WHYSupplies external market observations
KRAKEN // VERIFIED CASE STUDY
Distributed Trading Data Platform
Shadow first. Cut over only on evidence.A multi-node data and ML platform combining dual-path market ingestion, analytical storage, experiment tracking, dashboards, alerts, and operator-gated execution.Models may train and shadow-score; validation gates and authorized operators control promotion and trading activation.
Connected architecture
Sanitized multi-node analytical and MLOps control plane.
WHYAcquires data without risky cutover
WHYPublishes tested analytical models
WHYPreserves analytical system history
WHYPreserves analytical system history
WHYMakes system health and outcomes visible
WHYMakes system health and outcomes visible
WHYDevelops governed model candidates
Evidence gallery
Read-only Grafana view of warehouse freshness, canonical and shadow row volumes, market-series continuity, and an explicitly visible no-data trading boundary.
Kraken private Grafana dashboard; captured through a temporary Viewer account with infrastructure identifiers excludedLive Airflow evidence of the hourly canonical OHLCV pipeline and fifteen-minute Kafka shadow path, including run history and schedule state.
Private Airflow control plane; temporary Viewer account with account identity redactedOne hundred tracked FreqAI experiment runs provide model-training lineage and repeatability evidence.
Private MLflow experiment tracker; host and infrastructure identifiers excludedSeven exported Grafana panels reconstructed without datasource URLs, credentials, hostnames, or live values.
Kraken exported Grafana JSON; not live telemetrySanitized role-based view of shadow ingestion, transformation, observability, model lifecycle, and operator authority.
Kraken audit, deployment, dashboard, and MLOps repository artifactsSanitized logical topology with evidence states.
Sanitized repository-derived dashboard or orchestration evidence is included above.
A short captioned product proof is still required.
Reviewed product-interface evidence is included above.
Production endpoints and sensitive artifacts stay disconnected until an identity provider and access policy are explicitly configured.


