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Deep learning for stock market prediction from financial news articles

Beatriz Souza Leite Pires de Lima · Alexandre G. Evsukoff

238 citations0/0 files storedIEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)

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Stock Market Forecasting Methods Financial Markets and Investment Strategies Hydrological Forecasting Using AI

Abstract

This work uses deep learning methods for intraday directional movements prediction of Standard & Poor's 500 index using financial news titles and a set of technical indicators as input. Deep learning methods can detect and analyze complex patterns and interactions in the data automatically allowing speed up the trading process. This paper focus on architectures such as Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN), which have had good results in traditional NLP tasks. Results has shown that CNN can be better than RNN on catching semantic from texts and RNN is better on catching the context information and modeling complex temporal characteristics for stock market forecasting. The proposed method shows some improvement when compared with similar previous studies.

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References

2011Twitter mood predicts the stock market 1973A Random Walk Down Wall Street 2010A novel hybridization of artificial neural networks and ARIMA models for time series forecasting 2009Textual analysis of stock market prediction using breaking financial news 2015Deep learning for event-driven stock prediction 2014Text mining for market prediction: A systematic review 2016Computational Intelligence and Financial Markets: A Survey and Future Directions 2011Stock index forecasting based on a hybrid model

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2021A systematic review of stock market prediction using machine learning and statistical techniques 2020Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review 2023Machine learning approaches in stock market prediction: A systematic literature review 2020Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models 2022RETRACTED ARTICLE: An optimal deep learning-based LSTM for stock price prediction using twitter sentiment analysis

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