Operator software · Paper trading

AI Trading Bot

I built a paper-trading automation system with a REST API, scheduler, risk controls, persistent runtime configuration and an operator dashboard.

FocusOperator software · Paper trading
My scopeBackend engineering · Operator interface · Deployment
01 / Context

The system behind the interface.

An automated workflow needs an operator view of its state, configuration and actions. This system connects scheduled work and risk decisions with persisted state and dashboard controls.

02 / Decisions

Architecture choices that shaped the product.

Make operation inspectable

The dashboard brings configuration, decisions and workflow state into the operator interface.

Preserve runtime state

Persisted configuration and run state support operation across application restarts.

03 / Evidence

What I developed.

  • FastAPI REST API, validation and runtime configuration
  • Scheduler, risk manager and persisted application state
  • Operator view of decisions, orders, positions and signals
  • DigitalOcean deployment and handoff documentation
FastAPIPythonSQLiteAlpacaDigitalOcean
04 / Outcome

The resulting system.

An operator-oriented paper-trading system with API integration, controls, monitoring and deployment. The case concerns software engineering; it makes no claim about investment returns.

05 / Your project

Relevant to your project.

API integrations, scheduled automation, persistent workflows and operator interfaces.

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