BUILD / 04 — PRODUCT OVERVIEW
DETERMINISTIC EXPERIMENTATION & RESEARCH GOVERNANCE
QRSIP — QUANT RESEARCH STRATEGY INTELLIGENCE PLATFORM
Deterministic quantitative experimentation and research governance platform.
QRSIP governs the life of a quantitative research idea: hypothesis → experiment → verification → artifact → report → promotion. 352 tests with deterministic fixtures, CI security validation, and a promotion gate that decides when evidence is strong enough to graduate a strategy.
352
TESTS
TEST-SUITE
DETERMINISTIC FIXTURES
pytest 8.4.2 on Python 3.12; 352 passed at baseline 8fc4590 (2026-09-25)
6
WORKFLOW STAGES
HYPOTHESIS → PROMOTION
ALPHA
PLATFORM STATUS
CORE WORKFLOW LIVE
SYSTEM INSTRUMENT / QRSIP
VISUAL METAPHOR — EXPERIMENT GRAPH / VERIFICATION PIPELINE
INSTRUMENT / GOVERNANCE FLOW
INSTRUMENT / EXPERIMENT TOPOLOGY
Experiment states across the verification landscape. Nothing reaches PROMOTION without a verified artifact and a documented limitation.
THE BUILD AT A GLANCE
WHAT IT IS, WHAT IT SOLVES, HOW IT IS BUILT — THE FULL EVIDENCE CHAIN LIVES IN THE CASE STUDY
THE PROBLEM
Quantitative research dies in notebooks. An idea is explored, a chart looks promising, and a number gets screenshotted — but the exact conditions that produced it are lost.
Without governance, results cannot be promoted with confidence, and failures cannot be distinguished from successes because neither was recorded with sufficient discipline.
WHAT IT DOES
- Encode the research workflow as explicit stages with defined entry and exit criteria
- Make every experiment reproducible through deterministic fixtures
- Produce verifiable artifacts and reports automatically from runs
- Gate strategy promotion on verified evidence
RESEARCH QUESTION
Can the full lifecycle of a quantitative experiment — from hypothesis to promotion decision — be captured as deterministic, verifiable artifacts?
ARCHITECTURE
ARCHITECTURE — DATA PATH
ARCHITECTURE DIAGRAM — THE DOCUMENTED LAYERS, NOT A MEASUREMENT
- 01
HYPOTHESIS
Research intake
- 02
EXPERIMENT
Deterministic execution
- 03
VERIFICATION
Evidence checking
- 04
ARTIFACT
Evidence capture
- 05
REPORT
Structured reporting
- 06
PROMOTION
Governance gate
TECHNOLOGY
KEY EVIDENCE
STATUS
Alpha-stage workflow: hypothesis → experiment → verification → artifact → report → promotion
CURRENT STATE
ALPHA
Alpha stage — core workflow implemented; deferred systems not yet built.
LAST VERIFIED 2026-09-25 — pytest 8.4.2 (Python 3.12): 352 passed; CI and Security workflow runs passed · BASELINE 8fc4590 · VIEW THE RUN →
TRY IT
INTERACTIVE MODULES
GO DEEPER
THE FULL EVIDENCE CHAIN
Problem, hypothesis, architecture, methodology, experiments, results — and the failures and limitations beside them. The case study is the full write-up for this build.