SMFT-1 is intended for stock market traders and consists of 3 modules TA-1, SMAP-3, and NNSTP-2. Technical Analyzer TA-1 is based on predictive models including technical analysis and pattern recognition. Except technical analysis chart capabilities, the technical analysis module is able to determine 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 technical indicator using Neural Network. The pattern similarity module searches for the best matches by scanning all historical data from the internal database. It matches on the basis of maximum correlation and minimum deviation within given historical period using open, high, low, and close prices and volume data. The composite result is built as a weighted average with weights proportionally pattern degree of similarity. Also it has a correlation analysis tool to perform analysis and evaluate the future trend using a mutually-correlated pair (or in opposite correlation) with time shift.
|License||Free to try|
|File Size||1.86 MB|
|System Requirements||Microsoft .NET Framework 2.0|