Dataset: Historical Performance : World's Top Stock Indices

About this Dataset

Historical Performance : World's Top Stock Indices

Context

Stock Exchange is a market that allows you to buy and sell securities including shares of stock, bonds, and other financial instruments in a public venue. Stock markets enable companies to be traded publicly and raise capital. Stock markets promote investment. The raising of capital allows companies to grow their businesses, expand operations and create jobs in the economy. This investment is a key driver for economic trade, growth, and prosperity.

Content

This dataset consists of 15 years of data of some of the world's most-followed stock indices from various developed and emerging markets. The data includes
the opening, closing, high, low, adjusted close and total volume of transactions that occurred on a given day.

Inspiration

People who invest in stock must be familiar with the Dow Jones, Nasdaq, Shanghai stock exchange as a few biggest exchanges in the list of largest stock exchanges in the world. But there are some other large stock exchanges that are tracked on a daily basis by traders and investors to gauge the global market sentiment. During the past 15 years, a few of these markets have also outperformed their global peers in terms of the total return delivered.

Tables

Cac

@kaggle.rohitktiwari04_top_10_stock_indices.cac

181.85 KB
3707 rows
7 columns


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

Dax

@kaggle.rohitktiwari04_top_10_stock_indices.dax

183.76 KB
3676 rows
7 columns


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

Dow Jones

@kaggle.rohitktiwari04_top_10_stock_indices.dow_jones

131.65 KB
3652 rows
5 columns


CREATE TABLE dow_jones (
  "date" TIMESTAMP,
  "n__open" DOUBLE,
  "n__high" DOUBLE,
  "n__low" DOUBLE,
  "n__close" DOUBLE
);

Ftse

@kaggle.rohitktiwari04_top_10_stock_indices.ftse

18.33 KB
300 rows
7 columns


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

Hang Seng

@kaggle.rohitktiwari04_top_10_stock_indices.hang_seng

178.19 KB
3579 rows
7 columns


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

Kospi

@kaggle.rohitktiwari04_top_10_stock_indices.kospi

158.3 KB
3594 rows
7 columns


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

Nasdaq

@kaggle.rohitktiwari04_top_10_stock_indices.nasdaq

252.44 KB
5157 rows
7 columns


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

Nifty50

@kaggle.rohitktiwari04_top_10_stock_indices.nifty50

150.56 KB
3404 rows
7 columns


CREATE TABLE nifty50 (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Nikkei 225

@kaggle.rohitktiwari04_top_10_stock_indices.nikkei_225

164.64 KB
3567 rows
7 columns


CREATE TABLE nikkei_225 (
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

Sse

@kaggle.rohitktiwari04_top_10_stock_indices.sse

172.24 KB
3526 rows
7 columns


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