stock_analyzer_bot

A comprehensive system for extracting financial data, performing advanced analytics, and generating actionable trading insights - powered by Django, Celery, TimescaleDB, Jupyter, OpenAI, and few more.

Setup:

1. Create new virtual env:

py -3.12 -m venv venv

2. Activate your virtual env:

venv/Scripts/activate

3. Install packages from included requirements.txt:

pip install -r .\requirements.txt

4. Run docker container:

docker compose up -d

5. Go to src dir

cd src

6. Apply database migrations:

python manage.py migrate

7. Create admin user:

python manage.py createsuperuser

8. Create Selected stocks using:

nbs/11 - Verify Stock Sync.ipynb

Run

1. Run django server:

python manage.py runserver

2. In a new terminal run celery beat:

celery -A sab_home beat

3. In a new terminal run celery:

celery -A sab_home worker -l info

4. Create periodic tasks in django admin:

5. Wait for task to synchronize data:

6. Got to:

http://localhost:8000/market/chart/