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.

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.

📈 eBay Stock Price Dataset (1998 - 2025) 🛒💰

📌 Overview

This dataset provides historical stock prices of eBay Inc. (EBAY) from 1998 to the 2025. It includes key stock market data such as Open, High, Low, Close, Adjusted Close, and Volume, making it useful for financial analysis, stock market research, and predictive modeling.

🔹 Ticker Symbol: EBAY
🔹 Date Range: 1998 - Present
🔹 Dataset Type: Time Series Data

📊 Dataset Features

🎯 Why Use This Dataset?

✅ Stock Market Analysis – Identify trends in eBay’s stock price
✅ Machine Learning & AI – Train models for stock price prediction
✅ Financial Research – Study historical patterns and volatility
✅ Time Series Forecasting – Analyze long-term trends and patterns

📢 Credits

This dataset has been extracted from Yahoo Finance and processed to remove unnecessary columns while retaining core stock market data.

Explore and analyze eBay’s stock history! 🚀📊

Indonesia's main stock market index, the JCI, rose to 8617 points on December 2, 2025, gaining 0.80% from the previous session. Over the past month, the index has climbed 4.13% and is up 19.75% 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 December of 2025.

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

About Dataset:

This dataset includes the daily historical stock prices for Google (GOOGL) spanning from 2020 to 2025. It features essential financial metrics such as opening and closing prices, daily highs and lows, adjusted close prices, and trading volumes. The information offers valuable insights into the stock's performance over a five-year timeframe.

Column Descriptions:

• Price: Date of the stock data (needs cleaning as the first two rows are headers).
• Adj Close: Adjusted closing price, accounting for events like dividends and splits.
• Close: Closing price of the stock at the end of the trading day.
• High: Highest price of the stock during the trading day.
• Low: Lowest price of the stock during the trading day.
• Open: Opening price of the stock at the start of the trading day.
• Volume: Number of shares traded during the day.

What Can You Achieve and Apply on This Data:

• Time Series Analysis: Examine trends and patterns over time.
• Stock Price Prediction: Use machine learning models to forecast future prices.
• Volatility Analysis: Measure the stock's price fluctuations.
• Technical Analysis: Calculate indicators like moving averages, RSI, and MACD.
• Correlation Analysis: Investigate the relationship between volume and price changes.
• Investment Strategy Backtesting: Test trading strategies like moving average crossovers.

Note: 1. This data is scraped from Yahoo Finance by me using python code. 2. Some of the About Data is generated from AI, but verified from me.

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.

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.

Historical data of the Taiwan Stock Exchange Weighted Index

This dataset provides comprehensive historical stock price data for Apple Inc. (AAPL) from 1980 to 2024. It offers invaluable insights for financial analysts, data scientists, and investors interested in studying Apple's stock performance, market trends, and potential investment strategies.

The data reflects Apple's stock performance over more than four decades, capturing significant events in the company's history.

The dataset includes over 10,000 daily records with the following columns:

Date: The date of the trading day. Open: The price of the stock at market open. High: The highest price reached during the trading day. Low: The lowest price reached during the trading day. Close: The price of the stock at market close. Adj Close: The closing price adjusted for dividends and stock splits. Volume: The total number of shares traded during the day.

Potential Use Cases:

-Financial Analysis: Analyzing stock price trends, volatility, and correlations.

-Predictive Modeling: Building models to forecast future stock prices, identify trading opportunities, or assess risk.

-Quantitative Trading: Developing algorithmic trading strategies based on historical data patterns.

-Research and Education: Studying market behaviour, economic indicators, and corporate events that impact stock prices.

Note: This dataset is intended for educational and research purposes. It is recommended to consult with a financial advisor before making any investment decisions based on this data.

France's main stock market index, the FR40, rose to 8121 points on December 2, 2025, gaining 0.29% from the previous session. Over the past month, the index has climbed 0.13% and is up 11.93% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from France. France Stock Market Index (FR40) - values, historical data, forecasts and news - updated on December of 2025.

Stock Price Time Series for .

Israel's main stock market index, the TA-125, rose to 3538 points on December 2, 2025, gaining 1.75% from the previous session. Over the past month, the index has climbed 4.40% and is up 50.06% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Israel. Israel Stock Market (TA-125) - values, historical data, forecasts and news - updated on December of 2025.

Spain's main stock market index, the ES35, rose to 16493 points on December 2, 2025, gaining 0.63% from the previous session. Over the past month, the index has climbed 2.84% and is up 38.90% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Spain. Spain Stock Market Index (ES35) - 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.

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.

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

Sale-Or-Purchase-of-Stock Time Series for Equifax Inc. Equifax Inc. operates as a data, analytics, and technology company. The company operates through three segments: Workforce Solutions, U.S. Information Solutions (USIS), and International. The Workforce Solutions segment offers services that enables customers to verify income, employment, educational history, criminal justice data, healthcare professional licensure, and sanctions of people in the United States; and employer customers with services that that assist them in complying with and automating certain payroll-related and human resource management processes throughout the entire cycle of the employment relationship. The U.S. Information Solutions segment provides consumer and commercial information services, such as credit information and credit scoring, credit modeling and portfolio analytics, locate, fraud detection and prevention, identity verification, and other consulting services; mortgage services; financial marketing services; identity management services; and credit monitoring products. The International segment offers information service products, which include consumer and commercial services, such as credit and financial information, and credit scoring and modeling; and credit and other marketing products and services, as well as offers information, technology, and services to support debt collections and recovery management. It also provides information solutions for businesses, governments and consumers; and human resources business process automation and outsourcing services for employers.It operates in Argentina, Australia, Brazil, Canada, Chile, Costa Rica, Dominican Republic, Ecuador, El Salvador, Honduras, India, Ireland, Mexico, New Zealand, Paraguay, Peru, Portugal, Spain, the United Kingdom, Uruguay, and the United States. The company was founded in 1899 and is headquartered in Atlanta, Georgia.

Germany's main stock market index, the DE40, rose to 23722 points on December 2, 2025, gaining 0.56% from the previous session. Over the past month, the index has declined 1.70%, though it remains 18.51% higher than a year ago, 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 December of 2025.