Stock Market Prediction – Adjusting Time Series Prediction Intervals in Python

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This tutorial shows how to adjust prediction intervals in time series forecasting using Keras recurrent neural networks and Python. We build on a previous article on stock market forecasting, in which we created a forecast for the S&P500 stock market index. The prediction interval used in this previous article was … Read more

Stock Market Prediction using Univariate Recurrent Neural Networks (RNN) with Python

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Predicting the price of financial assets has fascinated researchers and analysts for many decades. While the traditional prediction methods of technical analysis and fundamental analysis are still widely used, interest is increasingly turning to machine-generated predictions based on deep learning. A contributing factor is that libraries for deep learning, such … Read more