TradeTech 2021 Research: Improve Trading Efficiency with Data Analytics
How AI, Machine Learning, and Data Visualization Help Overcome Volatility for the Buy-Side and Sell-Side
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What are the key challenges facing traders in 2021 and 2022?
WBR surveyed over 100 heads of trading from global buy-side and sell-side firms to learn about the impact of Covid-19, key challenges they are experiencing, and the types of innovative solutions they are turning to in 2021 and beyond.
Compiled by WBR and featuring contributions from Bruce Zulu, Director of Technical Support, Altair Panopticon Streaming Analytics, and Mahalingham Srikanth, CTO at Altair, this in-depth research report examines the increasing importance of Artificial Intelligence (AI), Machine Learning (ML), and real-time data visualization for traders and their team. Explore solutions to core issues traders are facing when leveraging data analytics.
"By implementing stream processing applications like Corvil or similar tools combined with real-time data visualization, firms can achieve a more accurate view of client, inbound, and venue latency impacting orders or venue SLA breaches. More and more of our banking clients, especially on the sell-side, are looking at latency as a major point of leverage for their data analytics investments.”- Bruce Zulu, Director of Technical Support, Altair Panopticon Streaming Analytics
Access the research report now to discover how you can achieve optimized trading analytics.
Contributors
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