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An Advisor Neural Network framework using LSTM-based Informative Stock Analysis
16 references·0 citing·47 second hop
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References

  • 2004A hybrid ARIMA and support vector machines model in stock price forecasting1,000 cited
  • 2018Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models786 cited
  • 2019Literature review: Machine learning techniques applied to financial market prediction560 cited
  • 2020Deep learning for financial applications : A survey550 cited
  • 2022Machine learning techniques and data for stock market forecasting: A literature review542 cited
  • 1978New Concepts in Technical Trading Systems461 cited
  • 2008Kendall Rank Correlation Coefficient382 cited
  • 2022Deep Learning for Time Series Forecasting: Tutorial and Literature Survey380 cited
  • 2020Incorporating stock prices and news sentiments for stock market prediction: A case of Hong Kong370 cited
  • 2021A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction364 cited
  • 2020Mean–variance portfolio optimization using machine learning-based stock price prediction302 cited
  • 2019Technical analysis and sentiment embeddings for market trend prediction293 cited
  • 2020A novel graph convolutional feature based convolutional neural network for stock trend prediction284 cited
  • 2018Predicting short-term stock prices using ensemble methods and online data sources

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278 cited
  • 2018Decision-making for financial trading: A fusion approach of machine learning and portfolio selection276 cited
  • 2023Survey of feature selection and extraction techniques for stock market prediction237 cited
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