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hadisoufi20/README.md

Hadi Soufi

AI Systems Architect · Independent Researcher · Founder, ZVAKTHOR

I build the control layer that decides whether an autonomous system's decision is allowed to reach production — execution governance, observability, and failure handling, not just a working demo.

ZVAKTHOR is an algorithmic execution platform for global financial markets. Specialist agents analyse markets independently; an isolated Rust core validates every decision for risk and execution eligibility before any order reaches the market. Every decision — accepted or rejected — is recorded and replayable. Designed for non-custodial licensing: clients would run it on their own broker accounts, and capital stays in their name.

Status — core architecture and the first agent group validated end to end in a demo environment. Next phase: full agent activation and live-account validation.

Research — SSRN working papers, 2026

  1. The Operating-Layer Dominance Hypothesis: Why Agentic Trading Alpha Is an Interface Problem, Not a Model Problem
  2. From Backtest to Deployment: A Staged-Capital Protocol for Evaluating Agentic Trading Systems
  3. A Three-Layer Reference Architecture for Deterministic Control in Agentic Trading Systems
  4. Why Discovery Layers Guarantee Crowded Alpha: A Design Case for Quality-Diversity Search in Agentic Trading Systems
  5. Order Invariance at the Last Language-Model Boundary: A Pre-Registered Test of an LLM Evidence Synthesizer Inside a Deterministic Trading Architecture

Public reference implementations

Repository What it demonstrates Tests
deterministic-control-reference Paper 3's control boundary: revocable authority, decision journal, deterministic replay 42
reliable-ai-workflow-engine Rule-based autonomous workflow with an enforced lifecycle and an audit trail 11
NexusQuant Agentic market-structure analysis (LangGraph · Groq · ICT/Wyckoff logic) 9

Links

Homepage · ZVAKTHOR overview · ORCID 0009-0009-4656-5983 · SSRN · LinkedIn · Books on Amazon · hadi@hadisoufi.com

The component that can influence a decision is not the component that authorises it.

Popular repositories Loading

  1. NexusQuant NexusQuant Public

    "Autonomous Agentic Framework for Institutional-Grade Market Structural Analysis and Risk-Governed Execution."

    Python

  2. reliable-ai-workflow-engine reliable-ai-workflow-engine Public

    Reliable, rule-based autonomous workflow system for invoice processing. Engineered for deterministic decision-making, observability, and auditability in high-risk environments.

    Python

  3. hadisoufi20.github.io hadisoufi20.github.io Public

    Source of hadisoufi.com — Hadi Soufi, AI Systems Architect. ZVAKTHOR: deterministic control for autonomous trading agents.

    HTML

  4. hadisoufi20 hadisoufi20 Public

    Profile — AI systems architecture, deterministic control, autonomous agents

  5. deterministic-control-reference deterministic-control-reference Public

    Public-safe reference implementation of the three-layer control architecture: discovery and reasoning propose, an isolated control core decides what may execute.

    Python

  6. zvakthor-order-sensitivity-2026 zvakthor-order-sensitivity-2026 Public

    Python