Artificial Intelligence Predictive Charts Series I

A 2013 Nobel Laureate, Professor Shiller of Yale University has accurately predicted the 2000 Internet bubble burst and the 2008 stock market crash related to sub-prime mortgages. Could an investor acquire the ability of Professor Shiller to accurately trendspot long-term asset prices? PNN (predictive neural networks) is designed to help investors do this like Professor Shiller, without sophisticated training in quantitative finance. Using artificial intelligence and sentiment algorithms, a PNN predictive chart forecasts long-term asset price movements. It comes with real-time back-testing accuracy percentage (normally about 90%) to show its confidence in the model predictions, which is based on testing the PNN artificial intelligence and sentiment algorithms against historical price data. This book contains PNN predictive charts for such securities as $SPY, $GLD, $FXCM, $USO, $SCO, $CVX, $MU, $AAPL, $GOOG, $FB.