Sample first
We pin down instruments, venues, calendars, exclusions, costs, and sampling rules before choosing a model.
Quantitative research firm
Deep Wave Research explores how new methods, models, and ideas can reveal useful structure in complex, adaptive markets. We test emerging approaches against real market problems and keep the evidence that survives outside the lab — clear enough to act on, honest enough to challenge.
Our approach
Testing an emerging method is only worth it if the result survives outside the lab. A finding isn't finished when the number looks right; it's finished when the path to it is on the page and someone outside the work can scrutinize it. That discipline applies to every study, not just the write-up at the end.
We pin down instruments, venues, calendars, exclusions, costs, and sampling rules before choosing a model.
We measure every decomposition, label, and model class against simple rules that stay interpretable.
We keep each result's assumptions and failure modes attached to the number itself, not hidden in an appendix.
Research
The work below runs across signal processing on price series, order-book microstructure and execution, factor and forecast research, macro and rates, risk-regime detection, and model governance.
Capabilities
We focus on questions current methods handle poorly: what a sample really contains, whether an effect survives costs and regime changes, and what a model is actually learning — where new data, theory, and computational tools add the most value.
Coverage
We work where frontier research has to become clearer insight — across portfolio, execution, risk, and market-understanding work.
Work with us
We bring deep expertise and purpose-built methods across signal processing, microstructure, forecasting, risk, and execution. Tell us the problem you're facing and where your current approach stops working, and we'll build a solution around it, as advanced as today's methods allow.
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