Name: MNC's Stock Dataset For The Last 20 Years
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

MNC's Stock Dataset For The Last 20 Years

Context

This dataset contains 20 years of various MNC's stocks

Content

This dataset contains 20 years of various MNC's stocks data is collected by scraping Yahoo Finance using python.
Below are the MNCs whose stock data is in our dataset :
'Adamis Pharmaceuticals Corporation',
'Alphabet Inc.',
'Tata Consultancy Services Limited',
'Tata Motors Limited',
'Infosys Limited',
'Amazon.com, Inc.',
'Microsoft Corporation','
Facebook, Inc.',
'Intel Corporation',
'International Business Machines Corporation',
'Wipro Limited',
'The Walt Disney Company',
'Reliance Industries Limited',
'Lennar Corporation',
'Indian Railway Catering & Tourism Corporation Limited'

Acknowledgements

I created this dataset by scraping Yahoo Finance, I thank Yahoo Finance for providing such a platform

Inspiration

This is a stock dataset of various MNCs. This dataset will help you to analyze the stock and its features. It also helps you for forecasting purposes.
If you like please upvote and feel free to comment, I hope this helps you.
Thank you!

Tables

Adamis Pharmaceuticals Corporationstock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.adamis_pharmaceuticals_corporationstock

140.83 kB
5,031 rows
8 columns

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

Alphabet Inc Stock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.alphabet_inc_stock

219.5 kB
4,136 rows
8 columns

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

Amazon Com Inc Stock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.amazon_com_inc_stock

257.36 kB
5,031 rows
8 columns

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

Facebook Inc Stock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.facebook_inc_stock

115.64 kB
2,184 rows
8 columns

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

Indian Railway Catering Tourism Corporation Limitedstock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.indian_railway_catering_tourism_corporation_limitedstock

20.94 kB
320 rows
8 columns

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

Infosys Limitedstock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.infosys_limitedstock

226.13 kB
5,031 rows
8 columns

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

Intel Corporationstock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.intel_corporationstock

213.29 kB
5,031 rows
8 columns

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

International Business Machines Corporationstock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.international_business_machines_corporationstock

242.08 kB
5,031 rows
8 columns

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

Lennar Corporationstock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.lennar_corporationstock

238.95 kB
5,031 rows
8 columns

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

Microsoft Corporationstock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.microsoft_corporationstock

223.5 kB
5,031 rows
8 columns

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

Reliance Industries Limitedstock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.reliance_industries_limitedstock

254.44 kB
4,981 rows
8 columns

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

Tata Consultancy Services Limitedstock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.tata_consultancy_services_limitedstock

197.55 kB
4,049 rows
8 columns

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

Tata Motors Limitedstock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.tata_motors_limitedstock

175.22 kB
4,110 rows
8 columns

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

The Walt Disney Companystock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.the_walt_disney_companystock

239.76 kB
5,031 rows
8 columns

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

Wipro Limitedstock

@kaggle.rushikeshlavate_mncs_stock_dataset_for_the_last_20_years.wipro_limitedstock

200.59 kB
5,031 rows
8 columns

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