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| Using Grid Computing To Pick Stocks |
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posted by Editor
on Monday October 02, @06:49PM
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Anonymous Coward writes "I have read a news piece on gstock.com the recent grid computing project analyzing stock behavior. I have seen many grid computing projects, I even contributed my CPU to some of them but this is the first time I see grid computing being used for something so "practical" as increasing profits from stock trading. When I leave work at night and see the big empty office buildings I always wonder how much of humanity problems could have been solved if all those idle desktops were put into use. We could have been cancer free, rich with friends in galaxies far far away." GStock harnesses thousands of volunteered computers into a virtual supercomputer that generates daily Buy and Sell recommendations. Its developers claim 70% accuracy based on performance to date.
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Using Grid Computing To Pick Stocks
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The Fine Print:
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by
Anonymous Coward
on Friday October 06, @11:52AM (#39)
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When people talk about these distributed computing projects using home PCs, they often talk about the 'excess capacity' these 'idle' machines represent, as if to use them would incur no cost.
Quite the contrary. If we were to max out the processors on all of these idle machines, the energy costs would be extraordinary. And as we are all becoming increasingly aware, there is much more to the cost of energy than just the economic cost. Sure, it's cheaper (economically) to just use a bunch of unused home PCs, but it's far cheaper (environmentally) to build and share a supercomputer for this kind of work.
Home PCs are far from efficient. Please keep that in mind.
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by
Anonymous Coward
on Sunday October 08, @06:24AM (#40)
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interesting. I wonder what it's analyzing. The general technical triggers for buy/sell aren't really that computer intensive.
Also, I'm curious what they mean by 70% accuracy. If you look at the chart for MSFT, you'll see that it missed on one of the largest rallies that's happened for it in several years. WRT MRVL, again, it misses on the most significant rally. Those were the only two that I checked, so it leads me to believe that this analysis is suited for more predictable stock patterns.
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by
Anonymous Coward
on Friday October 20, @07:02AM (#43)
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For a cool new project in distributed crawling, check out majestic12.co.uk
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I'm not a robot like you. I don't like having disks crammed into me... unless they're Oreos, and then only in the mouth.
-- Fry
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