How does artificial intelligence PNN machine think of the future of securities?: Predictive Charts for $SPY, $GLD, $FXCM, $USO, $SCO, $CVX, $MU, $AAPL, $GOOG, $FB (PNN Charts Book 1)

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.