Equity Automation : How does it improve trading performance | Bloomberg Professional Services
Webinar

Equity Automation : How Does It Improve Trading Performance

Equity automation improves performance and strengthens best execution. 

Equity traders manage thousands of orders from multiple portfolio managers, in diverse markets, with distinct instructions amid varying market conditions, while striving to achieve best execution. Trading desks use an Execution Management System (EMS) to view market intelligence and access trading destinations to execute their orders. Now, more firms are looking to automated trading within their EMSs to optimize execution, manage transaction costs, and reduce performance setbacks from trading delays. 

The known benefits of automation for operational efficiency, like systematically managing and freeing up a trader’s blotter, are widely acknowledged. However, the impact of automation on trade execution performance has been underexplored.

The data showed that U.S. and European equity trading desks that use Bloomberg RBLD show performance improvement in both automated and manual orders.

Speakers

Aimee Ryan

Listed Equity Trading Products Sales and Account Management Team Leader

Bloomberg

Aimee Ryan is the EMEA Team Leader Equity and ETF Trading platforms for account management and sales. She started her career within the sellside where she worked as an equities sales trader before moving into into the trading technology solutions space 10 years ago. She has held various leadership positions across Bloomberg's electronic trading franchise.

Shaurya Aggrawal

Trading Automation Product Manager

Bloomberg

Based out of New York City, Shaurya is the Product Manager of RBLD (Rule Builder) at Bloomberg, responsible for developing the Listed Equities and ETF businesses globally. With prior experience in Equities Trading at Goldman Sachs and Pragma, Shaurya brings expertise in systematic trading, TCA, and market microstructure to his role. He recently led the publication of a Bloomberg study on automated equity trading's impact on performance. Currently pursuing an MBA at NYU Stern School of Business, Shaurya's interests in corporate strategy, game theory, and macroeconomics drive his passion for innovation in the financial sector.

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