YouTube
A channel focused on serious quant education, not surface-level finance content.
The Code & Kapital channel exists to teach implementation-minded quantitative finance: Python workflows, backtesting discipline, financial datasets, factor research, and research system design.
Channel mission
Use educational media to help serious builders understand the systems, assumptions, and engineering discipline behind robust quant work.
Showing 6 of 9 videos in All Videos.
Leveraging and Applying Margin in Python
Learn how to lever a minimum variance portfolio up to the volatility of an equal weight portfolio and how to infer the implied margin behind that comparison.
Minimum Variance Weighting: How the Method Works
See how minimum variance weighting uses the covariance matrix to minimize total portfolio risk and why estimation choices materially affect the final allocation.
Pulling Macroeconomic Data with the FRED API
Pull macroeconomic data from the FRED API and build a cleaner workflow around metadata, observations, and revision-aware research.
Building a Security Master with FIGI Instead of Tickers
Build a security master around FIGI identifiers instead of tickers, and see why durable instrument mapping matters in research systems.
Inverse Volatility Weighting: How the Method Works
Learn how inverse volatility weighting works, how portfolio weights are assigned, and which trade-offs matter in real implementation.
Backtesting Strategies
Why look-ahead bias, survivorship bias, and unrealistic execution assumptions quietly destroy otherwise promising studies.
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Education aligned with the broader company mission.
Get practical, implementation-focused education that helps you go deeper into quantitative research, systematic investing, and the data workflows behind serious market work.