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A stock price prediction method based on meta-learning and variational mode decomposition
11 references·8 citing·47 second hop
A stock price prediction method based on meta-learning and variational mode decomposition (2022)A stock price prediction method based on …A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network (2020)A hybrid stock price index fo…Study on the prediction of stock price based on the associated network model of LSTM (2019)Study on the prediction of st…Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network (2019)Non-ferrous metals price fore…CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)CNNpred: CNN-based stock mark…ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module (2018)ModAugNet: A new forecasting …Leveraging social media news to predict stock index movement using RNN-boost (2018)Leveraging social media news …EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction (2018)EMD2FNN: A strategy combining…Stock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)Stock Price Prediction via Di…Predicting stock market index using fusion of machine learning techniques (2014)Predicting stock market index…Forecasting tourism demand based on empirical mode decomposition and neural network (2011)Forecasting tourism demand ba…Financial time series forecasting using support vector machines (2003)Financial time series forecas…VGC-GAN: A multi-graph convolution adversarial network for stock price prediction (2023)VGC-GAN: A multi-graph convol…Stock ranking prediction using a graph aggregation network based on stock price and stock relationship information (2023)Stock ranking prediction usin…Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition (2023)Multi-step-ahead stock price …McVCsB: A new hybrid deep learning network for stock index prediction (2023)McVCsB: A new hybrid deep lea…COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic (2023)COVID19-MLSF: A multi-task le…A stock series prediction model based on variational mode decomposition and dual-channel attention network (2023)A stock series prediction mod…A novel hybrid model for stock price forecasting integrating Encoder Forest and Informer (2023)A novel hybrid model for stoc…Fuzzy hypergraph network for recommending top-K profitable stocks (2022)Fuzzy hypergraph network for …Generalized autoregressive conditional heteroskedasticity (1986)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Sentiment analysis on social media for stock movement prediction (2015)Computational Intelligence and Financial Markets: A Survey and Future Directions (2016)A systematic review of fundamental and technical analysis of stock market predictions (2019)Forecasting with artificial neural networks: (1998)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)Stock market's price movement prediction with LSTM neural networks (2017)Application of support vector machines in financial time series forecasting (2001)Tourism demand modelling and forecasting—A review of recent research (2007)New developments in tourism and hotel demand modeling and forecasting (2017)Improving Tourist Arrival Prediction: A Big Data and Artificial Neural Network Approach (2020)The impact of COVID-19 on tourism sector in India (2020)A Bayesian regularized artificial neural network for stock market forecasting (2013)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Listening to Chaotic Whispers (2018)Enhancing Stock Movement Prediction with Adversarial Training (2019)A comprehensive survey on deep neural networks for stock market: The need, challenges, and future directions (2021)The Behavior of Stock-Market Prices (1965)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Time Series Analysis Forecasting and Control. (1971)A novel deep learning framework: Prediction and analysis of financial time series using CEEMD and LSTM (2020)Deep learning in finance and banking: A literature review and classification (2020)Stock Market Prediction Using Machine Learning Techniques: A Decade Survey on Methodologies, Recent Developments, and Future Directions (2021)Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Time series forecasting using a hybrid ARIMA and neural network model (2003)Cascading logistic regression onto gradient boosted decision trees for forecasting and trading stock indices (2019)Financial time series forecasting with deep learning : A systematic literature review: 2005–2019 (2020)Stock market forecasting using a multi-task approach integrating long short-term memory and the random forest framework (2021)PORTFOLIO SELECTION* (1952)Optimal Versus Naive Diversification: How Inefficient is the 1/ N Portfolio Strategy? (2007)Deep learning with long short-term memory networks for financial market predictions (2017)Deep Learning for Stock Market Prediction (2020)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Machine learning techniques and data for stock market forecasting: A literature review (2022)Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm (2008)Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs) (2008)A new crude oil price forecasting model based on variational mode decomposition (2020)Predictions of steel price indices through machine learning for the regional northeast Chinese market (2024)Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Prediction of stock price direction using a hybrid GA-XGBoost algorithm with a three-stage feature engineering process (2021)The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction (2021)Financial time series forecasting model based on CEEMDAN and LSTM (2018)Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)Asian stock markets closing index forecast based on secondary decomposition, multi-factor analysis and attention-based LSTM model (2022)Multi-step-ahead stock price index forecasting using long short-term memory model with multivariate empirical mode decomposition (2022)Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020–2022 (2023)
this work references cited by second hop

References

  • 2003Financial time series forecasting using support vector machines1,734 cited
  • 2019CNNpred: CNN-based stock market prediction using a diverse set of variables643 cited
  • 2014Predicting stock market index using fusion of machine learning techniques608 cited
  • 2017Stock Price Prediction via Discovering Multi-Frequency Trading Patterns476 cited
  • 2018ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module373 cited
  • 2019Study on the prediction of stock price based on the associated network model of LSTM288 cited
  • 2019Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network254 cited
  • 2011Forecasting tourism demand based on empirical mode decomposition and neural network217 cited
  • 2020A hybrid stock price index forecasting model based on variational mode decomposition and LSTM network191 cited
  • 2018EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction156 cited
  • 2018Leveraging social media news to predict stock index movement using RNN-boost113 cited

Cited by

  • 2023Multi-step-ahead stock price prediction using recurrent fuzzy neural network and variational mode decomposition78 cited
  • 2023A novel hybrid model for stock price forecasting integrating Encoder Forest and Informer

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62 cited
  • 2023VGC-GAN: A multi-graph convolution adversarial network for stock price prediction58 cited
  • 2023Stock ranking prediction using a graph aggregation network based on stock price and stock relationship information57 cited
  • 2022Fuzzy hypergraph network for recommending top-K profitable stocks56 cited
  • 2023A stock series prediction model based on variational mode decomposition and dual-channel attention network53 cited
  • 2023McVCsB: A new hybrid deep learning network for stock index prediction45 cited
  • 2023COVID19-MLSF: A multi-task learning-based stock market forecasting framework during the COVID-19 pandemic40 cited