Gold fell to 3,333.04 USD/t.oz on July 2, 2025, down 0.16% from the previous day. Over the past month, Gold's price has fallen 0.61%, but it is still 41.30% higher than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on July of 2025.

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.

Analysis of ‘Sentiment Analysis of Commodity News (Gold)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/ankurzing/sentiment-analysis-in-commodity-market-gold on 14 February 2022.

--- Dataset description provided by original source is as follows ---

Context

This is a news dataset for the commodity market where we have manually annotated 11,412 news headlines across multiple dimensions into various classes. The dataset has been sampled from a period of 20+ years (2000-2021).

Content

The dataset has been collected from various news sources and annotated by three human annotators who were subject experts. Each news headline was evaluated on various dimensions, for instance - if a headline is a price related news then what is the direction of price movements it is talking about; whether the news headline is talking about the past or future; whether the news item is talking about asset comparison; etc.

Acknowledgements

Sinha, Ankur, and Tanmay Khandait. "Impact of News on the Commodity Market: Dataset and Results." In Future of Information and Communication Conference, pp. 589-601. Springer, Cham, 2021.

https://arxiv.org/abs/2009.04202 Sinha, Ankur, and Tanmay Khandait. "Impact of News on the Commodity Market: Dataset and Results." arXiv preprint arXiv:2009.04202 (2020)

We would like to acknowledge the financial support provided by the India Gold Policy Centre (IGPC).

Inspiration

Commodity prices are known to be quite volatile. Machine learning models that understand the commodity news well, will be able to provide an additional input to the short-term and long-term price forecasting models. The dataset will also be useful in creating news-based indicators for commodities.

Apart from researchers and practitioners working in the area of news analytics for commodities, the dataset will also be useful for researchers looking to evaluate their models on classification problems in the context of text-analytics. Some of the classes in the dataset are highly imbalanced and may pose challenges to the machine learning algorithms.

--- Original source retains full ownership of the source dataset ---

Context This is a news dataset for the commodity market where we have manually annotated 10,000+ news headlines across multiple dimensions into various classes. The dataset has been sampled from a period of 20+ years (2000-2021).

Content The dataset has been collected from various news sources and annotated by three human annotators who were subject experts. Each news headline was evaluated on various dimensions, for instance - if a headline is a price related news then what is the direction of price movements it is talking about; whether the news headline is talking about the past or future; whether the news item is talking about asset comparison; etc.

Acknowledgements Sinha, Ankur, and Tanmay Khandait. "Impact of News on the Commodity Market: Dataset and Results." In Future of Information and Communication Conference, pp. 589-601. Springer, Cham, 2021.

https://arxiv.org/abs/2009.04202 Sinha, Ankur, and Tanmay Khandait. "Impact of News on the Commodity Market: Dataset and Results." arXiv preprint arXiv:2009.04202 (2020)

We would like to acknowledge the financial support provided by the India Gold Policy Centre (IGPC).

Inspiration Commodity prices are known to be quite volatile. Machine learning models that understand the commodity news well, will be able to provide an additional input to the short-term and long-term price forecasting models. The dataset will also be useful in creating news-based indicators for commodities.

Apart from researchers and practitioners working in the area of news analytics for commodities, the dataset will also be useful for researchers looking to evaluate their models on classification problems in the context of text-analytics. Some of the classes in the dataset are highly imbalanced and may pose challenges to the machine learning algorithms.

Original Data Source: Sentiment Analysis of Commodity News (Gold)

As of June 25, 2024, gold futures contracts to be settled in June 2030 were trading on U.S. markets at around ***** U.S. dollars per troy ounce. This is above the price of ******* U.S. dollars per troy ounce for contracts to be settled in June 2025, indicating that gold traders expect the price of gold to rise over the next five years. Gold futures are contracts that effectively lock in a price for an amount of gold to be purchased at a time in the future, which can then be traded on markets. Futures markets therefore provide an indicator of how investors think a commodities market will develop in the future.

CN: Commodity Trading Market over 100 M Yuan: Turnover: Wholesale: Gold, Jeweller, Jade Market data was reported at 82.605 RMB bn in 2023. This records a decrease from the previous number of 91.436 RMB bn for 2022. CN: Commodity Trading Market over 100 M Yuan: Turnover: Wholesale: Gold, Jeweller, Jade Market data is updated yearly, averaging 45.996 RMB bn from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 91.436 RMB bn in 2022 and a record low of 19.970 RMB bn in 2008. CN: Commodity Trading Market over 100 M Yuan: Turnover: Wholesale: Gold, Jeweller, Jade Market data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.RJA: Commodity Trading Market over 100 Million Yuan: Turnover: Wholesale.

Gold prices in , May, 2025 For that commodity indicator, we provide data from January 1960 to May 2025. The average value during that period was 596.56 USD per troy ounce with a minimum of 34.94 USD per troy ounce in January 1970 and a maximum of 3309.49 USD per troy ounce in May 2025. | TheGlobalEconomy.com

As of the end of April 2024, boerse.de Gold was the best-performing gold exchange-traded commodity (ETC) worldwide. EUWAX Gold followed closely behind in second place, providing an annual return of 10.64 percent by the month of April.

Silver rose to 36.10 USD/t.oz on July 2, 2025, up 0.19% from the previous day. Over the past month, Silver's price has risen 4.57%, and is up 18.25% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Silver - values, historical data, forecasts and news - updated on July of 2025.

Monthly gold prices in USD since 1833 (sourced from the World Gold Council). The data is derived from historical records compiled by Timothy Green and supplemented by data provided by the World Bank...

This table presents the mean, standard deviation (SD) for the illiquidity and volatility of each commodity market as well as the stock market. Illiquidity is measured using the Amihud measure for each market. The sample runs from January 1, 2010 to March 22, 2021.

China Settlement Price: Shanghai Future Exchange: Gold: 5th Month data was reported at 785.840 RMB/g in Apr 2025. This records an increase from the previous number of 725.480 RMB/g for Mar 2025. China Settlement Price: Shanghai Future Exchange: Gold: 5th Month data is updated monthly, averaging 287.775 RMB/g from Jan 2008 (Median) to Apr 2025, with 208 observations. The data reached an all-time high of 785.840 RMB/g in Apr 2025 and a record low of 159.600 RMB/g in Oct 2008. China Settlement Price: Shanghai Future Exchange: Gold: 5th Month data remains active status in CEIC and is reported by Shanghai Futures Exchange. The data is categorized under China Premium Database’s Financial Market – Table CN.ZB: Shanghai Futures Exchange: Commodity Futures: Settlement Price.

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.

Gold: A Brighter Future Ahead?

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

In 2025, the price of platinum is forecast to hover around 1,150 U.S. dollars per troy ounce. Meanwhile, the cost of per troy ounce of gold is expected to amount to 1,700 U.S. dollars.

Precious metals

Precious metals are counted among the most valuable commodities worldwide. The most well known such metals are gold, silver and the platinum group metals. A precious metal can be used as an industrial commodity or as an investment. The major areas of application include the following sectors: technology, car-making, industrial manufacturing and jewelry making. Furthermore, gold and silver are used as coinage metals, and gold reserves are held by the central banks of many countries worldwide in order to store value or for use as a redemption medium. The idea behind this procedure is that gold reserves will help secure and stabilize the countries’ respective currencies. At 8,100 tons, the United States is the country with the most extensive stock of gold. It is kept in an underground vault at the New York Federal Reserve Bank.

Russia, the United States, Canada, South Africa and China are the main producers of precious metals. Silver is the most abundant of the metals, followed by gold and palladium. Barrick Gold is the world’s largest gold mining company. The Toronto-based firm produced some five million ounces of gold in 2020. The leading silver producers include Mexico-based Fresnillo, Poland’s KGHM Polska Miedž and the mining giant Glencore. Anglo Platinum and Impala are the key mining companies to produce platinum group metals.

In 2023, Silver prices are expected to settle at around 23.5 U.S. dollars per troy ounce. It is expected to remain the precious metal with the lowest value per ounce. The price of gold is forecast to drop to around 1,663 U.S. dollars per ounce, making it the most expensive precious metal in 2023.

China Commodity Trading Market over 100 M Yuan: Number of Booth by Category: Gold, Silver and Jewellery data was reported at 27,519.000 Unit in 2023. This records an increase from the previous number of 25,194.000 Unit for 2022. China Commodity Trading Market over 100 M Yuan: Number of Booth by Category: Gold, Silver and Jewellery data is updated yearly, averaging 24,582.500 Unit from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 33,707.000 Unit in 2019 and a record low of 9,428.000 Unit in 2008. China Commodity Trading Market over 100 M Yuan: Number of Booth by Category: Gold, Silver and Jewellery data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Wholesale, Retail and Catering Sector – Table CN.RJA: Commodity Trading Market over 100 Million Yuan: Number of Booth by Category.

The Over-the-Counter (OTC) Commodity Trading Platform market is experiencing robust growth, driven by increasing demand for efficient and transparent trading solutions. The market's size in 2025 is estimated at $150 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 8% from 2025 to 2033. This growth is fueled by several key factors, including the rising adoption of electronic trading platforms, increasing globalization of commodity markets, and the growing need for sophisticated risk management tools among both institutional and retail investors. Furthermore, the integration of advanced technologies such as artificial intelligence and machine learning is enhancing trading efficiency and facilitating data-driven decision-making, further boosting market expansion. The increasing volatility in commodity prices also necessitates the use of efficient OTC platforms for hedging and speculation, contributing to the market's positive growth trajectory. Several key segments within the OTC Commodity Trading Platform market are contributing to this expansion. These include energy commodities (crude oil, natural gas), precious metals (gold, silver, platinum), and agricultural commodities (corn, wheat, soybeans). The market's geographical spread is also significant, with North America, Europe, and Asia-Pacific representing key regional hubs. Leading players in this dynamic market landscape include GAIN Global Markets Inc., AxiTrader Limited, LMAX Global, IG Group, CMC Markets, Saxo Bank, Ibg Holdings, L.L.C., City Index, XXZW Investment Group SA, eToro, and StoneX, each vying for market share through product innovation and strategic partnerships. The competitive landscape is characterized by ongoing technological advancements and a focus on providing clients with enhanced trading experiences. The forecast period of 2025-2033 suggests continuous expansion, albeit at a potentially moderating pace as the market matures.

Fine Silver: Pure silver with a fineness of 99.9% or higher Sterling Silver: An alloy of silver and copper, typically 92.5% silver German Silver: An alloy of copper, nickel, and zinc Coin Silver: An alloy used in the production of coins Britannia Silver: A type of silver alloy used in the production of British coins Mexican Silver: Traditionally produced in Mexico, renowned for its high purity Russian Silver: Historic and collectible silver produced in Russia Oxidized Silver: Silver that has undergone a chemical reaction to create a dark, antique look Recent developments include: Silver market forecasts from 2021 and the upcoming years suggest that most key industrial players focus on exploring new technologies that can be merged with the silver market production. This greatly helps in the purchase of commodities. Several regulatory bodies are implemented for the detection and quality verification of the silver as well that disclose a proper commodity market. Not only consumers but also manufacturers and retailers help with the same. This now provides numerous opportunities for marketers due to the rising demand of the prominent key players of the market like Goldcorp, Gold Fields, and Barrick Gold.. Key drivers for this market are: Growing global population and rising disposable income. Increasing demand for silver in electronics and technology. Concerns about energy security and the need for renewable energy sources.. Potential restraints include: Price volatility and fluctuations in supply and demand. Competition from substitute materials, such as copper and aluminum. Stringent environmental regulations governing silver mining and processing activities.. Notable trends are: Development of new technologies for silver extraction and processing. Rising adoption of silver-based antimicrobial and antibacterial technologies. Growing interest in silver as a sustainable investment asset..

This table presents the variance decompositions computed from a six-variable VAR for market i and CSI300 market. All variables are adjusted for deterministic time series variations. Illiquidity is measured using the Amihud measure for each stock and is averaged across stocks for each market. We choose the number of lags based on the SC and HQ criteria. The sample runs from January 1, 2010 to March 22, 2021.

The price of gold per troy ounce increased considerably between 1990 and 2025, despite some fluctuations. A troy ounce is the international common unit of weight used for precious metals and is approximately **** grams. At the end of 2024, a troy ounce of gold cost ******* U.S. dollars. As of * June 2025, it increased considerably to ******** U.S. dollars. Price of – additional information In 2000, the price of gold was at its lowest since 1990, with a troy ounce of gold costing ***** U.S. dollars in that year. Since then, gold prices have been rising and after the economic crisis of 2008, the price of gold rose at higher rates than ever before as the market began to see gold as an increasingly good investment. History has shown, gold is seen as a good investment in times of uncertainty because it can or is thought to function as a good store of value against a declining currency as well as providing protection against inflation. However, unlike other commodities, once gold is mined it does not get used up like other commodities (for example, such as gasoline). So while gold may be a good investment at times, the supply demand argument does not apply to gold. Nonetheless, the demand for gold has been mostly consistent.

OTC Commodity Trading Platform Market Outlook

As of 2023, the global market size for OTC commodity trading platforms is valued at approximately USD 2.5 billion and is expected to reach around USD 6.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.2% during the forecast period. The rapid digitalization of trading activities and the increasing complexity of commodity markets serve as significant drivers of this robust market expansion.

One of the primary growth factors for the OTC commodity trading platform market is the increasing reliance on digital technologies to streamline and optimize trading operations. With advancements in Artificial Intelligence (AI) and blockchain technology, trading platforms are now equipped with more sophisticated tools for risk management, data analytics, and transaction security. These innovations are particularly vital in the OTC (Over-The-Counter) markets, where trades are not standardized and require bespoke solutions for each transaction.

Another driving force is the rising demand for commodities as alternative investment assets. As financial markets become more volatile, investors are diversifying their portfolios to include commodities like gold, crude oil, and agricultural products. This diversification trend has led to a surge in the number of individual traders and financial institutions utilizing OTC trading platforms to facilitate their trades. Consequently, the need for platforms that offer reliable, real-time data and efficient trade execution has never been higher.

Regulatory changes and the increasing globalization of commodity markets also contribute to market growth. Stricter regulatory frameworks require more transparent and compliant trading practices, which these advanced platforms are well-equipped to offer. Additionally, as commodity markets become more interconnected globally, there is a heightened need for platforms that can handle multi-currency transactions, cross-border trades, and compliance with different regional regulations.

Regionally, North America currently holds a dominant market share due to its advanced financial infrastructure and high adoption rate of digital trading solutions. However, the Asia Pacific region is projected to exhibit the highest growth rate over the forecast period. The rapid industrialization and growing awareness of digital trading solutions in countries like China and India are key contributors to this regional surge.

Component Analysis

In the OTC commodity trading platform market, components are primarily classified into software and services. The software segment dominates the market due to the integral role that advanced software solutions play in facilitating complex trading operations. Modern software platforms offer a range of functionalities, from real-time market data analysis to automated trading and risk management. These capabilities are essential for traders looking to optimize their strategies and maximize returns in volatile markets.

The services segment, while smaller in comparison, is equally critical. It encompasses a broad range of offerings, including consulting, implementation, training, and managed services. As trading platforms become more complex and integrated with other financial systems, the need for expert services to ensure seamless operation and compliance with regulatory standards becomes increasingly important. Traders and financial institutions often rely on these services to gain a competitive edge and mitigate operational risks.

Within the software segment, there is a growing trend towards the integration of AI and machine learning algorithms. These technologies enable platforms to provide predictive analytics, enhance decision-making capabilities, and offer personalized trading strategies. The incorporation of blockchain technology for transaction security and transparency is another noteworthy trend, aimed at reducing fraud and enhancing trust in OTC markets.

The services segment is witnessing an upsurge in demand for managed services, particularly among small and medium-sized enterprises (SMEs) that may lack the in-house expertise to manage complex trading operations. Managed services offer a cost-effective solution by outsourcing the management of the trading platform to specialized providers. This trend is expected to continue as more SMEs enter the OTC commodity trading space.

Overall, the component analysis underscores the critical importance of both software and services in the OTC commod