StockPulse

StockPulse, a German-based data analytics company, is specialized on emotional data intelligence, harvested from social media and news outlets, with particular focus on financial markets. Emotional data is the next level of data processing and data driven decision making. While raw and unprocessed data, for example collected from social media, provides only isolated and limited pieces of information, emotional data matches and connects the dots and - most important - measures emotions that are inherent to the information. Like André Kostolany we believe that facts make up only 10% of the stock market - everything else is driven by psychology. Emotional data measures this psychology. Resulting data-sets are refined by quantification, classification, interpretation and connection. Emotional data intelligence can be used in various fields for more efficient decision making and one successful example are trading models. Different financial institutions use StockPulse data to optimize their decision making processes. StockPulse collects and evaluates millions of opinions and news articles about more than 40.000 companies every day and shows at a glance, how much and in what kind of mood people discuss topics related to financial markets. The crawler engines collect data for regions all over the world, North America, Europe, and Asia with a large coverage on Chinese companies. Using latest Big Data and machine learning technologies, communication on stocks, indices, commodities, forex and major market events is monitored and evaluated in real-time around the clock. Text analysis is done in three languages: English, German and Chinese. Moreover, the software automatically generates Long / Short-signals for different asset classes. Currently, the StockPulse database contains more than 1,5 billion historical data points for more than eight years, which enables comprehensive and significant back testing.