# Forensic Asset Intelligence & Sovereign Audit Framework

[![Patent: WIPO WO2022240365](https://img.shields.io/badge/WIPO-Patent%20WO2022240365-blue)](https://patentscope.wipo.int/)
[![Compliance: CFA GIPS](https://img.shields.io/badge/Compliance-CFA%20GIPS-gold)](https://www.cfainstitute.org/)
[![Tech: GCP + Neo4j](https://img.shields.io/badge/Stack-GCP%20%7C%20Neo4j%20%7C%20Python-2ec4b6)](https://ivandamnjanovic.com)

This repository serves as the technical engine for **Institutional Recovery** and **Sovereign Asset Management**. It provides the computational tools to bridge the gap between **WIPO Intellectual Property**, **CFA-standard Fiduciary Duty**, and **Industrial AI**.

## 🛡️ Core Objective
To engineer "Incompetence-Proof" systems that protect $100M+ portfolios from institutional decay, administrative bottlenecks, and financial leakage. This framework is designed to manage high-stakes assets, from 5,600 km² territorial land plots to complex state-owned energy infrastructures.

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## 🛠️ Technical Modules

### 1. Sovereign Asset & Liability Management (SALM) Engine
* **Path:** `module: /finance/salm_valuations.py`
* **Framework:** Implementing the **IMF/World Bank SALM** approach through PhD-level econometric modeling.
* **Utility:** Calculates the Net Present Value (NPV) of non-financial territorial assets while applying a **Risk-Adjusted Discount Rate (RADR)** to account for institutional risk markers.
* **Tech:** `Python`, `Pandas`, `NumPy`, `Scipy` (Monte Carlo Simulations for risk-adjusted yield).

### 2. Institutional Digital Twin (The PVN Model)
* **Path:** `module: /governance/bottleneck_graph.cypher`
* **Framework:** Neo4j-based dependency mapping for State-Owned Enterprises (SOEs) and large-scale administrative bodies.
* **Utility:** Visualizes departmental dependencies and uses **Centrality Algorithms** to identify parallel processing paths. As demonstrated in the **PetroVietnam** case study, this framework aims to reduce administrative lag by **15%+**.
* **Tech:** `Neo4j` (Cypher), `GraphRAG` (Knowledge Graphs), `NetworkX`.

### 3. Fiduciary Data Pipelines (Clean Truth)
* **Path:** `module: /compliance/audit_trail.sql`
* **Framework:** Hardened SQL schemas designed to provide "Clean Truth" reporting that bypasses manual administrative interference.
* **Utility:** Delivers real-time ROI metrics (Target: 24%) compliant with **GIPS (Global Investment Performance Standards)**.
* **Tech:** `PostgreSQL`, `GCP BigQuery`, `Great Expectations` (Data Validation).

### 4. WIPO-CFA Integration Layer
* **Path:** `docs/structural_defense.md`
* **Logic:** Technical enforcement of **WIPO Patent WO2022240365**.
* **Concept:** Treats Intellectual Property as a "Regulatory Kill-Switch." If an asset's performance indicators breach fiduciary thresholds, technical access keys rotate, ensuring capital integrity is maintained regardless of local administrative friction.

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## 🏗️ Technical Foundation
This framework is built upon a cross-disciplinary pedigree:
* **Physical Layer:** Structural Mechanics & Terrestrial Energy Systems (**BASc Civil Engineering, UofT**)
* **Intelligence Layer:** Distributed Systems & Data Mining (**MSc Computer Science, NUS**)
* **Fiduciary Layer:** Econometric Modeling & Business Research (**PhD Business Mgmt, Belgrade / CFA Candidate**)

## 📈 Performance Benchmarks
* **Target ROI:** 24% (Financial Optimization)
* **Operational Efficiency:** 15%+ Latency Reduction (Institutional AI)
* **Compliance:** 100% (GDPR/PDPA/WIPO-PCT/ISO 27001)

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## ⚖️ Legal & Regulatory Anchor
This framework is architected to comply with:
* **WIPO** (World Intellectual Property Organization) Patent Standards
* **CFA Institute** GIPS (Global Investment Performance Standards)
* **IMF** Sovereign Asset and Liability Management Guidelines

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**Maintained by Ivan Damnjanovic | Intelligence Engineer** [ivandamnjanovic.com](https://ivandamnjanovic.com) | [Contact](mailto:contact@ambientsystems.ai)