quantel 0.4

Official Python Library for the Quantel Finance API

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Website: quantel.io

Documentation: quantel.io/docs/python

Blog Posts: The Most Powerful Python Finance Library You’ve Never Heard Of

Source Code: ratherbland/Quantel

Get API Key: links.quantel.io/getstarted

Table of Contents

• Overview
• Support For Major Exchanges.
• Setup
  • Requirements
  • Installation
• Examples
  • Basic Example
  • Multiple Symbol Example
  • International Example
  • Asynchronous Example
• License
• Contact

Overview

Quantel is a powerful financial data and insights API. It provides easy access to world-class financial information. Quantel goes beyond just financial statements, giving users valuable information like insider transactions, major shareholder transactions, share ownership, peers, and so much more.

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)

Setup

Requirements

Python 3.6+

• Requests - The elegant and simple HTTP library for Python, built for human beings.
• Aiohttp - Asynchronous HTTP Client/Server for asyncio and Python.

Installation

pip install quantel

Examples

Basic Example

from quantel import Quantel

# Authenticate with the API
qt = Quantel(api_key="<quantel-api-key>")

# Instantiate the ticker class
goog = qt.ticker('goog')

# Retrieve company profile
goog.profile()

Multiple Symbol Example

The ticker class also 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.

from quantel import Quantel

qt = Quantel(api_key="<quantel-api-key>")

symbols = ['fb', 'aapl', 'amzn', 'nflx', 'goog']

faang = qt.ticker(symbols)

faang.profile()

International Example

Quantel supports the majority of international exchanges. Read more about what data is supported by which exchanges at quantel.io/docs/

from quantel import Quantel

qt = Quantel(api_key="<quantel-api-key>")

symbols = ['DHER.DE', 'CBA.AX', 'DNB.OL', 'NESN.SW', 'ULVR.L', 'SHOP.TO', 'EDF.PA', ' RELIANCE.NS']

international = qt.ticker(symbols)

international.balance_sheet()

Asynchronous Example

It really is that simple. Set asynchronous=True when instantiating the ticker class.

from quantel import Quantel

qt = Quantel(api_key="<quantel-api-key>")

goog = qt.ticker('goog', asynchronous=True)

goog.profile()

License

This project is licensed under the terms of the MIT license.

Contact

Questions can be raised directly via guy@quantel.io