Built to process the market as it happens.
Topsys is headless and API-first: every layer below is a service your team, or ours, can call directly — so the platform grows with you instead of needing to be rebuilt.
From raw tick to trading signal in under a second.
Market data moves through five stages before it ever reaches a decision — each one built to be replaced or scaled independently.
Ingest
Real-time tick and order-book feeds from 14 venues, normalized on arrival.
Clean & align
De-duplication, timestamp alignment, and gap-filling across sources.
Feature build
Order-book depth, volatility, and cross-asset correlation features computed in-stream.
Model inference
Signal Engine scores the current state and attaches a confidence value.
Deliver
Signal, order, and risk events are pushed to your systems over the API in milliseconds.
Trained on history, checked against reality.
Every model starts on 11 years of tick-level historical data, split into training, validation, and held-out test periods so it's never graded on data it has already seen. Models are re-validated on a rolling basis against live market behavior, and any signal that drifts outside its expected confidence range is flagged for review before it reaches a live account.
- Walk-forward validation, not a single historical split
- Continuous drift monitoring against live data
- Every signal traceable back to its input features
Headless, API-first, built to be extended.
The interface you see is one client of the Topsys API — the same endpoints power our dashboard, your OMS integration, and anything your team builds next.
Headless by design
Frontend and backend are fully decoupled, so your interface can change without touching the trading logic underneath.
API-first
Every signal, order, and risk event is available over a documented REST and streaming API — built to connect to your CRM, OMS, or a system that doesn't exist yet.
Built to scale out
Add new instruments, venues, or model versions without re-architecting — the pipeline stages scale independently.
Want the technical deep dive?
Talk to our engineering team about your data feeds, integration requirements, and deployment model.