An AI-Powered Multi-Agent Investment Committee

Quanto is an AI-powered multi-agent investment committee designed to deliver transparent, institutional-quality investment research. Instead of relying on a single AI model, Quanto orchestrates a team of specialized agents that independently analyze live market data, technical indicators, financial news, and portfolio risk before reaching a final investment recommendation. The platform supports multiple asset classes, including equities and cryptocurrencies, and leverages real-time market data to compute indicators such as RSI, MACD, EMA, and SMA. To enhance research quality, Quanto integrates Google's Gemma model deployed on Fireworks AI as its Chief Research Analyst. Gemma synthesizes technical signals and relevant financial news into concise executive investment memos, while the Bull Analyst, Bear Analyst, and Risk Manager provide explainable reasoning behind every recommendation. The system is designed with graceful fallback mechanisms, ensuring that technical analysis and risk assessment continue even if the AI research service is temporarily unavailable. Built with FastAPI, Next.js, TypeScript, Tailwind CSS, and Fireworks AI, Quanto demonstrates how multiple AI agents can collaborate to produce explainable, trustworthy, and actionable investment insights. The project showcases a practical approach to combining specialized AI reasoning, live financial data, and modern web technologies into an intelligent decision-support platform for investors and financial analysts.