Matt McGarry – Newsletter Marketing Summit 2025

Master Algorithmic Trading with Jason Strimpel and Matt Dancho

Discover the secrets of successful algorithmic trading with Jason Strimpel and Matt Dancho’s comprehensive course, The Quant Scientist Algorithmic Trading System. This downloadable course is designed to take you from a beginner to a confident trader, equipped with the skills and strategies needed to navigate the complex world of algorithmic trading.

Why Choose This Algorithmic Trading Course?

This course is not just about learning the basics; it’s about mastering the art of algorithmic trading. With a focus on practical application, you’ll gain hands-on experience in setting up your trading account, executing trades, and managing risk. The course is structured to ensure you build confidence through paper trading before diving into live trading.

Open a Trading Account with Interactive Brokers

If you’re new to algorithmic trading, this course provides a step-by-step guide to opening a trading account with Interactive Brokers. You’ll learn the basics of getting started, ensuring you have a solid foundation to build upon.

Get a System and Plan Your Success

Success in trading requires a well-thought-out plan. This course offers a systematic approach to minimize risk and protect your investments. You’ll practice your skills in a risk-free environment using paper trading, allowing you to build confidence before making the leap to live trading.

Make Trading a Reality Without the Stress

One of the biggest challenges in trading is managing the emotional rollercoaster. This course teaches you how to make trading a reality without losing money, sleep, or your mind. You’ll learn strategies to grow your investments while maintaining your peace of mind.

Course Highlights

Trading Account Setup and Python Integration

The course begins with setting up your trading account and integrating Python. You’ll learn how to install the Quant Scientist Python Stack, create an account with Interactive Brokers, and set up your Trader Workstation. This section ensures you have the technical foundation needed for successful trading.

Top 3 Trading Strategies

Gain access to the top three trading strategies used by professionals. These include volatility targeting with auto-rebalancing, momentum factor with auto-rebalancing, and algorithmic crack spread versus refiner. Each strategy is designed to maximize your profits while minimizing risk.

Backtesting and Risk Management

Learn the art of backtesting to ensure your trading strategies are sound. The course covers detailed walkthroughs of event-based backtesting, portfolio strategies with Zipline Reloaded, and factor-based trading strategies. You’ll also learn how to avoid common mistakes in backtesting and manage risk effectively.

Advanced Backtesting Techniques

For those looking to take their trading to the next level, the course offers advanced backtesting techniques. You’ll learn how to execute and manage your trades, including a multi-asset trading strategy and techniques for faster backtesting.

Bonus Features

Lifetime Access to Active Trader Community

One of the unique features of this course is lifetime access to an active trader community. This community provides support for setting up your Python software and Interactive Brokers trading account. You’ll also find motivation and engagement through practice trading competitions and a dedicated channel to post your wins.

Machine Learning for Trading

This advanced clinic solves the problem of predicting future price movements. You’ll learn how to use machine learning to make predictive trading strategies, including a predictive multi-asset trading framework and a new trading strategy that implements machine learning prediction.

Omega “Hedge Fund in a Box”

The Omega “Hedge Fund in a Box” is a proprietary Python application worth $15,000. This application streamlines trade execution with 26 API connections between Python and Interactive Brokers API. It includes SQL Database Trade Logging, Target Percent Positions, and Automatic Portfolio Rebalancing.

Downloadable Course Content

• Step 1: Trading account setup, Python setup, and live order execution
  • Get the Quant Scientist Python Stack installed
  • Create an account with Interactive Brokers
  • Set up your Trader Workstation
  • Connect Python to the Trader Workstation
  • Execute a paper trading strategy risk-free
• Step 2: Get our Top 3 Trading Strategies (Live Clinic #1)
  • Get our 5-Step Framework for Profitable Trading
  • Learn our Top 3 Trades: Volatility targeting with auto-rebalancing, Momentum factor with auto-rebalancing, Algorithmic crack spread versus refiner
  • Get Jason and Matt live for an hour and a half
• Step 3: Learn how to Backtest the right way (Clinic #2)
  • Detailed walkthrough of event-based backtesting
  • Backtested portfolio strategies with Zipline Reloaded
  • Introduction to factor-based trading strategies
  • How to avoid mistakes in backtesting
  • Get Jason and Matt live for an hour and a half
• Step 4: Manage Your Risk and Protect Your Money (Live Clinic #3)
  • Detailed walkthrough of key performance and risk metrics
  • Risk analysis of our trades with Pyfolio Reloaded
  • Which KPIs actually matter (and which ones to avoid)
  • When to iterate (our core key risk levels)
  • How to go directly into paper trading
  • Get Jason and Matt live for an hour and a half
• Step 5: Learn Advanced Backtesting (Clinic #4)
  • Detailed walkthrough of how to execute and manage your trades
  • 1 New Trade: A multi-asset trading strategy
  • 1 new technique that gives you 100X faster backtesting
  • Get Jason and Matt live for an hour and a half
• Bonus #1: Lifetime Access to our active trader community
  • Solves the “Trading Alone” Problem
  • Get support for setting up the Python software
  • Get support to help set up your Interactive Brokers trading account correctly (and Trader Workstation)
  • Get motivation with the “post your wins” channel
  • Engage in our practice trading competitions
• Bonus #2: Learn Machine Learning for Trading (Clinic #5)
  • Solves the “I Struggle With Predicting Future Price Movements” problem
  • This is an advanced clinic
  • Learn how to use machine learning to make predictive trading strategies
  • A predictive multi-asset trading framework
  • 1 new trading strategy that implements machine learning prediction
  • Get Jason and Matt live for an hour and a half
• Bonus #3: Omega “Hedge Fund in a Box”
  • Solves the “Last Mile” problem
  • Proprietary Omega “Hedge Fund in a Box” Python Application
  • Jason has poured 1,000 hours into development of this app
  • Streamlines trade execution
  • 26 API connections between Python and Interactive Brokers API
  • SQL Database Trade Logging
  • Target Percent Positions
  • Automatic Portfolio Rebalancing