Backtesting Strategies: Test Trading Strategies Using Python
- 4.4
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Brief Introduction
Find out if your trading strategy will work in real life by testing how it would have worked in the pastDescription
Are you a young professional interested in a Data Science career?
Are you interested in learning how to use Python to analyze your investments and help make you more money?
If yes, then this course is perfect for you!
Introducing Backtesting Strategies: Test Trading Strategies Using Python – one of the most interesting finance/programming courses you will take. This course will teach you how to use Python to make money by analyzing
Finance Fundamentals
We teach you how to use Python to analyze financial data using the most popular and powerful tools, including Pandas and Pandas Data Reader. Using these tools you will learn how to download data, perform financial calculations, visualize the data in graphs/charts, perform backtesting analysis, and more. These are the tools and techniques that our instructors have used on Wall St to manage billions of dollars for years, and now they're available for you!
Here's a list of some of the topics we cover:
Rate of return of stocks
Risk of assets using volatility
Risk of assets using max drawdown
Rate of return of stock portfolios
Risk of stock portfolios
Backtesting theory and application
Portfolio Theory
Sharpe ratio
Visualization of your findings in graphs/charts
Testing Ray Dalio's all-weather portfolio
Testing a 60/40 stock/bond portfolio
Using APIs to download data
Everything is included! Also, for every topic, you will get links to supplementary material where you can further your learning.
This is a great way to reinforce your Python skills as well as learn some valuable ways to apply them in the real world.
This course is great, even if you are an experienced programmer, as we will teach you a lot about the finance theory and mechanics you will need if you start working in a finance context.
Teaching is our passion
Everything we teach is explained in the best way possible. Plain and clear English, relevant examples and time-efficient videos. Don’t forget to check some of our sample videos to see how easy they are to understand.
If you have any questions, contact us! We love speaking with our students and take pride in responding within 1 business day. Our goal is to create high-end materials that are fun, exciting, career-enhancing, and rewarding.
What makes us different than the other Python or finance courses?
This course will teach you how to code in Python and apply these skills in the world of Finance. It is both a Programming and a Finance course.
High-quality production – HD video and animations (this isn’t a collection of boring lectures!)
Knowledgeable instructors. Robert has been working on Wall street managing software engineers for many years and has a master's in finance degree.
Complete training – we will cover all the major topics you need to understand to start coding in Python and solving the financial topics introduced in this course (and they are many!)
Extensive Case Studies that will help you reinforce everything you’ve learned.
Excellent support: If you don’t understand a concept or you simply want to drop us a line, you’ll receive an answer within 1 business day.
Dynamic: We don’t want to waste your time! The instructors set a very good pace throughout the whole course.
Please don’t forget that this course comes with Udemy’s 30-day unconditional, money-back-in-full guarantee. And why not give such a guarantee, when we are convinced the course will provide a ton of value for you?
Just subscribe to this course! If you don't acquire these skills now, you will miss an opportunity to separate yourself from the others. Don't risk your future success! Let's start learning together now!
Requirements
- Requirements
- All software and data used in the course is free
- You’ll need to install Python 3 and Anaconda
Knowledge
- 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
Robert Grzesik
4.4 Raiting
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Backtesting Strategies: Test Trading Strategies Using Python
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