Is there any way to create dynamic Fund screening (from FSCREEN app) by using Eikon/WS API ? Image a

Best Answer
-
Please try this one:
df = rd.discovery.search( view = rd.discovery.Views.FUND_QUOTES, top = 10000, filter = "(AssetState ne 'DC' and SearchAllCategoryv2 eq 'Funds' and ((RCSIssuerDomicileCountryLeaf eq 'India') and IssueLipperGlobalSchemeName xeq 'Equity India'))", select = "DTSubjectName,RIC,BusinessEntity,PI,SearchAllCategoryv3,SearchAllCategoryv2,SearchAllCategory,IssueISIN,IssueLipperGlobalSchemeName,RCSAssetCategoryLeaf,RCSIssuerDomicileCountryLeaf,RCSIssueCountryRegisteredForSale,RCSCurrencyLeaf,ExchangeName,iNAVRIC" ) df1 = rd.get_data( universe=df['RIC'].tolist(), fields=['TR.FundNAV','TR.FundName']) df1
1
Answers
-
Hello @Pradeep_N
Can you please define what you mean by Dynamic Screening?
Screener is an API available within Workspace and you can use a Python program to retrieve results from Screening query. See some of the provided Screener example with the Python version of this library.
0 -
Hi @Pradeep_N ,
As the moderator in this forum is more on the expert of API usage side of LSEG, the content expert can be reached out via
. You can raise the content query to get the SCREENER criteria of all Indian active Mutual Funds, then from that criteria, I can help you convert it into Python code for Eikon Data API, or the recommended library,0 -
@raksina.samasiri @Gurpreet thank you. I am able to get the Data what I want by using below scripts. Could please help me to modify it. I need additional data for below search result i.e. TR.FundNAV, TR.FundName. How to accomodate these two fields within this scripts.
import refinitiv.data as rd
rd.open_session()
rd.discovery.search(
view = rd.discovery.Views.FUND_QUOTES,
top = 10000,
filter = "(AssetState ne 'DC' and SearchAllCategoryv2 eq 'Funds' and ((RCSIssuerDomicileCountryLeaf eq 'India') and IssueLipperGlobalSchemeName xeq 'Equity India'))",
select = "DTSubjectName,RIC,BusinessEntity,PI,SearchAllCategoryv3,SearchAllCategoryv2,SearchAllCategory,IssueISIN,IssueLipperGlobalSchemeName,RCSAssetCategoryLeaf,RCSIssuerDomicileCountryLeaf,RCSIssueCountryRegisteredForSale,RCSCurrencyLeaf,ExchangeName,iNAVRIC"
)
0 -
Thank you very much
0
Categories
- All Categories
- 3 Polls
- 6 AHS
- 36 Alpha
- 166 App Studio
- 6 Block Chain
- 4 Bot Platform
- 18 Connected Risk APIs
- 47 Data Fusion
- 34 Data Model Discovery
- 684 Datastream
- 1.4K DSS
- 614 Eikon COM
- 5.2K Eikon Data APIs
- 10 Electronic Trading
- Generic FIX
- 7 Local Bank Node API
- 3 Trading API
- 2.9K Elektron
- 1.4K EMA
- 248 ETA
- 552 WebSocket API
- 37 FX Venues
- 14 FX Market Data
- 1 FX Post Trade
- 1 FX Trading - Matching
- 12 FX Trading – RFQ Maker
- 5 Intelligent Tagging
- 2 Legal One
- 23 Messenger Bot
- 3 Messenger Side by Side
- 9 ONESOURCE
- 7 Indirect Tax
- 60 Open Calais
- 275 Open PermID
- 44 Entity Search
- 2 Org ID
- 1 PAM
- PAM - Logging
- 6 Product Insight
- Project Tracking
- ProView
- ProView Internal
- 22 RDMS
- 1.9K Refinitiv Data Platform
- 641 Refinitiv Data Platform Libraries
- 4 LSEG Due Diligence
- LSEG Due Diligence Portal API
- 4 Refinitiv Due Dilligence Centre
- Rose's Space
- 1.2K Screening
- 18 Qual-ID API
- 13 Screening Deployed
- 23 Screening Online
- 12 World-Check Customer Risk Screener
- 1K World-Check One
- 46 World-Check One Zero Footprint
- 45 Side by Side Integration API
- 2 Test Space
- 3 Thomson One Smart
- 10 TR Knowledge Graph
- 151 Transactions
- 143 REDI API
- 1.8K TREP APIs
- 4 CAT
- 26 DACS Station
- 121 Open DACS
- 1.1K RFA
- 104 UPA
- 191 TREP Infrastructure
- 228 TRKD
- 915 TRTH
- 5 Velocity Analytics
- 9 Wealth Management Web Services
- 89 Workspace SDK
- 11 Element Framework
- 5 Grid
- 18 World-Check Data File
- 1 Yield Book Analytics
- 46 中文论坛