Welcome to the OpenQuant research & data platform
OpenQuant is a research and data platform for financial and investment analysis. We aggregate publicly available datasets, including SEC filings and macroeconomic data, and pair them with practical analysis tools. From a filing viewer and data discovery to reproducible notebooks and regression analysis, OpenQuant helps turn raw information into clear, testable insights.
Change log
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2025-11-14
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Added Data download tab. Filing data updated to 2025-11-14. Bug fix (e.g., NVDA Network segment data is in). SQL demo updated accordingly.
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Fundamental drop-down lists are all searchable. SQL and Company table visualization is more Excel-like: sort, filter, resize.
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2025-11-10
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Expand coverage to ~1000 stocks. Filing data updated to 2025-11-07. Bug fix.
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A blog to show-case how to do simple financial calc, including trailing 12mo, using the data here.
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Added a demo to show how to go from GAAP to non-GAAP to compute Pinterest Adjusted EBITDA based on the adjustment shown in its 2025Q3 MD&A. Simple query updated in SQL Studio and more elaborated code and explanation in Python Lab, see file "2_funda_ebitda_rep.ipynb". For "Python Lab", you can right-click on a file to download it (can also drag-and-drop a file into it but this is on your browser cache so not a great place to persist file).
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2025-11-06
- A simple RSS news feed aggregator poc (6 sources). RSS may not cover all news on a website, which is out of OFS control.
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2025-11-04
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Fundamental tab in Company webpage is up now, and enables multi-filing time-series analysis, based on fiscal-to-calendar and CQ-to-Q standardization & inference. Data item covers statement+segment+note, including company-specific items (1000+ for a complex filing like DUK). This mounts to million-level quarterly data points for 2022-202510, well beyond Yahoo Finance's item coverage.
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This fundamental data is also available in SQL Studio, see demo query there. If your browser can't find it, it could be a cache issue, please press the "Clear Cache" button.
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SQL Studio now supports sec corp filing ref data (10-K/Q, 8-K, 20-F, 40-F) for 2022-202510, and sec all filing (corp, person, fund/trust) ref data for 2025 only as poc. Demo query updated.
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Filing tab in Company webpage supports all-XBRL extracted data + raw filing for ~500 stocks, as a starting point for quantamental workflow.
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Front-end improvement: expand Service Worker and OPFS cache usage. Added clear-cache button to actively manage cache. If you can't access certain new file, or suspect content is stale, please clear cache.
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2025-10-20
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SQL Studio: poc for new sec ref data.
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Front-end improvement: better handling of data file cache, SEO-friendly minor change.
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2025-10-18
- A blog to explain why cooking oil gets caught up in US-China trade tension and its relation with clean energy.
Tools
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SQL Studio: low-code query equity+macro data in-browser (DuckDB SQL).
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Company: filing-driven fundamental analysis (based on FASB XBRL standardized accounting data) and stock price chart.
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Industry: industry-specific datasets.
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Geospatial: a bit of geo flavor using maritime data.
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Macro: macro time-series plotting and Fed.
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Python Lab: JupyterLite with a code-less treasury fair value model demo. It runs in your browser, no installation required.
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Blog: notes on the technical and non-technical aspects of OpenQuant.
Data and workflow design viewpoint
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Human + LLM ready: We prepare data so it’s consistently usable by people and large language models alike.
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Structured + unstructured: We combine structured and unstructured sources, take into account time dimension, and derive insights from it.
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Quantamental by design: Built to support both discretionary and systematic workflows.
Disclaimer
See About.