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An OHLC chart, with a moving average and Bollinger bands superimposed. 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 ...
Monthly spot trading was up 128% to $3.43 trillion, marking the second-highest monthly total, while derivatives trading volume climbed 89.4% to $6.99 trillion, setting a record high, the report says.
Market Profile Tools to Support Trading Decisions; Liquidity Data Bank Volume Analysis; Volume is said to identify signs of continuation or change, to infer the directional facilitation of trade, but "volume data, by itself, is meaningless". The reason given is that "it is essential to know what market participants are doing".
Open-high-low-close chart – OHLC charts, also known as bar charts, plot the span between the high and low prices of a trading period as a vertical line segment at the trading time, and the open and close prices with horizontal tick marks on the range line, usually a tick to the left for the open price and a tick to the right for the closing ...
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The Bloomberg Terminal is a computer software system provided by the financial data vendor Bloomberg L.P. that enables professionals in the financial service sector and other industries to access Bloomberg Professional Services through which users can monitor and analyze real-time financial market data and place trades on the electronic trading platform. [1]
Order flow trading is a type of trading strategy and form of analysis used by traders on the markets, other popular forms of market/trading analysis include technical analysis, sentiment analysis and fundamental analysis. [1] Order flow trading is the process of analysing the flow of trades being placed by other traders on a specific market. [2]
Algorithmic trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. [1] This type of trading attempts to leverage the speed and computational resources of computers relative to human traders.
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