This dataset, 'Amazon Stock Data and Key Affiliated Companies,' provides comprehensive daily stock data for Amazon (AMZN) and several companies that have significantly contributed to Amazon's business growth and success. The dataset includes historical data for key players such as Intel (INTC), FedEx (FDX), United Parcel Service (UPS), Salesforce (CRM), NVIDIA (NVDA), Visa (V), and Mastercard (MA).

The stock data spans over various years, capturing important trading metrics like open, close, high, low, and volume. Amazon, a global leader in e-commerce, cloud computing, and AI, has thrived with the support of these affiliated companies. From Intel's processors powering Amazon Web Services (AWS) to Salesforce's CRM solutions used by Amazon, and the logistics support provided by FedEx and UPS, each company plays a critical role.

This dataset can be used for financial analysis, stock market prediction models, correlation studies between Amazon and its key partners, or any other research involving the financial performance of these major corporations. Whether you're interested in understanding Amazon's stock trends or the interdependency of companies in its ecosystem, this dataset provides valuable insights.

Context

A stock market is where buyers and sellers trade shares of a company, and is one of the most popular ways for individuals and companies to invest money. The size of the world stock market is now estimated to be in the trillions. The largest stock market in the world is the New York Stock Exchange (NYSE), located in New York City. About 2,800 companies are listed on the NYSE. In this problem, we'll look at the monthly stock prices of five of these companies: IBM, General Electric (GE), Procter and Gamble, Coca Cola, and Boeing. The data used in this problem comes from Infochimps.

Content

Each data frame has two variables, described as follows:

Date: the date of the stock price, always given as the first of the month. StockPrice: the average stock price of the company in the given month. In this problem, we'll take a look at how the stock dynamics of these companies have changed over time.

Acknowledgements

MITx ANALYTIX

Context This dataset can be used to Predict the future Stock Prices of these companies.

Name of top Companies APPLE, AMAZON, GOOGLE, JP-MORGN, MIROSOFT, NETFLIX, NVIDIA, TESLA, VISA, WALMART

Content

This Dataset Contain data about

1.Date, 2. Opening value,

3.Closing value, 4.Lowest value,

5.Highest value, 6. Adj closing value ,

7.Volume , 8. Company

Acknowledgements Data from https://finance.yahoo.com

Inspiration ANALYSE THE STOCK DATA ,

COMPARE THE GROWTH OF THESE COMPANIES,

EDA

Peoples Insurance Company of China reported CNY301.73B in Market Capitalization this October of 2025, considering the latest stock price and the number of outstanding shares.Data for Peoples Insurance Company of China | 601319 - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last October in 2025.

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.

People data provides complete people information and gives the ability to link individual information to organizations and roles.

Peoples Insurance Company of China stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Context

Visa Inc. is a stock corporation and, alongside Mastercard, one of the two major payment card companies and employed around 14,200 people in 2016. The VISA brand is a recursive acronym and stands for Visa International Service Association.

As of August 2025 Visa has a market cap of $670.57 Billion USD. This makes Visa the world's 16th most valuable company by market cap according to our data. The market capitalization, commonly called market cap, is the total market value of a publicly traded company's outstanding shares and is commonly used to measure how much a company is worth.

Content

Geography: USA

Time period: March 2008- Aug 2025

Unit of analysis: Visa Stock Data 2025

Variables

Acknowledgements

This dataset belongs to me. I’m sharing it here for free. You may do with it as you wish.

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2Fd7228cd56b0e488c3960fe55fcbcbf7b%2Fv%201.png?generation=1730049975476539&alt=media" alt="">

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2Feb3bdf4b786a346b5f9f4833003040cb%2Fv%202.png?generation=1730049995477336&alt=media" alt="">

The dataset has listed companies list as per nepal stock exchange with columns 'symbol', 'company name', 'sector', 'class', 'security name', 'regulatory body' and 'instrument type'. Also consists csv file of each company stock data(listed company data as well as some prevoiously listed companies). Each company csv file defines columns 'date', 'open', 'close', 'high', 'low', 'symbol' and 'volume'.

This dataset contains 10 years of daily stock price data for Apple Inc. (AAPL) from 2014 to 2024, including key financial market variables and commonly used technical indicators. It is designed to support time series analysis, financial modeling, trading strategy development, and machine learning applications such as price movement prediction.

The dataset includes daily OHLCV (Open, High, Low, Close, Volume) data, as well as engineered features like moving averages, RSI, MACD, and a target label indicating whether the next day's closing price increases (1) or not (0). This makes the dataset suitable for both regression and classification tasks.

Time Range From: January 2014 To: July 2024

Frequency: Daily (market days only)

Peoples Insurance Company of China reported 175.88K in Employees for its fiscal year ending in December of 2023. Data for Peoples Insurance Company of China | 601319 - Employees Total Number including historical, tables and charts were last updated by Trading Economics this last October in 2025.

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.

This dataset contains daily historical stock prices of Apple Inc. (AAPL) from its IPO launch (12 December 1980) to the latest available date (18 March 2025). The data has been collected using the Yahoo Finance API and includes key financial indicators such as Open, High, Low, Close, Adjusted Close, and Volume.

Potential Uses: 📈 Stock Market Analysis – Understand Apple’s price trends over decades. 📊 Time Series Forecasting – Train models like LSTMs, ARIMA, Prophet, etc. 🤖 Machine Learning Applications – Build predictive models for future price movements. 💰 Investment Research – Analyze long-term growth patterns.

Peoples Insurance Company of China reported CNY20.6B in Pre-Tax Profit for its fiscal quarter ending in March of 2025. Data for Peoples Insurance Company of China | 601319 - Pre Tax Profit including historical, tables and charts were last updated by Trading Economics this last October in 2025.

Stock Price Time Series for Peoples Fin. Peoples Financial Services Corp. provides commercial and retail banking services. The company accepts money market, negotiable order of withdrawal, savings, individual retirement, demand deposit, and certificates of deposit accounts. It also provides residential real estate, automobile, manufactured housing, personal, and home equity loans; and commercial real estate, working capital, construction, small business administration, and agricultural loans, as well as loans for equipment and other commercial needs, and mineral rights. In addition, the company offers fiduciary and investment services; investment management, IRA trustee, estate administration, living and life insurance trust, trustee under will, guardianship, custodial/IRA custodial, and corporate trust services, as well as pension and profit-sharing plans. Further, it provides wealth management products and services comprising investment portfolio management, estate and business succession planning, annuities, insurance, retirement plan, and tax planning, as well as education funding strategies; and securities, brokerage, and investor services. Additionally, the company offers small business checking and merchant money market accounts, online and telephone banking, business credit cards, merchant line of credit, and financial checkup services; and remote deposit capture, automatic clearing house transaction, cash management, automated teller machine, point of sale transaction, safe deposit box, night depository, direct deposit, and official check services. It serves business, non-profit, governmental, municipal agency, and professional customers, as well as retail customers. The company was founded in 1905 and is headquartered in Dunmore, Pennsylvania.

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.

Context

There are a few companies that are considered to be revolutionary. These companies also happen to be a dream place to work at for many many people across the world. These companies include - Facebook,Amazon,Apple,Netflix and Google also known as FAANG! These companies make ton of money and they help others too by giving them a chance to invest in the companies via stocks and shares. This data wass made targeting these stock prices.

Content

The data contains information such as opening price of a stock, closing price, how much of these stocks were sold and many more things. There are 5 different CSV files in the data for each company.

Twelve Data is a technology-driven company that provides financial market data, financial tools, and dedicated solutions. Large audiences - from individuals to financial institutions - use our products to stay ahead of the competition and success.

At Twelve Data we feel responsible for where the markets are going and how people are able to explore them. Coming from different technological backgrounds, we see how the world is lacking the unique and simple place where financial data can be accessed by anyone, at any time. This is what distinguishes us from others, we do not only supply the financial data but instead, we want you to benefit from it, by using the convenient format, tools, and special solutions.

We believe that the human factor is still a very important aspect of our work and therefore our ethics guides us on how to treat people, with convenient and understandable resources. This includes world-class documentation, human support, and dedicated solutions.

Analysis of ‘FAANG- Complete Stock Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/aayushmishra1512/faang-complete-stock-data on 30 September 2021.

--- Dataset description provided by original source is as follows ---

Context

There are a few companies that are considered to be revolutionary. These companies also happen to be a dream place to work at for many many people across the world. These companies include - Facebook,Amazon,Apple,Netflix and Google also known as FAANG! These companies make ton of money and they help others too by giving them a chance to invest in the companies via stocks and shares. This data wass made targeting these stock prices.

Content

The data contains information such as opening price of a stock, closing price, how much of these stocks were sold and many more things. There are 5 different CSV files in the data for each company.

--- Original source retains full ownership of the source dataset ---

Twelve Data is a technology-driven company that provides financial market data, financial tools, and dedicated solutions. Large audiences - from individuals to financial institutions - use our products to stay ahead of the competition and success.

At Twelve Data we feel responsible for where the markets are going and how people are able to explore them. Coming from different technological backgrounds, we see how the world is lacking the unique and simple place where financial data can be accessed by anyone, at any time. This is what distinguishes us from others, we do not only supply the financial data but instead, we want you to benefit from it, by using the convenient format, tools, and special solutions.

We believe that the human factor is still a very important aspect of our work and therefore our ethics guides us on how to treat people, with convenient and understandable resources. This includes world-class documentation, human support, and dedicated solutions.