Eagle Alpha organized the first showcase events of consumer transaction datasets in NYC (March 23rd, 2017) and London (March 21st, 2017). Five alternative data companies pitched to 100 buyside firms in NYC and 40 in London.
In this series we want to bring some key Data and Software Engineering topics to our audience. A particular focus will be on cloud services which can be created and deployed just in time, meaning new teams can get off the ground quickly and use best practices.
Newsweek and International Business Times held an Artificial Intelligence and Data Science in Capital Markets conference in London on March 1-2, 2017.
Eagle Alpha’s trade data partner employs big data and predictive analytics techniques, and more than 25,000 times series, to forecast trade balance and industrial production statistics.
Starting with macro-related alternative data, we investigate the appeal of web search data to predict macroeconomic indicators which in academic literature shows some promising results.
According to Eagle Alpha, their China Auto Insight (CAI) dataset is provided through an exclusive partnership with a leading Chinese financial automotive consultant.
Winton Capital Management organized a data science workshop at its San Francisco office that opened last year.
On 10 March 2017, Citi published a report titled “Searching for Alpha: Big Data.” 9 pages of the report are devoted to Eagle Alpha and our database of alternative data providers, including detailed case studies on 5 data sources.
In its recent Global Equity Outlook, BlackRock outlined its position on the attractiveness of China’s equities: “Making money in Chinese stocks requires dropping one’s preconceptions, paying close attention to policy priorities and using new data sources to generate ideas.
Trade nowcasting indicators provide valuable insights into international trade and industrial production.
In our recent conversations with industry partners, there is one issue that comes up repeatedly – the issue of explanation, i.e. explanation of machine learning models, the associated transparency and trust.
The data provides unparalleled granularity on shipping trends in a very timely fashion. This has demonstrated a strong relationship with multiple economic variables including trade balances and company revenues.
