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Market Share is the breakup of market size in percentage terms, to help identify the top players, the middle and the "minnows" of the marketplace, based on the volume of business conducted; Market Segmentation Some of the factors that determine the market are price, quality, speed of service, ease of maintenance, and points of distribution.
Control over the potential interference with crawled websites; Web scraped data refers to data harvested from public websites. With 4 billion webpages and 1.2 million terabytes of data on the internet, there is a mountain of information that can be valuable to investors when analyzing a corporate performance.
Mondrian – data analysis tool using interactive statistical graphics with a link to R; Neurophysiological Biomarker Toolbox – Matlab toolbox for data-mining of neurophysiological biomarkers; OpenBUGS; OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and ...
In finance, MIDAS (an acronym for Market Interpretation/Data Analysis System) is an approach to technical analysis initiated in 1995 by the physicist and technical analyst Paul Levine, PhD, [1] and subsequently developed by Andrew Coles, PhD, and David Hawkins in a series of articles [2] and the book MIDAS Technical Analysis: A VWAP Approach to Trading and Investing in Today's Markets. [3]
Until the mid-1960s, tape reading was a popular form of technical analysis. It consisted of reading market information such as price, volume, order size, and so on from a paper strip which ran through a machine called a stock ticker. Market data was sent to brokerage houses and to the homes and offices of the most active speculators.
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It is currently the fourth most-traded currency in the foreign exchange market and is the world's fourth-largest reserve currency (after the United States dollar, euro, and yen). [202] London is the world capital for foreign exchange trading, with a global market share of 38.1% in 2022 [203] of the daily $7.5 trillion global turnover. [204]
Tulip is an information visualization framework dedicated to the analysis and visualization of relational data. Tulip aims to provide the developer with a complete library, supporting the design of interactive information visualization applications for relational data that can be tailored to the problems being addressed.