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

137.53 KB
5031 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

214.36 KB
4136 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

251.33 KB
5031 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

112.93 KB
2184 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

20.45 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

220.83 KB
5031 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

208.29 KB
5031 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

236.41 KB
5031 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

233.35 KB
5031 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

218.26 KB
5031 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

248.48 KB
4981 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

192.92 KB
4049 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

171.11 KB
4110 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

234.15 KB
5031 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

195.89 KB
5031 rows
8 columns


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