Arctix Capital deploys AI-driven strategy research at continuous scale — discovering, validating, and executing systematic edge across equity markets.
Traditional quantitative research is bottlenecked by human throughput. Arctix operates differently — our AI engine generates and stress-tests hundreds of strategies in parallel, promoting only those that clear a demanding statistical threshold.
The result is a continuously evolving portfolio of systematic strategies, each with a documented edge and a clear reason to exist in markets. No discretion. No override. No fatigue.
Our AI engine produces novel strategies around the clock — exploring signal combinations, timeframes, and market regimes without human prompting or bias.
Every candidate clears Sharpe ≥ 1.5, max drawdown ≤ 15%, and a minimum 14-day live paper trading period before any capital is considered.
The system learns from each cycle — exploiting proven approaches while systematically exploring adjacent strategy space at a 70/30 exploitation-to-exploration ratio.
From raw idea to validated live strategy — the engine runs without pause, without instruction, without limit.
Claude Sonnet synthesizes novel trading logic from microstructure signals, factor research, and pattern libraries — producing executable specifications at continuous scale.
Persistent strategy memory informs each generation cycle. What works is remembered. What fails is learned from. The 70/30 exploitation-exploration ratio governs each batch.
The central coordinator runs continuous batch cycles — pacing API calls, routing strategies through the pipeline, and maintaining the system's operational tempo.
Performance reported on paper-trading basis during engine validation phase. All figures reflect systematic execution without manual override. No exceptions.