Finding trading patterns in stock market data

被引：29

作者：

Nesbitt, KV ^{[1
]}

Barrass, S ^{[1
]}

机构：

[1] Charles Sturt Univ, Sch Informat Technol, Bathurst, NSW 2795, Australia

来源：

IEEE COMPUTER GRAPHICS AND APPLICATIONS | 2004年 / 24卷 / 05期

关键词：

D O I：

10.1109/MCG.2004.28

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

A multisensory human perceptual tool for the real-world task domain of stock market trading was designed and evaluated. The data mined is bid-and-ask data from the Australian Stock Exchange. Nonexperts were tested on their ability to use the tool to predict the future direction of stock prices. The experiment's null hypothesis was that nonexperts couldn't predict the direction of the stock price using this tool. At the culmination of the experiment, the null hypothesis was proved false, leading to the possibility that useful patterns were detected in the display.

引用

页码：45 / 55

页数：11

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