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Predicting short-term stock prices using ensemble methods and online data sources · Study

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ArticlePredicting short-term stock prices using ensemble methods and online data sources

Bin Weng2018

Article2018

Predicting short-term stock prices using ensemble methods and online data sources

Bin Weng · Lin Lü · Xing Wang · Fadel M. Megahed · Waldyn G. Martinez

278 citations·0/0 files stored·Expert Systems with Applications

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Stock Market Forecasting Methods Financial Markets and Investment Strategies Forecasting Techniques and Applications

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References

1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting 1965The Behavior of Stock-Market Prices 2011Twitter mood predicts the stock market 2007Giving Content to Investor Sentiment: The Role of Media in the Stock Market 1969The Adjustment of Stock Prices to New Information 2003The Adjustment of Stock Prices to New Information 1995A desicion-theoretic generalization of on-line learning and an application to boosting 2003The Efficient Market Hypothesis and Its Critics

Cited by

2023Survey of feature selection and extraction techniques for stock market prediction 2020Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting 2019Portfolio formation with preselection using deep learning from long-term financial data 2020Stock Market Forecasting Using Computational Intelligence: A Survey 2021Machine learning in finance: A topic modeling approach 2021

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Year2018

Typearticle

Published2018-06-15

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations278

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.eswa.2018.06.016

openalex_workW2808626748

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