Prediction Modeling using Socially Engineered Linguistic Analysis, powered by SLNA tokens and with forecasts that are digitally signed on $JUNO
SELINA.AI scrubs public, social media sites and runs the data through proprietary linguistic filters. The results are assigned dynamic ranges and blended in the Data Model with any other statistical data points.
SELINA.AI then runs a minimum of 1,000,000 simulations on the Model to define a prediction weight to an event. The Model can be back-tested. Data points can be adjusted. Additional simulations can be run.
Results are generated and graded into tiers. Detailed, post-simulation reports can be generated. Post-event, variance analysis is run on the model to identify opportunities.
SELINA continues to learn, grow and evolve over time, eventually maintaining the data models autonomously.