Stock scoring means rating every stock by fixed, traceable rules, instead of gut feeling or headlines. Each metric is checked against a threshold, and the result adds a plus or minus point to an overall score. That lets you compare thousands of stocks by the same standards.
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.
Four steps, identical for every stock. No discretion, no adjusting the method to the desired outcome.
Which stocks get checked is fixed before any evaluation. That keeps headlines out of the selection.
The same fundamentals from the same source for every stock, refreshed nightly.
Every metric runs against a fixed threshold. Met adds points, violated subtracts, knockout rules first.
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.
This is what stock scoring looks like in practice: the currently highest-rated stocks according to the StockScorer default profile, a balanced rule set of quality, valuation and stability criteria. 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.
| Score | Number of stocks |
|---|---|
| 0 | 3,259 |
| +1 | 1,583 |
| +2 | 2,877 |
| +3 | 1,624 |
| +4 | 1,999 |
| +5 | 1,449 |
| +6 | 1,295 |
| +7 | 1,023 |
| +8 | 661 |
| +9 | 270 |
| +10 | 190 |
| +11 | 35 |
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.
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.
StockScorer evaluates every scoring profile purely by rules (tree-walking over a condition tree), 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.
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.
Three ways to read on: ready made rule profiles, the metric glossary and the methodology behind them.
Ready made rule profiles: every rule disclosed, recalculated nightly, freely adjustable.
Every metric explained: definition, meaning and typical pitfalls.
The broader method that scoring operationalises.
The questions asked most often when getting started. The answers stay in the page source even when a question is collapsed.
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.
Yes. After signing up for free, any profile can be copied and adjusted in the rule editor. Metrics, thresholds and weightings are freely configurable.
Scoring runs over a global universe of large and mid-cap companies (including DAX, S&P 500, MSCI World) and is updated nightly.
A screener filters stocks by yes/no criteria. Scoring awards graded points and produces a ranking. Both approaches can be combined in StockScorer.
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. 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.