Algorithmic trading client

Bitunix trade executor

Strategy signals from a central system had to become exchange orders with operator controls.

Delivered

The challenge

Strategy signals from a central system had to become exchange orders with operator controls.

What we built

  • REST controls to start, stop and edit trading runners
  • Bitunix signing, REST and WebSocket streams
  • PostgreSQL trade records and admin monitoring pages

The full story

The situation

An algorithmic trading client needed strategy signals from its central system turned into Bitunix exchange orders, with controls for operators.

What we built

A Python and FastAPI service with REST controls to start, stop and edit trading runners. It handles Bitunix signing and REST calls, listens to public and private WebSocket streams for prices, balances, orders and positions, and stores configuration and trades in PostgreSQL. Admin pages show runner status and trade history.

Execution controls in the spec

  • Limit chase: moves a limit order as the price changes
  • Time-to-kill: cancels and records orders that sit unfilled too long
  • Idempotent tracking: runner and trade IDs that prevent duplicates

Honest note

The repository covers the FastAPI service, database and management pages. The more advanced safeguards are defined in the specification, and no trading performance figures are claimed.

Start with one small, fixed-price job

Send us one task from your backlog. We quote it low and fixed so you can judge the work first. White-label is fine.

Get a quote

USA: Rancho Cordova, California
India: Mohali, Punjab