Seasonal Investment Learning Path
Master market cycles through our structured 12-month curriculum designed for developing practical investment skills and market understanding
Foundation Phase
Months 1-4
Analysis Phase
Months 5-8
Application Phase
Months 9-12
Market Fundamentals & Seasonal Patterns
Economic Cycle Recognition
Learn to identify quarterly patterns, earnings seasons, and how consumer behavior shifts affect different market sectors throughout the year.
Historical Pattern Analysis
Study decades of market data to understand recurring trends in energy, retail, technology, and agricultural sectors.
Calendar Effect Understanding
Examine phenomena like January Effect, Halloween Indicator, and holiday trading patterns with statistical evidence.
Portfolio Construction & Risk Management
Sector Rotation Strategies
Build model portfolios that capitalize on predictable sector movements while maintaining proper diversification principles.
Timing Framework Development
Create systematic approaches for entry and exit decisions based on seasonal probabilities rather than speculation.
Risk Assessment Techniques
Calculate position sizes, set appropriate stop-losses, and understand correlation risks between seasonal investments.
Advanced Analysis & Implementation
Quantitative Backtesting
Use spreadsheet tools and basic statistical methods to validate seasonal strategies against historical market data.
Market Anomaly Investigation
Research weather patterns, commodity cycles, and geopolitical events that create predictable investment opportunities.
Performance Monitoring Systems
Set up tracking methods to measure strategy effectiveness and make data-driven adjustments to your approach.
Meet Your Learning Guides
Our instructors bring decades of market experience and proven teaching abilities to help you navigate complex seasonal investment concepts
Kieran Blackwood
Portfolio Strategy Instructor
Kieran spent 15 years managing institutional portfolios before transitioning to education. He specializes in helping students understand complex market relationships through practical examples and case studies from his professional experience.
Brenna Stormwright
Quantitative Analysis Lead
Brenna brings a strong analytical background from her work in institutional research. She makes statistical concepts accessible by focusing on practical applications rather than complex mathematical theory.
Zara Nightingale
Risk Management Specialist
With extensive experience in risk assessment, Zara helps students develop disciplined approaches to investment decisions. Her teaching emphasizes building sustainable strategies rather than chasing quick gains.
Begin Your Learning Journey
Join our comprehensive program starting September 2025. Develop practical skills through guided instruction, peer collaboration, and hands-on project work.
Program Duration
12 Months
Class Format
Hybrid Learning
Start Date
Sept 15, 2025
Investment
,750 CAD