How do we use Eikon API or RDP to pull the ICE TTF forward curve for any given settlement date pl...

...ease?

For example, it seemed like RDP is the easier option as it works if we use rd.get_history('0#.FTSE'), but if it is rd.get_history('0#TFMBM:') then I get error "No data to return"...

Asking on behalf of client, thanks.

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Accepted answers

Jirapongse

@candice.ting

It looks like the rd.get_history method is unable to expand this chain RIC (0#TFMBM:). We need to find a way to expand this RIC. If the client uses a desktop session, the client can use ek.get_data method to expand this chain RIC.

import refinitive.data.icon as ek
 ek.set_app_key('<app key>')
df, err = ek.get_data(['0#TFMBM:'], ['DSPLY_NAME']);

The output is:

Then, I removed '/' from RICs and sent the list to the rd.get_history method.

instrument_list = df["Instrument"]
instrument_list = map( lambda x: x if x[0]!='/' else x[1:], instrument_list)
instrument_list = list(instrument_list)
rd.get_history(universe=instrument_list)

The output is:

All comments

Jirapongse

@candice.ting

import refinitive.data.icon as ek
 ek.set_app_key('<app key>')
df, err = ek.get_data(['0#TFMBM:'], ['DSPLY_NAME']);

The output is:

Then, I removed '/' from RICs and sent the list to the rd.get_history method.

instrument_list = df["Instrument"]
instrument_list = map( lambda x: x if x[0]!='/' else x[1:], instrument_list)
instrument_list = list(instrument_list)
rd.get_history(universe=instrument_list)

The output is:

candice.ting

Hi Jirapongse,

Thank you for your answer. Can you also help incorporate the function to include start/end date parameters so user can specify the date range himself?

Thank you again,

Candice

Jirapongse

@candice.ting

The client can run help(rd.get_history) to see the available parameters of this method.

Parameters
    ----------
        universe: str | list
            instruments to request.
        fields: str | list, optional
            fields to request.
        interval: str, optional
            The consolidation interval. Supported intervals are:
            tick, tas, taq, minute, 1min, 5min, 10min, 30min, 60min, hourly, 1h, daily,
            1d, 1D, 7D, 7d, weekly, 1W, monthly, 1M, quarterly, 3M, 6M, yearly, 1Y
        start: str or date or datetime or timedelta, optional
            The start date and timestamp of the query in ISO8601 with UTC only
        end: str or date or datetime or timedelta, optional
            The end date and timestamp of the query in ISO8601 with UTC only
        adjustments : str, optional
            The adjustment
        count : int, optional
            The maximum number of data returned. Values range: 1 - 10000
        use_field_names_in_headers : bool, optional
            Return field name in headers instead of title

    Returns
    -------
    pandas.DataFrame

     Examples
    --------
    >>> get_history(universe="GOOG.O")
    >>> get_history(universe="GOOG.O", fields="tr.Revenue", interval="1Y")
    >>> get_history(
    ...     universe="GOOG.O",
    ...     fields=["BID", "ASK", "tr.Revenue"],
    ...     interval="1Y",
    ...     start="2015-01-01",
    ...     end="2020-10-01",
    ... )

To specify the date range, the client can use the start and end parameters. For example:

rd.get_history(universe=instrument_list, start="2022-06-01", end="2022-06-30")

The output is:

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