What Code Does TradingView Use? An Inside Look at TradingView’s Tech Stack

With over 30 million monthly users, TradingView has become one of the most widely used trading platforms among retail traders and investors.

A big part of TradingView’s popularity stems from its elegant charts, social features, and ease of use. But under the hood, TradingView is powered by an array of coding languages, frameworks, and technologies.

What Code Does Tradingview Use

In this post, we’ll take an in-depth look at the core pieces of TradingView’s technology stack that enable its capabilities. Understanding the coding foundations allows developers to build robust trading apps leveraging similar tools and languages.

JavaScript – The Core of TradingView’s Client-Side Code

The vast majority of TradingView’s front-end client code is written in JavaScript and TypeScript. JavaScript handles crucial functions like:

  • Creating interactive charting components
  • Updating data on price movements
  • Handling user interactions and events
  • Network calls to TradingView’s servers
  • DOM manipulation and UI updates
  • Running indicators, strategies and Pine scripts

JavaScript allows TradingView to create a fast single-page application with dynamic charts that react in real-time without needing page reloads.

All the visual components and behaviors seen on a TradingView chart originate from JavaScript code executing in the browser.

TypeScript Brings Type Safety

TypeScript adds type safety and scalability on top of regular JavaScript. Large codebases benefit from TypeScript’s:

  • Static type checking
  • Improved intellisense and autocompletion
  • Interface and class support
  • Future ES6+ feature compilation

TradingView leverages TypeScript extensively within their React-based web UI code to reduce bugs and ease maintenance as the platform grows.

React Powers the Frontend Framework

TradingView uses the React JavaScript framework to construct its front-end UI and components. React offers:

  • Composable UI components
  • Virtual DOM for performance
  • One-way data binding
  • Reusable component library
  • Optimized rendering and lifecycles

React allows building complex trading charts and dashboards that only update small necessary portions on state changes rather than whole pages. TradingView is essentially a large React single page application.

HTML5 and CSS3 for Structure and Design

The foundations of TradingView’s UI and charting components rely on HTML5 markup and CSS3 styling. HTML and CSS render the:

  • Overall page structure
  • Chart containers
  • Interactive DOM elements
  • Input forms and buttons
  • Color schemes and layout

TradingView uses modern HTML5 tags like Canvas extensively for rendering robust graphics and charts effortlessly. CSS handles the rest of the styling and animations.

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WebAssembly Powers Pine Script

The Pine Script language used to code indicators and strategies on TradingView compiles down to WebAssembly (WASM).

WebAssembly provides near-native application performance within web browsers. TradingView uses it to execute Pine Script efficiently with:

  • Near-native speeds
  • Client-side compilation
  • Small download sizes
  • Memory safety
  • Portability across browsers/devices

This allows even complex Pine scripts with many calculations to run smoothly in the browser without reliance on external servers.

WebSocket and HTTP APIs

TradingView leverages WebSocket and HTTP APIs for real-time and delayed data. The WebSocket API delivers:

  • Streaming real-time market data
  • Tick-by-tick updates
  • Push notifications on events

The REST API allows pulling historical market data for backtesting and offline charting.

These APIs integrate TradingView with brokers, exchanges and data providers to fuel its charts with real-time and historical data.

Cloud Infrastructure on AWS

TradingView’s cloud infrastructure relies on Amazon Web Services (AWS). AWS provides:

  • Serverless computing with Lambda
  • Containers via ECS and Fargate
  • Load balancing through ALB
  • High availability and auto-scaling
  • CDN and caching with CloudFront
  • Databases like RDS, DynamoDB
  • S3 storage for media assets
  • CloudFront for media delivery

AWS’s scalable on-demand infrastructure lets TradingView support spikes in traffic and usage while ensuring speed, reliability and security.

MongoDB and Redis Databases

TradingView uses MongoDB as its primary data store for:

  • User account data
  • Chart configurations
  • Saved indicators
  • Alerts and orders
  • Backtesting data
  • Watchlists

Redis provides a fast in-memory data cache to reduce load on the main database.

Kafka and Kinesis Stream Processing

For ingesting and processing real-time data at scale, TradingView leverages streaming tools like:

  • Kafka – queueing and orchestrating data pipelines
  • Kinesis – scalable real-time stream processing

These allow consuming endless streams of market data feeds in real-time for powering live charts and executing trading strategies.

NGINX Serving Web Content

The NGINX web server delivers TradingView’s static and dynamic content including:

  • HTML pages
  • JavaScript, CSS and image assets
  • API and WebSocket endpoints
  • Load balancing user requests
  • SSL termination and security headers
  • Caching and compression

NGINX can efficiently handle TradingView’s high-traffic workload and ensure low-latency delivery of chart data.

Grafana, Prometheus, ELK for Monitoring

TradingView uses open-source tools for observability and monitoring like:

  • Grafana dashboards for metrics visualization
  • Prometheus for time-series data monitoring
  • ELK (Elasticsearch, Logstash, Kibana) stack for aggregating and analyzing log data

These provide real-time visibility into the health of TradingView’s infrastructure and application.

CI/CD Pipeline with Jenkins

TradingView maintains an automated CI/CD pipeline using Jenkins for:

  • Running automated tests
  • Building and packaging application code
  • Automated deployments
  • Integration with GitHub
  • Facilitating continuous delivery

The pipeline ensures code changes flow safely from GitHub repos to production stacks.

The Technologies That Power TradingView

In summary, TradingView leverages:

  • JavaScript, TypeScript, React – For front-end app logic
  • HTML5, CSS3 – For UI structure and styling
  • WebAssembly – For Pine script compilation
  • AWS services – For cloud infrastructure
  • MongoDB, Redis – For data storage
  • NGINX – For content delivery
  • CI/CD pipelines – For automated deployments

Theextensive technology stack enables TradingView to offer performant charts, robust tools, and smooth user workflows delivered at global scale.

Understanding TradingView’s core technologies provides useful insights for developers looking to build similar trading platforms and applications using proven languages and architectures.

Author: Dominic Walsh

I am a highly regarded trader, author & coach with over 16 years of experience trading financial markets. Today I am recognized by many as a forex strategy developer. After starting blogging in 2014, I became one of the world's most widely followed forex trading coaches, with a monthly readership of more than 40,000 traders! Make sure to follow me on social media: Instagram | Facebook | Linkedin | Youtube| Twitter | Pinterest | Medium | Quora | Reddit | Telegram Channel

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