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, fell to 6650 points on October 14, 2025, losing 0.07% from the previous session. Over the past month, the index has climbed 0.53% and is up 14.36% 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 October of 2025.

Overview

20 years of historical US stock prices from AMEX, Nasdaq and NYSE markets with data for 7000+ stocks.

Content

There are four files in this dataset:

1. dataset_summary.csv: Summary table for all stocks in this dataset.
2. earnings_latest.csv: Earnings data for each stock with earnings date, estimated EPS and reported EPS.
3. stock_prices.csv: Daily stock price data with open, close, low, high, trading volumes and adjusted closing prices as well as stock split coefficient.
4. dividends_latest.csv: Dividend data for each stock with dividend date.

Updates

I'm updating the data in batches, so don't expect that all stocks will have prices up to the same date. It could take up to two weeks for individual stocks to catch up. I'll try to upload updated data at least once a month.

Data sources

The data was scraped from different data sources:

• Nasdaq
• Yahoo Finance
• Zacks
• Alpha Vantage

Updated daily, this data feed offers end of day prices for major US publicly traded stocks with history more than 20 years. Prices are provided both adjusted and unadjusted.

Key Features:

Covers all stocks with primary listing on NASDAQ, AMEX, NYSE and ARCA. Includes unadjusted and adjusted open, high, low, close, volume. Includes dividend history and split history. Updated at or before 5:00pm ET on all trading days. Exchange corrections are applied by 9:30pm ET.

NYSE - Preferred Stock Prices - Historical chart and current data through 1923.

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

The main stock market index of United States, the US500, rose to 6497 points on September 8, 2025, gaining 0.24% from the previous session. Over the past month, the index has climbed 1.94% and is up 18.76% 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 September of 2025.

Note

Fixed full version - https://www.kaggle.com/jacksoncrow/stock-market-dataset

Japan's main stock market index, the JP225, fell to 46858 points on October 14, 2025, losing 2.56% from the previous session. Over the past month, the index has climbed 4.36% and is up 17.41% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on October 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.

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

Indonesia's main stock market index, the JCI, fell to 8124 points on October 14, 2025, losing 1.26% from the previous session. Over the past month, the index has climbed 2.35% and is up 6.51% 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 October of 2025.

Graph and download economic data for Index of Stock Prices for Germany (M1123ADEM324NNBR) from Jan 1870 to Dec 1913 about stock market, Germany, and indexes.

Context

Getting Google Trends data for a large number of stocks can be tedious, so I've compiled Google Trends history for 4000+ stocks since 2004 in a quick, easy-to-use format for anyone who needs it.

Content

Every column other than "date" represents a ticker and its search volume from a range from 0-100, 0 being the least volume it has ever gotten and 100 being the most volume it has gotten for stock search history.

Acknowledgements

Pytrends was used for getting the trends data and yfinance was used for getting stock prices.

Inspiration

Can a stock's Google search volume be used to profitably make investment decisions?

View Refinitiv's New York Stock Exchange (NYSE) Market Data and benefit from full-depth market-by-price data, available as real-time and historical records.

MercadoLibre (MELI) Stock Price Dataset (2007-2025)

📌 Dataset Overview

This dataset contains historical stock market data for MercadoLibre (MELI) from August 10, 2007, to March 16, 2025. It provides key financial indicators such as Open, High, Low, Close (OHLC) prices, Adjusted Close prices, and Trading Volume for each trading day.

📊 Features

The dataset includes the following columns:

📈 Possible Use Cases

This dataset is valuable for: - Stock Market Analysis: Analyze trends in MercadoLibre's stock performance over time. - Time Series Forecasting: Build machine learning models to predict future stock prices. - Technical Analysis: Identify patterns using OHLC data for trading strategies. - Financial Research: Study the impact of macroeconomic factors on stock prices.

🔍 Data Source

The dataset is compiled from stock market historical data sources and is updated Weekly.

🏷️ Keywords (SEO Optimized)

• MercadoLibre stock data
• MELI stock price history
• Stock market dataset
• Financial time series data
• OHLC stock prices
• Trading volume dataset
• Machine learning stock prediction

📥 Download & Usage

You can download the dataset and use it for research, trading analysis, and machine learning models. If you find this dataset useful, consider giving it a ⭐ on Kaggle!

Contect info:

You can contect me for more data sets

-E_mail

-Linkdin

-Kaggle

-X

-Github

📢 Note: This dataset is for educational and research purposes only. It should not be considered financial advice.

Graph and download economic data for Dow-Jones Industrial Stock Price Index for United States (M1109BUSM293NNBR) from Dec 1914 to Dec 1968 about stock market, industry, price index, indexes, price, and USA.

U.S. Earnings Yield - NYSE Stocks - Historical chart and current data through 1938.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

LON:STG Stock: The Stock Market Bubble Is About to Burst

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

NYSE - Value of Shares Sold - Historical chart and current data through 1920.