Multi-model evidence
Combines statistical forecasts, learned signals, market structure, and portfolio context.
All features
Local trading intelligence
Adaptive Trade Engine
A layered decision engine that evaluates market evidence, portfolio rules, and execution quality before acting.
AvailableThe Adaptive Trade Engine runs on the customer-owned Black Box and coordinates predictive models with deterministic controls. It continuously evaluates pricing, liquidity, portfolio exposure, and learned outcome evidence while keeping every action inside configured limits.
What it contributes
A focused capability inside the larger system
Bounded automation
Trade amount, exposure, confidence, and risk settings remain explicit and observable.
Outcome feedback
Recorded fills and holding outcomes help the system measure which signals work in changing regimes.
How it works
A visible path from intent to outcome
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01
Observe
Collect same-exchange market evidence and normalized cross-market context.
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02
Evaluate
Blend model confidence with product quality, capital pressure, and portfolio policy.
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03
Execute
Route qualified decisions from the Box directly to the connected exchange.
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04
Learn
Compare predictions with realized execution and holding outcomes.
Controls and boundaries
Automation with a defined operating envelope
- The customer defines portfolio and exposure limits.
- Exchange credentials remain encrypted on the Box.
- Every decision and order transition is auditable.