From 91bb22a3033f58f3bf9633b7846ed1fdcf49b0a4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=C3=81lvaro=20Bartolom=C3=A9=20del=20Canto?= Date: Wed, 21 Aug 2019 18:19:59 +0200 Subject: [PATCH] readme.md updated & minor changes --- .gitignore | 3 ++- README.md | 48 +++++++++++++++++++++++++++++++++++++++++++- docs/trendet.jpg | Bin 0 -> 184849 bytes requirements.txt | 2 ++ setup.py | 5 ++++- trendet/__init__.py | 2 +- 6 files changed, 56 insertions(+), 4 deletions(-) create mode 100644 docs/trendet.jpg create mode 100644 requirements.txt diff --git a/.gitignore b/.gitignore index 805473e..0710d97 100644 --- a/.gitignore +++ b/.gitignore @@ -106,4 +106,5 @@ venv.bak/ # PyCharm IDEA files .idea .idea/ -.idea/* \ No newline at end of file +.idea/* +.idea/workspace.xml diff --git a/README.md b/README.md index 5631ee7..0d836b4 100644 --- a/README.md +++ b/README.md @@ -1 +1,47 @@ -# trendet - Python package for trend detection on stock time series +# trendet - is a Python package for trend detection on stock time series data + +[![Python Version](https://img.shields.io/pypi/pyversions/trendet.svg)](https://pypi.org/project/trendet/) +[![PyPi Version](https://img.shields.io/pypi/v/trendet.svg)](https://pypi.org/project/trendet/) +[![Package Status](https://img.shields.io/pypi/status/trendet.svg)](https://pypi.org/project/trendet/) +[![Build Status](https://dev.azure.com/alvarob96/alvarob96/_apis/build/status/alvarob96.trendet?branchName=master)](https://dev.azure.com/alvarob96/alvarob96/_build?definitionId=1&_a=summary) +[![Build Status](https://img.shields.io/travis/alvarob96/trendet/master.svg?label=Travis%20CI&logo=travis&logoColor=white)](https://travis-ci.org/alvarob96/trendet) +[![Documentation Status](https://readthedocs.org/projects/trendet/badge/?version=latest)](https://trendet.readthedocs.io/) +[![Downloads](https://img.shields.io/pypi/dm/trendet.svg?style=flat)](https://pypistats.org/packages/trendet) + +

+ +

+ +## Introduction + +**trendet** is a Python package to detect trends on the market so to analyze its behaviour. So on, this package +has been created to support [investpy](https://github.com/alvarob96/investpy) features when it comes to data retrieval +from different financial products such as stocks/equities, funds or ETFs. **trendet** is intended to be used combined +with **investpy**, but also with every OHLC `pandas.DataFrame`. + +## Installation + +In order to get this package working you will need to install it using pip by typing on the terminal: + +``$ python -m pip install trendet --upgrade`` + +Or just install the current release or a specific release version such as: + +``$ python -m pip install trendet==0.1`` + +## Contribute + +As this is an open source project it is open to contributions, bug reports, bug fixes, documentation improvements, +enhancements and ideas. + +Also there is an open tab of [issues](https://github.com/alvarob96/trendet/issues) where anyone can contribute opening +new issues if needed or navigate through them in order to solve them or contribute to its solving. + +## Disclaimer + +This package has been created so to identify market trends based on stock historical data retrieved via +[investpy](https://github.com/alvarob96/investpy) so to determine which trends have been prevailing on the market +based on a single stock/equity OHLC values. + +Conclude that this is the result of a research project, so this package has been developed with research purposes and +no profit is intended. diff --git a/docs/trendet.jpg b/docs/trendet.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e90384629984717f7d46c260d1ed38132ba0cb33 GIT binary patch literal 184849 zcmeEv1z40>+wf2liim=gf(nR$bmtgL3rII8h?F!4QlluKq_iL~QqmyZj7kXzNOyNL z+1Wi@9uuz_x=~-rQT}LZTxiM~Ds|JxoYQOiFx|0*rZrEq*!}3AUa^4 zcvzoapx<6t*f_X&hwupqi4FrlC_Dzj2FAw5#lgeF#RY!t4tx*7CB-{_mh1AN6G}Jn z&)Jf3KM0N|pudv)hFrOAm4V05&XbVnBn2fEHRE}v3(PFMeEb4}Lc&*nk&u*^F5b`kG#Bn9zXF72@MO6hS;P~7(g!DYh ztK^1uZA2#-c*hvwA3^&B*`EW<^FM;@3t;lo*1Bpp1l@610o)4w#VAqnk#Jx0$Gyb`eo8qbKE$=alL?}e?# 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description='trendet - Python package for trend detection on stock time series', long_description=readme(), long_description_content_type='text/markdown', - install_requires=[], + install_requires=[ + 'investpy==0.8.8', + 'setuptools==41.2.0' + ], data_files=[], include_package_data=True, classifiers=[ diff --git a/trendet/__init__.py b/trendet/__init__.py index fc5808d..cf52e39 100644 --- a/trendet/__init__.py +++ b/trendet/__init__.py @@ -30,7 +30,7 @@ def identify_trends(equity, from_date, to_date, window_size=5, trend_limit=3, la Returns: :obj:`pandas.DataFrame`: The function returns a :obj:`pandas.DataFrame` which contains the retrieved historical data from Investing - using investpy, with a new column which identifies every trend found on the market between two dates + using `investpy`, with a new column which identifies every trend found on the market between two dates identifying when did the trend started and when did it end. So the additional column contains labeled date ranges. Raises: