Reconstruct
Normalize the decision-to-outcome chronology into a single verifiable timeline.
Alistair BeaumontQuant Systems & Trading Architecture
Independent post-trade accountability
ABQ Forensics reconstructs the path from decision to outcome—so trading teams can investigate what happened, establish why it happened, and preserve the supporting record.
Illustrative SaaS interface. Representative data only.

The problem / 01
When a trade underperforms, the explanation is often fragmented across strategy decisions, order events, market context, infrastructure records, and human intervention. ABQ brings that record into one coherent investigation without taking control of the trading system.
Normalize the decision-to-outcome chronology into a single verifiable timeline.
Separate strategy behavior, execution effects, market conditions, intervention, and data-quality issues.
Create a durable record with explicit evidence quality, integrity status, and analysis provenance.
Deliver a concise investigation through human-readable reports and portable evidence packages.
Operational clarity / 02
The platform is designed for teams that need more than a performance chart or a narrative explanation. Each assessment remains tied to the underlying chronology, the evidence available, and the exact analytical context used at the time.
Systematic funds, proprietary desks, platform operators, risk functions, and specialist reviewers.
A neutral post-trade record that can be examined without relying on memory or retrospective narrative.
ABQ does not generate signals, submit orders, or make live trading and risk decisions.
Portable evidence / 03
ABQ produces a portable record designed for internal review, governance, technical investigation, and independent examination.
Illustrative product interface — final SaaS presentation may evolve.Trust architecture / 04
The same qualified record and analysis version produce the same result—reducing discretionary hindsight.
Customer evidence remains logically separated and access-controlled across the product boundary.
Integrity checks make silent alteration detectable while preserving clear limits on what the evidence proves.
Portable packages are designed to remain reviewable without dependence on the live ABQ application.
Deliberate disclosure
This page describes the platform’s purpose, operating boundary, and user value. Proprietary attribution logic, rule configuration, evidentiary implementation, data contracts, security controls, and technical architecture are intentionally not disclosed.
ABQ Forensics