^GDAXI
19,884.75
▼ -0.43%
Stock Index
DAX
Index Symbol: ^GDAXI
Total Market Capitalization (USD): $1.908 Trillion
DAX Index - 1 Year Evolution
1 Year Return
▲ +18.70%
Daily close values, with moving averages and volumes
Moving averages:
- — EMA20
- — SMA50
- — SMA200
DAX Index Description
The DAX - Deutscher Aktienindex (German stock index) - is a stock market index consisting of the 40 major German blue-chip companies trading on the Frankfurt Stock Exchange. Benchmark index of the German market, DAX measures the performance of the Prime Standard’s 40 largest German companies in terms of order book volume and market capitalization.
On Nov 24, 2020, Deutsche Börse announced an expansion of the DAX from 30 to 40 members.
Top 1-year algo backtest: +265.99%
$10,000 in October 2023 would now be $36,599 by following this algorithm daily at market close.
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DAX Index Data
| Open | 19,822.87 |
| High | 19,924.70 |
| Low | 19,649.87 |
| Close | 19,884.75 |
| Volume | 135,977,900 |
| Previous Close | 19,969.86 |
| 1-Day Change | -85.11 |
| 1-Year Change | 3133.11 |
| Average Daily Volume | 64,040,701 |
| 52-Week High | 20,426.27 |
| 52-Week Low | 16,431.69 |
DAX index trading signals - Dec. 20, 2024 close
|
trending_down
DAX Index [Trending Down] |
Position to Moving Averages | Cross Moving Averages Positions | Support / Resistance | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Trading signals of DAX stocks | Last Close / Change | 1-Year Mean / Standard Deviation | 1-Year Return Mean / Standard Deviation |
1. Price/EMA20 2. Price/SMA50 3. Price/SMA200 |
20-Day Z-Score / 20-Day StD. | Golden / Death Cross |
1. EMA20/SMA50 2. EMA20/SMA200 3. SMA50/SMA200 |
Support / Downside | Resistance / Upside |
| Stock Index | Closing Price |
1-Y Mean StD. |
1-Y Ret. Mean StD. |
Pos. to Mov. Avg. | 20D Z-Score 20D StD. |
Golden/Death Cross | Cross Mov. Avg. Pos. | Support Downside |
Resistance Upside |
| trending_up Stocks Trending Up trending_down Stocks Trending Down |
19916.56
-0.27% |
18363.28
±916.00 |
0.07%
±0.76% |
-2 21 98 |
.
±0.68% |
. | 17 252 252 |
19593.52
-1.62% |
20009.41
0.47% |
DAX index movers as of Dec. 20, 2024 market close
| Stock | Company | Industry | Change |
|---|---|---|---|
| ENR | Siemens Energy | Utilities—Independent Power Producers | 2.47% |
| VNA | Vonovia SE | Real Estate Services | 2.40% |
| VOW | Volkswagen | Auto Manufacturers | 1.63% |
| BMW | Bayerische Motoren Werke AG | Auto Manufacturers | 0.80% |
| BAYN | Bayer AG | Drug Manufacturers—General | 0.59% |
| HEN | Henkel AG & Co KGaA | Household & Personal Products | 0.54% |
| BNR | Brenntag AG | Specialty Chemicals | 0.42% |
| PAH3 | Porsche Automobil Holding SE | Auto Manufacturers | 0.39% |
| DHL | DHL Group | Integrated Freight & Logistics | 0.36% |
| SAP | SAP | Software—Application | 0.36% |
| Stock | Company | Industry | Change |
|---|---|---|---|
| CBK | Commerzbank AG | Banks—Regional | -1.77% |
| AIR | Airbus | Aerospace & Defense | -1.77% |
| MUV2 | Munich Re | Insurance—Reinsurance | -1.59% |
| RHM | Rheinmetall AG | Industrial Distribution | -1.39% |
| DBK | Deutsche Bank AG | Banks—Regional | -1.37% |
| FRE | Fresenius SE & Co KGaA | Medical Care Facilities | -1.23% |
| IFX | Infineon Technologies AG | Semiconductors | -1.20% |
| MRK | MERCK Kommanditgesellschaft auf Aktien | Drug Manufacturers—Specialty & Generic | -1.16% |
| SY1 | Symrise AG | Specialty Chemicals | -1.08% |
| MTX | MTU Aero Engines AG | Aerospace & Defense | -0.93% |
Top 10 DAX Companies by Market Cap as of July 1, 2024
Technology
IndustrialsTop 10 DAX Companies Concentration by Market Cap
Disclaimer
All information and data available on Disfold is NOT FINANCIAL ADVICE. Invest at your own risk!
Past performance is not a guarantee of future performance. Patterns tend to repeat themselves, but they don't necessarily have to.
Successful backtests on past data do not guarantee the future success of the strategy backtested, especially as backtest overfitting may occur: when the price of a stock may fit particularly well a given trading strategy over a given period, but not necessarily outside of that period. Besides, backtests do not account for exact market conditions and may yield significantly different results in real trading practice (fees, slippage...).
Furthermore, even though Disfold strives to provide the best and most accurate data, errors can occur in Disfold's systems, or in our data providers' systems.
Please conduct your own due diligence to verify insights.