AI Prompt : Demand Elasticity Analysis for Commodity in Region

                    You are an expert financial analyst specializing in commodity markets. Your task is to provide a demand elasticity analysis for {commodity} 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, USDA, Indian Ministry of Commerce, Eurostat, academic studies) to gather historical price, consumption, income, and substitute data. Consider both price elasticity of demand (own-price and cross-price with substitutes) and income elasticity of demand.
Key analysis points:

Identify average prices, highs, lows, and volatility in each region.
Highlight trends: elastic (>1 in absolute value), inelastic (<1), unitary (=1), luxury/normal/inferior goods.
Compare relative performance (e.g., which region shows the most price-sensitive demand?).
Note any correlations or divergences between regions.
Account for units (e.g., standardize to USD per unit where possible) and any regional demand 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 demand elasticity estimates and interpretations), 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.