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Yahoo finance (or google finance) pricing data that is more accurate than one point per day

Is it possible to get historical price data from yahoo (or google) finance using pandas.io.data.yahoo in python with a resolution of an hour or 10 minutes instead of 1 point per day? If this is not possible, is this a limitation of the pandas module or yahoo (google) finance API?

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I do not know about pandas.io.data.yahoo, but you may need the following:

Jsons of Bloomberg:

http://www.bloomberg.com/markets/chart/data/1D/AAPL:US

http://www.bloomberg.com/markets/chart/data/1M/AAPL:US

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, , , API, 1 .

yahoo pandas. pandas.io.data, , , URL http://ichart.finance.yahoo.com/table.csv? yahoo http://www.google.com/finance/historical? google.

yahoo.finance, 1 :
API yahoo, SQL, API yql console:

select * from yahoo.finance.stocks where symbol="ge"

, , , 1 .

, API yahoo. script, yahoo API 10 , . URL, Google Apple:

finance.yahoo.com/d/quotes.csv?s=AAPL+GOOG&f=nb2t1

AAPL GOOG Google Apple . b2 - , n - , t1 - .

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ystockquote python. yahoo finance rest api.

. . https://github.com/cgoldberg/ystockquote

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Source: https://habr.com/ru/post/1533167/

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