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Statistical arbitrage is a class of financial trading strategies using meanreversion models. The corresponding techniques rely on a number of assumptionswhich may not hold for general non-stationary stochastic processes. This paperpresents an alternative technique for statistical arbitrage based on onlinelearning which does not require such assumptions and which benefits from stronglearning guarantees.

Online Learning Algorithms for Statistical Arbitrage