Trading Economics - Python

The Trading Economics Application Python package provides direct access to millions of time series with economic data, financial markets quotes, commodity prices, crypto currencies data and much more. It also allows you to query Trading Economics real-time economic calendar and to subscribe to updates.

Installation

pip install tradingeconomics

Install the latest version directly from GitHub

git clone https://github.com/tradingeconomics/tradingeconomics-python.git
cd tradingeconomics-python
python setup.py install

Authentication

Protect your credentials! Please set your keys as environment variables before you launch your application. This lets you share your code without disclosing your credentials.

Windows

In Windows, you can permanently set environment variables using a settings window - just type "environment variables" on windows search to locate it. As an alternative, you can temporarily set them using the command line terminal.

# windows command line
set apikey='guest:guest'

Linux / Mac

export apikey='guest:guest'

Login - the secure way

import tradingeconomics as te
te.login()

Login - the easy way

import tradingeconomics as te
te.login('guest:guest')

Please replace guest:guest with your API key or we will be returning sample data.

Sample Usage

te.getCalendarData()
te.getIndicatorData(country=['mexico', 'sweden'], output_type='df')
te.getMarketsData(marketsField = 'commodities')
te.getMarketsBySymbol(symbols='aapl:us')
te.getFinancialsData(symbol = 'aapl:us', output_type = 'df')

More examples

https://github.com/tradingeconomics/tradingeconomics-python/tree/main/examples

Docker

Try our python interface in a container without installing anything

docker run -it --name te-python tradingeconomics-python:latest

Documentation

https://docs.tradingeconomics.com

Learn More

https://tradingeconomics.com/analytics/api.aspx