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An intelligent pattern recognition model for supporting investment decisions in stock market
16 references·12 citing·46 second hop
An intelligent pattern recognition model for supporting investment decisions in stock market (2016)An intelligent pattern recognition model …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…Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures (2015)Fuzzy time series forecasting…A Naïve SVM-KNN based stock market trend reversal analysis for Indian benchmark indices (2015)A Naïve SVM-KNN based stock m…A hybrid fuzzy time series model based on granular computing for stock price forecasting (2014)A hybrid fuzzy time series mo…Hybridization of evolutionary Levenberg–Marquardt neural networks and data pre-processing for stock market prediction (2012)Hybridization of evolutionary…Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm (2010)Forecasting stock indices usi…A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting (2010)A hybrid model based on rough…Forecasting stock market movement direction with support vector machine (2004)Forecasting stock market move…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…Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation (2000)Foundations of Technical Anal…Technical analysis of stock trends (1997)Technical analysis of stock t…Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach (1997)Is Technical Analysis in the …Market Statistics and Technical Analysis: The Role of Volume (1994)Market Statistics and Technic…Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Simple Technical Trading Rule…Naive Trading Rules in Financial Markets and Wiener-Kolmogorov Prediction Theory: A Study of "Technical Analysis" (1991)Naive Trading Rules in Financ…The evaluation of bankruptcy prediction models based on socio-economic costs (2023)The evaluation of bankruptcy …Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction (2022)Chart GCN: Learning chart inf…Forecasting stock price by hybrid model of cascading Multivariate Adaptive Regression Splines and Deep Neural Network (2021)Forecasting stock price by hy…Portfolio management via two-stage deep learning with a joint cost (2019)Portfolio management via two-…Automatic detection of relationships between banking operations using machine learning (2019)Automatic detection of relati…Pattern Matching Trading System Based on the Dynamic Time Warping Algorithm (2018)Pattern Matching Trading Syst…Integrating principle component analysis and weighted support vector machine for stock trading signals prediction (2018)Integrating principle compone…Building direct citation networks (2018)Building direct citation netw…A dynamic trading rule based on filtered flag pattern recognition for stock market price forecasting (2017)A dynamic trading rule based …Evolving trading strategies using directional changes (2016)Evolving trading strategies u…Developing a rule change trading system for the futures market using rough set analysis (2016)Developing a rule change trad…An ICA-based support vector regression scheme for forecasting crude oil prices (2016)An ICA-based support vector r…On the Impossibility of Informationally Efficient Markets (1980)On the Impossibility of Informationally Efficient Markets (1980)The Relation Between Price Changes and Trading Volume: A Survey (1987)Option Volume and Stock Prices: Evidence on Where Informed Traders Trade (1998)Data‐Snooping, Technical Trading Rule Performance, and the Bootstrap (1999)Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression (2014)Hybrid Variational Mode Decomposition and evolutionary robust kernel extreme learning machine for stock price and movement prediction on daily basis (2018)Fine-tuned support vector regression model for stock predictions (2021)Efficient Capital Markets: II (1991)Forecasting with artificial neural networks: (1998)A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets (1999)A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets (2006)Applying Artificial Neural Networks to prediction of stock price and improvement of the directional prediction index – Case study of PETR4, Petrobras, Brazil (2013)Deep learning for stock market prediction from financial news articles (2017)The Cross-Section of Expected Stock Returns (1992)Application of support vector machines in financial time series forecasting (2001)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Neural Network Models for Time Series Forecasts (1996)Forecasting tourism demand based on empirical mode decomposition and neural network (2011)Stock prediction using deep learning (2016)Systematic analysis and review of stock market prediction techniques (2019)The Behavior of Stock-Market Prices (1965)Does the Stock Market Overreact? (1985)Conditional Heteroskedasticity in Asset Returns: A New Approach (1991)Market underreaction to open market share repurchases (1995)Do Investors Trade Too Much? (1999)Improved Methods for Tests of Long‐Run Abnormal Stock Returns (1999)The use of technical analysis in the foreign exchange market (1992)Chapter 24 Agent-based Computational Finance (2006)WHAT DO WE KNOW ABOUT THE PROFITABILITY OF TECHNICAL ANALYSIS? (2007)Currency momentum strategies (2012)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)Forecasting Stock Returns (2013)Forecasting the Equity Risk Premium: The Role of Technical Indicators (2014)Decision making in stock trading: An application of PROMETHEE (2006)Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009)Fractals and Intrinsic Time - a Challenge to Econometricians (1995)Technical analysis and the London stock exchange: testing the MACD and RSI rules using the FT30 (2008)Technical trading revisited: False discoveries, persistence tests, and transaction costs (2012)
this work references cited by second hop

References

  • 1992Simple Technical Trading Rules and the Stochastic Properties of Stock Returns2,298 cited
  • 2004Forecasting stock market movement direction with support vector machine1,119 cited
  • 2000Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation1,118 cited
  • 1994Market Statistics and Technical Analysis: The Role of Volume1,105 cited
  • 1997Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach641 cited
  • 2010Forecasting stock indices using radial basis function neural networks optimized by artificial fish swarm algorithm400 cited
  • 1997Technical analysis of stock trends361 cited
  • 2002Forecasting the NYSE composite index with technical analysis, pattern recognizer, neural network, and genetic algorithm: a case study in romantic decision support277 cited
  • 1991Naive Trading Rules in Financial Markets and Wiener-Kolmogorov Prediction Theory: A Study of "Technical Analysis"270 cited
  • 2014A hybrid fuzzy time series model based on granular computing for stock price forecasting228 cited
  • 2015Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures222 cited
  • 2010A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting212 cited
  • 2012Hybridization of evolutionary Levenberg–Marquardt neural networks and data pre-processing for stock market prediction

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201 cited
  • 2015Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data186 cited
  • 2015A Naïve SVM-KNN based stock market trend reversal analysis for Indian benchmark indices166 cited
  • 2015Maximum and minimum stock price forecasting of Brazilian power distribution companies based on artificial neural networks165 cited
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    • 2018Integrating principle component analysis and weighted support vector machine for stock trading signals prediction80 cited
    • 2019Automatic detection of relationships between banking operations using machine learning58 cited
    • 2016Evolving trading strategies using directional changes54 cited
    • 2016Developing a rule change trading system for the futures market using rough set analysis49 cited
    • 2022Chart GCN: Learning chart information with a graph convolutional network for stock movement prediction48 cited
    • 2018Pattern Matching Trading System Based on the Dynamic Time Warping Algorithm46 cited
    • 2019Portfolio management via two-stage deep learning with a joint cost46 cited
    • 2021Forecasting stock price by hybrid model of cascading Multivariate Adaptive Regression Splines and Deep Neural Network46 cited
    • 2023The evaluation of bankruptcy prediction models based on socio-economic costs44 cited
    • 2018Building direct citation networks15 cited