@Christoph Sevill First off, welcome to Quantopian. There are two general ways to fetch data on Quantopian. The pipeline method is the most ubiquitous and can be used in both the research and IDE (ie algo) environment. Moreover, it supports fetching data for global equities from over 40 countries. One limitation with pipelines however is they only fetch daily data. This works well for fundamental and stock meta-data. The second method is get_pricing
, volumes
and several other functions which can be used in research, and data.history
which is used in the IDE. They can fetch price and volume data only and can return either minute or daily frequency. The limitation with these is they fetch only US equity data.
Here is one approach to fetch volume data in a notebook
# specify a list of symbols
my_stocks = symbols(['AAPL', 'IBM', 'SPY'])
# use `get_pricing` as the most general way to specify the fields
my_minute_data = get_pricing(my_stocks,
fields=['close_price', 'volume'],
start_date='1-1-2018',
end_date='1-1-2019',
frequency='minute'
)
The attached notebook has an example. Good luck.
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