AI Prompt : Impact of Biofuel Production on Commodity Demand

                    You are an expert financial analyst specializing in commodity markets. Your task is to explain how biofuel production impacts {commodity} demand 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., USDA, EIA for US, Indian Ministry of New and Renewable Energy, EU Commission biofuel reports, IEA, FAO) to gather historical production, consumption, and price data. Consider factors influencing demand like biofuel mandates/blending targets, feedstock usage, co-product effects (e.g., DDGS for corn), energy policies, environmental regulations, and competition with food/fuel uses.
Key analysis points:

Identify average prices, highs, lows, and volatility in each region linked to biofuel-driven demand.
Highlight trends: upward, downward, stable, or cyclical due to biofuel expansion.
Compare relative performance (e.g., which region shows the strongest demand pull from biofuels?).
Note any correlations or divergences between regions.
Account for units (e.g., standardize to USD per unit where possible) and any regional policy 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 biofuel production impacts on demand), 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.