Dear all,
I was wondering if there is a solution to get a time series list through the python api. It can easily be computed in Excel but I do not manage get the results in python. Thanks in advance
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Do you mean the symbol lookup?
You can look up symbols via API by using DS.SYMBOLOOKUP but its feature is quite limited.
df1 = ds.get_data(tickers="MSCI USA - DAILY", fields=["DS.SYMBOLLOOKUP(Count=50)"], kind=0)
The output is:
We suggest clients to use the DataStream website instead to search for items.
After getting a list, you can use the API to retrieve time-series data.
item_list=ds.get_data(tickers="LFTSE1000518|L",fields =["NAME"], kind=0) batch_list = np.array_split(item_list['Instrument'],len(item_list)/20) data = None for batch in batch_list: temp_dat = ds.get_data(tickers=','.join(batch), fields=['P','MV'], start='-3M', end='-1M') #kind=1 if data is None: data = temp_dat else: data = data.join(temp_dat) data
38.1k
●71 ●35 ●53
Please explain more about the question.
You can use the Python DatastreamWS API to retrieve time-series.
ds.get_data (tickers='@AAPL, @FB, @GOOGL, @MSFT, U:JPM', fields=['P','MV'], start='-3M', end='-1M')
The output looks like:
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Thanks for your answer, I would like the equivalent of (I do not know the list of constituants in advance)
