stock-agent-ops

(β˜… 304)

Designing end-to-end weekly stock report generation using LSTM and Agentic AI. Deploying on AWS with MLOps practices.

File Explorer

Download Latest Version (.zip)
  • .dockerignore
  • .env.example
  • .gitignore
  • .python-version
  • compare_transfer_learning.py
  • docker-compose.yml
  • main.py
  • pyproject.toml
  • README.md
  • run_docker.sh
  • run_k8s.sh
  • uv.lock

# Installation Guide

1. Get the code
git clone https://github.com/kmeanskaran/stock-agent-ops

Downloads the entire project code from GitHub to your computer.

cd stock-agent-ops

Moves into the project folder you just downloaded.

2. Official Install Script

Easy Recommended
curl -LsSf https://astral.sh/uv/install.sh | sh

Downloads and runs the official install script in one line β€” this handles the full setup automatically.

βœ… After installing, open a new terminal and run the program's version command (e.g. --version) to confirm it worked.

Pulled directly from this repo's README.

3. Docker

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Docker Desktop Needed to build and run containers. Install it and keep it running in the background.
docker-compose up --build -d

Runs the command against the services defined in the compose file.

βœ… Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.

Pulled directly from this repo's README.

4. Python

Easy
Prerequisites
  • Git Needed to download the project code from GitHub.
  • Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.
pip install -r backend/requirements.txt

Installs the Python libraries listed in requirements.txt (or similar).

python main.py

Runs the Python script (or module).

βœ… If it runs without errors and prints output in the terminal, it worked.

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Jupyter Notebook
// repository documentation