78 datasets found
  1. d

    Economic Calendar API - 350+ Indicators

    • datarade.ai
    .json
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    Financial Modeling Prep, Economic Calendar API - 350+ Indicators [Dataset]. https://datarade.ai/data-products/economic-calendar-api-350-indicators-financial-modeling-prep
    Explore at:
    .jsonAvailable download formats
    Dataset authored and provided by
    Financial Modeling Prep
    Area covered
    Brazil, Austria, Norway, Belgium, Denmark, Italy, Spain, Ireland, Canada, Greece
    Description

    Introducing our comprehensive economic calendar, your ultimate resource for tracking major global economic events and their impact on currency and stock market prices. With a vast array of fields including event name, country, previous and current values, and more, our calendar provides you with essential data to make informed financial decisions. Stay ahead of the curve with our real-time updates, ensuring you have access to the latest information every 15 minutes. With this powerful tool at your fingertips, you can confidently navigate the dynamic world of economic events and seize opportunities for success. Don't miss out on this essential resource for staying informed and making calculated moves in the market.

  2. U.S. Economic Confidence Index (Weekly)

    • news.gallup.com
    Updated Oct 16, 2024
    + more versions
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    Gallup (2024). U.S. Economic Confidence Index (Weekly) [Dataset]. https://news.gallup.com/poll/125735/economic-confidence-index.aspx
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    Dataset updated
    Oct 16, 2024
    Dataset provided by
    Gallup, Inc.http://gallup.com/
    Area covered
    United States
    Description

    Gallup's Economic Confidence Index is based on the combined responses to two questions, the first asking Americans to rate economic conditions in this country today, and second, whether they think economic conditions in the country as a whole are getting better or getting worse. Results are based on telephone interviews with approximately 3,500 national adults; margin of error is ±2 percentage points.

  3. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Jul 11, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

  4. C

    China CN: Foreign Exchange Turnover: RMB/FX Forward: 1 Week

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). China CN: Foreign Exchange Turnover: RMB/FX Forward: 1 Week [Dataset]. https://www.ceicdata.com/en/china/china-foreign-exchange-trading-center-cfetc-foreign-exchange-trading/cn-foreign-exchange-turnover-rmbfx-forward-1-week
    Explore at:
    Dataset updated
    Feb 15, 2025
    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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    China
    Variables measured
    Turnover
    Description

    China Foreign Exchange Turnover: RMB/FX Forward: 1 Week data was reported at 3,680.190 RMB mn in Apr 2025. This records a decrease from the previous number of 11,821.740 RMB mn for Mar 2025. China Foreign Exchange Turnover: RMB/FX Forward: 1 Week data is updated monthly, averaging 2,549.425 RMB mn from Jan 2017 (Median) to Apr 2025, with 100 observations. The data reached an all-time high of 20,969.640 RMB mn in Jul 2017 and a record low of 243.490 RMB mn in Jan 2023. China Foreign Exchange Turnover: RMB/FX Forward: 1 Week data remains active status in CEIC and is reported by China Foreign Exchange Trading Center. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MD: China Foreign Exchange Trading Center (CFETC): Foreign Exchange Trading.

  5. C

    China CN: Foreign Exchange Turnover: RMB/FX Forward: USD/RMB: 1 Week

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). China CN: Foreign Exchange Turnover: RMB/FX Forward: USD/RMB: 1 Week [Dataset]. https://www.ceicdata.com/en/china/china-foreign-exchange-trading-center-cfetc-foreign-exchange-trading/cn-foreign-exchange-turnover-rmbfx-forward-usdrmb-1-week
    Explore at:
    Dataset updated
    Feb 15, 2025
    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
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    China
    Variables measured
    Turnover
    Description

    China Foreign Exchange Turnover: RMB/FX Forward: USD/RMB: 1 Week data was reported at 3,669.530 RMB mn in Apr 2025. This records a decrease from the previous number of 11,673.300 RMB mn for Mar 2025. China Foreign Exchange Turnover: RMB/FX Forward: USD/RMB: 1 Week data is updated monthly, averaging 2,454.420 RMB mn from Jan 2017 (Median) to Apr 2025, with 100 observations. The data reached an all-time high of 20,969.640 RMB mn in Jul 2017 and a record low of 243.490 RMB mn in Jan 2023. China Foreign Exchange Turnover: RMB/FX Forward: USD/RMB: 1 Week data remains active status in CEIC and is reported by China Foreign Exchange Trading Center. The data is categorized under China Premium Database’s Money Market, Interest Rate, Yield and Exchange Rate – Table CN.MD: China Foreign Exchange Trading Center (CFETC): Foreign Exchange Trading.

  6. T

    United States Initial Jobless Claims

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). United States Initial Jobless Claims [Dataset]. https://tradingeconomics.com/united-states/jobless-claims
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 7, 1967 - Jul 5, 2025
    Area covered
    United States
    Description

    Initial Jobless Claims in the United States decreased to 227 thousand in the week ending July 5 of 2025 from 232 thousand in the previous week. This dataset provides the latest reported value for - United States Initial Jobless Claims - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  7. Pakistan Forward Rate: Khadim Ali Shah Bukhari: 1 Week

    • ceicdata.com
    + more versions
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    CEICdata.com, Pakistan Forward Rate: Khadim Ali Shah Bukhari: 1 Week [Dataset]. https://www.ceicdata.com/en/pakistan/forward-rate/forward-rate-khadim-ali-shah-bukhari-1-week
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Jul 1, 2017 - Jun 1, 2018
    Area covered
    Pakistan
    Variables measured
    Money Market Rate
    Description

    Pakistan Forward Rate: Khadim Ali Shah Bukhari: 1 Week data was reported at 132.495 PKR/USD in Oct 2018. This records an increase from the previous number of 124.287 PKR/USD for Sep 2018. Pakistan Forward Rate: Khadim Ali Shah Bukhari: 1 Week data is updated monthly, averaging 76.540 PKR/USD from May 1998 (Median) to Oct 2018, with 245 observations. The data reached an all-time high of 132.495 PKR/USD in Oct 2018 and a record low of 44.290 PKR/USD in May 1998. Pakistan Forward Rate: Khadim Ali Shah Bukhari: 1 Week data remains active status in CEIC and is reported by Business Recorder. The data is categorized under Global Database’s Pakistan – Table PK.M009: Forward Rate.

  8. T

    Hong Kong Stock Market Index (HK50) Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Hong Kong Stock Market Index (HK50) Data [Dataset]. https://tradingeconomics.com/hong-kong/stock-market
    Explore at:
    excel, csv, xml, 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
    Jul 31, 1964 - Jul 14, 2025
    Area covered
    Hong Kong
    Description

    Hong Kong's main stock market index, the HK50, rose to 24219 points on July 14, 2025, gaining 0.33% from the previous session. Over the past month, the index has climbed 0.66% and is up 34.43% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on July of 2025.

  9. T

    United States Consumer Inflation Expectations

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 9, 2025
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    United States Consumer Inflation Expectations [Dataset]. https://tradingeconomics.com/united-states/inflation-expectations
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jun 9, 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
    Jun 30, 2013 - Jun 30, 2025
    Area covered
    United States
    Description

    Inflation Expectations in the United States decreased to 3 percent in June from 3.20 percent in May of 2025. This dataset provides - United States Consumer Inflation Expectations- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  10. J

    Nowcasting tail risk to economic activity at a weekly frequency (replication...

    • jda-test.zbw.eu
    txt, zip
    Updated Dec 6, 2022
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    Andrea Carriero; Todd E. Clark; Massimiliano Marcellino; Andrea Carriero; Todd E. Clark; Massimiliano Marcellino (2022). Nowcasting tail risk to economic activity at a weekly frequency (replication data) [Dataset]. https://jda-test.zbw.eu/dataset/activity/nowcasting-tail-risk-to-economic-activity-at-a-weekly-frequency
    Explore at:
    txt(14885), zip(78070340)Available download formats
    Dataset updated
    Dec 6, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Andrea Carriero; Todd E. Clark; Massimiliano Marcellino; Andrea Carriero; Todd E. Clark; Massimiliano Marcellino
    License

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

    Description

    This paper focuses on nowcasts of tail risk to GDP growth, with a potentially wide array of monthly and weekly information used to produce nowcasts on a weekly basis. We consider Bayesian mixed frequency regressions with stochastic volatility and Bayesian quantile regressions. Our results show that, within some limits, more information helps the accuracy of nowcasts of tail risk to GDP growth. Accuracy typically improves as time moves forward within a quarter, making additional data available, with monthly data more important to accuracy than weekly data. Accuracy also typically improves with the use of financial indicators in addition to a base set of macroeconomic indicators.

  11. T

    United States Unemployment Rate

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 3, 2025
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    TRADING ECONOMICS (2025). United States Unemployment Rate [Dataset]. https://tradingeconomics.com/united-states/unemployment-rate
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 31, 1948 - Jun 30, 2025
    Area covered
    United States
    Description

    Unemployment Rate in the United States decreased to 4.10 percent in June from 4.20 percent in May of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  12. F

    St. Louis Fed Financial Stress Index

    • fred.stlouisfed.org
    json
    Updated Jul 10, 2025
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    (2025). St. Louis Fed Financial Stress Index [Dataset]. https://fred.stlouisfed.org/series/STLFSI4
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 10, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for St. Louis Fed Financial Stress Index (STLFSI4) from 1993-12-31 to 2025-07-04 about FSI and USA.

  13. T

    Crude Oil - Price Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 11, 2025
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    TRADING ECONOMICS (2025). Crude Oil - Price Data [Dataset]. https://tradingeconomics.com/commodity/crude-oil
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 30, 1983 - Jul 11, 2025
    Area covered
    World
    Description

    Crude Oil rose to 68.75 USD/Bbl on July 11, 2025, up 3.27% from the previous day. Over the past month, Crude Oil's price has risen 1.04%, but it is still 16.37% lower than a year ago, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Crude Oil - values, historical data, forecasts and news - updated on July of 2025.

  14. F

    CBOE Volatility Index: VIX

    • fred.stlouisfed.org
    json
    Updated Jul 11, 2025
    + more versions
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    (2025). CBOE Volatility Index: VIX [Dataset]. https://fred.stlouisfed.org/series/VIXCLS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for CBOE Volatility Index: VIX (VIXCLS) from 1990-01-02 to 2025-07-10 about VIX, volatility, stock market, and USA.

  15. T

    United States Balance of Trade

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 11, 2025
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    TRADING ECONOMICS (2025). United States Balance of Trade [Dataset]. https://tradingeconomics.com/united-states/balance-of-trade
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jul 11, 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 31, 1950 - May 31, 2025
    Area covered
    United States
    Description

    The United States recorded a trade deficit of 71.52 USD Billion in May of 2025. This dataset provides the latest reported value for - United States Balance of Trade - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  16. T

    United States Dollar Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 15, 2025
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    TRADING ECONOMICS (2025). United States Dollar Data [Dataset]. https://tradingeconomics.com/united-states/currency
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jun 15, 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 4, 1971 - Jul 14, 2025
    Area covered
    United States
    Description

    The DXY exchange rate rose to 97.9584 on July 14, 2025, up 0.11% from the previous session. Over the past month, the United States Dollar has weakened 0.32%, and is down by 6.03% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on July of 2025.

  17. T

    Gold - Price Data

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 11, 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
    Jul 11, 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 - Jul 11, 2025
    Area covered
    World
    Description

    Gold rose to 3,354.76 USD/t.oz on July 11, 2025, up 0.92% from the previous day. Over the past month, Gold's price has fallen 0.92%, but it is still 39.14% higher than a year ago, 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 July of 2025.

  18. Financial Performance of Companies from S&P500

    • kaggle.com
    Updated Mar 9, 2023
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    Right Goose (2023). Financial Performance of Companies from S&P500 [Dataset]. https://www.kaggle.com/datasets/ilyaryabov/financial-performance-of-companies-from-sp500/versions/3
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 9, 2023
    Dataset provided by
    Kaggle
    Authors
    Right Goose
    License

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

    Description

    Content

    Company: Ticker Major index membership: Index Market capitalization: Market Cap Income (ttm): Income Revenue (ttm): Sales Book value per share (mrq): Book/sh Cash per share (mrq): Cash/sh Dividend (annual): Dividend Dividend yield (annual): Dividend % Full time employees: Employees Stock has options trading on a market exchange: Optionable Stock available to sell short: Shortable Analysts' mean recommendation (1=Buy 5=Sell): Recom Price-to-Earnings (ttm): P/E Forward Price-to-Earnings (next fiscal year): Forward P/E Price-to-Earnings-to-Growth: PEG Price-to-Sales (ttm): P/S Price-to-Book (mrq): P/B Price to cash per share (mrq): P/C Price to Free Cash Flow (ttm): P/FCF Quick Ratio (mrq): Quick Ratio Current Ratio (mrq): Current Ratio Total Debt to Equity (mrq): Debt/Eq Long Term Debt to Equity (mrq): LT Debt/Eq Distance from 20-Day Simple Moving Average: SMA20 Diluted EPS (ttm): EPS (ttm) EPS estimate for next year: EPS next Y EPS estimate for next quarter: EPS next Q EPS growth this year: EPS this Y EPS growth next year: EPS next Y Long term annual growth estimate (5 years): EPS next 5Y Annual EPS growth past 5 years: EPS past 5Y Annual sales growth past 5 years: Sales past 5Y Quarterly revenue growth (yoy): Sales Q/Q Quarterly earnings growth (yoy): EPS Q/Q Earnings date

    BMO = Before Market Open
    AMC = After Market Close
    : Earnings Distance from 50-Day Simple Moving Average: SMA50 Insider ownership: Insider Own Insider transactions (6-Month change in Insider Ownership): Insider Trans Institutional ownership: Inst Own Institutional transactions (3-Month change in Institutional Ownership): Inst Trans Return on Assets (ttm): ROA Return on Equity (ttm): ROE Return on Investment (ttm): ROI Gross Margin (ttm): Gross Margin Operating Margin (ttm): Oper. Margin Net Profit Margin (ttm): Profit Margin Dividend Payout Ratio (ttm): Payout Distance from 200-Day Simple Moving Average: SMA200 Shares outstanding: Shs Outstand Shares float: Shs Float Short interest share: Short Float Short interest ratio: Short Ratio Analysts' mean target price: Target Price 52-Week trading range: 52W Range Distance from 52-Week High: 52W High Distance from 52-Week Low: 52W Low Relative Strength Index: RSI (14) Relative volume: Rel Volume Average volume (3 month): Avg Volume Volume: Volume Performance (Week): Perf Week Performance (Month): Perf Month Performance (Quarter): Perf Quarter Performance (Half Year): Perf Half Y Performance (Year): Perf Year Performance (Year To Date): Perf YTD Beta: Beta Average True Range (14): ATR Volatility (Week, Month): Volatility Previous close: Prev Close Current stock price: Price Performance (today): Change

  19. Planned financial products purchases of Muslims worldwide before Ramadan...

    • statista.com
    Updated Dec 19, 2023
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    Statista (2023). Planned financial products purchases of Muslims worldwide before Ramadan 2019 [Dataset]. https://www.statista.com/statistics/1112146/worldwide-planned-pre-ramadan-insurance-and-financial-products-purchase/
    Explore at:
    Dataset updated
    Dec 19, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2019 - Jun 2019
    Area covered
    Saudi Arabia, Egypt, MENA, Nigeria, Turkey, Pakistan, Indonesia, United Kingdom, United Arab Emirates
    Description

    A share of 32 percent of respondents of Muslims worldwide planned to purchase insurance and financial products one to two weeks ahead of Ramadan 2019. During the Islamic holy month of Ramadan, observing Muslims worldwide abstain from eating, drinking, smoking and sexual activities from sunrise to sunset.

  20. T

    France Stock Market Index (FR40) Data

    • tradingeconomics.com
    • pl.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, France Stock Market Index (FR40) Data [Dataset]. https://tradingeconomics.com/france/stock-market
    Explore at:
    json, xml, csv, excelAvailable 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
    Jul 9, 1987 - Jul 11, 2025
    Area covered
    France
    Description

    France's main stock market index, the FR40, fell to 7829 points on July 11, 2025, losing 0.92% from the previous session. Over the past month, the index has climbed 0.83% and is up 1.36% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on July of 2025.

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Financial Modeling Prep, Economic Calendar API - 350+ Indicators [Dataset]. https://datarade.ai/data-products/economic-calendar-api-350-indicators-financial-modeling-prep

Economic Calendar API - 350+ Indicators

Explore at:
.jsonAvailable download formats
Dataset authored and provided by
Financial Modeling Prep
Area covered
Brazil, Austria, Norway, Belgium, Denmark, Italy, Spain, Ireland, Canada, Greece
Description

Introducing our comprehensive economic calendar, your ultimate resource for tracking major global economic events and their impact on currency and stock market prices. With a vast array of fields including event name, country, previous and current values, and more, our calendar provides you with essential data to make informed financial decisions. Stay ahead of the curve with our real-time updates, ensuring you have access to the latest information every 15 minutes. With this powerful tool at your fingertips, you can confidently navigate the dynamic world of economic events and seize opportunities for success. Don't miss out on this essential resource for staying informed and making calculated moves in the market.

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