[Stock Market Analytics Zoomcamp 2025] Module 5 "Advanced Trading Simulation and Automation"

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Module 5: Advanced Trading Simulation and Automation
This session introduces row-by-row trading simulation to reflect real-world constraints, such as limited capital, stop-loss/take-profit logic, and confidence-based investment sizing.
We'll simulate placing multiple trades per day based on probability thresholds.
In the second part, we automate our workflow by converting Colab notebooks into Python scripts and running everything from the command line.

🔍 Topics Covered

* Row-by-row trading simulation with capital constraints
* Applying stop-loss and take-profit logic
* Confidence-weighted and multi-trade daily strategies
* Converting Colab notebooks to runnable Python scripts
* Automating data generation and simulations via CLI

⏱ Timestamps:
0:00 - Introduction & Homework 4 Comments
Covers brief session intro, course approach, instructor background, key points on recent homework, and participant feedback.
24:15 - Advanced Strategy Simulation
Walkthrough of realistic, row-by-row trading simulation with capital constraints, investment sizing, stop-loss/take-profit, parameter optimization, and strategy ideas from submissions.
1:09:11 - Automation & Workflow
From notebook to scripts: converting experiments into automation; discussion of local project structure; scheduling, running from command line, and GitHub Actions/Streamlit examples.
1:21:26 - Capstone Project
Overview of capstone requirements, evaluation criteria, timeline, leaderboard, and participant advice.
1:28:09 - Recap & Final Notes
Session summary, next steps, and final encouragement.

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