Hire a WebSocket developer to connect live prices, order books, fills and account updates to your strategies, applications and dashboards — or to build a streaming service of your own.
Three examples of updates a trading application can receive.
A WebSocket is a connection that stays open between your software and a provider. New prices, order book changes and account events arrive as they happen, instead of being requested again and again.
Some providers also accept commands over the same connection — Binance, for example, lets orders be placed through its WebSocket API. Others use WebSocket for updates only and take orders through REST.
Our WebSocket developers connect these streams to your strategies and applications, build tools that react to them, and fix connections that drop, lag or fall out of step with the account.
Connect a live stream, build around one, share your own, or fix one that is not behaving.
Live quotes, trades, order book depth and account events connected to your existing strategy, application or trading platform — with subscriptions, sign-in and reconnection handled.
Tools that react to live events: scanners, dashboards, risk monitors and data recorders. For complete automated strategies, see Trading Bot Development.
Updates from your own trading system streamed to a web panel, another application or many connected clients at once — for example, a Python model whose results appear live in a browser.
Connections that drop, fall behind the market, lose subscriptions, repeat events or drift out of step with the account — diagnosed, fixed and checked against the behaviour you expect.
Send the provider or its documentation, the events your software needs and where the data should go — we will tell you what is possible and what it would take.
Every project connects a source to a destination. These are the most common on both sides.
Not every live feed is a WebSocket. TradeStation, for example, streams over HTTP — we work with whatever the provider uses. See TradeStation development.
Live connections are judged by what happens when something goes wrong. These are the situations a project is designed around.
A WebSocket developer agrees the source, the events, the destination and the expected load with you before any code is written.
Tell us where the data comes from, what your application should do with it, and whether there is existing code or a problem to fix. Load and outage behaviour are worked out together with you during scoping.
Receive the connection and application components, source files included in the scope, and instructions for setup and use. We walk through the specified behaviour and provide technical support under the agreed terms.
Live-data integrations from a team that builds trading tools running on live data every day.
Our trade copiers react to executions as they happen and our order-flow indicators work trade by trade, so live market data is familiar ground.
Each connection is checked with live data, the load agreed in the scope and the failure cases that matter to it.
Requirements, deliverables, fixed price and acceptance examples are agreed before development begins.
An NDA is available on request. Source code and full IP ownership are transferred on delivery.
Setup help, configuration explanations and technical answers within the agreed support scope.
Feedback from clients across our custom trading software projects.
Short answers about live feeds, orders, outages and connection types.
A WebSocket is a connection that stays open between your software and a provider. New prices, order book changes and account events arrive as they happen, instead of your software asking for them again and again.
Yes. We add the connection to your Python or C# application, subscribe to the data it needs, and handle authentication and reconnection, keeping your own logic as it is.
With some providers, yes — Binance, for example, accepts orders through its WebSocket API. Many brokers use WebSocket for updates only and take orders through REST, so the route is chosen per provider.
The application reconnects, signs in again where needed and restores the subscriptions it needs. Orders and positions are then checked against the account, because events missed during the outage may not be sent again — that depends on the provider.
Yes. A service collects the live data, calculates what you need — P&L, exposure, spreads — and streams the results to a web panel or to several connected users at once.
Often more than one. REST handles requests such as placing orders or loading history, WebSocket keeps live updates flowing, and webhooks deliver signals from outside systems. See our pages on REST API integration and webhook automation for how they fit together.
Where the data comes from, what your application should do with it, and any existing code or the problem you are seeing. Expected load and how the system should behave during outages are worked out together with you.
Whether you need a live feed connected, an application built around one, or a connection fixed — tell us where the data comes from and what should happen. We will review it and outline a practical scope.