Quantitative Brokers and InfoReach Partner to Deliver Relative Value Trading for Futures
Quantitative Brokers (“QB”), a world leading provider of clearer and dealerneutral agency algorithms for fixed income and futures markets, has partnered with InfoReach, an independent provider of multi-broker, cross-asset, electronic trading technology. InfoReach has integrated QB’s full suite of algorithms, including LEGGER, which supports relative value trading of userdefined, futures versus futures structures. The partnership will allow users of InfoReach’s electronic trading platform to submit and manage outright and inter-commodity futures trades through QB’s best execution algorithms.
QB’s LEGGER algorithm is an inter-commodity, multi-leg execution strategy that allows clients to intelligently execute risk simultaneously across multiple trading “legs”. A detailed Transactional Cost Analysis (TCA) report is generated for each trade, providing full transparency and slippage measurement.
InfoReach has incorporated QB’s LEGGER algorithm into its Trade Management System (TMS), which is built to provide optimal execution and trade analysis to both buy and sell-side institutions.
“Relative value and spread traders are constantly seeking more intelligent and transparent means by which they can consistently execute and capture more alpha,” said Christian Hauff, CEO and co-founder of QB. “Whether you are trading across the curve, inter-exchange or rolling a calendar spread, every fill and tick matters. Teaming up with InfoReach opens the door to more futures traders to access best execution, agency algorithms from their desktop.”
“Today, we have a global customer base that is always looking to optimize their execution quality,” said Allen Zaydlin, CEO of InfoReach. “We are confident that bringing in QB to further advance our futures and multi-leg futures trading capabilities will make us the preferred electronic trading provider in the industry.” July 2015 also marked the 5th anniversary of the first official client trade that utilized QB’s best execution algorithms.
Source: Quantitative Brokers
