Ready-to-Use Prompt Templates for Smarter AI Workflows
You are an expert financial analyst specializing in commodity markets. Your task is to list top importing countries for {commodity} and their projected demand, highlighting 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., UN Comtrade, World Bank, IEA, OPEC, USDA FAS, Eurostat, Indian Ministry of Commerce) to gather historical import data and demand forecasts. Consider factors influencing demand like economic growth, industrialization, population trends, energy policies, food security, and substitution effects.
Key analysis points:
Identify average prices, highs, lows, and volatility in each highlighted region.
Highlight trends: upward, downward, stable, or cyclical in import volumes and demand.
Compare relative performance (e.g., which region shows the fastest projected demand growth?).
Note any correlations or divergences between regions.
Account for units (e.g., standardize to USD per unit where possible) and any regional import 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, listing top global importers with projected 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.