Message Filtering


A spam filter scans all messages for insulting words or phrases (“rants” or “flames”). Most of these posts can be identified by their scurrile or nasty language. There is also a more sophisticated approach which analyzes relations between twitter users (retrieved by their friendship and follower network) and calculates a reputation rank or “author score” for every user. The impact of every message is based on this internal author score. Besides normal social media users there are manually selected and verified users/financial experts who carry a higher author score (five times as much) by default.



StockPulse analyzes communication on financial topics in publicly accessible social media and news sources. Software evaluates hundreds of thousands of opinions and news articles every day and shows at a glance, how much and in what kind of mood people discuss about financial markets. Using latest Big Data technology, communication on stocks, indices, commodities, currency pairs and major market events is monitored and evaluated in real-time 24/7. Moreover, the software automatically generates buy and sell signals for different asset classes. By now, the database of StockPulse contains historical data of more than six years, enabling comprehensive backtestings. The software and trading models created by StockPulse were reviewed and confirmed by independent scientific studies.\n

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