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Prediction of Stock Market Index Using a Hybrid Technique of Artificial Neural Networks and Particle Swarm Optimization
7 references·2 citing·38 second hop
Prediction of Stock Market Index Using a Hybrid Technique of Artificial Neural Networks and Particle Swarm Optimization (2021)Prediction of Stock Market Index Using a …Stock Market Forecasting Using Computational Intelligence: A Survey (2020)Stock Market Forecasting Usin…Optimizing LSTM Based Network For Forecasting Stock Market (2020)Optimizing LSTM Based Network…HYBRID FUZZY NEURAL NETWORK TO PREDICT PRICE DIRECTION IN THE GERMAN DAX-30 INDEX (2018)HYBRID FUZZY NEURAL NETWORK T…Stock market index prediction using artificial neural network (2016)Stock market index prediction…Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model (2016)Predicting the Direction of S…Prediction of S&P 500 and DJIA stock indices using Particle Swarm Optimization technique (2008)Prediction of S&P 500 and DJI…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Gradient Boosting and LSTM Based Hybrid Ensemble Learning for Two Step Prediction of Stock Market (2023)Gradient Boosting and LSTM Ba…Cryptocurrency Price Prediction with Neural Networks of LSTM and Bayesian Optimization (2022)Cryptocurrency Price Predicti…Computer Simulation Experiments with Models of Economic Systems (1972)Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach (1997)A fusion model of HMM, ANN and GA for stock market forecasting (2006)Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm (2010)Recurrent neural network and a hybrid model for prediction of stock returns (2014)Systematic analysis and review of stock market prediction techniques (2019)Forecasting with artificial neural networks: (1998)Application of support vector machines in financial time series forecasting (2001)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Stock market's price movement prediction with LSTM neural networks (2017)BUSINESS RESEARCH METHODS (PHƯƠNG PHÁP NGHIÊN CỨU TRONG KINH DOANH) (2023)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)A neural network approach for credit risk evaluation (2007)Using artificial neural network models in stock market index prediction (2011)A Comprehensive Comparative Study of Artificial Neural Network (ANN) and Support Vector Machines (SVM) on Stock Forecasting (2021)Forecasting: theory and practice (2022)Fuzzy sets (1965)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)A systematic review of fundamental and technical analysis of stock market predictions (2019)Deep Learning for Stock Market Prediction (2020)The Predictability of the Exchange Rate When Combining Machine Learning and Fundamental Models (2020)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)Forecasting stock price using integrated artificial neural network and metaheuristic algorithms compared to time series models (2021)Neural Networks for Financial Time Series Forecasting (2022)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Intelligent Asset Allocation using Predictions of Deep Frequency Decomposition (2021)Modeling and Forecasting Realized Volatility (2003)Stock Prediction based on Bayesian-LSTM (2018)Prediction of Cryptocurrency Price Index Using Artificial Neural Networks: A Survey of the Literature (2021)The Efficient Market Hypothesis and Its Critics (2003)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Machine learning techniques and data for stock market forecasting: A literature review (2022)
this work references cited by second hop

References

  • 2003Financial time series forecasting using support vector machines1,746 cited
  • 2016Stock market index prediction using artificial neural network423 cited
  • 2016Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model263 cited
  • 2020Stock Market Forecasting Using Computational Intelligence: A Survey209 cited
  • 2018HYBRID FUZZY NEURAL NETWORK TO PREDICT PRICE DIRECTION IN THE GERMAN DAX-30 INDEX52 cited
  • 2020Optimizing LSTM Based Network For Forecasting Stock Market42 cited
  • 2008Prediction of S&P 500 and DJIA stock indices using Particle Swarm Optimization technique35 cited

Cited by

  • 2023Gradient Boosting and LSTM Based Hybrid Ensemble Learning for Two Step Prediction of Stock Market26 cited
  • 2022Cryptocurrency Price Prediction with Neural Networks of LSTM and Bayesian Optimization24 cited

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