Table of Contents
Overview
Support For Major Exchanges.
∘ Americas
∘ Asia Pacific
∘ Europe
Setup
∘ Requirements
∘ Installation
Examples
∘ Basic Example
∘ Multi Symbol Example
∘ International Example
∘ Asynchronous Example
Contact Us
Important Links
- Documentation: quantel.io/docs/python
- Source Code: ratherbland/Quantel
- API Key: links.quantel.io/getstarted
- PyPi: pypi.org/project/quantel/
Overview
Some features of Quantel:
- Fast: Data is retrieved through API endpoints instead of web scraping. Additionally, asynchronous requests can be utilized with simple configuration
- Simple: Data for multiple symbols can be retrieved with simple one-liners
- Lightweight: Minimal reliance on third-party packages
- Powerful: 40+ years of historical financial data for almost 25k thousand companies across the globe
Support For Major Exchanges.
Americas
- NASDAQ
- New York Stock Exchange (NYSE)
- Toronto Stock Exchange (TSX)
Asia Pacific
- Australian Stock Exchange (ASX)
- Hong Kong Stock Exchange (HKEX)
- National Indian Stock Exchange (NSE)
Europe
- German Electronic Exchange (XETRA)
- EuroNext (ENX)
- London Stock Exchange (LSE)
- Moscow Stock Exchange (MOEX)
- Oslo Stock Exchange (OSE)
- Swiss Stock Exchange (SIX)
Examples
Basic Example
Multi Symbol Example
The ticker class makes it easy to retrieve data for a list of symbols with the same API. Simply pass a list of symbols as the argument to the ticker class.
International Example
Quantel supports the majority of international exchanges. Read more about what data is supported by which exchanges at quantel.io/docs/python
Asynchronous Example
It really is that simple. Set asynchronous=True when instantiating the ticker class.
This project is licensed under the terms of the MIT license.
Contact Us
Need help? Reach out to me directly via guy@quantel.io
