By harnessing the power of data collection, Natural Language Processing (NLP) and other AI techniques, you can glean insights into emerging issues with municipal obligors (and associated muni bonds at the CUSIP level). Our AI-driven content enables businesses to make sense of the overabundance of news and other unstructured data sources in real time.
Case in point - Alabama’s city of Selma had their credit rating downgraded by S&P Global Ratings in 2018. The high probability of a SPUR rating devaluation for Selma was clear to Bitvore users. There were a series of reported indicators leading up to the ratings change that we captured and weighted using AI and machine learning algorithms.
Bitvore AI surveils all U.S. muni obligors and CUSIPs and provides early warnings on material changes. You can use our AI platform to monitor and analyze hundreds of thousands of articles a day, simplifying a research processes from 10 hours down to as little as 10 minutes. And that research is made more fruitful by revealing trends and educated predictions.
For a snapshot on the data leading up to Selma’s credit change, download the case study below.