Today Ernie Chan, who has previously been unenthused by using machine learning algorithms in trading strategies, reports on a new study by UC Berkeley that affirms the ability of support vector machines to predict markets in a statistically significant fashion using technical indicators.
http://epchan.blogspot.com/2010/10/data-mining-and-artificial-intelligence.html
As it happens, I have long been a huge SVM advocate, and believe that due to the intuitions underlying their design they are clearly the superior nonlinear regression tool, and should find a wide variety of commercial usages. Finatica provides an environment in which you can use SVMs, among a wide variety of other tools, to develop, backtest and deploy trading strategies. If you want to harness the power of SVMs quickly without a whole bunch of hassle, Finatica is the perfect choice for you. And, a free version is available!
Make sure to enter the code "JVDBLOG" for 50% off the registered version of Finatica.
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