The purpose of this research was to compare two statistical methods: one that based on Cycle Analysis, another – on a simple Neural Network. Price and volume data were used to train this particular Neural Network. These statistical forecasts were built using historical data of S&P-500 index for six months (from June 2009 to January … [Read more…]
The chart shows S&P-500 index forecast for the period from May 31 to June 3, 2011. The possible ^GSPC behavior is an uptrend. The prediction has been calculated using Neural Network Stock Trend Predictor NNSTP-2.