DAX Index - 1 Year Evolution

1 Year Return

▲ +12.65%

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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: +207.50%

$10,000 in July 2023 would now be $30,750 by following this algorithm daily at market close.

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DAX Index Data

Open 18,340.85
High 18,341.82
Low 18,162.30
Close 18,171.93
Volume 58,262,300
Previous Close 18,354.76
1-Day Change -182.83
1-Year Change 2040.47
Average Daily Volume 68,307,968
52-Week High 18,869.36
52-Week Low 14,687.41

DAX index trading signals - July 19, 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 18162.75
-1.05%
16935.40
±1221.64
0.05%
±0.70%
-2 -3 172 -1.39
±0.73%
. -21 162 145 18155.24
-0.04%
18390.85
1.26%

Top 10 DAX Companies Concentration by Market Cap

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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.