GStock.com, a Web 2.0 financial Web site for individual and institutional investors, announced the launch of a virtual supercomputer dedicated to stock picking. By harnessing the computing power of volunteer computers around the world connected over the Internet, GStock achieves an immense multiprocessor virtual supercomputer dedicated to identifying the most profitable investment strategies for each stock.
Web 2.0 based site offers fully interactive and customizable user experience.
“The GStock virtual supercomputer is designed to provide consistent and significant returns for investors,” said Oren Rossen, co-founder of GStock.com. “It tests over a billion strategies for each stock — ultimately identifying the most appropriate strategy to be implemented.”
GStock's stock analyzing supercomputer calculates and scans stocks 24 hours a day for profitable trades with a high degree of certainty.
With over 1 billion strategies tested per stock, GStock is a powerful online investment tool. This tool provides investors with the necessary components for profitable trading at a high degree of certainty. A recent test of GStock's massive computing system over a two-and-a-half-year period yielded an average 5.1 percent return per trade over a 53-day period, with 21,000 of the 30,000 trades yielding profits — a 70 percent success rate.
“Building a virtual supercomputer to test billions of algorithms in search of profitable investment strategies is certainly a tremendous leap forward in personal finance and portfolio management,” said Tal Schwartz of the California Institute of Technology. “Given the great results of GStock, the average individual investor now has a tool to use to increase stock picking success.”