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stefan-jansen / machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.
https://ml4trading.io
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QUANDL site is permanently down #265

Closed shaktisd closed 1 year ago

shaktisd commented 1 year ago

Describe the bug A brief description of the bug and in which notebook/script it lives.

zipline ingest -b quandl

Error ValueError: Please set your QUANDL_API_KEY environment variable and retry. After giving a dummy - set QUANDL_API_KEY=X urllib.error.URLError: <urlopen error [WinError 10060] A connection attempt failed because the connected party did not properly respond after a period of time, or established connection failed because connected host has failed to respond>

Is there a way to digest the zipline bundle offline from local computer ?

stefan-jansen commented 1 year ago

You can ingest zipline locally following the examples provided in Chapter 08.

NASDAQ continues to make the data available for free.