Algorithmic Trading Learning Pathway

A structured journey through machine learning applications in financial markets

Our comprehensive program builds expertise progressively, from foundational concepts to advanced implementation. Each module connects theory with practical application, preparing you for real-world challenges in quantitative finance.

Program Structure

The curriculum follows a carefully designed progression that builds competency through hands-on projects and theoretical understanding. Starting August 2025, participants engage with both foundational mathematics and cutting-edge machine learning applications.

8
Months Duration
24
Core Modules
1

Foundation Phase

Statistical analysis and probability theory form the backbone of quantitative trading. We explore data preprocessing, time series analysis, and basic programming concepts using Python and R.

Statistics Python Data Analysis
2

Market Mechanics

Understanding market microstructure, order types, and execution algorithms. Students learn about liquidity, bid-ask spreads, and how electronic trading systems operate in modern markets.

Market Structure Order Flow Execution
3

Machine Learning Applications

Advanced techniques including neural networks, ensemble methods, and deep learning for price prediction and pattern recognition. Focus on feature engineering and model validation in financial contexts.

Neural Networks Feature Engineering Model Validation
4

Risk & Portfolio Management

Comprehensive risk assessment methods, portfolio optimization, and capital allocation strategies. Students develop frameworks for managing downside risk while maintaining growth potential.

Risk Models Optimization Backtesting

Dr. Marcus Chen

Lead Quantitative Researcher

"The most successful algorithmic traders combine deep technical knowledge with practical market experience. Our program bridges this gap through project-based learning."

Assessment & Progression

Q1

Foundational Assessment

Project-based evaluation covering statistical analysis and basic algorithm implementation. Students demonstrate understanding through real market data analysis.

Q2

Strategy Development

Mid-program portfolio showcasing original trading strategy with complete backtesting analysis and risk assessment documentation.

Q3

Capstone Project

Final presentation of fully-developed algorithmic trading system, including machine learning components and comprehensive performance analysis.

Next Cohort: August 2025

Applications open March 2025. The program combines online learning with quarterly in-person workshops at our Bangkok facility. All materials and software licenses included with enrollment.

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