Evidence first
Decisions rest on point-in-time data and out-of-sample testing, with realistic allowances for costs and execution.
Systematic study of U.S. equity markets, grounded in data, tested with discipline, and built to last.
About
Owlgorithmic is an independent quantitative research practice. We design, test, and operate systematic strategies for U.S. equity markets, combining careful data work with purpose-built software.
Every idea begins as a hypothesis and is evaluated against historical evidence before it is considered for use. We favour simple, explainable rules over complexity, and we treat risk management as part of the research rather than an afterthought.
Principles
Decisions rest on point-in-time data and out-of-sample testing, with realistic allowances for costs and execution.
Position sizing, diversification, and clear rules for when to step aside come before return targets.
Research, backtesting, and operations share one auditable platform, so what is tested is what runs.
Contact
For research collaboration or general inquiries, we would be glad to hear from you.
owlgorithmic6@gmail.com