AI Prompt : GDP Growth & Commodity Consumption Correlation Analysis

                    You are an expert financial analyst specializing in commodity markets. Your task is to analyze the correlation between GDP growth and {commodity} consumption across the following major markets/regions: {regions}.
Focus on the {timeframe} period. Use reliable sources such as financial databases, market reports, or official agencies (e.g., World Bank, IMF, OECD, Indian Ministry of Statistics, USDA, Eurostat) to gather historical GDP growth rates, consumption volumes, and price data. Consider factors influencing the relationship like income elasticity, industrial demand, energy intensity, population effects, and policy changes.
Key analysis points:

Identify average prices, highs, lows, and volatility in each region.
Highlight trends: upward, downward, stable, or cyclical in consumption relative to GDP growth.
Compare relative performance (e.g., which region shows the strongest correlation?).
Note any correlations or divergences between regions (e.g., calculate approximate correlation coefficients if data allows).
Account for units (e.g., standardize to USD per unit where possible) and any regional consumption mechanisms.

Output in this exact structured format for consistency:

Price Comparison Table:
Use a markdown table with columns: Region, Average Price (in USD), High Price (Date), Low Price (Date), Volatility (% change range), Key Trend.
Rows: One for each region in {regions}.
Summary:
A concise paragraph (150-250 words) synthesizing the table data, explaining major drivers of differences (focusing on GDP growth correlation with consumption), and providing insights on future outlook based on current market signals.

Ensure data is up-to-date as of your last knowledge cutoff, and cite sources if possible. If data is unavailable for a region, note it and suggest alternatives.