Predictions and forecasts

1-1

The derived models based on Artificial Intelligence are empirical, even though they partially use economic theory and technical analysis. Our prognoses are  based on big data, mathematical modelling and AI, and omit direct involvement of any biased opinions, analyses or other subjective human interferences. The resulting forecasts therefore, incorporate the historic events where the AI has separated and mapped the relationship between events and their inter-dependencies. Our system is continuously evolving, self-updating and re-learning in order to take the latest events into consideration .

As opposed to many other systems, our validation is for real. We don’t validate our forecasts using old (retrospective) data – we compare forecasts with the real outcomes. Every day, after the markets close, the previous forecasts are compared with the actual actual outcomes, and the system is then updated with the day’s events. New predictions are generated from our various primary AI-engines, where our high level AI-system, our “consensus engine”, scores the relevancy of each prediction, and adjusts, generates and publishes new predictions.