Posts Tagged ‘machine learning’

Predicting trading system out-of-sample success using chaos properties of financial time series

During the past year I have been focused on predicting out-of-sample trading system returns. This is because while creating trading systems with historically good performance is trivial – just a brute-forcing problem at its core – the creation of systems that can succeed under new and unknown market conditions is a much harder problem. Since […]

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