Final Project: Python for Data Analysis
Table of Contents
Overview
The goal of this project is computing the Bollinger Bands of a specified cryptocurrency pair and use that information to automate buy and sell signals. Data containing prices and volumes along time is obtanied via Krakenex API.
Installation
- From GitHub:
- Clone the repository:
git clone https://github.com/eduardo-miralles/pad-final-project.git
- Install poetry:
sudo apt install python3-poetry
- Install dependencies:
poetry install - To use poetry's virtual environment with the required dependencies, run:
poetry shell
- Clone the repository:
- From PiPy:
- Install the package:
pip install pad-final-project
Usage
- If the repo is clonned but the package is not installed, go to the main repo folder.
- To start the application run:
python -m pad_final_project
and make sure to have a browser installed. - To terminate the app, type
ctrl + Con the command line.
Tests
Run tests with the following command to see coverage:
poetry run pytest --cov
Contributors
- Eduardo Miralles [emirallesiz@alumni.unav.es]
Metadata
Release files for pad-final-project 0.1.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pad_final_project-0.1.7.tar.gz | 7.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pad_final_project-0.1.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 14.3 kB
Release files / pad_final_project-0.1.7.tar.gz
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Release files / pad_final_project-0.1.7-py3-none-any.whl
| Download URL | pad_final_project-0.1.7-py3-none-any.whl |
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| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.8.5 CPython/3.9.20 Linux/6.8.0-1017-azure
|