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A Hybrid Neurogenetic Approach for Stock Forecasting
16 references·16 citing·34 second hopsampled
A Hybrid Neurogenetic Approach for Stock Forecasting (2007)A Hybrid Neurogenetic Approach for Stock …Trading Systems and Methods (2012)Trading Systems and MethodsSupport vector machine with adaptive parameters in financial time series forecasting (2003)Support vector machine with a…Predicting stock price performance: a neural network approach (2002)Predicting stock price perfor…Genetic Programming Prediction of Stock Prices (2000)Genetic Programming Predictio…Using genetic algorithms to find technical trading rules (1999)Using genetic algorithms to f…Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks (1998)Comparative study of stock tr…Designing a neural network for forecasting financial and economic time series (1996)Designing a neural network fo…The profitability of technical trading rules in the Asian stock markets (1995)The profitability of technica…Stock performance modeling using neural networks: A comparative study with regression models (1994)Stock performance modeling us…Some New Filter Rule Tests: Methods and Results (1988)Some New Filter Rule Tests: M…EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)EFFICIENT CAPITAL MARKETS: A …Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Efficient Capital Markets: A …The Random Character of Stock Market Prices (1968)The Random Character of Stock…Filter Rules and Stock-Market Trading (1966)Filter Rules and Stock-Market…The Random Character of Stock Market Prices. (1965)The Random Character of Stock…Price Movements in Speculative Markets : Trends or Random Walks (1961)Price Movements in Speculativ…ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement (2021)ST-Trader: A Spatial-Temporal…Feature selection and deep neural networks for stock price direction forecasting using technical analysis indicators (2021)Feature selection and deep ne…Leveraging social media news to predict stock index movement using RNN-boost (2018)Leveraging social media news …Automated trading systems statistical and machine learning methods and hardware implementation: a survey (2018)Automated trading systems sta…A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters (2017)A Deep Neural-Network Based S…Generalized exponential moving average (EMA) model with particle filtering and anomaly detection (2016)Generalized exponential movin…Financial Time-Series Data Analysis Using Deep Convolutional Neural Networks (2016)Financial Time-Series Data An…Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms—Support vector regression forecast combinations (2015)Modeling, forecasting and tra…A Takagi–Sugeno fuzzy model combined with a support vector regression for stock trading forecasting (2015)A Takagi–Sugeno fuzzy model c…Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction (2012)Integrating piecewise linear …CAST: Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator (2011)CAST: Using neural networks t…Application of type-2 neuro-fuzzy modeling in stock price prediction (2011)Application of type-2 neuro-f…A method for automatic stock trading combining technical analysis and nearest neighbor classification (2010)A method for automatic stock …Automatic stock decision support system based on box theory and SVM algorithm (2009)Automatic stock decision supp…Trend Time–Series Modeling and Forecasting With Neural Networks (2008)Trend Time–Series Modeling an…Integrating a Piecewise Linear Representation Method and a Neural Network Model for Stock Trading Points Prediction (2008)Integrating a Piecewise Linea…The Behavior of Stock-Market Prices (1965)An Anatomy of Trading Strategies (1998)The illusory nature of momentum profits (2003)Estimating betas from nonsynchronous data (1977)Permanent and Temporary Components of Stock Prices (1988)Efficient Capital Markets: II (1991)Market Efficiency and the Returns to Technical Analysis (1998)Tests of technical trading strategies in the emerging equity markets of Latin America and Asia (1999)Generating trading rules on the stock markets with genetic programming (2003)A neural network model for bankruptcy prediction (1990)Predicting the Price of Bitcoin Using Machine Learning (2018)Forecasting: theory and practice (2022)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets (1965)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)Theory of the firm: Managerial behavior, agency costs and ownership structure (1976)Users of the world, unite! The challenges and opportunities of Social Media (2009)Expected stock returns and volatility (1987)Chapter 24 Agent-based Computational Finance (2006)WHAT DO WE KNOW ABOUT THE PROFITABILITY OF TECHNICAL ANALYSIS? (2007)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Recognizing Financial Distress Patterns Using a Neural Network Tool (1993)An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)Forecasting daily stock market return using dimensionality reduction (2016)Deep learning for financial applications : A survey (2020)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using independent component analysis and support vector regression (2009)Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Financial time series forecasting with multi-modality graph neural network (2021)Optimal rules for ordering uncertain prospects (1975)Hyperbolic Distributions in Finance (1995)Fractional calculus and continuous-time finance (2000)Forecasting Stock Returns (2013)Rational Theory of Warrant Pricing (2015)
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References

  • 1970EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*15,723 cited
  • 1970Efficient Capital Markets: A Review of Theory and Empirical Work13,616 cited
  • 1996Designing a neural network for forecasting financial and economic time series1,092 cited
  • 2003Support vector machine with adaptive parameters in financial time series forecasting1,008 cited
  • 1968The Random Character of Stock Market Prices926 cited
  • 1999Using genetic algorithms to find technical trading rules855 cited
  • 1966Filter Rules and Stock-Market Trading832 cited
  • 1961Price Movements in Speculative Markets : Trends or Random Walks645 cited
  • 1998Comparative study of stock trend prediction using time delay, recurrent and probabilistic neural networks537 cited
  • 1995The profitability of technical trading rules in the Asian stock markets324 cited
  • 1994Stock performance modeling using neural networks: A comparative study with regression models319 cited
  • 1965The Random Character of Stock Market Prices.266 cited
  • 1988Some New Filter Rule Tests: Methods and Results240 cited
  • 2002Predicting stock price performance: a neural network approach182 cited
  • 2000Genetic Programming Prediction of Stock Prices

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175 cited
  • 2012Trading Systems and Methods152 cited
  • Cited by

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    • 2008Integrating a Piecewise Linear Representation Method and a Neural Network Model for Stock Trading Points Prediction135 cited
    • 2017A Deep Neural-Network Based Stock Trading System Based on Evolutionary Optimized Technical Analysis Parameters118 cited
    • 2018Leveraging social media news to predict stock index movement using RNN-boost113 cited
    • 2012Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction106 cited
    • 2015Modeling, forecasting and trading the EUR exchange rates with hybrid rolling genetic algorithms—Support vector regression forecast combinations104 cited
    • 2021ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement104 cited
    • 2009Automatic stock decision support system based on box theory and SVM algorithm102 cited
    • 2011CAST: Using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator100 cited
    • 2016Generalized exponential moving average (EMA) model with particle filtering and anomaly detection91 cited
    • 2015A Takagi–Sugeno fuzzy model combined with a support vector regression for stock trading forecasting84 cited
    • 2011Application of type-2 neuro-fuzzy modeling in stock price prediction81 cited
    • 2021Feature selection and deep neural networks for stock price direction forecasting using technical analysis indicators80 cited