Robert Carver is an independent systematic trader, author and research consultant with over a decade of experience designing and managing quantitative strategies, including running a $5bn fixed income portfolio at AHL. He combines deep academic training in economics with hands‑on trading and software development—maintaining an open‑source Python systematic trading engine (pysystemtrade) that underpins his fully automated futures and ETF portfolios. As a visiting lecturer at Queen Mary and a retained research advisor to digital‑assets and CTA funds, he translates research into practical trading systems and bespoke consulting. An engaging writer of four books on systematic trading and portfolio construction, he also consults on strategy design, expert testimony and in‑house training, and is blunt about the boundaries of unpaid advice. Unusually, his background spans exotic derivatives structuring, macro research management and frontline portfolio implementation, giving him a rare end‑to‑end perspective on quant trading.
10 years of coding experience
9 years of employment as a software developer
A Levels, Mathematics (A), Further Mathematics (A), Economics (A), Physics (A), A Levels, Mathematics (A), Further Mathematics (A), Economics (A), Physics (A) at Dubai College
BA, Economics, First class honours, BA, Economics, First class honours at The University of Manchester
Incomplete (first year Bsc only), Computer Science, Incomplete (first year Bsc only), Computer Science at University of Cambridge
Msc, Economics, Distinction, Msc, Economics, Distinction at Birkbeck, U. of London
Contributions:1 release, 31 reviews, 1207 commits in 5 years 11 months
Contributions summary:Robert primarily focused on enhancing the core functionalities of a systematic trading system built in Python. They added capital-related features, with a particular emphasis on a capital management system including several strategies, and incorporated P&L tracking. The code changes include modifications to modules related to data production and management, including changes to the data model by adding P&L tracking and implementing methods for calculating capital.
Contributions:444 pushes, 36 comments, 119 issues in 1 year 5 months
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