Python for Finance Cookbook – Second Edition

Table of Contents

1. Acquiring Financial Data
2. Data Preprocessing
3. Visualizing Financial Time Series
4. Exploring Financial Time Series Data
5. Technical Analysis and Building Interactive Dashboards
6. Time Series Analysis and Forecasting
7. Machine Learning-Based Approaches to Time Series Forecasting
8. Multi-Factor Models
9. Modelling Volatility with GARCH Class Models
10. Monte Carlo Simulations in Finance
11. Asset Allocation
12. Backtesting Trading Strategies
13. Applied Machine Learning: Identifying Credit Default
14. Advanced Concepts for Machine Learning Projects
15. Deep Learning in Finance