
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.
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.
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.
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.
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.
“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™
Elevate Your Trading Skills for a Lifetime with the
Aries Profits™ ML Recipe
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.
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.
All you need is a computer with Python installed. We use Jupyter Notebooks and open-source Python libraries – no expensive tools or subscriptions required.
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.
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.
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.
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.
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.
We apologize, but this option is not available at this moment.
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.