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A formal approach to candlestick pattern classification in financial time series · Study

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ArticleA formal approach to candlestick pattern classification in financial time series

Weilong Hu2019

Article2019

A formal approach to candlestick pattern classification in financial time series

Weilong Hu · Yain‐Whar Si · Simon James Fong · Raymond Y.K. Lau

31 citations·0/0 files stored·Applied Soft Computing

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Stock Market Forecasting Methods Data Mining Algorithms and Applications Time Series Analysis and Forecasting

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References

1990Fuzzy Sets, Uncertainty, and Information 1994Trading on the Edge: Neural, Genetic, and Fuzzy Systems for Chaotic Financial Markets 1990Stock price pattern recognition-a recurrent neural network approach 2006Pattern discovery of fuzzy time series for financial prediction 1999Expert system for predicting stock market timing using a candlestick chart 1991Japanese candlestick charting techniques 2011Intelligent stock trading system based on improved technical analysis and Echo State Network 2012Profitable candlestick trading strategies—The evidence from a new perspective

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2023Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications 2024Stock price crash prediction based on multimodal data machine learning models

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Year2019

Typearticle

Published2019-08-19

VenueApplied Soft Computing

ISSN-L1568-4946

Languageen

Citations31

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.asoc.2019.105700

openalex_workW2969608920

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