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Mining Stock Market Tendency Using GA-Based Support Vector Machines
11 references·5 citing·39 second hop
Mining Stock Market Tendency Using GA-Based Support Vector Machines (2005)Mining Stock Market Tendency Using GA-Bas…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…Predicting stock price performance: a neural network approach (2002)Predicting stock price perfor…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Improving returns on stock investment through neural network selection (1999)Improving returns on stock in…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Forecasting S&P 500 stock index futures with a hybrid AI system (1998)Forecasting S&P 500 stock ind…Stock Price Prediction Using Prior Knowledge and Neural Networks (1997)Stock Price Prediction Using …Much ado about nothing? Exchange rate forecasting: Neural networks vs. linear models using monthly and weekly data (1996)Much ado about nothing? Excha…Trading Equity Index Futures With a Neural Network (1992)Trading Equity Index Futures …Stock price pattern recognition-a recurrent neural network approach (1990)Stock price pattern recogniti…Predicting Corporate Financial Sustainability Using Novel Business Analytics (2018)Predicting Corporate Financia…Prediction of stock price movement based on daily high prices (2015)Prediction of stock price mov…Trend discovery in financial time series data using a case based fuzzy decision tree (2010)Trend discovery in financial …Dynamically exploring internal mechanism of stock market by fuzzy-based support vector machines with high dimension input space and genetic algorithm (2007)Dynamically exploring interna…CURRENCY CRISIS FORECASTING WITH GENERAL REGRESSION NEURAL NETWORKS (2006)CURRENCY CRISIS FORECASTING W…Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Managerial Applications of Neural Networks: The Case of Bank Failure Predictions (1992)Time series forecasting using a hybrid ARIMA and neural network model (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks (1994)A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets (2006)An investigation and comparison of artificial neural network and time series models for Chinese food grain price forecasting (2007)Evolving Least Squares Support Vector Machines for Stock Market Trend Mining (2008)Bond rating: A non-conservative application of neural networks (1988)A neural network model for bankruptcy prediction (1990)Neural Networks: A New Tool for Predicting Thrift Failures* (1992)Combining News and Technical Indicators in Daily Stock Price Trends Prediction (2007)Generalized DEA model of fundamental analysis and its application to portfolio optimization (2007)Forecasting box office revenue of movies with BP neural network (2008)The Cross-Section of Expected Stock Returns (1992)Application of support vector machines in financial time series forecasting (2001)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Content Analysis in Communication Research. (1952)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)ZETATM analysis A new model to identify bankruptcy risk of corporations (1977)Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation (2006)A Hybrid Neurogenetic Approach for Stock Forecasting (2007)Evolving and clustering fuzzy decision tree for financial time series data forecasting (2008)An Artificial Intelligence Approach (1994)Forecasting futures trading volume using neural networks (1995)Stock Market Prediction Using Artificial Neural Networks (2012)A Hybrid Machine Learning System For Stock Market Forecasting (2008)Deep Attentive Learning for Stock Movement Prediction From Social Media Text and Company Correlations (2020)Commodity price forecasting via neural networks for coffee, corn, cotton, oats, soybeans, soybean oil, sugar, and wheat (2022)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)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)Financial time series forecasting model based on CEEMDAN and LSTM (2018)NSE Stock Market Prediction Using Deep-Learning Models (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)An artificial neural network-GARCH model for international stock return volatility (1997)Forecasting exchange rates using general regression neural networks (2000)Multi-DQN: An ensemble of Deep Q-learning agents for stock market forecasting (2020)
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References

  • 1998Forecasting with artificial neural networks:4,225 cited
  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2004Forecasting stock market movement direction with support vector machine1,119 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 1990Stock price pattern recognition-a recurrent neural network approach255 cited
  • 1998Forecasting S&P 500 stock index futures with a hybrid AI system222 cited
  • 2002Predicting stock price performance: a neural network approach182 cited
  • 1997Stock Price Prediction Using Prior Knowledge and Neural Networks162 cited
  • 1992Trading Equity Index Futures With a Neural Network157 cited
  • 1999Improving returns on stock investment through neural network selection143 cited
  • 1996Much ado about nothing? Exchange rate forecasting: Neural networks vs. linear models using monthly and weekly data137 cited

Cited by

  • 2007Dynamically exploring internal mechanism of stock market by fuzzy-based support vector machines with high dimension input space and genetic algorithm60 cited
  • 2015Prediction of stock price movement based on daily high prices58 cited
  • 2010Trend discovery in financial time series data using a case based fuzzy decision tree

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54 cited
  • 2006CURRENCY CRISIS FORECASTING WITH GENERAL REGRESSION NEURAL NETWORKS34 cited
  • 2018Predicting Corporate Financial Sustainability Using Novel Business Analytics31 cited