SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
BiCuDNNLSTM-1dCNN — A hybrid deep learning-based predictive model for stock price prediction
16 references·11 citing·37 second hop
BiCuDNNLSTM-1dCNN — A hybrid deep learning-based predictive model for stock price prediction (2022)BiCuDNNLSTM-1dCNN — A hybrid deep learnin…Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Generación de series de tiemp…Optimizing LSTM for time series prediction in Indian stock market (2020)Optimizing LSTM for time seri…A CNN–LSTM model for gold price time-series forecasting (2020)A CNN–LSTM model for gold pri…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…Stock closing price prediction based on sentiment analysis and LSTM (2019)Stock closing price predictio…Novel Deep Learning Model with CNN and Bi-Directional LSTM for Improved Stock Market Index Prediction (2019)Novel Deep Learning Model wit…NSE Stock Market Prediction Using Deep-Learning Models (2018)NSE Stock Market Prediction U…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 …Financial time series forecasting model based on CEEMDAN and LSTM (2018)Financial time series forecas…Evaluation of bidirectional LSTM for short-and long-term stock market prediction (2018)Evaluation of bidirectional L…Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)Stock price prediction using …Financial Time Series Prediction Based on Deep Learning (2017)Financial Time Series Predict…A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)A deep learning framework for…Stock prediction using deep learning (2016)Stock prediction using deep l…Deep Learning for Finance: Deep Portfolios (2016)Deep Learning for Finance: De…Deep learning for financial forecasting: A review of recent trends (2025)Deep learning for financial f…A Neuroscience-Informed AI Framework to Decode the Complexities of Neurofinance (2025)A Neuroscience-Informed AI Fr…Data-driven stock forecasting models based on neural networks: A review (2024)Data-driven stock forecasting…Comparative Analysis of Deep Learning Models for Stock Price Prediction in the Indian Market (2024)Comparative Analysis of Deep …A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach (2024)A bibliometric literature rev…McVCsB: A new hybrid deep learning network for stock index prediction (2023)McVCsB: A new hybrid deep lea…Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction (2023)Integrated GCN-LSTM stock pri…Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices (2023)Forecasting multistep daily s…Forecasting long-term stock prices of global indices: A forward-validating Genetic Algorithm optimization approach for Support Vector Regression (2023)Forecasting long-term stock p…Using Deep Learning Techniques in Forecasting Stock Markets by Hybrid Data with Multilingual Sentiment Analysis (2022)Using Deep Learning Technique…Deep Learning in Stock Portfolio Selection and Predictions (2022)Deep Learning in Stock Portfo…A Nonparametric Approach to Pricing and Hedging Derivative Securities Via Learning Networks (1994)Deep learning for financial applications : A survey (2020)Stock Market Prediction Using LSTM Recurrent Neural Network (2020)Forecasting stock market movement direction with support vector machine (2004)CNNpred: CNN-based stock market prediction using a diverse set of variables (2019)Temporal Relational Ranking for Stock Prediction (2019)Applications of deep learning in stock market prediction: Recent progress (2021)Time Series Analysis Forecasting and Control. (1971)Time Series Analysis: Forecasting and Control (1977)25 years of time series forecasting (2006)Stock Closing Price Prediction using Machine Learning Techniques (2020)Forecasting with artificial neural networks: (1998)Time series forecasting using a hybrid ARIMA and neural network model (2003)Stock Market Analysis: A Review and Taxonomy of Prediction Techniques (2019)Stock price prediction using deep learning and frequency decomposition (2020)Application of support vector machines in financial time series forecasting (2001)Introduction to Time Series and Forecasting (2002)Forecasting Volatility in Financial Markets: A Review (2003)A graph-based CNN-LSTM stock price prediction algorithm with leading indicators (2021)Carbon price forecasting based on CEEMDAN and LSTM (2022)Investor Sentiment and the Cross‐Section of Stock Returns (2006)Deep learning with long short-term memory networks for financial market predictions (2017)Integración de los mercados financieros Latinoamericanos por medio de MILA (2020)A Survey of Forex and Stock Price Prediction Using Deep Learning (2021)Stock market index prediction using deep Transformer model (2022)A Stochastic Approximation Method (1951)Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Financial time series forecasting with multi-modality graph neural network (2021)Is gold a safe haven? International evidence (2010)Cryptocurrency trading: a comprehensive survey (2022)Stock Price Prediction Using the ARIMA Model (2014)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)Machine learning techniques and data for stock market forecasting: A literature review (2022)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)
this work references cited by second hop

References

  • 2021Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN)1,463 cited
  • 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,131 cited
  • 2017Stock price prediction using LSTM, RNN and CNN-sliding window model1,096 cited
  • 2020A CNN–LSTM model for gold price time-series forecasting869 cited
  • 2016Deep Learning for Finance: Deep Portfolios765 cited
  • 2018Financial time series forecasting model based on CEEMDAN and LSTM712 cited
  • 2020A CNN-BiLSTM-AM method for stock price prediction633 cited
  • 2018NSE Stock Market Prediction Using Deep-Learning Models615 cited
  • 2020A CNN-LSTM-Based Model to Forecast Stock Prices564 cited
  • 2019Stock closing price prediction based on sentiment analysis and LSTM436 cited
  • 2018ModAugNet: A new forecasting framework for stock market index value with an overfitting prevention LSTM module and a prediction LSTM module373 cited
  • 2020Optimizing LSTM for time series prediction in Indian stock market367 cited
  • 2016Stock prediction using deep learning339 cited
  • 2018Evaluation of bidirectional LSTM for short-and long-term stock market prediction257 cited

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

2019
Novel Deep Learning Model with CNN and Bi-Directional LSTM for Improved Stock Market Index Prediction
180 cited
  • 2017Financial Time Series Prediction Based on Deep Learning162 cited
  • Cited by

    • 2024Data-driven stock forecasting models based on neural networks: A review120 cited
    • 2023Forecasting long-term stock prices of global indices: A forward-validating Genetic Algorithm optimization approach for Support Vector Regression79 cited
    • 2023Forecasting multistep daily stock prices for long-term investment decisions: A study of deep learning models on global indices61 cited
    • 2025Deep learning for financial forecasting: A review of recent trends61 cited
    • 2023Integrated GCN-LSTM stock prices movement prediction based on knowledge-incorporated graphs construction53 cited
    • 2022Using Deep Learning Techniques in Forecasting Stock Markets by Hybrid Data with Multilingual Sentiment Analysis47 cited
    • 2023McVCsB: A new hybrid deep learning network for stock index prediction45 cited
    • 2024Comparative Analysis of Deep Learning Models for Stock Price Prediction in the Indian Market42 cited
    • 2024A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach41 cited
    • 2022Deep Learning in Stock Portfolio Selection and Predictions40 cited
    • 2025A Neuroscience-Informed AI Framework to Decode the Complexities of Neurofinance5 cited