- The families
- The recent rise, pullback, repricing, repair and confirmation lenses look for a price state, without saying which way it goes. Core is the house blend: with quotas, it brings together quality pullback, confirmation and names that have moved between −8% and +15% over three months, with no volume spike and close to their 200-session average, sorted by priority. A lens does not predict; it narrows where to look.
- Your own lenses
- With Pro+ you define your conditions in the Research Lab, check them against US or European history since 2005 and save them as a Radar lens, recomputed every morning alongside the built-in lenses.
- Liquidity by default
- The liquidity filter starts on: it prioritizes companies that pass it; you can widen the search from there. It can be switched off, and then what appears says so.
- What is ruled out first
- What has already risen too far in 60 sessions, what trades at its yearly high, what comes from a very steep fall and what reports earnings within days, according to each lens's rules: with earnings imminent, the price may move on the numbers rather than on what the lens looks for.
- Drivers and brakes
- Each candidate carries one or two drivers (the state of its price and, where present, a second item: relative strength against its sector, growth support, pullback quality or an event with a recorded date) and, where present, a technical brake. They are labels with thresholds, not opinions.
- Notices, by family
- Record notices come from public filings and are grouped into families (financial, liquidity, events, structure, sector, data) with their severity. The headline one is the most serious of the day; the rest is in the profile.
- Coverage and bias
- Operating companies in the United States and Europe. This sample is from the United States; Europe is served with the same lenses. The history used to test the lenses only includes companies still trading today: those that stopped trading are missing, in every year and not only before 2016. Data and document coverage depends on each issuer and is stated in its profile.
- Honest freshness
- Each list carries the date it was computed and each notice the date of its source. Old data looks old; missing data says so. We don't fill gaps.