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.

Graph and download economic data for Financial Market: Share Prices for France (SPASTT01FRM661N) from Jan 1955 to May 2025 about France and stock market.

Prices for France Stock Market Index (FR40) including live quotes, historical charts and news. France Stock Market Index (FR40) was last updated by Trading Economics this July 13 of 2025.

Graph and download economic data for Share Prices: All Shares/Broad: Total for France (SPASTT01FRM657N) from Feb 1955 to May 2025 about France and stock market.

Air France-KLM, one of the largest airliners in Europe, saw its stock prices decrease significantly in early March 2020, falling by over ** percent between February and March, 2020. This was due to an unexpected decrease in oil prices, as announced by Saudi Arabia over a dispute with Russia. Indirectly, this dispute was caused by the outbreak of the coronavirus as this lead to lower consumer demand for fuel (for example, due to a lower inclination to travel by plane). As of January 10, 2023 the Air France-KLM stock price was sitting at **** euros, less than half of the value seen in early 2020.

Stock price volatility in France was reported at 24.62 in 2021, according to the World Bank collection of development indicators, compiled from officially recognized sources. France - Stock price volatility - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Graph and download economic data for Share Prices: All Shares/Broad: Total for France (SPASTT01FRQ657N) from Q2 1955 to Q1 2025 about France and stock market.

End-of-day prices refer to the closing prices of various financial instruments, such as equities (stocks), bonds, and indices, at the end of a trading session on a particular trading day. These prices are crucial pieces of market data used by investors, traders, and financial institutions to track the performance and value of these assets over time. The Techsalerator closing prices dataset is considered the most up-to-date, standardized valuation of a security trading commences again on the next trading day. This data is used for portfolio valuation, index calculation, technical analysis and benchmarking throughout the financial industry. The End-of-Day Pricing service covers equities, equity derivative bonds, and indices listed on 170 markets worldwide.

Air France-KLM stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Graph and download economic data for Financial Market: Share Prices for France (SPASTT01FRQ661N) from Q1 1955 to Q1 2025 about France and stock market.

France FR: Stocks Traded: Total Value data was reported at 1,168.618 USD bn in 2014. This records an increase from the previous number of 1,105.517 USD bn for 2013. France FR: Stocks Traded: Total Value data is updated yearly, averaging 208.393 USD bn from Dec 1975 (Median) to 2014, with 40 observations. The data reached an all-time high of 2,895.762 USD bn in 2007 and a record low of 3.488 USD bn in 1977. France FR: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s France – Table FR.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Prices for France 20Y including live quotes, historical charts and news. France 20Y was last updated by Trading Economics this July 13 of 2025.

Prices for France 52W including live quotes, historical charts and news. France 52W was last updated by Trading Economics this July 13 of 2025.

📈 Daily Historical Stock Price Data for Air France-KLM SA (2000–2025)

A clean, ready-to-use dataset containing daily stock prices for Air France-KLM SA from 2000-01-03 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Air France-KLM SA Ticker Symbol: AF.PA Date Range: 2000-01-03 to 2025-05-28 Frequency: Daily Total Records: 6528 rows (one per trading day)… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-air-france-klm-sa-20002025.

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.

[Video] CAC 40: A barometer of French economic health?

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

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.

AXA Lights Up the French Film Industry

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

Prices for France 3M including live quotes, historical charts and news. France 3M was last updated by Trading Economics this June 23 of 2025.

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.

CSTM Constellium SE Ordinary Shares (France)

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

📈 Daily Historical Stock Price Data for Caisse Régionale de Crédit Agricole Mutuel Nord de France Société coopérative (2002–2025)

A clean, ready-to-use dataset containing daily stock prices for Caisse Régionale de Crédit Agricole Mutuel Nord de France Société coopérative from 2002-07-17 to 2025-05-28. This dataset is ideal for use in financial analysis, algorithmic trading, machine learning, and academic research.

  🗂️ Dataset Overview

Company: Caisse Régionale de… See the full description on the dataset page: https://huggingface.co/datasets/khaledxbenali/daily-historical-stock-price-data-for-caisse-rgionale-de-crdit-agricole-mutuel-nord-de-france-so.

France PP: Agri: GS: Seeds & Planting Stock data was reported at 105.600 2010=100 in Dec 2017. This records a decrease from the previous number of 105.900 2010=100 for Nov 2017. France PP: Agri: GS: Seeds & Planting Stock data is updated monthly, averaging 84.600 2010=100 from Jan 1980 (Median) to Dec 2017, with 456 observations. The data reached an all-time high of 109.400 2010=100 in Oct 2015 and a record low of 47.000 2010=100 in Mar 1981. France PP: Agri: GS: Seeds & Planting Stock data remains active status in CEIC and is reported by French National Institute for Statistics and Economic Studies. The data is categorized under Global Database’s France – Table FR.I026: Purchase Price Index: Agricultural Products: 2010=100. Rebased from 2010=100 to 2015=100 Replacement series ID: 401064087