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Shark Array is the core deployment architecture of NOVA SIGMA. It allocates strategy units by market state, executes through segregated accounts, and governs resource scheduling centrally. It is designed for high-noise, high-volatility markets where state changes occur rapidly. Rather than relying on a single strategy or directional exposure, Shark Array activates different roles, account tasks, and exposure weights as market conditions change.
Return figures without capacity, slippage, fee, and drawdown context can be misleading. NOVA SIGMA presents validation dimensions — state attribution, replay quality, capacity boundaries, and control discipline — in open materials. Full numerical due diligence materials, including tick-level replay reports, PnL attribution, and stress-test packages, are provided only after NDA to qualified institutional allocators.
Shark Array is organized into five layers. The Market State Layer identifies the current deployment context. The Strategy Role Layer organizes deployment roles (core, transition, opportunity, protective). The Segregated Account Array executes roles through separate accounts to preserve task boundaries. The Bidirectional Exposure Structure balances offensive, hedge, and protective legs. The Capital Governance Layer controls scale, risk budget, expansion criteria, and validation gates.
Shark Array operates across four market states. In Stable Ranges, core deployment units carry the primary workload with continuous efficiency management. During Transitions, the system increases bridge and adaptation weights to assess state changes. During Dislocations, protective units take priority to preserve continuity. During Recovery/Expansion, opportunity deployment is gradually restored under governance constraints.
API keys are limited to trading execution only — they do not include withdrawal authority. Key usage follows least privilege, terminal whitelisting, approval hierarchy, and audit logging. All communications use encrypted TLS connections. API keys are stored encrypted at rest. Your assets remain under your exclusive control.
Our replay and validation infrastructure is designed for risk identification, change review, and deployment consistency. It provides historical event replay of full sequences, scenario retesting for extreme market conditions (deep V moves, wick spikes, sharp selloffs, rapid reversals), change control for parameter and logic updates, and stress testing under different capital scales. No strategy enters live deployment without passing validation gates.
Tacivec is NOVA SIGMA's internal AI-native quantitative research engine. It supports research organization, candidate logic screening, state-understanding, and validation coordination. Tacivec compresses the path from candidate logic to validation evidence to governed deployment decision. It operates at the research layer and does not replace governance, replay review, or capital discipline.
NOVA SIGMA currently uses BTC as its core validation market. BTC's continuous trading, high volatility, dense market noise, and rapid state changes provide an intensive environment for product hardening. After validation in BTC, expansion is expected to proceed through broader crypto markets and then FX, driven by methodology transfer and system capability extension.
If you have questions not covered here, please contact us at contact@novasigmaquant.com. Our team is available to assist institutional and professional investors with platform-related inquiries.