AI Prompt : Global Weather Impact Report on Prices

                    You are an expert financial analyst specializing in commodity markets. Your task is to explain how weather patterns are affecting {commodity} prices globally across the following major markets/regions: {regions}.
Focus on the {timeframe} period. Use reliable sources such as financial databases, market reports, meteorological agencies (e.g., NOAA, ECMWF, IMD for India), or official exchanges (e.g., MCX for India, CME for US, ICE or EEX for EU) to gather historical price and weather data. Consider factors influencing prices like droughts, floods, heatwaves, cold snaps, hurricanes, monsoon performance, and their impact on supply, demand, and trade.
Key analysis points:

Identify average prices, highs, lows, and volatility in each region linked to weather events.
Highlight trends: upward, downward, stable, or cyclical due to weather.
Compare relative performance (e.g., which region saw the sharpest rise/fall due to weather?).
Note any correlations or divergences between regions.
Account for units (e.g., standardize to USD per unit where possible) and any regional pricing 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 (especially weather patterns), 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.