Backtesting Strategies: Test Trading Strategies Using Python

Find out if your trading strategy will work in real life by testing how it would have worked in the past

Created by: Robert Grzesik
Wall Street Software Manager

What Will I Learn?

• Calculate risk and return of investment portfolios
• Create graphs and charts using Pandas and Matplotlib
• Apply best practices when working with financial data
• Take your career to the next level
• Be comfortable applying for a developer job in a financial institution
• Perform backtesting analysis on your investments
• Build and analyze investment portfolios
• Calculate risk and return of individual securities
• Compare securities using their Sharpe ratio
• Use Python to solve real-world tasks
• Carry out in-depth investment analysis
• Perform max drawdown analysis
• Understand how to use the data analysis toolkit, Pandas
• Apply and succeed in the best rated job in the world: Data Science

Requirements

• All software and data used in the course is free
• You’ll need to install Python 3 and Anaconda

Target audience

• Aspiring data scientists
• People interested in finance and investments
• Business/finance graduates and professionals who need to better apply their knowledge in Python
• Programmers who want to specialize in finance