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.

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 New York, stock market, indexes, and USA.

The datasets contain historical stock or futures prices for my personal projects and learning purposes. The equity classification and data source are mainly from Yahoo Finance, Google Finance, or Nasdaq with API access. So you can practice EAD or predictive analysis on your own and assume the dataset structure will not change so much when used in the same platform later. In short, please do not contact me privately for recently updated data. Below is the breakdown for every file, as all came from different sources.

Stock prices

• StockScreener.xlsm
• all_stocks_5yr.csv
• df_featured.csv

Wiki futures

• CHRIS_metadata.csv
• metadata.csv
• StockScreener.xlsm

Sharadar

• Sharadar_Equity_open.xlsx

Chart Industries stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

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.

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.

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

Prices for United States Stock Market Index (US5000) including live quotes, historical charts and news. United States Stock Market Index (US5000) was last updated by Trading Economics this December 2 of 2025.

Graph and download economic data for Dow-Jones Industrial Stock Price Index for United States (M1109AUSM293NNBR) from Jan 1897 to Sep 1916 about stock market, industry, price index, indexes, price, and USA.

An oil stock price chart is a graphical representation of the historical prices of an oil company's stock. It provides valuable information for investors, analysts, and traders to analyze trends, patterns, and fluctuations in the stock's value over time. This article explains the importance of oil stock price charts, the key aspects to consider when analyzing them, and the various time frames available for viewing. It emphasizes the need to use charts in conjunction with comprehensive research and

Description

This project involves collecting and analyzing financial data for Electronic Arts (EA) using the Alpha Vantage API. The data includes historical stock prices, dividend payments, and stock splits. The project aims to provide a detailed view of EA’s financial performance and corporate actions over time.

Detail

The project consists of three main datasets:

1) Stock Price Data: Daily records of EA’s stock prices, including opening, high, low, and closing prices, as well as trading volume.

2) Dividend Data: Historical records of dividend payments by EA, detailing declaration dates, record dates, payment dates, and dividend amounts.

3) Stock Split Data: Records of stock split events, showing the date of each split and the split ratio.

The data is sourced from the Alpha Vantage API, which provides comprehensive financial market data. The datasets are cleaned and formatted to ensure consistency and accuracy. They are then saved in CSV files for easy access and analysis.

Usage

The collected data can be used for various financial analyses and insights:

Stock Price Analysis: Evaluate EA’s stock price trends, volatility, and trading volumes over time.

Dividend Analysis: Analyze dividend payment trends, yield, and changes in dividend policy.

Stock Split Analysis: Understand the impact of stock splits on EA’s stock price and overall market behavior.

This data can be used by investors, financial analysts, and researchers to make informed decisions or conduct further financial research. It can also be integrated into financial models or visualizations to provide a clearer picture of EA’s financial health and corporate actions.

Summary

The project provides a detailed dataset of Electronic Arts’ financial data, including stock prices, dividends, and stock splits. By sourcing data from the Alpha Vantage API and carefully formatting it, the project offers valuable insights into EA’s historical financial performance. The data is organized into CSV files, making it accessible for analysis, research, and decision-making purposes.

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

Centerra Gold stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Graph and download economic data for American Railroad Stock Prices for United States (M1105AUSM505NNBR) from Jan 1857 to Dec 1929 about railroad, equity, and USA.

This dataset contains the stock prices of Google since the COVID-19 pandemic began. There are 7 columns in this dataset:

A crude oil stock price chart is a graphical representation of the historical performance of a company's stock that relates to the production, exploration, or refining of crude oil. It provides investors and traders with a visual tool to analyze price trends, identify patterns, and make informed investment decisions.

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.

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.

Stock Price 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.

This dataset contains daily historical stock price data for [Company Name] over the past 10 years, making it ideal for financial analysis, algorithmic trading models, and time series forecasting.

The data has been collected directly from Yahoo Finance using Python’s yfinance library, ensuring accuracy and completeness.

📂 Dataset Structure

Column Description

Date Trading day date (YYYY-MM-DD) Open Opening price of the stock High Highest price during the day Low Lowest price during the day Close Closing price of the stock Volume Number of shares traded that day

💡 Potential Use Cases 📈 Stock Price Forecasting (ARIMA, LSTM, Prophet)

🤖 Algorithmic Trading Models

📊 Technical Analysis (Moving Averages, RSI, MACD)

🔍 Volatility & Trend Analysis

🏦 Long-term Investment Research

⚠️ Notes All prices are in [Currency, e.g., INR / USD].

Trading holidays and weekends are excluded.

Data is for educational and research purposes only — not financial advice.