Date of this Version
August 2006
Document Type
Conference Paper
Abstract
One of the greatest difficulties facing a stock trader or investment manager is the stock selection process. In this process, the investor is faced with a large number of competing investments, and a fixed amount of capital. The goal is to spread the available capital across a reduced subset of the competing investments, with the aim of increasing the return. Typically, the investor relies on one of two main frameworks to guide the selection process, namely Fundamental Analysis, and Technical Analysis. This paper focuses on Technical Analysis, and implements a neural network which supports the stock selection process.
COinS
This document has been peer reviewed.
Publication Details
Vanstone B. & Finnie G. (2006) Combining Technical Analysis and Neural Networks in the Australian Stockmarket. IN: Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Soft Computing (ASC2006), Palma de Mallorca, 28-30th August 2006.
Copyright Acta Press 2006. All rights reserved. Permission granted.
The conference proceedings and journals generated by IASTED (International Association of Science and Technology for Development) are all published ACTA Press
2006 HERDC submission