Project Arqos: Governed Autonomy Framework
Responsible AI Architecture & Human-in-the-Loop System Design
Introducing arqos
A modular intelligence system engineered to rigorously assess and actively mitigate risk with calculated precision — pursuing stability, performance, and scale through discipline, not emotion.
Conceived in July 2025 as the sixth generation of previously coded autonomous trading systems, Arqos represents the culmination of months of experimentation in governed automation and self-auditing intelligence.
Built on codified human trade psychology and execution-strategy design, it operates through three synchronized engines: Evoryx, Arqos Core, and Naiyah.
system architecture
Evoryx — interprets market structure and behavioral context. It reads the environment, filters noise, and defines valid instances of codified strategic engagement.
Arqos Core — the autonomous execution layer and the sole engine connected to broker infrastructure. It maintains complete operational control of position management, order routing, and risk enforcement under explicit guardrails for size, timing, and exposure. Every decision path is deterministic, logged, and reversible, continuously informed by Evoryx’s contextual feed and Naiyah’s confidence telemetry.
Naiyah — governs adaptation and learning. Through Credence, Naiyah communicates with the Arqos Core throughout the trade life-cycle: scoring setups, informing trade-management context, and capturing post-execution evidence for calibration and oversight.
Beneath Credence operate Erythe and Oryn, forming the governance lattice that enforces integrity:
Erythe performs analytical audit and synthesis, detecting structural drift or confidence degradation and generating evidence-based proposals for refinement.
Oryn functions as the control plane, simulating proposals across live and shadow data, quantifying expected uplift and risk delta, and requiring explicit human approval before promotion. Every promotion or rollback is version-tracked for provenance.
Together, these engines form a self-auditing, compliance-aligned architecture capable of maintaining live-level autonomy while preserving complete transparency and rollback authority.
governance by design
Autonomy in Arqos is not independence; it is accountability at operational speed.
Evoryx and Naiyah stream continuous data to the Core, supplying live environmental context and confidence metrics.
Minor confidence-weight calibrations can self-apply automatically — with explicit logging, rollback protocols, and Oryn notifications for visibility and override.
Strategic or structural modifications must pass Naiyah’s HITL governance gate, ensuring that every adaptation remains traceable, reviewable, and compliant with predefined policy.
This structure delivers disciplined autonomy: automation that maintains control, audit integrity, and human governance even at full operational velocity.
Professional context
Arqos represents my applied specialization in governed AI systems and risk architecture, designing frameworks where autonomy, ethics, and regulatory compliance coexist.
It demonstrates the ability to translate behavioral insight into executable architecture and to design intelligent systems that scale trust, control, and performance in equal measure.
closing reflection
Arqos is not a trading bot.
It’s a proof of concept for responsible autonomy, an architecture where intelligence acts decisively, every decision is explainable, and governance is inseparable from execution.
All proprietary logic, data, and infrastructure remain confidential. This overview is presented for educational and design-governance illustration purposes only.