DARWIN — an AI that researches quant trading alphas and measurably gets better at it. Each generation it proposes new trading signals, kills the weak, breeds the strong, and accumulates a vector memory of every win and failure that compounds into sharper research. The twist: it's graded by a judge it can't fool — a deterministic, cost-aware backtest. With memory on, it discovers +119% more profitable signals than its memory-ablated self. Continual learning, measured. "The LLM proposes, the backtester disposes."
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