Stock AI

Python module to get stock data from Yahoo! Finance

This is an ongoing project. If you have any requests or contributions, please create a ticket

Install

From PyPI with pip

pip install stockai

Development

Create a virtual environment

python3 -m venv venv
source env/bin/activate

pip3 install -r requirements.txt

For MacOS, you may need to use this command in order to install ciso8601

ARCHFLAGS="-arch x86_64" pip install ciso8601

Running Tests

python -m unittest tests/*

Running Jupyter Notebook

pip install jupyter
jupyter notebook

Usage examples

from stockai import Stock
td = Stock('TD.TO')

print(td.get_summary_profile())
print(td.get_price())
print(td.get_currency())

Get Historical Prices

### The date format should be yyyy-mm-dd
td.get_historical_prices('2019-01-01', '2019-01-05')

### The result is a dictionary with ['volumn', 'low', 'open', 'hight', 'close', 'date', 'adjclose']
{
   'volume':[
      3930300,
      5407700,
      5103400
   ],
   'low':[
      67.12000274658203,
      67.12000274658203,
      67.66999816894531
   ],
   'open':[
      67.51000213623047,
      68.11000061035156,
      68.0
   ],
   'high':[
      68.43000030517578,
      68.11000061035156,
      68.1500015258789
   ],
   'close':[
      68.25,
      67.30000305175781,
      67.9800033569336
   ],
   'date':[
      1546439400,
      1546525800,
      1546612200
   ],
   'adjclose':[
      67.57575225830078,
      66.63513946533203,
      67.30841827392578
   ]
}

Disclaimer

This project is for learning purpose. This is not intended to be investment advice for trading purposes.

• USE AT YOUR OWN RISK.
• DO NOT LEVERAGE THIS IN ATTEMPT TO DISRUPT ORDERLY MARKET FUNCTIONS.