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Medical Decision Support System Using Pattern Recognition Methods for Assessment of Dermatoglyphic Indices and Diagnosis of Down’s Syndrome Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Day Trading the Emerging Markets Using Multi-Time Frame Technical Indicators and Artificial Neural Networks

Author : Alexandru Stan

Published in: Advanced Intelligent Computational Technologies and Decision Support Systems

Publisher: Springer International Publishing

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Abstract

This chapter addresses the topic of automated day trading systems based on artificial neural networks and multi-timeframe technical indicators, a very common market analysis technique. After we introduce the context of this study and give a short overview of day trading, we set out our approach and methodological framework. Then, we present the results obtained through these procedures on several of the most liquid stocks in the Romanian stock market. The final section of the chapter concludes the study and brings some insight about possible future work in the area.

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Metadata
Title
Day Trading the Emerging Markets Using Multi-Time Frame Technical Indicators and Artificial Neural Networks
Author
Alexandru Stan
Copyright Year
2014
Book
Advanced Intelligent Computational Technologies and Decision Support Systems

Print ISBN: 978-3-319-00466-2

Electronic ISBN: 978-3-319-00467-9

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-00467-9_16

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