Technical Deep-Dive

AI Models and Algorithms

Fortuna Finance's AI Aggregator is powered by two primary AI models: the Naive Bayes Classifier and the k-Nearest Neighbours (kNN) algorithm. The Naive Bayes Classifier excels in making probabilistic predictions based on historical data, adeptly identifying patterns and trends that are not immediately obvious. This model is particularly effective in processing discrete data, making it invaluable in predicting yield optimization opportunities based on past market behavior.

The kNN algorithm complements this by focusing on continuous data analysis. It operates by finding similarities between different data points, allowing it to make nuanced predictions about future market trends. The integration of these two models enables the AI Aggregator to conduct a comprehensive analysis of both continuous and discrete data, ensuring a well-rounded approach to yield prediction.

AI Models and Algorithms: Practical Application

In addition to the theoretical framework underpinning our AI models, the practical application of these technologies in real-world scenarios is a critical aspect that we want to underline. Our system's operational methodology is designed not for predictive analysis but for real-time, decision-making .