This is a PyPI Library code which helps automate Bhav Copy Analysis.
Starting by creating a virtual environment in conda by the name vnv
conda create --name vnv
Switching to the above created virtual environment
source activate vnv
Installing jupyter notebook to work on it
conda install jupyter
Installing the AlgoFnO library from PyPI to work on it and backtest option strategies.
pip install AlgoFnO
Opening up jupyter notebook
jupyter-notebook
The code :
from AlgoFnO import *
list = ['RELIANCE','TCS','INFY']
object = BhavCopyAnalysis()
object.doAnalysis("/Users/anilaswani/Desktop/AlgoFnO Sample Data",list)
The output will be stored in the original folder location itself and the code requires two arguments, one is the location of the folder where the CM and F&O Bhav Copies are stored and the second argument is the list of stocks for which analysis is to be done.
https://drive.google.com/file/d/1UcjDs8ktoi6zcfwU86zHidbRH-JRQq5j/view?usp=sharing
