Methodology
OreQuant uses publicly available information and proprietary internal models to produce systematic mining-equity coverage. This page explains the principles behind that process without disclosing the full internal playbook.
What OreQuant publishes
OreQuant publishes structured coverage of gold and silver mining equities. Public content is designed to help readers understand a company's position, recent context, and overall quality profile at a given point in time.
We do not publish buy or sell recommendations. We do not publish price targets. We do not publish promotional research on behalf of issuers or investors with positions in covered securities.
How coverage is produced
OreQuant collects and organizes publicly available information relevant to mining companies and the broader precious-metals sector. That information is evaluated through proprietary internal models and internal editorial controls before any public or subscriber-facing output is published.
We describe the governing principles of the process publicly, but we do not publish the full internal workflow, source-mapping logic, scoring construction, or implementation details. Those elements are proprietary.
Public information and proprietary models
OreQuant relies on publicly available information and other lawfully used research inputs. Those inputs are not simply displayed raw; they are organized, interpreted, and weighted through proprietary internal models developed by OreQuant.
Public pages do not disclose the full set of research inputs, the exact structure of internal models, or the internal rules used to transform raw information into scores, rankings, or research outputs.
Use of automation
OreQuant uses automation as part of its research and publishing process. Automation helps standardize formatting, consistency, and presentation, but it does not change the platform's core editorial position: no hype, no recommendations, and no disclosure of proprietary internal methods.
Quality grades and research outputs
OreQuant may assign high-level grades, rankings, or other research outputs to covered companies. These are derived from proprietary internal models informed by publicly available information.
Public-facing materials may disclose selected high-level outputs, but the full model construction, component weighting, and detailed internal calculations are proprietary and not disclosed publicly.
What OreQuant will not disclose publicly
- The full internal research workflow or pipeline sequence
- Detailed source-mapping rules or exact internal data-handling methods
- Model construction, component weighting, or proprietary scoring logic
- Internal controls intended to separate public information from subscriber-only or proprietary outputs
- Operational detail that would materially reveal OreQuant's playbook
Editorial and compliance principles
OreQuant's public content is governed by internal editorial standards intended to keep coverage factual, restrained, and non-promotional. Missing information should be acknowledged rather than invented. Forward-looking claims, recommendations, and unsupported promotional framing are outside OreQuant's public editorial scope.
Additional public guidance is available on our Editorial Standards page.
Corrections and updates
OreQuant updates public content when it determines that underlying information has changed enough to justify a revision. If a factual error is identified, it may be corrected through OreQuant's editorial and data-maintenance process.
If you believe a public article contains a factual error, contact contact@orequant.com with the URL and the specific claim.
Not investment advice
OreQuant is not a registered investment advisor. Nothing published on this site is investment advice. Mining equities carry substantial risk, including the risk of total loss of capital. Consult a licensed financial professional before making investment decisions.
Contact
Editorial: contact@orequant.com
Trading name: OreQuant (OreQuant.com)