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A novel technical analysis-based method for stock market forecasting
14 references·2 citing·47 second hop
A novel technical analysis-based method for stock market forecasting (2016)A novel technical analysis-based method f…Financial time series forecasting using LPP and SVM optimized by PSO (2012)Financial time series forecas…Technical analysis: the complete resource for financial market technicians (2011)Technical analysis: the compl…Applying a GA kernel on optimizing technical analysis rules for stock picking and portfolio composition (2011)Applying a GA kernel on optim…Tax forecasting theory and model based on SVM optimized by PSO (2010)Tax forecasting theory and mo…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…Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Combining multiple feature se…Financial time series forecasting using independent component analysis and support vector regression (2009)Financial time series forecas…Evolving and clustering fuzzy decision tree for financial time series data forecasting (2008)Evolving and clustering fuzzy…A neural network with a case based dynamic window for stock trading prediction (2008)A neural network with a case …A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting (2008)A hybrid SOFM-SVR with a filt…Adaptive use of technical indicators for the prediction of intra-day stock prices (2007)Adaptive use of technical ind…Intelligent technical analysis based equivolume charting for stock trading using neural networks (2006)Intelligent technical analysi…Stock Market Forecasting: Artificial Neural Network and Linear Regression Comparison in An Emerging Market (2005)Stock Market Forecasting: Art…Mining Stock Market Tendency Using GA-Based Support Vector Machines (2005)Mining Stock Market Tendency …Behavioral finance factors and investment decisions: A mediating role of risk perception (2023)Behavioral finance factors an…Application of online multitask learning based on least squares support vector regression in the financial market (2022)Application of online multita…Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Forecasting enrollments based on fuzzy time series (1996)Financial time series prediction by a random data-time effective RBF neural network (2013)RETRACTED ARTICLE: Grey Wolf optimization-Elman neural network model for stock price prediction (2020)A Novel Ensemble Learning Approach for Stock Market Prediction Based on Sentiment Analysis and the Sliding Window Method (2022)Financial time series forecasting using support vector machines (2003)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Applications of deep learning in stock market prediction: Recent progress (2021)Application of support vector machines in financial time series forecasting (2001)Grey system theory-based models in time series prediction (2009)Predicting stock market index using fusion of machine learning techniques (2014)Book Review: Time Series Analysis: Forecasting and Control (1977)Comparing Predictive Accuracy (1994)Forecasting with artificial neural networks: (1998)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Machine learning techniques and data for stock market forecasting: A literature review (2022)A Random Walk Down Wall Street (1973)Simple Technical Trading Rules and the Stochastic Properties of Stock Returns (1992)Price Momentum and Trading Volume (2000)A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems (2010)Forecasting daily stock market return using dimensionality reduction (2016)Generalized autoregressive conditional heteroskedasticity (1986)Common risk factors in the returns on stocks and bonds (1993)Using artificial neural network models in stock market index prediction (2011)The Econometrics of Financial Markets (2012)Literature review: Machine learning techniques applied to financial market prediction (2019)Random Walks in Stock Market Prices (1995)Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation (2000)A systematic review of fundamental and technical analysis of stock market predictions (2019)Fuzzy sets (1965)Fuzzy sets (1996)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Evaluating multiple classifiers for stock price direction prediction (2015)Market efficiency, long-term returns, and behavioral finance1The comments of Brad Barber, David Hirshleifer, S.P. Kothari, Owen Lamont, Mark Mitchell, Hersh Shefrin, Robert Shiller, Rex Sinquefield, Richard Thaler, Theo Vermaelen, Robert Vishny, Ivo Welch, and a referee have been helpful. Kenneth French and Jay Ritter get special thanks.1 (1998)How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM (2019)Purposive sampling: complex or simple? Research case examples (2020)Global Financial Market Integration: A Literature Survey (2023)The Investment Puzzle: Unveiling Behavioral Finance, Risk Perception, and Financial Literacy (2024)Behavioral biases and Fintech adoption: Investigating the role of financial literacy (2025)Technical analysis: An asset allocation perspective on the use of moving averages☆ (2009)Stock market's price movement prediction with LSTM neural networks (2017)Deep Leaming for Stock Market Prediction Using Technical Indicators and Financial News Articles (2018)
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References

  • 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange892 cited
  • 2009Financial time series forecasting using independent component analysis and support vector regression538 cited
  • 2010Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches391 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
  • 2008A neural network with a case based dynamic window for stock trading prediction160 cited
  • 2008Evolving and clustering fuzzy decision tree for financial time series data forecasting156 cited
  • 2006Intelligent technical analysis based equivolume charting for stock trading using neural networks125 cited
  • 2012Financial time series forecasting using LPP and SVM optimized by PSO95 cited
  • 2011Applying a GA kernel on optimizing technical analysis rules for stock picking and portfolio composition95 cited
  • 2007Adaptive use of technical indicators for the prediction of intra-day stock prices73 cited
  • 2005Mining Stock Market Tendency Using GA-Based Support Vector Machines67 cited
  • 2010Tax forecasting theory and model based on SVM optimized by PSO65 cited

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2005
Stock Market Forecasting: Artificial Neural Network and Linear Regression Comparison in An Emerging Market
65 cited

Cited by

  • 2023Behavioral finance factors and investment decisions: A mediating role of risk perception324 cited
  • 2022Application of online multitask learning based on least squares support vector regression in the financial market26 cited