Trading

This section documents all Datafye CLI commands for managing Trading Environment deployments (paper and live trading).

Command Organization

Trading commands are organized by deployment environment:

  • Local Deployments - Commands for standalone deployments on your local machine (paper trading only)

  • AWS Deployments - Commands for distributed self-managed deployments in AWS (paper trading only)

Live Trading: Local and self-managed AWS deployments only support paper trading (mode: paper). For live trading (mode: live), you must use a Datafye Managed deployment provisioned by Datafye Ops. Contact Datafye to request a managed deployment for live trading.

Command Syntax

All Trading commands follow this pattern:

datafye trading <environment> <command> [options]

Where:

  • <environment> is local or aws

  • <command> is provision, start, stop, or deprovision

Trading Scenarios

Trading deployments support two scenarios:

Data Cloud + Broker

  • Provisions Data Cloud and Broker Connector

  • You bring your own algo containers

  • Access market data and execute trades via REST/WebSocket APIs

Full Stack

  • Provisions Data Cloud, Algo Container runtime, Broker Connector, and MCP Server

  • Complete managed environment for algo trading

  • SDK-based algo development with AI assistance

Paper vs Live Trading

Paper Trading

  • Simulated execution with no real capital

  • Real market data for realistic simulation

  • Available on local and self-managed AWS deployments

  • Risk-free validation of strategy behavior

Live Trading

  • Real execution with actual brokerage accounts

  • Real capital at risk

  • Only available on Datafye Managed deployments (provisioned by Datafye Ops)

  • Requires funded broker account and thorough validation

Related Documentation

Last updated: 2025-10-22

PreviousdeprovisionNextLocal Deployments

Last updated