Autonomous Strategy Evolution
DARWIN∞: Genetic Discovery Beyond Human Intuition
Traditional quantitative research suffers from cognitive bias: human analysts test variations of the same classic breakout or mean-reversion setups. DARWIN∞ treats trading logic as evolvable genetic chromosomes containing indicator thresholds, sizing functions, and exit triggers.
By running thousands of generation cycles against rolling out-of-sample market regimes, the engine discovers non-obvious orthogonal alpha factors that maintain edge across volatility spikes.
“Autonomous evolutionary optimization testing millions of parameter permutations without overfitting.”