28 datasets found
  1. H

    Indonesian tweet data of commodity price quote

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jul 20, 2017
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    Jaewoo Kim; Jonggun Lee (2017). Indonesian tweet data of commodity price quote [Dataset]. http://doi.org/10.7910/DVN/XWM9VB
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 20, 2017
    Dataset provided by
    Harvard Dataverse
    Authors
    Jaewoo Kim; Jonggun Lee
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Indonesian tweet data of commodity price quote between June 2012 and September 2013. for PeerJ reviewers

  2. S

    Real Time Quotes for Crude Oil

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Dec 1, 2025
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    IndexBox Inc. (2025). Real Time Quotes for Crude Oil [Dataset]. https://www.indexbox.io/search/real-time-quotes-for-crude-oil/
    Explore at:
    xlsx, xls, doc, docx, pdfAvailable download formats
    Dataset updated
    Dec 1, 2025
    Dataset authored and provided by
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Dec 2, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Real-time quotes for crude oil play a crucial role in the financial and commodities markets. These quotes provide traders, investors, and analysts with up-to-date information about the current price and performance of crude oil. The prices of crude oil are influenced by various factors such as supply and demand, geopolitical events, economic data, and weather conditions.

  3. T

    Natural gas - Price Data

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 3, 2025
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    TRADING ECONOMICS (2025). Natural gas - Price Data [Dataset]. https://tradingeconomics.com/commodity/natural-gas
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Dec 3, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 3, 1990 - Dec 3, 2025
    Area covered
    World
    Description

    Natural gas rose to 4.94 USD/MMBtu on December 3, 2025, up 2.04% from the previous day. Over the past month, Natural gas's price has risen 13.71%, and is up 62.29% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Natural gas - values, historical data, forecasts and news - updated on December of 2025.

  4. S

    Cbot Soybean Futures Quotes

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Nov 1, 2025
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    IndexBox Inc. (2025). Cbot Soybean Futures Quotes [Dataset]. https://www.indexbox.io/search/cbot-soybean-futures-quotes/
    Explore at:
    xlsx, docx, xls, doc, pdfAvailable download formats
    Dataset updated
    Nov 1, 2025
    Dataset authored and provided by
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Nov 28, 2025
    Area covered
    United States
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Explore the intricacies of CBOT Soybean Futures, a vital part of the global commodities market, covering pricing trends, factors affecting quotes, and trading strategies for producers and investors.

  5. l

    Forex, Crypto and Commodities

    • leeway.tech
    Updated Nov 19, 2025
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    (2025). Forex, Crypto and Commodities [Dataset]. https://www.leeway.tech/data-api/en
    Explore at:
    Dataset updated
    Nov 19, 2025
    Description

    REST API access to thousands of currency pairs, cryptocurrencies and commodities. 100,000 requests/day - €50/month. Real-time quotes and max. available history for all cryptos, currencies and commodities!

  6. T

    Crude Oil - Price Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Crude Oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/crude-oil
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 30, 1983 - Dec 2, 2025
    Area covered
    World
    Description

    Crude Oil fell to 59.17 USD/Bbl on December 2, 2025, down 0.25% from the previous day. Over the past month, Crude Oil's price has fallen 3.08%, and is down 15.40% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on December of 2025.

  7. Soybean Oil Futures Quotes

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Nov 1, 2025
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    IndexBox Inc. (2025). Soybean Oil Futures Quotes [Dataset]. https://www.indexbox.io/search/soybean-oil-futures-quotes/
    Explore at:
    docx, xlsx, doc, pdf, xlsAvailable download formats
    Dataset updated
    Nov 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Nov 22, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Explore how soybean oil futures serve as a vital tool in the commodities market, allowing traders to hedge against price fluctuations. Learn about factors influencing prices, such as weather, global demand, and geopolitical events, and understand the importance of quotes, analysis, and the roles of speculators and hedgers.

  8. T

    Lumber - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Lumber - Price Data [Dataset]. https://tradingeconomics.com/commodity/lumber
    Explore at:
    json, csv, xml, excelAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 24, 1978 - Dec 1, 2025
    Area covered
    World
    Description

    Lumber fell to 537 USD/1000 board feet on December 1, 2025, down 1.29% from the previous day. Over the past month, Lumber's price has fallen 1.47%, and is down 9.54% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lumber - values, historical data, forecasts and news - updated on December of 2025.

  9. ABF.L Stock Merged FAO Food Price Indices

    • kaggle.com
    zip
    Updated Dec 22, 2023
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    Lucas Mogg (2023). ABF.L Stock Merged FAO Food Price Indices [Dataset]. https://www.kaggle.com/datasets/lucasmogg/abfl-stock-merged-fao-food-price-indices
    Explore at:
    zip(8922 bytes)Available download formats
    Dataset updated
    Dec 22, 2023
    Authors
    Lucas Mogg
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Data Sources: https://www.fao.org/worldfoodsituation/foodpricesindex/en https://uk.finance.yahoo.com/quote/ABF.L/history?p=ABF.L

    Data Headings: Date: The date of the record, in the format DD/MM/YYYY. Food Price Index: A measure of the monthly change in international prices of a basket of food commodities. Meat: The index value for meat prices. Dairy: The index value for dairy product prices. Cereals: The index value for cereal prices. Oils: The index value for oil prices. Sugar: The index value for sugar prices. Monthly High ABF.L Stock Price: The highest stock price of ABF.L (Associated British Foods plc) for each month.

  10. T

    Iron Ore - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Iron Ore - Price Data [Dataset]. https://tradingeconomics.com/commodity/iron-ore
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 22, 2010 - Dec 1, 2025
    Area covered
    World
    Description

    Iron Ore rose to 106.94 USD/T on December 1, 2025, up 2.00% from the previous day. Over the past month, Iron Ore's price has risen 1.04%, and is up 1.54% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Iron Ore - values, historical data, forecasts and news - updated on December of 2025.

  11. B3 - Brasil Bolsa Balcão S.A.

    • eulerpool.com
    Updated Oct 20, 2025
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    Eulerpool (2025). B3 - Brasil Bolsa Balcão S.A. [Dataset]. https://eulerpool.com/data-analytics/finanzdaten/pricing-and-market-data/b3---brasil-bolsa-balc%C3%A3o-s.a.
    Explore at:
    Dataset updated
    Oct 20, 2025
    Dataset provided by
    Eulerpool.com
    Authors
    Eulerpool
    Description

    B3 S.A. – Brasil, Bolsa, Balcão came into existence in its present form through the amalgamation of BM&F (Commodities & Futures Exchange), Bovespa (São Paulo Stock Exchange), and Cetip (Central of Custody and Financial Settlement of Securities for the organized OTC market). Today, it ranks among the globe's largest financial market infrastructure firms, offering trading services in both Exchange and OTC settings. Our offerings include the primary market information services of B3, accessible in real time or as delayed data for all instruments within its Indices, Level 1, and Level 2 (market depth) products. This covers all asset categories such as equity, ETFs, commodities, and more. You can obtain the data in numerous ways, all customized to fit your specific needs and workflows. These methods range from electronic low latency datafeed for trading through our desktop services, which provide comprehensive analytical tools, to our end-of-day valuation and risk management products.

  12. T

    Copper - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Copper - Price Data [Dataset]. https://tradingeconomics.com/commodity/copper
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 29, 1988 - Dec 2, 2025
    Area covered
    World
    Description

    Copper rose to 5.19 USD/Lbs on December 2, 2025, up 0.35% from the previous day. Over the past month, Copper's price has risen 3.22%, and is up 25.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Copper - values, historical data, forecasts and news - updated on December of 2025.

  13. Forecast Cyclically Demanded Products

    • kaggle.com
    zip
    Updated Oct 16, 2023
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    Oscar Aguilar (2023). Forecast Cyclically Demanded Products [Dataset]. https://www.kaggle.com/datasets/oscarm524/forecast-cyclically-demanded-products
    Explore at:
    zip(7502484 bytes)Available download formats
    Dataset updated
    Oct 16, 2023
    Authors
    Oscar Aguilar
    Description

    This data is about Pia and Philip business, a married couple. They started their new e-commerce business during the pandemic in 2020 by offering convenience goods online. They began by selling an assortment of masks and disinfectants, but quickly expanded to a wider range of various everyday commodities.

    Having both a background in traditional and online retail, they are aware of how distant and impersonal online shopping can feel and, at the same time, how important customer guidance and recommendations are for long-term customer loyalty.

    To differentiate themselves from the many other commodity shops, they decided to put an even more significant emphasis on personalized recommendations and offers.

    One key element of this strategy is a customized weekly newsletter that personally addresses each of their clients. The newsletter includes user favorites, products similar customers liked, new additions, and special offers. However, they quickly noticed a problem: repeated recommendations of recently purchased products. One quick workaround for this issue was implementing a filter that would exclude products from the recommendation for a fixed number of days. This, however, did not meet the high standards of Pia and Philip.

    They are instead looking for a model that can reliably predict the week that a returning customer might repurchase one of their frequently purchased items.

    By knowing the estimated week of replenishment, products can be added to the newsletter as a reminder, thus increasing basket sizes and profits.

    Since the owners are only interested in the best possible solution, they organized a contest to benchmark competing prediction approaches.

    The Data

    To create a prediction model, the participants will receive historical transaction and descriptive item data in the form of structured text files (.csv).

    The data is provided in four individual files. One file containing the orders ("orders.csv"), one containing descriptive item data ("items.csv"), one containing item and category hierarchy information (category_hierarchy.csv), and a template for the result submission ("submission.csv"). Here are some points to note about the files:

    1. The first line (top line) has the same structure as the data sets but contains the names of the respective columns (data fields).
    2. A list of all the column names, which occur in the appropriate order, can be found in the "features.pdf" file along with brief descriptions and value ranges for the associated fields.
    3. The top row and each data set contain several fields separated from each other by the "|" (pipe) symbol.
    4. There is no escape character: quotes are not used.
    5. The encoding is "utf-8".

    The "items.csv" file is a master data set that contains descriptive features. All features are categorical but numerically encoded. The list of features is explained in the "features.pdf" file. Each data line contains the description for one single item.

    The "orders.csv" file contains information about user-specific orders across eight months. Each line displays one transaction for one single item. All attributes are described in the "features.pdf" file.

    The "category_hierarchy.csv" file contains two columns of encoded categories, that maps each category to its parent category.

    The "submission.csv" file is the reference for submission and contains a predefined subset of userID and itemID combinations as well as an empty "prediction" column for the participants to fill in.

    The Task

    The goal is to predict the user-based replenishment of a product based on historical orders and item features. Individual items and user specific orders are given for the period between 01.06.2020 and 31.01.2021. The prediction period is between 01.02.2021 and 28.02.2021, which is exactly four weeks long.

    For a predefined subset of user and product combinations, the participants shall predict if and when a product will be purchased during the prediction period.

    The prediction column in the "submission.csv" file must be filled accordingly.

    • 0: no replenishment during that period
    • 1: replenishment in the first week
    • 2: replenishment in the second week
    • 3: replenishment in the third week
    • 4: replenishment in the fourth week
  14. T

    Brent crude oil - Price Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Brent crude oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/brent-crude-oil
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 15, 1970 - Dec 2, 2025
    Area covered
    World
    Description

    Brent fell to 63.05 USD/Bbl on December 2, 2025, down 0.19% from the previous day. Over the past month, Brent's price has fallen 2.84%, and is down 14.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Brent crude oil - values, historical data, forecasts and news - updated on December of 2025.

  15. T

    Rubber - Price Data

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 3, 2025
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    TRADING ECONOMICS (2025). Rubber - Price Data [Dataset]. https://tradingeconomics.com/commodity/rubber
    Explore at:
    excel, json, xml, csvAvailable download formats
    Dataset updated
    Dec 3, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jul 1, 1997 - Dec 2, 2025
    Area covered
    World
    Description

    Rubber fell to 171.90 USD Cents / Kg on December 2, 2025, down 4.50% from the previous day. Over the past month, Rubber's price has risen 0.82%, but it is still 14.65% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Rubber - values, historical data, forecasts and news - updated on December of 2025.

  16. Copper Price Per Pound Near Me

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Nov 1, 2025
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    IndexBox Inc. (2025). Copper Price Per Pound Near Me [Dataset]. https://www.indexbox.io/search/copper-price-per-pound-near-me/
    Explore at:
    xlsx, docx, doc, xls, pdfAvailable download formats
    Dataset updated
    Nov 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Nov 20, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Explore the varying local price of copper per pound and understand the influencing factors like market demand, geopolitical issues, and economic conditions. Access real-time quotes through major commodity exchanges or recycling centers.

  17. Global Derivatives Market 2015-2019

    • technavio.com
    pdf
    Updated Nov 18, 2015
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    Technavio (2015). Global Derivatives Market 2015-2019 [Dataset]. https://www.technavio.com/report/global-miscellaneous-derivatives-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Nov 18, 2015
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Description

    Snapshot img { margin: 10px !important; } Market outlook of derivatives

    The top vendors in this market are focusing on the supervision of the financial systems and identifying cross-border systemic risks so that there can be transparency in the system to bring in potential investors to invest in the market over the forecast period. According to the derivatives market analysis, Technavio’s market research analysts predict the growth of the derivatives market rate of over 14% over the next four years.

    Innovative products like volatility index derivatives are gaining a lot of importance in Europe and the US. The markets like equity, commodity, and currency would be bullish during the forecast period due to an increase in the number of trade volumes. Due to long-term interest rate options and single stock derivatives the revenue generation is expected to be more in the currency and commodity derivatives market during the forecast period.

    Research scope and segmentation of the global derivatives market

    To calculate the market size, analysts have considered the three types of derivatives market:

    Exchange traded derivatives
    Semi-annual OTC derivatives
    Triennial OTC derivatives
    

    The foreign exchange turnover was around USD 6 trillion at the end of 2014 which is an all-time high. Many investors have tried to diversify their portfolio into riskier assets like international equities and local currency emerging market bonds. Therefore, as investors are more focused on rebalancing their portfolios more frequently, it has led to the increasing need to trade in foreign exchange in large quantities. This trend will aid in increasing the derivative market size through 2019.

    Geographical segmentation of the global derivatives market

    North America
    APAC
    Europe
    Others
    

    North America has the highest market share for derivatives trading. The top vendor offerings include protection from market spikes, short-term expirations, opportunities in flat markets, and regulated exchange solutions over the forecast period.

    Looking at the market demand, the North American Derivatives Exchange has released an advanced trading platform that makes trading faster through a single window where they can view all charts and quotes.

    Key vendors analyzed in the report

    ANZ
    BNP Paribas
    Deutsche Bank
    Goldman Sachs
    J.P. Morgan
    Nomura
    Societe Generale
    

    The other prominent vendors of this market are Morgan Stanley, Wells Fargo, and SunTrust Bank.

    Key questions answered in the report

    Market share analysis of the key vendors of the global derivatives market?
    
    
    
    What are the key factors driving the global derivatives market?
    What are the key market trends impacting the growth of the global derivatives market?
    What are the various opportunities and threats faced by the vendors in the global derivatives market?
    Trending factors influencing the market shares for EMEA, APAC, and Americas?
    Key outcome of the five forces analysis on the global derivatives market?
    Growth forecast of the global derivatives market until 2019?
    

    Technavio also offers customization on reports based on specific client requirement.

    Related reports

    Global SBC and Its Derivatives Market 2015-2019
    Global Starch Derivatives Market 2015-2019
    Gelatin and Gelatin Derivatives Isinglass and Bone Glues Market in Europe 2014-2018
    Global Propionic Acid and Its Derivatives Market 2014-2018
    
  18. T

    EU Carbon Permits - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). EU Carbon Permits - Price Data [Dataset]. https://tradingeconomics.com/commodity/carbon
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Apr 22, 2005 - Dec 1, 2025
    Area covered
    European Union, World
    Description

    EU Carbon Permits fell to 82.64 EUR on December 1, 2025, down 0.74% from the previous day. Over the past month, EU Carbon Permits's price has risen 1.77%, and is up 20.06% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for EU Carbon Permits.

  19. T

    Lithium - Price Data

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 26, 2025
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    TRADING ECONOMICS (2025). Lithium - Price Data [Dataset]. https://tradingeconomics.com/commodity/lithium
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 10, 2017 - Dec 2, 2025
    Area covered
    World
    Description

    Lithium rose to 94,400 CNY/T on December 2, 2025, up 0.05% from the previous day. Over the past month, Lithium's price has risen 16.54%, and is up 20.64% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Lithium - values, historical data, forecasts and news - updated on December of 2025.

  20. T

    Uranium - Price Data

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 12, 2025
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    TRADING ECONOMICS (2025). Uranium - Price Data [Dataset]. https://tradingeconomics.com/commodity/uranium
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    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Nov 12, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1988 - Dec 1, 2025
    Area covered
    World
    Description

    Uranium fell to 76.40 USD/Lbs on December 1, 2025, down 0.07% from the previous day. Over the past month, Uranium's price has fallen 5.45%, and is down 1.80% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Uranium - values, historical data, forecasts and news - updated on December of 2025.

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Jaewoo Kim; Jonggun Lee (2017). Indonesian tweet data of commodity price quote [Dataset]. http://doi.org/10.7910/DVN/XWM9VB

Indonesian tweet data of commodity price quote

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CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Jul 20, 2017
Dataset provided by
Harvard Dataverse
Authors
Jaewoo Kim; Jonggun Lee
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Description

Indonesian tweet data of commodity price quote between June 2012 and September 2013. for PeerJ reviewers

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