YouTube
Educational MediaVideo lessons for practitioners who want implementation-minded quant education.
The channel extends the research through videos on signals, strategy behavior, portfolio construction, backtesting, and the broader quantitative topics that support serious investment work.
Showing 6 of 10 videos in All Videos.
Momentum Investing and Signal Research
An introduction to momentum as a quantitative signal, including the core intuition behind trend persistence and how momentum ideas fit into systematic research.
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.
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Topics
Coverage aligned with the broader research mission.
The focus is signal and strategy education first, with broader quant topics included where they sharpen judgment around portfolio design, research quality, and implementation.
Investment strategies and signals
Signal intuition and cross-sectional behavior
Portfolio construction and weighting algorithms
Signal validation and backtesting
Systematic equity research
Machine learning for quantitative investing
Broader quantitative education for serious practitioners