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Hello, I am using Refinitiv Datastream add-in on excel to obtain monthly data (for example: ROA) for a group of companies however when I select frequency as monthly, the data I obtain is the yearly data duplicated for each month. I am pretty sure that Refinitiv has the monthly data however I do not seem to be able to…
I would like to ask the following question. I am downloading data for the last 10 years for all companies that have ESG data. Using Eikon's "Build Formula" function, I have been able to download the ESG data and part of the economic-financial data. This download shows me the data as shown in the first image. I would like…
I want to extract historical constituents of index in DATASTREAM, I read somewhere in the forums that it is possible to append List with MMYY information to obtain the list for that month. LHKHCOLC - Current constituent list of Hang Seng Large Cap index. LHKHCOLC0419 - Latest constituent list of Hang Seng Large Cap index…
I was looking to get 52 Week highs for stocks at the end of every month. On the datastream python API i used ds.get_data(tickers=ticker_list, fields=['WC05091'], start=s_date, end = e_date, freq='M') This is however giving me the same 52week high price value for all months. Can you advise what the correct way to call the…
I want to get historical volatility surface data for KOSPI200 options. I found above data with 'KS200VOLSURF' but I just can check real-time data. I want historical volatility surface data like above format(for example, 1year daily data each have above format).
Hi, Is there any way to pull 100 Moneyness IDs using stock RIC (or some other id) from DataStream API in Python? For example for RIC "GE", we have moneyness ID is "GE1$MONEY100". Below is the screenshot from DFO Navigator just for reference. I am looking for a way using Datasteam API in Python.
Hi team, may I know how to let dsws show the names of datatypes? Thanks in advance!
Hi team, I've got a question regarding dsws. If retrieving single filed and startdate = -0D, then the result will not showing the actual date of the data. e.g. df = ds.get_data(tickers = '@:CNM1E1', fields = ['A12FE'], start = '-0D') the result will be showing index, instrument, datatype, value and currency However, if…
As the title and screenshot of the process, I'm getting some fields latest data (related to price, dividend, splits) on numbers of tickers (symbol list is d dataframe with datastream_id, and tickers, containing about 6000 symbols). I'm using get_bundle_data in DatastreamPy, also using ProcessPoolExecutor to get data…
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