09-04-2025
Modernizing how traders enhance their workflows with Python API
The issue
Hedge funds, private banks and other large asset managers are under pressure to become more efficient. Drivers include geopolitical risk and evolving market dynamics, the AI boom and the possibility of recession in the US.
Regulatory environments are also becoming more stringent. Alongside these pressures are growing regulatory consequences for operational errors.
Teams at asset managers and banks usually perform their own analyses to determine which trades need to be executed. Often, a team member is then required to manually type in the trade parameters in tickets on the Terminal before negotiating with counterparties.
Many leading institutions have identified this manual handling as a pain point and the automation of trading workflows.
Bloomberg's DOR for Python is one viable and cost-effective solution. The API enables developers and traders to integrate sophisticated trading capabilities into existing systems for fixed income, derivatives or FX portfolio management.
Tracking
To get started, download the DOR for Python software development kit (SDK) from the Bloomberg Developer portal.
Type 'Bloomberg developer' in the command line of a Bloomberg screen and click on the BDEV match in autocomplete. The shortcut is {BDEV}.
To download the DOR Python SDK, run {BDEV } to go to the Bloomberg Developer portal. Click on Downloads and then type 'DOR' in the Search Downloads field.
Click on Downloads. Then type 'DOR' in the Search Downloads field and hit . Click the icon to download a zip file. In it, you will find the Python package an examples directory and a file to help you with the installation.
Once you've installed the package in your Python environment, you can start to write code. The examples directory in the zip file contains a variety of samples of code to trade asset classes such as bonds, FX options, interest-rate swaps and TBAs.
