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For Financial Analysts, Traders, and Investment Enthusiasts:

Ready To Learn How To Go From Algorithms Taking Your Job to Having Them Make You Money?

For Financial Analysts, Traders, and Investment Enthusiasts:

Ready To Learn How To Go From Algorithms Taking Your Job to Having Them Make You Money?

Algorithmic Trading: Discover & Test Investment Strategies

Learn the fundamentals of Data Science and how to apply this to the world of Finance to help you both in your career, and with your investing! 

TOP-RATED COURSE + UNIQUE APPROACH

This is the best finance focused data science/python course, rated 4.8 out of 5!

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STUDENTS HAVE TAKEN OUR COURSES

We have helped thousands of students all over the world with our courses.

LIFETIME ACCESS (INCLUDING UPDATES)

We’re always adding new material – and you’ll get lifetime access to the content!

CERTIFICATE OF COMPLETION

After successfully passing the course you will receive a certificate of completion that you can show to employers.

Increase Your Salary

Create Projects You Can Use or Add to Your Resume

Make More Money From Your Investments

Level Up Your Skills

Try a Free Live Class and Get More Course Info

Fill the form to receive access to a FREE LIVE CLASS and get the Course Information PDF


Our Course Is For:

  • Finance professionals brand new to programming who want to learn Python to take their career to the next level,
  • Experienced programmers looking to work in a Finance context,
  • Individuals who want to learn Python to analyze their investments and automate their trades to help make them more money,
  • Individuals interested in a Data Science job or a developer job in a financial institution.

What Will You Be Able To Do?

Here are just a few things you’ll be able to do after completing our course.

  • Code in Python and use it to solve real-world tasks
  • Make better investment and trading decisions using data
  • Analyze your own investment strategies using backtesting and other techniques
  • Automate your trading strategies
  • Apply best practices when working with financial data
  • Analyze data to be used for Algorithmic Trading
  • Carry out in-depth investment analysis
  • Compare securities in terms of their Sharpe ratio 
  • Calculate risk and return of individual securities and investment portfolios
  • Build investment portfolios
  • Work with Python’s conditional statements, functions, sequences and loops
  • Plot graphs with Matplotlib
  • Work with scientific packages, like NumPy

The Classroom Comes to You

We have several plans for our course each designed to fit your learning needs and style. Our classes are taught online live and one-on-one, or you can just get the videos only. Whatever plan you choose, we are here to support you and make sure you are learning and achieving your goals.

Videos Only

Videos only is a great way to get started on your learning with hours of engaging video lecture and reusable code. 

Live Learning

Live learning is a fun way to learn allowing you to interact with other students and the instructor in real time fostering collaboration and discussion about the course material.

One-On-One Learning

One-on-one learning is a great way to learn allowing you to go at your own pace with the instructor guiding you along the way. 

The Classroom Comes to You

We have several plans for our course each designed to fit your learning needs and style. Our classes are taught online live and one-on-one, or you can just get the videos only. Whatever plan you choose, we are here to support you and make sure you are learning and achieving your goals.

Videos Only

Videos only is a great way to get started on your learning with hours of engaging video lecture and reusable code. 

Live Learning

Live learning is a fun way to learn allowing you to interact with other students and the instructor in real time fostering collaboration and discussion about the course material.

One-On-One Learning

One-on-one learning is a great way to learn allowing you to go at your own pace with the instructor guiding you along the way. 

Course Curriculum & The Projects

Week 1: Course Introduction

  • Introductions
  • Course Layout and Tools
  • System Setup
  • Q&A

Week 2: Python Refresher

  • Numbers, Strings and Loops
  • Functions
  • Libraries
  • Q&A

Week 3: Introduction to Pandas

  • Dataframes and Series
  • Dataframe Operations
  • Q&A

Week 4: Pandas in Finance

  • Loading a CSV File
  • Merging Dataframes
  • Graphing
  • Q&A

Week 1: Working With Stock and Economic Data

  • Using Pandas Datareader
  • Economic Data from FRED
  • Project 1 Introduction
  • Q&A

Week 2: Statistics With Financial Data

  • Getting Yahoo Finance Data
  • Calculating Returns
  • Correlations
  • Q&A

Week 3: Financial Metrics

  • CAGR, StDev, Max Drawdown and Sharpe Ratio
  • Backtesting Introduction
  • Project 1 Introduction
  • Q&A

Week 4: Backtesting Your Investment Strategies

  • Backtesting a Portfolio Rebalancing Strategy
  • Backtesting a Momentum Trading Strategy
  • Q&A

Week 1: Introduction Algorithmic Trading

  • How Quant Hedge Funds Work
  • The Different Brokers You Can Use
  • Setting Up With a Broker
  • Q&A

Week 2: Connecting to a Broker’s API and Trading

  • API Authentication
  • Your First Trade With Code
  • Project 2 Introduction
  • Q&A

Week 3: Simple Trading Algorithms

  • How to Build a Momentum Trading Bot
  • How to Build a Technical Analysis Trading Bot
  • Q&A

Week 4: A More Difficult Trading Algorithm

  • How to Build a Bot That Automatically Rebalances
  • Project Help
  • Q&A

Project 1: Analyzing Investment Strategies

In this project you will download and analyze financial data, then use that data to backtest an investment strategy. This will allow you to see how a specific investment strategy would have performed in the past, using historical data and risk/return metrics.

Project 2: Building a Live Trading Robot

For this project, you will create a trading robot that will automatically buy and sell stocks based on your predefined criteria. Students will have the freedom to create their own bot to trade on the signals that they prefer, including economic data, company financial data and more.

Meet Your Instructor

Robert Grzesik

Robert has spent most of his career managing software teams on Wall Street and at various software startups.

He’s taught thousands of students in computer
programming and finance both in person and online.

In college, he received his Masters of Finance from a top business school and used to teach finance to classrooms with over 100 students each.

Robert has been programming computers for over 20 years using many different languages including Python, JavaScript, C, C++, Ruby on Rails and more.

Meet Your Instructor

Robert Grzesik

Robert has spent most of his career managing software teams on Wall Street and at various software startups.

He’s taught thousands of students in computer
programming and finance both in person and online.

In college, he received his Masters of Finance from a top business school and used to teach finance to classrooms with over 100 students each.

Robert has been programming computers for over 20 years using many different languages including Python, JavaScript, C, C++, Ruby on Rails and more.

Try a Free Live Class and Get More Course Info

Fill the form to receive access to a FREE LIVE CLASS and get the Course Information PDF


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