Banks and institutional investors have been using it for years predictive models, real-time data and automated risk assessments. Private investors, on the other hand, usually work with fragmented messages, delayed metrics and manual tables.
The problem is not a lack of care, but a lack of processing capacity. Nobody can consistently evaluate thousands of price movements, sentiment indicators and macroeconomic signals every day - Rauberquell takes on exactly this task and documents them comprehensibly.
Glossary: Predictive models – simply explained
A predictive model looks for recurring patterns in historical and current data and uses them to calculate probabilities for future developments. What this means for you: You do not receive a forecast as a promise, but rather a well-founded assessment with a risk warning - for example: "Increased probability of fluctuation, therefore more defensive allocation suggested."