A self reorganizing neuro-fuzzy machine based financial trading system with genetic algorithm

The financial markets today are moving through unprecedented speeds and times with modern technology. As such, financial traders need to make decisions even faster from the flood of information in order to manage and sustain decent profitability. A great deal of work has been done in order to improv...

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Bibliographic Details
Main Author:	Wei, Ruonan.
Other Authors:	Quek Hiok Chai
Format:	Final Year Project
Language:	English
Published:	2011
Subjects:	DRNTU::Engineering::Computer science and engineering
Online Access:	http://hdl.handle.net/10356/44262
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University
Language:	English

id	sg-ntu-dr.10356-44262
record_format	dspace
spelling	sg-ntu-dr.10356-442622023-03-03T20:24:54Z A self reorganizing neuro-fuzzy machine based financial trading system with genetic algorithm Wei, Ruonan. Quek Hiok Chai School of Computer Engineering DRNTU::Engineering::Computer science and engineering The financial markets today are moving through unprecedented speeds and times with modern technology. As such, financial traders need to make decisions even faster from the flood of information in order to manage and sustain decent profitability. A great deal of work has been done in order to improve forecasts of financial markets while reducing the risk for investment. Bachelor of Engineering (Computer Engineering) 2011-05-31T07:32:58Z 2011-05-31T07:32:58Z 2011 2011 Final Year Project (FYP) http://hdl.handle.net/10356/44262 en Nanyang Technological University 103 p. application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	DRNTU::Engineering::Computer science and engineering
spellingShingle	DRNTU::Engineering::Computer science and engineering Wei, Ruonan. A self reorganizing neuro-fuzzy machine based financial trading system with genetic algorithm
description	The financial markets today are moving through unprecedented speeds and times with modern technology. As such, financial traders need to make decisions even faster from the flood of information in order to manage and sustain decent profitability. A great deal of work has been done in order to improve forecasts of financial markets while reducing the risk for investment.
author2	Quek Hiok Chai
author_facet	Quek Hiok Chai Wei, Ruonan.
format	Final Year Project
author	Wei, Ruonan.
author_sort	Wei, Ruonan.
title	A self reorganizing neuro-fuzzy machine based financial trading system with genetic algorithm
title_short	A self reorganizing neuro-fuzzy machine based financial trading system with genetic algorithm
title_full	A self reorganizing neuro-fuzzy machine based financial trading system with genetic algorithm
title_fullStr	A self reorganizing neuro-fuzzy machine based financial trading system with genetic algorithm
title_full_unstemmed	A self reorganizing neuro-fuzzy machine based financial trading system with genetic algorithm
title_sort	self reorganizing neuro-fuzzy machine based financial trading system with genetic algorithm
publishDate	2011
url	http://hdl.handle.net/10356/44262
_version_	1759853956811456512

A self reorganizing neuro-fuzzy machine based financial trading system with genetic algorithm

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