A screener hands you a list. The work starts after that.
Filters are good at narrowing thousands of securities down to a few dozen. They cannot tell you why a ratio looks cheap, what the last quarter did to it, or how the hit overlaps with what you already own. hentschel.ai picks up exactly there.
Where a screener stops
A list, not an answer: the output is a set of tickers that passed a numeric test. Which of them deserves your time, and why, is left entirely to you.
Filters reward deteriorating businesses: a low P/E is often low because earnings are falling. A static filter cannot tell cheap from cheapening.
No portfolio awareness: the screen does not know your positions, so it will happily hand you a fifth name from the one sector you are already concentrated in.
Filter syntax as a barrier: every tool has its own fields, units and quirks, and a mis-set filter fails silently — you simply get the wrong list, with no warning that it is wrong.
What happens after the filter
The same universe – but every hit arrives with its reasoning, its context and its risk attached.
Technical & fundamental analysis
Trend, momentum and valuation read together – including the traps a static filter rewards: a cyclical earnings peak, a low multiple on falling earnings.
Multi-factor analysis
Momentum, value, quality, growth and analyst consensus as one transparent score, instead of a dozen separate filter boxes you have to weigh yourself.
Screening in plain language
Describe what you are looking for in a sentence. The screen is built, run and explained – there is no filter syntax to learn and no field to mis-set.
Market intelligence
Whether a hit is early or late in the lifecycle of its theme, and which catalysts are actually moving the sector it came from.
Risk & profile check
Every candidate is checked against the positions you already hold and the risk profile you set – a screener knows neither.
Backtesting
Test on real price history what adding a candidate would have done to your allocation, before you act on the list.
News & sentiment
Why a ratio moved: the news flow behind the number, aggregated across dozens of sources and scored per security.
Every figure sourced
Each metric names the data source it came from, so you can check the screen instead of trusting it.
hentschel.ai vs. classic stock screeners
An example
A screen set to "P/E below 12, dividend yield above 4 %" returns forty names, and a good share of them are cheap precisely because their earnings are shrinking. Ask hentschel.ai the same thing and the candidates come back ranked: why each one qualified, which direction its earnings are actually moving, the news behind the last move, and a note on which of them would push your portfolio deeper into a sector you are already heavy in.
If you already have a specific security in mind, there is a shorter route: every name has its own analysis page with a live quote, and the names are grouped by sector. Analyses by security and sector
Screening tools and their providers are not affiliated with hentschel.ai; the description above refers to the category rather than any one product. At hentschel.ai too, third-party market data, the metrics and scores we compute, and AI-generated text can all be wrong. This page is not investment advice.
Screen in a sentence, decide with the reasoning
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