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PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading resource

Hands-On Machine Learning for Algorithmic Trading, published by Packt observed · 2026-08-28

github.com/PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2675
  • days_rel: n/a
  • days_push: 1323
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1914 stars · 683 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

The official code repository for the Packt book 'Hands-On Machine Learning for Algorithmic Trading', containing Jupyter Notebook examples in Python. It demonstrates applying supervised, unsupervised, and reinforcement learning to build investment and trading strategies using pandas, NumPy, and scikit-learn.

Use cases

  • learn machine learning for algorithmic trading
  • build trading strategies with python and ml
  • research alpha factors from market and alternative data
  • optimize portfolio risk with scikit-learn
  • example code for reinforcement learning in trading
  • study quantitative finance notebooks

When to choose

  • you are reading the book and want its companion code
  • you want hands-on Jupyter examples of ML applied to trading
  • you are a data scientist or analyst exploring quantitative finance

When to avoid

  • you need production-ready trading software or a live trading engine
  • you want a maintained library rather than book example code
  • you need a beginner introduction to Python or ML without finance context

Facets

learning-resource · maturity maintenance

machine-learning data-science trading etl fintech machine-learning data-science tutorials python cross-platform algorithmic-trading jupyter-notebooks book-code quantitative-finance reinforcement-learning portfolio-optimization packt

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For agents

markdown · JSON · MCP: product_card(name="PacktPublishing/Hands-On-Machine-Learning-for-Algorithmic-Trading")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem