Internal R&D
Autonomous Crypto Trading Agent
A 24/7 automated trading agent running live capital in production: designed, validated on paper, rebuilt in Go, and deployed on self-managed cloud infrastructure.
Architecture
Exchange market data
Kraken REST
Go agent · cloud host · 24/7
Scheduler
loop control
Market data
REST client
Signal engine
[withheld]
Risk & sizing
hard limits
Execution
order client
Logging
audit trail
Exchange orders
Kraken REST
The challenge
Build an always-on agent that trades without human intervention, recovers from failures on its own, and never risks more capital than its rules allow.
Mid-project, a state-level licensing restriction blocked crypto trading on the original brokerage platform. The system had to move to a new exchange without losing the validated behavior.
The approach
Validate before risking capital
The first version ran against a paper-trading environment with the same API surface as live, so logic could be exercised end-to-end at zero financial risk before a dollar was committed.
Rebuild for production
The prototype was ported from Python to Go for a single static binary, low memory footprint, and simpler operations on a small cloud host.
Supply-chain discipline
Dependencies were limited to officially maintained SDKs only; no community wrappers sitting between the agent and the exchange.
Deterministic integration
All exchange interaction goes through the REST API rather than streaming sockets, giving the agent a simple, auditable request/response loop that is easy to log, retry, and reason about.
Results
- Running 24/7 in production with live capital
- Migrated platforms and languages without redesigning the system around a new vendor
- Minimal dependency surface: official SDK plus the Go standard library
Strategy logic, parameters, and source code are intentionally withheld. This case study covers architecture and engineering practice only.
Request a fire mission
Tell us the target. We'll plan the mission.
A 30-minute discovery call, a straight answer on fit, and a written plan if we move forward.