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Live Price Websocket: Real-Time Price Streaming for Binance Futures

HomeProjectsLive Price Websocket
Visualisation of a real-time data stream with Binance Futures price data

Webzenz Switzerland built a websocket service that streams Binance Futures prices in real time, triggers actions and runs on AWS in Tokyo with automatic restarts.

Overview

Live Price Websocket delivers Binance Futures price data in real time and forms the basis for automated trading systems. On defined price events, the service triggers small, targeted functions.

The tokens being watched can be changed dynamically. A dedicated websocket manager keeps connections stable and restores them automatically after interruptions.

Starting point

For trading systems every millisecond counts and every interruption loses data. The service therefore had to run close to the Binance servers and recover on its own when problems occur.

Project at a glance

Project
Live Price Websocket
Category
Fintech Application
Project type
Real-time data service
Industry
Fintech, cryptocurrencies
Hosting
AWS, Tokyo region
Delivered by
Webzenz Switzerland, our Swiss partner

Services

  • Real-time systems
  • AWS cloud infrastructure
  • Python development

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What was built

Features and delivery

Real-time streaming

Continuous Binance Futures price data over websockets.

Event-driven functions

Small functions are triggered on defined price events.

Dynamic token tracking

Tokens can be added or removed while the service is running.

Automatic reconnect

The websocket manager detects drops and reconnects.

Self-healing operation

AWS Lambda restarts the instance every three hours and an additional EC2 restart acts as a fallback.

Close to the exchange

Runs in the AWS Tokyo region for low latency to Binance.

Role of Webzenz Switzerland

Scope of work

  • Development of the websocket service
  • Connection management and error handling
  • Infrastructure and automation on AWS

Webzenz Switzerland is responsible for the technical delivery. Strategies, parameters and trading decisions remain with the client. This reference describes software and is not investment advice.

Technology stack

Technologies used

Backend and API
  • Python
  • Flask
  • Jinja2
  • unicorn-binance-websocket-api
  • certifi
Frontend
  • CSS
  • JavaScript
Servers, cloud and hosting
  • AWS Elastic Beanstalk
  • AWS EC2
  • AWS Lambda
  • AWS Tokyo (ap-northeast-1)
Outcome

Result

The service provides stable real-time data for downstream trading systems and recovers automatically from disruptions.

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