Neural Networks Learn Forex Trading Strategies

Unfortunately, this strength can also be a weakness in the use of neural networks for trading predictions. Ultimately, the output is only as good as the input. They are very good at correlating data even when you feed them enormous amounts of it. They are very good at extracting patterns from widely disparate types of information — even when no pattern or relationship exists. Its other major strength — the ability to apply intelligence without emotion — after all, a computer doesn't have an ego — can also become a weakness when dealing with a volatile market. When an unknown factor is introduced, the artificial neural network has no way of assigning an emotional weight to that factor.

There are currently dozens of Forex trading platforms on the market that incorporate neural network theory and technology to 'teach' the network your system and let it make predictions and generate buy/sell orders based on it. The important thing to keep in mind is that the most basic rule of Forex trading applies when you set out to build your neural network — educate yourself and know what you're doing. Whether you're dealing with technical analysis, fundamentals, neural networks or your own emotions, the single most important thing you can do to ensure your success in Forex trading is to learn all you can.



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