3 days ago Gold prices staged a recovery during the American session by rising from than $50 from the bottom. It recovered ground as Wall Street moved Get reduced intraday margin rates overnight on U.S. equity index futures, full- sized Crude Oil, 30-Year MINI-DAX, FDXM, €4,526, €4,526, 50% of initial. Kindly visit telegram channel for more price action based charts for learning. Additional Intraday charts are only posted in channel along with BankNifty & Nifty 13 Dec 2017 This is Dax 1m optimized for MT4. The extension of the file is .CSV format, so you can use it whenever you want and start investing. Good for
featured intraday charts Live Index Charts Dow Jones Chart S+P Chart Nasdaq Comp Chart Nasdaq 100 Chart NYSE Chart DAX Chart CAC40 Chart Swiss SMI Chart NIKKEI Chart Hang Seng Chart Korean Kospi Chart Australia ASX chart Spain 35 chart Euro Stoxx 50 index LONG TERM CHARTS Oil and Metal Charts GOLD Chart SILVER Chart Copper Price Chart Crude Oil
Intraday 1 minute pricing data for S&P 500, NIKKEI 225, DAX 30 and more - FutureSharks/financial-data. German Stock Index DAX 30 was formerly known as Deutscher Aktien IndeX 30. Intraday, 52 Week The electronic Xetra trading system provides the prices. DAX 30 CHART. Intraday; 1 Week; 1 Month; 3 Months; 6 Months; 1 Year; 3 Years; 5 Years; Max. Chart. Period. Intraday, 1 Week, 1 Month, 3 Months, 6 Months Opening price, High, Low, Bid price, Bid vol, Ask price, Ask vol, Diff. to prev. day last intraday auction starting at 13:00 CET (for MDAX® Futures at 13:05 CET).
3 Jul 2014 On 6/30 DAX made up its daily POC at 9847 price level (red line on chart). Furthermore, another price level has to be underlined: 9840 price level
FirstRate Data is a leading provider of high resolution intraday stock market, crypto and fx data. We source data direct from major exchanges and test all datasets for consistency and completeness. Our cost-effective, historical intraday data-sets are used for algo testing by over 20,000 traders and hedge funds. For example, the chart below shows how the intraday Dax volumes increase near the open and the close of the cash market. This indicates when the liquidity is generally higher for trading Dax 30. With this deposit, day traders are able to trade instruments valued much greater than the margin price via leverage. For example, the current day trading margin for the E-mini S&P 500 (ES) is $500, and the ES is trading at roughly 2,375 points. With each point in the ES valued at $50,
European stock futures pointed to a sharply lower open for markets on Thursday, with those for the German DAX 30 index and the FTSE 100 index sliding more than 4%. FTSE 100 index futures fell over 1%.
The Intraday Seasonals Enhancement In our unique addition to intraday research–not found in Larry’s original work or in the intraday charts of other trading software–we calculate how markets cycle in different scenarios. I am looking for long time historical intraday day data on the S&P500 composite for a time horizon like 10 years with a - for example 10-minutes tick - or prices for call/put options on the S&P500 index itself. What I tried so far: I checked Bloomberg Terminal and also contacted their Help Desk.
DAX30_intraday The zone 10640-10689 has been broken to the downside. Look for Lower timeframe reversal patterns in following price zones: Selling zone: 10650-10720 and 10790-10830 Buying zone: 10475-10430
Germany's largest cap stocks are contained within the DAX 30 index. Trading via CFD or spread betting is very popular on the DAX 30 as it is well known for wild intraday swings. This, of course, comes with high risk as well as potential for high profit. Here's the SPX & DAX data in CSV format (you can open in Excel): and this is the Yahoo finance SPX & DAX page to obtain that data: $\begingroup$ Thanks but this is the daily data, intraday means like on 1-min or hourly frequencies $\begingroup$ thx its interesting, but I need the empirical real data Dax 1m is a collection of historical prices. The file contains the following information. In order: Date, Open, High, Low, Close, Volume. We are able to provide consistent and reliable financial data thanks to an algorithm able to collect data directly from the market, without any kind of intermediary. Are low price