SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models
5 references·10 citing·46 second hop
Stock Price Prediction Using CNN and LSTM-Based Deep Learning Models (2020)Stock Price Prediction Using CNN and LSTM…Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models (2021)Stock Price Prediction Using …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 …Deep learning for stock market prediction from financial news articles (2017)Deep learning for stock marke…A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A deep learning framework for…Stock Price Prediction Using the ARIMA Model (2014)Stock Price Prediction Using …Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies (2025)Deep learning for algorithmic…Stock price prediction: comparison of different moving average techniques using deep learning model (2024)Stock price prediction: compa…Stock price prediction based on LSTM and LightGBM hybrid model (2022)Stock price prediction based …Stock Market Analysis and Prediction for Nifty50 using LSTM Deep Learning Approach (2022)Stock Market Analysis and Pre…Deep Learning in Stock Portfolio Selection and Predictions (2022)Deep Learning in Stock Portfo…Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method (2022)Convolutional neural network …Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models (2021)Stock Price Prediction Using …Accurate Stock Price Forecasting Using Robust and Optimized Deep Learning Models (2021)Accurate Stock Price Forecast…A Stock Closing Price Prediction Model Based on CNN‐BiSLSTM (2021)A Stock Closing Price Predict…A time series analysis-based stock price prediction using machine learning and deep learning models (2020)A time series analysis-based …Forecasting stock market movement direction with support vector machine (2004)Temporal Relational Ranking for Stock Prediction (2019)Applications of deep learning in stock market prediction: Recent progress (2021)A Random Walk Down Wall Street (1973)A novel hybridization of artificial neural networks and ARIMA models for time series forecasting (2010)Twitter mood predicts the stock market (2011)Stock Market Forecasting Using Deep Learning and Technical Analysis: A Systematic Review (2020)A systematic review of stock market prediction using machine learning and statistical techniques (2021)Machine learning approaches in stock market prediction: A systematic literature review (2023)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)The relationship between earnings' yield, market value and return for NYSE common stocks (1983)Persuasive evidence of market inefficiency (1985)Forecasting Stock Market Indices Using Padding-Based Fourier Transform Denoising and Time Series Deep Learning Models (2021)Sustainable Stock Market Prediction Framework Using Machine Learning Models (2022)Size and Book-to-Market Factors in Earnings and Returns (1995)Analysis and Forecasting of Financial Time Series Using CNN and LSTM-Based Deep Learning Models (2022)A Stock Price Prediction Method Based on BiLSTM and Improved Transformer (2023)Deep learning with long short-term memory networks for financial market predictions (2017)Stock market's price movement prediction with LSTM neural networks (2017)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)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)Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices (2023)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Forecasting the volatility of stock price index: A hybrid model integrating LSTM with multiple GARCH-type models (2018)Multi-feature stock price prediction by LSTM networks based on VMD and TMFG (2025)Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Cost Harmonization LightGBM-Based Stock Market Prediction (2023)Harnessing a Hybrid CNN-LSTM Model for Portfolio Performance: A Case Study on Stock Selection and Optimization (2023)Enhancing Stock Market Prediction: A Robust LSTM-DNN Model Analysis on 26 Real-Life Datasets (2024)Stock price prediction based on deep neural networks (2019)Short-term stock market price trend prediction using a comprehensive deep learning system (2020)Stock Closing Price Prediction using Machine Learning Techniques (2020)FNSPID: A Comprehensive Financial News Dataset in Time Series (2024)Stock Market Prediction With Transductive Long Short-Term Memory and Social Media Sentiment Analysis (2024)Deep learning for financial forecasting: A review of recent trends (2025)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 CNN-LSTM-Based Model to Forecast Stock Prices (2020)
this work references cited by second hop

References

  • 2014Stock Price Prediction Using the ARIMA Model1,153 cited
  • 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,131 cited
  • 2018ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module373 cited
  • 2017Deep learning for stock market prediction from financial news articles238 cited
  • 2021Stock Price Prediction Using Machine Learning and LSTM-Based Deep Learning Models205 cited

Cited by

  • 2020A time series analysis-based stock price prediction using machine learning and deep learning models105 cited
  • 2024Stock price prediction: comparison of different moving average techniques using deep learning model79 cited
  • 2022Stock Market Analysis and Prediction for Nifty50 using LSTM Deep Learning Approach75 cited
  • 2022Stock price prediction based on LSTM and LightGBM hybrid model74 cited
  • 2021A Stock Closing Price Prediction Model Based on CNN‐BiSLSTM72 cited
  • 2022Convolutional neural network forecasting of European Union allowances futures using a novel unconstrained transformation method65 cited
  • 2021Stock Price Prediction Using Time Series, Econometric, Machine Learning, and Deep Learning Models59 cited
  • 2021Accurate Stock Price Forecasting Using Robust and Optimized Deep Learning Models46 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2022Deep Learning in Stock Portfolio Selection and Predictions40 cited
  • 2025Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies39 cited