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HYBRID FUZZY NEURAL NETWORK TO PREDICT PRICE DIRECTION IN THE GERMAN DAX-30 INDEX
16 references·2 citing·41 second hop
HYBRID FUZZY NEURAL NETWORK TO PREDICT PRICE DIRECTION IN THE GERMAN DAX-30 INDEX (2018)HYBRID FUZZY NEURAL NETWORK TO PREDICT PR…A literature review of technical analysis on stock markets (2017)A literature review of techni…A dynamic trading rule based on filtered flag pattern recognition for stock market price forecasting (2017)A dynamic trading rule based …Stock market index prediction using artificial neural network (2016)Stock market index prediction…Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model (2016)Predicting the Direction of S…Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data (2015)Stock market trading rule bas…Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction (2015)Integrating metaheuristics an…THE EVOLUTION OF STOCK MARKET EFFICIENCY OVER TIME: A SURVEY OF THE EMPIRICAL LITERATURE (2010)THE EVOLUTION OF STOCK MARKET…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…Profitability of technical stock trading: Has it moved from daily to intraday data? (2008)Profitability of technical st…Forecasting the volatility of stock price index (2006)Forecasting the volatility of…Financial time series forecasting using support vector machines (2003)Financial time series forecas…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Forecasting stock indices: a comparison of classification and level estimation models (2000)Forecasting stock indices: a …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 …Fuzzy sets (1965)Fuzzy setsThe Predictability of the Exchange Rate When Combining Machine Learning and Fundamental Models (2020)The Predictability of the Exc…MULTIOBJECTIVE APPROACH TO PORTFOLIO OPTIMIZATION IN THE LIGHT OF THE CREDIBILITY THEORY (2020)MULTIOBJECTIVE APPROACH TO PO…A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)An Evolutionary Theory of Economic Change. 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(1985)The Cross-Section of Expected Stock Returns (1992)Common risk factors in the returns on stocks and bonds (1993)Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009)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)Financial time series forecasting model based on CEEMDAN and LSTM (2018)NSE Stock Market Prediction Using Deep-Learning Models (2018)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)
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References

  • 1965Fuzzy sets67,827 cited
  • 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
  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange880 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 2000Forecasting stock indices: a comparison of classification and level estimation models428 cited
  • 2010THE EVOLUTION OF STOCK MARKET EFFICIENCY OVER TIME: A SURVEY OF THE EMPIRICAL LITERATURE408 cited
  • 2016Stock market index prediction using artificial neural network396 cited
  • 2015Integrating metaheuristics and Artificial Neural Networks for improved stock price prediction324 cited
  • 2016Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model263 cited
  • 2006Forecasting the volatility of stock price index236 cited
  • 2017A literature review of technical analysis on stock markets193 cited
  • 2015Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data

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186 cited
  • 2008Profitability of technical stock trading: Has it moved from daily to intraday data?124 cited
  • 2017A dynamic trading rule based on filtered flag pattern recognition for stock market price forecasting96 cited
  • Cited by

    • 2020The Predictability of the Exchange Rate When Combining Machine Learning and Fundamental Models46 cited
    • 2020MULTIOBJECTIVE APPROACH TO PORTFOLIO OPTIMIZATION IN THE LIGHT OF THE CREDIBILITY THEORY44 cited