References

• 2017Deep learning with long short-term memory networks for financial market predictions2,827 cited
• 2017A deep learning framework for financial time series using stacked autoencoders and long-short term memory1,131 cited
• 2004A hybrid ARIMA and support vector machines model in stock price forecasting1,000 cited
• 2010Predicting direction of stock price index movement using artificial neural networks and support vector machines: The sample of the Istanbul Stock Exchange880 cited
• 2017Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies833 cited
• 2014Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction579 cited
• 2018Deep learning-based feature engineering for stock price movement prediction483 cited
• 2016Stock prediction using deep learning339 cited
• 2019Universal features of price formation in financial markets: perspectives from deep learning267 cited
• 2016Predicting the Direction of Stock Market Index Movement Using an Optimized Artificial Neural Network Model263 cited
• 2016Application of artificial neural network for the prediction of stock market returns: The case of the Japanese stock market230 cited
• 2016Artificial Neural Networks architectures for stock price prediction: comparisons and applications206 cited
• 2017Intraday prediction of Borsa Istanbul using convolutional neural networks and feature correlations