Technology

Pragmatic architecture that scales with you. Our control plane ingests and scores signals; our execution plane maintains stable broker connections with risk guardrails.


Architecture at a glance

Control plane (cloud) — Signal ingestor, scoring, features API, MLflow UI

Execution plane (stable) — Order router, risk manager, position service, long-lived sockets

Data — Postgres (metadata), Redis (hot cache), Parquet on object storage (backtests)

Tooling — GitHub Actions CI/CD, OpenTelemetry → Grafana, Sentry

Security — EU-first residency, secrets management, signed webhooks, audit trail

Tech FAQ

Can I self-host strategy code?

Yes—LEAN CLI is compatible; we also ingest signals via REST/webhooks.Provide a detailed answer.

Do you require Kubernetes?

No. Start serverless or on one VPS; scale as needed.

Talk architecture with us

Signal Ingestor (REST/Webhooks)

Verifies, normalizes, persists incoming signals.

Scoring Service

Weights, decay, regime vetoes → final_score with TTL.

Feature Service

Online features via Redis; offline features for training.

MLflow Registry

Experiments and model versions; ONNX/TorchScript.

Risk Manager

Pre-trade caps, leverage limits, daily loss guards, kill switch.

Observability

Metrics, logs, traces with redaction & alerts.