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Dashboard · Live Ops

Trading Dashboard Development for Live Operations

We build trading dashboards—equity curves, exposure heatmaps, bot heartbeats, slippage stats, and kill switches—on real-time data, not yesterday CSV uploads.

production / validated
pre_trade.validate()
execution.route(order)
risk.enforce_limits()
log.audit(event_id)

Ops blind spots cause expensive mistakes

Strategies fail silently on VPS. Risk officers refresh spreadsheets. Traders discover drawdown from push notifications, not dashboards.

  • ×Multiple exchange UIs with no aggregate P&L.
  • ×Bot logs buried on server—not visible to desk.
  • ×Stale data labeled live; websocket drops unnoticed.
  • ×No mobile view when away from desk during events.

Custom trading dashboard development

Role-based views for traders, risk, and ops—websocket-driven with alert thresholds and drill-down to order level.

  • Sub-second P&L refresh on open positions.
  • Bot health tiles with last heartbeat and error counts.
  • One-click kill switch with confirmation audit.
  • Embed in your app or standalone responsive web.

Desks needing visibility without Bloomberg budgets

Crypto funds, prop operations, and fintech apps requiring tailored monitoring UX.

Crypto trading firms

Multi-exchange P&L and margin utilization.

Bot operators

Fleet view of VPS strategies with log tail links.

Risk teams

Limit utilization and breach proximity panels.

Fintech retail apps

User-facing performance and copy stats.

Real-world delivery examples

Crypto desk ops dashboard

Fund wanted unified view of 6 exchange accounts and 14 bots.

Mean time to detect stalled bot dropped from 47m to 4m.

Prop firm risk wall

Wall-mounted display of firm-wide daily DD utilization.

Real-time websocket board; ops prevented 2 would-be breaches same week.

What you get

Real-time P&L widgets

Unrealized/realized with mark source selector.

Exposure heatmaps

By asset, sector, or strategy bucket.

Bot fleet monitor

Heartbeat, CPU, order rate, and last error.

Fill quality analytics

Slippage vs arrival price distributions.

Alert configuration

Threshold alerts to email, Slack, Telegram.

Embedded charting

TradingView widget or lightweight-charts integration.

Technology stack

TechnologyRole in your build
React / Next.jsDashboard frontend
WebSocket / SSELive data push to browser
TimescaleDBTime-series metrics storage
Grafana embedOptional ops-heavy panels
Tailwind + shadcnConsistent modern UI components

Development process

  1. 01

    Persona + KPI workshop

    Define widgets per role and data sources.

  2. 02

    Data plumbing

    APIs and streams feeding metric layer.

  3. 03

    UI MVP

    Core P&L and health views on staging data.

  4. 04

    Alerts + mobile

    Responsive layout and notification rules.

  5. 05

    Production launch

    Auth, RBAC, and performance tuning.

Frequently asked questions

Grafana vs custom React?+

Grafana fast for ops metrics; custom UX for client-facing or branded apps—we mix often.

Auth integrations?+

SSO, OAuth, and API key patterns supported.

Can users customize layouts?+

Optional drag-drop widget config for power users.

Historical drill-down?+

Click chart segment to list trades in window.

White-label?+

Theming and domain per tenant for fintech clients.

Related services

Build a trading dashboard your desk relies on

List data sources and user roles—we wireframe KPI layout in discovery.