Skip to main content

Welcome to Allokation 👋

GitHub release (latest by date) GitHub

A python package that gets stocks prices from yahoo finance and calculates how much of each stocks you must buy to have almost equal distribution between the stocks you want in your portfolio

***Disclaimer***

NO FINANCIAL ADVISE - This library DO NOT offer financial advises, it just calculates the amount of stocks you will need to buy based on stocks that YOU WILL INFORM and the market price of the day for these stocks, given by yahoo finance.

Requires

  • python >= 3.x

Install

  • install via pip
pip install allokation

Usage

  • It's quite simple to use this package, you just need to import the function allocate_money, pass a list of tickers you want and the available money you have to invest. If you want, you can also pass a list of the percentages of each stocks you want in your portfolio. This list of percentages must have the same length of the tickers.

  • It will return a dict containing the allocations you must need and the total money you must need to have this portfolio (This total will be less or equal than the available money you informed to the allocate_money function). For each stock, it will be returned the price that was used to calculate the portfolio, the amount of stocks you will need to buy, the total money you need to buy this amount of this stock and the percentage that this stock represents in your portfolio. For example:

{
    'allocations': {
        'B3SA3': {
            'price': 58.33,
            'amount': 3.0,
            'total': 174.99,
            'percentage': 18.14420803782506
        },
        'BBDC4': {
            'price': 21.97,
            'amount': 9.0,
            'total': 197.73,
            'percentage': 20.50205300485256
        },
        'MGLU3': {
            'price': 88.77,
            'amount': 2.0,
            'total': 177.54,
            'percentage': 18.408610177927088
        },
        'PETR4': {
            'price': 22.92,
            'amount': 9.0,
            'total': 206.28000000000003,
            'percentage': 21.388577827547596
        },
        'VVAR3': {
            'price': 18.9,
            'amount': 11.0,
            'total': 207.89999999999998,
            'percentage': 21.556550951847704
        }
    },
    'total_value': 964.4399999999999
}

Example

Check out the example available in example/example.py to see it in action.

Development Guide

Getting the project

  • clone this repository
git clone git@github.com:capaci/allokation.git
  • install dependencies
pip install -r requirements.txt
pip install -r requirements-tests.txt

Run tests

  • Unit tests
pytest tests/
  • Coverage
coverage run -m pytest tests/
coverage report
  • Linter
flake8

Author

👤 Rafael Capaci

Show your support

Give a ⭐️ if this project helped you!


This README was generated with ❤️ by readme-md-generator

Metadata

Release files for allokation 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for allokation 0.1.0
File Size Uploaded
allokation-0.1.0.tar.gz 4.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for allokation 0.1.0
File Interpreter ABI Platform
allokation-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 9.4 kB

Release files / allokation-0.1.0.tar.gz

Download URL allokation-0.1.0.tar.gz
Size 4.3 kB
Tags Source
SHA-256 checksum
How to use checksums
2d80e8a7a08efa0fa660ad36b3bee6cf8d1e2e2b05479c09c5f81a7dfdcdabe1
BLAKE2b-256 checksum
How to use checksums
d887227162144473be0366334e82135ffeb6bc8ecd9ec7312200ce83665059e5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.2

Release files / allokation-0.1.0-py3-none-any.whl

Download URL allokation-0.1.0-py3-none-any.whl
Size 5.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
77a69f91343d4746c3e4ece1c242d89dfeb2246bd5b0161c94afdd5c80acad4e
BLAKE2b-256 checksum
How to use checksums
e03be3f2265db06b01c489995d890a0d1359228eb439ae0a88c4bf7ac1b92ac2
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/44.0.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.8.2

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

0.0.3

2 release files

0.0.2

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page