Models that sharpen decisions, not replace them
Fjord's intelligence layer handles the parts of trading that reward computation — research, routing and risk — and leaves the judgement to you.
Intelligence layer
Four capabilities, one stack
No black boxes. Every model we run for clients is documented, versioned and auditable — you can see why a trade was suggested and how it was executed.
Signal research
Feature pipelines over price, flow and macro data with reproducible back-tests.
Execution algorithms
TWAP, VWAP and liquidity-seeking routes tuned per asset class.
Risk automation
Exposure caps and drawdown circuit breakers enforced server-side.
Model monitoring
Live drift detection with alerts before performance degrades.
How it works
From idea to live capital
- Step 01
Define the mandate
Objectives, universe and constraints agreed with our quant desk.
- Step 02
Back-test honestly
Walk-forward testing on tick data with realistic slippage assumptions.
- Step 03
Deploy in shadow
Run live with no capital at risk until the fills match the model.
- Step 04
Scale with guardrails
Capital added in steps, each gated by monitored risk limits.
Transparency
You can read every decision the model made
Each suggestion is stored with the features that produced it, the venue it routed to and the risk limits in force at the time. Nothing is inferred after the fact.
0
Black boxes — every model is documented and versioned
24/7
Server-side risk enforcement, independent of your terminal
100%
Of suggested trades carry a readable rationale