Wizzer Quant Learning Path

LEVEL 2: Data, Signals & Strategy Logic Data, Signals & Strategy Logic level introduces how quantitative strategies are logically constructed from market data. Instead of treating indicators as black boxes, learners will understand them as mathematical transformations with strengths and limitations. LEVEL 5: Strategy Lifecycle & Failure Analysis Strategy Lifecycle & Failure Analysis level focuses on how strategies behave over time. You will learn about market regimes, performance degradation, and how to monitor strategies in live environments. LEVEL 6: Becoming a Practicing Quant Becoming a Practicing Quant level integrates everything learned so far into a repeatable research and execution workflow. Learners focus on process discipline, automation, review systems, and building a personal quant framework. LEVEL 3: Backtesting & Statistical Reality Backtesting & Statistical Reality level focuses on understanding what backtesting can and cannot tell you. Learners will explore the assumptions hidden in backtests and why good-looking results often fail to survive real-world conditions. LEVEL 1: Market Foundations for Quant Thinking Market Foundations for Quant Thinking builds the foundational understanding required before any quantitative strategy can be designed. The focus is on how markets function at a structural level—not on predictions, indicators, or trading tips. LEVEL 4: Execution, Risk & Capital Management Execution, Risk & Capital Management level addresses the gap between theoretical strategies and live trading reality. Learners will understand how execution quality, position sizing, drawdowns, and capital allocation directly impact outcomes.