Proposed orderBTC-PERP · BUY · £240,000Venue 02
- Position limitwithin policy
- Venue healthwithin policy
- Order-book depthreview required
GateHOLD · REVIEW SIZE
Risk & Execution
Aegis AI
by OKAI SolutionsA defensive layer between signal and action.
Checks proposed orders against exposure, liquidity, venue health and hard limits. If a feed is stale or a rule breaks, execution stops and the reason is logged.
See how it works ↓- Used by
- Algorithmic trading teams, crypto funds, market makers and risk operators
- Inputs
- Orders, positions, limits, order-book liquidity, volatility, venue health and live portfolio exposure
- Produces
- Pre-trade checks, position sizing constraints, circuit-breaker decisions, escalation events and an immutable audit trail
What happens when Aegis AI is in the loop.
A valid signal can still become an unsafe order when liquidity thins, exposure changes or a venue starts behaving abnormally.
Aegis checks the proposed order against live positions, liquidity, venue health and hard policy before it leaves the system.
The order is approved, resized or stopped. Every check, override and operator decision remains in the execution record.
Inside Aegis AI
Every proposed order meets current market state and hard policy before it reaches a venue.
Acceptance targets
These are validation criteria for a scoped pilot. They are not presented as observed customer results.
Every order is checked against current exposure and configured limits
A stale market or portfolio feed blocks automated execution
Circuit-breaker events record the trigger, decision and responsible operator
Retry and failover tests produce no duplicate orders
Start with the workflow
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