ML-Quant
About ML-Quant
A weekly, machine-assisted, human-edited map of machine learning in quantitative finance.
What it is
ML-Quant started as an aggregator of quant research and became Quant Letter, a weekly newsletter read by more than 11,000 people. This site is the letter's home: every issue since May 2023, every paper it featured (6,396 so far) and what became of them.
How an issue is made
Every Friday a pipeline harvests the week's new papers from the arXiv API, SSRN (through Crossref) and RePEc's NEP reports. A small model screens each one for relevance, a second pass writes a one-sentence summary and ranks the best 30 per venue, and the most telling figure is cut from each paper's PDF. The same run reads what about 10,600 quant developers starred on GitHub, and checks Semantic Scholar for every paper we ever featured.
Sources and licences
| Papers | arXiv (metadata CC0), SSRN via Crossref, RePEc NEP |
| Citations and venues | Semantic Scholar (ODC-BY) |
| Summaries, rankings, topics | ML-Quant, CC BY 4.0 |
| GitHub radar | Public star lists; counts only, never usernames |
Elsewhere
Substack · GitHub · For agents