Trendet

Latest version: v0.7

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0.7

Release Features:
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* Function `identify_df_trends()` was not using properly the parameter `column`, since it was not being taken into consideration as it was being replaced by `'Close'`, it has already been fixed.
* Installation was erroring due to an error on the `requirements.txt` file, so it has been fixed and trendet can be now installed easily and without problems.

Information
---
Anyway, feel free to open as many [issues](https://github.com/alvarobartt/trendet/issues) as you think the package needs in order to improve **trendet**! Any kind of help is appreciated since this is an Open Source project.

Contact me via [email](alvarob96usal.es), via [LinkedIn](https://www.linkedin.com/in/alvarobartt/) or via [GitHub](https://github.com/alvarobartt).

0.6

Release Features:
---
* The presented plot in README.md and in the Documentation Usage section had a **minor error since weekends data was displayed even though the stock market is closed on weekends**, so it has been fixed by dvidgar, and the Pull Request have been merged into the master branch.
* As I changed my username from /alvarob96 to alvarobartt, changes were required to be applied to URLs and references.
* Also, **investpy's version was not updated** so the used version was an old one, and so as to keep some sort of consistency between **investpy**, **pyrtfolio** and **trendet**, it has been updated and all the function calls have been migrated so to fit 0.9.14 version.
* **Python 3.8 has been covered** since it is starting to be widely used and, so on, **coverage of Python 3.5 has been removed** since some F-strings are used while debugging.
* Some minor errors and bugs have been fixed too!

Information
---
Anyway, feel free to open as many [issues](https://github.com/alvarobartt/trendet/issues) as you think the package needs in order to improve **trendet**! Any kind of help is appreciated since this is an Open Source project.

Contact me via [email](alvarob96usal.es), via [LinkedIn](https://www.linkedin.com/in/alvarobartt/) or via [GitHub](https://github.com/alvarobartt).

0.5

0.4

0.3

0.2

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