genetic stock
6.It follows a brief discussion on the nature of the methodology of computational intelligence and their application perspectives for data mining. An experimental system for discovering the trend of market price changing and the prediction model from the stock exchange data records are proposed, in which, the training parameters of a neural network are optimized and defined by running the genetic algorithm along with the training procedure of the neural network. The ideas of design and the techniques of implementation are described in detail in this paper.
7.Based on the review of the evolutions of stock indices and the innovations of index products, this article discussed the different methods of index replication, and then sum med up those researches on different methods, arithmetic models and their implications, including quadric programming, lineal programming, robust regression, Monte Carlo simulation and genetic algorithm, etc. aiming to give a technical reference for index derivatives design, index arbitrage, and indexing investment.
