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Technical analysis of the financial markets: a comprehensive guide to trading methods and applications
0 references·16 citing·50 second hopsampled
Technical analysis of the financial markets: a comprehensive guide to trading methods and applications (1999)Technical analysis of the financial marke…Stock market index prediction using deep Transformer model (2022)Stock market index prediction…Predicting stock market index using LSTM (2022)Predicting stock market index…Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)Prediction of stock price dir…Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization (2021)Crude oil time series predict…Artificial Intelligence Applied to Stock Market Trading: A Review (2021)Artificial Intelligence Appli…Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review (2020)Stock Market Forecasting Usin…Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Predicting Stock Market Trend…Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting (2020)Multi-DQN: An ensemble of Dee…Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis (2018)Temporal Attention-Augmented …Predicting short-term stock prices using ensemble methods and online data sources (2018)Predicting short-term stock p…Forecasting price movements using technical indicators: Investigating the impact of varying input window length (2017)Forecasting price movements u…Stock prediction using deep learning (2016)Stock prediction using deep l…Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2016)Deep Direct Reinforcement Lea…Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil (2013)Applying Artificial Neural Ne…Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Combining multiple feature se…Currency Orders and Exchange Rate Dynamics: An Explanation for the Predictive Success of Technical Analysis (2003)Currency Orders and Exchange …Random Walks in Stock Market Prices (1995)Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation (2000)Financial time series forecasting using support vector machines (2003)Evaluation of Tree-Based Ensemble Machine Learning Models in Predicting Stock Price Direction of Movement (2020)Mean Reversion in Stock Prices: Evidence and Implications (1987)Mean reversion in stock prices (1988)The Sharpe Ratio (1994)Deep learning-based feature engineering for stock price movement prediction (2018)Deep learning for financial applications : A survey (2020)Applications of deep learning in stock market prediction: Recent progress (2021)Surveying stock market forecasting techniques – Part II: Soft computing methods 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  • 2016Deep Direct Reinforcement Learning for Financial Signal Representation and Trading821 cited
  • 2020Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis467 cited
  • 2010Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches378 cited
  • 2022Stock market index prediction using deep Transformer model371 cited
  • 2016Stock prediction using deep learning339 cited
  • 2022Predicting stock market index using LSTM314 cited
  • 2021Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process292 cited
  • 2018Predicting short-term stock prices using ensemble methods and online data sources278 cited
  • 2021Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization256 cited
  • 2018Temporal Attention-Augmented Bilinear Network for Financial Time-Series Data Analysis238 cited
  • 2003Currency Orders and Exchange Rate Dynamics: An Explanation for the Predictive Success of Technical Analysis227 cited
  • 2020Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting227 cited
  • 2013Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil

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220 cited
  • 2021Artificial Intelligence Applied to Stock Market Trading: A Review199 cited
  • 2017Forecasting price movements using technical indicators: Investigating the impact of varying input window length190 cited
  • 2020Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review186 cited