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v1.1.7 (#109)
* README update * README update 2 * Docs update with meta data * Poetry update
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README.rst

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==================================
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This package allows you to explore open-source implementations of some of our
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fundamental technologies, e.g., Entropy Pooling and CVaR optimization in Python.
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fundamental methods, e.g., Entropy Pooling and CVaR optimization in Python.
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See this `YouTube playlist <https://www.youtube.com/playlist?list=PLfI2BKNVj_b2rurUsCtc2F8lqtPWqcs2K>`_
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for a walkthrough of the package's functionality and examples.
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For a pedagogical and deep presentation of the investment framework, see the
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`Portfolio Construction and Risk Management Book <https://antonvorobets.substack.com/p/pcrm-book>`_.
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Note that if you end up among the top 10 contributors to the Portfolio Construction
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and Risk Management book by February 2, 11:59 PM (GMT-8), you get to try out an
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institutional-grade implementation of the investment framework and methods for
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three months.
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Audience
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--------
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Installation can be done via pip::
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pip install fortitudo.tech
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pip install -U fortitudo.tech
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For best performance, we recommend that you install the package in a `conda environment
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<https://conda.io/projects/conda/en/latest/user-guide/concepts/environments.html>`_
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docs/build/html/_sources/index.rst.txt

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==================================
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This package allows you to explore open-source implementations of some of our
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fundamental technologies, e.g., Entropy Pooling and CVaR optimization in Python.
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fundamental methods, e.g., Entropy Pooling and CVaR optimization in Python.
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See this `YouTube playlist <https://www.youtube.com/playlist?list=PLfI2BKNVj_b2rurUsCtc2F8lqtPWqcs2K>`_
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for a walkthrough of the package's functionality and examples.
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`SSRN articles <https://ssrn.com/author=2738420>`_.
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For a pedagogical and deep presentation of the investment framework,
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you can access the `Portfolio Construction and Risk Management Book <https://igg.me/at/pcrm-book>`_.
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see the `Portfolio Construction and Risk Management Book <https://antonvorobets.substack.com/p/pcrm-book>`_.
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Audience
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--------
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support and feature requests. If you experience bugs with some of the upstream
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packages, please report them directly to the maintainers of the upstream packages.
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.. meta::
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:description lang=en: Fortitudo Techonologies' open-source Python code that allows you to
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combine Entropy Pooling with CVaR optimization for fully general distributions.
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:keywords: Conditional Value-at-Risk, Entropy Pooling, Python, Investment, Quant, Finance
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.. toctree::
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:hidden:
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docs/build/html/_sources/installation.rst.txt

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Installation can be done via pip::
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pip install fortitudo.tech
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pip install -U fortitudo.tech
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For best performance, we recommend that you install the package in a `conda environment
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<https://conda.io/projects/conda/en/latest/user-guide/concepts/environments.html>`_

docs/build/html/contributing.html

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fortitudo.tech
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docs/build/html/documentation.html

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docs/build/html/examples.html

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docs/build/html/genindex.html

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