100+ datasets found
  1. T

    GSCI Commodity Index - Price Data

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +15more
    csv, excel, json, xml
    Updated Jul 15, 2008
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    GSCI Commodity Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/gsci
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jul 15, 2008
    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
    Dec 31, 1969 - Mar 27, 2025
    Area covered
    World
    Description

    GSCI increased 9.31 points or 1.69% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. GSCI Commodity Index - values, historical data, forecasts and news - updated on March of 2025.

  2. Wheat Price Stock Market

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Mar 1, 2025
    + more versions
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    IndexBox Inc. (2025). Wheat Price Stock Market [Dataset]. https://www.indexbox.io/search/wheat-price-stock-market/
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    doc, pdf, xlsx, docx, xlsAvailable download formats
    Dataset updated
    Mar 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 - Mar 25, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    The wheat price stock market is an important component of the agricultural commodities market, providing a platform for farmers, traders, and investors to manage price risks and hedge against fluctuations in wheat prices. This article discusses the factors influencing the price of wheat, the participants in the wheat price stock market, and the role of commodity exchanges in facilitating trading.

  3. Daily stock price indexes of food commodities 2020-2025

    • statista.com
    Updated Feb 6, 2025
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    Daily stock price indexes of food commodities 2020-2025 [Dataset]. https://www.statista.com/statistics/1343824/daily-stock-price-indexes-of-food-commodities/
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    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2, 2020 - Feb 6, 2025
    Area covered
    Worldwide
    Description

    This statistic shows the stock prices of selected food commodities from January 2, 2020 to February 6, 2025. After the Russian invasion of Ukraine in February 2022, wheat prices increased significantly since both Russia and Ukraine are the key suppliers of the product. With the beginning of 2023, prices of selected food commodities started to decrease, but still stood higher than early-2020 levels.

  4. T

    Gold - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +18more
    csv, excel, json, xml
    Updated Mar 26, 2025
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    TRADING ECONOMICS (2025). Gold - Price Data [Dataset]. https://tradingeconomics.com/commodity/gold
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Mar 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
    Jan 3, 1968 - Mar 26, 2025
    Area covered
    World
    Description

    Gold increased 393.93 USD/t oz. or 15.01% since the beginning of 2025, 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 March of 2025.

  5. Corn Commodity Stock

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Mar 1, 2025
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    IndexBox Inc. (2025). Corn Commodity Stock [Dataset]. https://www.indexbox.io/search/corn-commodity-stock/
    Explore at:
    docx, xls, xlsx, pdf, docAvailable download formats
    Dataset updated
    Mar 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 - Mar 23, 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 complexities of trading corn commodity stocks, including futures, options, and ETFs. Understand the factors affecting global corn prices and how to invest wisely in this vital agricultural product.

  6. Daily stock price indexes of oil and gas commodities 2020-2025

    • statista.com
    Updated Feb 5, 2025
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    Statista (2025). Daily stock price indexes of oil and gas commodities 2020-2025 [Dataset]. https://www.statista.com/statistics/1343812/daily-stock-price-indexes-of-oil-and-gas-commodities/
    Explore at:
    Dataset updated
    Feb 5, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2, 2020 - Feb 4, 2025
    Area covered
    Worldwide
    Description

    This statistic shows the stock prices of selected oil and gas commodities from January 2, 2020 to February 4, 2025. After the Russian invasion of Ukraine in February 2022, energy prices climbed significantly. The highest increase can be observed for natural gas, whose price peaked in August and September 2022. By the beginning of 2023, natural gas price started to decline.

  7. Global Commodity Trading Risk Management (CTRM) Software Market Size By...

    • verifiedmarketresearch.com
    Updated Feb 15, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Commodity Trading Risk Management (CTRM) Software Market Size By Deployment Model, By Commodity Type, By Functionality, By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/commodity-trading-risk-management-ctrm-software-market/
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    Dataset updated
    Feb 15, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2030
    Area covered
    Global
    Description

    Commodity Trading Risk Management (CTRM) Software Market size was valued at USD 1.23 Billion in 2023 and is projected to reach USD 3.73 Billion by 2030, growing at a CAGR of 12.4% during the forecast period 2024-2030.

    Global Commodity Trading Risk Management (CTRM) Software Market Drivers

    The growth and development of the Commodity Trading Risk Management (CTRM) Software Market can be credited with a few key market drivers. Several of the major market drivers are listed below:

    G Volatility in Commodity Prices: To reduce price risk and maximise trading strategies, there is a need for sophisticated risk management solutions. These fluctuations in commodity prices are caused by a variety of factors, including supply and demand dynamics, geopolitical events, weather, and economic indicators.

    Commodity market globalisation: As commodity markets become more interconnected and globalised, they become more complex trading environments with a variety of counterparties, currencies, rules, and market structures. This increases the need for CTRM software to handle cross-border trading activities and compliance needs.

    Regulatory Compliance Requirements: In order to ensure compliance with regulations like Dodd-Frank, EMIR, MiFID II, and REMIT, regulatory bodies like the Commodity Futures Trading Commission (CFTC), European Securities and Markets Authority (ESMA), and other regulatory authorities impose strict regulatory requirements and reporting obligations. This leads to the adoption of CTRM software.

  8. f

    Data from: S1 Data -

    • figshare.com
    xlsx
    Updated Jan 2, 2024
    + more versions
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    Yu Lou; Chao Xiao; Yi Lian (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0296501.s001
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    xlsxAvailable download formats
    Dataset updated
    Jan 2, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yu Lou; Chao Xiao; Yi Lian
    License

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

    Description

    This study investigates the dynamic and asymmetric propagation of return spillovers between sectoral commodities and industry stock markets in China. Using a daily dataset from February 2007 to July 2022, we employ a time-varying vector autoregressive (TVP-VAR) model to examine the asymmetric return spillovers and dynamic connectedness across sectors. The results reveal significant time-varying spillovers among these sectors, with the industry stocks acting as the primary transmitter of information to the commodity market. Materials, energy, and industrials stock sectors contribute significantly to these spillovers due to their close ties to commodity production and processing. The study also identifies significant asymmetric spillovers with bad returns dominating, influenced by major economic and political events such as the 2008 global financial crisis, the 2015 Chinese stock market crisis, the COVID-19 pandemic, and the Russia-Ukraine war. Furthermore, our study highlights the unique dynamics within the Chinese market, where net information spillovers from the stock market to commodities drive the financialization process, which differs from the bidirectional commodity financialization observed in other markets. Finally, portfolio analysis reveals that the minimum connectedness portfolio outperforms other approaches and effectively reflects asymmetries. Understanding these dynamics and sectoral heterogeneities has important implications for risk management, policy development, and trading practices.

  9. T

    Orange Juice - Price Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Dec 15, 2015
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    Orange Juice - Price Data [Dataset]. https://tradingeconomics.com/commodity/orange-juice
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Dec 15, 2015
    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
    Jun 16, 1977 - Mar 26, 2025
    Area covered
    World
    Description

    Orange Juice decreased 237.26 USd/Lbs or 47.69% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Orange Juice - values, historical data, forecasts and news - updated on March of 2025.

  10. Global Energy Trading And Risk Management ETRM Market Report 2025 Edition,...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Aug 1, 2024
    + more versions
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    Cognitive Market Research (2024). Global Energy Trading And Risk Management ETRM Market Report 2025 Edition, Market Size, Share, CAGR, Forecast, Revenue [Dataset]. https://www.cognitivemarketresearch.com/energy-trading-and-risk-management-etrm-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Aug 1, 2024
    Dataset provided by
    Decipher Market Research
    Authors
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the Global Energy Trading and Risk Management Market Size will be USD XX Billion in 2023 and is set to achieve a market size of USD XX Billion by the end of 2031 growing at a CAGR of XX% from 2024 to 2031.

    • The global energy trading and risk management (ETRM). market will expand significantly by XX% CAGR between 2024 and 2031. • The software type segment accounts for the largest market share and is anticipated to a healthy growth over the approaching years. • The United States energy trading and risk management (ETRM). had a market share of about XX% in 2022. • The physical trading sector holds the largest share and is expected to grow in the coming years as well. • Power application is the market's largest contributor and is anticipated to expand at a CAGR of XX% during the projected period. • The North America region dominated the market and accounted for the highest revenue of XX% in 2022 and it is projected that it will grow at a CAGR of XX% in the future.

    Market Dynamics: Energy Trading and Risk Management (ETRM)

    Key Drivers-

    Market volatility and uncertainty will drive the market for energy trading and risk management-
    

    Uncertainty has Various causes, including geopolitical events, supply-demand mismatches, weather patterns, and regulatory changes, these uncertainties in the market cause price fluctuation in the energy markets. For monitoring and reducing risks related to price swings and market uncertainty, ETRM systems are crucial. The rapid growth of commodities markets has drawn a wave of new entrants—such as tech-focused trading players, hedge funds, and banks, as well as players involved in mining and processing—creating a need for additional liquid and risk management offerings. Despite the decrease in market prices, commodity markets remain tight, and changes in demand and supply have become harder to predict. Further, uncertainty around the security of the energy supply contributes to price volatility, which is amplified by higher, shifting interest rates. For instance- Elections can also influence investor sentiment, impacting market dynamics. proposals related to fiscal discipline, trade agreements, or monetary policy can sway investor sentiment and drive market movements. Investors often closely monitor candidates' economic agendas and assess the potential implications for sectors and industries. (source:https://m.economictimes.com/markets/stocks/news/navigating-market-volatility-during-elections-insights-strategies-for-investors/articleshow/110384178.cms) Hence, ETRM systems are necessary to manage the complexities of multi-commodity trading, derivatives, complex contracts, and shifting market structures.

    Increasing Focus on Environmental Sustainability Initiatives drives the market of energy trading and risk management-
    

    The transition to environmental sustainability and decarbonization activities is driving substantial changes in the energy industry, increasing demand for energy trading and risk management (ETRM) solutions. With increasing concerns about climate change, air pollution, and resource scarcity comes an urgent need to transition from non-renewable energy sources to cleaner alternatives that reduce carbon emissions throughout the entire value chain. For instance- energy trading and risk management(ETRM) software helps energy companies optimize their trading strategies, allowing them to buy and sell energy more efficiently. By providing real-time data and analytics, it enables companies to make informed decisions, reduce waste, and maximize the use of renewable energy sources. (source:https://havokjournal.com/nation/science-technology/how-etrm-software-is-supporting-the-sustainable-energy-movement/) Hence, energy trading and risk management software is a powerful tool in advancing the sustainable energy movement, This will help energy companies optimize their operations and reduce reliance on fossil fuels.

    Restraint-

    Legacy systems and infrastructure will impede market expansion-
    

    Many industrial processes and critical infrastructure rely on outdated legacy OT systems that lack modern security features. The high replacement costs and perceived prohibitive nature of upgrading these systems contribute to their continue...

  11. F

    Producer Price Index by Commodity: Lumber and Wood Products: Hardwood Cut...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). Producer Price Index by Commodity: Lumber and Wood Products: Hardwood Cut Stock and Dimension [Dataset]. https://fred.stlouisfed.org/series/WPU08120311
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Producer Price Index by Commodity: Lumber and Wood Products: Hardwood Cut Stock and Dimension (WPU08120311) from Jun 1984 to Feb 2025 about floor coverings, stocks, wood, commodities, PPI, inflation, price index, indexes, price, and USA.

  12. InfoTrie Stock Market Sentiment Data - Over 100+ market indices, historical...

    • datarade.ai
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    InfoTrie, InfoTrie Stock Market Sentiment Data - Over 100+ market indices, historical coverage globally [Dataset]. https://datarade.ai/data-products/infotrie-stock-market-sentiment-data-real-time-global-cover-infotrie
    Explore at:
    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    InfoTrie Financial Solutions
    Authors
    InfoTrie
    Area covered
    United Arab Emirates, Slovenia, Wallis and Futuna, Somalia, Croatia, Lithuania, Tokelau, Korea (Democratic People's Republic of), France, Cuba
    Description

    Market sentiment data provides a glimpse into investor perceptions and emotions driving market movements. Understand whether sentiments are bullish, bearish, or neutral, and use these insights to fine-tune your trading decisions.

    1. Explore an extensive database of global market indices.
    2. 100+ market indices worldwide, from major stock markets to niche sectors.
    3. Informed trading & capitalizing on prevailing market trends.
    4. A deeper understanding of market sentiment dynamics.
    5. Leverage a custom API for over 70,000 tickers, including major FX, commodities, topics, and individuals.
    6. Benchmark against real-time market sentiment indicators.
    7. 360° Market Dynamics on comprehensive stock market sentiment data.

    Mold the dataset to match needs and seamlessly integrate it into various workflows. Count on InfoTrie's proven expertise to deliver accurate and custom stock market data for market analysis.

    Utilize sentiment data to amplify strategy, gain a competitive edge, and make confident trading choices. With InfoTrie Stock Market Sentiment Data, you possess the key to unlocking market insights like never before.

    Contact us now.

    More information on : https://infotrie.com/sentiment-analysis/

  13. Stock Market Wti Crude

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Mar 1, 2025
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    IndexBox Inc. (2025). Stock Market Wti Crude [Dataset]. https://www.indexbox.io/search/stock-market-wti-crude/
    Explore at:
    docx, doc, xls, pdf, xlsxAvailable download formats
    Dataset updated
    Mar 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 - Mar 13, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    The stock market for WTI crude oil allows investors to speculate on price movements of oil without owning the commodity. This article explains how WTI crude oil is traded as a commodity on various stock exchanges, the factors influencing its price, and the use of futures contracts in trading. It also discusses different strategies used by investors and the risks associated with trading in the WTI crude oil market.

  14. Delayed Market Data - Barchart

    • datarade.ai
    Updated Dec 16, 2019
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    Barchart (2019). Delayed Market Data - Barchart [Dataset]. https://datarade.ai/data-products/delayed-market-data
    Explore at:
    Dataset updated
    Dec 16, 2019
    Dataset provided by
    Barchart.com, Inc.
    Authors
    Barchart
    Area covered
    Syrian Arab Republic, Spain, Myanmar, Cayman Islands, Kenya, Tajikistan, Northern Mariana Islands, Burkina Faso, Zambia, Holy See
    Description

    Drive your entire business from front to back office with delayed exchange data from Barchart. Our consolidated feeds can power your product, services, with global coverage of commodity prices, stock quotes, and trade executions.

    Asset Classes Include: Equities Futures Cash Commodities Forex & Crypto Index Mutual Funds

  15. Stock Market Sentiment Data: Historical tick-by-tick sentiment data,...

    • datarade.ai
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    InfoTrie, Stock Market Sentiment Data: Historical tick-by-tick sentiment data, real-time updates, and market indices globally [Dataset]. https://datarade.ai/data-products/stock-market-sentiment-data-historical-tick-by-tick-sentimen-infotrie
    Explore at:
    .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    InfoTrie Financial Solutions
    Authors
    InfoTrie
    Area covered
    South Sudan, Qatar, Lesotho, United Republic of, Sao Tome and Principe, Sierra Leone, Brazil, Mongolia, Libya, Monaco
    Description

    Gain data-driven insights for informed investment decisions. Access market sentiment data since 2013 and customize the API for seamless integration. Maximize your stock market understanding with comprehensive analytics on global stock indices, and public and private companies. Analyze sentiment trends and investor behavior with confidence.

    Sample Dataset - Historical News Sentiment data for your reference.

    Key Features:

    1. Tick-by-Tick Sentiment: Access detailed market dynamics with tick-by-tick sentiment data.
    2. Custom API: Request a customizable API covering over 70,000 tickers, including major FX, commodities, topics, and people.
    3. Proven Expertise: Trust our track record since 2013 for historical data on long-term sentiment patterns.
    4. Uncover Hidden Insights: Gauge investor sentiment and reveal market opportunities with the custom API.
    5. Real-Time Benchmarks: Enhance your strategies with real-time sentiment indicators.
    6. Customizable and Flexible Delivery: Tailor the dataset to your requirements and integrate seamlessly into your workflows.

    Gain a competitive edge with InfoTrie's Historical Tick-by-Tick Stock Market Sentiment Data. Request access now to elevate your investment strategies and make data-driven decisions.

    More information on : https://infotrie.com/sentiment-analysis/

  16. m

    Day Trading Software Market Size and Projections

    • marketresearchintellect.com
    Updated Mar 4, 2025
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    Market Research Intellect (2025). Day Trading Software Market Size and Projections [Dataset]. https://www.marketresearchintellect.com/product/global-day-trading-software-market-size-and-forecast/
    Explore at:
    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Market Research Intellect
    License

    https://www.marketresearchintellect.com/privacy-policyhttps://www.marketresearchintellect.com/privacy-policy

    Area covered
    Global
    Description

    The size and share of the market is categorized based on Type (Real-time trading platforms, Technical analysis tools, Algorithmic trading software, Risk management tools, Market data feeds) and Application (Stock trading, Forex trading, Commodity trading, Options trading, Investment analysis) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).

  17. Agricultural Commodity Global Market Report 2025

    • thebusinessresearchcompany.com
    pdf,excel,csv,ppt
    Updated Jan 10, 2025
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    The Business Research Company (2025). Agricultural Commodity Global Market Report 2025 [Dataset]. https://www.thebusinessresearchcompany.com/report/agricultural-commodity-global-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    The Business Research Company
    License

    https://www.thebusinessresearchcompany.com/privacy-policyhttps://www.thebusinessresearchcompany.com/privacy-policy

    Description

    Global Agricultural Commodity Market to hit USD 293.91B by 2029 growing at 5.8% CAGR. Explore trends, drivers, and competition for strategic insights with The Business Research Company.

  18. Real-Time Market Data - Barchart

    • datarade.ai
    Updated Jan 21, 2020
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    Barchart (2020). Real-Time Market Data - Barchart [Dataset]. https://datarade.ai/data-products/real-time-market-data
    Explore at:
    Dataset updated
    Jan 21, 2020
    Dataset provided by
    Barchart.com, Inc.
    Authors
    Barchart
    Area covered
    Svalbard and Jan Mayen, Egypt, Bosnia and Herzegovina, Rwanda, Congo (Democratic Republic of the), Jordan, Poland, Lebanon, Liechtenstein, Slovakia
    Description

    Get to market faster with real-time data feeds available through Barchart. We make it easy to power your software, trading strategies, or risk management system with data you can count on from Barchart.

    Asset Classes Include: Equities Futures Cash Commodities Forex & Crypto Index Mutual Funds

  19. C

    China CN: Stock: Deliverable: Shanghai Futures Exchange: TSR 20

    • ceicdata.com
    Updated Feb 9, 2018
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    CEICdata.com (2018). China CN: Stock: Deliverable: Shanghai Futures Exchange: TSR 20 [Dataset]. https://www.ceicdata.com/en/china/shanghai-futures-exchange-commodity-futures-stock
    Explore at:
    Dataset updated
    Feb 9, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 27, 2024 - Mar 21, 2025
    Area covered
    China
    Variables measured
    Industrial Sales / Turnover
    Description

    CN: Stock: Deliverable: Shanghai Futures Exchange: TSR 20 data was reported at 55,584.000 Ton in 21 Mar 2025. This records a decrease from the previous number of 77,213.000 Ton for 14 Mar 2025. CN: Stock: Deliverable: Shanghai Futures Exchange: TSR 20 data is updated daily, averaging 65,583.500 Ton from Nov 2019 (Median) to 21 Mar 2025, with 264 observations. The data reached an all-time high of 159,868.000 Ton in 19 Jul 2024 and a record low of 0.000 Ton in 22 Nov 2019. CN: Stock: Deliverable: Shanghai Futures Exchange: TSR 20 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: Stock.

  20. C

    China CN: Stock: Deliverable: Shanghai Futures Exchange: Petroleum Bitumen

    • ceicdata.com
    Updated Feb 9, 2018
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    CEICdata.com (2018). China CN: Stock: Deliverable: Shanghai Futures Exchange: Petroleum Bitumen [Dataset]. https://www.ceicdata.com/en/china/shanghai-futures-exchange-commodity-futures-stock
    Explore at:
    Dataset updated
    Feb 9, 2018
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 27, 2024 - Mar 21, 2025
    Area covered
    China
    Variables measured
    Industrial Sales / Turnover
    Description

    CN: Stock: Deliverable: Shanghai Futures Exchange: Petroleum Bitumen data was reported at 55,584.000 Ton in 21 Mar 2025. This records a decrease from the previous number of 62,554.000 Ton for 14 Mar 2025. CN: Stock: Deliverable: Shanghai Futures Exchange: Petroleum Bitumen data is updated daily, averaging 79,855.000 Ton from Dec 2014 (Median) to 21 Mar 2025, with 509 observations. The data reached an all-time high of 235,582.000 Ton in 25 Nov 2016 and a record low of 24,970.000 Ton in 06 Mar 2015. CN: Stock: Deliverable: Shanghai Futures Exchange: Petroleum Bitumen 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: Stock.

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GSCI Commodity Index - Price Data [Dataset]. https://tradingeconomics.com/commodity/gsci

GSCI Commodity Index - Price Data

GSCI Commodity Index - Historical Dataset (1969-12-31/2025-03-27)

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Dataset updated
Jul 15, 2008
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
Dec 31, 1969 - Mar 27, 2025
Area covered
World
Description

GSCI increased 9.31 points or 1.69% since the beginning of 2025, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. GSCI Commodity Index - values, historical data, forecasts and news - updated on March of 2025.

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