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ORBITRAONE
AegisOrbitra Prime

Unified portfolio risk graph

One portfolio. One graph. One verdict.

Aegis is the risk engine beneath every account on ORBITRA ONE™. It models collateral, volatility, liquidity, concentration, correlation, counterparty exposure, Greeks, liquidation paths and protection policies as one connected graph, and evaluates that graph inside ApexMatch before any order reaches the book. For margin modes as a trader uses them, see risk; this page describes the engine.

How it moves

Six dimensions around one portfolio

Illustration: A radial graph with Aegis at its center and six risk dimensions around it: collateral, volatility, liquidity, concentration, correlation and counterparty exposure. The shaded shape shows a portfolio’s current exposure; selecting a dimension shows how a change in it propagates to margin, limits and liquidation distance.

AEGIS

Unified risk graph

Select a risk dimension

Collateral · Volatility · Liquidity · Concentration · Correlation · Counterparty

Margin used
Liquidation distance

A radial exposure graph with the portfolio at its center and six risk dimensions around it: collateral, volatility, liquidity, concentration, correlation and counterparty. Hovering over or focusing a dimension shows how a change in it, such as a deeper collateral haircut or a volatility spike, flows through to margin used and liquidation distance at the center.

The problem

Why risk must be computed as one system

Most trading stacks measure risk in silos. The perpetuals venue knows its margin, the options desk knows its Greeks, the custodian knows the collateral and the bot platform knows nothing at all. Each silo can look healthy while the combined portfolio sits one move away from forced liquidation.

Silos also fail in time. Risk is often checked after the fill, recalculated on a timer and enforced by liquidation engines that act on a single price source. The first moment a trader sees the true exposure is too often the moment it is being closed.

Aegis treats risk as a property of the whole portfolio. It is computed before commitment, recomputed as markets move and unwound by rules published in advance. Offsets are recognized where the margin mode allows, and hidden concentrations are surfaced.

Operating sequence

Pre-trade. In-trade. Protect. Recover.

Every operation reads the same graph, so the figure a trader sees before confirming comes from the rules that later protect the account.

  1. 01

    Map

    Positions, collateral balances, open orders, agent permissions and protection policies become nodes in the account’s graph. Edges carry correlation, collateral haircuts and counterparty links.

  2. 02

    Preview

    Before confirmation, the proposed order is applied to a copy of the graph. Margin used, liquidation distance, concentration and any policy the order would touch return to the ticket.

  3. 03

    Gate

    When the sequenced order reaches ApexMatch, Aegis evaluates it again, synchronously, against current state. The preview is advisory; the gate is authoritative. A breach is rejected with its reason.

  4. 04

    Stream

    Each Prism update re-prices only the nodes it affects. Exposure, stress results and collateral quality stay current without recomputing the whole portfolio.

  5. 05

    Protect

    Stops, hedges, circuit breakers and agent kill switches fire on the conditions their policies define — before maintenance margin is exhausted, not after.

  6. 06

    Recover

    If maintenance margin is breached, partial liquidation reduces exposure along the account’s precomputed path until margin is restored. Losses beyond the account’s collateral follow the insurance waterfall; auto-deleveraging applies only under published conditions.

Architecture

Inside the risk engine

Aegis is a native market-services module of Orbitra L1. Its components are deterministic: given the same state, parameters and market inputs, every validator reaches the same verdict.

  1. 01

    Exposure graph

    The account-level data model. Nodes are positions, collateral, open orders, agents and policies; edges carry what makes risk non-additive — correlation, haircuts, shared counterparties and hedges.

  2. 02

    Market inputs

    Signed mark prices and confidence scores from Prism, order-book depth from ApexMatch and implied-volatility surfaces for options. Confidence is an input to the model, not a footnote.

  3. 03

    Margin models

    Isolated, cross and portfolio margin run on one graph. Portfolio margin evaluates the account across price and volatility scenarios, recognizing offsets that per-position margin ignores. Options add delta, gamma, vega and theta.

  4. 04

    Pre-trade simulator

    Applies a proposed order to a copy of the graph and returns the post-trade state. The same simulator serves the ticket preview, Cortex agent simulations and the synchronous gate.

  5. 05

    Stress engine

    Replays the portfolio through regime shocks, correlation breaks and liquidity withdrawal. Results stream to the account and are available through stress and scenario APIs.

  6. 06

    Policy store

    Holds user stops, institutional limits and agent policies as versioned state. Every verdict records the policy and parameter versions it was computed under.

  7. 07

    Recovery engine

    Maintains each account’s liquidation path, executes partial liquidation through reduce-only orders and applies the insurance waterfall and auto-deleveraging ranking in a fixed order.

Security and failure control

How Aegis fails safely

Aegis controls how risk is measured, limited and unwound; it does not remove market risk. Leverage can magnify losses as well as gains — see trading and leverage risk. Its own failures are designed to err toward protection.

  • Fail-closed gateIf an order cannot be evaluated — missing inputs, an unknown instrument, a stale mark — it is rejected. Uncertainty never defaults to acceptance.
  • Confidence-aware liquidationA low-confidence mark cannot trigger a liquidation on its own. The market’s circuit-breaker policy applies first, so a single bad print does not close positions.
  • Replayable verdictsRisk parameters are versioned state. Any margin call, rejection or liquidation can be replayed against the exact parameters and inputs in force at that transition.
  • Bounded recoveryPartial liquidation comes first, the insurance waterfall second and auto-deleveraging last. Every account can see its place in the ADL ranking and the conditions that would activate it.
  • Independent kill controlsAgent kill switches and institutional kill controls act through a path separate from order entry. Stopping an agent withdraws its permissions and resting orders; its positions stay under the account’s protection policy.

Across the three systems

One risk view across Prime, L1 and Realm

Orbitra Prime

Trading intelligence

Every order ticket in Orbitra Prime shows the Aegis preview — margin used, liquidation distance and policy impact — before confirmation. The portfolio risk panel is a direct view of the account’s graph, and risk explains the margin modes it supports.

Orbitra L1

Settlement and compute

On Orbitra L1, Aegis sits in the market-services layer beside ApexMatch. It evaluates orders inside the same state transition as ApexMatch, reads Prism market state, and its verdicts are replayed by validators before QSE finalizes them.

Orbitra Realm

Applications and commerce

Realm applications that hold positions or collateral for a user register them in the same graph, so a treasury tool or tokenized-asset vault sits inside the owner’s risk view, not beside it. Agents running in Realm answer to the same kill controls.

Value

What Aegis gives each participant

Traders and users
You see an order’s consequences before committing, and the rules that would protect or unwind the account are visible in advance. Partial liquidation reduces exposure in steps rather than all at once.
Institutions
Real-time limits, stress and scenario APIs and independent kill controls run on one engine. Deterministic verdicts can be replayed for model validation, risk committees and post-incident review.
Developers
Pre-trade simulation, liquidation distance and scenario results are callable primitives through NexusSDK, so an application can show real portfolio risk without building its own margin engine.

Specifications

Specifications

Risk dimensions
Collateral, volatility, liquidity, concentration, correlation, counterparty exposure and Greeks
Margin modes
Isolated, cross and portfolio margin on one graph
Phases
Pre-trade, in-trade, protect, recover
Order gate
Synchronous and fail-closed, inside the ApexMatch state transition
Market inputs
Prism signed marks with confidence scores, order-book depth, implied-volatility surfaces
Protection
User-defined stops, hedges, circuit breakers and agent kill switches
Recovery order
Partial liquidation → insurance waterfall → transparent auto-deleveraging
Determinism
Identical state, parameters and inputs produce an identical verdict on every validator
Interfaces
Pre-trade preview, stress and scenario APIs, signed risk verdicts

Terminology

Terminology

Liquidation distance
How far the market can move against an account before maintenance margin is breached, shown before and after each order.
Liquidation path
The precomputed order in which Aegis would reduce positions to restore an account’s margin.
Haircut
The discount applied to a collateral asset’s value to reflect its volatility, liquidity and counterparty risk.
Insurance waterfall
The published order in which losses beyond an account’s own collateral are absorbed.
Auto-deleveraging (ADL)
A last-resort mechanism that reduces opposing positions when the insurance waterfall cannot absorb a loss. Its ranking and trigger conditions are visible in advance.

ONE NETWORK. INFINITE MARKETS.

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