Returns the entities and events hidden within the text using Natural Language processing, text analytics, and data-mining technologies to derive meaning from all that unstructured information from news aggregation, blogs, PR announcements, companies’ websites, financial social media, and more.

Data process – this stage is done by NLP technology which uses our classifiers and filters to extract the pre-indexed events and companies and removes all unnecessary data. The last stage is the human inspection of the data which includes a manual visit of each source to ensure the accuracy of the NLP data process and to find new events that we don’t have in our DB.

Each event is scored based on its impact on the company’s performance, which indicates the direction (bullish/bearish) and duration (long/short term).

Data delivery- daily between San-Fri, 52 weeks a year.

• Data history – From Jan 2017

• Structure machine-readable dataset

• Point-in-time data collection methodology

• Delivered daily via S3, Dashboards