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The industry in the US transitioned from LIBOR to SOFR, the leading alternative benchmark, on 30th June 2023. In the post Libor world, the ability to offer predictive rate data to financial market participants helps improve marketplace efficiency and transparency.
Data sourced by taking incoming data from both Tradition and BNY Mellon, and using a proprietary methodology, we produce a volume-weighted median repo rate throughout the day which informs our clients of where SOFR will fix the following day.
Market data is updated real-time directly sourced from various trading platforms.
CSV files for houtly snaps , FIX API for Real-time
1. Market leading GC Repo trade and volume data sourced from Tradition’s leading inter-dealer brokerage desk, number one ranking
2. Tri-party GC Repo trade and volume data cleared through BNYM
The service takes the incoming data from both providers, and uses a proprietary methodology to produce a simple average combination repo rate, throughout the day.
This document and its contents are confidential. It is intended solely for the use of the individual or entity to which it is provided. Information contained herein is the property of Compagnie Financière Tradition S.A. or any of its subsidiaries and/or TraditionData (together “Tradition”). Unauthorised disclosure, copying or distribution of such information is strictly prohibited, and the information shall not be redistributed in any form to any third party, in each case without the prior consent of Tradition. Whilst every effort is made to ensure the accuracy of the information contained herein, no warranty, condition or guarantee is given by Tradition in respect of any information. Nothing herein constitutes investment advice or an offer, or solicitation of an offer, to buy or sell any financial product. To the maximum extent of the law, Tradition accepts no responsibility for any reliance placed on the contents of this document and accepts no liability for any direct, indirect or any other loss arising out of any use of the information contained in this document or any omission from it. It is not intended for distribution to, or use by any person or entity in any jurisdiction or country where such distribution or use would be contrary to any applicable law or regulation. Copyright © Tradition. TraditionData is a trade mark of Tradition. Commercial in Confidence. August 2024
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