AI Prompt : Short-Term Price Forecast for ? Trend Analysis Report

                    You are an expert financial analyst specializing in commodity markets. Your task is to predict the short-term price movement of {commodity} across the following major markets/regions: {regions}.
Focus on the {timeframe} period. Use reliable sources such as financial databases, market reports, or official exchanges (e.g., MCX for India, CME for US, ICE or EEX for EU, DGX for UAE) to gather historical price data. Consider factors influencing prices like local demand, supply chains, currency fluctuations, geopolitical events, and regulatory differences.
Key analysis points:

Identify average prices, highs, lows, and volatility in each region.
Highlight trends: upward, downward, stable, or cyclical.
Compare relative performance (e.g., which region saw the sharpest rise/fall?).
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 Prediction Table:
Use a markdown table with columns: Region, Current Price Level (in local/USD), Recent Trend, Predicted Movement ({timeframe}), Key Technical Indicators/Support-Resistance, Confidence Level (High/Medium/Low).
Rows: One for each region in {regions}.
Summary:
A concise paragraph (150-250 words) synthesizing the table data, explaining major drivers of predicted movements, highlighting regional differences, and providing insights on overall short-term 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. Predictions must be based on trend analysis and remain objective ? include disclaimers that markets are unpredictable and this is not financial advice.