DEGet started free
Categoryanalysis tool
Recommendationsnone
Brokerage accessnone

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 says one thing only: how many of the rules you defined a stock satisfies. 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, run model portfolios or publish selections meant to be acted on. If you set up a notification, it reports only that a metric has touched a threshold you set yourself. 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 read-only replica for your own overview; 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. 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.

What it is instead

The same boundary stated positively. StockScorer does three things, and only these three.

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 entire stock universe. 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 your own criteria. The score measures your 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 your own conditions: 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.
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.