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DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting
7 references·1 citing·34 second hop
DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting (2023)DoubleAdapt: A Meta-learning Approach to …REST: Relational Event-driven Stock Trend Forecasting (2021)REST: Relational Event-driven…Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport (2021)Learning Multiple Stock Tradi…Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts (2021)Accurate Multivariate Stock M…Individualized Indicator for All (2019)Individualized Indicator for …Listening to Chaotic Whispers (2018)Listening to Chaotic WhispersStock Price Prediction via Discovering Multi-Frequency Trading Patterns (2017)Stock Price Prediction via Di…A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction (2017)A Dual-Stage Attention-Based …TABLE: Time-aware Balanced Multi-view Learning for stock ranking (2024)TABLE: Time-aware Balanced Mu…A Bayesian regularized artificial neural network for stock market forecasting (2013)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Predicting stock market index using fusion of machine learning techniques (2014)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)Giving Content to Investor Sentiment: The Role of Media in the Stock Market (2007)Knowledge-Driven Stock Trend Prediction and Explanation via Temporal Convolutional Network (2019)Forecasting daily stock trend using multi-filter feature selection and deep learning (2020)A novel ensemble deep learning model for stock prediction based on stock prices and news (2021)Portfolio Selection: Efficient Diversification of Investments (1959)Financial time series forecasting using support vector machines (2003)Forecasting the Equity Risk Premium: The Role of Technical Indicators (2014)Stock Volatility Prediction by Hybrid Neural Network (2019)Deep Portfolio Optimization via Distributional Prediction of Residual Factors (2021)Stock Trend Prediction with Multi-granularity Data (2021)Mutual Fund Performance (1966)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Stock Price Prediction Using the ARIMA Model (2014)Hybrid Information Mixing Module for Stock Movement Prediction (2023)Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction (2023)A Systematic Review on Graph Neural Network-based Methods for Stock Market Forecasting (2024)Stock market's price movement prediction with LSTM neural networks (2017)MetaTrader (2022)StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting (2024)The Behavior of Stock-Market Prices (1965)Evidence of Predictable Behavior of Security Returns (1990)Value and Momentum Everywhere (2013)HGNN: Hierarchical graph neural network for predicting the classification of price-limit-hitting stocks (2022)Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction (2023)MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction (2024)Temporal Relational Ranking for Stock Prediction (2019)A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting (2019)N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (2019)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)
this work references cited by second hop

References

  • 2017A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction1,646 cited
  • 2017Stock Price Prediction via Discovering Multi-Frequency Trading Patterns476 cited
  • 2018Listening to Chaotic Whispers274 cited
  • 2021Accurate Multivariate Stock Movement Prediction via Data-Axis Transformer with Multi-Level Contexts151 cited
  • 2021Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport84 cited
  • 2021REST: Relational Event-driven Stock Trend Forecasting62 cited
  • 2019Individualized Indicator for All58 cited

Cited by

  • 2024TABLE: Time-aware Balanced Multi-view Learning for stock ranking37 cited

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