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A Chinese quantitative finance tutorial for absolute beginners, using Jupyter Notebook format, containing 4 chapters (quantitative cognition, return analysis, dual moving average strategy, and strategy backtesting). Uses yfinance to fetch real data, each chapter can be run through in about 30 minutes.
Recommendation for a machine learning resource: this project derives classic algorithms from mathematical first principles, implements them step-by-step in Jupyter Notebooks, and visualizes the training process to help learners gain an intuitive understanding.
A user evaluated Hugging Face's ml-intern tool by requesting it to fine-tune SAM on a medical dataset and produce both a Jupyter notebook tutorial and a blog post.