Professional Python for Finance

Module 1: Introduction to Finance and Python

• Overview of financial concepts.
• Python as a tool for financial analysis.
• Financial data sources and APIs.

Module 2: Financial Data Analysis with Python

• Retrieving financial data (e.g., stock prices).
• Time series analysis.
• Financial modeling and forecasting.

Module 3: Algorithmic Trading with Python

• Developing trading strategies.
• Backtesting trading algorithms.
• Risk management in algorithmic trading.

Module 4: Portfolio Optimization

• Portfolio construction and diversification.
• Efficient Frontier and CAPM.
• Risk-adjusted returns.

Module 5: Python Libraries for Finance

• Using financial libraries like Pandas, NumPy, and QuantLib.
• Building financial applications.