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2. List of largest daily changes in the Nasdaq Composite

   en.wikipedia.org/wiki/List_of_largest_daily...

   Largest intraday percentage drops An intraday percentage drop is defined as the difference between the previous trading session's closing price and the intraday low of the following trading session. The closing percentage change denotes the ultimate percentage change recorded after the corresponding trading session's close.

3. List of largest daily changes in the S&P 500 Index - Wikipedia

   en.wikipedia.org/wiki/List_of_largest_daily...

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4. List of largest daily changes in the Dow Jones Industrial ...

   en.wikipedia.org/wiki/List_of_largest_daily...

   Largest intraday point losses that turned positive. These are the largest intraday point losses that closed in positive territory at the end of the trading session. In order to be considered an intraday point loss, the intraday low must be below the previous day closing price, while the opening price is used to calculate intraday lows.

5. CQG - Wikipedia

   en.wikipedia.org/wiki/CQG

   CQG is a US-based company creating financial software for market technical analysis, charting, and electronic trading.CQG specializes mostly in the futures market but provides both real-time and historical data from more than 100 exchanges from North and South America, Europe, Asia and Australia, including CBOE Futures Exchange (http:cfe.cboe.com) CME, CBOT, NYSE, NYMEX, LIFFE, LSE, London ...

6. Closing milestones of the S&P 500 - Wikipedia

   en.wikipedia.org/wiki/Closing_milestones_of_the_S...

   On March 28 and April 10, 2013, the index's October 2007 closing and intraday trading highs, respectively, were surpassed for the first time, recovering all losses incurred during the Great Recession. [6] [21] [22] [23] The index surpassed 2,000 for the first time on August 26, 2014, reaching an all-time closing high of 2,130.82 on May 21, 2015 ...

7. High frequency data - Wikipedia

   en.wikipedia.org/wiki/High_Frequency_Data

   Data collected details both trades and quotes, including price changes and direction, time stamps, and volume. Such information can be found at the TAQ (Trade and Quote) database operated by the NYSE. [4] Where trade data details the exchange of a transaction itself, quote data details the optimal trading conditions for a given exchange.