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Predicting stock market index using fusion of machine learning techniques
2 references·16 citing·46 second hopsampled
Predicting stock market index using fusion of machine learning techniques (2014)Predicting stock market index using fusio…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…Generalized autoregressive conditional heteroskedasticity (1986)Generalized autoregressive co…Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis (2020)Predicting Stock Market Trend…Deep Learning for Stock Market Prediction (2020)Deep Learning for Stock Marke…An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market (2020)An integrated framework of de…Systematic analysis and review of stock market prediction techniques (2019)Systematic analysis and revie…Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)Stock Market Analysis: A Revi…Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques (2019)Digital currency forecasting …A systematic review of fundamental and technical analysis of stock market predictions (2019)A systematic review of fundam…Stock price prediction using support vector regression on daily and up to the minute prices (2018)Stock price prediction using …Predicting short-term stock prices using ensemble methods and online data sources (2018)Predicting short-term stock p…ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module (2018)ModAugNet: A new forecasting …Listening to Chaotic Whispers (2018)Listening to Chaotic WhispersStock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)Stock Price Prediction via Di…Stock prediction using deep learning (2016)Stock prediction using deep l…Forecasting daily stock market return using dimensionality reduction (2016)Forecasting daily stock marke…Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)Computational Intelligence an…Sentiment analysis on social media for stock movement prediction (2015)Sentiment analysis on social …The Adjustment of Stock Prices to New Information (1969)Efficient Capital Markets: II (1991)Twitter mood predicts the stock market (2011)The impact of microblogging data for stock market prediction: Using Twitter to predict returns, volatility, trading volume and survey sentiment indices (2016)The predictive power of public Twitter sentiment for forecasting cryptocurrency prices (2020)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)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Applications of deep learning in stock market prediction: Recent progress (2021)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks (1993)Multivariate Simultaneous Generalized ARCH (1995)PORTFOLIO SELECTION* (1952)The Behavior of Stock-Market Prices (1965)Application of support vector machines in financial time series forecasting (2001)Literature review: Machine learning techniques applied to financial market prediction (2019)Machine learning in energy economics and finance: A review (2019)Fuzzy sets (1965)Fuzzy sets (1996)Time series forecasting using a hybrid ARIMA and neural network model (2003)A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction (2017)Stock market prediction using machine learning classifiers and social media, news (2020)A Bayesian regularized artificial neural network for stock market forecasting (2013)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Recurrent neural network and a hybrid model for prediction of stock returns (2014)Enhancing Stock Movement Prediction with Adversarial Training (2019)A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions (2021)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends? (1980)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)Stock price prediction with optimized deep LSTM network with artificial rabbits optimization algorithm (2023)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)A comprehensive evaluation of ensemble learning for stock-market prediction (2020)Cryptocurrency trading: a comprehensive survey (2022)Chaos and Nonlinear Dynamics: Application to Financial Markets (1991)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Stock price prediction using deep learning and frequency decomposition (2020)An Overview of Machine Learning, Deep Learning, and Reinforcement Learning-Based Techniques in Quantitative Finance: Recent Progress and Challenges (2023)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)Forecasting Stock Market Prices Using Machine Learning and Deep Learning Models: A Systematic Review, Performance Analysis and Discussion of Implications (2023)
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References

  • 1986Generalized autoregressive conditional heteroskedasticity22,329 cited
  • 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange880 cited

Cited by

  • 2015Sentiment analysis on social media for stock movement prediction626 cited
  • 2016Computational Intelligence and Financial Markets: A Survey and Future Directions592 cited
  • 2019A systematic review of fundamental and technical analysis of stock market predictions545 cited
  • 2017Stock Price Prediction via Discovering Multi-Frequency Trading Patterns476 cited
  • 2020Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms Via Continuous and Binary Data; a Comparative Analysis467 cited
  • 2019Stock Market Analysis: A Review and Taxonomy of Prediction Techniques465 cited
  • 2020Deep Learning for Stock Market Prediction446 cited
  • 2016Forecasting daily stock market return using dimensionality reduction395 cited
  • 2019Digital currency forecasting with chaotic meta-heuristic bio-inspired signal processing techniques388 cited
  • 2018ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module373 cited
  • 2016Stock prediction using deep learning339 cited

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2019
Systematic analysis and review of stock market prediction techniques
335 cited
  • 2018Stock price prediction using support vector regression on daily and up to the minute prices330 cited
  • 2018Predicting short-term stock prices using ensemble methods and online data sources278 cited
  • 2018Listening to Chaotic Whispers274 cited
  • 2020An integrated framework of deep learning and knowledge graph for prediction of stock price trend: An application in Chinese stock exchange market267 cited