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FinanceCase study

TradeView Pro

Real-Time Multi-Exchange Trading Dashboard

Built with
TypeScriptReactWebSocketReal-Time StreamingData VisualizationRedisNode.jsPostgreSQL

Inside the project

01 / 01

TradeView Pro

TradeView Pro1 / 1

TradeView Pro

TradeView Pro

The brief

A problem worth
building around.

Traders need one view across multiple exchanges with no perceptible lag. Each exchange speaks a different protocol, ships a different data format, and enforces its own rate limits. The aggregation layer has to reconcile all of that and still deliver updates in near-instant time.

Our approach

TradeView Pro connects to multiple exchange APIs through a custom aggregation layer. Data is normalized into a common format, cached for historical queries, and broadcast to clients in real time. Interactive candlestick charts render with smooth pan/zoom. Custom alerts trigger on price, volume, or technical indicator thresholds.

The experience

What it lets
people do.

The capabilities that turn the underlying engineering into a usable product.

  1. 01

    Multi-exchange data aggregation

  2. 02

    Real-time candlestick charts

  3. 03

    Order book depth visualization

  4. 04

    Portfolio tracking with P&L

  5. 05

    Custom price/volume alerts

  6. 06

    Technical indicator overlays

  7. 07

    Trade history export

  8. 08

    Webhook alert delivery

Project record

What came out of it.

  • Multi-exchange real-time aggregation

  • Sub-second end-to-end latency

  • Interactive candlestick charts with smooth rendering

  • Time-series storage for historical data

  • Custom alert engine with webhook delivery

  • Portfolio P&L tracking across exchanges

Sub-second end-to-end
Latency
Multiple major exchanges
Exchanges
Interactive with smooth rendering
Charts
Time-series + relational
Storage

Under the hood

Multi-exchange aggregation with normalized real-time broadcast and time-series storage

frontend
backend
service
external
cache
StreamStreamCacheBroadcastCheck
React Dashboard
Interactive charts
Streaming Layer
Real-time broadcast
Aggregator
Data normalization
Cache Layer
Time-series data
Exchange Feed
Market data
Exchange Feed
Market data
Alert Engine
Threshold triggers

Multi-exchange aggregation with normalized real-time broadcast and time-series storage

Facing Similar Challenges?

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