Research-driven posts on quantitative trading, covering volatility, alternative data, and systematic strategy infrastructure, often with code to replicate results. It also includes updates on the author's Alphanume data platform and consulting services.

A public journal documenting the development and testing of rules-based BTC perpetual futures trading systems, including setups, risk measurement and experiment design. Readers get a transparent, first-person account of the trader's rules, mistakes and results.

A working quant trader writes informal, first-person explorations of modeling problems such as diagnosing ML and linear regression models and turning discretionary crypto views into quantitative portfolios. Readers get practical, exploratory thinking from practice rather than prescriptive guides.

A weekly performance brief from a systematic crypto options trading operation, reporting portfolio returns against Bitcoin and commentary on implied volatility and spot-volatility correlation. It mainly promotes the fund's proprietary strategies, with little verifiable detail on methods.