in the universe.
Adopt the default profile, adjust thresholds, trace the result.
Free and without payment details: Germany 40, Germany Mid 50, Germany Small 70, Eurozone 50, S&P 500 and NASDAQ-100. The full universe is available with Plus or Premium.
How a score is built
Four steps, identical for every stock. No discretion, no adjusting the method to the desired outcome.
- Define the universe
Which stocks get checked is fixed before any evaluation. That keeps headlines out of the selection.
- Collect metrics
The same fundamentals from the same source for every stock, refreshed nightly.
- Check the rules
Every metric runs against a fixed threshold. Met adds points, violated subtracts, exclusion rules first.
- Sum up and classify
The total is placed against two thresholds, which yields a high, medium or low match with the profile.
Take the rule set into your own hands.
Copy the profile, change thresholds and weights in the rule editor, check it against historical data.
Current ranking of the default profile
This is what stock scoring looks like in practice: the ranking of the StockScorer default profile, a balanced rule set of quality, valuation and stability criteria. Large companies come first, within a size class the score decides. The ranking is generated fully automatically from the nightly scoring run.
Purely mechanical rule application, no curated-list effect: stocks with a high match can fall just like any other stock.
Dots per card, in this order: Profitability, Growth, Valuation, Momentum. Filled means at least one rule in the category is met.
Score distribution across the market
Based on all 16,182 stocks with a score. Not rated are stocks that the profile does not classify because of a size limit or an exclusion rule.
| Score | Number of stocks | High match | Medium match | Low match | Not rated |
|---|---|---|---|---|---|
| 0 | 3,618 | 0 | 0 | 3,244 | 374 |
| +1 | 1,207 | 0 | 0 | 1,050 | 157 |
| +2 | 2,969 | 0 | 0 | 2,522 | 447 |
| +3 | 1,551 | 0 | 0 | 1,299 | 252 |
| +4 | 1,912 | 0 | 0 | 1,452 | 460 |
| +5 | 1,347 | 0 | 0 | 1,025 | 322 |
| +6 | 1,343 | 0 | 967 | 0 | 376 |
| +7 | 950 | 738 | 0 | 0 | 212 |
| +8 | 752 | 555 | 0 | 0 | 197 |
| +9 | 286 | 214 | 0 | 0 | 72 |
| +10 | 218 | 186 | 0 | 0 | 32 |
| +11 | 29 | 26 | 0 | 0 | 3 |
What is stock scoring?
Scoring translates a company into points across several criteria: if a stock meets a rule (e.g. "return on equity above 15%"), it earns plus points; if it violates a criterion (e.g. "high debt"), minus points. The sum is a score showing how well a stock fits a defined investing style.
The advantage over judging each case individually: the method is consistent and repeatable. The same rule is applied to every stock in the universe, without affection for a well-known brand or a recent headline distorting the assessment.
Scoring, screening and rating: what's the difference?
A screen filters stocks in a binary way: a stock either passes a filter or drops out. Scoring goes further and awards graded points, producing a ranking, even among stocks that would all pass a coarse filter.
A rating (e.g. from an agency) is usually an external, partly opaque judgment. With rule-based scoring you define the criteria yourself and see, for every stock, exactly which rule contributed which point.
How StockScorer rates stocks
StockScorer evaluates every scoring profile purely by rules: rule by rule, the same way for every stock, with no black-box AI and no hidden weighting. Every rule and its contribution to the score is visible for each stock.
If the score exceeds a profile's upper threshold, the stock shows a high match with the profile; below the lower threshold, a low match. This classification is deliberately neutral and not a buy or sell recommendation.
Metrics are updated nightly through an automated pipeline, and every profile can be checked with a backtest against historical data before you rely on it.
Who is rule-based scoring for?
For anyone who wants to invest systematically rather than sporadically: once you define what makes a good company, you can apply that definition to the entire market automatically, and reproduce the assessment the same way any time.
You can start with one of the predefined profiles or set your own criteria, thresholds and weightings in the rule editor.
Keep reading
Three ways to read on: ready made rule profiles, the metric glossary and fundamental analysis as the foundation.
- /strategies
Scoring strategies
Ready made rule profiles: every rule disclosed, recalculated nightly, freely adjustable.
- /metrics
Metric glossary
Every metric explained: definition, meaning and typical pitfalls.
- /fundamental-analysis
Fundamental analysis
The broader field: judging companies by their metrics, the foundation of scoring.
Frequently asked questions about stock scoring
Short answers to the questions that come up when getting started.
Is a high score a recommendation to act?
No. A score only expresses how strongly a stock matches a profile's rules. The presentation is purely informational and does not replace individual investment advice.
Can I define the scoring rules myself?
Yes. After signing up for free, any profile can be copied and adjusted in the rule editor. Metrics, thresholds and weightings are freely configurable.
How many stocks are scored?
Scoring runs over a global universe of large and mid-cap companies (including Germany 40, S&P 500, MSCI World) and is updated nightly. The free account covers Germany 40, Germany Mid 50, Germany Small 70, Eurozone 50, S&P 500 and NASDAQ-100, the full universe is available with Plus or Premium.
How does scoring differ from a stock screener?
A screener filters stocks by yes/no criteria. Scoring awards graded points and produces a ranking. Both approaches can be combined in StockScorer.
Is StockScorer an AI?
No. Scoring itself always runs deterministically by rules, no black-box AI and no hidden weighting. An optional AI assistant can suggest a rule draft from a free-text description, it lands unchanged in the rule editor for you to review and edit. On the pages of some large US stocks, a language model also summarizes the annual report, labeled as such and with a verbatim quote for each statement. The AI never scores stocks itself.
Not investment advice. StockScorer is an information and analysis tool. Scores reflect rule-based criteria and are not a recommendation to buy, hold or sell securities.