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Ensemble Technique With Optimal Feature Selection for Saudi Stock Market Prediction: A Novel Hybrid Red Deer-Grey Algorithm
10 references·2 citing·51 second hopsampled
Ensemble Technique With Optimal Feature Selection for Saudi Stock Market Prediction: A Novel Hybrid Red Deer-Grey Algorithm (2021)Ensemble Technique With Optimal Feature S…Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Predicting Stock Market Trend…Integrated Long-Term Stock Selection Models Based on Feature Selection and Machine Learning Algorithms for China Stock Market (2020)Integrated Long-Term Stock Se…Augmented Textual Features-Based Stock Market Prediction (2020)Augmented Textual Features-Ba…A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques (2020)A Survey on Machine Learning …Stock Market Trend Prediction Using High-Order Information of Time Series (2019)Stock Market Trend Prediction…Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network (2019)Global Stock Market Predictio…A Prediction Approach for Stock Market Volatility Based on Time Series Data (2019)A Prediction Approach for Sto…Which Artificial Intelligence Algorithm Better Predicts the Chinese Stock Market? (2018)Which Artificial Intelligence…Stock Market Prediction via Multi-Source Multiple Instance Learning (2018)Stock Market Prediction via M…A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction (2017)A feature weighted support ve…Stock Market Prediction Using Machine Learning and Deep Learning Techniques: A Review (2025)Stock Market Prediction Using…A Hybrid Data Analytics Framework with Sentiment Convergence and Multi-Feature Fusion for Stock Trend Prediction (2022)A Hybrid Data Analytics Frame…Time Series Analysis, Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control. 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References

  • 2020Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis467 cited
  • 2017A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction382 cited
  • 2019A Prediction Approach for Stock Market Volatility Based on Time Series Data275 cited
  • 2019Stock Market Trend Prediction Using High-Order Information of Time Series191 cited
  • 2020Integrated Long-Term Stock Selection Models Based on Feature Selection and Machine Learning Algorithms for China Stock Market158 cited
  • 2018Stock Market Prediction via Multi-Source Multiple Instance Learning152 cited
  • 2020A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques137 cited
  • 2018Which Artificial Intelligence Algorithm Better Predicts the Chinese Stock Market?124 cited
  • 2019Global Stock Market Prediction Based on Stock Chart Images Using Deep Q-Network112 cited
  • 2020Augmented Textual Features-Based Stock Market Prediction105 cited

Cited by

  • 2025Stock Market Prediction Using Machine Learning and Deep Learning Techniques: A Review45 cited
  • 2022A Hybrid Data Analytics Framework with Sentiment Convergence and Multi-Feature Fusion for Stock Trend Prediction43 cited

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