When it comes to making investment decisions, traders and investors have to rely on their understanding of the available information about the market or on the knowledge of their financial advisors. That often results in them feeling insecure about their choices and being disappointed with the outcomes. At the same time, despite having a lot of data about the customers, banks and financial institutions struggle with understanding their changing behavior.
WolfWay from our FinTech & CyberSecurity accelerator program in Amsterdam has found a way to understand how successful investors make decisions and what the results of these decisions are. This Italian team has developed a Deep Learning engine tool that analyzes actions and thoughts of investors to understand their goals and needs, providing predictive insights about the crowd wisdom. We had a chat with the WolfWay team to find out more about their unique solution.
Tell us more about WolfWay. How exactly does it work?
No one can predict the market, but the market is made by people, and human behavior is much more predictable. What we do at WolfWay is analyzing people instead of the market.
We gather two kinds of data about investors. First of all, we know what they do by gathering the information from banks and directly from our users on what investors buy, what quantity, and what price. We use this data in behavioral analytics. Second of all, we know what investors think by connecting to their social networks and analyzing their sentiments about, for example,…