For Financial Analysts, Traders, and Investment Enthusiasts:

Ready To Take Your Investing To The Next Level Using Faster, Smarter, And More Efficient Algorithms?

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!

0
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

Get Started With Automating Your Trades For Free

Fill the form to receive access to a FREE LIVE CLASS on how to automate your trades


Why Algorithmic Trading?

Using algorithms to trade can have many benefits, including:

Trading 24/7

Some markets – such as Futures, FOREX, and Crypto – trade at all times of the day and night. Now you can too with a bot that is still working for you while you sleep. Imagine waking up to some great returns.

Backtesting Strategies

There are so many trading “experts” these days that will tell you to buy X stock or use Y strategy. Using backtesting, we can check how our algorithms would have performed over the past 5, 10, or 20 years to see proof that they are either good or bad.

Don’t Miss Opportunities

There is so much information in the world these days: earnings, drug approvals, scandals, and more. Even a tweet by Elon Musk can move markets. It’s impossible for any human to pay attention to all of this at once – but machines can do it very easily and capitalize on it quickly.

Trade Faster

Machines are faster than people. WAY faster. Imagine being able to make 10 trades per second all day long, or trading on a news event only 20 milliseconds after the news breaks.

Less Emotional Decisions

People are emotional animals. That’s both a good and a bad thing – but for trading, mostly bad. Algorithms can remain level headed no matter what’s happening.

Make Money From Your Couch

Algorithms don’t sleep, don’t get tired, and can continue to work for you even when you want to take a break. Wouldn’t it be nice to watch a movie while your algorithm makes you money?

Assets You Can Trade

Using our technology you can easily trade lots of different asset types, including:

Stocks

Options

Futures

FOREX

Crypto

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.

Self Directed

Self-directed is a great way to get started on your learning with hours of engaging video lectures 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
  • Getting Yahoo Finance Data
  • Project 1 Introduction
  • Q&A

Week 2: Financial Performance Metrics

  • Calculating Returns: CAGR, StDev, Max Drawdown, and Sharpe Ratio
  • Backtesting Introduction
  • Project Presentations
  • Q&A

Week 3: Backtesting Your Investment Strategies 1

  • Backtesting a Momentum Trading Strategy
  • Project Presentations
  • Q&A

Week 4: Backtesting Your Investment Strategies 2

  • Backtesting a Portfolio Rebalancing Strategy
  • Project Presentations
  • Q&A

Week 1: Connecting to a Broker’s API and Trading

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

Week 2: A Working Trading Robot

  • A Demo of Our Trading Robot
  • An Introduction to Lumibot
  • Creating New Strategies in Lumibot
  • Q&A

Week 3: Simple Trading Algorithms

  • How to Build a Momentum Trading Bot
  • How to Build a Rebalancing Trading Bot
  • How to build a Stock Screening Bot
  • Q&A

Week 4: Machine Learning Intro

  • Forecasting Time Series Data Using Machine Learning
  • 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.

Get Started With Automating Your Trades For Free

Fill the form to receive access to a FREE LIVE CLASS on how to automate your trades


See What Our Students Have to Say