Case study / Trading

TradeBot.

Real-time visibility and control over automated trading workflows

TradeBot — Trading & fintech
Client

An internal product for traders running automated strategies across several exchanges.

Industry

Trading & fintech

Year

2025

Services
01 / The challenge

The challenge.

Operators of trading bots need to see positions, orders, PnL and signals in real time, intervene quickly and trust that what is on screen is current. Browser performance under high-frequency updates and consistent state across many widgets were the main technical risks.

02 / What we built

What we built.

We designed the dashboard as a set of independent widgets fed by a normalised real-time store. React Query manages server state and caching, Zustand handles UI and streaming state, and charts render only what changed. Controls for pausing strategies, adjusting parameters and placing manual orders include confirmation and audit steps.

  • WebSocket streams normalised into a single store with selective re-rendering
  • Analytics charts for PnL, exposure and strategy performance
  • Strategy controls with confirmations and action history
  • Configurable layouts and watchlists per user
  • Resilient reconnect logic and stale-data indicators
03 / Outcome

Outcome.

  1. 01

    Smooth UI under continuous market updates without dropped frames

  2. 02

    A single source of truth for positions and orders across all widgets

  3. 03

    Faster operator reaction time thanks to in-dashboard controls

04 / Technology stack

Technology stack.

Next.js, TypeScript, React Query and Zustand with WebSocket market data feeds.

  • NextJS
  • TypeScript
  • React Query
  • Zustand
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