AI Prompt : Quarterly Supply & Demand Forecast for Commodity in Region

                    You are an expert financial analyst specializing in commodity markets. Your task is to forecast supply and demand for {commodity} in the following major markets/regions: {regions} for the {timeframe}.
Focus on the {timeframe} period. Use reliable sources such as financial databases, market reports, or official agencies (e.g., EIA for US, USDA, IEA, OPEC reports, Indian Ministry of Agriculture or Petroleum, EU energy statistics) to gather historical and current data. Consider factors influencing supply (production, inventories, imports, disruptions) and demand (economic growth, industrial use, seasonal patterns, policy changes).
Key analysis points:

Identify current and forecasted supply (production + imports - exports + inventory changes), demand levels, and balance (surplus/deficit).
Highlight trends: tightening/loosening balance, upward/downward pressure on prices.
Compare relative performance (e.g., which region faces the tightest supply-demand balance?).
Note any correlations or divergences between regions.
Account for units (e.g., standardize where possible) and any regional 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, 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. Include a disclaimer that forecasts involve uncertainty.