Alistair BeaumontQuant Systems & Trading Architecture

The forensic control plane for institutional trading

See the system.
Explain the trade.
Prove the record.

ABQ Forensics watches how your trading systems behave, explains why each trade ended the way it did, and preserves every answer as evidence built to withstand scrutiny—without ever touching an order.

Open Demo →Discuss the platform →
Deterministic forensic enginesAI narrates, people decideProof beyond ABQNo execution authority
Product experience / Command Center

Representative workspace · controlled data

The problem / 01

Records show what happened.
Rarely why. Seldom with proof.

When performance slips, the explanation is scattered across strategy logic, order events, venues, market conditions and human hands. ABQ assembles it into one accountable record, at the level of the whole system and of every single trade.

01

System Health

Know when a system starts behaving differently.

Every strategy and version is measured against its own established baseline: latency, slippage, rejections, partial fills and rule adherence. A deviation is declared only when it is statistically established and persistent, and market stress is separated from execution-specific deterioration.

  • Cohort baselines
  • Robust statistics
  • Incidents with affected trades
02

Early Warning

See gradual drift before it becomes an incident.

Once enough trades have accumulated, a deterministic layer flags emerging drift in execution quality before System Health’s incident criteria are met, and routes it to review. It reports observations; it never makes forecasts.

Not a guarantee that every issue will be identified in advance.

03

Trade Autopsy

Explain every trade, from decision to outcome.

ABQ reconstructs the full chronology and attributes the outcome to strategy, execution, market, human intervention or data integrity, or confirms it as normal. Each verdict carries its confidence, its evidence quality and an explicit claim boundary.

  • Primary attribution
  • Confidence & evidence quality
  • Supported, never absolute
04

Forensic Brief

One paragraph, one review list. People decide.

AI writes the brief only from ABQ’s deterministic results, using pseudonymized facts, behind a validator that rejects any figure it was not given. Review items come from rules, never from AI, and only a person can close them. Every material event stays in order in Forensic Activity.

  • AI enabled per workspace policy
  • Deterministic fallback
  • Human-only completion

Evidence spine / 02

One evidence spine.
Every conclusion accountable.

Manual uploads, authenticated API delivery and connected sources all enter the same controlled lifecycle. Every engine reads the same canonical evidence, so the brief, the system view and every autopsy tell one consistent story.

  1. 01Controlled
    Admission    Manual · API · connected
  2. 02Canonical
    Evidence    Append-only
  3. 03Integrity &
    Quality
  4. 04System Health &
    Trade Autopsy
  5. 05External
    Assurance    Policy-selected
  6. 06Forensic
    Output    Reports · evidence package
Enterprise boundary

Designed for ABQ-managed and customer-controlled deployments, with evidence remaining inside its declared storage and access boundary.

Trust architecture / 03

Trust is layered.
Claims stay bounded.

ABQ keeps the integrity of a record, the quality of its evidence, its portability and its external proof as separate states. One status never silently stands in for another.

01

Internal integrity

The accepted record is append-only and chained, so silent alteration is detectable. Integrity confirms continuity—not completeness or real-world truth.

02

Evidence quality

Missing, weak or unauthenticated evidence is kept from becoming an unjustifiably strong conclusion.

03

Portable evidence

A self-contained evidence package keeps each investigation examinable outside the live platform, provenance and limitations intact.

04

External assurance

Verifiability extends beyond the ABQ trust boundary through policy-selected proof routes.

Validated capability / Public Anchor

Proof that can outlive the platform.

OpenTimestamps→Bitcoin mainnet→Independent verification
Bitcoin-backed anchoring, without publishing customer data.

Only an opaque SHA-256 commitment leaves the controlled evidence boundary. The route is validated against Bitcoin mainnet and provisioned as policy requires.

Built forInstitutional review

Trading, risk, operations, governance and platform teams.

Operating boundaryNo execution authority

ABQ never generates signals, submits orders or makes live trading or risk decisions.

AI boundaryNarration only

AI never computes, decides or attributes. It is off unless a workspace policy enables it.

Deployment boundaryControl where evidence lives

ABQ-managed or customer-controlled, within the declared data boundary.

The vision / 04

Product direction

The accountability layer for
institutional trading systems.

ABQ began with a single trade. It now reads the whole system. The direction is accountability across the entire trading operation.

Trade ForensicsOperational→System ForensicsOperational→Institutional Trading AccountabilityDirection

ABQ Forensics

Turn post-trade uncertainty
into an accountable record.

Open Demo →Start a private conversation →
Detailed security controls, data contracts, assurance procedures and proprietary attribution logic are available through controlled technical diligence.