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Stock Price Prediction Using Machine Learning Techniques
11 references·0 citing·40 second hop
Stock Price Prediction Using Machine Learning Techniques (2019)Stock Price Prediction Using Machine Lear…Application and analysis of forecasting stock price index based on combination of ARIMA model and BP neural network (2018)Application and analysis of f…Stock price direction prediction by directly using prices data: an empirical study on the KOSPI and HSI (2014)Stock price direction predict…Predicting stock market index using fusion of machine learning techniques (2014)Predicting stock market index…Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Predicting stock and stock pr…Textual analysis of stock market prediction using breaking financial news (2009)Textual analysis of stock mar…Combining News and Technical Indicators in Daily Stock Price Trends Prediction (2007)Combining News and Technical …Textual Analysis of Stock Market Prediction Using Financial News Articles (2006)Textual Analysis of Stock Mar…Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation (2006)Machine Learning Techniques a…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Support vector machine for regression and applications to financial forecasting (2000)Support vector machine for re…The Behavior of Stock-Market Prices (1965)A Random Walk Down Wall Street (1973)Application of support vector machines in financial time series forecasting (2001)A Discrete Stock Price Prediction Engine Based on Financial News (2010)Enhancing quantitative intra-day stock return prediction by integrating both market news and stock prices information (2014)Exploring mutual information-based sentimental analysis with kernel-based extreme learning machine for stock prediction (2016)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Efficient Capital Markets: II (1991)Financial time series forecasting with deep learning : A systematic literature review: 2005–2019 (2020)Explainable stock prices prediction from financial news articles using sentiment analysis (2021)A multi-agent deep reinforcement learning framework for algorithmic trading in financial markets (2022)Investor sentiment and the near-term stock market (2003)Evaluating and understanding text-based stock price prediction models (2014)An intelligent short term stock trading fuzzy system for assisting investors in portfolio management (2015)Deep Leaming for Stock Market Prediction Using Technical Indicators and Financial News Articles (2018)Generalized autoregressive conditional heteroskedasticity (1986)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Sentiment analysis on social media for stock movement prediction (2015)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)A systematic review of fundamental and technical analysis of stock market predictions (2019)Forecasting with artificial neural networks: (1998)Stock market's price movement prediction with LSTM neural networks (2017)The Cross-Section of Expected Stock Returns (1992)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Support Vector Machine Regression for Volatile Stock Market Prediction (2002)Deep learning and time series-to-image encoding for financial forecasting (2020)Adaptability of Financial Time Series Prediction Based on BiLSTM (2022)Using artificial neural network models in stock market index prediction (2011)Recurrent neural network and a hybrid model for prediction of stock returns (2014)Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market (2016)Discovery and Prediction of Stock Index Pattern via Three-Stage Architecture of TICC, TPA-LSTM and Multivariate LSTM-FCNs (2020)Research on GDP Forecast Analysis Combining BP Neural Network and ARIMA Model (2021)A Black Swan event-based hybrid model for Indian stock markets’ trends prediction (2022)A LSTM-based method for stock returns prediction: A case study of China stock market (2015)Deep learning for event-driven stock prediction (2015)Applications of deep learning in stock market prediction: Recent progress (2021)Evaluating multiple classifiers for stock price direction prediction (2015)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)
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References

  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques1,139 cited
  • 2004Forecasting stock market movement direction with support vector machine1,119 cited
  • 2009Textual analysis of stock market prediction using breaking financial news777 cited
  • 2014Predicting stock market index using fusion of machine learning techniques608 cited
  • 2000Support vector machine for regression and applications to financial forecasting326 cited
  • 2006Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation138 cited
  • 2007Combining News and Technical Indicators in Daily Stock Price Trends Prediction129 cited
  • 2006Textual Analysis of Stock Market Prediction Using Financial News Articles79 cited
  • 2018Application and analysis of forecasting stock price index based on combination of ARIMA model and BP neural network63 cited
  • 2014Stock price direction prediction by directly using prices data: an empirical study on the KOSPI and HSI49 cited

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