semvec/pypi-packages huggingface dataset:
FinScience 0.6
A trend indicator and two algoritmic trading strategies based on the alternative data provided by FinScience
License: MIT
Keywords: finscience

This library allows you to use four functions based on t he alternative-data metrics provided by FinScience s.r.l., namely the popularity and sentiment.

The Trend_Indicator function is a financial technical indicator based on machine learning model LightGBM, that allows you to predict the trend of returns

In particular, the SiSS function apply over a single title the so called "Signal Screener Strategy", which is an algorithmic function based on signals provided by sentiment and popularity.

The TI-SiSS is similar to the SiSS except for the fact that it is extremely dependent on the FinScience metrics since it exploits also the Trend Indicator

CHANGE LOG
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0.1 (15/06/2022)
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- First Release

0.2 (15/06/2022)
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- Second release with improvements

0.3 (15/06/2022)
----------------
- Released with improvements

0.4 (20/06/2022)
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- Released with improvements

0.5 (10/07/2022)
----------------
- Released with improvements

0.6 (11/07/2022)
----------------
- Bugs fixed
insight-workshop-commons 0.13
A Django app which includes commonly used serializer, models, pagination and mixins
License: MIT
Requires Python: >=3.8

=======
Commons
=======

Commons is a Django app that includes commonly used
serializer, models, pagination and mixins while developing an
API with DjangoRestFramework .


Quick start
-----------

1. Add "commons" to your INSTALLED_APPS setting like this:

    INSTALLED_APPS = [
        ...
        'commons',

    ]

2. Include the polls URLconf in your project urls.py like this:

    path('commons/', include('commons.urls')),

3. Run ``python manage.py migrate`` to create the polls models.

4. Start the development server