About
We publish quant research
with the working shown.
Most of what gets written about markets is either a sales pitch or a result with no method attached. QuantHQ exists to do the other thing: publish the paper, the data sources, and the attempts that failed — then hand it to a room full of people qualified to tear it apart.
It is open, it is free, and it is run by quants, engineers, and students who mostly argue about method.
Join the communityEach node is a topic we work on; an edge means the two show up together in our papers. Drag one to pull the map apart.
Signal intelligence, laid out.
This is how we lay out a research surface — sparklines, a sector grid, the job queue, and factor attribution on one screen. It is a layout demo, not a data product.
Simulated data. Nothing here is a market feed. Every price, sector move, job state, and factor loading is generated in your browser from sample values and refreshes on a timer. Results with real data and methodology live in the research archive.
The full interactive version, with the pipeline terminal and knowledge graph, is on the lab page.
Building practical AI systems through open research.
QuantHQ is a digital research institution — a place to make rigorous quantitative research open, collaborative, and reproducible, with a global community of quants, engineers, and scientists building in public.
A timeline of what we study.
Our agenda tracks the frontier — language-model evaluation and financial AI today, multimodal market models and autonomous research agents next.
- LLM Evaluation
- Financial AI
- Agent Systems
- Multimodal Market Models
- Autonomous Research Agents
Research that ships.
Everything we learn becomes something you can run — open frameworks, production infrastructure, and models, released rather than shelved.
Multi-agent orchestration for research pipelines.
Low-latency execution and portfolio tooling.
Chart and document understanding for markets.
Adversarial robustness for financial models.
Join the research community.
Where the network lives — debate, competition, and open collaboration across the globe.
Learn by doing research.
Workshops, courses, mentorship, and funded summer research for the next generation of quants.
Build a factor model in an afternoon.
From market microstructure to deep RL.
Paired with a working researcher.
A funded season inside the institution.
Where QuantHQ is headed.
What we are working towards next — a dedicated lab, released model weights, funded fellowships, and an annual gathering.
- Research Lab Dedicated full-time research
- Open-Source Models Weights, not just papers
- Student Fellowships Funded early-career researchers
- Annual Conference The community, in one room