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Forecasting Directional Movement of Stock Prices using Deep Learning · Study

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ArticleForecasting Directional Movement of Stock Prices using Deep Learning

Deeksha Chandola2022

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Articlebronze2022

Forecasting Directional Movement of Stock Prices using Deep Learning

Deeksha Chandola · Akshit Mehta · Shikha Singh · Vinay Anand Tikkiwal · Himanshu Agrawal

70 citations·0/0 files stored·Annals of Data Science

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Stock Market Forecasting Methods Financial Markets and Investment Strategies Financial Analysis and Corporate Governance

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References

1965The Behavior of Stock-Market Prices 2004Forecasting stock market movement direction with support vector machine 2020Stock Closing Price Prediction using Machine Learning Techniques 2019Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data 2014Using Structured Events to Predict Stock Price Movement: An Empirical Investigation 2017Deep learning for stock market prediction from financial news articles 2020Stock Market Forecasting Using Computational Intelligence: A Survey 2022Advances in Big Data Analytics

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2025Deep learning for financial forecasting: A review of recent trends 2023Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction 2024Enhancing the Prediction of Stock Market Movement Using Neutrosophic-Logic-Based Sentiment Analysis 2024Stock Market Trend Prediction Using Deep Learning Approach

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Details

Year2022

Typearticle

Published2022-08-01

VenueAnnals of Data Science

ISSN-L2198-5804

Languageen

Citations70

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1007/s40745-022-00432-6

openalex_workW4289225573

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