Algorithms that allow computers to evolve behaviors based on empirical data. Approaches include genetic programming, artificial neural networks, decision trees, support vector machines, and cluster analysis.
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How to perform Empirical Mode Decomposition?
I am trying to use the EMD applied to EURUSD open price to train a machine learning algo (RVM).
I have run only once the EMD on my training set and once on the training+test set.
The results on the ...
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334 views
How to better understand trading signals?
I am looking to get a better understanding of an output from a trading strategy. Basically I have a daily equity curve lets call it $Y_t$. I have defined a bunch of independent variables $X_{it}$ that ...
4
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406 views
Algorithms for predicting a couple points in the future
I'm familiar with supervised learning algorithms like regression and neural networks which look at a bunch of input points and learn a function which outputs a value (the value varying depending on ...
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156 views
How to normalize technical indicators for machine learning?
I'm using around 130 technical indicators for 100 different companies. Each company's stock price moves in a different range, see FTSE 100. In addition, each technical indicator moves in a different ...
