Machine Learning for Trading Course Part 2: Amethyst Trader™

From Patterns to Predictions -
Trade with the Power of AI Models

If the Smartest Funds on Wall Street Rely on Machine Learning (ML) - Why Shouldn't You?

The truth is: over 80% of trades in the financial markets are now executed by algorithms. These algorithms aren’t guided by emotion, gut feeling, or textbook patterns – they’re powered by machine learning models that digest thousands of data points and adapt in real time. For example, a rule-based trader might rely on a single candlestick pattern like a “hammer” at support to trigger a buy. Meanwhile, an ML-powered model might be scanning dozens of features – price momentum, volume spikes, sector performance, volatility regime shifts – to uncover a subtle pattern undetectable by rule-based strategies. This means ML models can uncover edges far beyond what technical indicators or price structures can reveal, helping you react faster and more accurately.

The key here is about detecting smarter trades.

ML strategies consistently produce a substantially higher reward-to-risk ratio. Why does this matter? Because in trading, your edge isn’t about how often you’re right – it’s about how much you make when you are versus how much you lose when you’re not. ML strategies don’t just increase opportunities – they tilt the reward-risk equation in your favor. This is backed by decades of empirical studies from academia, industry leaders, and our own firm’s rigorous research team.

In this course, you will learn firsthand techniques to achieve these proven results.

Introducing...

Course Overview

Amethyst Trader™ is an 18-hour advanced course that builds on the foundations of Tourmaline Trader™ to elevate your trading skills with cutting-edge ML techniques. You’ll master powerful classification models, time series analysis, and statistical inference – giving you the tools to validate your edge, measure noise, and deploy adaptive strategies that excel in real-world market conditions.

We will go well beyond plug-and-play trading formulas by focusing on systematic strategies driven by diverse data evidence instead of rigid, predefined assumptions. This opens the door to unveiling hidden patterns in the market that go undetected without the lens of ML.

By the end of this course, you’ll command the full ML pipeline like a data scientist and emerge as a nimble, versatile trader ready to navigate market uncertainty.

Learning Outcomes

Predict Market Actions

Learn how to predict the upward/downward move of a stock, high/low market liquidity, profitability of a strategy, etc., and increase your probability of winning.

Uncover Temporal Factors Invisible to the Naked Eye

Capitalise on time-based components in the market, such as trend momentum and volatility clustering. Discover the best times to enter, exit, and hold.

Bayesian Inference & Uncertainty Quantification

Adapt your trading decisions in real time by updating your market beliefs. With a Bayesian mindset, your strategy stays in sync and responsive with the data.

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

Curriculum

Lesson 1: Cross Validation
• Validation Set Approach
• K-Fold Cross-Validation
• Shuffle Split
• Time Series Split
Lesson 2: Classification Problems
• Classification Methods
• Types of Classifiers
• Model Performance Metrics
Lesson 3: K-Nearest Neighbors (KNN)
• Classification Problems
• KNN - What, Why, and How?
• KNN Imputer
• KNN OverRsampling (KNNOR)
Lesson 4: Support Vector Machines (SVM)
• SVM - What, Why, and How?
• Kernel-based Approaches
• OneClassSVM
Lesson 5: Decision Trees
• Decision Tree - What, Why, and How?
• Tree Pruning
Lesson 6: Ensemble Methods
• Bagging
• Random Forest
• AdaBoost, XGBoost, LightGBM, CatBoost
• Stacking Models
Lesson 7: Time Series Analysis
• Temporal Components
• Trend-based models - AR, MA, ARIMA
• Volatility models - ARCH, GARCH, ARIMA+GARCH
Lesson 8: Bayesian Computing
• Bayes Theorem
• Hamiltonian Monte Carlo (HMC) - No U-Turn Sampler (NUTS)
• Variational Inference (VI)
• Model Diagnostics
• Posterior Predictive Checks

Elevate Your Trading Skills for a Lifetime with the

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US$1099

ORIGINAL PRICE: US$2499

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Hear What Our ML Quants Are Saying

“Before this course, quant research felt like a foreign language—I thought it was only for PhDs. But John’s clear teaching lit a spark in me and showed that anyone with curiosity can think like a quant.”
Zirui Peng
China
“Thanks to what I learned in this course, I spotted early volatility red flags that helped me exit before a $7,000 drawdown. I’ll never look at market signals the same way again - this course paid for itself tenfold.”
Sasho Petrov
United States
“I tracked my trades before and after the course—my win rate jumped by 30%! This makes me think that this wasn’t luck and the ML techniques actually work.”
Ron Adams
United Kingdom
“I’ve always been intimidated by math, but this course surprised me - there was minimal math, and tons of clarity. I’m learning happily, and now I actually enjoy building working models like a mini quant.”
Yide Ling
China
“I studied finance in college, and honestly, none were as practical, hands-on, and insightful as John’s course. This isn’t just learning theory - it’s learning how to up your chances in winning.”
Sanjaya Haritsa
United States
“I took this course series during one semester and landed a quant internship at a hedge fund. The skills I picked up here helped me stay confident during the famously difficult interviews. The examples were real, the insights were sharp. It gives me a serious boost in my career.”
Billy Gao
China

Course FAQ

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

YES. This course dives straight into intermediate trading and machine learning techniques. If you’re new to trading or machine learning, we recommend starting with Tourmaline Trader™ to build the core foundation you’ll need.

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 build a strong foundation in machine learning, quantitative analysis, and Python – skills that are in high demand across finance, data science, and tech. In fact, many students have used what they learned to develop trading systems, succeed in technical interviews, and land internships or jobs in hedge funds, fintech, and research roles.

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 2: Amethyst 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 $5,500+) 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 2: Amethyst Trader™ Today

No jargon. No fluff. Just sharp research skills you need to build your trading edge starting today!