case · 2025 role: interface + aggregation duration: MVP status: prototype / working dashboard

Crypto dashboard
exchange signals in one desk

A working dashboard for exchange events: listings, promos, premarket, and Alpha Desk in one interface.

[ visual · one exchange screen ]
01 / context

Why it
was needed

In crypto, the problem is not lack of data. The problem is that signals live for minutes while sources are spread across exchanges, promo pages, APIs, calendars, and chats.

One exchange section shows launchpool, another hides token splash, a third gives premarket, a fourth announces listing. Manual checking turns analysis into refresh work.

I built an intelligence layer: events are normalized, scored, grouped into desks, and become actions instead of browser tabs.

02 / solution

How the market desk
works

The interface brings heterogeneous exchange events into one language: type, source, deadline, scoring, and next step.

  • I
    Data streams
    Collectors are designed for exchanges, premarket, promos, listings, unlocks, and alpha events.
  • II
    Unified grid
    Binance, Bybit, OKX, Gate, MEXC, KuCoin, and Bitget speak differently; the operator sees one grid.
  • III
    Event highlights
    Events get priority so attention goes to what is urgent and useful.
  • IV
    One product shell
    Listings, Premarket, Promotions, Unlocks, and Alpha remain modes inside one operating shell.
  • V
    React interface
    Dense tables, context rail, highlights, and quick drill-down without heavy admin-panel feel.
live / interactive

Live local CryptoDash snapshot

The iframe contains the same local dashboard shell with Market Brief, Alpha Desk, and Premarket. The backend is replaced with demo data so the product can be opened and clicked safely.

embedded demo
03 / result

What we could
measure

exchange signals in one desk. Here are verifiable outcomes and visual materials from the source projects.

4
case sections
live
interface states
API
sources
live
data mode
The strong part is that it does not promise to predict the market. It removes the blind zone: the event is visible, explained, and ready for a decision.
- project breakdown
04 / how it is built

Stack,
and why

01
React
Good fit for an interactive interface with fast-changing data.
02
WebSocket
Useful where the delay between refresh and action matters.
03
Exchange APIs
Primary source of market data.
04
Normalization
Different formats become one model for the UI.
05
Signal highlighting
Helps notice changes faster than raw tables.
05 / next work
Service bots
Telegram utilities
06 / contact

Similar task? 30 minutes, no brief.

Describe what you need. I will say honestly whether I take it, how much it costs, and whether AI can speed it up.