Increments of Uncorrelated Time Series Can Be Predicted With a Universal   75% Probability of Success
  We present a simple and general result that the sign of the variations or increments of uncorrelated times series are predictable with a remarkably high success probability of 75% for symmetric sign distributions. The origin of this paradoxical result is explained in details. We also present some tests on synthetic, financial and global temperature time series. 
D. Sornette (UCLA and CNRS-University of Nice) and J.V. Andersen   (University of Nice)