About thequant.space
Using the site from an AI agent or a script? The machine-readable entry points (llms.txt, the full corpus as JSON, field definitions, citation format, usage terms) are on the agents page.
thequant.space turns the firehose of quantitative finance research into something you can actually navigate. We process papers from arXiv’s q-fin sections and SSRN, and for each one we publish:
- A research flowchart — the paper’s goal, data, methodology, and findings as a visual diagram you can absorb in seconds.
- A complexity vs. rigor score — how mathematically demanding the paper is, and how empirically tested its claims are. See the scoring methodology.
- A plain-language summary with extracted keywords.
Why scores?
Most paper triage fails in one of two ways: you either drown in elegant theory that has never touched real data, or you chase backtests built on shaky foundations. Scoring every paper on math complexity and empirical rigor separately makes that trade-off visible before you invest an afternoon in reading. The four quadrants — Holy Grail, Street Traders, Lab Rats, and Philosophers — are explained in the score guide.
How it works
The pipeline fetches new papers daily, extracts the abstract and structure, scores each paper with an LLM-assisted review against a fixed rubric, and renders the flowchart. Scores are heuristics, not peer review — they tell you where to look first, not what to believe.
Contact
Questions, corrections, or partnership inquiries: reach out on LinkedIn or subscribe to the newsletter below — replies go straight to the author.