Name: Historical Stock Price Of (FAANG + 5) Companies
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Historical Stock Price Of (FAANG + 5) Companies

Context

The subject matter of this dataset contains the stock prices of the 10 popular companies ( Apple, Amazon, Netflix, Microsoft, Google, Facebook, Tesla, Walmart, Uber and Zoom)

Content

Within the dataset one will encounter the following:
The date - "Date"
The opening price of the stock - "Open"
The high price of that day - "High"
The low price of that day - "Low"
The closed price of that day - "Close"
The amount of stocks traded during that day - "Volume"
The stock's closing price that has been amended to include any distributions/corporate actions that occurs before next days open - "Adj[usted] Close"
Time period - 2015 to 2021 (day level)

Tasks

Exploratory Data Analysis
Tell a visualization story
Compare stock price growth between companies
Stock price prediction
Time series analysis

Tables

Amazon

@kaggle.suddharshan_historical_stock_price_of_10_popular_companies.amazon

84.9 kB
1,761 rows
7 columns

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

Apple

@kaggle.suddharshan_historical_stock_price_of_10_popular_companies.apple

90.55 kB
1,761 rows
7 columns

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

Facebook

@kaggle.suddharshan_historical_stock_price_of_10_popular_companies.facebook

83.38 kB
1,761 rows
7 columns

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

Google

@kaggle.suddharshan_historical_stock_price_of_10_popular_companies.google

86.9 kB
1,761 rows
7 columns

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

Microsoft

@kaggle.suddharshan_historical_stock_price_of_10_popular_companies.microsoft

89.14 kB
1,761 rows
7 columns

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

Netflix

@kaggle.suddharshan_historical_stock_price_of_10_popular_companies.netflix

86.05 kB
1,761 rows
7 columns

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

Tesla

@kaggle.suddharshan_historical_stock_price_of_10_popular_companies.tesla

135.83 kB
2,767 rows
7 columns

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

Uber

@kaggle.suddharshan_historical_stock_price_of_10_popular_companies.uber

34.4 kB
666 rows
7 columns

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

Walmart

@kaggle.suddharshan_historical_stock_price_of_10_popular_companies.walmart

85.91 kB
1,761 rows
7 columns

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

Zoom

@kaggle.suddharshan_historical_stock_price_of_10_popular_companies.zoom

37.17 kB
681 rows
7 columns

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