The system is intended for stock market traders and investors. It consists of 3 modules: TA-1, SMAP-3, and NNSTP-2. It is a comprehensive system with easy-to-use interfaces.

Technical Analyzer TA-1 has technical indicators chart capabilities and determines which indicator should be trusted more for particular market conditions and specific shares using back-testing simulation. It composes the forecast with weights accordingly to predictive ability of each indicator using Neural Network (NN). The pattern similarity module searches for the best matches by scanning all historical data and ranks them on the basis of maximum correlation and minimum deviation within given period using EOD prices and volume data. The composite result is built as a weighted average with weights proportionally similarity. Another module analyzes waves and predicts a future high or low price similar to Elliott Wave theory of recurrent stock market price structures. Instead of assuming that waves obey only the sequence of Fibonacci, harmonic, or fractal ratios, a more general model is used; the software takes into consideration all extracted waves. Due to employing NN it enables identifying both the price and date of extremes. Also TA-1 has a correlation analysis tool to evaluate the future trend using a mutually-correlated pair (or in opposite correlation) with time shift.

Stock Market Analyzer-Predictor SMAP-3 is designed to analyze the stock market (indexes, ETFs, or well-traded shares), reveal cycles, build forecast, and find optimal timing to buy and sell. Additional analysis includes such cycles as, month of year, day of month, and day of week. It can be used for intraday trading. NNSTP-2 predicts future indexes, ETFs, or share prices (or percentage) using Fuzzy Neural Network (FNN). It operates automatically when creating the FNN, training it, and mapping to classify a new input vector. Input data are daily weighted or closing prices of the stock and the volume traded.

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