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Wrapper ANFIS-ICA method to do stock market timing and feature selection on the basis of Japanese Candlestick
16 references·5 citing·51 second hop
Wrapper ANFIS-ICA method to do stock market timing and feature selection on the basis of Japanese Candlestick (2015)Wrapper ANFIS-ICA method to do stock mark…Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data (2015)Stock market trading rule bas…A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price (2015)A bat-neural network multi-ag…Predicting stock market index using fusion of machine learning techniques (2014)Predicting stock market index…Financial forecasting using ANFIS networks with Quantum-behaved Particle Swarm Optimization (2014)Financial forecasting using A…Hybridization of evolutionary Levenberg–Marquardt neural networks and data pre-processing for stock market prediction (2012)Hybridization of evolutionary…The use of technical analysis by fund managers: International evidence (2010)The use of technical analysis…Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Combining multiple feature se…Technical analysis: An asset allocation perspective on the use of moving averages☆ (2009)Technical analysis: An asset …Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…Development and performance evaluation of FLANN based model for forecasting of stock markets (2008)Development and performance e…A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting (2008)A hybrid SOFM-SVR with a filt…Application of wrapper approach and composite classifier to the stock trend prediction (2007)Application of wrapper approa…A TSK type fuzzy rule based system for stock price prediction (2006)A TSK type fuzzy rule based s…Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters (2005)Bankruptcy prediction using s…Expert system for predicting stock market timing using a candlestick chart (1999)Expert system for predicting …A neural network approach to mutual fund net asset value forecasting (1996)A neural network approach to …Stock prediction based on bidirectional gated recurrent unit with convolutional neural network and feature selection (2022)Stock prediction based on bid…A developed stock price forecasting model using support vector machine combined with metaheuristic algorithms (2022)A developed stock price forec…A novel hybrid model based on recurrent neural networks for stock market timing (2020)A novel hybrid model based on…Index tracking optimization with cardinality constraint: a performance comparison of genetic algorithms and tabu search heuristics (2017)Index tracking optimization w…Developing a rule change trading system for the futures market using rough set analysis (2016)Developing a rule change trad…Efficient Capital Markets: A Review of Theory and Empirical Work (1970)On the Impossibility of Informationally Efficient Markets (1980)Noise Trader Risk in Financial Markets (1990)A Multiple Lender Approach to Understanding Supply and Search in the Equity Lending Market (2011)A literature review of technical analysis on stock markets (2017)(Re‐)Imag(in)ing Price Trends (2023)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Brownian Motion and Stochastic Calculus (2007)The Econometrics of Financial Markets (2012)Sparse Signals in the Cross‐Section of Returns (2018)Crude oil time series prediction model based on LSTM network with chaotic Henry gas solubility optimization (2021)Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions (2021)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)Using artificial neural network models in stock market index prediction (2011)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Generalized autoregressive conditional heteroskedasticity (1986)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Sentiment analysis on social media for stock movement prediction (2015)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)A systematic review of fundamental and technical analysis of stock market predictions (2019)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using support vector machines (2003)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)Random Walks in Stock Market Prices (1995)Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation (2000)Predicting short-term stock prices using ensemble methods and online data sources (2018)Evaluation of Tree-Based Ensemble Machine Learning Models in Predicting Stock Price Direction of Movement (2020)Stock market index prediction using deep Transformer model (2022)Fuzzy sets (1965)Fuzzy sets (1996)Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Financial time series prediction using a dendritic neuron model (2016)Deep learning-based exchange rate prediction during the COVID-19 pandemic (2021)Fine-tuned support vector regression model for stock predictions (2021)Financial Ratios As Predictors of Failure (1966)FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY (1968)Financial Ratios and the Probabilistic Prediction of Bankruptcy (1980)Using neural network ensembles for bankruptcy prediction and credit scoring (2007)Consumer credit-risk models via machine-learning algorithms (2010)A boosted decision tree approach using Bayesian hyper-parameter optimization for credit scoring (2017)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)A hybrid intelligent fuzzy predictive model with simulation for supplier evaluation and selection (2016)Stock market prediction system with modular neural networks (1990)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)A multiple-kernel support vector regression approach for stock market price forecasting (2010)Stock Market 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this work references cited by second hop

References

  • 2005Bankruptcy prediction using support vector machine with optimal choice of kernel function parameters872 cited
  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods841 cited
  • 2014Predicting stock market index using fusion of machine learning techniques608 cited
  • 2010Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches378 cited
  • 2006A TSK type fuzzy rule based system for stock price prediction319 cited
  • 2010The use of technical analysis by fund managers: International evidence302 cited
  • 2009Technical analysis: An asset allocation perspective on the use of moving averages☆289 cited
  • 2008A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting257 cited
  • 2014Financial forecasting using ANFIS networks with Quantum-behaved Particle Swarm Optimization202 cited
  • 2012Hybridization of evolutionary Levenberg–Marquardt neural networks and data pre-processing for stock market prediction201 cited
  • 2015Stock market trading rule based on pattern recognition and technical analysis: Forecasting the DJIA index with intraday data186 cited
  • 2015A bat-neural network multi-agent system (BNNMAS) for stock price prediction: Case study of DAX stock price175 cited
  • 1996A neural network approach to mutual fund net asset value forecasting171 cited

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2007
Application of wrapper approach and composite classifier to the stock trend prediction
167 cited
  • 2008Development and performance evaluation of FLANN based model for forecasting of stock markets166 cited
  • 1999Expert system for predicting stock market timing using a candlestick chart165 cited
  • Cited by

    • 2022A developed stock price forecasting model using support vector machine combined with metaheuristic algorithms49 cited
    • 2016Developing a rule change trading system for the futures market using rough set analysis49 cited
    • 2017Index tracking optimization with cardinality constraint: a performance comparison of genetic algorithms and tabu search heuristics48 cited
    • 2020A novel hybrid model based on recurrent neural networks for stock market timing38 cited
    • 2022Stock prediction based on bidirectional gated recurrent unit with convolutional neural network and feature selection35 cited