Genetic evolution on GPU: thousands of strategy variants compete and mutate to find optimal parameters.
CUDA Evolved is the natural evolution of CUDA GPU, integrating a multi-objective evolutionary algorithm that simultaneously optimizes return, Sharpe ratio, maximum drawdown and win rate. Where CUDA GPU optimizes a single objective, CUDA Evolved finds the optimal Pareto front — the set of solutions where improving one criterion necessarily degrades another. The result is a more robust and balanced strategy, less susceptible to over-optimization.
Uses NSGA-II (Non-dominated Sorting Genetic Algorithm II) on NVIDIA GPU. Evaluates each solution on 4 simultaneous objectives: PnL, Sharpe, Max DrawDown, Win Rate. Selects non-dominated solutions (Pareto front). The trader chooses the optimal profile based on risk tolerance. Full recalculation every 2 hours.
Multi-objective evolutionary signals. Self-calibrated technical indicators (RSI, MACD, Bollinger, Stochastic). Dynamic signal allocation based on detected market regime. Adaptive ATR for money management.
High
Multi-objective optimization more robust than single-objective. Pareto front avoids unbalanced solutions. Better overall return/risk ratio. Continuous evolution without human intervention.
Even higher algorithmic complexity than CUDA GPU. Risk of premature convergence of evolutionary algorithm. Significant GPU computation time (NSGA-II is expensive). Difficult to understand why a solution was selected.
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