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.

Prices for United States Stock Market Index (US500) including live quotes, historical charts and news. United States Stock Market Index (US500) was last updated by Trading Economics this December 1 of 2025.

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.

U.S. - Railroad Stock Prices - Historical chart and current data through 1937.

BAJFINANCE OHLCV Data: Multi-Interval Historical Stock Prices (NSE)

Overview

This dataset provides comprehensive historical Open, High, Low, Close, and Volume (OHLCV) data for Bajaj Finance (BAJFINANCE), a prominent Indian stock listed on the National Stock Exchange (NSE). The data has been consolidated from various time intervals (1-minute, 5-minute, 15-minute, and 1-day), offering a granular yet unified view for diverse analytical needs, from high-frequency trading simulations to long-term trend analysis.

Data Source

The raw data was collected programmatically using the Groww API. The specific API endpoint used for fetching charting data is: https://groww.in/v1/api/charting_service/v4/chart/exchange/NSE/segment/CASH. While efforts have been made during data fetching and consolidation to ensure accuracy, please be aware that financial data can sometimes be subject to minor corrections or revisions by data providers.

Dataset Contents

This dataset is provided as a single, unified CSV file (e.g., unified_bajfinance_ohlcv_data.csv), which has been consolidated from multiple original JSON files representing different time intervals (1m, 5m, 15m, 1d).

The unified CSV file contains the following columns:

• timestamp: The human-readable timestamp of the candle, precisely parsed to the second.
• open: The opening price of the stock during that interval.
• high: The highest price reached during that interval.
• low: The lowest price reached during that interval.
• close: The closing price of the stock during that interval.
• volume: The trading volume (number of shares traded) during that interval.

The dataset covers a substantial historical period, and the total number of records will be the sum of records from each interval file.

Potential Use Cases

This dataset can be highly valuable for various applications in quantitative finance and data science, including: * Algorithmic Trading Strategy Development: Backtesting and optimizing trading strategies across different timeframes for BAJFINANCE. * Technical Analysis: Generating charts, calculating technical indicators (e.g., Moving Averages, RSI, MACD, Bollinger Bands) specific to BAJFINANCE. * Machine Learning for Price Prediction: Training models to forecast future stock prices, trends, or volatility for BAJFINANCE. * Market Trend Analysis: Studying short-term and long-term market behavior, liquidity, and price action of Bajaj Finance. * Educational Purposes: A clean, multi-interval dataset ideal for learning and practicing data analysis with financial time series.

Disclaimer

This dataset is provided for informational and educational purposes only. It should not be considered financial advice, investment recommendations, or a solicitation to buy or sell any securities. Trading and investing in financial markets involve significant risk, and past performance is not indicative of future results. Always conduct your own thorough research and consult with a qualified financial advisor before making any investment decisions. The creators of this dataset are not liable for any losses incurred from its use.

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.

China's main stock market index, the SHANGHAI, fell to 3898 points on December 2, 2025, losing 0.42% from the previous session. Over the past month, the index has declined 1.98%, though it remains 15.36% higher than a year ago, 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 December of 2025.

The value of the DJIA index amounted to ****** at the end of June 2025, 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.

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HDFCBANK OHLCV Data: Multi-Interval Historical Stock Prices (NSE)

Overview

This dataset provides comprehensive historical Open, High, Low, Close, and Volume (OHLCV) data for HDFC Bank (HDFCBANK), a prominent Indian stock listed on the National Stock Exchange (NSE). The data has been consolidated from various time intervals (1-minute, 5-minute, 15-minute, and 1-day), offering a granular yet unified view for diverse analytical needs, from high-frequency trading simulations to long-term trend analysis.

Data Source

The raw data was collected programmatically using the Groww API. The specific API endpoint used for fetching charting data is: https://groww.in/v1/api/charting_service/v4/chart/exchange/NSE/segment/CASH. While efforts have been made during data fetching and consolidation to ensure accuracy, please be aware that financial data can sometimes be subject to minor corrections or revisions by data providers.

Dataset Contents

This dataset is provided as a single, unified CSV file (e.g., unified_hdfcbank_ohlcv_data.csv), which has been consolidated from multiple original JSON files representing different time intervals (1m, 5m, 15m, 1d).

The unified CSV file contains the following columns:

• timestamp: The human-readable timestamp of the candle, precisely parsed to the second.
• open: The opening price of the stock during that interval.
• high: The highest price reached during that interval.
• low: The lowest price reached during that interval.
• close: The closing price of the stock during that interval.
• volume: The trading volume (number of shares traded) during that interval.

The dataset covers a substantial historical period, and the total number of records will be the sum of records from each interval file.

Potential Use Cases

This dataset can be highly valuable for various applications in quantitative finance and data science, including: * Algorithmic Trading Strategy Development: Backtesting and optimizing trading strategies across different timeframes for HDFCBANK. * Technical Analysis: Generating charts, calculating technical indicators (e.g., Moving Averages, RSI, MACD, Bollinger Bands) specific to HDFCBANK. * Machine Learning for Price Prediction: Training models to forecast future stock prices, trends, or volatility for HDFCBANK. * Market Trend Analysis: Studying short-term and long-term market behavior, liquidity, and price action of HDFC Bank. * Educational Purposes: A clean, multi-interval dataset ideal for learning and practicing data analysis with financial time series.

Disclaimer

This dataset is provided for informational and educational purposes only. It should not be considered financial advice, investment recommendations, or a solicitation to buy or sell any securities. Trading and investing in financial markets involve significant risk, and past performance is not indicative of future results. Always conduct your own thorough research and consult with a qualified financial advisor before making any investment decisions. The creators of this dataset are not liable for any losses incurred from its use.

In 2025, ** percent of adults in the United States invested in the stock market. This figure has remained steady over the last few years and is still below the levels before the Great Recession, when it peaked in 2007 at ** percent. What is the stock market? The stock market can be defined as a group of stock exchanges where investors can buy shares in a publicly traded company. In more recent years, it is estimated an increasing number of Americans are using neobrokers, making stock trading more accessible to investors. Other investments A significant number of people think stocks and bonds are the safest investments, while others point to real estate, gold, bonds, or a savings account. Since witnessing the significant one-day losses in the stock market during the financial crisis, many investors were turning towards these alternatives in hopes for more stability, particularly for investments with longer maturities. This could explain the decrease in this statistic since 2007. Nevertheless, some speculators enjoy chasing the short-run fluctuations, and others see value in choosing particular stocks.

China Stock Market - Shanghai Composite Index - Historical chart and current data through 2025.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is TRMD-A.CO. The data is about stocks per day.

Argentina's main stock market index, the Merval, rose to 3060289 points on December 1, 2025, gaining 1.12% from the previous session. Over the past month, the index has declined 1.42%, though it remains 33.32% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Argentina. Argentina Stock Market (MERVAL) - values, historical data, forecasts and news - updated on December of 2025.

Common-Stock Time Series for HNA Technology Co Ltd A. HNA Technology Co.,Ltd., through its subsidiaries, engages in electronic product distribution and shipping businesses in China and internationally. The company is involved in the international short-sea and domestic coastal container liner transportation; shipping agency; and freight forwarding activities. It also provides scientific research and technical services; agency services; supply chain management; investment management; logistics and warehousing; and information technology services. The company was formerly known as Tianjin Tianhai Investment Co., Ltd and changed its name to HNA Technology Co.,Ltd. in April 2018. HNA Technology Co.,Ltd. was founded in 1992 and is based in Shanghai, China.

Other-Long-Term-Assets Time Series for Mister Car Wash, Inc. Common Stock. Mister Car Wash, Inc., together with its subsidiaries, provides conveyorized car wash services in the United States. It offers express exterior and interior cleaning services. The company serves individual retail and corporate customers. The company was formerly known as Hotshine Holdings, Inc. and changed its name to Mister Car Wash, Inc. in March 2021. Mister Car Wash, Inc. was founded in 1996 and is headquartered in Tucson, Arizona.

Short-Term-Debt Time Series for Palantir Technologies Inc. Class A Common Stock. Palantir Technologies Inc. builds and deploys software platforms for the intelligence community to assist in counterterrorism investigations and operations in the United States, the United Kingdom, and internationally. It provides Palantir Gotham, a software platform, which enables users to identify patterns hidden deep within datasets, ranging from signals intelligence sources to reports from confidential informants, as well as facilitates the hand-off between analysts and operational users, helping operators plan and execute real-world responses to threats that have been identified within the platform. The company also offers Palantir Foundry, a platform that transforms the ways organizations operate by creating a central operating system for their data; and allows individual users to integrate and analyze the data they need in one place. In addition, it provides Palantir Apollo, a software that delivers software and updates across the business, as well as enables customers to deploy their software virtually in any environment; and Palantir Artificial Intelligence Platform that provides unified access to open-source, self-hosted, and commercial large language models (LLMs) that can transform structured and unstructured data into LLM-understandable objects and can turn organizations' actions and processes into tools for humans and LLM-driven agents. The company was incorporated in 2003 and is headquartered in Denver, Colorado.

Stock Price Time Series for System Support Inc. System Support Holdings Inc. provides various information technology (IT) services in Japan and internationally. It offers Tate Yakusha, a construction work information management system; Shugyo Yakusha, an attendance/work management system; SHIFTEE, a cloud-based shift management system; Voicetant Writer and Voicetant Recorder, which enables voice operation/input; SmartDWH, a cloud-based DWH solution; PinMap that offers customer information mapping service; MOS, a mobile order reception system; PC Keneki Kenchikun, a security check system for safely connecting external devices; ADDPLAT, a data analysis platform; and Smart Rabbit, a food inventory management system for restaurants. The company also provides system consulting/direction, system integration, IT task support, and outsourcing services, as well as ERP, Oracle, cloud, ServiceNow, RPA, infrastructure, virtualization, and workflow solutions. The company was formerly known as System Support Inc. and changed its name to System Support Holdings Inc. in January 2025. System Support Holdings Inc. was incorporated in 1980 and is headquartered in Kanazawa, Japan.

Hong Kong's main stock market index, the HK50, rose to 26095 points on December 2, 2025, gaining 0.24% from the previous session. Over the past month, the index has declined 0.24%, though it remains 32.15% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Hong Kong. Hong Kong Stock Market Index (HK50) - values, historical data, forecasts and news - updated on December of 2025.

Other-Stockholder-Equity Time Series for DoorDash, Inc. Class A Common Stock. DoorDash, Inc., together with its subsidiaries, operates a commerce platform that connects merchants, consumers, and independent contractors in the United States and internationally. The company operates DoorDash Marketplace and Wolt Marketplace, which provide various services, such as customer acquisition, demand generation, order fulfillment, merchandising, payment processing, and customer support. It also offers membership programs, including DashPass and Wolt+; and DoorDash Drive On-Demand and Wolt Drive, which are white-label delivery fulfillment services, as well as provides services that help merchants establish online ordering, build branded mobile apps, enable tableside order and pay, and enhance customer support. The company was formerly known as Palo Alto Delivery Inc. and changed its name to DoorDash, Inc. in 2015. DoorDash, Inc. was founded in 2013 and is headquartered in San Francisco, California.

Historical dataset of the 12 month LIBOR rate back to 1986. The London Interbank Offered Rate is the average interest rate at which leading banks borrow funds from other banks in the London market. LIBOR is the most widely used global "benchmark" or reference rate for short term interest rates.