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Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme
16 references·4 citing·39 second hop
Stock Trend Prediction Using Candlestick Charting and Ensemble Machine Learning Techniques With a Novelty Feature Engineering Scheme (2021)Stock Trend Prediction Using Candlestick …Stock price prediction based on deep neural networks (2019)Stock price prediction based …Literature review: Machine learning techniques applied to financial market prediction (2019)Literature review: Machine le…A systematic review of fundamental and technical analysis of stock market predictions (2019)A systematic review of fundam…Deep learning with long short-term memory networks for financial market predictions (2017)Deep learning with long short…A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A deep learning framework for…Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)Deep neural networks, gradien…Predicting stock market index using fusion of machine learning techniques (2014)Predicting stock market index…Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Predicting stock and stock pr…Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Support vector regression wit…Stock index forecasting based on a hybrid model (2011)Stock index forecasting based…Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Combining multiple feature se…Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)Using support vector machine …Technical analysis: An asset allocation perspective on the use of moving averages☆ (2009)Technical analysis: An asset …Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation (2000)Foundations of Technical Anal…Market Efficiency and the Returns to Technical Analysis (1998)Market Efficiency and the Ret…A deep learning integrated framework for predicting stock index price and fluctuation via singular spectrum analysis and particle swarm optimization (2024)A deep learning integrated fr…Machine learning models for evaluating the benefits of business intelligence systems (2023)Machine learning models for e…A performance comparison of machine learning models for stock market prediction with novel investment strategy (2023)A performance comparison of m…A stock time series forecasting approach incorporating candlestick patterns and sequence similarity (2022)A stock time series forecasti…Time Series Analysis: Forecasting and Control. 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this work references cited by second hop

References

  • 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
  • 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques1,139 cited
  • 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,131 cited
  • 2000Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation1,118 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 2016Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500749 cited
  • 2014Predicting stock market index using fusion of machine learning techniques608 cited
  • 2019Literature review: Machine learning techniques applied to financial market prediction560 cited
  • 2019A systematic review of fundamental and technical analysis of stock market predictions545 cited
  • 2012Support vector regression with chaos-based firefly algorithm for stock market price forecasting466 cited
  • 2010Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches378 cited
  • 2019Stock price prediction based on deep neural networks378 cited
  • 2011Stock index forecasting based on a hybrid model377 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 1998Market Efficiency and the Returns to Technical Analysis324 cited
  • 2009Using support vector machine with a hybrid feature selection method to the stock trend prediction302 cited
  • 2009Technical analysis: An asset allocation perspective on the use of moving averages☆289 cited
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    • 2024A deep learning integrated framework for predicting stock index price and fluctuation via singular spectrum analysis and particle swarm optimization29 cited
    • 2023Machine learning models for evaluating the benefits of business intelligence systems24 cited