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LSTM-ARIMA as a hybrid approach in algorithmic investment strategies
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(2005)Integración de los mercados financieros Latinoamericanos por medio de MILA (2020)Financial applications of machine learning: A literature review (2023)Real-time forecasting of time series in financial markets using sequentially trained dual-LSTMs (2023)A systematic review of fundamental and technical analysis of stock market predictions (2019)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)A CNN-LSTM-Based Model to Forecast Stock Prices (2020)The predictive power of online chatter (2005)Quantile regression for dynamic panel data with fixed effects (2011)Tourism demand forecasting: A deep learning approach (2019)A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions (2021)Machine learning approaches in stock market prediction: A systematic literature review (2023)
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References

  • 2009Time series analysis forecasting and control2,585 cited
  • 2018A Comparison of ARIMA and LSTM in Forecasting Time Series1,382 cited
  • 2014Stock Price Prediction Using the ARIMA Model1,153 cited
  • 2017Stock market's price movement prediction with LSTM neural networks943 cited
  • 2018NSE Stock Market Prediction Using Deep-Learning Models615 cited
  • 2022Predicting stock market index using LSTM314 cited
  • 2014Study of Effectiveness of Time Series Modeling (Arima) in Forecasting Stock Prices288 cited
  • 2017Predicting Stock Prices Using LSTM269 cited
  • 2013Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting197 cited
  • 2019AT-LSTM: An Attention-based LSTM Model for Financial Time Series Prediction184 cited
  • 2013An Effective Time Series Analysis for Stock Trend Prediction Using ARIMA Model for Nifty Midcap-50144 cited
  • 2021Forecasting Indonesia Exports using a Hybrid Model ARIMA-LSTM135 cited
  • 2021Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting83 cited
  • 2023Deep LSTM and LSTM-Attention Q-learning based reinforcement learning in oil and gas sector prediction83 cited
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Forecasting bitcoin: Decomposition aided long short-term memory based time series modeling and its explanation with Shapley values
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  • 2020Time series analysis of Cryptocurrency returns and volatilities72 cited
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