Addaptron Software Updates Stock Market Analyzer-Predictor
Due to a new Analyzer-Predictor update, the stock market cycles can be even a better opportunity to maximize return on investments for investors who empowered by SMAP-2.
A small Canadian company, Addaptron Software, the developer of decision support software tools for stock investors and traders, released a new updated version of Stock Market Analyzer-Predictor, SMAP-2. This update enabled additional flexibility to optimize fitting process of the cycles. Initially, SMAP-2 was developed a few years ago as a stock market analyzing-predicting computer tool to help predicting stock prices for different terms.
The stock market has powerful and consistent cycles. They can be as a bad surprise for some investors but others know how to take advantage of the market cycles. By identifying the cycles it is possible to anticipate tops and bottoms and to determine trends. The stock market cycles can be a good opportunity to maximize return on investments. “The stock market cycles known by investors for long,” says Alex Shmatov, president and founder of Addaptron Software. “The stock market is an alive system – around can be joy or fear but its pulse always exists. And many investors benefit from a fluctuating nature of the market.”
The presence of multiple cycles of different periods and magnitudes in conjunction with linear trends, can form a complex pattern of the stock market performance curve. Often cycles mask themselves – sometimes they overlap to form an abnormal extremum or offset to form a flat period. It is clear that a simple chart analysis has a certain limit in identifying cycles parameters and using them for predicting. SMAP-2 is able to extract basic cycles of the stock market (indexes, sectors, or well-traded shares). To build an extrapolation, SMAP-2 uses the following two-step approach: (1) applying spectral (time series) analysis to decompose the curve into basic functions, (2) composing these functions beyond the historical data. SMAP-2 also enables finding optimal timing to buy/sell by analyzing month of year, day of month, and day of week (the calculation is based on statistical analysis). The investors who empowered by using SMAP-2 are less likely to get fooled into buying at the worst time. SMAP-2 is one the most popular among investors software tools.
Addaptron Software develops and provides advanced data processing software tools to businesses and individuals who choose to improve efficiency of their decision-making. The company specialized in developing software that enables comprehensive data processing to extract meaningful and useful information in areas of investment, management, and marketing. One of the main approaches is to reflect precisely system’s quality using mathematical modeling. Currently, the company provides software tools to investors to help them more effectively manage their investments.
Addaptron Software Releases Neural Network Stock Predictor
Addaptron Software released a new upgraded version of NNSTP-2. It is a tool for stock market investors and traders to predict stock price within 1-60 days and help to find the best timing to buy and sell stocks.
Neural networks can discover patterns in data and successfully predict the future trend. A small Canadian company, Addaptron Software – the developer of decision support tools for stock investors and traders – has developed NNSTP-2, neural network computer tool, to help stock traders in predicting stock prices for short terms. NNSTP-2 predicts future share prices using Fuzzy Neural Network (FNN). It operates automatically when creating the FNN, training it, and mapping to classify a new input vector. The input data transformed to characteristic matrices before training FNN. The forecasting is based on automatic scan of different inputs periods (historical price and volume data) to define accuracy of each one by back testing. Then the final forecast is built on weighted averaging of all forecasts. Each weight is proportional to the accuracy of a certain input period forecast.
“No one and no tool are able to predict surely what will happen tomorrow and how it will drive the market,” says Alex Shmatov, president and founder of Addaptron Software. “However, all investors use past data to make most investment decisions in the future. And this is a key in predicting – today investors make their decisions based on historical stocks’ supply-demand balance but their decisions drive the market tomorrow. So that besides, unknown unexpected factors in the future, we have a past-future correlation. Since the events from the past influence the future ones through investors semi-stochastically, the best tool to decode the correlation is an artificial neural network.”
Using such software helps investors and traders to predict the stock market and to find an optimal timing to buy and sell stocks. In general, any good software may provide additional input to minimize the risks involved in stock investments. Evidently, the more information is taken into consideration, the more precise an investment-related solution and, consequently, the more profitable is investing. Therefore, it is wise to analyze data and draw the conclusions using multiple sources.
Addaptron Software develops and provides advanced data processing software tools to businesses and individuals who choose to improve efficiency of their decision-making. The company specialized in developing software that enables comprehensive data processing to extract meaningful and useful information in areas of investment, management, and marketing. One of the main approaches is to reflect precisely system’s quality using mathematical modeling. Currently, the company provides software tools to investors to help them more effectively manage their investments.
Addaptron Software August 2008 Release
Addaptron Software released a new 2008.08 version of Investment Analyzers.
Vancouver, Canada, August 14, 2008 — A small Canadian company, Addaptron Software, the developer of decision support tools for stock investors, recently released a new 2008.08 version of Investment Analyzers. Now InvAn-4 users can choose one of two models for timing rating – “better price” or on the basis of Fourier analysis forecast. Also InvAn-4 has been empowered by one more option – an automatic one-button processing. It allows performing data diagnostics and most updates and calculations by using a configured scenario and only one click. Both InvAn-3 and InvAn-4 have been enhanced by new Viewer feature – to display Cup-With-Handle pattern filter result and correlation analysis result in a convenient diagram form. All-option version users can update their software for free and without overwriting existing company-stock database.
Using software helps investors and traders to research, analyze, and predict stock market. Software tools help tracking the performance of invested stocks, selecting potential ones, and knowing the timing of buying and selling. Expected performance of a stock depends on quality of the company, market evaluation of its stock, and macroeconomic environment. Also general market conditions and news are significant contributing factors in stocks performance. That is why, a good investing decision should be based on a multi-dimensional consideration of many criteria. Consequently, one of the optimal solutions is to use fundamental, technical, and timing analyses together. “A modern stock market is different than it was ten-twenty years ago, when a strategy buy-and-hold was good enough. Now it is much harder to have a decent investment return; and winning in the stock market is based mostly on right information and right tools,” says Alex Shmatov, president and founder of Addaptron Software.
Addaptron develops and provides advanced data processing software tools to businesses and individuals who choose to improve efficiency of their decision-making. The company specialized in developing software that enables comprehensive data processing to extract meaningful and useful information in areas of investment, management, and marketing. One of the main approaches is to reflect precisely system’s quality using mathematical modeling. Currently, the company provides software tools to investors to help them more effectively manage their investments. Such tools as Investment Analyzers have been designed to pick the best stocks, maximize performance, and manage portfolios; prediction based on fundamental, technical, and timing analyses rating.