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A Hybrid Machine Learning System For Stock Market Forecasting
10 references·16 citing·42 second hop
A Hybrid Machine Learning System For Stock Market Forecasting (2008)A Hybrid Machine Learning System For Stoc…Trading Systems and Methods (2012)Trading Systems and MethodsA hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets (2006)A hybrid approach based on ne…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Application of neural network…Financial Forecasting Using Support Vector Machines (2001)Financial Forecasting Using S…Application of support vector machines in financial time series forecasting (2001)Application of support vector…Genetic Programming Prediction of Stock Prices (2000)Genetic Programming Predictio…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Forecasting S&P 500 stock index futures with a hybrid AI system (1998)Forecasting S&P 500 stock ind…Stock Price Prediction Using Prior Knowledge and Neural Networks (1997)Stock Price Prediction Using …Attentive gated graph sequence neural network-based time-series information fusion for financial trading (2022)Attentive gated graph sequenc…Stock values predictions using deep learning based hybrid models (2021)Stock values predictions usin…Graph-based stock correlation and prediction for high-frequency trading systems (2021)Graph-based stock correlation…Machine Learning Stock Market Prediction Studies: Review and Research Directions (2020)Machine Learning Stock Market…Stock Price Pattern Prediction Based on Complex Network and Machine Learning (2019)Stock Price Pattern Predictio…Stock Market Forecasting using Machine Learning: Today and Tomorrow (2019)Stock Market Forecasting usin…Leveraging social media news to predict stock index movement using RNN-boost (2018)Leveraging social media news …An empirical study on the application of the Evidential Reasoning rule to decision making in financial investment (2018)An empirical study on the app…AIRMS: A risk management tool using machine learning (2018)AIRMS: A risk management tool…Stock market prediction using neural network through news on online social networks (2017)Stock market prediction using…Prediction of Stock Market by Principal Component Analysis (2017)Prediction of Stock Market by…A deep learning based stock trading model with 2-D CNN trend detection (2017)A deep learning based stock t…Stock market prediction: A big data approach (2015)Stock market prediction: A bi…State-of-the-Art in Stock Prediction Techniques (2013)State-of-the-Art in Stock Pre…Application of neural network for forecasting of exchange rates and forex trading (2012)Application of neural network…A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices (2011)A PSO based integrated functi…A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks (1994)An investigation and comparison of artificial neural network and time series models for Chinese food grain price forecasting (2007)Evolving Least Squares Support Vector Machines for Stock Market Trend Mining (2008)Forecasting with artificial neural networks: (1998)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Stock market's price movement prediction with LSTM neural networks (2017)Stock market prediction system with modular neural networks (1990)Proceedings of the International Joint Conference on Neural Networks, 2003. 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this work references cited by second hop

References

  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2001Application of support vector machines in financial time series forecasting1,270 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 2002Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index527 cited
  • 2001Financial Forecasting Using Support Vector Machines392 cited
  • 2006A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets223 cited
  • 1998Forecasting S&P 500 stock index futures with a hybrid AI system222 cited
  • 2000Genetic Programming Prediction of Stock Prices175 cited
  • 1997Stock Price Prediction Using Prior Knowledge and Neural Networks162 cited
  • 2012Trading Systems and Methods152 cited

Cited by

  • 2020Machine Learning Stock Market Prediction Studies: Review and Research Directions162 cited
  • 2017A deep learning based stock trading model with 2-D CNN trend detection134 cited
  • 2011A PSO based integrated functional link net and interval type-2 fuzzy logic system for predicting stock market indices119 cited
  • 2018Leveraging social media news to predict stock index movement using RNN-boost

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113 cited
  • 2015Stock market prediction: A big data approach90 cited
  • 2013State-of-the-Art in Stock Prediction Techniques90 cited
  • 2021Stock values predictions using deep learning based hybrid models68 cited
  • 2021Graph-based stock correlation and prediction for high-frequency trading systems68 cited
  • 2019Stock Market Forecasting using Machine Learning: Today and Tomorrow61 cited
  • 2022Attentive gated graph sequence neural network-based time-series information fusion for financial trading56 cited
  • 2017Prediction of Stock Market by Principal Component Analysis53 cited
  • 2012Application of neural network for forecasting of exchange rates and forex trading48 cited
  • 2017Stock market prediction using neural network through news on online social networks48 cited
  • 2018AIRMS: A risk management tool using machine learning47 cited
  • 2019Stock Price Pattern Prediction Based on Complex Network and Machine Learning47 cited
  • 2018An empirical study on the application of the Evidential Reasoning rule to decision making in financial investment44 cited