Financial prediction using neural networks
By: Joseph S. Zirilli.
Publisher: International Thomson Computer Press
Published: 1996
Place of publication: New York
Language: eng
Number of pages: 135
Subjects: Speculation; Neural networks (Computer science); Futures market; Investment analysis
Description: Many research articles have appeared on applying neural network techniques to prediction in the various financial markets, but few publications offer practical guidance for implementing these techniques in the real world. This book provides a step-by-step system for setting up and trading a market using a neural network as the prediction engine. The techniques and methods presented in this book can be applied to any market, anywhere in the world, so this book will appeal to anyone who wants to trade or predict financial markets, specifically institutional traders (futures, commodities, stock, bonds, currencies, etc.), private investors and brokerage houses. It should also be of interest to students of financial market timing and Artificial Intelligence.
Notes: Includes bibliographical references and index.