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Prediction model for stock price trend based on recurrent neural network
7 references·12 citing·43 second hop
Prediction model for stock price trend based on recurrent neural network (2020)Prediction model for stock price trend ba…Stock market's price movement prediction with LSTM neural networks (2017)Stock market's price movement…A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A LSTM-based method for stock…A TSK type fuzzy rule based system for stock price prediction (2006)A TSK type fuzzy rule based s…Support Vector Machine Regression for Volatile Stock Market Prediction (2002)Support Vector Machine Regres…Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index (2000)Genetic algorithms approach t…Stock market prediction system with modular neural networks (1990)Stock market prediction syste…Economic prediction using neural networks: the case of IBM daily stock returns (1988)Economic prediction using neu…Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies (2025)Deep learning for algorithmic…VGC-GAN: A multi-graph convolution adversarial network for stock price prediction (2023)VGC-GAN: A multi-graph convol…Transformer-Gated Recurrent Unit Method for Predicting Stock Price Based on News Sentiments and Technical Indicators (2023)Transformer-Gated Recurrent U…Stock price forecasting in Indonesia stock exchange using deep learning: a comparative study (2023)Stock price forecasting in In…Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction (2023)Integrated GCN-LSTM stock pri…Improving prediction efficiency of Chinese stock index futures intraday price by VIX-Lasso-GRU Model (2023)Improving prediction efficien…ML-GAT:A Multilevel Graph Attention Model for Stock Prediction (2022)ML-GAT:A Multilevel Graph Att…A Black Swan event-based hybrid model for Indian stock markets’ trends prediction (2022)A Black Swan event-based hybr…Stock Price Forecast Based on CNN-BiLSTM-ECA Model (2021)Stock Price Forecast Based on…Stock prediction and mutual fund portfolio management using curve fitting techniques (2021)Stock prediction and mutual f…Constructing a stock-price forecast CNN model with gold and crude oil indicators (2021)Constructing a stock-price fo…Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda (2021)Application of Artificial Int…Support vector machine for regression and applications to financial forecasting (2000)Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation (2006)Localized support vector regression for time series prediction (2008)A systematic review of stock market prediction using machine learning and statistical techniques (2021)A BEHAVIORAL MODEL OF RATIONAL CHOICE (1955)Stock Market Prices Do Not Follow Random Walks: Evidence from a Simple Specification Test (1988)Chaos and Nonlinear Dynamics: Application to Financial Markets (1991)Models of Bounded Rationality (1997)Predicting the Price of Bitcoin Using Machine Learning (2018)A CNN-LSTM-Based Model to Forecast Stock Prices (2020)Application of neural networks to an emerging financial market: forecasting and trading the Taiwan Stock Index (2002)Using support vector machine with a hybrid feature selection method to the stock trend prediction (2009)A multiple-kernel support vector regression approach for stock market price forecasting (2010)Stock Market Forecasting Using Computational Intelligence: A Survey (2020)Textual analysis of stock market prediction using breaking financial news (2009)Twitter mood predicts the stock market (2011)Deep learning-based feature engineering for stock price movement prediction (2018)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Efficient Capital Markets: A Review of Theory and Empirical Work (1970)EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK* (1970)Financial time series forecasting using support vector machines (2003)Applications of deep learning in stock market prediction: Recent progress (2021)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Dynamic Black Litterman portfolios with views derived via CNN-BiLSTM predictions (2022)Deep Learning for Financial Time Series Prediction: A State-of-the-Art Review of Standalone and Hybrid Models (2023)Short-Term Stock Correlation Forecasting Based on CNN-BiLSTM Enhanced by Attention Mechanism (2024)Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques (2014)A systematic review of fundamental and technical analysis of stock market predictions (2019)Deep learning framework for predictive modeling of crude oil price for sustainable management in oil markets (2022)Explainable deep learning model for stock price forecasting using textual analysis (2024)Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices (2024)Towards a Methodology for Developing Evidence‐Informed Management Knowledge by Means of Systematic Review (2003)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)bibliometrix : An R-tool for comprehensive science mapping analysis (2017)A Hybrid Data Analytics Framework with Sentiment Convergence and Multi-Feature Fusion for Stock Trend Prediction (2022)Artificial intelligence techniques in financial trading: A systematic literature review (2024)How effective are neural networks at forecasting and prediction? A review and evaluation (1998)An Adaptive Network-Based Fuzzy Inference System (ANFIS) for the prediction of stock market return: The case of the Istanbul Stock Exchange (2010)Literature review: Machine learning techniques applied to financial market prediction (2019)Financial time series forecasting model based on CEEMDAN and LSTM (2018)NSE Stock Market Prediction Using Deep-Learning Models (2018)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)
this work references cited by second hop

References

  • 2017Stock market's price movement prediction with LSTM neural networks943 cited
  • 2000Genetic algorithms approach to feature discretization in artificial neural networks for the prediction of stock price index758 cited
  • 2015A LSTM-based method for stock returns prediction: A case study of China stock market734 cited
  • 1988Economic prediction using neural networks: the case of IBM daily stock returns698 cited
  • 1990Stock market prediction system with modular neural networks654 cited
  • 2006A TSK type fuzzy rule based system for stock price prediction319 cited
  • 2002Support Vector Machine Regression for Volatile Stock Market Prediction215 cited

Cited by

  • 2021Constructing a stock-price forecast CNN model with gold and crude oil indicators129 cited
  • 2021Application of Artificial Intelligence in Stock Market Forecasting: A Critique, Review, and Research Agenda103 cited
  • 2021Stock Price Forecast Based on CNN-BiLSTM-ECA Model73 cited
  • 2023Transformer-Gated Recurrent Unit Method for Predicting Stock Price Based on News Sentiments and Technical Indicators73 cited
  • 2023VGC-GAN: A multi-graph convolution adversarial network for stock price prediction58 cited
  • 2022ML-GAT:A Multilevel Graph Attention Model for Stock Prediction57 cited
  • 2023Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction

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53 cited
  • 2023Improving prediction efficiency of Chinese stock index futures intraday price by VIX-Lasso-GRU Model46 cited
  • 2022A Black Swan event-based hybrid model for Indian stock markets’ trends prediction42 cited
  • 2025Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies39 cited
  • 2021Stock prediction and mutual fund portfolio management using curve fitting techniques38 cited
  • 2023Stock price forecasting in Indonesia stock exchange using deep learning: a comparative study35 cited