Technical Foundation

Agent Arc’s technical foundation is designed to support continuous, non-custodial execution while maintaining reliability, transparency, and control. The system is engineered as modular infrastructure, allowing individual components to evolve without disrupting execution or user capital.

Exchange Connectivity

Agent Arc maintains direct, secure API integrations with major centralized exchanges. These connections allow agents to execute trades directly on user-owned accounts without taking custody of funds. The system continuously synchronizes balances, open positions, and order states in real time, ensuring accurate execution across venues.

Each connected account is monitored independently, enabling isolation of risk, sub-account usage, and precise capital allocation. API permissions are restricted to trading and read access only, with withdrawals disabled by design.

Order Management & Execution

The order management system acts as the execution backbone of Agent Arc. It tracks all open orders and positions across connected venues while enforcing system-level risk constraints.

Execution logic dynamically considers:

• liquidity conditions

• order book depth

• volatility regimes

• execution timing

Trades are monitored from submission through completion, with confirmation and reconciliation handled automatically. Position sizing, entry logic, and exit conditions are applied consistently to prevent discretionary intervention or execution drift.

A full audit trail of all execution activity is maintained for transparency and analysis.

Data Processing & Market Intelligence

Agent Arc ingests high-frequency market data from multiple sources, including price action, volume, order book dynamics, and cross-asset relationships. This data is processed in real time to construct a continuously updated view of market state.

Historical data is retained for backtesting, performance analysis, and model refinement. Performance analytics compute portfolio-level and trade-level metrics, including drawdowns, volatility exposure, and risk-adjusted returns.

The system is optimized for low-latency processing while preserving accuracy and consistency across market conditions.

Neural Network Architecture

At the core of Agent Arc’s intelligence layer is a proprietary deep neural network designed to model market behavior across multiple time horizons. Rather than relying on fixed rules or single-timeframe signals, the architecture identifies patterns across short-term price dynamics, medium-term trends, and broader market regimes.

The model adapts as conditions evolve, updating its behavior based on observed outcomes and feedback from live execution. Training incorporates historical data across diverse market environments as well as live learning during operation, enabling faster adaptation to new assets and shifting dynamics.

Advanced techniques such as transfer learning and meta-learning are used to generalize knowledge across markets while avoiding overfitting to specific conditions.

Sentiment & Context Integration

In addition to numerical market data, Agent Arc incorporates sentiment and contextual signals derived from news, social platforms, and narrative flows. Natural language processing models analyze these inputs to detect shifts in attention, tone, and crowd behavior that may influence short-term market dynamics.

These signals are integrated as contextual inputs rather than deterministic triggers, allowing the system to weigh sentiment alongside structural market information.

Risk Management Framework

Risk enforcement is embedded directly into the execution layer. The system automatically applies constraints on:

• leverage

• position sizing

• exposure concentration

Stop-loss and take-profit mechanisms are dynamically adjusted based on volatility and liquidity conditions. Risk parameters are applied consistently across all agents and venues, preventing deviation from defined boundaries even during periods of market stress.

Users retain the ability to adjust risk constraints without interrupting live execution.

Security & Reliability

Agent Arc is built on a non-custodial architecture, ensuring users maintain full control over their funds at all times. All communications are encrypted, and API credentials are stored using secure key management practices with strict access controls.

The platform is architected for high availability, with redundant systems, continuous monitoring, and automated recovery mechanisms. Backup systems protect critical data, while integrity checks ensure consistency across execution and reporting layers.