Stock Market Forecast and Trading

Addaptron Software is pleased to announce the release of updated 2012.06.01 version of Trading Decision Support System TraDeSS-1. Now Simulation module allows optimizing algorithms and their parameters, as well as, performing comparative analysis for many symbols. At the end of batch mode simulation, it prints a summarized list of best buy-sell algorithms and parameters configuration for each symbol. The list is sorted from best to worst performers.

Now Relative Performance Forecast module allows printing output results in HTML-format that include additional information about prediction. It shows the forecast generated by each selected method, as well as, the weights of forecasts that were assigned in a composite forecast. If more than two methods are used, table includes RMSD (it is normalized root-mean-square deviation that is to estimate the degree of forecasts concurrence; the less amount means better consensus among different methods).

The new version is able to read input historical prices files of three different formats. The software recognizes these formats automatically. To enable reading any other format files, users should send the request.

The two charts below show a possible behavior of S&P-500 index for the next week, May 16-20, 2011. The first chart is neural network forecast, the second one is pattern similarity forecast. Both methods predict a slight uptrend.

The chart shows S&P-500 index forecast for the period starting from February 14, 2011. The calculation has been performed using Stock Market Predictor SMAP-3 (cycles analysis). The prediction is a possible downtrend starting from February 16-17 and then reversal to uptrend at the beginning of March.

The chart shows S&P-500 index possible behavior for February 7 – 11, 2011. The forecast is a fluctuation with a small downtrend. The prediction has been calculated using the pattern recognition feature of Investment Analyzer InvAn-4.

The charts show S&P-500 index possible behavior for January 31 – February 4, 2011. The forecast is a fluctuation with an eventual uptrend. The graphs have been calculated using Neural Network Stock Trend Predictor NNSTP-2 (upper chart) and pattern similarity forecast by Investment Analyzer InvAn-4 (below).

The chart shows S&P-500 index forecast for the period from January 24 to January 28, 2011. The possible ^GSPC behavior is a fluctuation with a slight uptrend. The prediction has been calculated by Neural Network Stock Trend Predictor NNSTP-2.

The chart shows S&P-500 index forecast for the period from January 10 to January 14, 2011. The possible ^GSPC behavior is a sideways fluctuation within 1% without significant advances. The prediction has been calculated using Neural Network Stock Trend Predictor NNSTP-2.

Chart represents S&P-500 index possible behavior for December 6-10, 2010. The forecast is a slight uptrend with a gradual reversing to a downtrend. The prediction has been performed using Investment Analyzer InvAn-4 (pattern similarity forecast).

Charts represent S&P-500 forecast for September 14-18, 2009. The calculations* have been performed using pattern similarity prediction and neural network tools. The tools have predicted U-shape move with total change within +1%.

Charts represent S&P-500 forecast for June 15-19, 2009. The calculations* have been performed using pattern similarity prediction (price and volume) and neural network tool.