Online portfolio selection (OPS) [1] [2] is an algorithm-based [3] trading strategy that seeks to optimise investment returns. It was first implemented in 2012 by Bin Li and Bin Hoi at Wuhan University. [4] [5] [6] OPS is contrasted with more traditional approaches to portfolio optimization: [7] [8] while mean-variance optimization seeks to balance risk and return, OPS specifically aims to maximize cumulative wealth, drawing on the Kelly approach [9] to maximizing long-term expected value. Here, OPS sequentially allocates capital among a group of assets, employing, as appropriate, one of several portfolio selection strategies:
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