Stock Market Prediction using Neural Networks for Multi-Output Regression in Python

multi-output neural networks time series regression

Neural networks can generate various outputs, which is especially useful in time-series forecasting to forecast longer periods. In time series regression, the number of neurons in the final output layer determines how many steps in a time series the model can predict. Models with one output return single-step forecasts. Models … Read more

Feature Engineering for Multivariate Stock Market Prediction with Python

feature engineering for stock market prediction, multivariate time series modelling

Multivariate forecasting models do not rely exclusively on historical time series data but use additional features (multivariate = multiple input variables) such as moving averages or momentum indicators. The underlying assumption is that various variables increase the accuracy of a forecast by helping the model identify patterns in the historical … Read more

Correlation Matrix in Python: How Correlated are COVID-19 Cases and Different Financial Assets?

confusion matrix python tutorial scikit-learn seaborn

This article shows how you can create a correlation matrix in Python to vizualize the correlation between various asset classes and COVID-19. Correlation is a stastical measure that describes the linear relationship between two independent variables. In financial market analysis, correlation plays an important role, as it measures how assets … Read more