Name: FAANG- Complete Stock Data
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

FAANG- Complete Stock Data

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.

Tables

Amazon

@kaggle.aayushmishra1512_faang_complete_stock_data.amazon

261.56 kB
5,852 rows
7 columns

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

Apple

@kaggle.aayushmishra1512_faang_complete_stock_data.apple

414.53 kB
10,016 rows
7 columns

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

Facebook

@kaggle.aayushmishra1512_faang_complete_stock_data.facebook

97.33 kB
2,076 rows
7 columns

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

Google

@kaggle.aayushmishra1512_faang_complete_stock_data.google

255.87 kB
4,041 rows
7 columns

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

Netflix

@kaggle.aayushmishra1512_faang_complete_stock_data.netflix

221.29 kB
4,581 rows
7 columns

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