Backtesting Strategies- Test Trading Strategies Using Python

Backtesting Strategies: Test Trading Strategies Using Python, available at $39.99, has an average rating of 4.25, with 11 lectures, based on 43 reviews, and has 531 subscribers.

You will learn about 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 This course is ideal for individuals who are Aspiring data scientists or People interested in finance and investments or Business/finance graduates and professionals who need to better apply their knowledge in Python or Programmers who want to specialize in finance It is particularly useful for Aspiring data scientists or People interested in finance and investments or Business/finance graduates and professionals who need to better apply their knowledge in Python or Programmers who want to specialize in finance.

Enroll now: Backtesting Strategies: Test Trading Strategies Using Python

Summary

Title: Backtesting Strategies: Test Trading Strategies Using Python

Price: $39.99

Average Rating: 4.25

Number of Lectures: 11

Number of Published Lectures: 11

Number of Curriculum Items: 11

Number of Published Curriculum Objects: 11

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Performance Metrics

Lecture 1: Introduction

Lecture 2: CAGR: Compound Annual Growth Rate

Lecture 3: Volatility and Sharpe Ratio

Lecture 4: Max Loss (Drawdown)

Chapter 3: Backtesting

Lecture 1: Introduction

Lecture 2: Trading on Price

Lecture 3: Portfolio Theory Part 1

Lecture 4: Portfolio Theory Part 2

Lecture 5: Portfolio Theory Part 3

Lecture 6: Portfolio Theory Part 4

Instructors

Robert Grzesik
Wall Street Software Manager

Rating Distribution

1 stars: 0 votes

2 stars: 3 votes

3 stars: 5 votes

4 stars: 10 votes

5 stars: 25 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!