Capital OS: Tier-2 Sovereign AI-Native Capital Operating System (Proprietary, Restricted)

Description / Abstract Capital OS is a sovereign, AI-native capital operating system designed for deterministic, post-quant financial infrastructure research. It is not a trading system, signal service, or portfolio management tool. Instead, it provides a fully controlled, reproducible environment for simulating and governing capital as a self-regulating organism. Key characteristics: Deterministic physics kernel: Governs all capital state transitions according to immutable rules. Immutable constitution: Legal-safe, signed kernel and governance laws. Sandboxed strategies: Isolated computational agents whose results feed the kernel without exposing market-sensitive actions. Synthetic adversarial universes: Procedural simulation of extreme market regimes for research stress-testing. Deterministic replay & time-travel debugger: Forkable histories, forensic analysis, and invariant verification. Research-only external interface: Telemetry of system health, physics indices, and capital stress metrics; explicitly no price data, strategy signals, or trading instructions. Distributed integrity: Minimal replication and hash verification ensure reproducibility and sovereignty. AI-native: Fully programmatic, machine-consumable, without human narrative dependencies. The system is intended for internal R&D, academic-style research collaboration, and experimentation while preserving full proprietary control and avoiding IP leaks. Intended Use: Research into deterministic market regimes and capital governance. Validation of constitutional invariants in financial infrastructure. Simulation of adversarial conditions for stress-testing capital management protocols. Restrictions / License: Proprietary and restricted access. Redistribution, replication, or reverse engineering is prohibited. No part of the kernel or research outputs contains actionable market signals, strategy weights, or trade instructions.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-22
DOI
https://doi.org/10.5281/zenodo.18732380
Primary Topic
Leadership, Behavior, and Decision-Making Studies
Type
article
Field-Weighted Citation Impact
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article

Capital OS: Tier-2 Sovereign AI-Native Capital Operating System (Proprietary, Restricted)

Mohamed Hamdi KAANICHE
Zenodo (CERN European Organization for Nuclear Research)
Leadership, Behavior, and Decision-Making Studies
article

Capital OS: Tier-2 Sovereign AI-Native Capital Operating System (Proprietary, Restricted)

Mohamed Hamdi KAANICHE
article en

Abstract

Description / Abstract Capital OS is a sovereign, AI-native capital operating system designed for deterministic, post-quant financial infrastructure research. It is not a trading system, signal service, or portfolio management tool. Instead, it provides a fully controlled, reproducible environment for simulating and governing capital as a self-regulating organism. Key characteristics: Deterministic physics kernel: Governs all capital state transitions according to immutable rules. Immutable constitution: Legal-safe, signed kernel and governance laws. Sandboxed strategies: Isolated computational agents whose results feed the kernel without exposing market-sensitive actions. Synthetic adversarial universes: Procedural simulation of extreme market regimes for research stress-testing. Deterministic replay & time-travel debugger: Forkable histories, forensic analysis, and invariant verification. Research-only external interface: Telemetry of system health, physics indices, and capital stress metrics; explicitly no price data, strategy signals, or trading instructions. Distributed integrity: Minimal replication and hash verification ensure reproducibility and sovereignty. AI-native: Fully programmatic, machine-consumable, without human narrative dependencies. The system is intended for internal R&D, academic-style research collaboration, and experimentation while preserving full proprietary control and avoiding IP leaks. Intended Use: Research into deterministic market regimes and capital governance. Validation of constitutional invariants in financial infrastructure. Simulation of adversarial conditions for stress-testing capital management protocols. Restrictions / License: Proprietary and restricted access. Redistribution, replication, or reverse engineering is prohibited. No part of the kernel or research outputs contains actionable market signals, strategy weights, or trade instructions.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 52%
Leadership, Behavior, and Decision-Making Studies
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