Darwin AI

Darwin AI - Evolution Engine for Strategy Optimization "AI strategies that evolve through natural selection, guided by You.com's real-time market intelligence" The Problem 95% of backtested trading strategies fail in live markets due to overfitting - they got lucky on historical data but lack robustness. Traditional validation uses single train/test splits, making it easy to game the system. Our Solution Darwin AI applies Darwinian evolution to discover genuinely robust strategies. Strategies are represented as directed acyclic graphs (DAGs) and undergo brutal Phase 3 validation across 5-8 different market regimes (bull, bear, sideways, high/low volatility). Fitness Function: Fagg=median(Fepisodes)−λ1⋅σ(F)−λ2⋅Pspike−λ3⋅PregimeF_{agg} = \text{median}(F_{episodes}) - \lambda_1 \cdot \sigma(F) - \lambda_2 \cdot P_{spike} - \lambda_3 \cdot P_{regime}Fagg​=median(Fepisodes​)−λ1​⋅σ(F)−λ2​⋅Pspike​−λ3​⋅Pregime​ where penalties punish dispersion σ(F)\sigma(F) σ(F), lucky spikes PspikeP_{spike} Pspike​, and single-regime dependency PregimeP_{regime} Pregime​.

Continual Learning Through Evolution

Generation 0: Random population (N=8 strategies) Selection: Kill failures (~50%), identify elite survivors Mutation: LLM-powered variations informed by You.com's real-time market research Repeat: 5-10 generations until champion emerges

Survivors breed intelligent mutations guided by market context: "VIX elevated → add volatility filters." Complete transparency through lineage trees, kill reasons, and cost tracking ($0.40-$18 per run). Beyond Trading: Same engine evolves designs, content, or any measurable objective - evolution doesn't care what it optimizes.

Built With

• render
• you.com