Dataset Card for Sentiment Analysis of Commodity News (Gold)

This is a news dataset for the commodity market which has been manually annotated for 10,000+ news headlines across multiple dimensions into various classes. The dataset has been sampled from a period of 20+ years (2000-2021). The dataset was curated by Ankur Sinha and Tanmay Khandait and is detailed in their paper "Impact of News on the Commodity Market: Dataset and Results." It is currently published by the authors on… See the full description on the dataset page: https://huggingface.co/datasets/SaguaroCapital/sentiment-analysis-in-commodity-market-gold.

In 2023, platinum accounted for a ** percent share of the market capitalization of mineral commodities in South Africa. This was followed by gold with a share of ** percent, followed by iron ore with a share of ** percent.

Discover the booming commodity trading platform market! This in-depth analysis reveals a $5 billion market poised for 8% CAGR growth to $8 billion by 2033, driven by algorithmic trading, online accessibility, and AI integration. Learn about key players, market trends, and future projections.

S&P Global Inc., together with its subsidiaries, provides credit ratings, benchmarks, analytics, and workflow solutions in the global capital, commodity, and automotive markets. It operates in six divisions: S&P Global Ratings, S&P Dow Jones Indices, S&P Global Commodity Insights, S&P Global Market Intelligence, S&P Global Mobility, and S&P Global Engineering Solutions. The S&P Global Ratings division operates as an independent provider of credit ratings, research, and analytics, offering investors and other market participants information, ratings, and benchmarks. The S&P Dow Jones Indices division is an index provider that maintains various valuation and index benchmarks for investment advisors, wealth managers, and institutional investors. The S&P Global Commodity Insights division offers data and insights for global energy and commodity markets and enable its customers to make decisions. The S&P Global Market Intelligence division delivers data and technology solutions for customers to provide insights for making decisions. It offers data and services that bring end-to-end workflow solutions, including capital formation, data and distribution, ESG and sustainability, leveraged loans, private markets, sector coverage, supply chain, and issuer solutions, as well as credit, risk, and regulatory solutions. The S&P Global Mobility division provides insights derived from unmatched automotive data, enabling its customers to anticipate change and make decisions. The S&P Global Engineering Solutions division offers engineering expertise and solutions in industries, such as aerospace and defense, energy, architecture, construction, and transportation. Its solutions empower business and technical leaders to transform workflows and make decisions. S&P Global Inc. was founded in 1860 and is headquartered in New York, New York.

Agri Commodity Trading Platforms Market Outlook

According to our latest research, the global Agri Commodity Trading Platforms market size reached USD 4.2 billion in 2024, demonstrating robust expansion driven by digital transformation across the agricultural sector. As per our analysis, the market is forecasted to grow at a CAGR of 12.7% between 2025 and 2033, reaching approximately USD 12.1 billion by 2033. This accelerated growth is primarily propelled by increased digital adoption among farmers and traders, the need for real-time price discovery, and the rising integration of advanced technologies such as artificial intelligence and blockchain within trading platforms. These factors collectively underscore the market's dynamic evolution and the growing importance of technology-driven solutions in agricultural commodity trading worldwide.

The growth trajectory of the Agri Commodity Trading Platforms market is significantly influenced by the global push towards digitalization in agriculture. As traditional trading methods face limitations related to transparency, efficiency, and scalability, digital platforms have emerged as vital tools for streamlining transactions and enhancing market access for stakeholders at every level of the value chain. The proliferation of smartphones and improved internet connectivity, especially in developing regions, has catalyzed the adoption of these platforms, enabling even smallholder farmers to participate in broader markets. Furthermore, the integration of advanced analytics, real-time pricing, and risk management tools has empowered users to make informed decisions, thereby reducing price volatility and transaction costs. This digital transformation is further supported by government initiatives and private sector investments aimed at modernizing agricultural supply chains and improving food security.

Another critical growth driver for the Agri Commodity Trading Platforms market is the increasing demand for transparency and traceability in food supply chains. With consumers and regulators placing greater emphasis on food safety and sustainability, trading platforms are incorporating blockchain and other traceability technologies to provide end-to-end visibility into the movement of agricultural commodities. This not only helps in building trust among buyers and sellers but also facilitates compliance with stringent international trade regulations. Additionally, the adoption of digital payment solutions and smart contracts has streamlined settlement processes, minimizing the risk of defaults and disputes. As a result, both large agribusinesses and small-scale producers are increasingly leveraging these platforms to access new markets, secure better prices, and enhance operational efficiency.

The market’s expansion is also fueled by the growing participation of institutional investors and financial intermediaries in agricultural commodity trading. The availability of sophisticated trading tools, data analytics, and risk management features on these platforms has attracted a diverse range of users, including hedge funds, banks, and cooperatives. This influx of institutional capital has improved market liquidity and price discovery, further incentivizing platform adoption. Moreover, the emergence of innovative business models such as platform-as-a-service and subscription-based offerings has lowered entry barriers for new market participants, fostering competition and innovation. These developments are expected to sustain the market’s momentum over the forecast period, with further acceleration anticipated as emerging technologies and regulatory frameworks mature.

From a regional perspective, the Asia Pacific region is expected to lead the Agri Commodity Trading Platforms market in terms of growth rate, driven by rapid digitalization, large agricultural output, and supportive government policies. North America and Europe continue to dominate in terms of market share, owing to advanced infrastructure, high internet penetration, and the presence of established agribusinesses. Meanwhile, Latin America and Middle East & Africa are witnessing steady growth as digital initiatives and investments in agri-tech gain momentum. Each region presents unique opportunities and challenges, shaped by local market dynamics, regulatory environments, and technological adoption rates.

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.

As of December 2022, the market capitalization of Italian companies active in the financial services sector listed on the Milan Stock Exchange (also known in Italy as Borsa Italiana) amounted to over ** billion euros. Throughout the period considered, this was one of the lowest value registered since December 2018, when the market capitalization added up to approximately **** billion euros. Among the companies active in the financial sector, banks reported the highest market capitalization. In fact, as of December 2022, banks listed on the Milan Stock Exchange registered a total market capitalization of over ** billion euros.

 Milan Stock Exchange: a brief history 

The Milan Stock Exchange was founded in 1808 and was known as Borsa di Commercio di Milano, which means Milan’s commodities exchange. In the first **** decades, it operated under the government. Only in 1859 did the first publicly traded company share list on the exchange. In the following years, banks and railway companies began joining the exchange, gradually attracting a diversity of issuers. In 1998, the exchange was privatized and changed its name to Milan Stock Exchange (Borsa Italiana in Italian). Since the end of 2007, the Milan Stock Exchange is part of the London Stock Exchange Group.

 London Stock Exchange 

The London Stock Exchange is among the largest stock exchange operators worldwide. As of September 2022, the number of companies trading on the London Stock Exchange stood at *****. These companies registered a combined market capitalization of just above *** trillion British pounds and reached an average of almost one million trades daily.

The dataset contains All India Year wise Exposure to Sensitive Sectors like Capital Market, Real Estate and Commodities of Scheduled Commercial Banks categorised according to bank name and bank group

Note: 1. Data as of the end of March

CME Group Inc., together with its subsidiaries, operates contract markets for the trading of futures and options on futures contracts worldwide. It offers futures and options products based on interest rates, equity indexes, foreign exchange, agricultural commodities, energy, and metals, as well as fixed income products. The company also provides clearing house services, including clearing, settling, and guaranteeing futures and options contracts, and cleared swaps products traded through its exchanges; and trade processing and risk mitigation services. In addition, the company offers a range of market data services, including real-time and historical data services. It serves professional traders, financial institutions, institutional and individual investors, corporations, manufacturers, producers, governments, and central banks. The company was formerly known as Chicago Mercantile Exchange Holdings Inc. and changed its name to CME Group Inc. in July 2007. CME Group Inc. was founded in 1898 and is headquartered in Chicago, Illinois.

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

Structured Trade and Commodity Finance Market Outlook

According to our latest research, the global Structured Trade and Commodity Finance market size reached USD 5.8 billion in 2024, reflecting robust expansion driven by increasing cross-border trade and evolving financing requirements in the commodities sector. The market is projected to grow at a CAGR of 6.9% during the forecast period, with the overall value expected to reach USD 10.7 billion by 2033. This growth is primarily fueled by the rising demand for complex financing solutions that mitigate risks and optimize working capital, especially for organizations operating in volatile commodity markets.

One of the key growth drivers for the Structured Trade and Commodity Finance market is the increasing globalization of trade, which has led to more intricate supply chains and a heightened need for tailored financing solutions. As companies seek to expand their operations across borders, they encounter a myriad of risks, including price volatility, geopolitical uncertainties, and regulatory complexities. Structured trade and commodity finance offers customized products such as pre-export finance, inventory finance, and receivables finance, enabling businesses to secure the necessary liquidity while minimizing exposure to risks. Furthermore, the integration of advanced risk assessment tools and digital platforms has enhanced transparency and efficiency, making structured finance increasingly attractive to both large corporates and SMEs.

Another significant factor contributing to market growth is the ongoing shift in global commodity demand patterns, particularly in emerging economies. Rapid industrialization and urbanization in regions such as Asia Pacific and Latin America have spurred demand for energy, metals, and agricultural commodities, thereby increasing the need for sophisticated financing mechanisms. Structured trade and commodity finance solutions play a pivotal role in bridging the financing gap, enabling producers, traders, and corporates to manage cash flows effectively and seize new market opportunities. The evolving regulatory landscape, with greater emphasis on compliance and sustainability, has further prompted financial institutions to develop innovative products that align with environmental, social, and governance (ESG) criteria.

Technological advancements are also shaping the future of the Structured Trade and Commodity Finance market. The adoption of blockchain, artificial intelligence, and data analytics is revolutionizing transaction processing, risk management, and credit assessment. These technologies facilitate real-time tracking of goods, enhance fraud detection, and streamline documentation, thereby reducing operational costs and turnaround times. As a result, financial providers are able to offer more flexible and scalable solutions, catering to the diverse needs of corporates, traders, and producers. This technological evolution is expected to further accelerate market growth, as stakeholders seek to capitalize on the benefits of digital transformation.

From a regional perspective, Asia Pacific continues to lead the Structured Trade and Commodity Finance market, accounting for the largest share in 2024, followed by Europe and North America. The dominance of Asia Pacific is underpinned by its large manufacturing base, burgeoning middle class, and strategic position in global trade networks. Countries such as China and India are major importers and exporters of commodities, driving demand for structured finance solutions. Meanwhile, Europe remains a key hub for commodity trading, with established financial institutions and a strong regulatory framework. North America, with its advanced technological infrastructure and diversified commodity markets, also plays a significant role in the global landscape. Latin America and the Middle East & Africa are emerging as high-growth regions, supported by resource-rich economies and increasing investment in infrastructure and trade facilitation.

Product Type Analysis

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Poland Capital Adequacy: RE: Position, Foreign Exchange and Commodities Risk data was reported at 15,160,200,984.000 PLN in Mar 2018. This records an increase from the previous number of 14,505,595,998.000 PLN for Dec 2017. Poland Capital Adequacy: RE: Position, Foreign Exchange and Commodities Risk data is updated quarterly, averaging 15,160,200,984.000 PLN from Mar 2014 (Median) to Mar 2018, with 17 observations. The data reached an all-time high of 16,839,215,434.000 PLN in Jun 2016 and a record low of 11,667,337,613.000 PLN in Mar 2014. Poland Capital Adequacy: RE: Position, Foreign Exchange and Commodities Risk data remains active status in CEIC and is reported by Polish Financial Supervision Authority. The data is categorized under Global Database’s Poland – Table PL.KB034: Banking Sector Capital Adequacy: Basel III.

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.

DJ Commodity Leadindex: The Future of Commodity Markets?

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

The financial market serves as the backbone of the global economy, encompassing a vast array of platforms and instruments that facilitate the exchange of capital and investment opportunities. Comprising various segments such as the stock market, bond market, currency exchange, and commodities market, it provides ess

The India Capital Market Exchange Ecosystem report segments the industry into By Primary Markets (Equity Market, Debt Market, Corporate Governance and Compliance Monitoring, Corporate Restructuring, and more) and By Secondary Markets (Cash Market, Equity Derivatives Markets, Commodity Derivatives Market, Currency Derivatives Market, Interest Rate Derivatives Market, Market Infrastructure Institutions, Intermediaries Associated).

Nasdaq, Inc. operates as a technology company that serves capital markets and other industries worldwide. The Market Technology segment includes anti financial crime technology business, which offers Nasdaq Trade Surveillance, a SaaS solution for brokers and other market participants to assist them in complying with market rules, regulations, and internal market surveillance policies; Nasdaq Automated Investigator, a cloud-deployed anti-money laundering tool; and Verafin, a SaaS technology provider of anti-financial crime management solutions. This segment also handles assets, such as cash equities, equity derivatives, currencies, interest-bearing securities, commodities, energy products, and digital currencies. The Investment Intelligence segment sells and distributes historical and real-time market data; develops and licenses Nasdaq-branded indexes and financial products; and provides investment insights and workflow solutions. The Corporate Platforms segment operates listing platforms; and offers investor relations intelligence and governance solutions. As of December 31, 2021, it had 4,178 companies listed securities on The Nasdaq Stock Market, including 1,632 listings on The Nasdaq Global Select Market; 1,169 on The Nasdaq Global Market; and 1,377 on The Nasdaq Capital Market. The Market Services segment includes equity derivative trading and clearing, cash equity trading, fixed income and commodities trading and clearing, and trade management service businesses. This segment operates various exchanges and other marketplace facilities across various asset classes, which include derivatives, commodities, cash equity, debt, structured products, and exchange traded products; and provides broker, clearing, settlement, and central depository services. The company was formerly known as The NASDAQ OMX Group, Inc. and changed its name to Nasdaq, Inc. in September 2015. Nasdaq, Inc. was founded in 1971 and is headquartered in New York, New York.

Peru Imports: Capital Goods: Capital Goods Marketing: Office Equipment data was reported at 9.000 USD mn in Feb 2018. This records an increase from the previous number of 7.000 USD mn for Jan 2018. Peru Imports: Capital Goods: Capital Goods Marketing: Office Equipment data is updated monthly, averaging 10.000 USD mn from Jan 2008 (Median) to Feb 2018, with 122 observations. The data reached an all-time high of 34.000 USD mn in Feb 2011 and a record low of 4.000 USD mn in Jul 2009. Peru Imports: Capital Goods: Capital Goods Marketing: Office Equipment data remains active status in CEIC and is reported by Central Reserve Bank of Peru. The data is categorized under Global Database’s Peru – Table PE.JA012: Imports: by Commodity.

Warehouse Receipt Financing Market Outlook

According to our latest research, the global warehouse receipt financing market size reached USD 22.4 billion in 2024, reflecting the sector’s robust expansion. The market is projected to grow at a CAGR of 8.6% during the forecast period, reaching an estimated USD 47.1 billion by 2033. This growth is primarily driven by the increasing adoption of digital solutions, expanding agricultural trade, and the rising need for accessible credit among small and medium enterprises across emerging economies. As per our comprehensive analysis, the warehouse receipt financing market is poised for significant transformation, underpinned by technological advancements and evolving regulatory frameworks.

One of the primary growth factors propelling the warehouse receipt financing market is the rising demand for structured finance in the agricultural sector. Farmers and agri-businesses frequently face liquidity constraints post-harvest, which restricts their ability to optimize returns by selling their produce at favorable market conditions. Warehouse receipt financing enables them to use stored commodities as collateral, thereby unlocking working capital without immediate sale pressure. This system not only empowers smallholder farmers but also enhances the efficiency of agricultural value chains. The expansion of organized warehousing infrastructure, especially in developing nations, is further accelerating the adoption of warehouse receipt financing, bridging the credit gap for rural and semi-urban populations.

Another key driver is the rapid digitization of warehouse receipts, which is revolutionizing the traditional paper-based systems. The transition to electronic warehouse receipts (EWRs) has significantly reduced operational risks, minimized fraud, and improved transparency in collateral management. Fintech companies and technology providers are introducing innovative platforms that integrate with banking systems and regulatory bodies, thus streamlining the entire process from storage to financing. These digital advancements are not only lowering transaction costs but also enhancing the scalability and accessibility of warehouse receipt financing across diverse commodities, including grains, metals, and other non-perishable goods.

Moreover, the entry of non-traditional financial institutions and fintech firms is diversifying the provider landscape in the warehouse receipt financing market. Banks, non-banking financial institutions (NBFIs), and emerging fintech companies are leveraging advanced analytics, blockchain, and IoT-based solutions to offer tailored financing products. This competition is fostering innovation and driving down the cost of capital for end-users. Additionally, supportive government policies, such as mandatory registration of warehouses and the establishment of regulatory authorities, are creating a favorable environment for market growth. These initiatives are particularly impactful in emerging economies, where access to formal credit remains a challenge for many agricultural and commodity-based businesses.

Regionally, Asia Pacific dominates the warehouse receipt financing market, accounting for the largest share in 2024, followed by North America and Europe. The market in Asia Pacific is characterized by a large agricultural base, increasing government support, and rapid digital adoption. North America and Europe, on the other hand, benefit from advanced warehousing infrastructure and a mature commodities market. Latin America and the Middle East & Africa are witnessing steady growth, driven by rising commodity exports and the gradual modernization of supply chains. Each region presents unique opportunities and challenges, influenced by local regulatory frameworks, commodity profiles, and the maturity of financial ecosystems.

Component Analysis

The component segment of the warehouse receipt financing market is bifurcated into software and services, each playing a pivotal role in shaping the industry’s trajectory. Software solutions are at the heart of the digital transformation sweeping across the market. These platforms facilitate the issuance, management, and verification of warehouse receipts, ensuring transparency and security throughout the financing process. Advanced software systems often incorporate blockchain technology, real-time inventory tracking, and integration with banking platforms, which collectively reduce risks related to fra