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LSTM based decision support system for swing trading in stock market · Study

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ArticleLSTM based decision support system for swing trading in stock market

Shouvik Banik2021

Article2021

LSTM based decision support system for swing trading in stock market

Shouvik Banik · Nonita Sharma · Monika Mangla · Sachi Nandan Mohanty · Shitharth Selvarajan

120 citations·0/0 files stored·Knowledge-Based Systems

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

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References

2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory 2019Temporal Relational Ranking for Stock Prediction 2020Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis 2020Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting 2017Sentiment-aware stock market prediction: A deep learning method

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2022Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies 2023LSTM–GARCH Hybrid Model for the Prediction of Volatility in Cryptocurrency Portfolios 2024Artificial intelligence techniques in financial trading: A systematic literature review 2024A deep fusion model for stock market prediction with news headlines and time series data 2023Stock market prediction with time series data and news headlines: a stacking ensemble approach 2025Navigating AI-Driven Financial Forecasting: A Systematic Review of Current Status and Critical Research Gaps 2024Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions

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Details

Year2021

Typearticle

Published2021-12-23

VenueKnowledge-Based Systems

ISSN-L0950-7051

Languageen

Citations120

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.knosys.2021.107994

openalex_workW4200410702

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