39 datasets found
  1. E

    Gold prices, September, 2025 - data, chart | TheGlobalEconomy.com

    • theglobaleconomy.com
    csv, excel, xml
    Updated Sep 15, 2025
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    Globalen LLC (2025). Gold prices, September, 2025 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/world/gold_prices/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Jan 31, 1960 - Sep 30, 2025
    Description

    Gold prices in , September, 2025 For that commodity indicator, we provide data from January 1960 to September 2025. The average value during that period was 610.94 USD per troy ounce with a minimum of 34.94 USD per troy ounce in January 1970 and a maximum of 3667.68 USD per troy ounce in September 2025. | TheGlobalEconomy.com

  2. Gold Price Prediction

    • kaggle.com
    Updated Jun 17, 2024
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    Tehmina Asrar (2024). Gold Price Prediction [Dataset]. https://www.kaggle.com/datasets/tehminaasrar/gold-price-prediction/versions/1
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 17, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Tehmina Asrar
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Description for Kaggle Project

    Title: Gold Price Prediction

    Subtitle: Analysis and Forecasting Using Gold Price Data from Kaggle's goldstock.csv

    Description This project aims to analyze and forecast gold prices using a comprehensive dataset spanning from January 19, 2014, to January 22, 2024. The dataset, sourced from Kaggle, includes daily gold prices with key financial metrics such as opening and closing prices, trading volume, and the highest and lowest prices recorded each trading day. Through this project, we perform time series analysis, develop predictive models, formulate and backtest trading strategies, and conduct market sentiment and statistical analyses.

    Upload an Image - Choose a relevant image such as a graph of gold price trends, a gold bar, or an illustrative image related to financial data analysis.

    Datasets - Source: Kaggle - File: goldstock.csv

    Context, Sources, and Inspiration -Context: Understanding the dynamics of gold prices is crucial for investors and financial analysts. This project provides insights into historical price trends and equips users with tools to predict future prices. - Sources: The dataset is sourced from Kaggle and contains historical gold price data obtained from Nasdaq. Inspiration: The inspiration behind this project is to enable researchers, analysts, and data enthusiasts to make informed decisions, develop trading strategies, and contribute to a broader understanding of market behavior.

  3. p

    US Dollar Market Intelligence

    • permutable.ai
    Updated May 17, 2025
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    Permutable Technologies Limited (2025). US Dollar Market Intelligence [Dataset]. https://permutable.ai/auto-analyst/
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    Dataset updated
    May 17, 2025
    Dataset authored and provided by
    Permutable Technologies Limited
    Description

    Permutable AI’s US Dollar Market Intelligence provides deep, real-time analysis of the world’s most traded currency. Using our Co-Pilot API, we integrate market pricing, macroeconomic data, and geopolitical developments to produce daily analyst-style summaries with attribution of key drivers. Our system captures the causative forces behind dollar movements, such as: Monetary policy and interest rates – Federal Reserve decisions and inflation expectations. Credit and fiscal outlook – debt sustainability, credit rating changes, and fiscal policy. Trade and geopolitical developments – tariff policies, global trade agreements, and geopolitical risk. Investor positioning – shifts in sentiment and capital flows, including safe-haven demand during market stress. With flexible lookback periods and broad macro coverage, Permutable AI ensures traders, funds, and corporates can understand both the short-term fluctuations and the structural forces shaping USD performance.

  4. T

    China Gold Reserves

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 14, 2024
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    TRADING ECONOMICS (2024). China Gold Reserves [Dataset]. https://tradingeconomics.com/china/gold-reserves
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    xml, json, excel, csvAvailable download formats
    Dataset updated
    Mar 14, 2024
    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 31, 2000 - Jun 30, 2025
    Area covered
    China
    Description

    Gold Reserves in China increased to 2298.53 Tonnes in the second quarter of 2025 from 2292.31 Tonnes in the first quarter of 2025. This dataset provides - China Gold Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. US Options Data Packages for Trading, Research, Education & Sentiment

    • datarade.ai
    Updated Dec 6, 2021
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    Intrinio (2021). US Options Data Packages for Trading, Research, Education & Sentiment [Dataset]. https://datarade.ai/data-products/us-options-data-packages-for-trading-research-education-s-intrinio
    Explore at:
    Dataset updated
    Dec 6, 2021
    Dataset authored and provided by
    Intrinio
    Area covered
    United States of America
    Description

    We offer three easy-to-understand packages to fit your business needs. Visit intrinio.com/pricing to compare packages.

    Bronze

    The Bronze package is ideal for developing your idea and prototyping your platform with high-quality EOD options prices sourced from OPRA.

    When you’re ready for launch, it’s a seamless transition to our Silver package for delayed options prices, Greeks and implied volatility, and unusual options activity, plus delayed equity prices.

    • Latest EOD OPRA options prices

    Exchange Fees & Requirements:

    This package requires no paperwork or exchange fees.

    Bronze Benefits:

    • Web API access
    • 300 API calls/minute limit
    • File downloads
    • Unlimited internal users
    • Unlimited internal & external display
    • Built-in ticketing system
    • Live chat & email support

    Silver

    The Silver package is ideal for clients that want delayed options data for their platform, or for startups in the development and testing phase. You’ll get 15-minute delayed options data, Greeks, implied volatility, and unusual options activity, plus the latest EOD options prices and delayed equity prices.

    You can easily move up to the Gold package for real-time options and equity prices, additional access methods, and premium support options.

    • 15-minute delayed OPRA options prices, Greeks & IV
    • 15-minute delayed OPRA unusual options activity
    • Latest EOD OPRA options prices
    • 15-minute delayed equity prices
    • Underlying security reference data

    Exchange Fees & Requirements:

    If you subscribe to the Silver package and will not display the data outside of your firm, you’ll need to fill out a simplified exchange agreement and send it back to us. There are no exchange fees and we can provide immediate access to the data.

    If you subscribe to the Silver package and will display the data outside of your firm, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is not required, so there are no variable per user fees.

    Silver Benefits:

    • Assistance with OPRA paperwork
    • Web API access
    • 2,000 API calls/minute limit
    • File downloads
    • Access to third-party datasets via Intrinio API (additional fees required)
    • Unlimited internal users
    • Unlimited internal & external display
    • Built-in ticketing system
    • Live chat & email support
    • Concierge customer success team
    • Comarketing & promotional initiatives

    Gold

    The Gold package is ideal for funded companies that are in the growth or scaling stage, as well as institutions that are innovating within the fintech space. This full-service solution offers real-time options prices, Greeks and implied volatility, and unusual options activity, as well as the latest EOD options prices and real-time equity prices.

    You’ll also have access to our wide range of modern access methods, third-party data via Intrinio’s API with licensing assistance, support from our team of expert engineers, custom delivery architectures, and much more.

    • Real-time OPRA options prices, Greeks & IV
    • Real-time OPRA unusual options activity
    • Latest EOD OPRA options prices
    • Real-time equity prices
    • Underlying security reference data

    Exchange Fees & Requirements:

    If you subscribe to the Gold package, we’ll work with your team to submit the correct paperwork to OPRA for approval. Once approved, OPRA will bill exchange fees directly to your firm – typically $600-$2000/month depending on your use case. These fees are the same no matter what data provider you use. Per-user reporting is required, with an associated variable per user fee.

    Gold Benefits:

    • Assistance with OPRA paperwork
    • Web API access
    • 2,000 API calls/minute limit
    • WebSocket access (additional fee)
    • Customizable access methods (Snowflake, FTP, etc.)
    • Access to third-party datasets via Intrinio API (additional fees required)
    • Unlimited internal users
    • Unlimited internal & external display
    • Built-in ticketing system
    • Live chat & email support
    • Concierge customer success team
    • Comarketing & promotional initiatives
    • Access to engineering team

    Platinum

    Don’t see a package that fits your needs? Our team can design a premium custom package for your business.

  6. v

    Global import data of Gold Dore

    • volza.com
    csv
    Updated Oct 16, 2025
    + more versions
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    Volza FZ LLC (2025). Global import data of Gold Dore [Dataset]. https://www.volza.com/p/gold-dore/import/import-in-india/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 16, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    50217 Global import shipment records of Gold Dore with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  7. v

    Global export data of Gold Jewellery

    • volza.com
    csv
    Updated Sep 24, 2025
    + more versions
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    Volza FZ LLC (2025). Global export data of Gold Jewellery [Dataset]. https://www.volza.com/p/gold-jewellery/export/export-from-india/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 24, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

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

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    504338 Global export shipment records of Gold Jewellery with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  8. Turnover of commodity derivatives traded in India FY 2023, by type

    • statista.com
    Updated May 13, 2025
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    Statista Research Department (2025). Turnover of commodity derivatives traded in India FY 2023, by type [Dataset]. https://www.statista.com/topics/10542/gold-market-in-india/
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    Dataset updated
    May 13, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    India
    Description

    In 2023, energy was the highest traded commodity on commodity exchanges of India, with a turnover of 104.21 trillion Indian rupees. Bullion was the second most traded commodity on the exchanges. Bullion includes gold or silver traded in the form of bars, coins and ingots.

  9. T

    United States Gold Reserves

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 7, 2024
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    TRADING ECONOMICS (2024). United States Gold Reserves [Dataset]. https://tradingeconomics.com/united-states/gold-reserves
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Mar 7, 2024
    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 31, 2000 - Jun 30, 2025
    Area covered
    United States
    Description

    Gold Reserves in the United States remained unchanged at 8133.46 Tonnes in the second quarter of 2025 from 8133.46 Tonnes in the first quarter of 2025. This dataset provides - United States Gold Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  10. T

    Philippines Gold Reserves

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 14, 2014
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    TRADING ECONOMICS (2014). Philippines Gold Reserves [Dataset]. https://tradingeconomics.com/philippines/gold-reserves
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    May 14, 2014
    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 31, 2000 - Jun 30, 2025
    Area covered
    Philippines
    Description

    Gold Reserves in Philippines increased to 129.70 Tonnes in the second quarter of 2025 from 127.48 Tonnes in the first quarter of 2025. This dataset provides - Philippines Gold Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  11. T

    India Gold Reserves

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, India Gold Reserves [Dataset]. https://tradingeconomics.com/india/gold-reserves
    Explore at:
    xml, json, excel, 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
    Mar 31, 2000 - Jun 30, 2025
    Area covered
    India
    Description

    Gold Reserves in India increased to 880 Tonnes in the second quarter of 2025 from 879.60 Tonnes in the first quarter of 2025. This dataset provides - India Gold Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  12. Gold production volume in India FY 2012-2025

    • statista.com
    Updated May 13, 2025
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    Madhumitha Jaganmohan (2025). Gold production volume in India FY 2012-2025 [Dataset]. https://www.statista.com/topics/10542/gold-market-in-india/
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    Dataset updated
    May 13, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Madhumitha Jaganmohan
    Area covered
    India
    Description

    India's primary gold production is expected to amount to around 1,590 kilograms in the financial year 2024. This is a notable decrease from the country's primary gold production in the financial year 2020, which amounted to 1,742 kilograms. Indian jewelry market: a driver of gold consumption Accounting for nearly one-third of the global gold demand, India’s fascination with jewelry can be dated back to almost five thousand years ago, to the time of the Indus Valley Civilization. Indeed, the jewelry market in India contributes to about seven percent of the country's GDP. The availability of highly skilled labor at low costs makes the region a very favorable market. With the highest saving rates worldwide, at about 30 percent, Indians put their faith in the value of gold, investing about ten percent of their savings into it. Gold imports to India: meeting demand through trade Despite India's sizeable demand for gold, the country is not among the world's leading gold mining countries. India meets much of its gold demand through imports. As of 2021, India's gold imports amounted to 55.8 billion U.S. dollars, and it was the second-largest gold-importing nation based on value that year.

  13. c

    Replication Data for: Bitcoin Gold, Litecoin Silver: An Introduction to...

    • cryptodata.center
    • dataverse.harvard.edu
    • +1more
    Updated Dec 4, 2024
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    (2024). Replication Data for: Bitcoin Gold, Litecoin Silver: An Introduction to Cryptocurrency’s Valuation and Trading Strategy [Dataset]. https://cryptodata.center/dataset/replication-data-for-bitcoin-gold-litecoin-silver-an-introduction-to-cryptocurrency
    Explore at:
    Dataset updated
    Dec 4, 2024
    License

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

    Description

    Historically, gold and silver have played distinct roles in traditional monetary systems. While gold has primarily been revered as a superior store of value, prompting individuals to hoard it, silver has commonly been used as a medium of exchange. As the financial world evolves, the emergence of cryptocurrencies has introduced a new paradigm of value and exchange. However, the store-of-value characteristic of these digital assets remains largely uncharted. Charlie Lee, the founder of Litecoin, once likened Bitcoin to gold and Litecoin to silver. To validate this analogy, our study employs several metrics, including UTXO, STXO, WAL, CoinDaysDestroyed (CDD), and public on-chain transaction data. Furthermore, we've devised trading strategies centered around the Price-to-Utility (PU) ratio, offering a fresh perspective on crypto-asset valuation beyond traditional utilities. Our back-testing results not only display trading indicators for both Bitcoin and Litecoin but also substantiate Lee's metaphor, underscoring Bitcoin's superior store-of-value proposition relative to Litecoin. We anticipate that our findings will drive further exploration into the valuation of crypto assets. For enhanced transparency and to promote future research, we've made our datasets available on Harvard Dataverse and shared our Python code on GitHub as open source.

  14. T

    Russia Gold Reserves

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Russia Gold Reserves [Dataset]. https://tradingeconomics.com/russia/gold-reserves
    Explore at:
    csv, excel, json, xmlAvailable 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
    Mar 31, 2000 - Jun 30, 2025
    Area covered
    Russia
    Description

    Gold Reserves in Russia remained unchanged at 2329.63 Tonnes in the second quarter of 2025 from 2329.63 Tonnes in the first quarter of 2025. This dataset provides - Russia Gold Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. y

    Gold Price in South African Rand (DISCONTINUED)

    • ycharts.com
    html
    Updated Mar 17, 2025
    + more versions
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    Gold Council (2025). Gold Price in South African Rand (DISCONTINUED) [Dataset]. https://ycharts.com/indicators/gold_price_in_south_african_rand
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Mar 17, 2025
    Dataset provided by
    YCharts
    Authors
    Gold Council
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 2, 1979 - Mar 14, 2025
    Area covered
    South Africa
    Variables measured
    Gold Price in South African Rand (DISCONTINUED)
    Description

    View market daily updates and historical trends for Gold Price in South African Rand (DISCONTINUED). Source: Gold Council. Track economic data with YChart…

  16. f

    Solid Evidence and Liquid Gold: Trade-Offs of Processing Settled Solids,...

    • acs.figshare.com
    xlsx
    Updated Jul 29, 2025
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    Sooyeol Kim; Denise Garcia; Caroline McCormack; Rui Xin Tham; Megan E. O’Brien; Erica R. Fuhrmeister; Kara L. Nelson; Rose S. Kantor; Amy J. Pickering (2025). Solid Evidence and Liquid Gold: Trade-Offs of Processing Settled Solids, Whole Influent, or Centrifuged Influent for Codetecting Viral, Bacterial, and Eukaryotic Pathogens in Wastewater [Dataset]. http://doi.org/10.1021/acs.est.5c02869.s002
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jul 29, 2025
    Dataset provided by
    ACS Publications
    Authors
    Sooyeol Kim; Denise Garcia; Caroline McCormack; Rui Xin Tham; Megan E. O’Brien; Erica R. Fuhrmeister; Kara L. Nelson; Rose S. Kantor; Amy J. Pickering
    License

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

    Description

    Effective methods for simultaneously measuring viral, bacterial, protozoan, and fungal pathogens in wastewater are needed. Here, we investigate how the sample type and nucleic acid extraction protocols affect broad-range pathogen detection. We compared methods for analyzing wastewater solids and whole influent by dPCR detection of spiked and endogenous targets including DNA and RNA viruses (mpox, norovirus, SARS-CoV-2), bacteria (Clostridium difficile, Campylobacter jejuni), protozoa (Cryptosporidium spp.), fungi (Candida auris), and antibiotic resistance genes. Using selected methods, we then analyzed date-matched (1) solid, (2) centrifuged influent, and (3) whole influent samples collected from 11 facilities at three time points. We demonstrate that one workflow can be used to simultaneously detect all of the targets. Comparing normalization of targets by concentration of PMMoV, carjivirus, and 16S rRNA, we show that using different controls together can complicate the interpretation of concentrations across targets. We observed similar detection rates and nucleic acid concentrations for the targets examined in this study across all three sample types with slightly higher concentrations in centrifuged influent. These results suggest that centrifuged influent is a viable option and can circumvent the limitation of varying residence times for primary settled solids.

  17. T

    Canada Gold Reserves

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Canada Gold Reserves [Dataset]. https://tradingeconomics.com/canada/gold-reserves
    Explore at:
    xml, csv, excel, jsonAvailable 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
    Mar 31, 2000 - Jun 30, 2025
    Area covered
    Canada
    Description

    Gold Reserves in Canada remained unchanged at 0 Tonnes in the second quarter of 2025 from 0 Tonnes in the first quarter of 2025. This dataset provides - Canada Gold Reserves - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. f

    Hyperparameters for LSTM network.

    • plos.figshare.com
    xls
    Updated Aug 5, 2025
    + more versions
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    Hong Cao; Hao Chen; Yulong Lian; Hong-Kun Zhang (2025). Hyperparameters for LSTM network. [Dataset]. http://doi.org/10.1371/journal.pcsy.0000037.t003
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    xlsAvailable download formats
    Dataset updated
    Aug 5, 2025
    Dataset provided by
    PLOS Complex Systems
    Authors
    Hong Cao; Hao Chen; Yulong Lian; Hong-Kun Zhang
    License

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

    Description

    Forecasting stock returns is a vital and at the same time challenging task in the financial arena, given the market’s susceptibility to abrupt swings. In this paper, we propose a strategy that adapts to different volatility regimes: during periods of high volatility, we employ the copper-gold ratio (CGR) as a leading indicator for the S&P 500 (SPY), while in periods of normal volatility, we introduce a differential long-term memory (DLSTM) neural network. The CGR combines the properties of copper (which reflects industrial and economic activity) and gold, a traditional safe-haven asset. In four major economic events, our analysis reveals that sharp movements in the CGR often precede corresponding changes in the SPY, suggesting the ratio’s potential as an early warning signal. For more stable markets, we introduce the DLSTM, which extends the standard LSTM architecture through a loss function designed to exploit differences between consecutive price steps. This design increases predictive power and achieves 82% directional accuracy on daily SPY forecasts, outperforming both a baseline LSTM and a binary classification approach. Finally, we validate the trading utility of the DLSTM by simulating intraday trading over one- and three-month periods, demonstrating consistent gains that highlight the practical value of the method. By synthesizing CGR analysis and DLSTM modeling, our approach offers a versatile framework to address diverse market environments and provide new insights for both researchers and practitioners.

  19. T

    Cobalt - Price Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 23, 2025
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    TRADING ECONOMICS (2025). Cobalt - Price Data [Dataset]. https://tradingeconomics.com/commodity/cobalt
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Oct 23, 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
    Feb 22, 2010 - Oct 23, 2025
    Area covered
    World
    Description

    Cobalt rose to 48,570 USD/T on October 23, 2025, up 3.10% from the previous day. Over the past month, Cobalt's price has risen 40.58%, and is up 99.88% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Cobalt - values, historical data, forecasts and news - updated on October of 2025.

  20. Copper Prices - Spot Price Per Ounce & Pound, Historical Data, Chart Trends

    • moneymetals.com
    csv, json
    Updated Feb 7, 2025
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    Money Metals (2025). Copper Prices - Spot Price Per Ounce & Pound, Historical Data, Chart Trends [Dataset]. https://www.moneymetals.com/copper-prices
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Feb 7, 2025
    Dataset provided by
    Money Metals Exchange
    Money Metals
    Authors
    Money Metals
    License

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

    Area covered
    Global
    Variables measured
    Copper Price Per Ounce, Copper Price Per Pound, Copper Price Historical Trend
    Description

    About This Dataset: Copper Prices and Market Trends

        This dataset provides **insights into copper prices**, including current rates, historical trends, and key factors affecting price fluctuations. Copper is essential in **construction**, **electronics**, and **transportation** industries. Investors, traders, and analysts use accurate copper price data to guide decisions related to **trading**, **futures**, and **commodity investments**.
    
        ### **Key Features of the Dataset**
    
        #### **Live Market Data and Updates**
        Stay updated with the latest **copper price per pound** in USD. This data is sourced from exchanges like the **London Metal Exchange (LME)** and **COMEX**. Price fluctuations result from **global supply-demand shifts**, currency changes, and geopolitical factors.
    
        #### **Interactive Copper Price Charts**
        Explore **dynamic charts** showcasing real-time and historical price movements. These compare copper with **gold**, **silver**, and **aluminium**, offering insights into **market trends** and inter-metal correlations.
    
        ### **Factors Driving Copper Prices**
    
        #### **1. Supply and Demand Dynamics**
        Global copper supply is driven by mining activities in regions like **Peru**, **China**, and the **United States**. Disruptions in production or policy changes can cause **supply shocks**. On the demand side, **industrial growth** in countries like **India** and **China** sustains demand for copper.
    
        #### **2. Economic and Industry Trends**
        Copper prices often reflect **economic trends**. The push for **renewable energy** and **electric vehicles** has boosted long-term demand. Conversely, economic downturns and **inflation** can reduce demand, lowering prices.
    
        #### **3. Impact of Currency and Trade Policies**
        As a globally traded commodity, copper prices are influenced by **currency fluctuations** and **tariff policies**. A strong **US dollar** typically suppresses copper prices by increasing costs for international buyers. Trade tensions can also disrupt **commodity markets**.
    
        ### **Applications and Benefits**
    
        This dataset supports **commodity investors**, **traders**, and **industry professionals**:
    
        - **Investors** forecast price trends and manage **investment risks**. 
        - **Analysts** perform **market research** using price data to assess **copper futures**. 
        - **Manufacturers** optimize supply chains and **cost forecasts**.
    
        Explore more about copper investments on **Money Metals**:
    
        - [**Buy Copper Products**](https://www.moneymetals.com/buy/copper) 
        - [**95% Copper Pennies (Pre-1983)**](https://www.moneymetals.com/pre-1983-95-percent-copper-pennies/4) 
        - [**Copper Buffalo Rounds**](https://www.moneymetals.com/copper-buffalo-round-1-avdp-oz-999-pure-copper/297)
    
        ### **Copper Price Comparisons with Other Metals**
    
        Copper prices often correlate with those of **industrial** and **precious metals**:
    
        - **Gold** and **silver** are sensitive to **inflation** and currency shifts. 
        - **Iron ore** and **aluminium** reflect changes in **global demand** within construction and manufacturing sectors.
    
        These correlations help traders develop **hedging strategies** and **investment models**.
    
        ### **Data Variables and Availability**
    
        Key metrics include:
    
        - **Copper Price Per Pound:** The current market price in USD. 
        - **Copper Futures Price:** Data from **COMEX** futures contracts. 
        - **Historical Price Trends:** Long-term movements, updated regularly. 
    
        Data is available in **CSV** and **JSON** formats, enabling integration with analytical tools and platforms.
    
        ### **Conclusion**
    
        Copper price data is crucial for **monitoring global commodity markets**. From **mining** to **investment strategies**, copper impacts industries worldwide. Reliable data supports **risk management**, **planning**, and **economic forecasting**.
    
        For more tools and data, visit the **Money Metals** [Copper Prices Page](https://www.moneymetals.com/copper-prices).
    
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Globalen LLC (2025). Gold prices, September, 2025 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/world/gold_prices/

Gold prices, September, 2025 - data, chart | TheGlobalEconomy.com

Explore at:
csv, excel, xmlAvailable download formats
Dataset updated
Sep 15, 2025
Dataset authored and provided by
Globalen LLC
License

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

Time period covered
Jan 31, 1960 - Sep 30, 2025
Description

Gold prices in , September, 2025 For that commodity indicator, we provide data from January 1960 to September 2025. The average value during that period was 610.94 USD per troy ounce with a minimum of 34.94 USD per troy ounce in January 1970 and a maximum of 3667.68 USD per troy ounce in September 2025. | TheGlobalEconomy.com

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