rmcmillan34/algorithmic-trading-learning-roadmap
A comprehensive learning roadmap for mastering the core disciplines necessary for successful sole algorithmic trading. This repository serves as a structured template, guiding users through essential topics in software engineering, data science, machine learning, and finance. It combines certifications, curated resources, and hands-on projects.
This is a structured learning roadmap for individuals aiming to become algorithmic traders. It takes you from foundational concepts across software engineering, data science, machine learning, and finance to the advanced skills needed to build and deploy trading algorithms. The output is a well-rounded skillset and knowledge base for those looking to achieve financial independence through automated trading strategies.
139 stars.
Use this if you want a comprehensive, self-paced guide to master the diverse skills required for successful algorithmic trading, without getting lost in countless fragmented resources.
Not ideal if you are looking for ready-to-use trading algorithms or a quick-start guide to make your first trade.
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139
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17
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Shell
License
MIT
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Last pushed
Feb 07, 2026
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