Install Divinity
Divinity is a trading algorithm I developed as a side project to improve my python skills and learn better software engineering. If you would like to install it and run it on your mac, linux, or even a cloud instance, then follow the instructions below.
To learn more about it check out the following links:
Quick start guide
Basic install
Clone repository
To install divinity on an OS or linux device then switch into the directory you’d like divinity to be in. Clone the repo then move into the divinity directory.
git clone https://github.com/kentkr/divinity
cd divinity
Install modules
If you have python version 3.8 already on your device, then use pip to install required modules.
pip install -r requirements.txt
Most of the modules are easy to install, but I had trouble getting prophet to work properly with python 3.7. If you have trouble then consult stack overflow, install with conda-forge, try using python 3.8, or create an issue and I can try and help.
Run the algorithm locally
The script is now able to be run with the --test flag and allow you to --plot the algorithm over the last year. Simply call python3 scripts/final_scripts/divinity.py --ticker TSLA --plot --test from the divinity directory. You can replace TSLA with any ticker available on yahoo finance.
Run the algorithm live
To run the algorithm in a paper or live account you first need to sign up for alpaca. It is a free brokerage with zero trading fees.
Next create a file in the root directory called .env.ini and add the following to it.
# keys for alpaca
# paper keys
[alpaca_paper]
alpaca_paper_key=
alpaca_paper_secret_key=
# real keys
[alpaca_real]
alpaca_real_key=
alpaca_real_secret_key=
Then go to your alpaca account get the key and secret key for either your paper or live account. Fill in the keys in the specified places above without quotes or spaces (eg alpaca_paper_key=ABC123).
To run the algorithm with a paper account do not use the --test flag. If you want to use your real account with real money specify the --live flag.
Legal disclaimer
I do not claim to be a financial advisor and investing carries inherent risks, so please use your own discretion. I claim no liability over financial losses made using divinity or iterations there of.