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Universal portfolio algorithm

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The Universal portfolio algorithm is a portfolio selection algorithm from the field of machine learning and information theory. The algorithm learns adaptively from historical data and maximizes the log-optimal growth rate in the long run. It was firstly introduced by Thomas Cover[1].

References

  1. ^ Cover, Thomas M. (1991). "Universal Portfolios". Mathematical Finance. 1 (1): 1–29.
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