100+ datasets found
  1. T

    Platinum - Price Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 14, 2025
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    TRADING ECONOMICS (2025). Platinum - Price Data [Dataset]. https://tradingeconomics.com/commodity/platinum
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jul 14, 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 1, 1968 - Jul 14, 2025
    Area covered
    World
    Description

    Platinum fell to 1,398.10 USD/t.oz on July 14, 2025, down 3.88% from the previous day. Over the past month, Platinum's price has risen 13.46%, and is up 40.15% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Platinum - values, historical data, forecasts and news - updated on July of 2025.

  2. T

    Platinum Asset Management | PTM - Stock Price | Live Quote | Historical...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 3, 2017
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    TRADING ECONOMICS (2017). Platinum Asset Management | PTM - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/ptm:au
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jun 3, 2017
    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, 2000 - Jul 15, 2025
    Area covered
    Australia
    Description

    Platinum Asset Management stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  3. Platinum Price Stock Market

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
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    IndexBox Inc. (2025). Platinum Price Stock Market [Dataset]. https://www.indexbox.io/search/platinum-price-stock-market/
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    docx, xls, pdf, doc, xlsxAvailable download formats
    Dataset updated
    Jul 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 - Jul 15, 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 various factors such as supply and demand dynamics, geopolitical situations, and industrial applications impact platinum prices in the stock market. Understand the role of automotive industry demand, geopolitical risks, economic conditions, and currency fluctuations on platinum's price volatility.

  4. T

    Anglo American Platinum | AMS - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 26, 2017
    + more versions
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    TRADING ECONOMICS (2017). Anglo American Platinum | AMS - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/ams:sj
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    May 26, 2017
    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, 2000 - Jul 17, 2025
    Area covered
    South Africa
    Description

    Anglo American Platinum stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  5. Share price development of the biggest platinum and palladium miners...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Share price development of the biggest platinum and palladium miners 2018-2021 [Dataset]. https://www.statista.com/statistics/1239323/leading-platinum-palladium-miners-share-price-development/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - May 2021
    Area covered
    Worldwide
    Description

    All of the five largest publicly owned produces of platinum have seen significant growth in their share price over recent years, with each company's share price at least doubling between January 2018 and May 2021. The highest gains were seen by South African mining company Impala Platinum, whose share price increased by nearly *** percent over this time. Most leading platinum miners saw their share price increase by between *** and *** percent.

  6. T

    Impala Platinum | IMP - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Sep 19, 2016
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    TRADING ECONOMICS (2016). Impala Platinum | IMP - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/imp:sj
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Sep 19, 2016
    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, 2000 - Jul 15, 2025
    Area covered
    South Africa
    Description

    Impala Platinum stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  7. Live Platinum Spot Price Chart | BullionVault

    • bullionvault.com
    • bullionvault.co.uk
    csv
    Updated Jul 11, 2025
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    BullionVault (2025). Live Platinum Spot Price Chart | BullionVault [Dataset]. https://www.bullionvault.com/platinum-price-chart.do
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset provided by
    BullionVault
    BullionVault
    Authors
    BullionVault
    License

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

    Time period covered
    Jun 26, 2005 - Jul 11, 2025
    Area covered
    World
    Description

    Stay informed with real-time charts of international precious metal prices. Monitor spot prices for Platinum in USD, GBP, and EUR. Access live updates here >>

  8. M

    Platinum Prices - Interactive Historical Chart

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Platinum Prices - Interactive Historical Chart [Dataset]. https://www.macrotrends.net/2540/platinum-prices-historical-chart-data
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    1915 - 2025
    Area covered
    United States
    Description

    Interactive chart of historical daily platinum prices back to 1985. The price shown is in U.S. Dollars per troy ounce.

  9. T

    Northam Platinum | NHM - Stock Price | Live Quote | Historical Chart

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 15, 2017
    + more versions
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    TRADING ECONOMICS (2017). Northam Platinum | NHM - Stock Price | Live Quote | Historical Chart [Dataset]. https://tradingeconomics.com/nhm:sj
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Jun 15, 2017
    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, 2000 - Jul 13, 2025
    Area covered
    South Africa
    Description

    Northam Platinum stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

  10. i

    United Kingdom's Platinum Market Report 2025 - Prices, Size, Forecast, and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jun 1, 2025
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    IndexBox Inc. (2025). United Kingdom's Platinum Market Report 2025 - Prices, Size, Forecast, and Companies [Dataset]. https://www.indexbox.io/store/-united-kingdom-platinum-market-report-analysis-and-forecast-to-2020/
    Explore at:
    xls, xlsx, doc, docx, pdfAvailable download formats
    Dataset updated
    Jun 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 - Jun 25, 2025
    Area covered
    United Kingdom
    Variables measured
    Demand, Supply, Price CIF, Price FOB, Market size, Export price, Export value, Import price, Import value, Export volume, and 8 more
    Description

    In 2024, the UK platinum market increased by 3.1% to $28.2B, rising for the third consecutive year after three years of decline. Overall, consumption, however, continues to indicate a noticeable curtailment. Over the period under review, the market reached the peak level at $41.1B in 2012; however, from 2013 to 2024, consumption stood at a somewhat lower figure.

  11. M

    Platinum Group Metals PE Ratio 2010-2025 | PLG

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). Platinum Group Metals PE Ratio 2010-2025 | PLG [Dataset]. https://www.macrotrends.net/stocks/charts/PLG/platinum-group-metals/pe-ratio
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    2010 - 2025
    Area covered
    United States
    Description

    Platinum Group Metals PE ratio as of June 26, 2025 is 0.00. Current and historical p/e ratio for Platinum Group Metals (PLG) from 2010 to 2025. The price to earnings ratio is calculated by taking the latest closing price and dividing it by the most recent earnings per share (EPS) number. The PE ratio is a simple way to assess whether a stock is over or under valued and is the most widely used valuation measure. Please refer to the Stock Price Adjustment Guide for more information on our historical prices.

  12. k

    PTM PLATINUM ASSET MANAGEMENT LIMITED (Forecast)

    • kappasignal.com
    Updated Jan 25, 2023
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    KappaSignal (2023). PTM PLATINUM ASSET MANAGEMENT LIMITED (Forecast) [Dataset]. https://www.kappasignal.com/2023/01/ptm-platinum-asset-management-limited_25.html
    Explore at:
    Dataset updated
    Jan 25, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    PTM PLATINUM ASSET MANAGEMENT LIMITED

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  13. PMC PLATINUM CAPITAL LIMITED (Forecast)

    • kappasignal.com
    Updated Apr 5, 2023
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    KappaSignal (2023). PMC PLATINUM CAPITAL LIMITED (Forecast) [Dataset]. https://www.kappasignal.com/2023/04/pmc-platinum-capital-limited.html
    Explore at:
    Dataset updated
    Apr 5, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    PMC PLATINUM CAPITAL LIMITED

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  14. PAI PLATINUM ASIA INVESTMENTS LIMITED (Forecast)

    • kappasignal.com
    Updated Apr 5, 2023
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    KappaSignal (2023). PAI PLATINUM ASIA INVESTMENTS LIMITED (Forecast) [Dataset]. https://www.kappasignal.com/2023/04/pai-platinum-asia-investments-limited.html
    Explore at:
    Dataset updated
    Apr 5, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    PAI PLATINUM ASIA INVESTMENTS LIMITED

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  15. Sylvania Platinum: (SLP) Shining Bright or Dimming Out? (Forecast)

    • kappasignal.com
    Updated Jul 14, 2024
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    KappaSignal (2024). Sylvania Platinum: (SLP) Shining Bright or Dimming Out? (Forecast) [Dataset]. https://www.kappasignal.com/2024/07/sylvania-platinum-slp-shining-bright-or.html
    Explore at:
    Dataset updated
    Jul 14, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Sylvania Platinum: (SLP) Shining Bright or Dimming Out?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  16. Which Country Imports the Most Platinum in the World? - News and Statistics...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
    + more versions
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    IndexBox Inc. (2025). Which Country Imports the Most Platinum in the World? - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/which-country-imports-the-most-platinum-in-the-world/
    Explore at:
    doc, xlsx, pdf, xls, docxAvailable download formats
    Dataset updated
    Jul 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 - Jul 1, 2025
    Area covered
    World, World
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    In 2016, approx. 11K tons of platinum were imported worldwide- jumping by 75% against the previous year figure. Overall, it indicated a notable increase from 2007 to 2016: the total imports volume i...

  17. i

    Ethiopia's Platinum Market Report 2025 - Prices, Size, Forecast, and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Jul 1, 2025
    Share
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    IndexBox Inc. (2025). Ethiopia's Platinum Market Report 2025 - Prices, Size, Forecast, and Companies [Dataset]. https://www.indexbox.io/store/ethiopia-platinum-market-analysis-forecast-size-trends-and-insights/
    Explore at:
    docx, xls, pdf, xlsx, docAvailable download formats
    Dataset updated
    Jul 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 - Jul 15, 2025
    Area covered
    Ethiopia
    Variables measured
    Demand, Supply, Price CIF, Price FOB, Market size, Export price, Export value, Import price, Import value, Export volume, and 8 more
    Description

    In 2024, the Ethiopian platinum market increased by 32% to $30M, rising for the second year in a row after two years of decline. Overall, consumption continues to indicate a relatively flat trend pattern. Platinum consumption peaked at $144M in 2017; however, from 2018 to 2024, consumption remained at a lower figure.

  18. k

    PLG Platinum Group Metals Ltd. Ordinary Shares (Canada) (Forecast)

    • kappasignal.com
    Updated Jan 13, 2023
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    KappaSignal (2023). PLG Platinum Group Metals Ltd. Ordinary Shares (Canada) (Forecast) [Dataset]. https://www.kappasignal.com/2023/01/plg-platinum-group-metals-ltd-ordinary.html
    Explore at:
    Dataset updated
    Jan 13, 2023
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Area covered
    Canada
    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    PLG Platinum Group Metals Ltd. Ordinary Shares (Canada)

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  19. k

    (SLP) Sylvania Platinum: A Shiny Future? (Forecast)

    • kappasignal.com
    Updated Aug 28, 2024
    Share
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    KappaSignal (2024). (SLP) Sylvania Platinum: A Shiny Future? (Forecast) [Dataset]. https://www.kappasignal.com/2024/08/slp-sylvania-platinum-shiny-future.html
    Explore at:
    Dataset updated
    Aug 28, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    (SLP) Sylvania Platinum: A Shiny Future?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  20. T

    Impala Platinum | IMP - Market Capitalization

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Nov 29, 2016
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    TRADING ECONOMICS (2016). Impala Platinum | IMP - Market Capitalization [Dataset]. https://tradingeconomics.com/imp:sj:market-capitalization
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Nov 29, 2016
    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, 2000 - Jul 16, 2025
    Area covered
    South Africa
    Description

    Impala Platinum reported ZAR156.41B in Market Capitalization this July of 2025, considering the latest stock price and the number of outstanding shares.Data for Impala Platinum | IMP - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
TRADING ECONOMICS (2025). Platinum - Price Data [Dataset]. https://tradingeconomics.com/commodity/platinum

Platinum - Price Data

Platinum - Historical Dataset (1968-03-01/2025-07-14)

Explore at:
16 scholarly articles cite this dataset (View in Google Scholar)
xml, json, csv, excelAvailable download formats
Dataset updated
Jul 14, 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 1, 1968 - Jul 14, 2025
Area covered
World
Description

Platinum fell to 1,398.10 USD/t.oz on July 14, 2025, down 3.88% from the previous day. Over the past month, Platinum's price has risen 13.46%, and is up 40.15% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Platinum - values, historical data, forecasts and news - updated on July of 2025.

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