Prices for Cyprus Stock Exchange General Index including live quotes, historical charts and news. Cyprus Stock Exchange General Index was last updated by Trading Economics this December 2 of 2025.

Cyprus's main stock market index, the CSE General, fell to 277 points on December 1, 2025, losing 0.13% from the previous session. Over the past month, the index has declined 1.62%, though it remains 31.12% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Cyprus. Cyprus Stock Market (Cyprus General) - values, historical data, forecasts and news - updated on December of 2025.

Cyprus CY: Market Capitalization: Listed Domestic Companies data was reported at 6.533 USD bn in 2022. This records an increase from the previous number of 5.652 USD bn for 2021. Cyprus CY: Market Capitalization: Listed Domestic Companies data is updated yearly, averaging 4.285 USD bn from Dec 2006 (Median) to 2022, with 17 observations. The data reached an all-time high of 17.251 USD bn in 2007 and a record low of 1.996 USD bn in 2012. Cyprus CY: Market Capitalization: Listed Domestic Companies data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cyprus – Table CY.World Bank.WDI: Financial Sector. Market capitalization (also known as market value) is the share price times the number of shares outstanding (including their several classes) for listed domestic companies. Investment funds, unit trusts, and companies whose only business goal is to hold shares of other listed companies are excluded. 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.

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.

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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

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• Market sentiment analysis

• Risk management

Use Cases:

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

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• 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

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