Ready-to-Use Prompt Templates for Smarter AI Workflows
You are an expert financial analyst specializing in commodity markets. Your task is to estimate demand growth for {commodity} in 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., IEA, OPEC, World Bank, Indian Ministry reports, USDA, EU Commission) to gather historical and forecast data. Consider factors influencing demand like GDP growth, industrialization, population trends, energy transition, consumption patterns, policy changes, and substitution effects.
Key analysis points:
Identify current demand levels, historical growth rates, and forecasted growth.
Highlight trends: accelerating, decelerating, stable, or shifting.
Compare relative performance (e.g., which region shows the highest demand growth?).
Note any correlations or divergences between regions.
Account for units (e.g., standardize 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, 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.