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An evolutionary trend reversion model for stock trading rule discovery
16 references·1 citing·51 second hop
An evolutionary trend reversion model for stock trading rule discovery (2014)An evolutionary trend reversion model for…Stock price forecast using Bayesian network (2012)Stock price forecast using Ba…Applying a GA kernel on optimizing technical analysis rules for stock picking and portfolio composition (2011)Applying a GA kernel on optim…Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Combining multiple feature se…An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)An Adaptive Network-Based Fuz…Evolving Least Squares Support Vector Machines for Stock Market Trend Mining (2008)Evolving Least Squares Suppor…Evolving and clustering fuzzy decision tree for financial time series data forecasting (2008)Evolving and clustering fuzzy…A Hybrid System Integrating a Wavelet and TSK Fuzzy Rules for Stock Price Forecasting (2008)A Hybrid System Integrating a…Trend following: how great traders make millions in up or down markets (2005)Trend following: how great tr…Momentum and mean reversion across national equity markets (2005)Momentum and mean reversion a…A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market (2004)A comparison between Fama and…Neural network techniques for financial performance prediction: integrating fundamental and technical analysis (2003)Neural network techniques for…Using genetic algorithms to find technical trading rules (1999)Using genetic algorithms to f…The Warren Buffett Way: Investment Strategies of the World's Greatest Investor (1994)The Warren Buffett Way: Inves…The Sharpe Ratio (1994)The Sharpe RatioPerformance Measurement in a Downside Risk Framework (1994)Performance Measurement in a …Progress in Theoretical Biology (1976)Progress in Theoretical Biolo…Challenges and Trends for the Incorporation of Big Data in the Accounting Profession: From the Traditional Approach to the Future Professional Accountant (2020)Challenges and Trends for the…Dividend yields and expected stock returns (1988)Business conditions and expected returns on stocks and bonds (1989)Common risk factors in the returns on stocks and bonds (1993)A new accuracy measure based on bounded relative error for time series forecasting (2017)Systematic analysis and review of stock market prediction techniques (2019)Stock market movement forecast: A Systematic review (2020)Mutual Fund Performance (1966)Modern Portfolio Theory and Investment Analysis. 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(1971)Time Series Analysis: Forecasting and Control (1977)An SVM-based approach for stock market trend prediction (2013)Developing a deep learning framework with two-stage feature selection for multivariate financial time series forecasting (2020)Machine Learning Stock Market Prediction Studies: Review and Research Directions (2020)BUSINESS RESEARCH METHODS (PHƯƠNG PHÁP NGHIÊN CỨU TRONG KINH DOANH) (2023)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Expected stock returns and volatility (1987)An Anatomy of Trading Strategies (1998)Chapter 24 Agent-based Computational Finance (2006)WHAT DO WE KNOW ABOUT THE PROFITABILITY OF TECHNICAL ANALYSIS? (2007)A Brief History of Downside Risk Measures (1999)Portfolio Performance Evaluation with Generalized Sharpe Ratios: Beyond the Mean and Variance (2008)Portfolio selection with higher moments (2010)The Statistics of Sharpe Ratios (2002)An econometric model of serial correlation and illiquidity in hedge fund returns (2004)Deep Direct Reinforcement Learning for Financial Signal Representation and Trading (2016)
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References

  • 1994The Sharpe Ratio2,542 cited
  • 1994Performance Measurement in a Downside Risk Framework899 cited
  • 1999Using genetic algorithms to find technical trading rules855 cited
  • 2010An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange426 cited
  • 2003Neural network techniques for financial performance prediction: integrating fundamental and technical analysis380 cited
  • 2010Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches378 cited
  • 2004A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market220 cited
  • 2008Evolving Least Squares Support Vector Machines for Stock Market Trend Mining218 cited
  • 2005Momentum and mean reversion across national equity markets172 cited
  • 2008Evolving and clustering fuzzy decision tree for financial time series data forecasting156 cited
  • 2008A Hybrid System Integrating a Wavelet and TSK Fuzzy Rules for Stock Price Forecasting117 cited
  • 2012Stock price forecast using Bayesian network100 cited
  • 2011Applying a GA kernel on optimizing technical analysis rules for stock picking and portfolio composition95 cited
  • 2005Trend following: how great traders make millions in up or down markets

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68 cited
  • 1976Progress in Theoretical Biology60 cited
  • 1994The Warren Buffett Way: Investment Strategies of the World's Greatest Investor60 cited
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    • 2020Challenges and Trends for the Incorporation of Big Data in the Accounting Profession: From the Traditional Approach to the Future Professional Accountant5 cited