ASSUMPTIONS
ideas, hypotheses, market views
Zeto is a quantitative research platform built to make assumptions, validation, diagnostics, artefacts, and research decisions visible across the full experiment lifecycle.
In most quantitative research workflows, critical pieces of the research state live in isolation. Context is lost. Lineage breaks. Decisions are made with incomplete evidence.
ideas, hypotheses, market views
universes, labels, model parameters
performance, stability, robustness checks
raw data, features, transformations
metrics, plots, reports, tables
review notes, approvals, next experiments
The result: fragile research, hidden assumptions, irreproducible outcomes.Science demands better.
Zeto is built around a disciplined research process with explicit assumptions, temporal integrity, walk-forward validation, and diagnostic evidence. Every result is reproducible, interpretable, and reviewable.
Define the economic intuition and edge to be tested.
HYPOTHESISDefine universe, labels, holding periods, constraints, and evaluation plan.
ASSUMPTIONSPreserve chronology across data, features, labels, and splits.
INTEGRITYTransform raw data into signals with clear definitions.
FEATURESExplore models and specifications to test signal power.
MODELLINGEvaluate through sequential splits with leakage controls.
OOS TESTINGStress-test results across dimensions and market regimes.
DIAGNOSTICSPersist artefacts, document lineage, and route for review.
GOVERNANCEZeto evaluates not just whether a strategy works, but why it works, when it works, and where it breaks. Every research output is accompanied by diagnostic artefacts.
All outputs validated and registered.
AI reviews results, highlights insights and risks.
Agent drafts next steps, alternatives, and rationale.
Human review and approval required.
Execution only after approval, fully logged.
Zeto supports the full research pipeline, from configuration to publication, with automated artefact generation and human-governed iteration. Every decision is grounded in numerical evidence.
Control universes, features, models, costs, and validation schemes.
From data to decisions, the full research flow is orchestrated.
Tables, plots, diagnostics, and reports are generated for every run.
Human review and approval remain present at every critical decision point.
Every decision is based on numerical evidence. Every output is traceable. Every run is reproducible.
The Research Showcase demonstrates the same disciplined, evidence-first approach across applied research examples.