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Stock Price Prediction Using Attention-based Multi-Input LSTM · Study

WorkStock Price Prediction Using Attention-based Multi-Input LSTM

Hao Li2018

Work2018

Stock Price Prediction Using Attention-based Multi-Input LSTM

Hao Li · Yanyan Shen · Yanmin Zhu

116 citations·0/0 files stored·Asian Conference on Machine Learning

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Stock Market Forecasting Methods Financial Markets and Investment Strategies Time Series Analysis and Forecasting

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References

2017A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies 2015Deep learning for event-driven stock prediction 2014Recurrent neural network and a hybrid model for prediction of stock returns 2017Stock Price Prediction via Discovering Multi-Frequency Trading Patterns 2017A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction 2010Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches 2016Stock prediction using deep learning

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Year2018

Typeother

Published2018-11-04

VenueAsian Conference on Machine Learning

Languageen

Citations116

Files0 public / 0

ShelfStock Market Forecasting Methods

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openalex_workW2915043312

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