OptionMetrics, an options database and analytics provider for institutional investors and academic researchers, will be sponsoring and exhibiting at AI & Data Science in Trading, March 18 “ 20, 2019 at the Metropolitan Pavilion in New York City.
The conference will focus on how senior management from hedge funds and investment banks can maximize opportunities for artificial intelligence (AI) and alternative data. OptionMetrics will be demonstrating how its IvyDB historical options databases for U.S., Canada, Europe, Asia, and global indices can be used in helping to construct options investment strategies, assisting with empirical research, and assessing risk.
With increasing interest in leveraging AI and data science to develop new trading strategies, OptionMetrics CEO David Hait, Ph.D., says his team is eager to share how options data might be leveraged alongside these to offer greater insight into markets.
With the options market experiencing explosive growth, hedge fund, investment bank, and pension plan managers are increasingly looking to them to provide greater insight into trading signals to get, potentially, higher returns without increased risk, said Hait. As the leading supplier of historical options data, we look forward to being part of the conversation on how this data can be leveraged alongside emerging technologies.
To secure a meeting with OptionMetrics at AI & Data Science in Trading, email Eran Steinberg.
Founded in 1999, OptionMetrics distributes its IvyDB historical options databases for U.S., Canada, Europe, Asia, Canada, and global indices to corporate and institutional subscribers, as well as top business schools worldwide. It has covered every U.S. strike and expiration option on over 3,000 underlying stocks and indices since 1996. Leading portfolio managers, equity options traders, and quantitative researchers rely on OptionMetrics for extensive, high-quality data to construct and test options investment strategies, perform empirical research, and accurately assess risk. www.optionmetrics.com, LinkedIn, Twitter, Facebook.