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Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction
4 references·16 citing·53 second hop
Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction (2015)Integrating metaheuristics and Artificial…Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Comparison of ARIMA and Artif…Using artificial neural network models in stock market index prediction (2011)Using artificial neural netwo…Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting direction of stock…Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting (2010)Integration of genetic fuzzy …News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review (2023)News-based intelligent predic…Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework (2021)Stock market forecasting usin…Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models (2021)Forecasting stock price using…Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda (2021)Application of Artificial Int…Stock Market Forecasting Using Computational Intelligence: A Survey (2020)Stock Market Forecasting Usin…Machine learning as an early warning system to predict financial crisis (2020)Machine learning as an early …Efficient Stock-Market Prediction Using Ensemble Support Vector Machine (2020)Efficient Stock-Market Predic…Determinants of learning management systems adoption in Nigeria: A hybrid SEM and artificial neural network approach (2020)Determinants of learning mana…A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM (2020)A novel deep learning framewo…Predicting short-term stock prices using ensemble methods and online data sources (2018)Predicting short-term stock p…Listening to Chaotic Whispers (2018)Listening to Chaotic WhispersImproving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators (2018)Improving Stock Closing Price…Forward Forecast of Stock Price Using Sliding-Window Metaheuristic-Optimized Machine-Learning Regression (2018)Forward Forecast of Stock Pri…An Adaptive SVR for High-Frequency Stock Price Forecasting (2018)An Adaptive SVR for High-Freq…A novel data-driven stock price trend prediction system (2017)A novel data-driven stock pri…A Hybrid Artificial Neural Network with Metaheuristic Algorithms for Predicting Stock Price (2017)A Hybrid Artificial Neural Ne…Forecasting with artificial neural networks: (1998)An artificial neural network (p,d,q) model for timeseries forecasting (2009)Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)A systematic review of fundamental and technical analysis of stock market predictions (2019)A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction (2021)Financial time series forecasting using support vector machines (2003)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Applications of deep learning in stock market prediction: Recent progress (2021)Stock market forecasting using hidden Markov model: a new approach (2005)Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network (2008)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming (2010)Forecasting tourism demand based on empirical mode decomposition and neural network (2011)Systematic 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independent component analysis and support vector regression (2009)Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting (2013)Stock price forecast based on combined model of ARI-MA-LS-SVM (2020)Multi-Step Crude Oil Price Prediction Based on LSTM Approach Tuned by Salp Swarm Algorithm with Disputation Operator (2022)The Behavior of Stock-Market Prices (1965)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Twitter mood predicts the stock market (2011)Portfolio formation with preselection using deep learning from long-term financial data (2019)Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting (2020)Survey of feature selection and extraction techniques for stock market prediction (2023)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control. (1978)Introduction to Time Series and Forecasting (2002)Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review (2020)Neural Networks for Financial Time Series Forecasting (2022)Power and Centrality: A Family of Measures (1987)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Dynamic Conditional Correlation (2002)Covid-19 pandemic and spillover effects in stock markets: A financial network approach (2021)Ecological efficiency assessment under the construction of low-carbon city: a perspective of green technology innovation (2021)Financial applications of machine learning: A literature review (2023)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Deep learning with long short-term memory networks for financial market predictions (2017)A seasonal-trend decomposition-based dendritic neuron model for financial time series prediction (2021)Forecasting Stock Market Indices Using Padding-Based Fourier Transform Denoising and Time Series Deep Learning Models (2021)Data-driven stock forecasting models based on neural networks: A review (2024)
this work references cited by second hop

References

  • 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange880 cited
  • 2011Using artificial neural network models in stock market index prediction787 cited
  • 2014Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction579 cited
  • 2010Integration of genetic fuzzy systems and artificial neural networks for stock price forecasting371 cited

Cited by

  • 2018Predicting short-term stock prices using ensemble methods and online data sources278 cited
  • 2018Listening to Chaotic Whispers274 cited
  • 2020A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM237 cited
  • 2020Stock Market Forecasting Using Computational Intelligence: A Survey209 cited
  • 2018Forward Forecast of Stock Price Using Sliding-Window Metaheuristic-Optimized Machine-Learning Regression198 cited
  • 2020Machine learning as an early warning system to predict financial crisis167 cited
  • 2023News-based intelligent prediction of financial markets using text mining and machine learning: A systematic literature review162 cited
  • 2017A novel data-driven stock price trend prediction system159 cited
  • 2021Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework150 cited

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  • 2021Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models126 cited
  • 2018An Adaptive SVR for High-Frequency Stock Price Forecasting108 cited
  • 2021Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda103 cited
  • 2018Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators92 cited
  • 2020Efficient Stock-Market Prediction Using Ensemble Support Vector Machine92 cited
  • 2020Determinants of learning management systems adoption in Nigeria: A hybrid SEM and artificial neural network approach88 cited
  • 2017A Hybrid Artificial Neural Network with Metaheuristic Algorithms for Predicting Stock Price88 cited