Bloomberg Tradebook, the group’s global agency brokerage business, has released a new algorithm for its cross-asset trading platform, PAIR, helping give its existing clients improved trading capabilities, per a Bloomberg statement.
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Bloomberg Tradebook helps partner with both the buy side and sell side, thereby providing direct market access, liquidity, market insight, an independent research via its Bloomberg Professional service. The deployment of the new algorithm will help enable Bloomberg Tradebook clients to trade one security relative to a set benchmark.
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The new algorithm on PAIR will also look to mitigate the costs of trading and better execute risk management. The PAIR platform launched back in 2009, which caters to multiple asset classes, including equities, options and futures, among others. The platform is also integrated with the Bloomberg Professional service, which extends its capabilities to Bloomberg Tradebook clients.
Cross-Asset Trading Capabilities
The new Relative Benchmark Trading algorithm is important for traders as it can help leverage Bloomberg’s data to seek gains from the dynamic relative pricing of securities. This is accomplished by tracking the performance of other instruments that ultimately influence the price of a given stock.
Furthermore, existing Bloomberg Tradebook clients can select benchmarks from a broad pool of tickers at their disposal via the Bloomberg Professional service. According to Michael Baradas, Cross Asset Product Manager at Bloomberg Tradebook, in a statement on the algo: “In today’s complex global equity markets, buy-side traders need an integrated system for order and execution management that can help them gain greater control of their trading decisions.”
“With the new Relative Benchmark Trading algorithm on the PAIR platform, Bloomberg Tradebook is empowering clients with the tools needed to implement and execute the most effective alpha-generating strategies,” he added.