To address the challenges of the modern stock market, Addaptron Software has made improvements to its line of software products. Now a few decision support tools have been included in a single system – Stock Market Forecast Tools SMFT-1. This integrated system allows traders to use several computer programs for affordable monthly subscription fee. New … [Read more…]
Different chart patterns including candlesticks have been known in technical analysis for long. Now many of them considered as typical or classical ones. These patterns can signal a particular bullish or bear trend. Naturally, the signals are not successful all the time but give at least the most probable scenario of price movement. On the … [Read more…]
Evidently, it is impossible to find technical analysis indicators that are always have the best predictive abilities in all cases. According to statistical researches, depending on time-frame, market conditions, industry, type of stock or ETF, and other factors, onetime some indicators might be best but other worst, and vice versa. In general, in terms of … [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 new group Trading Decision Support Systems is intended to be a resource for individual/institutional traders/investors and software developers in stock market area to share ideas, initiate and participate discussions, benefit from the collective intelligence, and to expand network. It will be primarily focused on such topics as: Trading EOD and intraday different asset classes: … [Read more…]
Stock market investors and traders are making their decisions trying to analyze all relevant factors. Indeed, a good decision should be based on a sufficient number of criteria taking into consideration many company’s fundamentals, its stock characteristics, and external factors. During this process the market participants dealing with selecting sufficient volume of data and converting … [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…]
This blog is changing its profile starting from June 2011. Weekly S&P-500 index forecast will be unavailable anymore. The subjects of further blog posts will be focused mostly on stock market technical analysis and EOD trading algorithms issues. Admin
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 chart shows a probable behavior of S&P-500 index for the next week, May 23 – 27, 2011. The forecast has been calculated by pattern recognition system. It predicts some fluctuations with a slight uptrend.