SPECIAL LIVE Event Starts Tuesday, January 28th at 10AM EST:

LIVE Algorithmic Trading Workshop

LIVE EVENT

Discover How To Build Algorithmic Trading Strategies with Python (by adding 15 algorithmic trading skills)

TUESDAY, JANUARY 28TH @ 10AM EST

LIVE Algorithmic Trading Workshop 🎉

Learn 15 algorithmic trading skills that will help you grow your stock portfolio..

TUESDAY, JANUARY 28TH @ 10AM EST

15 Exciting Skills You’ll Discover in Our Algorithmic Trading Workshop

  1. Uncover the Secrets of Automated Portfolio Growth – Learn how to transform trading ideas into powerful Python algorithms that work around the clock.

  2. Unlock Python’s Quant Stack – Master industry-standard libraries and toolkits (like Pandas, NumPy, and StatsModels) to crunch data, spot patterns, and build strategies faster than ever.

  3. Discover Hedge Fund-Proven Methods – Dive into factor investing, volatility targeting, and advanced spread trading strategies used by top-tier funds.

  4. Master the Art of Backtesting – Harness state-of-the-art frameworks (VectorBT, Zipline) to run millions of simulations and find winning tactics hidden in historical market data.

  5. Automate Trades Seamlessly – Solve the “last mile problem” by connecting your Python code to real brokerage accounts, executing orders in one line of code.

  6. Build a ‘Hedge Fund in a Box’ – Explore Python software and workflows that empower you to manage an entire trading operation from your laptop—no hedge fund office required!

  7. Unlock “Infinite” Strategy Ideas – Take one core concept (like the crack spread or mean reversion) and iterate it into dozens of variations for endless market opportunities.

  8. Unveil Advanced Risk Management – Protect profits and limit drawdowns by learning to analyze, measure, and rebalance portfolio risk like a pro.

  9. Turn Market Data into Trading Signals – Discover how to tap into real-time streaming market data and transform everything from fundamentals to price action into actionable intelligence.

  10. Decode Institutional Techniques – Get inside the mindset of professional traders at places like Bridgewater or BlackRock and replicate their quantitative models yourself.

  11. Harness the Power of Math & Stats – Sharpen your analytical edge through hands-on exercises in portfolio optimization, shrinkage covariance, and more.

  12. Integrate Fundamental & Technical Factors – Learn to combine balance-sheet insights with market momentum signals for a truly holistic quant approach.

  13. Optimize Entries & Exits – Go beyond guesswork and uncover hidden signals—so you know precisely when to hit “buy” or “sell” for maximum returns.

  14. Automate Your Stock Watchlists – Build Python scripts that constantly monitor the market, alert you to lucrative setups, and execute your trades if conditions match.

  15. Join a Thriving Community – Connect with fellow quant enthusiasts, share code, collaborate on trading ideas, and gain ongoing support for your next big project.

Discover how to grow your stock portfolio with Algorithmic Trading and Python.

Hi I'm Matt,

There's a massive shift happening in data science.

And the few that are adapting are reaping the rewards.

Long gone are the days of 10+ person data science teams...

... Where it takes 15 months (if ever) to get projects deployed into the business.

And, with data science project success rates dwindling at 14%, it's no wonder why companies are "restructuring".

In 2023, companies are demanding leaner & meaner data science teams that can do more with less.

Enter The Business Scientist.

A Business Scientist is capable of:

  • Communicating with Business Stakeholders

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Those that can do this in under 90 days are getting 17% higher salaries.

Those that cannot are getting cut. Fired. And replaced.

Want to become irreplaceable?

Want to become unfireable?

Want to become valued?

Want companies to compete for you?

Want companies to pay you what you're worth?

Then it's simple...

Learn to build & deploy solutions.

This course is like nothing else.

Learn from a $1,000,000+ ROI business project.

  • Work on a real world project where you save $1,250,000 every year with Customer Lead Scoring (a massive problem for companies)

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  • Cost the Project (and build a persuasive argument)

  • Show Return ON Investment (A $1,200,000 ROI Savings)

  • Create Data Pipelines (using Pandas + Python Modules)

  • Build 100's of Python Machine Learning Models with Pycaret, Scikit Learn & H2O AutoML

  • Track all machine learning experiments with MLFlow

  • Build a Production Python Module to house the code for your models, API, & App

  • Add 150+ amazing skills to your job portfolio

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The Skills Companies Need

Machine Learning, APIs, and Web Apps in 1 Integrated Course.

The $1,000,000+ Automated

Business Solution You Build

1. Upload a Customer List.

2. Download Lead Scores.

3. Make Company Money.

The Process You Follow

Follow the exact same process I've use to solve $10,000,000+ business problems.

The Code You Create

Use VSCode to build the end-to-end lead scoring automation with python code.

Quant Science, LLC 2025