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Stock price forecasting in Indonesia stock exchange using deep learning: a comparative study
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Stock price forecasting in Indonesia stock exchange using deep learning: a comparative study (2023)Stock price forecasting in Indonesia stoc…Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition (2023)Shortlisting machine learning…Predicting LQ45 financial sector indices using RNN-LSTM (2021)Predicting LQ45 financial sec…Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM) (2021)Data science approach to stoc…Prediction model for stock price trend based on recurrent neural network (2020)Prediction model for stock pr…Predicting the Trend of Stock Market Index Using the Hybrid Neural Network Based on Multiple Time Scale Feature Learning (2020)Predicting the Trend of Stock…Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Predicting Stock Market Trend…A CNN-BiLSTM-AM method for stock price prediction (2020)A CNN-BiLSTM-AM method for st…Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data (2019)Forecasting stock prices with…Evaluation of forecasting methods from selected stock market returns (2019)Evaluation of forecasting met…Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)The Cross-Section of Expected Stock Returns (1992)A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network (2020)Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions (2020)A stock price prediction method based on deep learning technology (2021)Time Series Analysis: Forecasting and Control (1977)Distribution of the Estimators for Autoregressive Time Series with a Unit Root (1979)Testing for a Unit Root in Time Series Regression 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this work references cited by second hop

References

  • 2020A CNN-BiLSTM-AM method for stock price prediction633 cited
  • 2020Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis467 cited
  • 2019Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data342 cited
  • 2020Prediction model for stock price trend based on recurrent neural network142 cited
  • 2021Data science approach to stock prices forecasting in Indonesia during Covid-19 using Long Short-Term Memory (LSTM)134 cited
  • 2020Predicting the Trend of Stock Market Index Using the Hybrid Neural Network Based on Multiple Time Scale Feature Learning95 cited
  • 2019Evaluation of forecasting methods from selected stock market returns92 cited
  • 2021Predicting LQ45 financial sector indices using RNN-LSTM72 cited
  • 2023Shortlisting machine learning-based stock trading recommendations using candlestick pattern recognition44 cited

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