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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 6 videos in All Videos.
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.
How to Run a Flexible Backtest in Python
Run a flexible backtest in Python with reusable workflows, configurable assumptions, and research-ready implementation.
How to Download Financial Data from Yahoo Finance
Download financial data from Yahoo Finance and organize it for repeatable research and analysis workflows.
How to Pull Index Constituent Data
Pull index constituent data and structure it for research workflows that depend on accurate universe membership.
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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.