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ArticlePrediction model for stock price trend based on recurrent neural network

Jinghua Zhao2020

Article2020

Prediction model for stock price trend based on recurrent neural network

Jinghua Zhao · Dalin Zeng · Shuang Liang · Huilin Kang · Qinming Liu

142 citations·0/0 files stored·Journal of Ambient Intelligence and Humanized Computing

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

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References

2017Stock market's price movement prediction with LSTM neural networks 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index 2015A LSTM-based method for stock returns prediction: A case study of China stock market 1988Economic prediction using neural networks: the case of IBM daily stock returns 1990Stock market prediction system with modular neural networks 2006A TSK type fuzzy rule based system for stock price prediction 2002Support Vector Machine Regression for Volatile Stock Market Prediction

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2021Constructing a stock-price forecast CNN model with gold and crude oil indicators 2021Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda 2021Stock Price Forecast Based on CNN-BiLSTM-ECA Model 2023Transformer-Gated Recurrent Unit Method for Predicting Stock Price Based on News Sentiments and Technical Indicators 2023VGC-GAN: A multi-graph convolution adversarial network for stock price prediction 2022

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Year2020

Typearticle

Published2020-05-12

VenueJournal of Ambient Intelligence and Humanized Computing

ISSN-L1868-5137

Languageen

Citations142

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1007/s12652-020-02057-0

openalex_workW3025573255

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