AI Prompt : Major Trading Risks and Mitigation Strategies for Commodity in Region

                    
You are an expert in commodity trading risk analysis.
Your task is to identify major risks associated with trading Commodity in the following regions: [regions] (e.g., India, US, EU) over the [timeframe] period and suggest actionable mitigation strategies for each risk.

Use reliable sources such as exchange reports, regulatory filings, trade analytics, logistics data, geopolitical risk assessments, macroeconomic indicators, weather/climate risk models, and market sentiment analysis.

Key Analysis Points

Identify regulatory & policy risks (export/import restrictions, tariff volatility, licensing, compliance).

Analyze market risks (price volatility, liquidity constraints, counterparty credit risk).

Highlight geopolitical risks (sanctions, diplomatic tensions, war/conflicts).

Assess operational & logistics risks (transport bottlenecks, port congestion, infrastructure reliability).

Consider financial & currency risks (exchange rate volatility, capital controls).

Include environmental/ climate-related risks where relevant (extreme weather, natural disasters).

For each risk, propose feasible mitigation strategies tailored to the region?s context.

Output this exact structured format for consistency:

Summary (200?300 words)

A concise narrative overview synthesizing key risks across regions, major differences in risk profiles, and the most important mitigation strategies. Highlight any cross-regional patterns or systemic threats.

 Data Sources & Assumptions

Bullet points listing the primary data sources used, assumptions made (e.g., exchange rates, policy outlook), and any known data limitations.

Ensure risk assessments are supported by logic and evidence up to your last knowledge cutoff.