TradingScreen and BondCliQ team up

Source: TradingScreen

TradingScreen Inc. (TS), the all-asset class order and execution management system (OEMS), today announced a partnership and product integration with BondCliQ, the corporate bond market's first central market system.

The integration of BondCliQ's U.S. Corporate traded volume data will provide buy-side clients with an instant, contextualized, intelligent and transparent view of decision quality market data. BondCliQ is the first data provider in the TS TradeSmart EMS content hub.

"Fixed Income is incredibly fragmented and – as any buy-side trader knows – there are many obstacles to access and analyze the right bond market data efficiently," said Paul Reynolds, Head of Fixed Income at TradingScreen. "BondCliQ has figured out how to aggregate, simplify and visualize TRACE data – and now TradingScreen can bring it to life in an actionable way through this first to market product integration."

BondCliQ's visualization tools for post-trade data on U.S. dollar-denominated corporate bonds will be integrated into TradeSmart, TS' one-touch OEMS workflow solution, which is designed to support best execution across all asset classes. BondCliQ reduces the friction in culling and combing through massive data sets by bringing the value of macro insights as well as the ability to focus specifically on sector, maturity, credit rating, and size of trade.

"Now, TradingScreen customers can access the intel they need and seamlessly act upon it – within the same workflow," said Chris White, BondCliQ CEO. "Additionally, giving traders more data to inform their trades and helping to enable the best execution might also help support fixed income clients in fulfilling current and future regulatory mandates for best selection and execution, such as MiFID II."

BondCliQ trade data will further fuel TS enhanced pre-trade TCA analysis so traders can accurately benchmark execution performance. Further out, pre-trade data integration will offer clients enriched capabilities to best predict fair market value for upcoming trades. 

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