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Improving the integration of piece wise linear representation and weighted support vector machine for stock trading signal prediction
6 references·3 citing·37 second hop
Improving the integration of piece wise linear representation and weighted support vector machine for stock trading signal prediction (2017)Improving the integration of piece wise l…Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Predicting stock and stock pr…Integrating piecewise linear representation and weighted support vector machine for stock trading signal prediction (2012)Integrating piecewise linear …A dynamic threshold decision system for stock trading signal detection (2011)A dynamic threshold decision …Integrating a Piecewise Linear Representation Method and a Neural Network Model for Stock Trading Points Prediction (2008)Integrating a Piecewise Linea…A Hybrid Neurogenetic Approach for Stock Forecasting (2007)A Hybrid Neurogenetic Approac…Support vector machine with adaptive parameters in financial time series forecasting (2003)Support vector machine with a…Multivariate Realized Volatility Forecasting with Graph Neural Network (2022)Multivariate Realized Volatil…A new LSTM based reversal point prediction method using upward/downward reversal point feature sets (2019)A new LSTM based reversal poi…High-Frequency Stock Trend Forecast Using LSTM Model (2018)High-Frequency Stock Trend Fo…EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Financial time series forecasting using support vector machines (2003)Forecasting stock market movement direction with support vector machine (2004)Evaluating multiple classifiers for stock price direction prediction (2015)Sentiment analysis on social media for stock movement prediction (2015)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Filter Rules and Stock-Market Trading (1966)Using genetic algorithms to find technical trading rules (1999)A dynamic trading rule based on filtered flag pattern recognition for stock market price forecasting (2017)Integrating principle component analysis and weighted support vector machine for stock trading signals prediction (2018)A stock selection algorithm hybridizing grey wolf optimizer and support vector regression (2021)Comparing Predictive Accuracy (1994)Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation (2000)Comparing Predictive Accuracy (2002)Modeling fitting-function-based fuzzy time series patterns for evolving stock index forecasting (2014)Ensemble learning of rule-based evolutionary algorithm using multi-layer perceptron for supporting decisions in stock trading problems (2015)A hybrid decision support system for adaptive trading strategies: Combining a rule-based expert system with a deep reinforcement learning strategy (2023)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)A novel model by evolving partially connected neural network for stock price trend forecasting (2011)Stock trend prediction based on a new status box method and AdaBoost probabilistic support vector machine (2016)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)Designing a neural network for forecasting financial and economic time series (1996)Trend Time–Series Modeling and Forecasting With Neural Networks (2008)A method for automatic stock trading combining technical analysis and nearest neighbor classification (2010)Financial Time-Series Data Analysis Using Deep Convolutional Neural Networks (2016)Application of support vector machines in financial time series forecasting (2001)Financial time series forecasting using independent component analysis and support vector regression (2009)Support vector regression with chaos-based firefly algorithm for stock market price forecasting (2012)Financial time series forecasting with multi-modality graph neural network (2021)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Technical analysis of the financial markets: a comprehensive guide to trading methods and applications (1999)Recurrent neural network and a hybrid model for prediction of stock returns (2014)Deep learning with long short-term memory networks for financial market predictions (2017)The Behavior of Stock-Market Prices (1965)Answering the Skeptics: Yes, Standard Volatility Models do Provide Accurate Forecasts (1998)A Simple Approximate Long-Memory Model of Realized Volatility (2008)
this work references cited by second hop

References

  • 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques1,139 cited
  • 2003Support vector machine with adaptive parameters in financial time series forecasting1,008 cited
  • 2007A Hybrid Neurogenetic Approach for Stock Forecasting175 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
  • 2011A dynamic threshold decision system for stock trading signal detection72 cited

Cited by

  • 2018High-Frequency Stock Trend Forecast Using LSTM Model47 cited
  • 2019A new LSTM based reversal point prediction method using upward/downward reversal point feature sets43 cited
  • 2022Multivariate Realized Volatility Forecasting with Graph Neural Network31 cited

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