Name: Amazon Stock Data And Key Affiliated Companies
Creator: Kaggle
License: https://www.apache.org/licenses/

About this Dataset

Amazon Stock Data And Key Affiliated Companies

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.

Tables

Amzn Daily Data

@kaggle.zongaobian_amazon_stock_data_and_key_affiliated_companies.amzn_daily_data

354.75 kB
6,888 rows
7 columns

CREATE TABLE amzn_daily_data (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Crm Daily Data

@kaggle.zongaobian_amazon_stock_data_and_key_affiliated_companies.crm_daily_data

260.83 kB
5,102 rows
7 columns

CREATE TABLE crm_daily_data (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Fdx Daily Data

@kaggle.zongaobian_amazon_stock_data_and_key_affiliated_companies.fdx_daily_data

431.55 kB
11,041 rows
7 columns

CREATE TABLE fdx_daily_data (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Intc Daily Data

@kaggle.zongaobian_amazon_stock_data_and_key_affiliated_companies.intc_daily_data

420.82 kB
11,041 rows
7 columns

CREATE TABLE intc_daily_data (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Ma Daily Data

@kaggle.zongaobian_amazon_stock_data_and_key_affiliated_companies.ma_daily_data

243.12 kB
4,617 rows
7 columns

CREATE TABLE ma_daily_data (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Nvda Daily Data

@kaggle.zongaobian_amazon_stock_data_and_key_affiliated_companies.nvda_daily_data

315.85 kB
6,463 rows
7 columns

CREATE TABLE nvda_daily_data (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

Ups Daily Data

@kaggle.zongaobian_amazon_stock_data_and_key_affiliated_companies.ups_daily_data

284.59 kB
6,260 rows
7 columns

CREATE TABLE ups_daily_data (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);

V Daily Data

@kaggle.zongaobian_amazon_stock_data_and_key_affiliated_companies.v_daily_data

212.95 kB
4,161 rows
7 columns

CREATE TABLE v_daily_data (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" BIGINT
);