Skip to main content

Final project for the 'Python for data analysis' subject in the UNAV Master's degree in Big Data Science.

Project description

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:
    1. Clone the repository:
      git clone https://github.com/eduardo-miralles/pad-final-project.git
      
    2. Install poetry:
      sudo apt install python3-poetry
      
    3. Install dependencies:
      poetry install
      
    4. To use poetry's virtual environment with the required dependencies, run:
      poetry shell
      
  • From PiPy:
    1. Install the package:
    pip install pad-final-project
    

Usage

  1. If the repo is clonned but the package is not installed, go to the main repo folder.
  2. To start the application run:
    python -m pad_final_project
    
    and make sure to have a browser installed.
  3. To terminate the app, type ctrl + C on the command line.

Tests

Run tests with the following command to see coverage:

poetry run pytest --cov

Contributors

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pad_final_project-0.1.5.tar.gz (6.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pad_final_project-0.1.5-py3-none-any.whl (7.1 kB view details)

Uploaded Python 3

File details

Details for the file pad_final_project-0.1.5.tar.gz.

File metadata

  • Download URL: pad_final_project-0.1.5.tar.gz
  • Upload date:
  • Size: 6.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.5 CPython/3.9.20 Linux/6.8.0-1017-azure

File hashes

Hashes for pad_final_project-0.1.5.tar.gz
Algorithm Hash digest
SHA256 2653877c2728e0f28d7c102b9f150e79d9c08a27d23275f84653768085555e5c
MD5 a519b6b4143fa3638894e0ba28c23d9e
BLAKE2b-256 61c544b044b0700f3ea7f3f67f5342b83069cdc0fd0172e8939a5db33c92b3c2

See more details on using hashes here.

File details

Details for the file pad_final_project-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: pad_final_project-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 7.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.8.5 CPython/3.9.20 Linux/6.8.0-1017-azure

File hashes

Hashes for pad_final_project-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 ca8e31ab0b8fb0bab08bce5f803ba62b08fea191c078506a09c9825634f45d72
MD5 6c7b6babf0d3dcd09a9b755799cee7b4
BLAKE2b-256 6a2e00cc6983cac534d0333a855c8ed88927c0a548f13d161ee475d2220faf73

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page