Stock Trading Bot

Learn how to extract data, analyze, and decide on stocks in the market using Django, Celery, TimescaleDB, Jupyter, OpenAI, and more.

Tech Stack

• Python 3.12
• Django (pip install "Django>=5.1,<5.2")
• Django Timescaledb (pip install django-timescaledb)
• Python requests (pip install requests)
• Jupyter (pip install jupyter)
• Psycopg Binary Release (pip install "psycopg[binary]")
• Alpha Vantage Stock Market Data API (docs)
• More to come

Getting Started

Download the following:

• git
• VSCode (or Cursor)
• Docker Desktop or Docker Engine via get.docker.com (Linux Install Script)
• Python

Open a command line (Terminal, VSCode Terminal, Cursor Terminal, Powershell, etc)

Clone this Repo

mkdir -p ~/dev/stock-trading-bot
cd ~/dev/stock-trading-bot
git clone https://github.com/codingforentrepreneurs/Stock-Trading-Bot .

Checkout the start branch

git checkout start
rm -rf .git
git init
git add --all
git commit -m "It's my bot now"

Create a Python vitual environment macOS/Linux/WSL

python3.12 -m venv venv
source venv/bin/activate

windows powershell

c:\Path\To\Python312\python.exe -m venv venv
.\venv\Scripts\activate

Install requirements

(venv) python -m pip install -r requirements.txt

Docker Compose Up (for local TimescaleDB and Redis)

docker compose -f compose.yaml up -d

If you don't have Docker, use TimescaleDB Cloud and Upstash Redis

Create .env in project root

mkdir -p ~/dev/stock-trading-bot
echo "" >> .env

Add DATABASE_URL and REDIS_URL to .env (these are based on the compose.yaml file):

DATABASE_URL="postgresql://postgres:postgres@localhost:5431/postgres"
REDIS_URL="redis://localhost:6378"