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Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting
3 references·16 citing·49 second hop
Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting (2010)Integration of genetic fuzzy systems and …Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network (2008)Stock market prediction of S&…Stock market forecasting using hidden Markov model: a new approach (2005)Stock market forecasting usin…Artificial Intelligence Applied to Stock Market Trading: A Review (2021)Artificial Intelligence Appli…Stock Market Forecasting Using Computational Intelligence: A Survey (2020)Stock Market Forecasting Usin…A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques (2020)A Survey on Machine Learning …Systematic analysis and review of stock market prediction techniques (2019)Systematic analysis and revie…Machine Learning for Quantitative Finance Applications: A Survey (2019)Machine Learning for Quantita…Forward Forecast of Stock Price Using Sliding-Window Metaheuristic-Optimized Machine-Learning Regression (2018)Forward Forecast of Stock Pri…A novel data-driven stock price trend prediction system (2017)A novel data-driven stock pri…Bridging the divide in financial market forecasting: machine learners vs. financial economists (2016)Bridging the divide in financ…An adaptive stock index trading decision support system (2016)An adaptive stock index tradi…Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction (2015)Integrating metaheuristics an…Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review (2015)Application of evolutionary c…Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting (2013)Multiple-output support vecto…Hybridization of evolutionary Levenberg–Marquardt neural networks and data pre-processing for stock market prediction (2012)Hybridization of evolutionary…Empirical mode decomposition–based least squares support vector regression for foreign exchange rate forecasting (2012)Empirical mode decomposition–…Forecasting tourism demand based on empirical mode decomposition and neural network (2011)Forecasting tourism demand ba…Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming (2010)Forecasting time series using…Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Using artificial neural network models in stock market index prediction (2011)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Listening to Chaotic Whispers (2018)Predicting short-term stock prices using ensemble methods and online data sources (2018)A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM (2020)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Forecasting with artificial neural networks: (1998)Application of support vector machines in financial time series forecasting (2001)Tourism demand modelling and forecasting—A review of recent research (2007)New developments in tourism and hotel demand modeling and forecasting (2017)Improving Tourist Arrival Prediction: A Big Data and Artificial Neural Network Approach (2020)The impact of COVID-19 on tourism sector in India (2020)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)Hybrid structures in time series modeling and forecasting: A review (2019)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)A hybrid intelligent fuzzy predictive model with simulation for supplier evaluation and selection (2016)Financial time series prediction using a dendritic neuron model (2016)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Stock market prediction system with modular neural networks (1990)Financial Forecasting Using Support Vector Machines (2001)A fusion model of HMM, ANN and GA for stock market forecasting (2006)Stock Market Trend Prediction Using High-Order Information of Time Series (2019)Short-term stock market price trend prediction using a comprehensive deep learning system (2020)Proceedings of the International Joint Conference on Neural Networks, 2003. 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this work references cited by second hop

References

  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
  • 2008Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network423 cited
  • 2005Stock market forecasting using hidden Markov model: a new approach382 cited

Cited by

  • 2019Systematic analysis and review of stock market prediction techniques335 cited
  • 2015Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction324 cited
  • 2010Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming267 cited
  • 2011Forecasting tourism demand based on empirical mode decomposition and neural network217 cited
  • 2020Stock Market Forecasting Using Computational Intelligence: A Survey209 cited
  • 2012Hybridization of evolutionary Levenberg–Marquardt neural networks and data pre-processing for stock market prediction201 cited
  • 2019Machine Learning for Quantitative Finance Applications: A Survey199 cited
  • 2021Artificial Intelligence Applied to Stock Market Trading: A Review199 cited
  • 2018Forward Forecast of Stock Price Using Sliding-Window Metaheuristic-Optimized Machine-Learning Regression198 cited
  • 2013Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting197 cited

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  • 2016Bridging the divide in financial market forecasting: machine learners vs. financial economists195 cited
  • 2015Application of evolutionary computation for rule discovery in stock algorithmic trading: A literature review184 cited
  • 2017A novel data-driven stock price trend prediction system159 cited
  • 2012Empirical mode decomposition–based least squares support vector regression for foreign exchange rate forecasting152 cited
  • 2020A Survey on Machine Learning for Stock Price Prediction: Algorithms and Techniques137 cited
  • 2016An adaptive stock index trading decision support system136 cited