Advances in Financial Machine Learning
Advances in Financial Machine Learning by Marcos Lopez de Pradoby Marcos Lopez de Prado
Ranked 10 of 10 machine learning books by recommenders
People recommend it as a deep dive into machine learning techniques for financial modeling and data-driven trading. Few critics weighed in, and none raised a recurring complaint.
People recommend it as a deep dive into machine learning techniques for financial modeling and data-driven trading. Few critics weighed in, and none raised a recurring complaint.
2 people gave an opinion
- recommend it
- 2
- criticize it
- 0
- approval share
- 100%
Recommended in 2 of 13 months
- November 2025: not recommended
- December 2025: recommended
- January 2026: recommended
- February 2026: not recommended
- March 2026: not recommended
- April 2026: not recommended
- May 2026: not recommended
- June 2026: not recommended
- July 2026: not recommended
- August 2026: not recommended
- September 2026: not recommended
- October 2026: not recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 2 people recommend itNeeds 10 or more, not met.
- Nobody criticizes itNeeds 2 to 1 or better, met.
- Recommended in 2 of 13 monthsNeeds 4 or more, not met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Deep dive into ML techniques
“Deep dive into ML techniques if you want to start making money from data and math.”
Comment from 15 Dec 2025 in “Ask HN: End of Year Book Recommendations” Improves engineers in financial modeling
“if you're working in financial modeling, one way to improve as an engineer to get better at the domain”
Comment from 4 Jan 2026 in “Ask HN: Reading list for being a better engineer?”
Other machine learning books people recommend
The four most recommended other machine learning books, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Build a Large Language Model (From Scratch)by Sebastian Raschka | 16 | 0 | 100% | 8 | — | Approved |
| Build an LLM from Scratchby Sebastian Raschka | 8 | 0 | 100% | 5 | — | — |
| Python Data Science Handbookby Jake VanderPlas | 8 | 0 | 100% | 2 | — | — |
| The Little Learnerby Daniel P. Friedman and Anurag Mendhekar | 6 | 2 | 75% | 2 | — | — |
| Advances in Financial Machine Learningby Marcos Lopez de PradoThis page | 2 | 0 | 100% | 2 | — | — |
What people said
All 2 comments that mention it, newest first. Each links to the original comment.
“if you're working in financial modeling, one way to improve as an engineer to get better at the domain”
“Deep dive into ML techniques if you want to start making money from data and math.”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.