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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.
A new and expanded 335 page CBOT Market Profile manual, CBOTMP2, was released in 1991, (5). In this volume the first five sections are devoted to profile analysis. The last section discusses LDB data. Unlike CBOTMP1, there is no emphasis on a Market Profile ticker product.
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.
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.
Joseph Ensign Granville (August 20, 1923 – September 7, 2013), often called Joe Granville, was a financial writer [1] and investment seminar speaker. He is most famous for inventing [2] and developing the concept of "On-balance volume (OBV)".
In finance, volume-weighted average price (VWAP) is the ratio of the value of a security or financial asset traded to the total volume of transactions during a trading session. It is a measure of the average trading price for the period. [1]