Where did you first hear about Neural Networks? The first time I heard about a Neural Net, believe it or not, it had nothing to do with computer software or using it to trade any market... it was in the MOVIES!
In 1984, James Cameron, the director of "Avatar", made a movie called "The Terminator"...it was Arnold Schwarzenegger's breakthrough role. They didn't explain too much about the terminator though, because at that point, computers were still young and they had no idea how to actually conceive of something that sophisticated.
It wasn't until the sequel came out in 1991 that the terminator in that movie revealed that his "CPU" was a Neural Net..."A learning computer".
Strangely enough, the terminator actually came back from the future somewhere around 2011 to 2020... which is pretty spot on it terms of where Neural Nets would start to blossom.
It's quite amazing to see how science fiction often sets a timeline for REAL science to catch up with. It's pretty much the same thing with Moore's law - it's a self fulfilling prophecy because knowing the future often creates that paradoxical loop that sets it in motion in the first place.
By the way Moore's law states that the number of transistors that can be inexpensively placed on an integrated circuit will double every two years. That's how computers keep getting faster and faster!
So... getting back to the present, it shouldn't come as a surprise that the sharpest minds in the business have realized the applications of the Neural Networks for analyzing and speculating in the financial markets. You could say it was inevitable...
A computer that can learn, think and can spot myriad similarities in charts (past and present) would obviously be the ultimate trading mind. Not surprising then that Forex trading software like Leo Trader Pro has come around.
You can actually log into their account with an investor password which is provided on their website and check it out for yourself.
Check it out at Leo Trader Pro. It was good enough for James Cameron and the Governator!
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