Infrastructure
Research infrastructure built before the engagement starts.
This isn't bespoke notebook consulting. The data layer, the validation harness, and the path to production already exist, so the engagement is spent on your question.
01
Data
Point-in-time ingestion, futures and options surfaces, historical/live reconciliation, and provenance for every field that enters an experiment.
02
Experimentation
Target registry, feature pipelines, baselines, walk-forward evaluation with purge and embargo, frozen decisions, and reproducible runs.
03
Modeling
Linear and nonlinear models, classification and tail models, hyperparameter optimization, and evolutionary search when the problem warrants it.
04
Production
Live feature computation, model serving, monitoring, and integration with the systems you already run.
You aren't paying for a research stack to be invented.
Most of the cost of standing up quantitative research is infrastructure that has nothing to do with any particular strategy: clean history, honest timestamps, a harness that can't be talked into a result. That is reusable, and it is already built.
The platform remains Volatility Street technology. What you receive is everything specific to your engagement: assumptions, data lineage, validation decisions, and the outputs themselves, documented and delivered.
See the protocol the infrastructure enforces. How the research works
Discuss a research problem