ATLASMDAX today: level, companies and odds
The MDAX closed at 30,691 (+0.72%) on Nov 2, 2026. It has 49 members and ATLAS covers 48 of them, the largest being Porsche, Talanx, and Sartorius. Below: each member's price, how far it trades from ATLAS fair value and the model probability of a higher close in a month.
The MDAX tracks 50 mid-sized German companies that rank directly behind the DAX members by market value and trading volume, a broad view of the German mid-cap economy listed in Frankfurt.
Data as of Nov 2, 2026.
Index level
MDAX closed at 30,691 on November 2, 2026, up 0.72% on the previous session.
ATLAS breadth
27 of 48 members (56%) have a probability above 50% of closing higher in a month in ATLAS's model.
Of 43 members with a fair value estimate, 29 trade at least 8% below it and 11 at least 8% above; the median gap is -26%.
How to read it: ATLAS's calibrated model uses the same long-run drift for every stock, so the share above 50% mostly reflects how many members are calm enough (low volatility) to sit above a coin flip. It gauges how calm the index is, not where it is going.
Best and worst members on the last close
Best
| PUM.XETRAPUMA | €26.62 | +5.6% |
|---|---|---|
| EVD.XETRACTS Eventim AG & Co | €64.90 | +2.1% |
| NEM.XETRANemetschek | €74.80 | +1.9% |
| P911.XETRAPorsche | €46.72 | +1.3% |
| TLX.XETRATalanx | €128.40 | +1.1% |
Worst
| WAF.XETRASiltronic | €58.25 | -7.5% |
|---|---|---|
| SMHN.XETRASÜSS MicroTec | €50.95 | -7.4% |
| DEZ.XETRADeutz | €9.44 | -7.1% |
| ELG.XETRAElmos Semiconductor | €121.00 | -6.9% |
| BC8.XETRABechtle | €33.50 | -6.0% |
Moves are for the latest stored close of each stock.
All MDAX companies
Weights are each member's share of the combined market value of the 48 companies listed here: an estimate, not the official index weighting.
Sector mix
Consumer Cyclical is the biggest sector with 29% of the combined market value of the members.
How this page is built
Members: the list of companies in the MDAX comes from an index-data provider and is refreshed every week. Companies ATLAS does not publish (too small, no data or not listed in the country) are left out, so this page covers 48 of 49.
Price, fair value and probability come from the same stored data as each company page; probabilities use ATLAS's calibrated one-month model. The index level and daily change are for the last close of the index.
Limits: this is not the official index factsheet. Weights are estimated from market value, probabilities are not forecasts, and nothing here is investment advice.
Frequently asked questions
What is the MDAX?
The MDAX tracks 50 mid-sized German companies that rank directly behind the DAX members by market value and trading volume, a broad view of the German mid-cap economy listed in Frankfurt. ATLAS covers 48 of its 49 members.
Which are the biggest companies in the MDAX?
By market value the largest members are Porsche, Talanx, and Sartorius. Together the top three make up 27% of the combined market value of the 48 members listed here.
How many companies are in the MDAX?
The index has 49 members; ATLAS publishes 48 of them.
What does ATLAS breadth mean for the MDAX?
It is the share of members whose probability of closing higher in a month is above 50% in ATLAS's calibrated model: 56% today (27 of 48). Because the model uses one long-run drift for all stocks, it mostly measures how calm the members are. It is not a forecast for the index.
Which MDAX stocks moved the most on the last close?
On the latest stored close, PUMA rose the most (+5.6%) and Siltronic fell the most (-7.5%) among members.
Can I invest in the MDAX?
An index is a list, not a product, so you cannot buy it directly. Funds that replicate it exist in many markets, but ATLAS does not recommend products. Check costs, taxes and currency before choosing any.
How often is this page updated?
Prices and probabilities are refreshed every day and the page is rebuilt at least every 6 hours. The member list is refreshed every week.
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Other indices
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Information only, not investment advice. ATLAS estimates come from statistical models using public data; they can be wrong, and past results do not guarantee future ones. Disclaimer