geopolitical-risk

Quantify geopolitical risks and develop event-driven strategies for financial decisions.

Updated May 25, 2026

Search Tags:#data analysis #risk assessment #quantitative finance #geopolitical risk #event-driven strategy

Ready to run

npx skills add https://github.com/NigarumOvum/AutoTrading --skill geopolitical-risk-nigarumovum

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: geopolitical-risk
Source: https://github.com/NigarumOvum/AutoTrading/tree/main/Vibe-Trading/agent/src/skills/geopolitical-risk
Command: npx skills add https://github.com/NigarumOvum/AutoTrading --skill geopolitical-risk-nigarumovum

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gpr, gdelt, acled, requests, numpy, pandas, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides comprehensive analysis and quantification of geopolitical risks, helping users make informed decisions for war, sanctions, and supply disruption scenarios.

Core Features & Use Cases

Geopolitical Risk Quantification: Offers a detailed risk layering model and five dimensions of risk assessment to evaluate various geopolitical scenarios.
Event-Driven Strategy Framework: Provides guidance on positioning before a crisis, trading during the crisis, and mean reversion post-crisis.
Data Sources and APIs: Integrates various data sources like the GPR Index, GDELT Global Event Database, and ACLED Armed Conflict Location & Event Data for robust analysis.

Quick Start

Analyze the geopolitical risk level and corresponding asset impact direction for the Strait of Hormuz.

Frequently Asked Questions about geopolitical-risk

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I quantify geopolitical risk for event-driven trading strategies?▼

Quantify geopolitical risk using a detailed risk layering model across five assessment dimensions to develop event-driven strategies for positioning before, during, and after market crises.

What data sources are used for geopolitical risk assessment in energy and supply chain sectors?▼

Geopolitical risk assessment integrates the GPR Index, GDELT Global Event Database, and ACLED Armed Conflict Location data to analyze war, sanctions, and supply disruption impacts.

Can I use Python pandas and numpy to analyze geopolitical event data for financial decision-making?▼

Yes, you can use Python pandas and numpy to process geopolitical event data, applying quantitative models to identify and mitigate risks in strategic financial decision-making.

Does this geopolitical risk analysis framework support mean reversion trading post-crisis?▼

Yes, the event-driven strategy framework provides explicit guidance on mean reversion trading post-crisis, alongside positioning before and trading during the crisis.

How do I assess the impact of a supply disruption scenario like the Strait of Hormuz?▼

Assess supply disruption scenarios by analyzing the geopolitical risk level and corresponding asset impact direction using the integrated GPR Index and GDELT data sources.

What are the limitations of using GDELT and ACLED data for quantitative geopolitical risk modeling?▼

Limitations of using GDELT and ACLED for quantitative geopolitical risk modeling include handling unstructured event data latency and mapping discrete conflict events to continuous financial risk layers.