This is a tool for traders to help them decide to buy/sell/hold, or for ML engineers who want to make their hands dirty in working with Time series/Economical data.
- Clone the project:
git clone https://github.com/Hamtech-ai/iran-stock-market- Build and run application in the background.
docker-compose up --build -d- up will start the whole application.
- --build will first build the application before starting it.
- -d will run the application in the background.
To check complete Documentation for all steps check our wiki page.
The following three primary reasons led us to choose pytse-client library as our ML dataset of the Iranian stock market:
- Data is updated daily and non-stop.
- Contains valuable data about individual sales and purchases.
- Has a history of buying stocks over long periods.
- Using a cron job to run the model daily.
- Deployment With Docker Containers.
- Using NLP tools to enhance accuracy of model in daily predictions.
Before opening a PR, please read our contributor guide. This project exists thanks to all the people who contribute: