In 2024, the rate of return on gold was 26.62 percent, making gold the leading commodity based on return rate in that year. Natural resources, like any other investment, exhibit a wide range of fluctuations over time.

Context

Extracted data from Investing .com by building a web scraper which could extract data if Start and End Date are given as parameters. You could find the scaper code here. Copper ,Gold, Crude Oil , Brent Oil , Natural Gas, Silver Prices variation of each of the commodities from the last 10 Years .

Copper

Copper prices are up 20% year to date, supported in part by a rebounding economy in the U.S. and other parts of the world as the pandemic comes under control. Improving economies are key to copper demand since it's an industrial metal that's a good conductor of electricity. Copper is found in a host of items from air conditioning units and televisions to cars. The base metal may also benefit from President Joe Biden's infrastructure plan and the growing appetite for electric vehicles. That's spurred investor interest in the red metal, but buyers need to do plenty of research. Commodities are unlike traditional stock and bond investing, as these markets have different fundamental drivers that affect pricing.

Gold

Gold has traditionally been regarded as a superior investment asset. It has become a safe haven for investors all around the world in recent years. Gold, in particular, possesses all of the characteristics that a traditional investor seeks in an asset class. Investing in gold has always shown to be a successful approach to combat inflation.

Crude Oil

Crude oil is at the heart of many global industries. It is the power that moves most vehicles, allows factories to operate and is used to generate electricity. Oil’s importance to mankind has made it a valuable commodity for many companies and countries. Along with its derivatives, crude oil is the most traded commodity in the world.

Brent Oil

Brent oil is a major benchmark price for purchases of oil worldwide. While Brent Crude oil is sourced from the North Sea the oil production coming from Europe, Africa and the Middle East flowing West tends to be priced relative to this oil. The Brent prices displayed in Trading Economics are based on over-the-counter (OTC) and contract for difference (CFD) financial instruments. Our market prices are intended to provide you with a reference only, rather than as a basis for making trading decisions. Trading Economics does not verify any data and disclaims any obligation to do so.

Natural Gas

The US Energy Information Administration says natural gas is the most widely used fuel for space heating in the US, and it has also started to beat out coal as the top fuel for power generation. Even so, demand for natural gas around the world can be volatile as it is very much dependent on the weather.

Silver

Silver may be used as an investment like other precious metals. It has been regarded as a form of money and store of value for more than 4,000 years, although it lost its role as legal tender in developed countries when the use of the silver standard came to a final end in 1935.

Acknowledgements

For this dataset I depended upon Investing.com to scrape the data . It's the premier source for financial, economic, and alternative datasets, serving investment professionals. Investing’s platform is used by over 400,000 people, including analysts from the world’s top hedge funds, asset managers and investment banks.

Sharp economic volatility, the continued effects of high interest rates and mixed sentiment among investors created an uneven landscape for stock and commodity exchanges. While trading volumes soared in 2020 due to the pandemic and favorable financial conditions, such as zero percent interest rates from the Federal Reserve, the continued effects of high inflation in 2022 and 2023 resulted in a hawkish pivot on interest rates, which curtailed ROIs across major equity markets. Geopolitical volatility amid the Ukraine-Russia and Israel-Hamas wars further exacerbated trade volatility, as many investors pivoted away from traditional equity markets into derivative markets, such as options and futures to better hedge on their investment. Nonetheless, the continued digitalization of trading markets bolstered exchanges, as they were able to facilitate improved client service and stronger market insights for interested investors. Revenue grew an annualized 0.1% to an estimated $20.9 billion over the past five years, including an estimated 1.9% boost in 2025. A core development for exchanges has been the growth of derivative trades, which has facilitated a significant market niche for investors. Heightened options trading and growing attraction to agricultural commodities strengthened service diversification among exchanges. Major companies, such as CME Group Inc., introduced new tradeable food commodities for investors in 2024, further diversifying how clients engage in trades. These trends, coupled with strengthened corporate profit growth, bolstered exchanges’ profit. Despite current uncertainty with interest rates and the pervasive fear over a future recession, the industry is expected to do well during the outlook period. Strong economic conditions will reduce investor uncertainty and increase corporate profit, uplifting investment into the stock market and boosting revenue. Greater levels of research and development will expand the scope of stocks offered because new companies will spring up via IPOs, benefiting exchange demand. Nonetheless, continued threat from substitutes such as electronic communication networks (ECNs) will curtail larger growth, as better technology will enable investors to start trading independently, but effective use of electronic platforms by incumbent exchange giants such as NASDAQ Inc. can help stem this decline by offering faster processing via electronic trade floors and prioritizing client support. Overall, revenue is expected to grow an annualized 3.5% to an estimated $24.8 billion through the end of 2031.

Graph and download economic data for All Employees, Securities, Commodity Contracts, Funds, Trusts, and Other Financial Vehicles, Investments, and Related Activities (CES5552300001) from Jan 1990 to Sep 2025 about contracts, establishment survey, investment, financial, securities, commodities, employment, and USA.

Invest wisely in the booming Commodity Index Funds market! Discover market trends, leading players (BlackRock, Invesco, iShares), and regional insights in our comprehensive analysis. Projected to reach $1 trillion by 2033, explore the potential of this lucrative sector.

The US_Stock_Data.csv dataset offers a comprehensive view of the US stock market and related financial instruments, spanning from January 2, 2020, to February 2, 2024. This dataset includes 39 columns, covering a broad spectrum of financial data points such as prices and volumes of major stocks, indices, commodities, and cryptocurrencies. The data is presented in a structured CSV file format, making it easily accessible and usable for various financial analyses, market research, and predictive modeling. This dataset is ideal for anyone looking to gain insights into the trends and movements within the US financial markets during this period, including the impact of major global events.

Key Features and Data Structure

The dataset captures daily financial data across multiple assets, providing a well-rounded perspective of market dynamics. Key features include:

• Commodities: Prices and trading volumes for natural gas, crude oil, copper, platinum, silver, and gold.
• Cryptocurrencies: Prices and volumes for Bitcoin and Ethereum, including detailed 5-minute interval data for Bitcoin.
• Stock Market Indices: Data for major indices such as the S&P 500 and Nasdaq 100.
• Individual Stocks: Prices and volumes for major companies including Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta.

The dataset’s structure is designed for straightforward integration into various analytical tools and platforms. Each column is dedicated to a specific asset's daily price or volume, enabling users to perform a wide range of analyses, from simple trend observations to complex predictive models. The inclusion of intraday data for Bitcoin provides a detailed view of market movements.

Applications and Usability

This dataset is highly versatile and can be utilized for various financial research purposes:

• Market Analysis: Track the performance of key assets, compare volatility, and study correlations between different financial instruments.
• Risk Assessment: Analyze the impact of commodity price movements on related stock prices and evaluate market risks.
• Educational Use: Serve as a resource for teaching market trends, asset correlation, and the effects of global events on financial markets.

The dataset’s daily updates ensure that users have access to the most current data, which is crucial for real-time analysis and decision-making. Whether for academic research, market analysis, or financial modeling, the US_Stock_Data.csv dataset provides a valuable foundation for exploring the complexities of financial markets over the specified period.

Acknowledgements:

This dataset would not be possible without the contributions of Dhaval Patel, who initially curated the US stock market data spanning from 2020 to 2024. Full credit goes to Dhaval Patel for creating and maintaining the dataset. You can find the original dataset here: US Stock Market 2020 to 2024.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Commodity Index: The Future of Investing?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This dataset contains detailed records of India’s principal commodity-wise exports to various countries from 2017–18 to 2022–23 (skipping 2020–21 due to COVID-related data gaps). The data is structured annually and provides insights into:

Exported commodity names Destination countries Export quantity Export value (in USD million) Measurement units

These records are sourced from https://www.data.gov.in/ and are valuable for analysts, researchers, and policymakers studying international trade trends, market demand, and sector-wise export performance.

📁 Files Included File Name Year Format Principal_Commodity_wise_export_201718.csv 2017–18 CSV Principal_Commodity_wise_export_201819.csv 2018–19 CSV Principal_Commodity_wise_export_201920.csv 2019–20 CSV Principal_Commodity_wise_export_202122.csv 2021–22 CSV Principal_Commodity_wise_export_202223.csv 2022–23 CSV

📌 Columns Each file includes the following columns: COMMODITY – Name of the exported product COUNTRY – Country to which the product was exported UNIT – Unit of measurement (e.g., KGS, NOS, LITRES) QUANTITY – Total exported quantity VALUE (US$ Million) – Export value in USD millions

💡 Use Cases Time-series analysis of export performance Identifying high-value export commodities Understanding trade relationships with countries Policy and strategy development for boosting exports Comparative analysis across years and regions

📊 Sample Questions You Can Explore What are the top 10 exported commodities from India over the last 5 years? How has India's export value to the USA evolved since 2017? Are there any emerging markets for Indian goods? What commodities saw a decline in exports after COVID-19?

A survey on Indonesians and their opinion on investing in cryptocurrencies found that **** percent of respondents were strongly agree that investing in crypto assets was better than investing in commodities. In comparison, *** percent of respondents stated that they were strongly disagree with that.

The Digital Commodity Trading Platform market is poised for substantial expansion, driven by an estimated market size of USD 15.5 billion in 2025, projected to grow at a Compound Annual Growth Rate (CAGR) of 18.5% through 2033. This robust growth is fueled by several pivotal drivers, including the increasing digitalization of global trade, the burgeoning demand for efficient and transparent commodity trading mechanisms, and the growing adoption of blockchain technology for enhanced security and traceability. Furthermore, the platform's ability to facilitate direct transactions, reduce intermediaries, and offer real-time market data democratizes access to commodity markets, appealing to both institutional investors and individual traders. The surge in online commodity auctions and the integration of cloud-based solutions for scalability and accessibility are key trends shaping this dynamic market. The convenience of commodity investment and trading through user-friendly digital interfaces is significantly boosting platform adoption. Despite the promising outlook, the market faces certain restraints. Regulatory uncertainties in various regions and the need for significant upfront investment in technology infrastructure by platform providers and users present hurdles. Concerns surrounding cybersecurity and data privacy, though being addressed by advanced security protocols, also require continuous attention. However, the inherent advantages of digital platforms, such as cost-effectiveness, speed, and global reach, are expected to outweigh these challenges. The market is segmented by application into Commodity Investment, Commodity Trading, Commodity Auction, and Others, with Commodity Trading and Investment anticipated to dominate. Types are divided into Local and Cloud Based, with Cloud Based solutions gaining traction due to their scalability and flexibility. Key players like Ant Group, Alibaba Cloud, Tencent, and Huawei Cloud are actively investing in innovation and market expansion, particularly in the Asia Pacific region, which is expected to be a significant growth hub due to its large population and rapidly developing digital economy. Here's a comprehensive report description for a "Digital Commodity Trading Platform" market analysis, incorporating your specified elements:

The data is in Stata format and includes 2 files. The file named Agric has variables: spot price of Chicago corn and Chicago soybeans, the futures price of Chicago corn and Chicago soybeans and long positions of commodity index traders. The file named Energy contains variables on spot and futures prices of WTI crude oil and Henry Hub natural gas. The data is originally obtained from US commodity futures trading commission

ESG-Indexed Commodity Futures Market Outlook

According to our latest research, the global ESG-Indexed Commodity Futures market size reached USD 6.2 billion in 2024, reflecting a robust expansion driven by the increasing demand for sustainable investment vehicles. The market is set to advance at a CAGR of 19.7% during the forecast period, leading to a projected market value of USD 36.7 billion by 2033. Growth in this sector is primarily attributed to the rising integration of environmental, social, and governance (ESG) criteria in investment strategies, coupled with the growing awareness among institutional investors and asset managers regarding the financial and reputational benefits of ESG-aligned commodities exposure.

The surge in ESG-Indexed Commodity Futures adoption is underpinned by the global shift towards responsible investing. Investors are increasingly seeking products that not only deliver financial returns but also align with their values on sustainability and ethical governance. The integration of ESG criteria into commodity futures allows market participants to hedge risks and gain exposure to commodities while simultaneously supporting companies and sectors that demonstrate leadership in sustainability practices. This alignment is particularly appealing to pension funds, sovereign wealth funds, and large asset managers, who are under mounting pressure from stakeholders to demonstrate responsible stewardship of capital.

Another significant growth factor is the evolving regulatory landscape. Governments and regulatory bodies worldwide are introducing stricter disclosure requirements and incentives for ESG-compliant investments. This has led to a proliferation of ESG benchmarks and indices, which serve as the foundation for ESG-indexed commodity futures. The availability of standardized ESG metrics and third-party verification has enhanced transparency and comparability, making it easier for investors to evaluate and select ESG-aligned futures products. Moreover, the rise of carbon trading schemes and green commodity certifications is further stimulating demand for ESG-indexed futures, particularly in energy and agriculture segments.

Technological advancements in trading platforms and analytics are also propelling the ESG-Indexed Commodity Futures market forward. The digitalization of commodity exchanges and the adoption of advanced data analytics allow for more precise and real-time ESG scoring of underlying assets. This not only improves the integrity of ESG indices but also enhances liquidity and market efficiency. As algorithmic and high-frequency trading strategies become more prevalent, the demand for transparent, liquid, and ESG-compliant futures contracts is expected to rise, fostering innovation and competition among exchanges and product issuers.

Regionally, Europe continues to lead the ESG-Indexed Commodity Futures market, accounting for the largest share in 2024, followed closely by North America. The Asia Pacific region is emerging as a high-growth market, driven by regulatory initiatives, increased investor awareness, and rapid economic development. Latin America and the Middle East & Africa, while currently representing smaller shares, are expected to witness accelerated growth as ESG frameworks are adopted and commodity markets mature. The global landscape is thus characterized by both mature markets with established ESG infrastructure and emerging markets with significant untapped potential.

Swap Futures are becoming an increasingly important instrument in the financial markets, particularly within the context of ESG-Indexed Commodity Futures. These derivatives allow investors to swap cash flows or other financial instruments, providing a mechanism to manage risk and gain exposure to various asset classes. In the ESG landscape, Swap Futures can be tailored to reflect specific sustainability criteria, offering investors the ability to align their financial strategies with environmental, social, and governance objectives. As the demand for ESG-compliant products grows, Swap Futures are likely to play a pivotal role in enhancing market liquidity and providing innovative solutions for investors seeking to integrate sustainability into their portfolios.

The datasets for the Role of Financial Investors on Commodity Futures Risk Premium are weekly datasets for the period from 1995 to 2015 for three commodities in the energy market: crude oil (WTI), heating oil, and natural gas. These datasets contain futures prices for different maturities, open interest positions for each commodity (long and short open interest positions), and S&P 500 composite index. The selected commodities are traded on the New York Mercantile Exchange (NYMEX). The data comes from the Thomson Reuters Datastream and from the Commodity Futures Trading Commission (CFTC).

The global commodity trading services market is experiencing robust growth, driven by increasing globalization, fluctuating commodity prices, and the need for efficient supply chain management. The market size in 2025 is estimated at $2 trillion, exhibiting a Compound Annual Growth Rate (CAGR) of 6% between 2025 and 2033. This growth is fueled by several key factors. Firstly, the rising demand for raw materials across various sectors, including metals, energy, and agriculture, is creating lucrative opportunities for commodity trading firms. Secondly, technological advancements in areas like data analytics and blockchain technology are improving transparency, efficiency, and risk management within commodity trading, further stimulating market expansion. Finally, the increasing complexity of global supply chains necessitates the expertise of specialized commodity traders to navigate market volatility and ensure secure and timely delivery of goods. The market is segmented by commodity type (metals, energy, agricultural, and others) and by the size of the businesses served (large enterprises and SMEs). While large enterprises dominate the market currently, the SME segment shows strong potential for future growth as businesses increasingly rely on external expertise for commodity sourcing. The geographical distribution of the commodity trading services market is diverse, with North America, Europe, and Asia Pacific representing the major regions. However, emerging markets in Asia and Africa are showing significant growth potential due to rapid industrialization and rising consumer demand. Competitive pressures within the industry are high, with numerous large multinational corporations vying for market share. These companies, including Vitol, Glencore, Trafigura, Mercuria, and Cargill, possess extensive global networks, strong financial capabilities, and deep expertise in risk management, allowing them to dominate the market. Nevertheless, smaller, specialized trading firms are also finding success by focusing on niche markets or employing innovative trading strategies. The overall outlook for the commodity trading services market remains optimistic, with continued growth expected over the coming years, albeit with some potential challenges related to geopolitical instability and regulatory changes.

Graph and download economic data for Defined Benefit Pension Plans for Securities, Commodity Contracts, and Other Financial Investments and Related Activities, All Establishments, Employer Firms (DISCONTINUED) (EXPDBPEF523ALLEST) from 2012 to 2017 about contracts, pension, employer firms, establishments, benefits, investment, expenditures, financial, securities, commodities, services, and USA.

Invest smarter with commodity index funds! Discover the booming $500 billion market, projected to reach $1.6 trillion by 2033. Learn about market drivers, trends, and top players like BlackRock & Invesco. Explore diverse segments including precious metals, energy, and agriculture. Diversify your portfolio and hedge against inflation.

Country-specific commodity price indices, including export, import, and terms-of-trade indices. For each country, the change in the international price of up to 45 individual commodities is weighted using commodity-level trade data. See "Commodity Terms of Trade: A New Database" by Bertrand Gruss and Suhaib Kebhaj, for further details.

The country-specific indices are constructed using, alternatively, time-varying weights (using average trade flows over the preceding three years) and fixed weights (based on average trade flows over several decades).

Graph and download economic data for Producer Price Index by Commodity: Investment Services (WPU40) from Jun 2009 to Aug 2025 about investment, commodities, services, PPI, inflation, price index, indexes, price, and USA.

Global Commodities Investment Services Market is segmented by Application (Hedge Funds_Pension Funds_Family Offices_Sovereign Wealth Funds_Retail Investors), Type (Precious Metals_Energy Commodities_Agricultural Commodities_Industrial Metals_Soft Commodities), and Geography (North America_ LATAM_ West Europe_Central & Eastern Europe_ Northern Europe_ Southern Europe_ East Asia_ Southeast Asia_ South Asia_ Central Asia_ Oceania_ MEA)