HappyFree historical data from around the World

1
Here you can download free data of the S&P 500 from 1789 until today (in csv format: Daily, Weekly, Monthly, etc.):

https://stooq.com/q/d/?s=%255Espx&c=0

(translation of the small window):

Zarzadzaj opcjami = Manage options
Zgadzam sie = I agree

write at the top left (in the box: Symbol np): ^SPX and then click on: Kwotuj

check that in the bottom left-hand corner the following is selected: Historical data

choose Interval: Daily, Weekly, Monthly, etc...

click at the bottom on: Download data in csv file

You can get the Indexes of the whole World, by writing in the box: Symbol np

DJI (Down Jones Industrial)

SPX (S&P 500)

Nasdaq

FTSE (United Kingdom)

DAX (Germany)

Nikkei (Japan)

Nifty (India)

IDX (Indonesia)

FTSE MIB (Italy)

etc...
These users thanked the author Khaal for the post (total 4):
Thangarasu, Jedidiah, RodrigoRT7, nathanvbasko


Re: Free historical data from around the World

2
In the attachment you can download these Indices (all in Metastock format):

S & P 500 (1950-2018)

Down Jones Industrial (from 1897 to 2018)

Nasdaq 100 (1985-2018)

Nasdaq Composite (1971-2018)

Russel 1000 (1992-2018)

Russel 2000 (1987-2018)

Russel 3000 (1987-2018)
These users thanked the author Khaal for the post (total 2):
Milad8732, gaarmitaar

Re: Free historical data from around the World

5
You can download these Commodities (all in Metastock format) here:


Gold (1969-2018)

Gold cont--Comex (1974-2018)

Gold Mini-- Comex (2004-2018)

Silver (1980-2018)

Silver cont--Comex (1970-2018)

Silver Mini Globex (2001-2018)


P.S: I thank in advance if anyone would like to share the data from 2018 to 2022 in Metastock format of these Indices:

- Down Jones Industrial

- S & P 500
These users thanked the author Khaal for the post:
gaarmitaar


Re: Free historical data from around the World

8
With reference to post: #1:

before you click on the button: Download data in csv file,
you should click on: semicolon (at the bottom, where it says: Downloaded data separator: comma | semicolon) so you get the file: csv
with the columns already separated: Date, Open, High, etc...;

then, to quickly transform the csv file to Excel file (xls or xlsx), you can use this free service:

https://convertio.co/it/csv-xls/

https://convertio.co/it/csv-xlsx/


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