Get access to leading commodities news coverage for energy, metals, and agricultural markets including breaking news, insight, and commodity pricing.

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.

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.

Graph and download economic data for Producer Price Index by Commodity: Pulp, Paper, and Allied Products: News and Other Low Grade Recyclable Paper (WPU091201) from Jan 1967 to Jul 2025 about grades, paper, commodities, PPI, inflation, price index, indexes, price, and USA.

United States - Producer Price Index by Commodity: Publishing Sales, Excluding Software: Newspaper Subscription and Single Copy Sales was 693.84600 Index 1982=100 in August of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Commodity: Publishing Sales, Excluding Software: Newspaper Subscription and Single Copy Sales reached a record high of 694.49100 in May of 2025 and a record low of 108.40000 in January of 1984. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Commodity: Publishing Sales, Excluding Software: Newspaper Subscription and Single Copy Sales - last updated from the United States Federal Reserve on November of 2025.

Context: This dataset contains the gold commodity news annotated into various dimensions including information such as past movements and expected directionality in prices, asset comparison and other general information that the news is referring to

Content: The dataset contains 12 columns.

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

Graph and download economic data for Producer Price Index by Commodity: Publishing Sales, Excluding Software: Newspaper Subscription and Single Copy Sales (WPU331202) from Dec 1980 to Sep 2025 about periodicals, printing, software, sales, commodities, PPI, inflation, price index, indexes, price, and USA.

Stay informed about recent news updates and trends related to the crude oil commodity market, including OPEC production cuts, geopolitical tensions, demand recovery amid COVID-19, renewable energy initiatives, and inventory levels and stockpile data.

Staying informed about nickel commodity news is crucial for understanding market trends and making informed decisions. Factors such as EV demand, supply disruptions, trade policies, and the impact of global events like the pandemic can all affect the price and availability of nickel. By keeping an eye on these developments, investors and industry players can stay ahead of the curve and adapt their strategies accordingly.

China Commodity Trading Market over 100 M Yuan: Operating Area: Books, Newspapers and Magazines Market data was reported at 67.574 sq m th in 2023. This stayed constant from the previous number of 67.574 sq m th for 2022. China Commodity Trading Market over 100 M Yuan: Operating Area: Books, Newspapers and Magazines Market data is updated yearly, averaging 81.950 sq m th from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 103.400 sq m th in 2013 and a record low of 56.174 sq m th in 2019. China Commodity Trading Market over 100 M Yuan: Operating Area: Books, Newspapers and Magazines 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: Operating Area.

China Commodity Trading Market over 100 M Yuan: Turnover: Wholesale: Books, Newspapers and Magazines Market data was reported at 1.589 RMB bn in 2023. This records an increase from the previous number of 1.438 RMB bn for 2022. China Commodity Trading Market over 100 M Yuan: Turnover: Wholesale: Books, Newspapers and Magazines Market data is updated yearly, averaging 1.766 RMB bn from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 2.903 RMB bn in 2016 and a record low of 1.312 RMB bn in 2020. China Commodity Trading Market over 100 M Yuan: Turnover: Wholesale: Books, Newspapers and Magazines 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.

Explore the dynamic global oil market impacted by geopolitical tensions, economic recovery, and a shift towards sustainable energy. Key players like OPEC+ navigate production levels amid calls for renewables as supply chains face disruptions from conflicts such as Russia-Ukraine. Discover how oil companies adapt with investments in green technology.

Understanding wheat commodity news is essential for traders, investors, and anyone interested in the agriculture sector. This article covers a wide range of topics including production forecasts, supply and demand updates, price movements, weather conditions, government policies, and international trade agreements. Monitoring these factors helps stakeholders make informed decisions and manage risk in the wheat market.

China Commodity Retail: Book, Newspaper & Magazine data was reported at 21,280.000 RMB mn in Mar 2025. This records an increase from the previous number of 18,430.000 RMB mn for Dec 2024. China Commodity Retail: Book, Newspaper & Magazine data is updated monthly, averaging 4,880.000 RMB mn from Jan 1997 (Median) to Mar 2025, with 311 observations. The data reached an all-time high of 22,530.000 RMB mn in Sep 2024 and a record low of 863.079 RMB mn in Jan 1997. China Commodity Retail: Book, Newspaper & Magazine data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.HA: Retail Sales of Consumer Goods: Above Designated Size Enterprise: by Commodity . [COVID-19-IMPACT]

China Commodity Trading Market over 100 M Yuan: Turnover by Category: Newspapers and Magazines data was reported at 6.437 RMB bn in 2023. This records an increase from the previous number of 5.562 RMB bn for 2022. China Commodity Trading Market over 100 M Yuan: Turnover by Category: Newspapers and Magazines data is updated yearly, averaging 7.141 RMB bn from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 11.455 RMB bn in 2019 and a record low of 5.562 RMB bn in 2022. China Commodity Trading Market over 100 M Yuan: Turnover by Category: Newspapers and Magazines 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 by Category.

Graph and download economic data for Producer Price Index by Commodity: Pulp, Paper, and Allied Products: Newsprint (WPU091302) from Jan 1971 to Aug 2025 about periodicals, paper, commodities, PPI, inflation, price index, indexes, price, and USA.

China Commodity Sales: Newspaper and Magazines data was reported at 209.124 RMB bn in 2017. This records an increase from the previous number of 202.210 RMB bn for 2016. China Commodity Sales: Newspaper and Magazines data is updated yearly, averaging 88.348 RMB bn from Dec 1998 (Median) to 2017, with 20 observations. The data reached an all-time high of 209.124 RMB bn in 2017 and a record low of 47.540 RMB bn in 1998. China Commodity Sales: Newspaper and Magazines 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: Wholesale and Retail Sales: Commodity Sales: Above Designated Size Enterprise.

China Commodity Trading Market over 100 M Yuan: Number of Booth by Category: Newspapers and Magazines data was reported at 2,027.000 Unit in 2023. This records a decrease from the previous number of 2,093.000 Unit for 2022. China Commodity Trading Market over 100 M Yuan: Number of Booth by Category: Newspapers and Magazines data is updated yearly, averaging 4,502.500 Unit from Dec 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 5,377.000 Unit in 2011 and a record low of 2,027.000 Unit in 2023. China Commodity Trading Market over 100 M Yuan: Number of Booth by Category: Newspapers and Magazines 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.

Bangladesh Production: Printing of Newspaper data was reported at 198,318,000.000 Number in Aug 2022. This records a decrease from the previous number of 199,576,000.000 Number for Jul 2022. Bangladesh Production: Printing of Newspaper data is updated monthly, averaging 120,897,000.000 Number from Jun 2015 (Median) to Aug 2022, with 87 observations. The data reached an all-time high of 203,576,000.000 Number in May 2022 and a record low of 62,500,000.000 Number in Jul 2015. Bangladesh Production: Printing of Newspaper data remains active status in CEIC and is reported by Bangladesh Bureau of Statistics. The data is categorized under Global Database’s Bangladesh – Table BD.B022: Production by Commodity.

The dataset is a created by the fusion of multiple types of data collected from different sources. It contains a raw form of textual data of news collected from web news through web scraping. so that it can be manipulated according to the requirement. A processed from of dataset is also attached that contains the sentiments extracted from events highlighted in news and merged with financial dataset to perform a combined study.