Conference Day One: 16 September 2019
Monday, September 16th, 2019
Twenty years ago fund managers asked if there was alpha in traditional research and stockbroker recommendations. What followed over the next two decades was the establishment of alpha capture networks to measure the value of broker recommendations.
Today, with the exponential growth in alternative data, we ask ourselves a similar question – is there alpha in alternative data? To date this has been ascertained through extensive alpha testing by the buyers of alternative data. The recommendations and case studies from vendors are questioned like broker reports of 20 years ago.
At AI & Data Science in Trading, Eagle Alpha, is launching the first alpha capture solution based on alternative datasets. As the largest aggregator, with over 1,000 dataset relationships and growing, we are uniquely positioned to independently aggregate, track and measure dataset predictions.
The key benefits for buyers of alternative datasets include dataset prioritization and capturing alpha.