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Commodity Trading Analysis Excel Template

Trade commodities with comprehensive market analysis, futures evaluation, risk management, and commodity trading tools for profitable commodity investments.


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Master Commodity Trading with Professional Market Analysis

Commodity trading requires deep understanding of supply and demand dynamics, seasonal patterns, and market fundamentals. Our Commodity Trading Analysis template provides comprehensive tools to analyze commodity markets, evaluate futures contracts, manage risk, and optimize trading strategies with institutional-quality analysis.

From precious metals to agricultural products, analyze every commodity market. Built for commodity traders, analysts, and institutional investors, this template helps you navigate complex commodity markets, optimize strategies, and maximize trading profitability.

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Comprehensive Commodity Market Analysis

Supply & Demand Fundamentals

Analyze supply and demand factors including production data, inventory levels, consumption patterns, and economic indicators. Track fundamental drivers of commodity price movements.

Seasonal Pattern Analysis

Identify seasonal patterns in commodity prices using historical data and statistical analysis. Understand weather impacts, harvest cycles, and seasonal demand variations.

Technical Analysis Tools

Implement technical analysis including trend analysis, support/resistance levels, momentum indicators, and chart patterns specific to commodity markets.

Curve Analysis & Contango

Analyze futures curves, contango/backwardation patterns, and roll yields. Understand storage costs, convenience yields, and term structure dynamics.

Commodity Trading Strategies & Risk Management

Futures Trading Analysis

Analyze futures contracts including contract specifications, margin requirements, and delivery terms. Calculate roll costs and optimal contract selection strategies.

Spread Trading Strategies

Implement calendar spreads, inter-commodity spreads, and crack spreads. Analyze spread relationships and identify arbitrage opportunities across related commodities.

Portfolio Diversification

Optimize commodity portfolio allocation across energy, metals, and agricultural sectors. Analyze correlation patterns and portfolio risk characteristics.

Risk Management Systems

Implement comprehensive risk management including position limits, stop-loss orders, and volatility-based position sizing. Monitor portfolio VaR and stress testing.

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Frequently Asked Questions

What commodity markets does the template cover?

The template covers major commodity sectors including energy (crude oil, natural gas), metals (gold, silver, copper), and agricultural products (wheat, corn, soybeans). It can be customized for any commodity market.

How does it handle futures contract specifications?

The template includes detailed contract specifications, margin requirements, tick sizes, and delivery terms for major futures contracts. It provides tools for contract selection and roll analysis.

Can it analyze seasonal commodity patterns?

Yes, the template includes seasonal analysis tools that identify historical patterns, weather impacts, and cyclical trends. It helps time trades based on seasonal factors and harvest cycles.

Does it include storage and convenience yield analysis?

The template includes storage cost calculations, convenience yield analysis, and futures curve interpretation. It helps understand the relationship between spot and futures prices.

How does it manage commodity portfolio risk?

The template provides comprehensive risk management including position limits, correlation analysis, and portfolio VaR calculations. It helps optimize allocation across different commodity sectors.

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Frequently Asked Questions

If you question is not covered here, you can contact our team.

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How do I analyze data?
To analyze spreadsheet data, just upload a file and start asking questions. Sourcetable's AI can answer questions and do work for you. You can also take manual control, leveraging all the formulas and features you expect from Excel, Google Sheets or Python.
What data sources are supported?
We currently support a variety of data file formats including spreadsheets (.xls, .xlsx, .csv), tabular data (.tsv), JSON, and database data (MySQL, PostgreSQL, MongoDB). We also support application data, and most plain text data.
What data science tools are available?
Sourcetable's AI analyzes and cleans data without you having to write code. Use Python, SQL, NumPy, Pandas, SciPy, Scikit-learn, StatsModels, Matplotlib, Plotly, and Seaborn.
Can I analyze spreadsheets with multiple tabs?
Yes! Sourcetable's AI makes intelligent decisions on what spreadsheet data is being referred to in the chat. This is helpful for tasks like cross-tab VLOOKUPs. If you prefer more control, you can also refer to specific tabs by name.
Can I generate data visualizations?
Yes! It's very easy to generate clean-looking data visualizations using Sourcetable. Simply prompt the AI to create a chart or graph. All visualizations are downloadable and can be exported as interactive embeds.
What is the maximum file size?
Sourcetable supports files up to 10GB in size. Larger file limits are available upon request. For best AI performance on large datasets, make use of pivots and summaries.
Is this free?
Yes! Sourcetable's spreadsheet is free to use, just like Google Sheets. AI features have a daily usage limit. Users can upgrade to the pro plan for more credits.
Is there a discount for students, professors, or teachers?
Currently, Sourcetable is free for students and faculty, courtesy of free credits from OpenAI and Anthropic. Once those are exhausted, we will skip to a 50% discount plan.
Is Sourcetable programmable?
Yes. Regular spreadsheet users have full A1 formula-style referencing at their disposal. Advanced users can make use of Sourcetable's SQL editor and GUI, or ask our AI to write code for you.
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Master Commodity Markets

Professional commodity trading tools to analyze markets, evaluate futures, and implement trading strategies in global commodity markets.

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