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.

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.

2084Collective/deepstock-stock-historical-prices-dataset-processed dataset hosted on Hugging Face and contributed by the HF Datasets community

This comprehensive dataset curated by Stocksphi presents the 1-minute interval historical stock data for Apple Inc. (AAPL) spanning from 2006 to 2024. The dataset encapsulates key metrics such as opening price, high price, low price, closing price, adjusted close price, and trading volume for each minute of trading throughout this extensive period.

Insights and Applications:

Intraday Analysis: Delve into the intricate price movements and trading dynamics of AAPL stock on a minute-by-minute basis, gaining insights into short-term trends and patterns. Algorithmic Trading: Utilize the dataset to develop and backtest algorithmic trading strategies tailored for intraday trading, leveraging historical price and volume data. Quantitative Analysis: Conduct quantitative analysis to explore statistical properties, correlations, and anomalies within the dataset, facilitating data-driven decision-making. Financial Modeling: Employ the dataset for constructing predictive models and forecasting AAPL stock behavior at a fine-grained temporal resolution. Academic Research: Serve as a valuable resource for academic research in finance, enabling scholars to investigate market microstructure, liquidity dynamics, and other relevant topics. This meticulously curated dataset offers a wealth of information and opportunities for quantitative analysis, strategy development, financial research, and more, empowering traders, analysts, researchers, and enthusiasts to unlock valuable insights and enhance their understanding of AAPL stock dynamics over nearly two decades.

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

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.

Gold fell to 4,199.97 USD/t.oz on December 2, 2025, down 0.75% from the previous day. Over the past month, Gold's price has risen 4.93%, and is up 58.92% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Gold - values, historical data, forecasts and news - updated on December of 2025.

📊 NIFTY500 Stocks Data

Get comprehensive historical stock data for the NIFTY 500 index! 📈 This dataset includes stock prices at various time intervals for each NIFTY 500 company, organized into Excel files.

📁 File Naming Convention

• Files named by NSE code, e.g., RELIANCE.xlsx

📜 Data Description

Each sheet in an Excel file contains: - 📅 Date: Date and time - 🏦 Open: Opening price - 📈 High: Highest price - 📉 Low: Lowest price - 🔒 Close: Closing price - 🔄 Volume: Shares traded

🎯 Usage

Ideal for: - Financial analysts 📊 - Data scientists 🤖 - Market researchers 🔍 Analyze stock trends, develop trading strategies, or conduct research with varied timeframes for both long-term and short-term analysis.

📝 Licensing

• MIT License: Free to use for any purpose, even commercially 🌐

📥 How to Access

1. Download from Kaggle ⬇️
2. Unzip the file 🗂️
3. Open Excel files to explore 📂

Happy analyzing! 📊🚀

Description:

Empowering Indian Investors: NSE's Historical Yearly Financial Ratios for 1800 Stocks with Predictive Modeling and Strategy Backtesting

Financial data is the lifeblood of investment analysis and decision-making, and for Indian investors navigating the dynamic National Stock Exchange (NSE), access to comprehensive and tailored datasets is crucial. The NSE 1800 Stocks Historical Yearly Financial Ratios dataset is a valuable resource designed to empower Indian investors, analysts, and financial professionals with the essential financial information needed for predictive modeling and strategy backtesting within the context of the Indian stock market.

Motivation:

The Indian stock market presents unique opportunities and challenges. The motivation behind this dataset is to provide Indian investors with a robust financial dataset that enables them to perform predictive modeling and strategy backtesting independently. It aims to streamline the analysis process, promote data-driven decision-making, and enhance the understanding of Indian stock market dynamics.

Context:

Understanding the financial performance of Indian companies is fundamental for Indian investors, and this dataset offers a wealth of historical financial metrics and ratios for 1800 stocks listed on the NSE. It is distinguished by the ability to:

1 Perform Predictive Modeling: Users can leverage this dataset to build their predictive models tailored to the Indian market's unique characteristics. These models can assist investors in forecasting financial metrics, stock prices, and market trends specific to the Indian context.

2 Conduct Strategy Backtesting: Indian investors can independently test their investment strategies using historical data from the NSE. This dataset serves as the foundation for users to assess the performance of their strategies while considering factors such as Indian economic cycles, regulatory changes, and market dynamics.

3 Evaluate Financial Health: Users can assess the financial stability, profitability, and operational efficiency of Indian companies by utilizing a comprehensive collection of historical financial ratios and metrics.

4 Support Informed Decision-Making: By providing access to the historical financial data of 1800 stocks listed on the NSE, this dataset equips Indian investors with the information needed to make well-informed investment decisions, navigate the Indian stock market, and manage their portfolios effectively.

In summary, the NSE 1800 Stocks Historical Yearly Financial Ratios for Predictive Modeling and Strategy Backtesting (Tailored for Indian Investors) dataset is a robust resource that empowers Indian investors to independently perform predictive modeling and strategy backtesting. It serves as a foundational dataset to support data-driven investment decisions within the unique context of the Indian stock market. Whether you are an Indian investor, analyst, or financial professional, this dataset equips you with the financial data needed to enhance your investment strategies and decision-making.

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.

Real M1 Money Stock - Historical chart and current data through 2025.

Dataset

This dataset was created by Mustafashoukat

Released under CC0: Public Domain

Contents

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.

New York Stock Exchange - Stock Prices - Historical chart and current data through 1923.

Common-Stock Time Series for Texas Roadhouse Inc. Texas Roadhouse, Inc., together with its subsidiaries, operates casual dining restaurants in the United States and internationally. It operates through Texas Roadhouse, Bubba's 33, and Other segments. The company also operates and franchises restaurants under the Texas Roadhouse, Bubba's 33, and Jaggers brands. Texas Roadhouse, Inc. was founded in 1993 and is based in Louisville, Kentucky.

Common-Stock Time Series for Actions Technology Co Ltd. Actions Technology Co., Ltd., a fabless semiconductor company, engages in the research, production, and sale of audio SoC and integrated chips in China. It offers chips for smart watches; bluetooth headsets and speakers; home audio; wireless transceiver and dongels; portable audio and video products; edge AI processor applications; and wireless IoT devices. The company was incorporated in 2014 and is headquartered in Zhuhai, China.

Common-Stock Time Series for ASRock Inc. ASROCK Incorporation designs, develops, and sells motherboards in Asia, Europe, America, and internationally. The company also offers graphic cards, gaming monitors, power supply, servers/WS, and mini and industrial PCs. In addition, it engages in the service of computer software; and rental of office buildings. ASROCK Incorporation was founded in 2002 and is headquartered in Taipei, Taiwan.

Sale-Or-Purchase-of-Stock Time Series for PTC Inc. PTC Inc. operates as software company in the Americas, Europe, and the Asia Pacific. The company provides Windchill, a suite that manages all aspects of the product development lifecycle(PLM) that provides real-time information sharing, dynamic data visualization, collaborate across geographically distributed teams, and enabling manufacturers to elevate product development, manufacturing, field service, and end-of-life processes; ThingWorx, an Industrial Internet of Things software; ServiceMax, a service lifecycle management solutions enable companies to asset uptime with optimized in-person and remote service and technician productivity with mobile tools, and deliver metrics; and Arena, a SaaS PLM solution enables product teams to collaborate virtually to share product and quality information with internal teams and supply chain partners and deliver products to customers. It offers Codebeamer, an application lifecycle management for products and software development; Servigistics, a service parts management solution; and FlexPLM, a platform for merchandising and line planning, materials management, sampling, and others. In addition, it offers Kepware, an enterprise industrial connectivity solution; Creo, a 3D CAD technology enables the digital design, testing, and modification of product models; and Onshape, a SaaS product development platform that delivers computer-aided design with data management, collaboration tools, and real-time analytics. Further, it offers Vuforia, an augmented reality (AR) software; and Arbortext, a dynamic publishing solution streamlines how organizations create, manage, and publish technical documentation. PTC Inc. was incorporated in 1985 and is headquartered in Boston, Massachusetts.

Common-Stock Time Series for Marsh & McLennan Companies Inc. Marsh & McLennan Companies, Inc., a professional services company, provides advisory services and insurance solutions to clients in the areas of risk, strategy, and people worldwide. It operates through Risk and Insurance Services, and Consulting segments. The Risk and Insurance Services segment offers risk management services, such as risk advice, risk transfer, and risk control and mitigation solutions, as well as insurance and reinsurance broking, strategic advisory services, and analytics solutions, and insurance program management services. It serves businesses, public entities, insurance companies, associations, professional services organizations, and private clients. The Consulting segment provides health, wealth and career advice, solutions and products; and specialized management, strategic, economic, and brand consulting services. Marsh & McLennan Companies, Inc. was founded in 1871 and is headquartered in New York, New York.

Common-Stock Time Series for Spearhead Integrated Marketing. FS Development Investment Holdings provides marketing services in China. It offers content, private, and meta universe marketing services. The company was formerly known as Spearhead Integrated Marketing Communication Group. The company was founded in 2003 and is based in Beijing, China.