Course Wiki
Deployment and Automation — Stock Markets Analytics Zoomcamp Module 5
Livestream, slides, and Colab materials for Deployment and Automation.
Related Pages
Stock Markets Analytics Zoomcamp › Module 5: Deployment and Automation › Deployment and Automation
Notes
Deployment and Automation Module
2025
- Youtube Recording of the livestream on August 4th 2025
- Code in Colab : Module_05_Advanced_Strategies_And_Simulation.ipynb
- Please make sure you clone the repo to a local machine and view via Jupyter Notebook
- OR open the notebook from https://colab.research.google.com/
- (Note: GitHub’s UI may truncate the code and the output)
- Home assignment (Homework 5) No Homework Assignment for Module 5
2024
-
Code in Colab : Module_05_Advanced_Strategies_And_Simulation.ipynb
- Please make sure you clone the repo to a local machine and view via Jupyter Notebook
- OR open the notebook from https://colab.research.google.com/
- (Note: GitHub’s UI may truncate the code and the output)
-
Home assignment (Homework 5) No Homework Assignment for Module 5
Local Automation Instructions
Setting Up the Project Environment (in Terminal)
- Change the working directory to the Module5 folder:
cd 05-deployment-and-automation/ - Install virtual environment:
pip3 install virtualenv - Create a new virtual environment (venv):
virtualenv venv(or runpython3 -m venv venv) - Activate the new virtual environment:
source venv/bin/activate - Install Ta-lib (on Mac):
- Step 1: Install Homebrew (if not already installed):
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)" - Step 2:
- Step 1: Install Homebrew (if not already installed):
Key concepts
Related notes
- mlz-m01-crisp-dm
- mlz-m01-setting-up-the-environment
- sma-m01-introduction-and-data-sources
- sma-m02-working-with-the-data
- sma-m03-analytical-modeling
- sma-m04-trading-strategy-and-simulation