$ show rmcmillan34/algorithmic-trading-learning-roadmap
This repository is a self-paced learning roadmap for algorithmic trading, structured as a hierarchical collection of markdown files. It curates resources, certifications, and project ideas across artificial intelligence, computer science, mathematics, finance, cloud engineering, and software engineering. The repository is entirely documentation-driven; there are no executable applications, data pipelines, or machine learning models. Its primary value lies in its organized curriculum, reusable topic templates, and role-based learning paths (e.g., quant developer, algorithmic trader). While not a software project, it demonstrates high organizational craftsmanship through consistent documentation structure, templates, and CI/CD for link checking and diagram rendering.
The LLM identified 1 files worth highlighting for reuse:
A small bash script that renders Mermaid diagram files (.mmd) into SVG images using the mermaid-cli tool. It iterates over roadmap persona diagrams, skips empty or comment-only files, and outputs SVGs to a designated assets directory. This script is self-contained, idempotent, and can be reused in any repository that requires automated diagram rendering from Mermaid source files.