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Modeling Chaotic Behavior of Stock Indices Using Intelligent Paradigms
11 references·4 citing·49 second hop
Modeling Chaotic Behavior of Stock Indices Using Intelligent Paradigms (2004)Modeling Chaotic Behavior of Stock Indice…Stock market trading rule discovery using technical charting heuristics (2002)Stock market trading rule dis…Modified support vector machines in financial time series forecasting (2002)Modified support vector machi…Mining stock price using fuzzy rough set system (2002)Mining stock price using fuzz…Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support (2002)Forecasting the NYSE composit…Daily stock market forecast from textual web data (2002)Daily stock market forecast f…Analyzing stock market tick data using piecewise nonlinear model (2002)Analyzing stock market tick d…Hybrid Intelligent Systems for Stock Market Analysis (2001)Hybrid Intelligent Systems fo…Empirical regularities from interacting long- and short-memory investors in an agent-based stock market (2001)Empirical regularities from i…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…Designing personalized intelligent financial decision support systems (1999)Designing personalized intell…From an artificial neural network to a stock market day-trading system: A case study on the BM&F BOVESPA (2009)From an artificial neural net…Stock Market Modeling Using Genetic Programming Ensembles (2006)Stock Market Modeling Using G…Stock Index Modeling using EDA based Local Linear Wavelet Neural Network (2006)Stock Index Modeling using ED…Real stock trading using soft computing models (2005)Real stock trading using soft…Bond rating: A non-conservative application of neural networks (1988)A neural network model for bankruptcy prediction (1990)Neural Networks: A New Tool for 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(2020)A hybrid model for stock market forecasting and portfolio selection based on ARX, grey system and RS theories (2008)Evolving and clustering fuzzy decision tree for financial time series data forecasting (2008)Financial time series forecasting with machine learning techniques: A survey (2010)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)A novel text mining approach to financial time series forecasting (2011)Web Media and Stock Markets : A Survey and Future Directions from a Big Data Perspective (2017)Financial news-based stock movement prediction using causality analysis of influence in the Korean stock market (2018)
this work references cited by second hop

References

  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 2002Modified support vector machines in financial time series forecasting372 cited
  • 2002Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support277 cited
  • 2001Hybrid Intelligent Systems for Stock Market Analysis176 cited
  • 2002Mining stock price using fuzzy rough set system172 cited
  • 2002Daily stock market forecast from textual web data163 cited
  • 1999Improving returns on stock investment through neural network selection143 cited
  • 2002Stock market trading rule discovery using technical charting heuristics131 cited
  • 2001Empirical regularities from interacting long- and short-memory investors in an agent-based stock market129 cited
  • 2002Analyzing stock market tick data using piecewise nonlinear model113 cited
  • 1999Designing personalized intelligent financial decision support systems52 cited

Cited by

  • 2006Stock Market Modeling Using Genetic Programming Ensembles54 cited
  • 2009From an artificial neural network to a stock market day-trading system: A case study on the BM&F BOVESPA49 cited
  • 2006Stock Index Modeling using EDA based Local Linear Wavelet Neural Network

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48 cited
  • 2005Real stock trading using soft computing models40 cited