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An open-high-low-close chart (OHLC) is a type of chart typically used in technical analysis to illustrate movements in the price of a financial instrument over time. Each vertical line on the chart shows the price range (the highest and lowest prices) over one unit of time, e.g., one day or one hour.
Such data is usually processed using real-time computing although it can also be stored for later or off-line data analysis. Real-time data is not the same as dynamic data. Real-time data can be dynamic (e.g. a variable indicating current location) or static (e.g. a fresh log entry indicating location at a specific time).
Chart of the NASDAQ-100 between 1994 and 2004, including the dot-com bubble. Day trading is a form of speculation in securities in which a trader buys and sells a financial instrument within the same trading day, so that all positions are closed before the market closes for the trading day to avoid unmanageable risks and negative price gaps between one day's close and the next day's price at ...
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.
In financial analysis, high frequency data can be organized in differing time scales from minutes to years. [3] As high frequency data comes in a largely dis-aggregated form over a time-series compared to lower frequency methods of data collection, it contains various unique characteristics that alter the way the data are understood and analyzed.
Latency is the time lag in delivery of real-time data, i.e. the lower the latency, the faster the data transmission speed. Processing of large amounts of data with minimal delay is low latency. The delivery of data has increased in speed dramatically since 2010, with "low" latency delivery meaning delivery under 1 millisecond.