Neural-network model families
Model development focuses on proprietary neural-network variations and strict out-of-sample validation across multiple market phases.
Independent quantitative trading firm
Systematic crypto trading built for risk discipline.
ENZO-TS is a research-driven team operating a proprietary trading stack for crypto markets. Model families are neural-network centered, with strict out-of-sample validation across multiple market phases.
Execution and monitoring run on a custom C++ runtime built for control and operational reliability. Capital preservation is the mandate: deployment and portfolio weighting are intentionally selective, prioritizing drawdown control over constant exposure.
Approach
Research-to-production discipline.
Continuous selection and adaptation
Production candidates are continuously evaluated and deployed only when live conditions support their risk-adjusted profile.
Research-to-production feedback loop
Walk-forward tests, live telemetry, and drawdown diagnostics feed daily ranking decisions for model and market activation.
Technology
Custom runtime built for latency and control.
High-performance C++ stack
Core execution and model runtime are written in modern C++, optimized for multi-core environments and low-latency exchange interaction.
Configurable internal framework
The system is designed for modular research and customization, enabling controlled rollout of strategy and risk logic updates without rebuilding process fundamentals.
Integrated diagnostics
Live signal inspection, portfolio-level analytics, and market diagnostics are integrated in the same runtime environment used for operational decisions.
Risk Framework
Capital preservation and drawdown control by design.
ENZO-TS prioritizes downside control in model training and portfolio tuning. Deployment is intentionally selective, with exposure reduced when conditions deteriorate.
Trade-level controls
Position sizing and per-trade risk are bounded by predefined limits and enforced stop logic.
Portfolio allocation
Capital is distributed selectively across markets with live reallocation rules to cap concentration and reduce exposure when conditions deteriorate.
Market-level shutoff
Underperforming markets can be automatically de-emphasized or disabled to protect the broader portfolio process.
Public Track Record
90-day snapshot (Bybit public data).
7D return
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30D return
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90D return
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Max retrace
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Closed trades
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Data updated (UTC)
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Private Contact
For partner or firm-level discussions.
ENZO-TS operates an internal trading system and considers a limited number of partner or firm-level discussions.
Private Inquiry