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Feature Selection for Stock Market Analysis
8 references·1 citing·32 second hop
Feature Selection for Stock Market Analysis (2013)Feature Selection for Stock Market Analys…Neural Networks and Wavelet De-Noising for Stock Trading and Prediction (2012)Neural Networks and Wavelet D…Stock Forecasting with Feedforward Neural Networks and Gradual Data Sub-Sampling (2010)Stock Forecasting with Feedfo…Intelligent trading using support vector regression and multilayer perceptrons optimized with genetic algorithms (2010)Intelligent trading using sup…Principle Component Analysis (2004)Principle Component AnalysisRandom Walks in Stock Market Prices (1995)Random Walks in Stock Market …Market Statistics and Technical Analysis: The Role of Volume (1994)Market Statistics and Technic…Random Walks in Stock Market Prices (1965)Random Walks in Stock Market …STOCK‐MARKET “PATTERNS” AND FINANCIAL ANALYSIS: METHODOLOGICAL SUGGESTIONS (1959)STOCK‐MARKET “PATTERNS” AND F…Stock market trend prediction using AHP and weighted kernel LS-SVM (2016)Stock market trend prediction…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)Differences of Opinion Make a Horse Race (1993)Price Momentum and Trading Volume (2000)Learning to Be Overconfident (2001)The Behavior of Stock-Market Prices (1965)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Support vector machine with adaptive parameters in financial time series forecasting (2003)One-step and multi-step ahead stock prediction using backpropagation neural networks (2013)Improving the genetic-algorithm-optimized wavelet neural network for stock market prediction (2014)Event-Driven LSTM For Forex Price Prediction (2020)The Adjustment of Stock Prices to New Information (1969)Does the Stock Market Overreact? (1985)The Adjustment of Stock Prices to New Information (2003)MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction (2023)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Risk Aversion and Expected-utility Theory: A Calibration Theorem (2000)Intraday Market Predictability: A Machine Learning Approach (2020)SVR-DEA model of carbon tax pricing for China's thermal power industry (2020)Share Price Prediction of Aerospace Relevant Companies with Recurrent Neural Networks based on PCA (2021)A Random Walk Down Wall Street (1973)Effective forecasting of stock market price by using extreme learning machine optimized by PSO-based group oriented crow search algorithm (2021)Price Movements in Speculative Markets : Trends or Random Walks (1961)The Random Character of Stock Market Prices (1968)Middle‐Status Conformity: Theoretical Restatement and Empirical Demonstration in Two Markets (2001)Marketing and Firm Value: Metrics, Methods, Findings, and Future Directions (2009)The Categorical Imperative: Securities Analysts and the Illegitimacy Discount (1999)Cognitive development of fluent word reading does not qualitatively differ between transparent and opaque orthographies. (2010)Factors Associated with Symptoms of Depression Among Bhutanese Refugees in the United States (2014)Financial ratio selection for business failure prediction using soft set theory (2014)
this work references cited by second hop

References

  • 1995Random Walks in Stock Market Prices1,304 cited
  • 1994Market Statistics and Technical Analysis: The Role of Volume1,105 cited
  • 1965Random Walks in Stock Market Prices939 cited
  • 2004Principle Component Analysis492 cited
  • 1959STOCK‐MARKET “PATTERNS” AND FINANCIAL ANALYSIS: METHODOLOGICAL SUGGESTIONS374 cited
  • 2010Intelligent trading using support vector regression and multilayer perceptrons optimized with genetic algorithms76 cited
  • 2010Stock Forecasting with Feedforward Neural Networks and Gradual Data Sub-Sampling53 cited
  • 2012Neural Networks and Wavelet De-Noising for Stock Trading and Prediction34 cited

Cited by

  • 2016Stock market trend prediction using AHP and weighted kernel LS-SVM33 cited

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