Making Profit in Stock Investment Before XD Dates by Using Genetic Algorithm

2013 ◽  
pp. 351-360 ◽  
Author(s):  
Tatcha Sudtasan ◽  
Komsan Suriya
Keyword(s):  
Genetic Algorithm ◽  
Stock Investment

A novel methodology for stock investment using high utility episode mining and genetic algorithm

2017 ◽  
Vol 59 ◽  
pp. 303-315 ◽  
Author(s):  
Yu-Feng Lin ◽  
Chien-Feng Huang ◽  
Vincent S. Tseng
Keyword(s):  
Genetic Algorithm ◽  
Episode Mining ◽  
Stock Investment ◽  
High Utility

Research on Predicted Model of Least Squares Support Vector Machine Based on Genetic Algorithm

2013 ◽  
Vol 753-755 ◽  
pp. 2875-2881 ◽  
Author(s):  
Huai Lin Dong ◽  
Juan Juan Huang ◽  
Zhu Hua Cai ◽  
Qing Feng Wu
Keyword(s):  
Genetic Algorithm ◽  
Support Vector Machine ◽  
Least Squares ◽  
Support Vector ◽  
Classification Rate ◽  
Financial Investment ◽  
Stock Investment ◽  
Increasing Trend ◽  
Predicted Model ◽  
Stock Indexes

There is huge amount of data with complex uncertainty in the stock market. Meanwhile, efficient stock prediction is important in financial investment. This paper puts forward a classified and predicted model based on least squares support vector machine (LS-SVM) in the background of stock investment. This model preprocesses the input vector of stock indexes using the method of Wilcoxon symbols test and factor analysis, and determines the parameter of LS-SVM based on the genetic algorithm, after that classifies the stocks based on growth rate, then is trained using the stock sample. At last this paper verifies the model with the samples. It also presents a demo to predict the increasing trend of the stock. The result shows that this model owns favorable predicted ability with high correct classification rate.

An Optimization Model Based on Principal Component Theory and Genetic Algorithm

2015 ◽  
Vol 742 ◽  
pp. 384-389
Author(s):  
Xiao Fei Huang
Keyword(s):  
Genetic Algorithm ◽  
Factor Analysis ◽  
Optimization Model ◽  
Principal Component ◽  
Mathematical Function ◽  
Principal Component Factor Analysis ◽  
Function Model ◽  
Component Factor ◽  
Stock Investment ◽  
Component Theory

Stock investment is risky and beyond fixed rules to forecast precisely. In order to realize proper stocks selection from specified mathematical function model, principal component factor analysis is proposed to rebuild various stocks via its contribution rates so as to extract the principal component factors from the elimination of weak ones. According to the synthesis scoring and ranking, optimized stocks has been selected as valuable targets. Test from Genetic Algorithm to the ranking aforementioned indicates that the rationality and validity of the results.

Antecedents of voluntary company stock investment: Who invests and why?

2007 ◽  
Author(s):  
Liang Zhu ◽  
Benjamin B. Dunford ◽  
Deidra J. Schleicher
Keyword(s):  
Company Stock ◽  
Stock Investment

The ground state energy of the ±J spin glass from the genetic algorithm

1994 ◽  
Vol 4 (9) ◽  
pp. 1281-1285 ◽  
Author(s):  
P. Sutton ◽  
D. L. Hunter ◽  
N. Jan
Keyword(s):  
Genetic Algorithm ◽  
Spin Glass ◽  
Ground State Energy ◽  
Ground State ◽  
State Energy
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