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Application of Support Vector Regression in Indonesian Stock Price Prediction with Feature Selection Using Particle Swarm Optimisation
4 references·0 citing·24 second hopsampled
Application of Support Vector Regression in Indonesian Stock Price Prediction with Feature Selection Using Particle Swarm Optimisation (2019)Application of Support Vector Regression …Stock price prediction using support vector regression on daily and up to the minute prices (2018)Stock price prediction using …NSE Stock Market Prediction Using Deep-Learning Models (2018)NSE Stock Market Prediction U…Evaluating machine learning classification for financial trading: An empirical approach (2016)Evaluating machine learning c…A hybrid stock trading framework integrating technical analysis with machine learning techniques (2016)A hybrid stock trading framew…Time Series Analysis: Forecasting and Control (1977)Time Series Analysis: Forecasting and Control. (1978)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework (2021)A survey on machine learning models for financial time series forecasting (2022)Retracted: Application of Neural Network to Technical Analysis of Stock Market Prediction (2022)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)Evaluating multiple classifiers for stock price direction prediction (2015)Machine Learning Stock Market Prediction Studies: Review and Research Directions (2020)Stock Market Forecasting Using Computational Intelligence: A Survey (2020)Technical analysis strategy optimization using a machine learning approach in stock market indices (2021)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Financial time series forecasting using support vector machines (2003)The Efficient Market Hypothesis and Its Critics (2003)Fine-tuned support vector regression model for stock predictions (2021)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)Survey of feature selection and extraction techniques for stock market prediction (2023)Forecasting with artificial neural networks: (1998)Time series forecasting using a hybrid ARIMA and neural network model (2003)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)Optimizing LSTM for time series prediction in Indian stock market (2020)Stock price prediction using deep learning and frequency decomposition (2020)
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References

  • 2018NSE Stock Market Prediction Using Deep-Learning Models615 cited
  • 2018Stock price prediction using support vector regression on daily and up to the minute prices330 cited
  • 2016A hybrid stock trading framework integrating technical analysis with machine learning techniques215 cited
  • 2016Evaluating machine learning classification for financial trading: An empirical approach157 cited

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