• Historical & Upcoming Events List: I need to retrieve a schedule of economic events, including upcoming dates, historical events, previously published values, forecasts, and revisions.
  
• Real-Time Updates: I need to listen for and receive the actual published values in real-time the moment the data is announced.
  

While I am already familiar with the =ECI RIC structure for macroeconomic indicators, I am struggling to find the exact services to call. Could you please provide:

• REST Endpoints: What are the exact API endpoints for fetching the historical data and the calendar structure?
  
• Streaming Solution: Which specific streaming service or endpoint (e.g., WebSocket API) is recommended for real-time announcements of these =ECI RICs?
  
• Documentation: Could you share direct links to the relevant API documentation, reference guides, or tutorials for these specific endpoints?
  

Thank you in advance for pointing me to the right documentation and endpoints!

I'm looking to convert from SQLX to Python. Therefore, I am seeking confirmation that I would be able to accurately recreate the two Python scripts (examples) listed below through an API key, with the data from Workspace.

1. https://github.com/LSEG-API-Samples/Example.EikonDAPI.Python.EconomicValueAdded/blob/master/FR_EVA_Model_GH.ipynb
2. https://github.com/LSEG-API-Samples/Article.EikonAPI.Python.EconomicProfit/blob/master/EconomicValueAdded.ipynb

Please confirm and thanks for your help.

When I provided the result of Code creator, they want to know how they can set the parameters but per checking this seems to be not possible.

Can you help and advise on this?

Similar to what you can see in the economic monitor in the desktop app

When the US Jobs report (RIC: USNFAR=ECI) is released, they also send in revisions for prior months along with new data for the month. We noticed that the values in get_history call from LSEG python library does not reflect these revisions for prior months for few hours… today the values were updated 2-3 hours after the initial release. When we use get_history, we just specify the ric and do not include additional parameters.

Is there a way to ensure we get the revisions in a timely manner? Are there parameters we need to consider? Or is there a way to use get_data and get more than this and prior month's data?

There is monthly data in the chart. But when I was looking for the field to get this data, I checked for the DIB, but I could not find the right Item Code for the indicator.

I think it should be 'ECON_ACT'. But no data was shown when I checked for this Item Code.

Below is the code and output:

I'm working with the pricing stream API and I've encountered an issue specifically with subscribing to economic data.

I am able to successfully create a stream for bid and ask of EUR=. The stream opens correctly, the status changes to 'Live', and I receive updates as expected.

However, when I try to subscribe to economic data indicators, the stream status perpetually remains 'Pending' and never seems to go live. I don't receive any updates, nor do I get any error messages.
Here is the Python code snippet I'm using to define and open the stream for economic data (I only changed ticker and fields):

```Python
stream_definition = pricing.Definition( universe=["USJOB=ECI", "USOILC=ECI"],fields=["ECON_ACT", "RTR_POLL", "ECON_PRIOR"])

# Bind all necessary callbacks for verification
stream = stream_definition.get_stream()

stream.on_status(self._on_status_change)

stream.on_update(self._on_update_received)

stream.on_error(self._on_error)

# Open the stream
stream.open(with_updates=True)
```

I confirmed the status is Pending, but it never progresses beyond that.

Given that economic data is not continuous and is released at specific, scheduled times, should the stream correctly remain in a 'Pending' state until the moment of the data release? Or should it become 'Live' immediately after opening, and then just wait to send an update?

Any clarification or guidance on how to properly stream economic data would be greatly appreciated.

Thank you in advance!

Any reference material will be very helpful.

I am quite new to Refinitiv Workspace and have up until now only retrieved company information in Excel using the formula builder.

However, now I need to retrieve historical GDP data in Excel for broader geographic regions, namely the US, Europe and Asia from the year 2002 until 2012. Is there any way to do so?

In another post I have already found the code of the Economic Indicator in order to retrieve GDP data for the US, which would be "aUSXGDP/C" (or "aUSXGDP/CA" in case the first one would not work). This first code worked, however the post said to simply adapt the two letters of the country code respectively. However, I am not sure how to proceed now, as I am looking for information on regions, not only countries and when trying to impute "EU" instead, it did not work. Does anyone know how to proceed in this case?

I would be really grateful for any kind of help! Thank you very much!

Can you please check if there is access to the Economic Monitor data, i.e. access to the full economic calendar via Phyton API?

But the most important / what I care about is: local date, local time, country, indicator name, period and the market impact.

Raised this on client's behalf. Looking forward to your response.

Client Name: Rafael Jose
Account Name: Leonteq Securities (Europe) GmbH, Sucursal em Portugal

Can someone assist me with this please? I have attached relevant screenshots below:

Python LSEG Data API Result

Excel Workspace

Quote Page

Code to replicate on Python:

import lseg.data as rd

rd.open_session()

df = rd.get_data(

    universe = ['EUECBR=ECI'],

    fields = [

        'ECON_ACT',

        'ECON_PRIOR',

        'PDOR_1',

    ]

)


print(df.to_string())

Please Note: This works properly with the refinitiv-data API but not the lseg-data API.

our economic data's logic is blur, user want to test market reaction when economic data publishes. But either cannot get the Latest data (for example, the latest data is of 13th September with no data), or cannot get the last publish date, which is 16th August.

i've got an issue downloading historic data for economic indicators. my code is this:

df = rd.get_history(
    universe=['aUSSPDIVY'],
    interval="monthly",
    start="1924-03-01"
)
print(df)

aUSSPDIVY      VALUE
Date                
2022-05-31  1.567599
2022-06-30  1.641982
2022-07-31   1.64768
2022-08-31  1.560287
2022-09-30   1.69635
2022-10-31  1.767346
2022-11-30  1.694609
2022-12-31  1.710467
2023-01-31  1.700476
2023-02-28  1.661403
2023-03-31   1.71876
2023-04-30  1.659037
2023-05-31  1.653171
2023-06-30  1.581222
2023-07-31  1.528613
2023-08-31  1.550517
2023-09-30  1.572049
2023-10-31   1.63122
2023-11-30   1.56889
2023-12-31  1.500596

which gives me history back to 2022-05-31.

however, i can clearly see in Eikon that history exists until 1871 (though chart only shows 1924):

what do i do wrong?

apart from the above issue, which btw. only responds with Date and Value, i thought, based on DIB for the item, i should be able to get back the following fields:

actually all of the fields, but for this issue i just focus on the two in the red box.

but when trying to query those:

df = rd.get_history(
    universe=['USJOB=ECI'],
    fields=["ECON_ACT", "ECON_PRIOR"],
    interval="monthly",
    start="1924-03-01"
)
print(df)

i am greeted with an error message:

RDError: Error code -1 | No data to return, please check errors: ERROR: No successful response.
(TSCC.Economics.UserRequestError.96104, The universe does not support the following fields: [ECON_ACT, ECON_PRIOR])

so, i clearly do something wrong again. can you please let me know what that is?

thanks,
Andreas

Many thanks

Alex

df=ek.get_timeseries(['USCPNY=ECI'],fields=['TIMESTAMP', 'TRADE_DATE','VALUE'],calendar='native',start_date='2007-03-01',interval='monthly')#,fields=['DSPLY_NMLL','RELEVANCE','ACT_REL_ST','ECI_ACT_DT','ACT_VAL_NS','UNIT_PREFX','FCAST_PRD','RPT_UNITS','ECON_ACT','ECON_PRIOR','RTR_POLL','FCAST_SEST'])
display(df)

Figure1. Output from notebook

Figure2. Desired output should have date: October 12 2023.

Another approach I attempted: use ek.get_data, which I found the CF_DATE to correspond to the date of release, but in this case ek.get_data returns a single point rather than a dataframe/timeseries.

df, err = ek.get_data(
    instruments = ['USCPNY=ECI'],
    fields = ['CF_TIME','CF_DATE',
        'TR.IndicatorLastObservationDate',
        'TR.IndicatorStartDate',
        'TR.IndicatorType',
        'TR.IndicatorSeasonalAdj',
        'TR.IndicatorBaseYear',
        'TR.IndicatorPeriodicity',
        'ACT_STA_DT',
        'ACT_END_DT',
        'ACT_VAL_NS',
        'ACT_END_DT',
        'ACT_VAL_NS',
        'NDOR_1',
        'TRADE_DATE',
        'REF_PRD',
        'ECON_ACT',
        'GN_TXT16_4'
    ],parameters={"SDate":"2007-01-01",'EDate':"2023-10-14

Thank you very much.

RKD Street Event - Economic Headlines and Streaming API from RDP.

But here are some questions.

1. Is it possible to subscribe to the whole Economic Indicators? This means subscribing to every indicator with postfix "=ECI".

2. Is there a way to match the upcoming Economic Indicator to the Economic Headline event from RKD Street Event - Economic Headline API?.

(I think I can match them when the actual value and the date field:SRC_ES_NS are up, but how to I match them if actual values are not out yet?)

Thank you.

How can I get all economic releases, all fields, for a specific date range, using the TR Desktop SDK?

thx

I would like to create a database where I extract the values in Column A, Country in column B, Year in column C, month in column D. In a monthly way for Sheet 1, and in a Quarterly way in Sheet 2 (JFM, AMJ, JAS, OND).

I did make a code for future prices but it is not working well when I switch to the economic variables. I can share this if of any help, though is quite big, not the most efficient code. Any help or idea please?

Thank you

import DatastreamPy as dsws
import pandas as pd

# set up connection
def connection_DSWS():
    DSWS_username = open("DSWSUsername.txt","r")
    DSWS_password = open("DSWSPassword.txt","r")

    ds = dsws.Datastream(username = str(DSWS_username.read()),
                         password = str(DSWS_password.read()))

    DSWS_username.close()
    DSWS_password.close()
    return ds 

def return_data(start, end, tickers, eom=False, period=12, format_date="Other"):      
    ds = connection_DSWS()
    df = ds.get_data(tickers=tickers, start=start, end=end, freq="M")
    df
    return df

Tickers = 'USCONPRCE(ES)*DUMMYMTE,USCNFBUSQ(ES)*DUMMYMTE,TRUS10T(RY)*DUMMYMTE' 
StartDate = "2020-12-31" #Put start date with the following format "yyyy-mm-dd"
EndDate = "2022-02-22" #same above for end date
FormatDate = "yyyymmdd" #Format in the csv 
Period = 3 # Period of ROC and MOM
path = "Output.csv"
EndOfMonth = True #True if you use *DUMMYMTE, you have to use it for all elements to have EOM data

df = return_data(StartDate, EndDate, Tickers, EndOfMonth, Period, FormatDate)

df

How to clean the dataframe so that the output into a csv file, comma delimited, with the ticker names in the headline and the date into the yyyymmdd format, will be exactly like this (see below) ?

Date,USCONPRCE,USCNFBUSQ,TRUS10T

20201231,261.564,60.5,0.912

20210129,262.200,59.4,1.094

20210226,263.346,60.9,1.456

20210331,265.028,63.7,1.746

Thanks!