  Statistical arbitrage is a class of financial trading strategies using mean
reversion models. The corresponding techniques rely on a number of assumptions
which may not hold for general non-stationary stochastic processes. This paper
presents an alternative technique for statistical arbitrage based on online
learning which does not require such assumptions and which benefits from strong
learning guarantees.
