Emotional Data Intelligence
Environmental, Social, Governance
Stockpulse the sine qua non for successful ESG investments
Environmental, social, and governance (ESG) criteria are a set of standards for a company’s operations that socially conscious investors use to screen potential investments. Environmental criteria consider how a company performs as a steward of nature. Social criteria examine how it manages relationships with employees, suppliers, customers, and the communities where it operates.
Governance deals with a company’s leadership, executive pay, audits, internal control, and shareholder rights. Many financial advisors focus already entirely on ESG compliant investment today, putting ESG thinking at the heart and center of their investment process.
Stockpulse is here to assist.
STOCKPULSE THE INDISPENSABLE TOOL TO PICK TOMORROW'S WINNERS
Stockpulse presents the future of investment, Emotional Data Intelligence. Modern asset managers and hedge funds invest in ESG compliant indices containing a large number of stocks. Stockpulse's AI selects the winners based on present social media squawk and ameliorates your performance so that you always stay ahead of your benchmark.
Emotional Data Intelligence explained
Stockpulse combines both worlds in a holistic approach to support decision-makers in financial markets. Our message collectors trace social media squawk in English, German, and Mandarin. We collect our data from several thousand different sources worldwide.
This user-generated content comprises a substantial part of communication in social media networks today. We identify this emotionally expressed content and classify it as “Emotional Data.” Data intelligence refers to the collection of large amounts of data called data mining.
Both parts of social media analysis are unstructured and must be processed to create value for financial investors. Stockpulse’s artificial intelligence filters this bulk of information, selects, structures, and converts it into intelligible data for the financial industry. The outcome is Emotional Data Intelligence! Able to understand the emotions expressed by market participants, investors improve their asset allocation and enhance seeking alpha.