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Intraday stock price forecasting based on variational mode decomposition · Study

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ArticleIntraday stock price forecasting based on variational mode decomposition

Salim Lahmiri2015

Article2015

Intraday stock price forecasting based on variational mode decomposition

98 citations·0/0 files stored·Journal of Computational Science

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Stock Market Forecasting Methods Hydrological Forecasting Using AI Time Series Analysis and Forecasting

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References

2011Twitter mood predicts the stock market 2014A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression 2015A combination method for interval forecasting of agricultural commodity futures prices

Cited by

2017Minute-ahead stock price forecasting based on singular spectrum analysis and support vector regression 2017Improving stock index forecasts by using a new weighted fuzzy-trend time series method 2020A complete empirical ensemble mode decomposition and support vector machine-based approach to predict Bitcoin prices 2021Short-term prediction of carbon emissions based on the EEMD-PSOBP model 2016Modeling and predicting historical volatility in exchange rate markets 2019Exploration of stock index change prediction model based on the combination of principal component analysis and artificial neural network 2023A stock series prediction model based on variational mode decomposition and dual-channel attention network 2018Predicting Stock Price Trend Using MACD Optimized by Historical Volatility

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Details

Year2015

Typearticle

Published2015-11-28

VenueJournal of Computational Science

ISSN-L1877-7503

Languageen

Citations98

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.jocs.2015.11.011

openalex_workW2189160292

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