Global exchange operator Nasdaq has added four new data sets to its Analytics Hub which provides statistical expertise for clients ranging from hedge fund managers through to algorithmic traders.
The Analytics Hub uses machine intelligence to offer a full range of analytic methodologies, including analysis of social media sentiment, central bank communications, retail sentiment, technical factors, as well as event based signals, as part of its service.
The analytics available in the Nasdaq Hub are derived from its core data in conjunction with third-party alternative data providers. The new partners include:
Market Cap of Meme Cryptocurrency Dogecoin Spikes to Unprecedented LevelGo to article >>
- 280first (Corporate Filings) delivers data focused on changes in SEC financial filings, scoring the language to create signals to reflect changes in a firm’s plans, strategies, and risks.
- Lucena Research provides two new data sets based on artificial intelligence and algorithmic multi-factor ensemble voting to forecast equities’ price predictions.
- PredictWallStreet harnesses the collective intelligence of online retail investors, and provides daily trading signals on US equities, ADRs, and ETFs based on this retail sentiment.
The exchange operator back tests the data using a number of strategies and then uses machine intelligence to add value-added analytics to the data that allows firms to make it more actionable.
Commenting on this, Terry Wade, Senior Vice President at Nasdaq, said: “Nasdaq is continuing to bring innovation and change to the buy-side through products like the Analytics Hub. Collaborating with innovative partners to provide more signals will help provide more clarity around investing in today’s markets and will serve as a highly valuable and informative resource for our client base.”
Zhiping Zhao, co-founder of 280first, added: “We’re honored to partner with Nasdaq to help the investment community make more informed, smarter decisions. Adding our product’s actionable information from corporate filing data will become a highly valued and critical component of the Nasdaq Analytics Hub.”