quantpylib
DISCLAIMER
None of the information contained here or on hangukquant.substack.com or its affiliated platforms constitutes an offer (or solicitation of an offer) to buy or sell any currency, product or financial instrument, to make any investment, or to participate in any particular trading strategy, or a recommendation for any security or any third party. Trading involves real risks of loss and is solely your responsibility. Past performance is not indicative of future performance; material enclosed herein is for educational purposes only. There is absolutely no warranty or guarantee implied with this product. Use at your own risk. Trading is a risky operation.COPYRIGHT
Sharing and distribution of any material taken herein is not allowed without express and written approval by HangukQuant, and is only intended for private usage. The code is meant for subscribers of hangukquant.substack.com and any member expressly allowed by HangukQuant.Welcome to the quantpylib repository! This repository is a Python package for quantitative trading and research, with in-house tools for powerful, fast, flexible and batteries-included quantitative backtesting, data retrieval and all things quant trading. The library is not specific to any strategy or trading instrument. Members are encouraged to participate in the contribution of the code.
The code requires a 3.8+ version of Python to run.
Table of Contents
Installation
To install this library, users need to obtain access to the private Github repo by leaving your Github id on our post or directly requesting to be shortlisted (for unpaid readers) to HangukQuant by email (hangukquant@gmail.com).
You can use quantpylib in your local Python environment after cloning our repository and running
setup.py Python script.
To run our example scripts, you may run
User Documentation and Examples
Please refer to our user documentation and examples here.
Running Tests
Our test suites can be run using the pytest framework. To run all tests, run