The main stock market index of United States, the US500, rose to 7160 points on April 24, 2026, gaining 0.73% from the previous session. Over the past month, the index has climbed 8.62% and is up 29.59% 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 April of 2026.

The value of the DJIA index amounted to ********* at the end of February 2026, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

The main stock market index of United States, the US500, rose to 7134 points on April 24, 2026, gaining 0.35% from the previous session. Over the past month, the index has climbed 8.22% and is up 29.11% 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 April of 2026.

The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

The US Stock Market Historical Dataset contains past trading data of major companies listed on prominent American stock exchanges such as the New York Stock Exchange (NYSE) and NASDAQ. This dataset typically includes daily records of stock prices such as Open, High, Low, Close (OHLC) values, trading Volume, and sometimes Adjusted Close prices.

It provides long-term historical data that helps analysts study market trends, price movements, volatility, and investment performance over time. The dataset may cover large-cap companies, including firms listed in the S&P 500, as well as technology-focused stocks from the NASDAQ Composite.

This dataset is widely used for:

• 📈 Financial analysis and forecasting
• 🤖 Machine learning model training
• 📊 Time series analysis
• 💼 Investment strategy development
• 📉 Risk management and portfolio optimization

Researchers, students, and financial professionals use this dataset to understand historical market behavior, compare company performance, and predict future trends based on past patterns. It is a valuable resource for anyone working in finance, data science, or economic research.

China's main stock market index, the SHANGHAI, fell to 4080 points on April 24, 2026, losing 0.33% from the previous session. Over the past month, the index has climbed 3.77% and is up 23.82% 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 April of 2026.

Overview

This dataset provides historical daily stock price data for the 20 largest financial companies and major global stock indices. It is designed for financial analysis, market trend exploration, and correlation studies. The dataset includes stock price history for the past 1 year for financial companies and for stock indices.

Contents

The dataset consists of multiple CSV files:
1. Stock data files (stock_JPM.csv, stock_BAC.csv, etc.) – Each file contains daily price data for a specific financial company.
2. indices.csv – A merged dataset containing daily closing prices for major stock indices.

Dataset Structure

1. Stock Data Files (stock_JPM.csv, stock_BAC.csv, etc.)

Each stock file contains the following columns:
- Date – Trading day’s closing date (YYYY-MM-DD format).
- Open – Opening price of the stock.
- High – Highest price during the trading day.
- Low – Lowest price during the trading day.
- Close – Closing price of the stock.
- Volume – Number of shares traded.

Removed Columns:
- Dividends – Removed to focus on price movements.
- Stock Splits – Removed as it does not impact short-term trading analysis.

Each file represents a single company’s daily stock performance over the past 365 days.

2. Stock Indices File (indices.csv)

This file contains historical daily closing prices for major global stock indices over the past six months.

Columns:
- Date – Trading day’s closing date (YYYY-MM-DD format).
- GSPC – S&P 500 Index.
- IXIC – NASDAQ Composite Index.
- DJI – Dow Jones Industrial Average (DJIA).
- RUT – Russell 2000 Index.
- GDAXI – DAX Index (Germany).
- FTSE – FTSE 100 Index (United Kingdom).
- FCHI – CAC 40 Index (France).
- HSI – Hang Seng Index (Hong Kong).
- N225 – Nikkei 225 Index (Japan).
- BSESN – BSE Sensex Index (India).
- BVSP – Bovespa Index (Brazil).

Key Adjustments:
- The ticker for S&P 500 (^GSPC) has been renamed to GSPC to avoid special characters.
- The file does not include separate index files, only the merged dataset.
- Missing values are forward-filled to maintain continuity in time series analysis.

Data Sources & Processing

• Stock and index data were collected and processed using the Yahoo Finance API.
• The dataset was prepared with equity_analysis, a custom module developed for efficient equity data retrieval.
• The data updates cover:
  • Financial companies: Last 365 days of daily price data.
  • Stock indices: Last 180 days of daily closing prices.

Potential Use Cases

This dataset is valuable for:
✅ Stock Market Analysis – Studying price trends, volatility, and historical market behavior.
✅ Financial Modeling – Training machine learning models for market prediction.
✅ Portfolio Optimization – Analyzing the correlation between different financial assets.
✅ Comparing Global Markets – Investigating relationships between US, European, and Asian indices.
✅ Backtesting Trading Strategies – Using historical price data for algorithmic trading strategies.

Technical Details

• File format: CSV (comma-separated values)
• Date format: YYYY-MM-DD
• Data interval: Daily
• Timezone: UTC (without timezone adjustments)
• Size: Varies depending on the number of records

Final Notes

• The dataset is regularly updated with the latest stock and index data.
• It is intended for educational and research purposes only, not for real-time trading decisions.
• Future improvements may include additional financial indicators, sentiment analysis, or alternative data sources.

🚀 Use this dataset to explore market trends, build models, and gain financial insights!

New York Stock Exchange: Index: Dow Jones US Broad Stock Market Index data was reported at 15,419.630 NA in Mar 2026. This records a decrease from the previous number of 16,240.730 NA for Feb 2026. New York Stock Exchange: Index: Dow Jones US Broad Stock Market Index data is updated monthly, averaging 7,657.050 NA from Aug 2013 (Median) to Mar 2026, with 152 observations. The data reached an all-time high of 16,348.050 NA in Jan 2026 and a record low of 4,067.650 NA in Aug 2013. New York Stock Exchange: Index: Dow Jones US Broad Stock Market 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: Dow Jones: Monthly.

View monthly updates and historical trends for S&P 500 3 Month Return (DISCONTINUED). from United States. Source: Standard and Poor's. Track economic data…

This dataset contains 184,138 daily stock market records for 120 leading US publicly traded companies, spanning 9 major economic sectors. Each record represents one trading day per company and includes essential OHLCV (Open, High, Low, Close, Adjusted Close, Volume) features used extensively in financial analysis, time-series forecasting, quantitative trading, and AI/ML research.

The dataset is clean, complete, and free of missing values, making it ideal for both educational and production-level projects.

🔍 Use cases include:

• 📊 Exploratory Data Analysis (EDA)
• 📈 Time Series Forecasting (ARIMA, LSTM, Prophet)
• 🤖 Machine Learning & Deep Learning models
• 💹 Portfolio analysis & sector comparison
• 🧠 AI-driven financial research and feature engineering

This dataset is especially valuable for multi-stock modeling, sector-wise trend analysis, and cross-company comparisons.

🧩 Column Descriptions (One Line Each)

• Date – Trading date of the stock record.
• Ticker – Stock market ticker symbol (e.g., AAPL, MSFT, TSLA).
• Company_Name – Full registered name of the company.
• Sector – Economic sector the company belongs to (9 total).
• Industry – Specific industry classification of the company.
• Open – Stock price at market opening.
• High – Highest stock price during the trading day.
• Low – Lowest stock price during the trading day.
• Close – Stock price at market close.
• Adj_Close – Closing price adjusted for splits and dividends.
• Volume – Total number of shares traded during the day.

📊 Dataset Summary

• Rows: 184,138
• Columns: 11
• Companies: 120
• Sectors: 9
• Missing Values: None
• Memory Size: ~15.5 MB

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 April 24 of 2026.

Graph and download economic data for Index of Common Stock Prices, New York Stock Exchange for United States (M11007USM322NNBR) from Jan 1902 to May 1923 about stock market, New York, indexes, and USA.

Dataset Overview

This dataset contains comprehensive stock market data for June 2025, capturing daily trading information across multiple companies and sectors. The dataset represents a substantial collection of market data with detailed financial metrics and trading statistics.

Basic Dataset Information

• Time Period: June 1-21, 2025 (21 trading days)
• Total Records: Approximately 11,600+ entries
• Companies Covered: 500+ unique stocks
• Data Type: Daily stock market trading data with fundamental metrics

Markdown Table Format

Column Name	Data Type	Description	Example Values
Date	Date	Trading date in DD-MM-YYYY format	01-06-2025, 02-06-2025
Ticker	String	Stock ticker symbol (3-4 characters)	AAPL, GOOGL, TSLA
Open Price	Float	Opening price of the stock	34.92, 206.5, 125.1

Dataset Information Table

Dataset Overview

Attribute	Details
Dataset Name	Stock Market Data - June 2025
File Format	CSV
File Size	~2.5 MB
Number of Records	11,600+
Number of Features	13
Time Period	June 1-21, 2025

Data Schema

Column Name	Data Type	Description	Example Values
Date	Date	Trading date in DD-MM-YYYY format	01-06-2025, 02-06-2025
Ticker	String	Stock ticker symbol (3-4 characters)	AAPL, GOOGL, TSLA, SLH
Open Price	Float	Opening price of the stock	34.92, 206.5, 125.1
Close Price	Float	Closing price of the stock	34.53, 208.45, 124.03
High Price	Float	Highest price during the trading day	35.22, 210.51, 127.4
Low Price	Float	Lowest price during the trading day	34.38, 205.12, 121.77
Volume Traded	Integer	Number of shares traded	2,966,611, 1,658,738
Market Cap	Float	Market capitalization in dollars	57,381,363,838.88
PE Ratio	Float	Price-to-Earnings ratio	29.63, 13.03, 29.19
Dividend Yield	Float	Dividend yield percentage	2.85, 2.73, 2.64
EPS	Float	Earnings per Share	1.17, 16.0, 4.25
52 Week High	Float	Highest price in the last 52 weeks	39.39, 227.38, 138.35
52 Week Low	Float	Lowest price in the last 52 weeks	28.44, 136.79, 100.69
Sector	String	Industry sector classification	Industrials, Energy, Healthcare

Market Capitalization Tiers

• Mega Cap (>$1T): 6 companies (AAPL, MSFT, NVDA, AMZN, GOOGL, META)
• Large Cap ($200B-$1T): 28 companies
• Mid Cap ($50B-$200B): 47 companies

Key Market Characteristics

Price Volatility by Sector

• Technology: Higher volatility (±3.5% daily range)
• Energy: High volatility (±4.0% daily range)
• Utilities: Lower volatility (±1.5% daily range)
• Healthcare/Financials: Moderate volatility (±2.5% daily range)

Trading Volume Patterns

• Mega Cap: 25M - 90M shares daily
• Large Cap: 8M - 35M shares daily
• Mid Cap: 2M - 15M shares daily
• Small Cap: 500K - 5M shares daily

Financial Metrics Distribution

• Average P/E Ratio: 25.9 (market-wide)
• Average Dividend Yield: 1.25%
• Price Range: $19 (T) to $3,850 (BKNG)
• EPS Range: $1.50 to $70.00

Notable Market Features

High-Value Stocks

• BKNG (Booking Holdings): $3,650-$3,850 range
• AVGO (Broadcom): $1,650-$1,750 range
• REGN (Regeneron): $1,050-$1,150 range
• LLY (Eli Lilly): $920-$980 range

High-Dividend Yielders

• T (AT&T): 7.1% dividend yield
• VZ (Verizon): 6.2% dividend yield
• PFE (Pfizer): 5.8% dividend yield

Growth & Technology Leaders

• NOW (ServiceNow): P/E ratio of 85
• NVDA (NVIDIA): P/E ratio of 45
• TSLA (Tesla): P/E ratio of 55

Data Quality & Realism Features

✅ Authentic Price Ranges: Based on realistic 2025 market projections ✅ Sector-Appropriate Volatility: Different volatility patterns by industry ✅ Correlated Metrics: P/E ratios, dividend yields, and EPS align with market caps ✅ Realistic Trading Volumes: Volume scaled appropriately to market cap ✅ Temporal Consistency: Logical price progression over 53-day period ✅ Market Cap Accuracy: Daily fluctuations reflect actual price movements

Intended Use Cases

• Financial Analysis & Modeling: Portfolio optimization, risk assessment
• Machine Learning Applications: Predictive modeling, algorithmic trading
• Educational Purposes: Finance courses, data science training
• Algorithm Development: Backtesting trading strategies
• Market Research: Sector analysis, correlation studies
• Visualization Projects: Interactive dashboards, market trend analysis

This dataset provides a comprehensive foundation for quantitative finance research, offering both breadth across market sectors and depth in daily trading dynamics while maintaining statistical realism throughout the observation period...

View monthly updates and historical trends for S&P 500 Monthly Return (DISCONTINUED). from United States. Source: Standard and Poor's. Track economic data…

View monthly updates and historical trends for S&P 500 12 Month Total Return (DISCONTINUED). from United States. Source: Standard and Poor's. Track econom…

Overview

This dataset contains historical daily prices for all tickers currently trading on NASDAQ. The up to date list is available from nasdaqtrader.com. The historic data is retrieved from Yahoo finance via yfinance python package.

It contains prices for up to 01 of April 2020. If you need more up to date data, just fork and re-run data collection script also available from Kaggle.

Data Structure

The date for every symbol is saved in CSV format with common fields:

• Date - specifies trading date
• Open - opening price
• High - maximum price during the day
• Low - minimum price during the day
• Close - close price adjusted for splits
• Adj Close - adjusted close price adjusted for both dividends and splits.
• Volume - the number of shares that changed hands during a given day

All that ticker data is then stored in either ETFs or stocks folder, depending on a type. Moreover, each filename is the corresponding ticker symbol. At last, symbols_valid_meta.csv contains some additional metadata for each ticker such as full name.

Stock market index in the USA, February, 2026 The most recent value is 217.92 points as of February 2026, an increase compared to the previous value of 212.01 points. Historically, the average for the USA from January 1960 to February 2026 is 47.1 points. The minimum of 2.98 points was recorded in June 1962, while the maximum of 217.92 points was reached in February 2026. | TheGlobalEconomy.com

New York Stock Exchange: Index: Dow Jones US Large Cap Value Total Stock Market Index data was reported at 8,685.580 NA in Mar 2026. This records a decrease from the previous number of 9,156.690 NA for Feb 2026. New York Stock Exchange: Index: Dow Jones US Large Cap Value Total Stock Market Index data is updated monthly, averaging 5,547.680 NA from Aug 2013 (Median) to Mar 2026, with 152 observations. The data reached an all-time high of 9,156.690 NA in Feb 2026 and a record low of 3,460.270 NA in Aug 2013. New York Stock Exchange: Index: Dow Jones US Large Cap Value Total Stock Market 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: Dow Jones: Monthly.

Germany's main stock market index, the DE40, rose to 24219 points on April 24, 2026, gaining 0.26% from the previous session. Over the past month, the index has climbed 5.50% and is up 8.89% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Germany. Germany Stock Market Index (DE40) - values, historical data, forecasts and news - updated on April of 2026.