Implementation of visualisation and reporting analytics for Quantitative Investment Strategies

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License: MIT License, Other/Proprietary License (LICENSE.txt)

Author: Artur Sepp

Maintainer: Artur Sepp

Tags quantitative, investing, portfolio optimization, systematic strategies, volatility

Requires: Python >=3.8, <3.11

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Project description

READ ME

QIS stands for Quantitative investment strategies. The package implements analytics for analysis, simulation, and visualization of quantitative strategies

Installation

pip install qis

Analytics

The QIS package is split into subpackages based on the scope level.

The inclusion level is from a low dependency to higher dependency subpackages:

  1. utils is low level utilities for pandas and numpy operations

  2. perfstats is subpackage for performance statistics related to returns, volatilities, etc.

  3. plots is subpackage for plotting apis

  4. models includes several modules for analytical models split by applications

  5. portfolio is a high level package for analysis, simulation, and reporting of quant strategies

  6. data is a stand-alone package for data fetching using external apis

  7. example is modul with examples of QIS analytics

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ArturSepp from gravatar.com ArturSepp

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT License, Other/Proprietary License (LICENSE.txt)

Author: Artur Sepp

Maintainer: Artur Sepp

Tags quantitative, investing, portfolio optimization, systematic strategies, volatility

Requires: Python >=3.8, <3.11

Classifiers

Release history Release notifications | RSS feed

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This version

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Source Distribution

qis-1.0.4.tar.gz (983.6 kB view hashes)

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