Technical newsletter on quantitative trading research, covering event-driven strategies, macroeconomic signal construction, and hypothesis testing frameworks, often with code. Readers get structured, methodology-focused lessons on avoiding look-ahead bias, defining signals, and validating trading ideas.
Website: https://www.quantbeckman.com
Kris from Robot Wealth writes about building and running systematic trading strategies, drawing on live trading experience and research. Issues cover mechanism-first strategy design, statistical arbitrage details, and lessons on judgment and trading operations.
A daily pre-market brief that picks five verified signals, mostly recent quant finance and machine learning preprints plus market data, and labels each as fact, inference or uncertainty. It also draws out implications for volatility, execution, factors and MATLAB implementation.
Independent research essays on markets, macro and AI-related investing, often backed by data, charts and backtests. Readers get analysis of valuation signals, risk management rules and the power and capital constraints on the AI buildout.
A practitioner-written newsletter on agentic engineering, AI-assisted software development and systematic investing, drawn from the author's experience as a portfolio manager. Issues cover how to use agent loops, why human expertise still matters, and how to frame engineering as a search problem.
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