Master Algorithmic Trading
Build expertise in machine learning-driven financial strategies through our structured learning pathway. Transform your understanding of market dynamics with hands-on experience and professional guidance.
Start Your JourneyLearning Pathway
Our curriculum follows a progressive structure that builds your skills systematically. Each module connects to the next, creating a comprehensive foundation for algorithmic trading success.
Financial Markets Foundation
Duration: 6 weeks
We start with the fundamentals because everything else builds on this foundation. You'll explore market structure, understand how different asset classes behave, and learn to read market signals that most traders overlook.
This isn't just theory — you'll analyze real market data from the Philippine Stock Exchange and international markets. By the end, you'll recognize patterns that indicate potential opportunities.
Key Learning Outcomes:
- Analyze market microstructure and price formation
- Identify market inefficiencies across different timeframes
- Understand correlation patterns between asset classes
- Master technical analysis fundamentals with statistical backing
Machine Learning Applications
Duration: 8 weeks
Here's where things get interesting. Traditional technical analysis meets modern computational power. You'll learn how algorithms can spot patterns human traders miss completely.
We focus on practical applications — no abstract theory without real-world context. You'll build your first trading algorithms using supervised learning techniques, then progress to more sophisticated approaches.
Key Learning Outcomes:
- Implement regression models for price prediction
- Apply classification algorithms for signal generation
- Design feature engineering strategies for market data
- Optimize model parameters for trading performance
Strategy Development & Testing
Duration: 10 weeks
This is where your learning transforms into practical skills. You'll develop complete trading strategies from concept to implementation, learning to backtest rigorously and avoid the common pitfalls that destroy most algorithmic trading attempts.
Risk management becomes crucial here. We'll show you how to protect your capital while maximizing growth potential — something most educational programs gloss over.
Key Learning Outcomes:
- Create comprehensive backtesting frameworks
- Implement advanced risk management techniques
- Develop portfolio optimization strategies
- Master paper trading and strategy validation
Your Skill Development Journey
Each phase of our program builds specific competencies that compound over time. You'll progress from basic market understanding to sophisticated algorithmic trading capabilities.
Foundation Level
Master market fundamentals, data analysis, and basic programming concepts. Understand how financial markets operate at a structural level.
Intermediate Level
Implement machine learning models, develop trading signals, and create automated decision-making systems with proven statistical methods.
Advanced Level
Design complete trading systems, optimize performance across multiple markets, and manage sophisticated risk frameworks independently.
Assessment & Mentorship
We believe in practical evaluation methods that mirror real-world challenges. Your progress is measured through hands-on projects and personalized guidance from industry professionals.
Project-Based Evaluation
Build actual trading strategies that demonstrate your understanding. Each project increases in complexity and mirrors real market challenges.
- Strategy backtesting with historical data
- Risk assessment and performance metrics
- Code review and optimization feedback
Live Market Analysis
Present your market analysis during live trading sessions. Defend your strategies and learn from peer discussions in collaborative sessions.
- Weekly market analysis presentations
- Peer review and constructive feedback
- Real-time decision making practice
Portfolio Simulation
Manage a simulated portfolio throughout the program. Track your decisions, learn from outcomes, and refine your approach with professional guidance.
- Monthly portfolio performance reviews
- Risk management effectiveness tracking
- Strategy refinement workshops

Sarah Chen
Lead Trading Strategist
Former quantitative analyst with 12 years in algorithmic trading. Sarah specializes in machine learning applications for Asian markets and has mentored over 200 successful traders.

Maria Rodriguez
Risk Management Expert
Certified Financial Risk Manager with extensive experience in portfolio optimization. Maria focuses on teaching sustainable trading practices and capital preservation strategies.

Dr. Lisa Wang
Data Science Director
PhD in Financial Engineering with published research in algorithmic trading. Lisa brings cutting-edge academic insights to practical trading applications and strategy development.