Name: Historical Performance : World's Top Stock Indices
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

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

186.21 kB
3,707 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

188.17 kB
3,676 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

134.81 kB
3,652 rows
5 columns

CREATE TABLE dow_jones (
  "date" TIMESTAMP,
  "n__open" DOUBLE  -- Open,
  "n__high" DOUBLE  -- High,
  "n__low" DOUBLE  -- Low,
  "n__close" DOUBLE  -- Close
);

Ftse

@kaggle.rohitktiwari04_top_10_stock_indices.ftse

18.77 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

182.47 kB
3,579 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

162.1 kB
3,594 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

258.49 kB
5,157 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

154.17 kB
3,404 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

168.59 kB
3,567 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

176.37 kB
3,526 rows
7 columns

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