Upgrade from Eikon -> Workspace. Learn about programming differences.

For a deeper look into our Eikon Data API, look into:

Overview |  Quickstart |  Documentation |  Downloads |  Tutorials |  Articles

question

Upvotes
Accepted
5 0 1 3

Discrepancies/Errors between Python API and Refinitiv Eikon data

Hello,


I have been recently retrieving brokerage recommendations from Reuters using the Python Eikon API.

I am interested in the price target and the grade recommendation assigned by a brokerage to a stock.

Because I need this information to be accurate, I have been handchecking data returned and have found many

errors and discrepancies between what the Python API returns and what is shown by Eikon in the Reuters terminal.

For example, I use the following code to pull recommendations for ticker IRT:

import json

symbol_list = ['IRT']
fields = [
              'TR.TPEstvalue.brokername',
              'TR.TPEstValue', 'TR.TPEstValue.date',
              'TR.BrkRecLabel', 'TR.TPEstvalue.analystname',
              'TR.RecLabelEst',
              'TR.RecEstValue', 'TR.BrkRecEstConfirmDate'
         ]
data = ek.get_data(instruments=symbol_list, fields=fields, raw_output=True)
print(json.dumps(data, indent=2, sort_keys=True))


The results for brokerage RBC are the following:

screenshot-48-min.png


Python API says RBC is at a Neutral rating for ticker IRT.

However, the following is returned for when looking at recommendations on the Reuters Terminal:

screenshot-49-min.png


As you can notice, the true grade is an Outperform/Buy rating, not Neutral.

I have posted before on this issue (see "Possible BrkRecLabel and RecEstValue Data Errors"), and this is not an issue of fields retrieved.

I have also been in contact with the Eikon Help Desk, who confirmed data is correct on their end (see case 11302953).

This is a Python API data issue that needs to be corrected. Let me know if more examples would be helpful. These discrepancies appear

in many brokerages and stocks so I have many available.

eikon-data-apirefinitiv-dataplatform-eikondatapython apierror
icon clock
10 |1500

Up to 2 attachments (including images) can be used with a maximum of 512.0 KiB each and 1.0 MiB total.

Hello @bshapiro

Thank you for your participation in the forum. Is the reply below satisfactory in resolving your query?


If so please can you click the 'Accept' text next to the appropriate reply? This will guide all community members who have a similar question.

Thanks,


AHS


@bshapiro

Hi,

Please be informed that a reply has been verified as correct in answering the question, and marked as such.

Thanks,

AHS

Upvote
Accepted
17.3k 82 39 63

Hi @bshapiro

I've reached out to content specialist who provided an explanation as to what is happening. Specifically, it appears to be a common issue if you mix specific data sets - target price and broker recommendations - in one request. Each data set is sorted differently in the backend.

A proposed solution is to perform 2 separate queries for the different datasets and combine them.

For example:

import eikon as ek
import pandas as pd
from functools import reduce
...

symbol_list = ['IRT']
fields = ['TR.BrkRecLabel.brokername', 'TR.BrkRecLabel', 
          'TR.BrkRecLabel.date'
         ]
data1, err = ek.get_data(instruments=symbol_list, fields=fields)
data1


symbol_list = ['IRT']
fields = ['TR.TPEstValue.brokername', 'TR.TPEstValue.analystname', 
          'TR.TPEstValue', 'TR.TPEstValue.date'
         ]
data2, err = ek.get_data(instruments=symbol_list, fields=fields)
data2


Combine them:

result = reduce(lambda x,y: pd.merge(x,y, on='Broker Name', how='outer'), [data1, data2])
result

ahs.png


ahs.png (51.4 KiB)
icon clock
10 |1500

Up to 2 attachments (including images) can be used with a maximum of 512.0 KiB each and 1.0 MiB total.

Upvotes
5 0 1 3


I can confirm Refinitiv Eikon data is correct since I have the most recent RBC publishing that declares the recommendation:


screenshot-50-min.png


icon clock
10 |1500

Up to 2 attachments (including images) can be used with a maximum of 512.0 KiB each and 1.0 MiB total.

Hi @bshapiro,

I've reached out to the content specialist team to get involved. Sorry for the long delay - I will keep a close watch on this and ensure someone will get back to you.

Upvotes
1.3k 3 2 4

Hi @bshapiro ,

Thank you for your feedback.

This a content data from fundamental data service that Python API can't fix.
I raised this issue to relevant team.

icon clock
10 |1500

Up to 2 attachments (including images) can be used with a maximum of 512.0 KiB each and 1.0 MiB total.

@pf

Hello, it has been about a week since I asked this question. Are there any updates to this issue? And can you put me in contact with the relevant team working on this?

@pf

Hello, can I have a response on the status of this issue?

Write an Answer

Hint: Notify or tag a user in this post by typing @username.

Up to 2 attachments (including images) can be used with a maximum of 512.0 KiB each and 1.0 MiB total.