DESign up

Scope

What StockScorer
is not.

A tool that scores stocks against financial metrics invites one misunderstanding above all: that somebody here is telling you what to do. That is not what happens. This page draws the line as clearly as we can.

Seven things StockScorer is not

These points are not fine-print hedges. They describe how the product is actually built.

Not investment advice.

StockScorer knows nothing about your financial situation, your goals, your time horizon or your capacity to bear risk, and it never asks. Without those inputs, advice is not possible by definition. No investment advice and no investment brokerage within the meaning of the German Banking Act or Securities Trading Act takes place here.

No recommendations to act.

There is no recommendation to buy, hold or sell securities, neither stated outright nor dressed up as a traffic light, a grade or a ranking. The score is a sum of points: every rule in the chosen profile, whether your own or a curated one, awards points when it is met, and some can be negative. The scale runs from the sum of all negative to the sum of all positive rule points (about −14 to +14 for the Levermann profile), and public stock pages also show it normalised to 0 to 10. Every contribution is visible individually. If an exclusion rule applies, the stock is not rated, and the points are still shown. That is why the levels are called high, medium and low match, and nothing else.

No trading signals, no trade ideas.

We do not send signals or run a model portfolio to copy. Public lists and strategy pages are mechanical outputs of published rules, not an editorial selection and not a recommendation. Notifications report changes, for example that a metric has touched a threshold you set yourself or that a stock's match level in your profile has changed. That is an observation, not an instruction.

Not a broker, and no access to your money.

StockScorer executes no orders, routes none, and connects to no brokerage account. We hold no client funds and no securities. A portfolio inside the app is a virtual portfolio that you maintain yourself, a simulation with no link to a bank or a broker. Nothing moves there except numbers.

Not asset management.

Nobody here makes decisions on your behalf, not partially and not automatically. There is no power of attorney, no discretionary mandate and no delegation of decisions to the system.

Not a data provider.

The financial figures come from an external provider, Leeway. We check them for plausibility, but we do not collect them ourselves and cannot guarantee their accuracy. Anyone wanting to reuse the data for their own purposes needs a licence from the provider, not from us.

No promise of results.

A backtest shows how a rule set would have fitted historical data. It says nothing about what happens next. Past performance is not a reliable indicator of future results, and a strong backtest may simply mean the rules happen to fit the past.

A reading, not a verdict

ReadingMicrosoft CorporationMSFTStockScorer scoreHigh7.3
Rule
Points
not met
Free cash flow yield above the sector median
0
met
Return on capital (Greenblatt ROC) above the sector median
+2
met
Return on equity above the sector median
+1
met
Free cash flow margin above the sector median
+2
met
Revenue growth above 15%
+2
met
3-year earnings growth above 12% p.a.
+1
not met
12-month share price more than 20 percentage points ahead of the market
0
Exclusion: financial and real estate stocksdoes not apply
–
Total 8 of 11 points normalised 7.3 / 10

A real measurement of one example, shown for traceability: this is how a score is built, rule by rule. Not an assessment of the stock.

As of: 11/06/2026How the score is calculatedView the stock page

What it is instead

The same boundary stated positively. At its core, StockScorer consists of three tools. Watchlists, virtual portfolios, alerts and comparison build on them.

A rule editor. You define what quality, growth or an attractive valuation means to you, for example return on equity above 15 percent. Those conditions become a rule set that belongs to you and that you can change at any time.
An engine that applies those rules. Every night your rules run across the stock universe: Germany 40, Germany Mid 50, Germany Small 70, Eurozone 50, S&P 500 and NASDAQ-100 on the free plan, every further index with Plus or Premium. The result is a score per stock, broken down to the individual rule. None of it is a black box; every number can be traced.
A rear-view mirror for your rule set. The backtest shows how the same rules would have played out on historical data, drawdowns and weak phases included. Its purpose is to help you understand your own rule set, not to extend a result into the future.

Common questions about scope

Why does every stock still carry a score?
Because you want to know how closely a stock matches the criteria of a profile, your own or a published one. The score measures those rules. It is not a judgement about the company and says nothing about whether a stock suits your situation.
Isn't a list of high-match stocks effectively a selection?
It is the mechanical output of a profile's conditions, your own or a published one: the same rules applied to every stock, sorted by score. No editorial selection takes place, nobody reviews the individual names, and no claim is made about suitability. Change one threshold and the list looks different.
Why are there public lists if you select nothing?
The lists show which stocks a published rule set currently returns with the highest match, calculated daily and purely mechanically. Each list names the rules behind it, nobody picks names by hand, and no claim is made about suitability. They show what a rule set outputs and are at most a starting point for your own research, not a recommendation.
What do the backtest and the live record on strategy pages show?
The backtest replays a rule set on historical data: a rear-view mirror, not a forecast. The live record is a virtual portfolio that has followed the same rules since the profile was published and cannot be optimised after the fact; if the rules change, the count starts over. Both document how a rule set behaved or behaves, say nothing about future results and are not a model portfolio to copy.
What about the AI assistant?
The optional assistant helps you phrase rules, for instance when you describe a condition in words and want it translated into the rule editor. It never scores stocks itself, makes no selection and offers no view on individual names.
Who is this for?
Private investors who want to apply their own criteria systematically and across many stocks at once, rather than researching one by one. Anyone looking for a recommendation tailored to their personal circumstances needs investment advice, which we do not offer.

Check it yourself

Read how a score is built, or try it yourself without an account.

How the scoring worksDemo without an account