Machine Learning

In today’s rapidly evolving financial landscape, the integration of artificial intelligence (AI) into investment management is revolutionizing the way investors manage their portfolios. RCOF introduces a cutting-edge AI Robo-Advisor that utilizes advanced mathematical models to provide personalized, data-driven investment advice. At the core of this innovation lies sophisticated relationship mapping, along with internal and external approximation techniques, combined with optimization algorithms.

By modeling the complex relationships between diverse financial variables, the AI Robo-Advisor not only predicts market trends with high accuracy but also tailors investment strategies to meet individual user objectives. RCOF explores the mathematical framework that powers the AI Robo-Advisor, explaining how it processes data, refines predictions, and delivers actionable financial insights.

The following mathematical algebra represents the intangible properties behind the design of the AI-powered Robo-Advisor, which is built on the blockchain and serves as a fundamental component of RCOF's decentralized AI-powered trading platform.

The equation below describes various components of the AI Robo-Advisor’s mathematical framework, involving inside and outside approximations as well as the weighting of financial data points to generate predictions.