D.A.R.W.I.N

D.A.R.W.I.N. (Distributed Agentic Resource & Weighted Investment Network) is a system for autonomous trading agents that uses natural selection and dynamic capital reallocation. It treats portfolio management as a living ecosystem where autonomous AI agents compete for real-time capital. Winners scale, while underperformers mutate or starve. The system addresses the problem that static trading algorithms break when market regimes shift. Traditional trading systems often rely on fixed strategies and allocations, and when market conditions change, a strategy that previously performed well can become ineffective. D.A.R.W.I.N. creates a closed-loop ecosystem where multiple autonomous agents continuously compete, adapt, and receive capital based on their performance. The architecture includes a simulation engine, multiple agents (Momentum, Mean Reversion, Volatility Hunter, Risk Parity), an execution pipeline (Observe → Plan → Act → Audit), performance evaluation, capital reallocation via temperature-scaled Softmax, metacognitive mutation for underperformers, and a risk firewall with circuit breaker.