Research Stock Expert System Based On Technical Indicators

Along with the stock market in my country unremittingly expanding, the technic index trading system application to stock market is more and more popular. The technic index high error rate problem the wide stock market investors face is an important problem. Despite having currently adopted various kinds of technic index signals filtering technic, improving technic and even self created technic, we have not yet well solved the technic index high error rate problem. For this purpose, analyzing the affecting factors(error rate and corresponding profit and loss ratio) on stock market safe investment ratio, drawing expect judgment knowledge of turning point in some more mature sock markets and filtering, improving and selfæ¢'reated technic of technic index and basing upon the analysis of intact historic data of both Shenzherr and Shanghai markets, this paper probes deeply into the advantages of ten and several conventional technic index, and investigates the occurring mechanism of the error. I find out the two important stages of occurring high error rate, long term hunt梡eak quotation and lowering stages. Adopting the unique stock status graph, compiling expert rules and applying C++ to construct stock expert system, we are to lock the invalid technic index signal at long term blunt梡eak quotation status and to augment index periodic parameter rejection the technic signal occurring loss and verify their feasibility. All these are realistically significant to strong then stock market investment management.