This dataset contains the full historical record of the S&P 500 index (^GSPC), downloaded via the Yahoo Finance API using the yfinance Python library.

The dataset includes: - Date: Trading date - Open, High, Low, Close: Daily price levels - Volume: Daily trading volume

Period covered: Dec 30, 1927 – Aug 31, 2025 Frequency: Daily

⚠️ Disclaimer: This dataset is provided for educational and research purposes only. Redistribution or commercial use may be subject to Yahoo Finance’s Terms of Service

License

Data sourced from Yahoo Finance. Provided for educational and research purposes only. Redistribution may be restricted.

Twelve Data is a technology-driven company that provides financial market data, financial tools, and dedicated solutions. Large audiences - from individuals to financial institutions - use our products to stay ahead of the competition and success.

At Twelve Data we feel responsible for where the markets are going and how people are able to explore them. Coming from different technological backgrounds, we see how the world is lacking the unique and simple place where financial data can be accessed by anyone, at any time. This is what distinguishes us from others, we do not only supply the financial data but instead, we want you to benefit from it, by using the convenient format, tools, and special solutions.

We believe that the human factor is still a very important aspect of our work and therefore our ethics guides us on how to treat people, with convenient and understandable resources. This includes world-class documentation, human support, and dedicated solutions.

The main stock market index of United States, the US500, rose to 6818 points on December 2, 2025, gaining 0.08% from the previous session. Over the past month, the index has declined 0.50%, though it remains 12.70% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from United States. United States Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

Index Data Management Market Outlook

As per our latest research, the global index data management market size reached USD 5.4 billion in 2024, reflecting robust demand for advanced data management solutions across diverse industries. The market is expected to maintain a strong growth trajectory, registering a CAGR of 13.2% from 2025 to 2033. By the end of 2033, the global index data management market is forecasted to surpass USD 16.5 billion. This impressive growth is primarily driven by the surging volume of enterprise data, the increasing need for regulatory compliance, and the rapid digital transformation initiatives being undertaken by organizations worldwide.

The exponential growth in data generation, particularly from digital platforms, IoT devices, and business applications, is a significant growth driver for the index data management market. Organizations are increasingly recognizing the value of structured and unstructured data as strategic assets, necessitating robust solutions for efficient data indexing, discovery, and retrieval. The proliferation of big data analytics, artificial intelligence, and machine learning applications further amplifies the demand for advanced index data management platforms that can seamlessly handle complex data sets, enhance data accessibility, and support real-time decision-making processes. As enterprises strive to leverage data for competitive advantage, the adoption of comprehensive index data management solutions is set to accelerate across all major industry verticals.

Another major factor fueling the expansion of the index data management market is the growing emphasis on data governance and regulatory compliance. With the implementation of stringent data protection regulations such as GDPR, CCPA, and other regional mandates, organizations are under increasing pressure to ensure data accuracy, traceability, and security. Index data management solutions play a crucial role in facilitating compliance by providing centralized data catalogs, metadata management, and robust audit trails. These capabilities not only mitigate compliance risks but also enhance organizational transparency and trust. As regulatory frameworks continue to evolve, the necessity for scalable and adaptable index data management systems is expected to intensify, further propelling market growth.

The rapid adoption of cloud computing and hybrid IT infrastructures is also transforming the index data management landscape. Enterprises are increasingly migrating their workloads to the cloud to achieve greater scalability, flexibility, and cost efficiency. This shift necessitates sophisticated index data management solutions that can operate seamlessly across on-premises, cloud, and hybrid environments. Cloud-based index data management platforms offer enhanced integration capabilities, real-time data synchronization, and improved collaboration among distributed teams. As digital transformation initiatives gain momentum, particularly in sectors such as BFSI, healthcare, and retail, the demand for cloud-native index data management solutions is poised to surge, shaping the future trajectory of the market.

From a regional perspective, North America currently dominates the index data management market, accounting for the largest share owing to the presence of leading technology providers, early adoption of advanced data management practices, and a highly digitized business ecosystem. However, the Asia Pacific region is emerging as a high-growth market, driven by rapid digitalization, increasing investments in IT infrastructure, and the expanding presence of global enterprises. Europe also represents a significant market, supported by stringent data privacy regulations and a strong focus on data-driven innovation. As organizations across all regions prioritize data-driven strategies, the global index data management market is expected to witness sustained growth through 2033.

Component Analysis

The index data management market is segmented by component into software and services, each playing a pivotal role in driving market growth and adoption. The software segment encompasses a wide array of solutions designed for data cataloging, metadata management, data quality, and master data management. These software solutions are increasingly being integrated with artificial intelligence and machine learning capabilities, enabling organizations to automate data discovery, classification, a

United States Import Value Index data was reported at 126.779 2015=100 in 2021. This records an increase from the previous number of 103.958 2015=100 for 2020. United States Import Value Index data is updated yearly, averaging 51.384 2015=100 from Dec 1980 (Median) to 2021, with 42 observations. The data reached an all-time high of 126.779 2015=100 in 2021 and a record low of 11.319 2015=100 in 1982. United States Import Value Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Trade Index. Import value indexes are the current value of imports (c.i.f.) converted to U.S. dollars and expressed as a percentage of the average for the base period (2015). UNCTAD's import value indexes are reported for most economies.;United Nations Conference on Trade and Development;;

This dataset was developed to model habitat suitability for two ungulate species on the island of Lanai. This includes raster data derived from WorldView-2 data to create a bare ground index. This index, in addition to other datasets, was used to create the habitat suitability models. Datasets and indices derived for use in modeling efforts, as well as suitability models, are included within this data release.

Dataset

This dataset was created by abdallah gomaa

Contents

France: Innovations index (0-100): The latest value from 2025 is 53.4 points, a decline from 55.4 points in 2024. In comparison, the world average is 31.49 points, based on data from 139 countries. Historically, the average for France from 2011 to 2025 is 53.67 points. The minimum value, 49.3 points, was reached in 2011 while the maximum of 56.02 points was recorded in 2023.

the meteorogical data are given

Leaf Area Index data from the KBS GLBRC...

This dataset provides values for INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Sweden: Innovations index (0-100): The latest value from 2025 is 62.6 points, a decline from 64.5 points in 2024. In comparison, the world average is 31.49 points, based on data from 139 countries. Historically, the average for Sweden from 2011 to 2025 is 63.05 points. The minimum value, 61.4 points, was reached in 2013 while the maximum of 64.8 points was recorded in 2012.

Graph and download economic data for Producer Price Index by Industry: Data Processing, Hosting and Related Services (PCU518210518210) from Dec 2000 to Aug 2025 about information technology, processed, services, PPI, industry, inflation, price index, indexes, price, and USA.

Palestine: Economic freedom, overall index (0-100): The latest value from is index points, unavailable from index points in . In comparison, the world average is 0 index points, based on data from countries. Historically, the average for Palestine from to is index points. The minimum value, index points, was reached in while the maximum of index points was recorded in .

Mali: Public services index, 0 (high) - 10 (low): The latest value from 2024 is 8.9 index points, unchanged from 8.9 index points in 2023. In comparison, the world average is 5.33 index points, based on data from 176 countries. Historically, the average for Mali from 2007 to 2024 is 8.66 index points. The minimum value, 8 index points, was reached in 2012 while the maximum of 9.1 index points was recorded in 2021.

UPDATED EVERY WEEK Last Update - 26th July 2025

Disclaimer!!! Data uploaded here are collected from the internet and some google drive. The sole purposes of uploading these data are to provide this Kaggle community with a good source of data for analysis and research. I don't own these datasets and am also not responsible for them legally by any means. I am not charging anything (either money or any favor) for this dataset. RESEARCH PURPOSE ONLY

Context

• The NIFTY 50 is a well-diversified 50 stock index and it represents 13 important sectors of the economy.
• It is used for a variety of purposes such as benchmarking fund portfolios, index-based derivatives, and index funds.
• NIFTY 50 is owned and managed by NSE Indices Limited.
• The NIFTY 50 index has shaped up to be the largest single financial product in India.

This data contains all the indices of NSE. NIFTY 50, NIFTY BANK, NIFTY 100, NIFTY COMMODITIES, NIFTY CONSUMPTION, NIFTY FIN SERVICE, NIFTY IT, NIFTY INFRA, NIFTY ENERGY, NIFTY FMCG, NIFTY AUTO, NIFTY 200, NIFTY ALPHA 50, NIFTY 500, NIFTY CPSE, NIFTY GS COMPSITE, NIFTY HEALTHCARE, NIFTY CONSR DURBL, NIFTY LARGEMID250, NIFTY INDIA MFG, NIFTY IND DIGITAL, INDIA VIX

File Information and Column Descriptions.

Nifty 50 index data with 1 minute data. The dataset contains OHLC (Open, High, Low, and Close) prices from Jan 2015 to Aug 2024. - This dataset can be used for time series analysis, regression problems, and time series forecasting both for one step and multi-step ahead in the future. - Options data can be integrated with this minute data, to get more insight about this data. - Different backtesting strategies can be built on this data.

File Information

• This dataset contains 6 files, each file contains nifty 50 data with different intervals.
• Different intervals are - 1 min, 3 min, 5 min, 15 min, and 1 hour, Daily data from intervals of 2015 Jan to 2024 August.

Column Descriptors

• Each file contains OHLC (Open, High, Low, and Close) prices and Data time information. Since these are Nifty 50 index data, so volume is not present.

Inspiration

Time series forecasting - Predict stock price

• Predict future stock price one step ahead and multi-step ahead in time.
• Use different time series forecasting techniques for forecasting the future stock price. ### Machine learning and Deep learning techniques
• Possible ML and DL models include Neural networks, RNNs, LSTMs, Transformers, Attention networks, etc.
• Different error functions can be considered like RMSE, MAE, RMSEP etc. ### Feature engineering
• Different augmented features can be created and that can be used for forecasting.
• Correlation analysis, Feature importance to justify the important features.

An Environmental Quality Index (EQI) for all counties in the United States for the time period 2000-2005 was developed which incorporated data from five environmental domains: air, water, land, built, and socio-demographic. The EQI was developed in four parts: domain identification; data source identification and review; variable construction; and data reduction using principal components analysis (PCA). The methods applied provide a reproducible approach that capitalizes almost exclusively on publically-available data sources. The primary goal in creating the EQI is to use it as a composite environmental indicator for research on human health. A series of peer reviewed manuscripts utilized the EQI in examining health outcomes. This dataset is not publicly accessible because: This series of papers are considered Human health research - not to be loaded onto ScienceHub. It can be accessed through the following means: The EQI data can be accessed at: https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. Format: EQI data, metadata, formats, and data dictionary all available at website. This dataset is associated with the following publications: Gray, C., L. Messer, K. Rappazzo, J. Jagai, S. Grabich, and D. Lobdell. The association between physical inactivity and obesity is modified by five domains of environmental quality in U.S. adults: A cross-sectional study. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 13(8): e0203301, (2018). Patel, A., J. Jagai, L. Messer, C. Gray, K. Rappazzo, S. DeflorioBarker, and D. Lobdell. Associations between environmental quality and infant mortality in the United States, 2000-2005. Archives of Public Health. BioMed Central Ltd, London, UK, 76(60): 1, (2018). Gray, C., D. Lobdell, K. Rappazzo, Y. Jian, J. Jagai, L. Messer, A. Patel, S. Deflorio-Barker, C. Lyttle, J. Solway, and A. Rzhetsky. Associations between environmental quality and adult asthma prevalence in medical claims data. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 166: 529-536, (2018).

Australia: Economic freedom, overall index (0-100): The latest value from 2025 is 79 index points, an increase from 76 index points in 2024. In comparison, the world average is 60 index points, based on data from 174 countries. Historically, the average for Australia from 1995 to 2025 is 79 index points. The minimum value, 74 index points, was reached in 1995 while the maximum of 83 index points was recorded in 2009.

United States New York Stock Exchange: Index: US 100 Index data was reported at 18,140.503 NA in Nov 2025. This records an increase from the previous number of 17,877.968 NA for Oct 2025. United States New York Stock Exchange: Index: US 100 Index data is updated monthly, averaging 9,534.600 NA from Jan 2012 (Median) to Nov 2025, with 167 observations. The data reached an all-time high of 18,140.503 NA in Nov 2025 and a record low of 5,695.000 NA in May 2012. United States New York Stock Exchange: Index: US 100 Index data remains active status in CEIC and is reported by Exchange Data International Limited. The data is categorized under Global Database’s United States – Table US.EDI.SE: New York Stock Exchange: Monthly.