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Financial trading systems: Neural and genetic algorithms

Posted on:2004-05-29Degree:M.ScType:Thesis
University:McGill University (Canada)Candidate:Likhatchev, AnatolyFull Text:PDF
GTID:2468390011977498Subject:Computer Science
Abstract/Summary:
In today's financial markets, when new information is disseminated with lightning speed across the investment community, individual investors turn to trading systems as a way to generate profit. Based primarily on Technical Analysis, a trading system can take advantage of a plethora of advanced modeling tools available today ranging from chart pattern recognition to genetic optimization of technical indicators and trading rules. This paper offers a systematic approach to financial system development involving neural networks and genetic algorithms. A trading system that forecasts S&P500 index is developed and analyzed.
Keywords/Search Tags:Financial, Trading, Genetic, System
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