Addaptron Software released a new Stock Market Forecast Tools SMFT-2. It is an integrated advanced system that is the next generation improved software based on older SMFT-1 version and a few recent development projects. Most prediction modules provided with back-test calculation to estimate the accuracy of forecast within the recent performance periods. Additionally, the back-testing … [Read more…]
Any prediction can fail but if it is combined with well-tested buy-sell rules, the result is much better. Addaptron Software provides predictions of major ETFs prices (Open, High, Low, Close) for the next day. This article describes one of the simplest algorithms to use one-day candle prediction data. The algorithm consists of four simple rules: … [Read more…]
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 … [Read more…]
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).