Creator
Algebraic Continuation summaries
Every long episode from Algebraic Continuation, read in minutes: the key takeaways, the chapters, and a digest of the whole conversation. Quant Researcher with a background and PhD in computational/theoretical physics.
Applied Statistics for Quants | A Gentle Introduction
Applied Statistics for quants emphasizes a solid understanding of information theory, particularly in quantifying differences between probability distributions.
How to Become A Quantitative Developer | Roadmap
Mastering the quantitative developer job market relies on developing a T-shaped skill profile and enhancing your candidate profile for better opportunities.
Become a Quantitative Researcher | Quant Roadmap
Learn the essential steps to become a successful quantitative researcher, covering education, self-study, and interview readiness.
Quantitative Finance and Algo Trading in Python | Statistical Arbitrage
This video explores statistical arbitrage using Python, focusing on cointegration and SVD to find profitable trading strategies, and discusses regime detection to mitigate risk.
2026 Quant Roadmap | Projects Skills and Tips to become a Developer Trader or Researcher
Learn the high-leverage skills and strategic project focus needed to break into quantitative finance roles (Developer, Trader, Researcher) by optimizing your skill point allocation.
Quant Roadmap for 2025 | Algorithmic Trading and Quantitative Finance
A Quant roadmap for 2025 emphasizing project-based learning for skills like statistical arbitrage, pdes, and AWS deployment, crucial for breaking into quantitative finance.