Investment Insight: Machine Learning for Portfolio Optimization

Kavodax seeks to enhance its investment strategy by developing a machine learning-based recommendation system for stocks and bonds. The project aims to integrate a factor model to optimize portfolio allocation, allowing for more informed investment decisions. Learners will apply their knowledge of machine learning algorithms and financial modeling to create a system that analyzes historical market data and identifies key factors influencing asset performance. The project will involve data preprocessing, model training, and validation to ensure accuracy and reliability. By the end of the project, learners will have gained practical experience in applying machine learning techniques to real-world financial problems, enhancing their understanding of both data science and finance. Key tasks include: - Collecting and preprocessing historical stock and bond data. - Developing a machine learning model to generate investment recommendations. - Implementing a factor model for portfolio optimization. - Testing and validating the system's performance against historical data.

Blockchain-Based Cross-Border Payment Prototype

Kavodax aims to revolutionize global money transfers by developing a peer-to-peer cross-border payment infrastructure powered by blockchain technology. The project focuses on utilizing stable-coins to ensure price stability, eliminating the need for banks or middlemen, and providing an easy onboarding process with instant Know Your Customer (KYC) verification. The goal is to create a system that reduces remittance fees to under 1% and processes transactions in under 3 minutes. This project will allow learners to apply their knowledge of blockchain technology, financial systems, and software development to create a prototype that addresses the challenges of high remittance costs and slow transaction times. The project will involve tasks such as designing the system architecture, developing smart contracts, and implementing a user-friendly interface for seamless transactions.