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Series decomposition Transformer with period-correlation for stock market index prediction
16 references·2 citing·44 second hop
Series decomposition Transformer with period-correlation for stock market index prediction (2023)Series decomposition Transformer with per…Transformer-based attention network for stock movement prediction (2022)Transformer-based attention n…Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)Prediction of stock price dir…Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction (2020)Hierarchical Multi-Scale Gaus…A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM (2020)A novel deep learning framewo…A CNN-LSTM-Based Model to Forecast Stock Prices (2020)A CNN-LSTM-Based Model to For…A CNN-BiLSTM-AM method for stock price prediction (2020)A CNN-BiLSTM-AM method for st…The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)The Performance of LSTM and B…A Comparative Study of LSTM and DNN for Stock Market Forecasting (2018)A Comparative Study of LSTM a…Forecasting at Scale (2017)Forecasting at ScalePredicting the direction of stock market prices using random forest (2016)Predicting the direction of s…Deep Learning for Finance: Deep Portfolios (2016)Deep Learning for Finance: De…Stock Price Prediction Using the ARIMA Model (2014)Stock Price Prediction Using …An SVM-based approach for stock market trend prediction (2013)An SVM-based approach for sto…A Bayesian regularized artificial neural network for stock market forecasting (2013)A Bayesian regularized artifi…2013 IEEE International Conference on Big Data (2013)2013 IEEE International Confe…Capital market seasonality: The case of stock returns (1976)Capital market seasonality: T…Enhancing carbon price point-interval multi-step-ahead prediction using a hybrid framework of autoformer and extreme learning machine with multi-factors (2025)Enhancing carbon price point-…Enhancing stock market Forecasting: A hybrid model for accurate prediction of S&P 500 and CSI 300 future prices (2024)Enhancing stock market Foreca…Statistical principles in experimental design. (1962)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Time Series Analysis: Forecasting and Control (1977)Are Seasonal Anomalies Real? A Ninety-Year Perspective (1988)Stock Prices and Volume (1992)Another Look at the Cross-Section of Expected Stock Returns (1995)Financial time series forecasting using support vector machines (2003)Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)A feature weighted support vector machine and K-nearest neighbor algorithm for stock market indices prediction (2017)Natural language based financial forecasting: a survey (2017)Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks (1994)NSE Stock Market Prediction Using Deep-Learning Models (2018)Deep learning for financial applications : A survey (2020)Stock Market Prediction Using LSTM Recurrent Neural Network (2020)Forecasting principles and practiceTime Series Analysis Forecasting and Control. (1971)Stock price prediction using deep learning and frequency decomposition (2020)Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM (2022)Bias in Machine Learning: A Literature Review (2024)Time series forecasting using a hybrid ARIMA and neural network model (2003)A CNN–LSTM model for gold price time-series forecasting (2020)An Advanced CNN-LSTM Model for Cryptocurrency Forecasting (2021)Stock market prediction using deep learning algorithms (2021)Stock Price Prediction Using CNN-BiLSTM-Attention Model (2023)Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)Cryptocurrency trading: a comprehensive survey (2022)Machine learning techniques and data for stock market forecasting: A literature review (2022)Technical analysis of the financial markets: a comprehensive guide to trading methods and applications (1999)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)A Comparative Study of Demand Forecasting Models for a Multi-Channel Retail Company: A Novel Hybrid Machine Learning Approach (2022)A machine learning trading system for the stock market based on N-period Min-Max labeling using XGBoost (2022)Forecasting long-term stock prices of global indices: A forward-validating Genetic Algorithm optimization approach for Support Vector Regression (2023)A systematic review of fundamental and technical analysis of stock market predictions (2019)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)A survey of results on mobile phone datasets analysis (2015)Big data preprocessing: methods and prospects (2016)Big Data technologies: A survey (2017)Fake news on Twitter during the 2016 U.S. presidential election (2019)The good, the bad and the ugly on COVID-19 tourism recovery (2020)Forecasting: theory and practice (2022)
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References

  • 2017Forecasting at Scale2,900 cited
  • 2019The Performance of LSTM and BiLSTM in Forecasting Time Series1,735 cited
  • 20132013 IEEE International Conference on Big Data1,390 cited
  • 1976Capital market seasonality: The case of stock returns1,229 cited
  • 2014Stock Price Prediction Using the ARIMA Model1,153 cited
  • 2016Deep Learning for Finance: Deep Portfolios765 cited
  • 2020A CNN-BiLSTM-AM method for stock price prediction633 cited
  • 2020A CNN-LSTM-Based Model to Forecast Stock Prices564 cited
  • 2013A Bayesian regularized artificial neural network for stock market forecasting517 cited
  • 2021Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process292 cited
  • 2022Transformer-based attention network for stock movement prediction241 cited
  • 2020A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM237 cited
  • 2020Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction231 cited
  • 2016Predicting the direction of stock market prices using random forest222 cited
  • 2013An SVM-based approach for stock market trend prediction

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178 cited
  • 2018A Comparative Study of LSTM and DNN for Stock Market Forecasting144 cited
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