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Automated Trading Point Forecasting Based on Bicluster Mining and Fuzzy Inference
16 references·0 citing·51 second hop
Automated Trading Point Forecasting Based on Bicluster Mining and Fuzzy Inference (2019)Automated Trading Point Forecasting Based…Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data (2015)Stock market trading rule bas…Maximum and minimum stock price forecasting of Brazilian power distribution companies based on artificial neural networks (2015)Maximum and minimum stock pri…A Takagi–Sugeno fuzzy model combined with a support vector regression for stock trading forecasting (2015)A Takagi–Sugeno fuzzy model c…Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil (2013)Applying Artificial Neural Ne…An adaptive network-based fuzzy inference system (ANFIS) for the forecasting: The case of close price indices (2013)An adaptive network-based fuz…A Bayesian regularized artificial neural network for stock market forecasting (2013)A Bayesian regularized artifi…Quantifying reflexivity in financial markets: Toward a prediction of flash crashes (2012)Quantifying reflexivity in fi…Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction (2012)Integrating piecewise linear …Technical analysis: the complete resource for financial market technicians (2011)Technical analysis: the compl…Intelligent stock trading system based on improved technical analysis and Echo State Network (2011)Intelligent stock trading sys…TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups (2010)TAIEX Forecasting Based on Fu…Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Forecasting stock markets usi…Automatic stock decision support system based on box theory and SVM algorithm (2009)Automatic stock decision supp…Integrating a Piecewise Linear Representation Method and a Neural Network Model for Stock Trading Points Prediction (2008)Integrating a Piecewise Linea…A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting (2008)A hybrid SOFM-SVR with a filt…Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation (2000)Foundations of Technical Anal…Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)Forecasting stock market movement direction with support vector machine (2004)A hybrid stock selection model using genetic algorithms and support vector regression (2011)A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM (2020)Artificial Intelligence Applied to Stock Market Trading: A Review (2021)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Forecasting with artificial neural networks: (1998)Chaotic characteristic identification for carbon price and an multi-layer perceptron network prediction model (2015)Predicting the direction of stock markets using optimized neural networks with Google Trends (2018)Stock Market Forecasting Using Computational Intelligence: A Survey (2020)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction (2017)Natural language based financial forecasting: a survey (2017)Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)Fuzzy sets (1965)Forecasting enrollments with fuzzy time series — Part I (1993)Fuzzy sets (1996)TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines (2013)A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression (2014)Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships (2014)Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)A local and global event sentiment based efficient stock exchange forecasting using deep learning (2019)A stock price prediction method based on deep learning technology (2021)Forecasting enrollments based on fuzzy time series (1996)GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics (2001)An Introduction to Wavelets and Other Filtering Methods in Finance and Economics (2002)Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction (2018)Combining Principal Component Analysis, Discrete Wavelet Transform and XGBoost to trade in the financial markets (2019)Systematic analysis and review of stock market prediction techniques (2019)Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test (1988)Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency (1993)The Econometrics of Financial Markets (1997)WHAT DO WE KNOW ABOUT THE PROFITABILITY OF TECHNICAL ANALYSIS? (2007)Forecasting Stock Returns (2013)Forecasting the Equity Risk Premium: The Role of Technical Indicators (2014)Do Stock Prices Move Too Much to be Justified by Subsequent Changes in Dividends? (1980)Critical reflexivity in financial markets: a Hawkes process analysis (2013)Limit theorems for nearly unstable Hawkes processes (2015)Cascading logistic regression onto gradient boosted decision trees for forecasting and trading stock indices (2019)Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control. (1978)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Wavelet Neural Network Prediction Method of Stock Price Trend Based on Rough Set Attribute Reduction (2017)Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis (2018)Advantages of direct input-to-output connections in neural networks: The Elman network for stock index forecasting (2020)Technical analysis: An asset allocation perspective on the use of moving averages☆ (2009)A novel forecasting method based on multi-order fuzzy time series and technical analysis (2016)Deep Leaming for Stock Market Prediction Using Technical Indicators and Financial News Articles (2018)
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References

  • 2000Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation1,118 cited
  • 2013A Bayesian regularized artificial neural network for stock market forecasting517 cited
  • 2010Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm399 cited
  • 2011Technical analysis: the complete resource for financial market technicians321 cited
  • 2008A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting257 cited
  • 2012Quantifying reflexivity in financial markets: Toward a prediction of flash crashes241 cited
  • 2013Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil220 cited
  • 2015Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data186 cited
  • 2010TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups177 cited
  • 2015Maximum and minimum stock price forecasting of Brazilian power distribution companies based on artificial neural networks165 cited
  • 2008Integrating a Piecewise Linear Representation Method and a Neural Network Model for Stock Trading Points Prediction135 cited
  • 2012Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction106 cited
  • 2013

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An adaptive network-based fuzzy inference system (ANFIS) for the forecasting: The case of close price indices
103 cited
  • 2011Intelligent stock trading system based on improved technical analysis and Echo State Network102 cited
  • 2009Automatic stock decision support system based on box theory and SVM algorithm102 cited
  • 2015A Takagi–Sugeno fuzzy model combined with a support vector regression for stock trading forecasting84 cited
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