System Architecture

QuantumExecute’s system architecture is designed for high performance, security, and reliability, leveraging modern cloud infrastructure. Below is a high-level overview of how the platform is structured:

• Modular Microservices: The platform backend is composed of specialized services (microservices) for tasks such as order management, market data handling, execution algorithms, user management, etc. This modular design ensures that each component can scale independently and be maintained or upgraded without affecting the whole system.

• Cloud Deployment: QE is deployed on a secure cloud environment (such as AWS). We place our servers in regions that have low-latency connectivity to major exchanges. For example, deployment in AWS’s Asia Pacific zones for proximity to crypto exchange servers (if needed). The system takes advantage of cloud auto-scaling to handle peak loads (like sudden surges in orders or market volatility causing more computations).

• Algorithm Engine: At the heart is the algorithm engine cluster – these machines run the actual strategy logic (TWAP, POV, etc.), processing incoming parent orders and slicing them into child orders. The engine continuously receives market data streams (order book updates, trades) from exchanges to inform its decisions.

• Real-Time Data Pipeline: A robust data pipeline streams real-time market data from connected exchanges into the algorithm engine. It also streams execution results out to clients (for live updates in the UI). This pipeline uses websockets or FIX/REST (depending on exchange) for incoming data and push notifications (websocket/API) for outgoing updates to users.

• Database and Storage: QE uses secure databases to store user data (encrypted) and trading records. Sensitive information like API secrets are protected with dual encryption (AES symmetric encryption combined with SM2 asymmetric encryption) at rest. The encryption keys themselves are managed via a cloud Key Management Service (KMS) and are not directly accessible, adding a layer of security.

• Secure Enclaves: For handling extremely sensitive operations (like using an exchange API Secret to sign an order), QE employs AWS Nitro Enclaves – a Trusted Execution Environment (TEE). This means even within our system, there’s a segregated, highly secure compute area where decrypted API keys are used to sign transactions, and not even our own administrators can access that enclave’s memory or data. This ensures your secrets remain confidential and are only used for the intended purpose of trading.

• Web Frontend and API Layer: The user interface (web app) communicates with QE through a set of secure APIs. An API gateway handles all incoming requests (from the web UI or directly from clients via the programmatic API). This gateway enforces authentication, rate limiting, and routes requests to the appropriate backend service. All communication is done over HTTPS with TLS encryption. Additionally, the system restricts API access to known client IPs as an extra security measure.

• Monitoring and Redundancy: The architecture includes extensive monitoring (both automated and human oversight) for system health, latency, and errors. Redundant instances of critical components are running to avoid single points of failure – e.g., multiple algorithm engine nodes running in parallel with failover, multiple data feed connections per exchange, and regular backups for databases. If an issue is detected (like a node failure or network partition), failover mechanisms transfer load to healthy nodes with minimal disruption.

Security and Compliance by Design: The above architecture choices reflect a priority on security:

• Data encryption, restricted access, and secure enclaves protect user keys and data.

• Architectural isolation (for example, separating user-facing services from core trading logic servers) reduces attack surfaces.

• All deployments undergo security reviews and testing.

From a compliance perspective, the architecture can log and audit all actions, which is useful for any regulatory reporting or reviews. The system can also enforce trade policies (like pre-trade risk checks) within the architecture to ensure compliance with trading limits or other rules.

In summary, the QE system is built to be fast, safe, and robust. Fast, by being close to exchanges and using efficient technologies; safe, by protecting user assets and data with top-notch security; and robust, by having redundancies and proper monitoring.