Corpus ID: 221856398

Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models

@article{Mehtab2020StockPP,
  title={Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models},
  author={Sidra Mehtab and Jaydip Sen and Abhishek Dutta},
  journal={ArXiv},
  year={2020},
  volume={abs/2009.10819}
}
  • Sidra Mehtab, Jaydip Sen, Abhishek Dutta
  • Published 2020
  • Computer Science, Economics
  • ArXiv
  • Prediction of stock prices has been an important area of research for a long time. While supporters of the efficient market hypothesis believe that it is impossible to predict stock prices accurately, there are formal propositions demonstrating that accurate modeling and designing of appropriate variables may lead to models using which stock prices and stock price movement patterns can be very accurately predicted. In this work, we propose an approach of hybrid modeling for stock price… CONTINUE READING
    3 Citations

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    References

    SHOWING 1-10 OF 28 REFERENCES
    A Robust Predictive Model for Stock Price Prediction Using Deep Learning and Natural Language Processing
    • 10
    • PDF
    A Time Series Analysis-Based Stock Price Prediction Using Machine Learning and Deep Learning Models
    • 3
    • PDF
    A Robust Predictive Model for Stock Price Forecasting
    • 10
    Stock Price Prediction Using the ARIMA Model
    • 186
    • PDF
    ARIMA Modeling with Intervention to Forecast and Analyze Chinese Stock Prices
    • 38
    • PDF
    A Predictive Analysis of the Indian FMCG Sector Using Time Series Decomposition-Based Approach
    • 9
    Forecasting stock exchange movements using neural networks: Empirical evidence from Kuwait
    • 117
    STUDY OF EFFECTIVENESS OF TIME SERIES M ODELI NG (ARIMA) INFORECASTING STOCK PRICES
    • 61
    A Time Series Analysis - Based Forecasting Approach for the Indian Realty Sector
    • 4