This dataset encapsulates a detailed examination of market dynamics over a five-year period, focusing on the fluctuation of prices and trading volumes across a diversified portfolio. It covers various sectors including energy commodities like natural gas and crude oil, metals such as copper, platinum, silver, and gold, cryptocurrencies including Bitcoin and Ethereum, and key stock indices and companies like the S&P 500, Nasdaq 100, Apple, Tesla, Microsoft, Google, Nvidia, Berkshire Hathaway, Netflix, Amazon, and Meta Platforms. This dataset serves as a valuable resource for analyzing trends and patterns in global markets.

Date: The date of the recorded data, formatted as DD-MM-YYYY. Natural_Gas_Price: Price of natural gas in USD per million British thermal units (MMBtu). Natural_Gas_Vol.: Trading volume of natural gas Crude_oil_Price: Price of crude oil in USD per barrel. Crude_oil_Vol.: Trading volume of crude oil Copper_Price: Price of copper in USD per pound. Copper_Vol.: Trading volume of copper Bitcoin_Price: Price of Bitcoin in USD. Bitcoin_Vol.: Trading volume of Bitcoin Platinum_Price: Price of platinum in USD per troy ounce. Platinum_Vol.: Trading volume of platinum Ethereum_Price: Price of Ethereum in USD. Ethereum_Vol.: Trading volume of Ethereum S&P_500_Price: Price index of the S&P 500. Nasdaq_100_Price: Price index of the Nasdaq 100. Nasdaq_100_Vol.: Trading volume for the Nasdaq 100 index Apple_Price: Stock price of Apple Inc. in USD. Apple_Vol.: Trading volume of Apple Inc. stock Tesla_Price: Stock price of Tesla Inc. in USD. Tesla_Vol.: Trading volume of Tesla Inc. stock Microsoft_Price: Stock price of Microsoft Corporation in USD. Microsoft_Vol.: Trading volume of Microsoft Corporation stock Silver_Price: Price of silver in USD per troy ounce. Silver_Vol.: Trading volume of silver Google_Price: Stock price of Alphabet Inc. (Google) in USD. Google_Vol.: Trading volume of Alphabet Inc. stock Nvidia_Price: Stock price of Nvidia Corporation in USD. Nvidia_Vol.: Trading volume of Nvidia Corporation stock Berkshire_Price: Stock price of Berkshire Hathaway Inc. in USD. Berkshire_Vol.: Trading volume of Berkshire Hathaway Inc. stock Netflix_Price: Stock price of Netflix Inc. in USD. Netflix_Vol.: Trading volume of Netflix Inc. stock Amazon_Price: Stock price of Amazon.com Inc. in USD. Amazon_Vol.: Trading volume of Amazon.com Inc. stock Meta_Price: Stock price of Meta Platforms, Inc. (formerly Facebook) in USD. Meta_Vol.: Trading volume of Meta Platforms, Inc. stock Gold_Price: Price of gold in USD per troy ounce. Gold_Vol.: Trading volume of gold

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This dataset contains 184,138 daily stock market records for 120 leading US publicly traded companies, spanning 9 major economic sectors. Each record represents one trading day per company and includes essential OHLCV (Open, High, Low, Close, Adjusted Close, Volume) features used extensively in financial analysis, time-series forecasting, quantitative trading, and AI/ML research.

The dataset is clean, complete, and free of missing values, making it ideal for both educational and production-level projects.

🔍 Use cases include:

• 📊 Exploratory Data Analysis (EDA)
• 📈 Time Series Forecasting (ARIMA, LSTM, Prophet)
• 🤖 Machine Learning & Deep Learning models
• 💹 Portfolio analysis & sector comparison
• 🧠 AI-driven financial research and feature engineering

This dataset is especially valuable for multi-stock modeling, sector-wise trend analysis, and cross-company comparisons.

🧩 Column Descriptions (One Line Each)

• Date – Trading date of the stock record.
• Ticker – Stock market ticker symbol (e.g., AAPL, MSFT, TSLA).
• Company_Name – Full registered name of the company.
• Sector – Economic sector the company belongs to (9 total).
• Industry – Specific industry classification of the company.
• Open – Stock price at market opening.
• High – Highest stock price during the trading day.
• Low – Lowest stock price during the trading day.
• Close – Stock price at market close.
• Adj_Close – Closing price adjusted for splits and dividends.
• Volume – Total number of shares traded during the day.

📊 Dataset Summary

• Rows: 184,138
• Columns: 11
• Companies: 120
• Sectors: 9
• Missing Values: None
• Memory Size: ~15.5 MB

The main stock market index of United States, the US500, rose to 7126 points on April 21, 2026, gaining 0.24% from the previous session. Over the past month, the index has climbed 8.28% and is up 34.76% 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 April of 2026.

The main stock market index of United States, the US500, rose to 6899 points on February 25, 2026, gaining 0.13% from the previous session. Over the past month, the index has declined 0.73%, though it remains 15.84% 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 February of 2026.

The main stock market index of United States, the US500, rose to 7121 points on April 21, 2026, gaining 0.16% from the previous session. Over the past month, the index has climbed 8.20% and is up 34.67% 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 April of 2026.

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.

📌 About This Dataset

This dataset contains daily historical stock market data for three major US companies:

• 🍎 Apple (AAPL) • 🪟 Microsoft (MSFT) • 🚗 Tesla (TSLA)

It includes essential trading features such as:

✔ Open ✔ High ✔ Low ✔ Close ✔ Adjusted Close ✔ Volume

The data is structured in a multi-ticker format, making it perfect for: • 📊 Financial analysis • 🤖 Machine learning • 🔮 Price prediction • 📈 Portfolio research • 🧠 Time series forecasting

🧪 Data Description Column Group Description Price Adjusted Close & Close prices Open Opening price of the stock High Highest price of the day Low Lowest price of the day Volume Total number of shares traded Ticker Stock symbol (AAPL, MSFT, TSLA) Date Trading date (YYYY-MM-DD)

Each company has its own values under the same feature category for easy comparison.

stock-market finance time-series tesla apple microsoft machine-learning deep-learning lstm forecasting trading investment kaggle-dataset ai python

Graph and download economic data for Stock Market Total Value Traded to GDP for United States (DDDM02USA156NWDB) from 1975 to 2019 about market cap, stock market, trade, GDP, and USA.

United States US: Stocks Traded: Total Value data was reported at 39,785.881 USD bn in 2017. This records a decrease from the previous number of 42,071.330 USD bn for 2016. United States US: Stocks Traded: Total Value data is updated yearly, averaging 17,934.293 USD bn from Dec 1984 (Median) to 2017, with 34 observations. The data reached an all-time high of 47,245.496 USD bn in 2008 and a record low of 1,108.421 USD bn in 1984. United States US: Stocks Traded: Total Value data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Financial Sector. The value of shares traded is the total number of shares traded, both domestic and foreign, multiplied by their respective matching prices. Figures are single counted (only one side of the transaction is considered). Companies admitted to listing and admitted to trading are included in the data. Data are end of year values converted to U.S. dollars using corresponding year-end foreign exchange rates.; ; World Federation of Exchanges database.; Sum; Stock market data were previously sourced from Standard & Poor's until they discontinued their 'Global Stock Markets Factbook' and database in April 2013. Time series have been replaced in December 2015 with data from the World Federation of Exchanges and may differ from the previous S&P definitions and methodology.

Graph and download economic data for Index of Preferred Stock Prices, New York Stock Exchange for United States (M11008USM322NNBR) from Jan 1902 to May 1923 about stock market, New York, indexes, and USA.

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.

The US Stock Market Historical Dataset contains past trading data of major companies listed on prominent American stock exchanges such as the New York Stock Exchange (NYSE) and NASDAQ. This dataset typically includes daily records of stock prices such as Open, High, Low, Close (OHLC) values, trading Volume, and sometimes Adjusted Close prices.

It provides long-term historical data that helps analysts study market trends, price movements, volatility, and investment performance over time. The dataset may cover large-cap companies, including firms listed in the S&P 500, as well as technology-focused stocks from the NASDAQ Composite.

This dataset is widely used for:

• 📈 Financial analysis and forecasting
• 🤖 Machine learning model training
• 📊 Time series analysis
• 💼 Investment strategy development
• 📉 Risk management and portfolio optimization

Researchers, students, and financial professionals use this dataset to understand historical market behavior, compare company performance, and predict future trends based on past patterns. It is a valuable resource for anyone working in finance, data science, or economic research.

Stock market index in the USA, February, 2026 The most recent value is 217.92 points as of February 2026, an increase compared to the previous value of 212.01 points. Historically, the average for the USA from January 1960 to February 2026 is 47.1 points. The minimum of 2.98 points was recorded in June 1962, while the maximum of 217.92 points was reached in February 2026. | TheGlobalEconomy.com

Dataset

This dataset was created by Joseph Armstrong

Released under Database: Open Database, Contents: © Original Authors

Contents

Prices for United States Stock Market Index (US30) including live quotes, historical charts and news. United States Stock Market Index (US30) was last updated by Trading Economics this April 20 of 2026.

Throughout the 1920s, prices on the U.S. stock exchange rose exponentially, however, by the end of the decade, uncontrolled growth and a stock market propped up by speculation and borrowed money proved unsustainable, resulting in the Wall Street Crash of October 1929. This set a chain of events in motion that led to economic collapse - banks demanded repayment of debts, the property market crashed, and people stopped spending as unemployment rose. Within a year the country was in the midst of an economic depression, and the economy continued on a downward trend until late-1932.

It was during this time where Franklin D. Roosevelt (FDR) was elected president, and he assumed office in March 1933 - through a series of economic reforms and New Deal policies, the economy began to recover. Stock prices fluctuated at more sustainable levels over the next decades, and developments were in line with overall economic development, rather than the uncontrolled growth seen in the 1920s. Overall, it took over 25 years for the Dow Jones value to reach its pre-Crash peak.

4974 Stock Symbols End of day data. Includes close open high low volume and date. Data was collected from Google finance public data. +—————+——————+ | Table | Size in MB | +—————+——————+ | surf_eod | 1109.00 | +—————+——————+ 1 row in set (0.00 sec) mysql> SELECT COUNT(DISTINCT( ticker )) FROM surf_eod; +—————————————-+ | COUNT(DISTINCT( ticker )) | +—————————————-+ | 4974 | +—————————————-+ 1 row in set (6.31 sec) mysql> describe surf_eod; +————+——————-+—&mdash

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 April 2 of 2026.

As of January 2026, the combined average monthly turnover of the three main U.S. equities market operators - the New York Stock Exchange (NYSE), the Nasdaq, and Chicago Board Options Exchange (CBOE) Global Markets - amounted to around **** trillion U.S. dollars. However, the largest share of total equity trades in the United States was held by off-exchange transactions.

The provided dataset is a CSV file titled "US Stock Market Dataset" containing financial data for various stocks and indices from January 1, 2020, to January 26, 2024. The dataset includes the following columns: Date Natural Gas Price Natural Gas Vol. Crude Oil Price Crude Oil Vol. Copper Price Copper Vol. Bitcoin Price Bitcoin Vol. Platinum Price Platinum Vol. Ethereum Price Ethereum Vol. S&P 500 Price Nasdaq 100 Price Nasdaq 100 Vol. Apple Price Apple Vol. Tesla Price Tesla Vol. Microsoft Price Microsoft Vol. Silver Price Silver Vol. Google Price Google Vol. Nvidia Price Nvidia Vol. Berkshire Price Berkshire Vol. Netflix Price Netflix Vol. Amazon Price Amazon Vol. Meta Price Meta Vol. Gold Price Gold Vol. Bitcoin Price (5 Minute) Bitcoin Vol. (5 Minute)