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We do not publish buy or sell recommendations. We do not publish price targets. We do not publish promotional research on behalf of issuers or investors with positions in covered securities.

OreQuant is built around a simple principle: use publicly available information as the raw material, apply internal research discipline consistently, and present the output in a format that is useful without becoming promotional or speculative.

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We describe the governing principles of the process publicly, but we do not publish the full internal workflow, source-mapping logic, scoring construction, or implementation details.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.

Public pages disclose when automation is part of the publishing process, but they do not disclose the internal mechanics, vendor choices, or implementation structure behind that process.

Quality grades and research outputs

Every company OreQuant covers carries a quality grade — a single relative classification that summarizes how a company scores across operational, financial, and asset-quality dimensions. It is the most visible public output of the research process and appears on company pages and throughout published coverage.

Grades use a letter scale led by A, with finer gradations marked by a plus or minus (for example A, A-, B+). Read a grade as a relative ranking, not an absolute score:

Higher grades (A range) — established producers with operational maturity, financial discipline, and a reserve or resource base positioned to sustain output. These companies tend to carry lower execution risk.
Middle grades (B range) — solid companies that are typically smaller, earlier in their operating life, or carrying more concentrated exposure than the top tier.
Lower grades — earlier-stage, single-asset, or higher-variance companies where execution, financing, or jurisdictional risk weighs more heavily.

A grade is a starting point for research, not a recommendation, and it can change as the underlying public information changes. The grade letter is public; the component scores, their weighting, and the model that produces them are proprietary and described only in general terms above. Subscribers see the deeper signal layers behind the grade — individual layer scores, valuation work, and ongoing monitoring — which are not part of public coverage.

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)