Euro Area's main stock market index, the EU50, rose to 5377 points on September 2, 2025, gaining 0.16% from the previous session. Over the past month, the index has climbed 2.57% and is up 9.46% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Euro Area. Euro Area Stock Market Index (EU50) - values, historical data, forecasts and news - updated on September of 2025.

Hong Kong SAR (China) Diffusion Indices: Employment: Current: Import and Export Trade data was reported at 49.700 Point in Mar 2025. This records an increase from the previous number of 49.200 Point for Feb 2025. Hong Kong SAR (China) Diffusion Indices: Employment: Current: Import and Export Trade data is updated monthly, averaging 49.600 Point from Jun 2011 (Median) to Mar 2025, with 166 observations. The data reached an all-time high of 51.000 Point in Nov 2013 and a record low of 48.000 Point in Nov 2022. Hong Kong SAR (China) Diffusion Indices: Employment: Current: Import and Export Trade data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.S013: Diffusion Indices on Business Receipts and Employment. [COVID-19-IMPACT]

Index: TSE: 1st Section: MA: Real Estate data was reported at 1,520.779 04Jan1968=100 in Jun 2018. This records a decrease from the previous number of 1,559.857 04Jan1968=100 for May 2018. Index: TSE: 1st Section: MA: Real Estate data is updated monthly, averaging 925.960 04Jan1968=100 from Dec 1987 (Median) to Jun 2018, with 367 observations. The data reached an all-time high of 2,363.700 04Jan1968=100 in Dec 1989 and a record low of 402.363 04Jan1968=100 in Apr 2003. Index: TSE: 1st Section: MA: Real Estate data remains active status in CEIC and is reported by Japan Exchange Group. The data is categorized under Global Database’s Japan – Table JP.Z002: All Stock Exchange: Market Indices.

Poland - Trade unit value indices: Import unit value index (2015=100) was 121.70% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Poland - Trade unit value indices: Import unit value index (2015=100) - last updated from the EUROSTAT on July of 2025. Historically, Poland - Trade unit value indices: Import unit value index (2015=100) reached a record high of 121.70% in December of 2024 and a record low of 75.80% in December of 2013.

Browse LSEG's Money Market (MM) Pricing Data, and benefit from our comprehensive coverage real-time and historical pricing and indices data.

Taiwan TWSE: Equity Market Index: Chemical data was reported at 99.750 29Jun2007=100 in Oct 2018. This records a decrease from the previous number of 111.960 29Jun2007=100 for Sep 2018. Taiwan TWSE: Equity Market Index: Chemical data is updated monthly, averaging 106.640 29Jun2007=100 from Jul 2007 (Median) to Oct 2018, with 136 observations. The data reached an all-time high of 152.140 29Jun2007=100 in Jul 2011 and a record low of 53.200 29Jun2007=100 in Oct 2008. Taiwan TWSE: Equity Market Index: Chemical data remains active status in CEIC and is reported by Taiwan Stock Exchange Corporation. The data is categorized under Global Database’s Taiwan – Table TW.Z001: Taiwan Stock Exchange (TWSE): Indices.

The MODIS level-3 Vegetation Indices Daily Rolling-8-Day Near Real Time (NRT), MOD13A4N data are provided everyday at 500-meter spatial resolution as a gridded level-3 product in the Sinusoidal projection. Vegetation indices are used for global monitoring of vegetation conditions and are used in products displaying land cover and land cover changes. These data may be used as input for modeling global biogeochemical and hydrologic processes and global and regional climate. These data also may be used for characterizing land surface biophysical properties and processes including primary production and land cover conversion.Note: This is a near real-time product only. Standard historical data and imagery for MOD13Q4N (250m) and MOD13A4N (500m) are not available. Users can either use the NDVI standard products from LAADS web (https://ladsweb.modaps.eosdis.nasa.gov/search/) or access the science quality MxD09[A1/Q1] data and create the NDVI product of their own.

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.

Cotton Index: The Future of Textile Trade?

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

Granger test results—causality relationship between the S&P 500 index and its respective confidence index.

Slovakia - Trade volume indices: Import volume index (2015=100) was 98.30% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Slovakia - Trade volume indices: Import volume index (2015=100) - last updated from the EUROSTAT on August of 2025. Historically, Slovakia - Trade volume indices: Import volume index (2015=100) reached a record high of 109.10% in December of 2018 and a record low of 77.20% in December of 2010.

Japan Index: TSE: 1st Section: MA: Banks data was reported at 178.548 06Jan1992=1000 in Jun 2018. This records a decrease from the previous number of 187.154 06Jan1992=1000 for May 2018. Japan Index: TSE: 1st Section: MA: Banks data is updated monthly, averaging 210.372 06Jan1992=1000 from Jan 1997 (Median) to Jun 2018, with 258 observations. The data reached an all-time high of 645.418 06Jan1992=1000 in Jul 1997 and a record low of 100.428 06Jan1992=1000 in Nov 2011. Japan Index: TSE: 1st Section: MA: Banks data remains active status in CEIC and is reported by Japan Exchange Group. The data is categorized under Global Database’s Japan – Table JP.Z002: All Stock Exchange: Market Indices.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_4e5473934b66f14ea04accae91487a26/view

Graph and download economic data for S&P CoreLogic Case-Shiller 20-City Home Price Sales Pair Counts (SPCS20RPSNSA) from Jan 2000 to Jun 2025 about sales, HPI, housing, price index, indexes, price, and USA.

Contains price indices, percentage changes and weights for the Consumer Prices Index (CPI), Retail Prices Index (RPI) and the components that make up these indices. Internationally, the CPI is known as the Harmonised Index of Consumer Prices (HICP) Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: CPI

Collection includes a variety of indices related to solar activity contributed by a number of national and private solar observatories located worldwide. This metadata record is currently under construction.[SolarIndices A]

The International Price Program (IPP) produces Import/Export Price Indexes (MXP) containing data on changes in the prices of nonmilitary goods and services traded between the U.S. and the rest of the world. For more information and data visit: https://www.bls.gov/mxp/

Import & Export (Volumes, Indices) (Foreign Trade):Germany, Years, Groups of Countries, Main Industrial Groupings

Poland - Trade volume indices: Import volume index (2015=100) was 99.60% in December of 2024, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Poland - Trade volume indices: Import volume index (2015=100) - last updated from the EUROSTAT on August of 2025. Historically, Poland - Trade volume indices: Import volume index (2015=100) reached a record high of 103.90% in December of 2022 and a record low of 70.70% in December of 2013.

Dataset from Singapore Department of Statistics. For more information, visit https://data.gov.sg/datasets/d_378818f5f6dd1c83a42b5c63b943b0bc/view