• $399

The Complete Bundle — Everything on the Platform

  • Bundle
  • 7 Products

Everything on the platform in one decision. Two flagship courses: GPT-Augmented Momentum Strategy (8 production notebooks + XGBoost e-book) and Practical ML in Finance (100+ video lessons across 4 modules + Applied ML e-book). Plus 5 trading & investment courses, 6 Python & data courses, all code templates, and ongoing support materials. $855 value — own it all forever for $399.

Contents

  • $49

Book: Applied Machine Learning in Finance (E-Book and Interactive Notebooks)

  • Download
  • 2 files

Master Machine Learning for finance with this practitioner’s guide. Bridge the gap between theory and results using real-world data. From feature engineering to neural networks, learn the techniques driving modern alpha. Includes access to 30 interactive dashboards. This is the only book on machine learning and finance you will ever need.

  • $49

Book: XG Boost Strategy

  • Download
  • 1 file

Our ML XG Boost model was configured for Long/Cash Stock Selection strategy across 25 assets with 10 proprietary engineered features matched for financial time-series.

  • $149

GPT: GPT-Augmented Momentum Strategy + Book on GPT For Finance

  • Course
  • 14 Lessons

Build a production-ready momentum trading strategy using GPT as your research copilot. 8 hands-on episodes take you from raw data to backtested strategy. Includes 8 Jupyter notebooks, complete dataset, and a 80-page book on how to deploy GPT-Augmented Finance Strategies. First principals, Audit-first approach with walk-forward validation.

  • $79

Practical ML - Advanced ML

  • Course
  • 26 Lessons

Practical Machine Learning in Finance is a hands-on course that teaches you how to apply machine learning to real investment problems. You’ll learn by doing—building classification models, engineering features, handling class imbalance, evaluating performance, and avoiding common pitfalls. Designed for finance professionals and students, the course focuses on practical implementation, not just theory.

  • $59

Practical ML - Feature Engineering

  • Course
  • 27 Lessons

Practical Machine Learning in Finance is a hands-on course that teaches you how to apply machine learning to real investment problems. You’ll learn by doing—building classification models, engineering features, handling class imbalance, evaluating performance, and avoiding common pitfalls. Designed for finance professionals and students, the course focuses on practical implementation, not just theory.

  • $49

Practical ML - Foundations

  • Course
  • 8 Lessons

Practical Machine Learning in Finance is a hands-on course that teaches you how to apply machine learning to real investment problems. You’ll learn by doing—building classification models, engineering features, handling class imbalance, evaluating performance, and avoiding common pitfalls. Designed for finance professionals and students, the course focuses on practical implementation, not just theory.

  • $79

Practical ML - Model Building

  • Course
  • 39 Lessons

Practical Machine Learning in Finance is a hands-on course that teaches you how to apply machine learning to real investment problems. You’ll learn by doing—building classification models, engineering features, handling class imbalance, evaluating performance, and avoiding common pitfalls. Designed for finance professionals and students, the course focuses on practical implementation, not just theory.

Flagship Courses

🚀 What's Inside: Two Flagship Courses

GPT-Augmented Momentum Strategy — $149 value

Build a production ML trading system with GPT acceleration and human governance.

  • 8 production-ready Jupyter notebooks

  • Walk-forward validation & leakage controls

  • Cross-sectional momentum signals

  • GPT-augmented research workflow

  • Includes: XGBoost Strategy E-Book ($49 value)

Practical ML in Finance — Complete — $199 value

Master machine learning from foundations to advanced techniques.

  • 100+ video lessons across 25 modules in 4 courses:

    • Foundations (27 lessons)

    • Feature Engineering (27 lessons)

    • Model Building (26 lessons)

    • Advanced ML (26 lessons)

  • Includes: Applied ML in Finance E-Book ($49 value)

Trading & Investment Courses

📊 Trading & Investment — 5 Courses

Trading and investment strategies

  • Algorithmic Trading: Building a Momentum Strategy in Python

  • Building an Investment Trading System in Python

  • Creating Investment Fund Categories Using NLP

  • Introduction to the Basics of Asset Allocation

  • Hierarchical Clustering for Asset Class Analysis

Python & Data Foundations

🐍 Python & Data Foundations — 6 Courses + Templates

Python programming and tools

  • Introduction to Python — Part 1 & Part 2

  • Introduction to Python Pandas

  • Coding Common Financial Functions in Python

  • Data Visualization I

  • All Code Templates & Python Files

Value Summary

💎 The Math

What You Get

ValueGPT-Augmented Momentum Strategy $149

XGBoost Strategy E-Book. $49

Practical ML in Finance (4 modules) $199

Applied ML in Finance E-Book. $495

Trading & Investment Courses. $163

6 Python & Data Courses. $145

Code Templates & Support. $101

Total Value $855

Your Price $399

You Save 53%

Alternative Option

Also Available: Annual Pass — $249/year

Subscription

Same complete access with ongoing content updates and community access. Best for staying current as new courses and research are added.

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[Get the Complete Bundle → $399]

Complete package covering Trading and Investment Strategies, Practical ML Foundations for Finance, Foundations of Python and Data Preparation