May 5, 2022
Quant Strats is the leading event for quantitative investment thought-leaders and the meeting place for the entire quantitative investment ecosystem.
Sponsored by RavenPack, Quant Strats 2022, will bring together the leading minds on quantitative investment strategies, from hedge funds, asset managers and investment banks. Formerly known as AI and Data Science in Trading, this event will gather over 30 speakers who will share their knowledge on applying model-based, quantitative investment strategies, leverage technology and utilize dynamic risk management to ensure increased returns.
This one-day in-person event offers a great opportunity to connect with like-minded quantitative practitioners and top-profile industry leaders, as well as listen to experts from those leading the way within quantitative strategies and gain tangible insights to help give you a competitive advantage.
RavenPack’s Head of Data Science Innovation, Marko Kangrga, will join the “exploring the role of NLP in quantitative strategies for a competitive advantage” panel discussion to share the very latest technology and solution in quantitative investment for a competitive advantage.
Additionally, RavenPack’s Chief Data Scientist, Peter Hafez, will share his latest insights in the panel discussion “identifying unexplored sources of alpha within alternative assets for increased performance and returns”.
See full agenda
: 5th May 2022
: Venue Announced: Convene Liberty Plaza, New York, USA
Chief Data Scientist
9:20am - 10:10am EST
Identifying unexplored sources of alpha within alternative assets for increased performance and returns
Exploring the technology, tools and application of quantitative investing within digital assets
Identifying the challenges and opportunities presented from quant investing within crypto and other alternative assets
Adjusting investment strategies to reflect investor preferences
Head of Data Science Innovation
12:00pm - 12:40pm EST
Exploring the role of NLP in Quantitative Strategies for a competitive advantage
Leveraging NLP and sentiment analysis for better investment decisions
Utilizing NLP to expand data sources and provide meaningful market
Exploring the potential advantages of sentence-based NLP and advanced
NLP tools for increased returns
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