Backtesting Strategies Test Trading Strategies Using Python
Tags: Quantitative Finance
Find out if your trading strategy will work in real life by testing how it would have worked in the past
Last updated 2022-01-10 | 4.7
- Calculate risk and return of investment portfolios- Create graphs and charts using Pandas and Matplotlib
- Apply best practices when working with financial data
What you'll 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
Description
- 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
Course content
3 sections • 11 lectures