Browse LSEG's Exchange Traded Instruments, discover our range of data, indices & benchmarks. Our Data Catalogue offers unrivaled data and delivery mechanisms.

View LSEG's ICE Data Pricing and Reference Data, and find real-time market data, time-sensitive pricing, and reference data for securities trading.

High Definition HD Voice Market is segmented by User Type (Enterprise user and Consumer), Access Type (Mobile and Broadband), Application (Video Conferencing, Audio Conferencing, Web Conferencing, Multimedia Conferencing, Audio Broadcast, Announcement Services), and Geography.

Gain pricing and market data from GFI Group, and benefit from their experience in operating markets for cash and derivative products across asset classes.

The best choice for those looking for license-free US market data for commercial use is US Equities Basic, which includes data display, redistribution, professional trading, and more.

US Equities Basic is based upon a derived IEX feed. The volume coverage is 3-5% of the total trading volume in North America, which helps entities mitigate license expenses and start with real-time data.

US Equities Basic provides raw quotes, trades, aggregated time series (OHLCV), and snapshots. Both REST API and WebSocket API are available.

End-of-day price information disseminated after 12:00 AM EST does not require licensing in the United States by law. This applies to all exchanges, even those not included in the US Equities Basic. Finazon combines all price information after every trading day, meaning that while markets are open, real-time prices are available from a subset of exchanges, and when markets close, data is synced and contains 100% of US volume. All historical prices are adjusted for corporate actions and splits.

Tip: Individuals with non-professional usage are not required to get exchange licenses for real-time data and, hence, are better off with the US Equities Max dataset.

The Data Center Market report segments the industry into Data Center Size (Large, Massive, Medium, Mega, Small), Tier Type (Tier 1 and 2, Tier 3, Tier 4), Absorption (Non-Utilized, Utilized), and Region (APAC, Africa, Europe, Middle East, North America, South America). Get five years of historical data alongside five-year market forecasts.

United Kingdom's main stock market index, the GB100, rose to 9534 points on October 8, 2025, gaining 0.54% from the previous session. Over the past month, the index has climbed 3.16% and is up 15.66% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from United Kingdom. United Kingdom Stock Market Index (GB100) - values, historical data, forecasts and news - updated on October of 2025.

View Refinitiv's New York Stock Exchange (NYSE) Market Data and benefit from full-depth market-by-price data, available as real-time and historical records.

The Ultra High Definition Surgical Display Market Report is Segmented by Type (LED UHD Display and LCD UHD Display), End User (Hospitals, Diagnostic Imaging Centers, Ambulatory Surgical Centers, and Other End Users), and Geography (North America, Europe, Asia-Pacific, Middle East and Africa, and South America). The Report Offers the Value (USD) for the Above Segments.

Kenya's main stock market index, the Nairobi 20, fell to 2995 points on October 7, 2025, losing 0.90% from the previous session. Over the past month, the index has climbed 0.65% and is up 67.20% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Kenya. Kenya Stock Market (NSE20) - values, historical data, forecasts and news - updated on October of 2025.

The data center market is estimated to stand at US$ 30.41 billion in 2024. The market is forecasted to exceed a valuation of US$ 117.24 billion by 2034, recording a CAGR of 14.40%. Data center demand is primarily driven by the exponential upsurge in data consumption and data generation by organizations across multiple industries.

Attributes	Details
Estimated Data Center Market Size (2024)	US$ 30.41 billion
Forecasted Market Size (2034)	US$ 117.24 billion
Projected Value CAGR (2024 to 2034)	14.40%

Historical Study on Data Center Market Alongside Future Projections

Attributes	Quantitative Outlook
Data Center Market Size (2023)	US$ 26.83 billion
Historical CAGR (2019 to 2023)	12.70%

Demand Analysis of Data Centers by Region

Countries	Data Center Industry Forecasted CAGR (2024 to 2034)
United States	11.30%
Germany	9.90%
China	15.00%

Data Center Industry Analysis by Segment

Segment	Estimated Market Share in 2024
Hardware	51.80%
Tier 3 Data Center	38.10%

The High Definition Objective market has experienced significant growth in recent years, reflecting the increasing demand for precision and clarity in various applications, from surgical imaging to industrial inspections. High-definition objectives, which are critical components in optical systems, enhance the resol

Disclaimer!!! Data uploaded here are collected from the internet. 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 monetary or any favor) for this dataset.

Overview

This dataset contains historical daily prices for Nifty 100 stocks and indices currently trading on the Indian Stock Market. - Data samples are of 15-minute intervals and the availability of data is from Jan 2015 to Feb 2022. - Along with OHLCV (Open, High, Low, Close, and Volume) data, we have created 55 technical indicators. - More details about these technical indicators are provided in the Data description file.

Content

The whole dataset is around 5 GB, and 100 stocks (Nifty 100 stocks) and 2 indices (Nifty 50 and Nifty Bank indices) are present in this dataset. Details about each file are - - OHLCV (Open, High, Low, Close, and Volume) data

Inspiration

• Data is uploaded for Research and Educational purposes.

Possible problem statements

• Univariate and Multi-variate time series forecasting of stock prices and index prices
• Multi-variate data can be used to predict the trend of the stock price (Buy or Sell or Hold)
• Different intraday or positional trading strategies can be built out of this multivariate data. [technical indicators are already added here]
• EDA on time series data

Index Name	Index Name	Index Name	Index Name
NIFTY BANK	NIFTY 50	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

Company Name	Company Name	Company Name	Company Name
ABB India Ltd.	Adani Energy Solutions Ltd.	Adani Enterprises Ltd.	Adani Green Energy Ltd.
Adani Ports and SEZ Ltd.	Adani Power Ltd.	Ambuja Cements Ltd.	Apollo Hospitals Enterprise Ltd.
Asian Paints Ltd.	Avenue Supermarts Ltd.	Axis Bank Ltd.	Bajaj Auto Ltd.
Bajaj Finance Ltd.	Bajaj Finserv Ltd.	Bajaj Holdings & Investment Ltd.	Bajaj Housing Finance Ltd.
Bank of Baroda	Bharat Electronics Ltd.	Bharat Petroleum Corporation Ltd.	Bharti Airtel Ltd.
Bosch Ltd.	Britannia Industries Ltd.	CG Power and Industrial Solutions Ltd.	Canara Bank
Cholamandalam Inv. & Fin. Co. Ltd.	Cipla Ltd.	Coal India Ltd.	DLF Ltd.
Dabur India Ltd.	Divi's Laboratories Ltd.	Dr. Reddy's Laboratories Ltd.	Eicher Motors Ltd.
Eternal Ltd.	GAIL (India) Ltd.	Godrej Consumer Products Ltd.	Grasim Industries Ltd.
HCL Technologies Ltd.	HDFC Bank Ltd.	HDFC Life Insurance Co. Ltd.	Havells India Ltd.
Hero MotoCorp Ltd.	Hindalco Industries Ltd.	Hindustan Aeronautics Ltd.	Hindustan Unilever Ltd.
Hyundai Motor India Ltd.	ICICI Bank Ltd.	ICICI Lombard General Insurance Ltd.	ICICI Prudential Life Insurance Ltd.
ITC Ltd.	Indian Hotels Co. Ltd.	Indian Oil Corporation Ltd.	I...

The main stock market index of United States, the US500, rose to 6730 points on October 8, 2025, gaining 0.24% from the previous session. Over the past month, the index has climbed 3.34% and is up 16.20% compared to the same time last year, 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 October of 2025.

Indonesia's main stock market index, the JCI, fell to 8147 points on October 8, 2025, losing 0.27% from the previous session. Over the past month, the index has climbed 6.79% and is up 8.61% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Indonesia. Indonesia Stock Market (JCI) - values, historical data, forecasts and news - updated on October of 2025.

In 2025, stock markets in the United States accounted for roughly ** percent of world stocks. The next largest country by stock market share was China, followed by the European Union as a whole. The New York Stock Exchange (NYSE) and the NASDAQ are the largest stock exchange operators worldwide. What is a stock exchange? The first modern publicly traded company was the Dutch East Industry Company, which sold shares to the general public to fund expeditions to Asia. Since then, groups of companies have formed exchanges in which brokers and dealers can come together and make transactions in one space. Stock market indices group companies trading on a given exchange, giving an idea of how they evolve in real time. Appeal of stock ownership Over half of adults in the United States are investing money in the stock market. Stocks are an attractive investment because the possible return is higher than offered by other financial instruments.

The High Definition Micro Objective market has emerged as a pivotal segment in the optical components industry, reflecting significant advancements in imaging technology and a growing demand for precision optics across various applications. Used predominantly in fields such as microscopy, endoscopy, and optical insp

The dataset contains a total of 25,161 rows, each row representing the stock market data for a specific company on a given date. The information collected through web scraping from www.nasdaq.com includes the stock prices and trading volumes for the companies listed, such as Apple, Starbucks, Microsoft, Cisco Systems, Qualcomm, Meta, Amazon.com, Tesla, Advanced Micro Devices, and Netflix.

Data Analysis Tasks:

1) Exploratory Data Analysis (EDA): Analyze the distribution of stock prices and volumes for each company over time. Visualize trends, seasonality, and patterns in the stock market data using line charts, bar plots, and heatmaps.

2)Correlation Analysis: Investigate the correlations between the closing prices of different companies to identify potential relationships. Calculate correlation coefficients and visualize correlation matrices.

3)Top Performers Identification: Identify the top-performing companies based on their stock price growth and trading volumes over a specific time period.

4)Market Sentiment Analysis: Perform sentiment analysis using Natural Language Processing (NLP) techniques on news headlines related to each company. Determine whether positive or negative news impacts the stock prices and volumes.

5)Volatility Analysis: Calculate the volatility of each company's stock prices using metrics like Standard Deviation or Bollinger Bands. Analyze how volatile stocks are in comparison to others.

Machine Learning Tasks:

1)Stock Price Prediction: Use time-series forecasting models like ARIMA, SARIMA, or Prophet to predict future stock prices for a particular company. Evaluate the models' performance using metrics like Mean Squared Error (MSE) or Root Mean Squared Error (RMSE).

2)Classification of Stock Movements: Create a binary classification model to predict whether a stock will rise or fall on the next trading day. Utilize features like historical price changes, volumes, and technical indicators for the predictions. Implement classifiers such as Logistic Regression, Random Forest, or Support Vector Machines (SVM).

3)Clustering Analysis: Cluster companies based on their historical stock performance using unsupervised learning algorithms like K-means clustering. Explore if companies with similar stock price patterns belong to specific industry sectors.

4)Anomaly Detection: Detect anomalies in stock prices or trading volumes that deviate significantly from the historical trends. Use techniques like Isolation Forest or One-Class SVM for anomaly detection.

5)Reinforcement Learning for Portfolio Optimization: Formulate the stock market data as a reinforcement learning problem to optimize a portfolio's performance. Apply algorithms like Q-Learning or Deep Q-Networks (DQN) to learn the optimal trading strategy.

The dataset provided on Kaggle, titled "Stock Market Stars: Historical Data of Top 10 Companies," is intended for learning purposes only. The data has been gathered from public sources, specifically from web scraping www.nasdaq.com, and is presented in good faith to facilitate educational and research endeavors related to stock market analysis and data science.

It is essential to acknowledge that while we have taken reasonable measures to ensure the accuracy and reliability of the data, we do not guarantee its completeness or correctness. The information provided in this dataset may contain errors, inaccuracies, or omissions. Users are advised to use this dataset at their own risk and are responsible for verifying the data's integrity for their specific applications.

This dataset is not intended for any commercial or legal use, and any reliance on the data for financial or investment decisions is not recommended. We disclaim any responsibility or liability for any damages, losses, or consequences arising from the use of this dataset.

By accessing and utilizing this dataset on Kaggle, you agree to abide by these terms and conditions and understand that it is solely intended for educational and research purposes.

Please note that the dataset's contents, including the stock market data and company names, are subject to copyright and other proprietary rights of the respective sources. Users are advised to adhere to all applicable laws and regulations related to data usage, intellectual property, and any other relevant legal obligations.

In summary, this dataset is provided "as is" for learning purposes, without any warranties or guarantees, and users should exercise due diligence and judgment when using the data for any purpose.

We have collected data on the retirement income market since April 2015. The data helps us monitor developments. For example, it gives us insight into the actions consumers take the first time they access a pension pot. Previously published data up to March 2018 is also included in separate tables. The data for these periods was initially drawn from a representative sample. We started collecting data from all regulated firms that provide retirement income products from 1 April 2018. This change means users should be careful if comparing the more complete data to data from before April 2018. What’s included in the data Numbers and types of pension plans accessed for the first time. Number of plans where the plan holder made a regular or ad hoc partial withdrawal. Use of advice when purchasing retirement products. Types of annuity options sold. Sources of business for retirement product providers. Number of defined benefit (DB) to defined contribution (DC) pension transfers received.

The High Definition Ultrasound Gastroscope market is experiencing a transformative phase driven by technological advancements and an increasing demand for enhanced diagnostic capabilities in gastroenterology. A high definition ultrasound gastroscope is an advanced medical instrument utilized for imaging and evaluati