We will be shortly adding new endpoints to our API.
The first new API endpoint is based on social media posts of those authors that are either investors / traders / hedge funds / other professional investors. After collecting tweets of these authors we compute sentiment using SVM machine learning model and number of mentions for them.
We provide this data on the hourly basis, in form of Investor Sentiment Index and Investor Social Buzz Index. They give background information on opinions of investor community.
The other API endpoint is based on the segmentation of authors, based on the number of followers that they have.
These influencer indices are computed by segmenting social media tweets depending on the number of followers of the author, we distinguish between 3 group of authors:
small following social media users - those that have less than 100 followers medium following social media users - those between 100 and 1000 followers large following social media users - those with more than 1000 followers We then compute average sentiment and number of mentions from social media posts of each group of users, resulting in three sets of indices, shown in charts below.