Prices for United States Stock Market Index (US30) including live quotes, historical charts and news. United States Stock Market Index (US30) was last updated by Trading Economics this August 21 of 2025.

Euro Area's main stock market index, the EU50, fell to 5461 points on August 22, 2025, losing 0.04% from the previous session. Over the past month, the index has climbed 2.18% and is up 11.24% 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 August of 2025.

The US Capital Market Exchange Ecosystem is Segmented by Type of Market (Primary Market and Secondary Market), by Financial Instruments (Debt and Equity), and by Investors (Retail Investors and Institutional Investors). The report offers market size and forecasts for the US Capital Market Exchange Ecosystem in value (USD Million) for all the above segments.

US Stock Market Data (21st November 2023 – 2nd February 2024)

Overview

This dataset provides detailed historical data on the US stock market, covering the period from 21st November 2023 to 2nd February 2024. It includes daily performance metrics for major stocks and indices, enabling investors, analysts, and researchers to study short-term market trends, fluctuations, and patterns.

Dataset Contents

The dataset contains the following key attributes for each trading day:

Date: The trading date.

Ticker: Stock ticker symbol (e.g., AAPL for Apple, MSFT for Microsoft).

Open Price: The price at which the stock opened for trading.

Close Price: The price at which the stock closed for trading . High Price: The highest price reached during the trading session.

Low Price: The lowest price reached during the trading session.

Adjusted Close Price: The closing price adjusted for splits and dividend payouts.

Trading Volume: The total number of shares traded on that day.

Highlights

Time Period: Covers daily data for over two months of trading activity.

Market Scope: Includes data from a diverse set of stocks, industries, and sectors, reflecting the broader US market trends.

Indices and Major Stocks: Tracks key indices (e.g., S&P 500, NASDAQ) and major stocks across various sectors .

Potential Applications

Analyzing short-term market performance trends. Developing trading strategies or backtesting investment models. Exploring the impact of macroeconomic events on stock performance. Studying sector-wise performance in the US stock market.

Data Source

The data has been sourced from publicly available market records, ensuring reliability and accuracy. Each data point represents an official trading record from the respective exchange.

Usage Notes

The dataset is intended for educational, analytical, and research purposes only. Users should be mindful of potential market anomalies or external factors influencing data during this time frame.

Acknowledgments

Special thanks to the organizations and platforms that make financial market data accessible for analysis and research.

China's main stock market index, the SHANGHAI, rose to 3826 points on August 22, 2025, gaining 1.45% from the previous session. Over the past month, the index has climbed 6.80% and is up 34.03% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from China. China Shanghai Composite Stock Market Index - values, historical data, forecasts and news - updated on August of 2025.

High-Tech Companies on NASDAQ

Market Capitalization and Performance Metrics

By [source]

About this dataset

This dataset offers an insightful look into the performance of high-tech companies listed on the NASDAQ exchange in the United States. With information pertaining to over 8,000 companies in the electronics, computers, telecommunications, and biotechnology sectors, this is an incredibly useful source of insight for researchers, traders, investors and data scientists interested in acquiring information about these firms.

The dataset includes detailed variables such as stock symbols and names to provide quick identification of individual companies along with pricing changes and percentages from the previous day’s value as well as sector and industry breakdowns for comprehensive analysis. Other metrics like market capitalization values help to assess a firm’s relative size compared to competitors while share volume data can give a glimpse into how actively traded each company is. Additionally provided numbers include earnings per share breakdowns to gauge profits along with dividend pay date symbols for yield calculation purposes as well as beta values that further inform risk levels associated with investing in particular firms within this high-tech sector. Finally this dataset also collects any potential errors found amongst such extensive scrapes of company performance data giving users valuable reassurance no sensitive areas are missed when assessing various firms on an individual basis or all together as part of an overarching system

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How to use the dataset

This dataset is invaluable for researchers, traders, investors and data scientists who want to obtain the latest information about high-tech companies listed on the NASDAQ exchange in the United States. It contains data on more than 8,000 companies from a wide range of sectors such as electronics, computers, telecommunications, biotechnology and many more. In this guide we will learn how to use this dataset effectively.

Basics: The basics of working with this dataset include understanding various columns like symbol, name, price,pricing_changes, pricing_percentage_changes,sector,industry,market_cap,share_volume,earnings_per_share. Each column is further described below: - Symbol: This column gives you the stock symbol of the company. (String) - Name: This column gives you the name of the company. (String)
- Price: The current price of each stock given by symbol is mentioned here.(Float) - Pricing Changes: This represents change in stock price from previous day.(Float) - Pricing Percentage Changes :This provides percentage change in stock prices from previous day.(Float) - Sector : It give information about sector in which company belongs .(String). - Industry : Describe industry in which company lies.(string). - Market Capitalization : Give market capitalization .(String). - Share Volume : It refers to number share traded last 24 hrs.(Integer). - Earnings Per Share : It refer to earnings per share per Stock yearly divided by Dividend Yield ,Symbol Yield and Beta .It also involves Errors related with Data Set so errors specified here proviedes details regarding same if any errors occured while collecting data set or manipulation on it.. (float/string )

Advanced Use Cases: Now that we understand what each individual feature stands for it's time to delve deeper into optimizing returns using this data set as basis for our decision making processes such as selecting right portfolio formation techniques or selecting stocks wisely contrarian investment style etc. We can do a comparison using multiple factors like Current Price followed by Price Change percentage or Earnings feedback loop which would help us identify Potentially Undervalued investments both Short Term & Long Term ones at same time and We could dive into analysis showing Relationship between Price & Volumne across Sectors and

Research Ideas

• Analyzing stock trends - The dataset enables users to make informed decisions by tracking and analyzing changes in indicators such as price, sector, industry or market capitalization trends over time.
• Exploring correlations between different factors - By exploring the correlation between different factors such as pricing changes, earning per share or beta etc., it enables us to get a better understanding of how these elements influence each other and what implications it may have on our investments

Acknowledgements

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4974 Stock Symbols End of day data. Includes close open high low volume and date. Data was collected from Google finance public data. +—————+——————+ | Table | Size in MB | +—————+——————+ | surf_eod | 1109.00 | +—————+——————+ 1 row in set (0.00 sec) mysql> SELECT COUNT(DISTINCT( ticker )) FROM surf_eod; +—————————————-+ | COUNT(DISTINCT( ticker )) | +—————————————-+ | 4974 | +—————————————-+ 1 row in set (6.31 sec) mysql> describe surf_eod; +————+——————-+—&mdash

USO is an exchange-traded fund (ETF) that tracks the performance of WTI crude oil futures, allowing individuals to speculate on the direction of oil prices. Investors should carefully consider their investment objectives and be aware of the fund's short-term trading focus.

MetaTrader5 Market Data with Technical Indicators

  Dataset Description

This dataset contains comprehensive financial market data from MetaTrader5 (MT5) on 5 symbols including "XAUUSD", "US30", "BTCUSD", "EURUSD" and "USDJPY" in 7 differents timeframe

  Dataset Summary

Size: 4.2GB Records: ~19.7M rows Format: CSV

  Features

The dataset contains 28 columns with the following structure:

  Basic Market Data

symbol (String): Trading symbol… See the full description on the dataset page: https://huggingface.co/datasets/High-Will/MetaTrader5-Market-Data.

The symbol for US Crude Oil is represented by the ticker symbol 'CL'. Ticker symbols are shorthand codes used to uniquely identify publicly traded stocks or securities on an exchange. The 'CL' symbol is used specifically for the West Texas Intermediate (WTI) crude oil contract, which is the benchmark for oil prices in the United States. By using the ticker symbol 'CL', traders and investors can easily identify and track the price movements of the WTI crude oil contract in the f

Prices for US 100 Tech Index including live quotes, historical charts and news. US 100 Tech Index was last updated by Trading Economics this August 20 of 2025.

Dataset Information

This dataset includes daily price data for various stocks.

  Instruments Included

7000+ US Stocks

  Dataset Columns

symbol: The symbol of the stock. date: The date of the data. open: The opening price of the stock. high: The highest price of the stock. low: The lowest price of the stock. close: The closing price of the stock. volume: The volume of the stock. adj_close: The adjusted closing price of the stock.

  Data Splits

The… See the full description on the dataset page: https://huggingface.co/datasets/paperswithbacktest/Stocks-Daily-Price.

The US Securities Brokerage Market report segments the industry into By Type (Derivatives & Commodities Brokerage, Stock Exchanges, Bonds Brokerage, Equities Brokerage, Other Types), By Mode (Online, Offline), and By Type of Establishment (Exclusive Brokers, Banks, Investment Firms, Other Types of Establishments). Get five years of historical data alongside five-year market forecasts.

This dataset is about stocks. It has 4 rows and is filtered where the company is U.S. Bancorp. It features 8 columns including stock name, company, exchange, and exchange symbol.

Over ********* of the total assets managed by Vanguard's total stock market index fund traded under the ticket symbol VTI was allocated to technology stocks. Consumer discretionary stocks accounted for the second largest portion of assets. The asset allocation of the total stock market index fund was comparable to that of the asset allocation of the S&P 500 index. The S&P 500 is often quoted as a barometer of U.S. market performance. However, as the S&P 500 tracks *** of the largest U.S. companies, it is not inclusive of the performance of small and mid-cap companies. Investors can buy into the total stock market index fund (VTI), for wider market exposure.

The United States Clearing Houses and Settlements Market is Segmented by Type of Market (primary Market and Secondary Market) and Financial Instruments (debt and Equity). The Report Offers Market Size and Forecasts for the United States Clearing Houses and Settlements Market in Value (USD) for all the Above Segments.

This dataset is about stocks. It has 5 rows and is filtered where the company is PayPal US. It features 8 columns including stock name, company, exchange, and exchange symbol.

The CL symbol represents the US Crude Oil futures contract, which is traded on NYMEX and ICE. Learn about its importance, trading specifications, and how investors monitor its price.

Russia's main stock market index, the MOEX, rose to 2898 points on August 22, 2025, gaining 0.50% from the previous session. Over the past month, the index has climbed 2.00% and is up 8.84% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on August of 2025.

The North America Mutual Fund Market is Segmented by Fund Type (Equity, Bond, Hybrid, and More), by Investor Type (Retail, Institutional), by Management Style (Active, Passive), by Distribution Channel (Online Trading Platform, Banks, Securities Firm, Others), and by Country (USA, Canada, Mexico). The Market Forecasts are Provided in Terms of Value (USD).