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Average Volume (3 months) vs Market Capitalization. Volume Analysis (also referred to as price–volume trend and volume oscillators) is an example of a type of technical analysis that examines the volume of traded securities to confirm and predict price trends.
On-balance volume (OBV) is a technical analysis indicator intended to relate price and volume in the stock market. [1] OBV is based on a cumulative total volume. [ 2 ]
In capital markets, volume, or trading volume, is the amount (total number) of a security (or a given set of securities, or an entire market) that was traded during a given period of time. In the context of a single stock trading on a stock exchange , the volume is commonly reported as the number of shares that changed hands during a given day.
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.
In finance, technical analysis is an analysis methodology for analysing and forecasting the direction of prices through the study of past market data, primarily price and volume. [1] As a type of active management , it stands in contradiction to much of modern portfolio theory .
Volume–price trend (VPT) (sometimes price–volume trend) is a technical analysis indicator intended to relate price and volume in the stock market.VPT is based on a running cumulative volume that adds or subtracts a multiple of the percentage change in share price trend and current volume, depending upon the investment's upward or downward movements.
The Advance-Decline data also known as AD data are calculated to show the number of advancing and declining stocks and traded volume associated with these stocks within a market index, stock market exchange or any basket of stocks with purpose of analysis of the sentiment within the analysed group of stocks.
Delivery of price data from exchanges to users is highly time-sensitive. Specialized software and hardware systems called ticker plants are designed to handle collection and throughput of massive data streams, displaying prices for traders and feeding computerized trading systems fast enough to capture opportunities before markets change.
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