Addaptron Software is pleased to announce the release of a new 2013.05 version of Stock Market Forecast Tools SMFT-1. It is an integrated system that includes three major programs: the most popular software program SMAP-3 for stock market cycles analysis and forecast, NNSTP – Neural Network Stock Trend Predictor, and FTA-2 – a modified version … [Read more…]
After years of intensive development Addaptron Software has released Trading Decision Support System TraDeSS-1, advanced computer program for institutional traders and investors. It is a comprehensive and effective software to help finding the best trading opportunities, maximizing profitability using several predictive models with back-testing features, and optimizing algorithms by running simulations. TraDeSS-1 is equipped with … [Read more…]
Candlestick patterns can signal a trend continuation or reversal. Many traders and investors know how to benefit from candlesticks analysis. As a rule, a simple chart analysis is used that requires analysts to remember and correctly interpret, at least, typical candlestick patterns. However, the number of possible different candlestick shapes and their combinations in a … [Read more…]
Parabolic SAR (SAR stands for Stop-And-Reverse) is a trend-following indicator that has been used by many traders for decades. Its major application is in trading systems to define a trailing stop, i.e., to protect profit when a price trend changes. The term “parabolic” appeared to characterize the indicator parabola shape that is due to using … [Read more…]
Technical analysts use many different indicators. Not all indicators are equally good. Some of them have better predictive abilities than others at given conditions. Statistical results of the research for stocks and indexes during the last several months have showed the way to improve some regular indicators. In short, if an indicator is trend-differentially coupled … [Read more…]
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.
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 two charts below show a possible behavior of S&P-500 index for the next week, April 25 – 29, 2011. The first chart is pattern similarity forecast, the second chart is neural network forecast. Both methods predict some continuing slight uptrend but with eventual reversal to a downtrend.
The two charts below show a possible behavior of S&P-500 index for the next week, April 18 – 22, 2011. The first chart is neural network forecast, the second chart is pattern similarity forecast. Both methods predict sideways fluctuations with an overall slight uptrend.