Douglas Stridsberg is a systematic portfolio manager based in Amsterdam with 11 years’ experience specialising in power, gas and emissions markets. He blends quantitative research and engineering—holding an MEng in Mechanical Engineering and backgrounds in mathematics and computer science—to design and manage systematic energy portfolios. His career spans sell-side derivatives structuring at J.P. Morgan, founding a quant startup, and research roles at SigTech and Capula, now applied to portfolio management at Ampulse Energy. A pragmatic coder and QA-minded back-end contributor to QuantConnect's widely used Lean engine, he has improved trade-statistics performance by implementing and optimising median trade-duration metrics. Known for bridging production-grade engineering with domain expertise in energy commodities, he favours data-driven, latency-aware solutions for market-facing models.
11 years of coding experience
7 years of employment as a software developer
Mathematics, Mathematics at Stanford University OHS
Computer Science, Computer Science at Linnaeus University
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Role in this project:
Back-end Developer & QA Engineer
Contributions:11 commits, 4 PRs, 37 comments in 4 months
Contributions summary:Douglas contributed to the core logic of the Lean Algorithmic Trading Engine, specifically improving trade statistics calculations by adding median trade duration metrics. They optimized the performance of the median calculations. The user also fixed issues related to data handling by updating tests to pass with new sample data files.
Unofficial Telegram bot for retrieving data from a QuantConnect live algorithm deployment.
Contributions:23 commits, 1 PR, 34 pushes in 2 years 6 months
telegram-botpythonquantconnectdeploymentbot
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Douglas Stridsberg - Portfolio Manager at Ampulse Energy