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Stock Price Prediction With Long Short-Term Memory Recurrent Neural Network
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Stock Price Prediction With Long Short-Term Memory Recurrent Neural Network (2018)Stock Price Prediction With Long Short-Te…Investigation Into The Effectiveness Of Long Short Term Memory Networks For Stock Price Prediction (2016)Investigation Into The Effect…Stock Price Prediction Using Artificial Neural Network (2014)Stock Price Prediction Using …Recurrent neural network and a hybrid model for prediction of stock returns (2014)Recurrent neural network and …Stock Price Prediction using Neural Network with Hybridized Market Indicators (2012)Stock Price Prediction using …Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm (2010)Forecasting stock markets usi…Surveying stock market forecasting techniques – Part II: Soft computing methods (2008)Surveying stock market foreca…Design and implementation of NN5 for Hong Kong stock price forecasting (2006)Design and implementation of …Stock market prediction system with modular neural networks (1990)A hybrid ARIMA and support vector machines model in stock price forecasting (2004)Forecasting stock market movement direction with support vector machine (2004)Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange (2010)Deep learning with long short-term memory networks for financial market predictions (2017)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)The Behavior of Stock-Market Prices (1965)A Random Walk Down Wall Street (1973)Book Review: Time Series Analysis: Forecasting and Control (1977)Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches (2010)Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction (2014)Forecasting stock prices with a feature fusion LSTM-CNN model using different representations of the same data (2019)Time Series Analysis, Forecasting and Control. (1971)Time series forecasting using a hybrid ARIMA and neural network model (2003)A LSTM-based method for stock returns prediction: A case study of China stock market (2015)A deep learning framework for financial time series using stacked autoencoders and long-short term memory (2017)Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies (2017)Forecasting enrollments based on fuzzy time series (1996)GARCH 101: The Use of ARCH/GARCH Models in Applied Econometrics (2001)An Introduction to Wavelets and Other Filtering Methods in Finance and Economics (2002)Financial time series forecasting model based on CEEMDAN and LSTM (2018)Economic prediction using neural networks: the case of IBM daily stock returns (1988)Stock price pattern recognition-a recurrent neural network approach (1990)Non-linear Autoregressive with Exogeneous input (narx) bitcoin price prediction model using PSO-optimized parameters and moving average technical indicators (2018)A systematic review of fundamental and technical analysis of stock market predictions (2019)Study on the prediction of stock price based on the associated network model of LSTM (2019)A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market (2004)APPLICATION OF ARTIFICIAL NEURAL NETWORK FOR STOCK MARKET PREDICTIONS: A REVIEW OF LITERATURE (2010)State-of-the-Art in Stock Prediction Techniques (2013)A Survey on Stock Market Prediction Using Machine Learning Techniques (2020)Stock price prediction using LSTM, RNN and CNN-sliding window model (2017)NSE Stock Market Prediction Using Deep-Learning Models (2018)
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References

  • 2008Surveying stock market forecasting techniques – Part II: Soft computing methods861 cited
  • 2014Recurrent neural network and a hybrid model for prediction of stock returns518 cited
  • 2010Forecasting stock markets using wavelet transforms and recurrent neural networks: An integrated system based on artificial bee colony algorithm399 cited
  • 2012Stock Price Prediction using Neural Network with Hybridized Market Indicators122 cited
  • 2006Design and implementation of NN5 for Hong Kong stock price forecasting86 cited
  • 2016Investigation Into The Effectiveness Of Long Short Term Memory Networks For Stock Price Prediction63 cited
  • 2014Stock Price Prediction Using Artificial Neural Network51 cited

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