Trading System Execution Runtime

Cloud-Native Infrastructure for Deterministic Deployment and Operation of Automated Trading Systems

This repository documents a cloud-native execution runtime for automated trading systems.

The platform provides a governed environment for deploying, operating, and monitoring trading strategies within managed Kubernetes infrastructure — without requiring users to operate their own clusters or persistent local processes.

It functions as a controlled execution layer between strategy logic and exchange connectivity.

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Core Capabilities

• Kubernetes-based orchestration for live and paper trading systems
• Per-deployment namespace isolation
• Dynamic strategy injection at runtime
• Deterministic lifecycle management (deploy, start, stop, restart, terminate)
• Real-time logs, health monitoring, and status endpoints
• Automated ingress provisioning per deployment
• Strategy and configuration export for self-hosting

This is execution infrastructure, not a strategy marketplace and not a black-box automation service.

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Architecture Overview

Each trading system instance is:

1. Assigned a unique namespace
2. Provisioned with runtime configuration
3. Injected with strategy code dynamically
4. Deployed via Helm-rendered Kubernetes manifests
5. Exposed through secure ingress
6. Observable through structured logging and health endpoints

The runtime is designed for isolation, reproducibility, and operational clarity.

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AI-Assisted Tooling (Optional)

• Strategy scaffolding from structured prompts
• Parameter iteration assistance
• Risk and fragility filter scaffolding (under development)

All generated strategies remain editable and exportable.

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Open Source Compliance

The runtime operates using Freqtrade (GPLv3) as the execution engine.

It is operated strictly as a hosted service without redistribution of source code.

Users retain ownership of:

• Strategy code
• Configuration files
• API credentials

No strategy logic is redistributed or exposed.

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Intended Users

• Quantitative developers
• Advanced traders
• Strategy researchers
• Operators requiring managed execution infrastructure

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Programmatic Deployment

Trading systems may be deployed via API.

Requests must include:

• namespace — unique per deployment
• strategy_class — Python class name
• strategy_code — strategy code as a Python string
• config — JSON-serializable configuration

Backend infrastructure includes:

• Helm-based Kubernetes deployment
• Dynamic manifest generation
• Per-namespace isolation
• Automated ingress provisioning
• Structured logging and health endpoints

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This project provides a governed, cloud-native execution runtime for automated trading systems in production environments.

— 10XTraders.ai