Machine Learning for Trading Course Part 1: Tourmaline Trader™

Think Beyond the Charts -
Decode Market Patterns Like a Scientist

Dear trader, can you relate to these?

I feel like I’m always one step behind. By the time I recognize a pattern, the opportunity is already gone.

I spend hours analyzing charts and scanning for setups, but it never feels like I’m making smarter trades.

I built a strategy that worked last month... but now it’s failing. Why do my trades stop working?

I’ve tried courses, signal services, and expensive tools, but none of them made me independent.

If any of that rings true, we’ve got a solution for you. Forget staring at charts hoping for a “golden cross” to whisper secrets. It’s time to stop reacting – and start researching.  After years of refining a cutting-edge knowledge base at the intersection of machine learning and market behavior, John Lee and his team are now sharing these proprietary techniques with the retail trading community. These are not recycled strategies or surface-level tutorials—they’re the exact research-driven methods used behind the scenes to decode market dynamics and build intelligent trading systems.

Join us and become part of a new wave of traders who trade smarter, research deeper, and build the tools others only wish they had.

Introducing...

Course Overview

Tourmaline Trader™ is an 18-hour course that isn’t just about learning to trade—it’s about learning to think, build, and research like a modern quant. This course lays the foundation of unsupervised and supervised learning environments for detecting hidden market structures, forecasting price movements, and building intelligent trading systems that adapt to real-world financial data. 

The goal of this course is to bridge the gap between financial trading and data science, giving you the skills to run your own research studies and gain an edge where others are still guessing. By the end, you won’t just understand the theories on how ML works—you’ll be applying it directly to financial data, from building predictive models to clustering market regimes. This is the curriculum Wall Street quants pay thousands to access, but here we repackaged it for retail mastery.

This course takes on a research-first approach. Instead of handing you one-size-fits-all strategies, you’ll learn how to build your own, using Python, Jupyter, and powerful ML models to create adaptable systems that align with your style and goals.

Learning Outcomes

If you're new to trading or data science...

You’ll walk away with your first machine learning pipeline, the confidence to build more, and a deeper understanding of how algorithms can help uncover patterns in various market problems.

If you’ve read about AI revolutionizing finance, but haven’t seen it in action…

You won’t just be taught about machine learning in markets - you'll create the core components that drive real-world AI strategies and watch them come to life through data, code, and visual insights.

If you're aiming to become a full-stack quant...

No PhD required. Use this course as a launchpad to prep for a hedge fund role, fill in knowledge for tackling institutional-grade problems, or deploy your own prop strategy.

What Differentiates Tourmaline Trader™ from Other Trading/ML Courses?

Curriculum

Lesson 1: Machine Learning (ML) Basics
• Machine Learning - What, Why, and How?
• ML in Financial Trading
• Market Data Sources & Trader Tools
• Programming Environment Setup
Lesson 2: Feature Engineering
• Features Engineering - What, Why, and How?
• Deriving Price-based and Economic Features
• Strategy Statistics via Zipline & Quandl API
• Converting Numerical to Categorical Features
• Converting Categorical to Numerical Features
Lesson 3: Data Preprocessing
• Data Preprocessing - What, Why, and How?
• Handling Null & Missing Values
• Standardization
• Outliers
• Correlation & Feature Importance
• Label Balancing - SMOTE
Lesson 4: Exploratory Data Analysis (EDA)
• Initial Data Profiling - Summary Statistics, Memory Usage, etc
• Data Visualizations - Scatter Plots, Probability Distribution Curves, etc
• Statistical Analyses - Tests for Random Sample, Homogeneity, etc
Lesson 5: Dimension Reduction (DR)
• Dimension Reduction - What, Why, and How?
• Linear DR Methods - Low-Dimensional Space
• Nonlinear DR Methods - High Dimensional Space
Lesson 6: Cluster Analysis
• Clustering - What, Why, How?
• K-Means Clustering
• Model-Based Clustering with Gaussian Mixture Model (GMM)
• Hierarchical Clustering
• DBSCAN
• Spectral Clustering
Lesson 7: Linear Models
• Bias-Variance Tradeoff
• Simple/ Multiple Linear Regression & Diagnostics
• Lasso Regression (L1 Regularization)
• Ridge Regression (L2 Regularization)
• ElasticNet Regression
• Logistic Regression
Lesson 8: Nonlinear Models
• Polynomial Regression
• Regression & Smoothing Splines
• Generalized Additive Model (GAM)

“The Machine learning for Trading course series is like observing the vast galaxy with a super-telescope. What once looked like random twinkles now reveals constellations of hidden patterns, quiet signals, and untold stories written in the stars. You’re not just stargazing – you’re becoming the astrophysicist of your own financial cosmos.”

– Aries Profits™

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US$660

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Hear from Our ML Quants Worldwide

"John’s ability to turn complicated concepts into clear, digestible lessons kept me curious and inspired throughout the course. His passion and clarity made even the hardest topics engaging, and I walked away eager to keep learning more.”
Gloria Huang
Taiwan
"John’s course opened my eyes as a beginner—his energy, clarity, and real-world approach made every lesson exciting. It sparked my curiosity and pushed me to think critically and explore beyond the textbook."
Lakshya Agarwal
India
"This course completely changed how I see the market and helped me think like a fund manager. John's traderway of breaking complex topics into simple, powerful insights made it easy to absorb and apply.”
Max Linton
United States
“As a data analyst in the industry, wrangling large datasets used to be overwhelming - until I learned dimension reduction techniques in this course. Now, I can jump straight to the data that’s meaningful, which saved me tons of time.”
Priya Menon
Singapore
"The course was intellectually rich and instantly applicable to real trading strategies. Mr. Lee’s teaching was so engaging and supportive that I felt encouraged to explore, ask questions, and build practical skills with confidence.”
Rishabh Sarin
United States
“Thanks to this course, I no longer have to scan through hundreds of stocks every month, but rather use clustering to group them based on key characteristics. Now my watchlist is full of stocks that actually perform - most give me over 5% returns every month!”
Jason Liu
Canada

Course FAQ

Do I need a background in finance or machine learning to take this course?

Although some programming background will be helpful, NO prior background is required! The course is designed to guide beginners step-by-step, while still offering deep insights for intermediate and advanced learners. We start from the fundamentals and build up to practical ML applications in trading.

Must I complete the Machine Learning for Trading Course Part 1: Tourmaline Trader™ before learning materials in the Machine Learning for Trading Course Part 2: Amethyst Trader™?

Yes, Part 1: Tourmaline Trader™ is the foundational course that sets the stage for all the advanced modeling and trading techniques covered in Part 2: Amethyst Trader™. Particularly, Part 1 covers topics on preparing, exploring, and structuring market data using core machine learning workflows.

Part 2 of the course equips you with advanced modeling techniques like SVMs, Decision Trees, and Time Series analysis to build predictive trading systems.

Without the data preprocessing, feature engineering, and analytical mindset from Part 1, the advanced models in Part 2 won’t be effective or interpretable.

What tools or software will I need to complete the course?

All you need is a computer with Python installed. We use Jupyter Notebooks and open-source Python libraries – no expensive tools or subscriptions required.

Is this course focused on theory or hands-on practice?

Both! You’ll not only understand the theoretical foundations of machine learning but also apply them directly through coding scenarios, data analysis, and backtesting exercises.

Is this course math-heavy?

Not at all! This course is designed to be approachable for quantitative learners without requiring an advanced math background. We focus on building intuition and practical skills. That said, for those who are more mathematically inclined, we provide optional references and resources to dive deeper into the theoretical side. The course balances clarity with rigor, so you’re empowered to understand and apply powerful concepts without getting lost in equations.

Can this course help me get a job in quantitative finance or data science?

Yes. You’ll gain a solid foundation in machine learning, quantitative analysis, and Python – all highly sought-after skills in quantitative finance, data science, and beyond.

After completing all the video lessons in this course, will I still get any support?

Yes, our email support will be on standby whenever you need clarification or answers to anything crucial, even after you have completed the course.

In the near future, you will be added to a group chat, which is essentially a learning community formed by students who also took the Machine Learning for Trading Course Part 1: Tourmaline Trader™. There you’ll be able to share your trading or research ideas, ask meaningful questions, and engage in thoughtful discussions. This community is here to bridge any knowledge gaps and deepen your understanding beyond what’s covered in the course.

Can I get any further discounts?

The price you see is already a steep markdown, intentionally set to make high-impact, professional-grade training accessible to aspiring traders around the globe. Your one-time enrollment unlocks lifetime access, future content updates, and exclusive proprietary algorithms (valued at $2,500+) at no additional cost. It’s a rare opportunity to invest once and grow continuously.

Can I pay in installments?

We apologize, but this option is not available at this moment.

Enroll in Machine Learning for Trading Course Part 1: Tourmaline Trader™ Today

Machine Learning isn’t just for coders or hedge funds anymore. Step into the future of trading with us to uncover hidden market insights and trade smarter every day.