
Market Data Foundations
Start with clean market data, reproducible notebooks and the core measures that make analysis comparable.
Explore moduleTen focused modules for learning to work with market data, research systematic ideas and communicate results with rigor.

Start with clean market data, reproducible notebooks and the core measures that make analysis comparable.
Explore module
Structure an investment research question, assemble usable datasets and document every decision behind the result.
Explore module
Use models, simulations and volatility surfaces to reason about options with practical context.
Explore module
Move from an investment hypothesis to a measured research process with realistic assumptions and robust tests.
Explore module
Build and validate predictive research pipelines without losing sight of time, uncertainty and implementation risk.
Explore module
Connect growth, inflation and market regimes through a clear framework for testing macroeconomic signals.
Explore module
Use probabilities, calibration and scenario thinking to make allocation choices more explicit and reviewable.
Explore module
Study relationships between related assets with careful data alignment, costs and realistic interpretation.
Explore module
Interpret drawdowns, concentration and liquidity constraints before they become after-the-fact explanations.
Explore module
Challenge a result with sensitivity checks, alternative samples and a structured review of what could be wrong.
Explore module