The EquityPricing
dataset is the dataset for price and volumes (see more info in the documentation here). If no domain is specified when defining a pipeline, it will default to US_EQUITIES
. The USEquityPricing
dataset is provided for backward compatibility and is another way of specifying EquityPricing
and a domain of US_EQUITIES
. If one doesn't explicitly specify a domain then the two are the same. That is why it appeared there wasn't any difference.
In order to fetch EquityPricing for non-US domains one must explicitly specify the domain. This actually does two things. It specifies the country or exchange and also the associated trading calendar. In order to find Vokswagen one must import and specify the German DE_EQUITIES
domain.
from quantopian.pipeline.data import EquityPricing
from quantopian.pipeline.domain import DE_EQUITIES
pipe = Pipeline(
columns={},
domain=DE_EQUITIES, # Set the pipeline domain to equities traded on German exchanges
screen=None
)
It's sort of a two step process to get data for a specific non-US stock. First, one must run a pipeline for the desired domain. Then, search the returned dataframe for the desired stock either by name or ticker and note the SID. That SID is currently the only way fetch a non-US asset. One currently cannot use the ticker. There is an example on how to do that in this post.
Attached is a sample notebook for getting German equities and using pipeline for non-US assets.
Hope that helps?
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