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Artificial Intelligence and  HF Data Predict Against the OddsArtificial Intelligence and HF Data Predict Against the Odds While much attention is placed on Big Data, High Frequency Data is overlooked, a novel hybrid of short term High Frequency Data and multiple Artificial Intelligence models, is able to predict the "moving targets"  volatile short term systems, typical example is correct prediction of a soccer match draw results.    Big Data or statistical models overlook short term volatility, these methodologies generate confusing, multiple choice predictions instead of a single and decisive prediction. Successful High Frequency systems are already in use for automated Algo-Trading in financial markets, these novel HF / A.I. predictive systems, are mostly secretive, privately developed by financial institutions for in-house proprietary trading, these systems are "under the radar", these clever systems able to predict short term volatile systems are largely overlooked.   The only system driven by Artificial Intelligence and High Frequency Data that generates accurate predictions against the statistical odds is the Football Predictor www.gymex.com. Predictions generated by hybrid systems of High Frequency Data and Multiple Artificial Intelligence models, are correct against the statistical odds, where "Big Data" and statistical models are not usable for dealing with volatile "moving targets". A novel and disruptive hybrid of High Frequency Data and multiple Artificial Intelligence models used in gymex.com is the only system known to be able to predict the volatile "moving targets" results of soccer, especially correct predictions of a draw result.  Example that demonstrate correct draw predictions is the novel, one of a kind Artificial Intelligence / High Frequency data driven Football Predictor (www.gymex.com), this system has correctly predicted 4 draw results against the statistical odds (France League 1),  5 draw predictions against the odds (Spain La Liga), 2 draw predictions against the odds (Holland Eredivise)