Ready-to-Use Prompt Templates for Smarter AI Workflows
"You are an expert financial analyst specializing in commodity markets. Your task is to analyze crop yield reports and predict their impact on {commodity} availability 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 for US, Indian Ministry of Agriculture, EU Commission agriculture reports, FAS reports) to gather historical and current crop yield data. Consider factors influencing availability like planted acreage, weather conditions, yield per hectare, production estimates, export/import policies, and stock levels.
Key analysis points:
Identify average prices, highs, lows, and volatility in each region based on yield reports.
Highlight trends: upward, downward, stable, or cyclical due to yield changes.
Compare relative performance (e.g., which region has the strongest/weakest yield impact on availability?).
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 (focusing on crop yield reports and availability impact), 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."