leverage-vizualization

Leverage vizualization for futures trading.

The package was tested only on Apple M1 chipset.

How to use the package

The best way to use the repo would be by running it in venv and executing in VSCode.

# clone the repo and make a venv from it
git clone https://github.com/vedrrran/leverage-vizualization.git
python3.9 -m venv leverage-vizualization

# go to repo and start venv
cd leverage-vizualization
source bin/activate

# install requirements
pip install -r requirements.txt

# start kernel that will be used by VSCode
ipython kernel install --user --name=leverage-vizualization

# then deactvate and activate venv - I had to do this step to have kernel listed in VSCode :)
deactivate
source bin/activate

# Run the cell with code in VSCode
# choose 'leverage-vizualization':venv as a kernel

Quick start

source leverage-vizualization/bin/activate
# then run the notebook in VSCode

Extra: How to create and run Jupyter notebook in VSCode running on M1 chipset

# create venv that will use Python version 3.9 (instead of default)
python3.9 -m venv pyenv396
source pyenv396/bin/activate

# install and run ipykernel to be able to run Jupyter from VSCode
pip install ipykernel
ipython kernel install --user --name=pyenv396
# update pip
pip3 install -U pip setuptools
pip install jupyter
pip install pandas
# this is a thing to install to be able to run numpy on M1 chipset
pip install spacy
pip install seaborn
# install this to use UI in Jupyter
pip install ipywidgets

# to deactivate venv, just run thid in the tab where activate was run
deactivate