Data-driven firms are increasingly augmenting their decision-making processes using alternative data sources from news and social media.
In today’s noisy environment, it is essential to have a bigger and clearer picture of companies and countries financial activities by being able to collect, structure, and reveal important events in order the capture alpha.
Using big data and NLP technologies powered by dedicated classifiers, dictionaries and clusters for the financial industry, provides the opportunity to sift through the noise and find only the relevant events which impact financial outcomes of companies and countries.
Covering 10,000 companies globally with more than 400 events categories and subcategories.
To empower the technology, a hybrid model of machine and human is being used to provide accuracy of data classification, context, and sources to ensure maximum value for our clients.
The output is an accurate and clean dataset contains only the important events where each is scored based on its impact on the company’s performance, which indicates the direction (bullish/bearish) and duration (long/short term).
The data is presented via visually compelling, interactive dashboards or as CSV file via FTP or API.
Our data and system are being used by world-leading quants, quantamental, fundamental hedgefunds and assets managers, private equity and corporates.