Join the club of 45 lakh+ tech savvy investors!
DAX
DAX Performance
Day Range
- Low 18962.19
- High 19198.74
- Open19153.03
- Previous Close19005.39
DAX Chart
- 1 Day + 0.26%
- 1 Week -0.15%
- 1 Month -3.07%
- 3 Months + 3.43%
- 6 Months + 1.87%
- 1 Year + 19.67%
- 3 Year + 17.9%
DAX Technicals
EMA & SMA
- Bullish Moving Average
- ___
- 5
- Bearish Moving Average
- ___
- 11
- 20 Day
- 19241.55
- 50 Day
- 19181.44
- 100 Day
- 18756.01
- 200 Day
- 18441.5
DAX Resistance and Support
| Resistance | |
|---|---|
| First Resistance | 19181.14 |
| Second Resistance | 19308.21 |
| Third Resistance | 19417.69 |
| RSI | 46.36 |
| MFI | 0 |
| MACD Single Line | -34.92 |
| MACD | -0.59 |
| Support | |
|---|---|
| First Support | 18944.59 |
| Second Support | 18835.11 |
| Third Support | 18708.04 |
About DAX
The DAX, also known as Deutscher Aktien Index, is a stock market index that closely monitors the progress of the top 40 largest and most active German corporations traded on the Frankfurt Stock Exchange.
Founded in 1988, the DAX is the leading German stock market index, tracking the 40 largest and most liquid companies on the Frankfurt Stock Exchange. The market-capitalization weighted approach reflects company influence based on total market value. The index covers various sectors, including automotive, chemicals, pharmaceuticals, and industrials.
Monitoring the DAX provides insights into leading German companies and the overall German economic health. The DAX is highly respected and widely followed as a crucial indicator of the performance of the German economy.
Other Indices
| Indices Name | Price | Price Change (% change) |
|---|---|---|
| S&P ASX 200 | 8323.00 | -3.3 (-0.04%) |
| CAC 40 | 7222.87 | 17.4 (0.24%) |
| DAX | 19054.07 | 48.68 (0.26%) |
| Dow | 43413.48 | 139.53 (0.32%) |
| FTSE 100 | 8095.28 | 13.24 (0.16%) |
| Hang Seng | 19626.36 | -78.66 (-0.4%) |
| Nikkei 225 | 38001.51 | -350.76 (-0.91%) |
| S&P | 5953.75 | 2.25 (0.04%) |
| Gift Nifty | 23365.50 | -288 (-1.22%) |
| Shanghai Composite | 3364.19 | -3.8 (-0.11%) |
| Taiwan Weighted | 22555.66 | -132.7 (-0.58%) |
| US 30 | 43385.00 | -23.5 (-0.05%) |
| ATX Prime | 0.00 | (%) |
| KBW Bank | 0.00 | (%) |
| ARCA Biotechnology | 0.00 | (%) |
| PSI All Share Gross Return | 0.00 | (%) |
| ISE Cloud Computing | 0.00 | (%) |
| DJC: Dow Jones-UBS Commodity Index | 0.00 | (%) |
| Dow Jones Transportation | 0.00 | (%) |
| Dow Jones Utility | 0.00 | (%) |
| Dow Jones Biotechnology | 0.00 | (%) |
| Dow Jones Oil & Gas | 0.00 | (%) |
| ARCA Pharmaceutical | 0.00 | (%) |
| First North Finland EUR PI | 0.00 | (%) |
| NASDAQ Financial 100 | 0.00 | (%) |
| NASDAQ Health Care | 0.00 | (%) |
| S&P Midcap 400 | 0.00 | (%) |
| NASDAQ Biotechnology | 0.00 | (%) |
| Nasdaq 100 | 0.00 | (%) |
| NASDAQ 100 Technology Sector | 0.00 | (%) |
| S&P 100 | 0.00 | (%) |
| S&P Small-Cap 600 Index | 0.00 | (%) |
| S&P OIL GAS EXPLOR PROD | 0.00 | (%) |
| S&P RETAIL SELECT INDUST | 0.00 | (%) |
Faqs
What is the DAX Index?
The Deutscher Aktien Index also referred to as the DAX or the GER40, is a stock index that represents 40 of the biggest and most liquid German companies that are traded on the Frankfurt Stock Exchange.
What are the major companies of the DAX index?
How does DAX Index work?
To act as a trustworthy benchmark for such comparisons, the DAX index selects the companies that it includes in its portfolio based on two key selection criteria:
- Maintaining its order book turnover over the previous year on the Frankfurt trading floor and the Xetra trading system
- Having free-float market capitalization on the final day of the month
What time does DAX open in India?
The trading hours for this exchange are from 9:00 AM to 05:30 PM local time (12:30 PM to 9:00 PM IST).
Disclaimer: Derived prices are not provided by exchanges. They are derived by market makers in CFD OTC market and hence prices may not be accurate and may differ from the actual market price, meaning prices are indicative only and not appropriate for trading purposes. Therefore 5Paisa doesn't bear any responsibility for any trading losses you might incur as a result of using this data