Liquidnet Aims to Take Power from the Sell Side with Virtual High Touch Launch
New trading solution combines data analysis, adaptive learning algorithms, unique liquidity search tools, and real-time analytics.
VHT comprises data analysis, adaptive learning algorithms, unique liquidity search tools, and real-time analytics, although some elements of the technology have not yet been rolled out to the EMEA region.
The release also includes the second generation of Liquidnet's Algo Ranking Model, and the Real-Time Course Correction tool, which generates a complete profile of an order before ranking Liquidnet's Next Gen Algo suite according to the trader's execution objectives. Algo Ranking Model currently is only available for US equities and will be rolled out globally in 2017.
"It is very clear to us that a buy-side trader armed with Virtual High Touch technology has great potential to be a key contributor to institutional performance. VHT is about empowering them to not only become more self-sufficient in achieving best execution, but also demonstrate the alpha they are capturing for their firms," said Rob Laible, global head of execution and quantitative services at Liquidnet, in a statement. "These offerings are just the beginning. We will continue to provide the buy side with the tools, intelligence, and market insight they need to further transform their role."
In July, Liquidnet launched Fixed Income Targeted Invitations, a tool designed for buy-side traders seeking liquidity in its fixed-income dark pool.
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