mollionline / trading

Trading

1. Clone project

git clone

2. Create virtual environment for python

python3 -m venv venv

3. Activate virtual environment

source venv/bin/activate (bash)
.\venv\Scripts\activate (shell)

4. Install requirements

pip install -r requirements.txt

5. Now you can run app in local with venv

uvicorn main:app --reload --workers 1 --port 8000

6. Run pre-commit in local directory

pre-commit run --all-files

7. Run project with docker-compose

docker-compose up -d --build

8. API Docs with swagger go to

localhost:8000/docs

9. Send request with data like

{
    "candlestick_intl_per_minutes": 120,
    "ema_interval": 21
}

10. After send request with request body you will get response.csv file in uploads dir

uploads/response.csv

11. For visualize data run

python3 visualize.py