I Built a Fully Local, AI-Native Hedge Fund System (Multi-Agent, Auditable, No Paid APIs)

Most “AI trading projects” fall into one of three categories: notebook experiments single-model pipelines or black-box systems with no observability They don’t resemble real trading systems. So I built something closer to production reality: A free, portable, AI-native hedge fund prototype with: multi-agent decision making backtesting + paper execution full audit infrastructure and zero paid API dependencies Project: https://github.com/td-02/ai-native-hedge-fund What this actually is This is not just a model. It’s a complete trading runtime with: data ingestion research layer strategy ensemble risk management execution system audit + tracing All wired together into a single pipeline. From the README: “A production-grade multi-agent trading system with backtesting, paper execution, and full audit infrastructure. No paid APIs required.” Why I built this The gap is simple: Most people optimize models. Real systems fail on integration, control, and visibility.