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New Ordering-Based Pruning Metrics for Ensembles of Classifiers in Imbalanced Datasets Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Prediction of Trend Reversals in Stock Market by Classification of Japanese Candlesticks

Authors : Leszek J. Chmielewski, Maciej Janowicz, Arkadiusz Orłowski

Published in: Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015

Publisher: Springer International Publishing

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Abstract

K-means clustering algorithm has been used to classify patterns of Japanese candlesticks which accompany the approach to trend reversals in the prices of several assets registered in the Warsaw stock exchange (GPW). It has been found that the trend reversals seem to be preceded by specific combinations of candlesticks with notable frequency. Surprisingly, the same patterns appear in both “bullish” and “bearish” trend reversals. The above findings should stimulate further studies on the problem of applicability of the so-called technical analysis in the stock markets.

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Metadata
Title
Prediction of Trend Reversals in Stock Market by Classification of Japanese Candlesticks
Authors
Leszek J. Chmielewski
Maciej Janowicz
Arkadiusz Orłowski
Copyright Year
2016
Book
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015

Print ISBN: 978-3-319-26225-3

Electronic ISBN: 978-3-319-26227-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-26227-7_60

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