Data mining techniques to analyze the risks in stocks/options investment

Data mining is one of the most optimal methods to analyze the data. Nowadays most of the people will be reluctant to invest money in shares and options because of the global economic crisis. In this research paper, a proposal is made in order to analyze the stocks/sectors and options based on various financial parameters using data mining techniques. The neuro-fuzzy logic technique is proposed to use in this proposal, to develop this work and the mining technique is applied to classify the result obtained.