GStock is a distributed computing project formed in 2006 for stock market analysis. It is enabled by users that volunteer to download and run a software client and donate some idle capacity of their computer processing unit (CPU). The gathered computing power is used to search for an investment strategy that historically worked best for each individual stock. GStock scans over 1 billion investments strategies on over 4,000 US publicly traded stocks. Image File history File links Please see the file description page for further information. ... Look up private in Wiktionary, the free dictionary. ... For the Manfred Mann album, see 2006 (album). ... Finance studies and addresses the ways in which individuals, businesses, and organizations raise, allocate, and use monetary resources over time, taking into account the risks entailed in their projects. ... A website (or Web site) is a collection of web pages, images, videos and other digital assets and hosted on a particular domain or subdomain on the World Wide Web. ... Distributed computing is a method of computer processing in which different parts of a program run simultaneously on two or more computers that are communicating with each other over a network. ...
GStock applies Technical Analysis models in its calculations. The investment strategies found to work best for each stock produce periodic BUY and SELL trading signals. These signals are publicly available on the GStock.com website along with past statistics and charts with the BUY and SELL signals plotted on them for visual comparison by users. Technical analysis, also known as charting, is the study of the trading history (the price and volume over time) of any type of security (stocks, commodities, etc. ...
Distributed computing is a method of computer processing in which different parts of a program run simultaneously on two or more computers that are communicating with each other over a network. ... A list of distributed computing projects. ... Parallel computing is the simultaneous execution of the same task (split up and specially adapted) on multiple processors in order to obtain results faster. ... Grid computing is an emerging computing model that provides the ability to perform higher throughput computing by taking advantage of many networked computers to model a virtual computer architecture that is able to distribute process execution across a parallel infrastructure. ...
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