Dataset: Global Stock Market (2008-2023)

About this Dataset

Global Stock Market (2008-2023)

This dataset encompasses daily price and volume data from several major global stock indices and commodities for the period of 2008 to 2023. The following financial instruments are included:

^NYA: NYSE Composite (New York Stock Exchange)
^IXIC: NASDAQ Composite
^FTSE: FTSE 100 Index (Financial Times Stock Exchange, UK)
^NSEI: Nifty 50 (National Stock Exchange of India)
^BSESN: BSE SENSEX (Bombay Stock Exchange, India)
^N225: Nikkei 225 (Japan)
000001.SS: SSE Composite Index (Shanghai Stock Exchange)
^N100: Euronext 100 (European Stock Exchange)
^DJI: Dow Jones Industrial Average (USA)
^GSPC: S&P 500 Index (USA)
GC=F: Gold Futures
CL=F: Crude Oil Futures

For each ticker symbol, the following columns are included:

Date: The date of the data point.
Open: The opening price for the given date.
High: The highest price for the given date.
Low: The lowest price for the given date.
Close: The closing price for the given date.
Adj Close: The adjusted closing price for the given date.
Volume: The number of shares traded on the given date.

Usage:
This data can be used for a wide range of tasks such as financial analysis, trading strategy backtesting, machine learning modelling, etc. It's a valuable resource for anyone interested in financial market dynamics and the interconnectedness of global financial markets.

Tables

N 2008 Globla Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2008_globla_markets_data

58.98 KB
1252 rows
8 columns


CREATE TABLE n_2008_globla_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2009 Globla Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2009_globla_markets_data

132.53 KB
2988 rows
8 columns


CREATE TABLE n_2009_globla_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2010 Global Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2010_global_markets_data

132.35 KB
3005 rows
8 columns


CREATE TABLE n_2010_global_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2011 Global Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2011_global_markets_data

132.28 KB
2997 rows
8 columns


CREATE TABLE n_2011_global_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2012 Global Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2012_global_markets_data

130.83 KB
2981 rows
8 columns


CREATE TABLE n_2012_global_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2013 Global Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2013_global_markets_data

133.04 KB
2997 rows
8 columns


CREATE TABLE n_2013_global_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2014 Global Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2014_global_markets_data

132.85 KB
2988 rows
8 columns


CREATE TABLE n_2014_global_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2015 Global Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2015_global_markets_data

133.54 KB
2997 rows
8 columns


CREATE TABLE n_2015_global_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2016 Global Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2016_global_markets_data

133.44 KB
2996 rows
8 columns


CREATE TABLE n_2016_global_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2017 Global Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2017_global_markets_data

131.54 KB
3000 rows
8 columns


CREATE TABLE n_2017_global_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2018 Global Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2018_global_markets_data

132.93 KB
2993 rows
8 columns


CREATE TABLE n_2018_global_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2019 Global Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2019_global_markets_data

132.83 KB
2985 rows
8 columns


CREATE TABLE n_2019_global_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2020 Global Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2020_global_markets_data

135.61 KB
3012 rows
8 columns


CREATE TABLE n_2020_global_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2021 Global Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2021_global_markets_data

133.84 KB
3004 rows
8 columns


CREATE TABLE n_2021_global_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2022 Global Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2022_global_markets_data

134.6 KB
2993 rows
8 columns


CREATE TABLE n_2022_global_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);

N 2023 Global Markets Data

@kaggle.pavankrishnanarne_global_stock_market_2008_present.n_2023_global_markets_data

77.59 KB
1712 rows
8 columns


CREATE TABLE n_2023_global_markets_data (
  "ticker" VARCHAR,
  "date" TIMESTAMP,
  "open" DOUBLE,
  "high" DOUBLE,
  "low" DOUBLE,
  "close" DOUBLE,
  "adj_close" DOUBLE,
  "volume" DOUBLE
);