Introducing QuantOptima Beta: Evolving Portfolio Optimization with Genetic Algorithms (NSGA-II) Try it here: https://ng-optimizer.vercel.app/ Finding the "Pareto Optimal" balance between risk and return is the ultimate challenge in modern wealth management. Traditional Mean-Variance models are great, but they often struggle when faced with real-world, conflicting objectives (like maximizing yield while minimizing maximum drawdown). That’s why I built QuantOptima—an AI-powered portfolio optimization platform that leverages genetic algorithms to solve multi-objective portfolio problems. And today, I am officially launching the public Beta! 💻 What makes QuantOptima different? NSGA-II Genetic Optimizer: Mimics natural selection to "breed" the best-performing portfolios across generations, resolving conflicts between multiple, competing constraints. Diversified Optimization Models: Run classic Markowitz Mean-Variance, Black-Litterman (incorporating custom investor views), and Hierarchical Risk Parity (HRP) for diversified asset clustering. Asynchronous Execution Queue: Submit optimization runs in the background and continue exploring the site. Our platform queues jobs to run asynchronously, notifying you with a custom synthesized chime sound the second your results are ready. Easy Ticker Search & Uploads: Upload asset history via CSV or query live data directly using stock ticker searches. We built this with a modern, glassmorphic dark-mode interface designed to make complex portfolio metrics visual, readable, and highly actionable. 🔒 Fully integrated with secure user authentication and persistent, cached report histories, so you can track your prior runs securely. 👉 We are officially inviting beta testers! Try it out for yourself, build your frontier, and let me know your thoughts. We want your raw feedback to shape our roadmap. 🔗 Try it here: https://ng-optimizer.vercel.app/ Check out the screenshots below to see the optimizer workspace and efficient frontier in action!