Service · Python · REST · WebSocket

Broker API Trading Automation in Python for Forex and Stocks

Our broker API trading automation service writes Python scripts for official forex and stock broker APIs and for the MetaTrader5 Python package. The scripts run on your own PC or VPS, and your API keys stay with you.

  • Custom built
  • Demo testing before payment
  • Source code option
  • NDA on request
Broker API automation: a Python script trades through the broker's official REST and WebSocket API while the API keys stay on your machine

How it works

Rules → Code → Backtest → Deliver

  1. STEP 01

    Rules

    You share your entry, exit and risk rules in plain words.

  2. STEP 02

    Code

    We write clean MQL4, MQL5, Pine Script or Python code.

  3. STEP 03

    Backtest

    You test the build on your own demo account first.

  4. STEP 04

    Deliver

    You get the final file, a settings guide and setup help.

On this page

Broker API trading automation cycle from schedule to log and alert

Who this Python service is for

Broker API trading automation makes sense when your work goes beyond one chart. It suits traders who:

  • trade forex or stocks with a broker that offers an official API,
  • want a Python model to place trades on MT5 through the terminal,
  • copy fills into a spreadsheet by hand at the end of each day,
  • need alerts or a daily report without watching a screen.

If your strategy lives on one MT5 chart, an MT5 Expert Advisor is often simpler. So we tell you which route fits before we quote.

6 tasks we automate in Python

Most broker API trading automation jobs mix the same six tasks:

  1. Rule-based orders: the script reads prices, applies your rules and sends orders with a stop and target.
  2. Scheduling: jobs run at fixed times, such as every five minutes or once at the market open. Windows Task Scheduler or a Linux service starts them for you.
  3. Logging: every request, order and error goes into a dated log file, so you can trace what happened and when.
  4. Alerts: messages reach your Telegram bot or email when an order fills, a rule triggers or a job fails.
  5. Data export: trade history, positions and prices go into CSV or Excel files for your own records.
  6. Dashboards: a simple local page in your browser shows open orders, recent fills, job status and errors.

Layers of a Python script for broker API trading automation

Official broker APIs: REST and WebSocket

Most forex and stock brokers that offer an API use two channels. A REST API handles requests, such as placing an order or reading your positions. A WebSocket stream pushes live prices and order updates to the script.

Each broker also sets its own limits. For example, many cap the number of requests per minute, and access tokens often expire after a set time. So our scripts track the rate limit, renew tokens and retry with short waits after a network error.

A retry brings one classic risk: a duplicate order. Where the API supports it, every order carries a client ID. Before a retry, the script checks that ID, so the same order never goes out twice. On top of that, a kill switch stops new orders when the script hits a daily limit or too many errors.

The MetaTrader5 Python package

MT5 traders have a second route. The official MetaTrader5 package lets Python talk to a running MT5 terminal on Windows. With it, a script can read rates, check positions and send orders through your normal MT5 login. MetaQuotes documents each function in the MetaTrader5 Python package reference.

This route suits Python models that need MT5 prices, and traders who want reports from MT5 history. However, the terminal must stay open, so a Windows VPS is the usual home for these scripts.

MetaTrader5 Python package compared with a broker REST API

Your API keys stay with you

In broker API trading automation, your keys are the most sensitive part. That is why we never ask for your live keys. Instead, we build and test with demo or paper keys that you create. You then add your live keys to a local config file yourself.

  • No keys in code: the script loads keys from that local file or from Windows environment variables.
  • Least access: turn off any key permission the script does not need, such as withdrawals.
  • Clean logs: keys and tokens never appear in log files or alerts.

Before you start, check your broker’s API terms and your local regulations. Some brokers ask you to apply for API access, while others limit automated trading on certain account types.

Config file settings for API environment, schedule and order caps

How a broker API trading automation project works

  1. Rules: you send your rules and a link to your broker’s API docs. We read the docs and confirm what the API allows before we quote.
  2. Code: next, we write clean Python with comments, plus a config file for every setting you may change.
  3. Backtest on demo: after that, the script runs against the broker’s demo or paper environment. Where it makes sense, we also replay your rules on past data first.
  4. Deliver: finally, you get the files, a setup guide and a walkthrough on your PC or VPS.

What you receive

Each broker API trading automation project ends with a package you can run and maintain:

  • a packaged Windows app that runs without a Python install,
  • the Python source code with comments, if you chose that option,
  • a requirements.txt file and a config template,
  • a setup guide for your PC or VPS, plus a walkthrough call,
  • days of fixes after delivery.

Files you receive with a Python trading script

Safe delivery on a demo or paper account

The trial runs against your broker’s demo or paper environment, never a live account. We ship it as a packaged app with an expiry date. After the final payment, you get the full build and, if you chose it, the Python source.

Screenshot placeholder of a Python script log in a command window

Pricing for broker API trading automation

A single scheduled script with logs and alerts starts from $100. A full rule-based trading script with a dashboard costs more, because it needs more testing. You get one fixed USD quote once we have read the API docs. Our expert advisor development cost page compares typical ranges across services.

Prefer to keep TradingView as your signal source? Our TradingView to MT5 bridge turns alerts into MT5 trades. To mirror trades across your own accounts, see the MT5 trade copier.

Frequently asked questions

Which brokers can you work with?

Any forex or stock broker with an official, documented API, plus any MT5 broker through the MetaTrader5 Python package. Send us the link to the API docs, and we check it before we quote. We do not name or rank brokers.

Do you need my live API keys?

No. We build and test with demo or paper keys that you create. You then add your live keys to a local config file yourself, so they never leave your machine.

Does the MetaTrader5 Python package work on a Mac?

The package works with the MT5 terminal on Windows. So Mac users usually run the script on a Windows VPS or on a Windows PC that stays on.

Is API trading allowed by my broker?

Check your broker's API terms and your local regulations first. Some brokers ask you to apply for API access, and many limit how many requests you can send per minute.

Can the script send alerts to Telegram?

Yes. Alerts can go to a Telegram bot you own, to email, or to both. Each alert names the script, the event and the time in your own GCC time zone.

Do I need a VPS for broker API trading automation?

For scripts that run all day, yes, or a PC that never sleeps. A small Windows or Linux VPS handles most jobs. The MetaTrader5 package is the exception, since it needs Windows.

What happens if the internet drops?

The script retries with short waits and reconnects the price stream. If it still cannot reach the broker, it stops sending orders and sends you an alert.

WhatsApp · Email · Telegram

Tell us what you want to automate

Send your rules on WhatsApp. You get a clear quote, then a demo build to test before you pay in full.