Algo Grande Copper Core Testing Shows Mineralized Skarn is Denser and More Chargeable Than Host Rocks; Ground Gravity Survey to Begin at Adelita

Original announcement by orestocks on

Company
Algo Grande Copper Corp.
Ticker
ALGR.V
Exchange
Unavailable
Region
Sonora, Mexico
Primary commodity
Copper
Secondary commodities
Gold, Silver
Document categories
Other, Drill results
Extracted
2026-10-07 21:49:28 UTC

Analysis by Minestarters Atlas

Atlas analysis published:

Minestarters Atlas analysis

Summary

Algo Grande reported petrophysical testing results showing mineralized skarn at Cerro Grande is significantly denser and more chargeable than host rocks. The company is launching a large-scale ground gravity survey on October 22, 2026, to test multiple structural targets along a 7-kilometre corridor. Additionally, drill hole AG-CG-PH2-003 intersected visible copper sulfides in a new skarn target, with assays pending.

Reasoning: The release provides significant geophysical/petrophysical validation for the skarn model and announces a major upcoming survey, alongside a new drill intersection with visible mineralization, though assay results are pending.

Positive factors

  • Petrophysical testing confirms skarn density and chargeability contrast
  • New drill hole (AG-CG-PH2-003) intersected visible copper sulfides at a new target
  • Planned gravity survey will de-risk structural targets along 7km corridor

Negative factors

  • Assays for new skarn intersection are still pending
  • Petrophysical results are based on a small sample set (18 cores)

Facts used in scoring: 1

Classification and evidence

QA/QC Disclosedpositive

Release includes QA/QC disclosure — certified lab, QP sign-off, or stated methods (blanks, standards, duplicates).

Why it applies: The release names a Qualified Person (João Rocha) and a specific laboratory (Zonge International) for the petrophysical testing.

Evidence · text

“reviewed and approved by João Rocha, EurGeol... a Qualified Person”

Nearology Playneutral

Value premise rests on proximity to a known deposit rather than own results.

Why it applies: The company is using geophysical and petrophysical data to target structural intersections along a 7km corridor related to the Cerro Grande discovery.

Evidence · text

“The combined gravity and IP data are designed to test these targets and may identify new ones.”

Extracted facts

Stored fact records: 1. Some facts used in scoring do not have a stored record.

Drill Results (1)

AG-CG-PH2-003Adelita · copperIntercept: 52.1 mNeeds review: ungroundedView all details
Link to this fact

Identity

Hole ID
AG-CG-PH2-003
Project
Adelita
Commodity
copper
Region
mexico
Reported Region
mexico
Ticker
ALGR.V

Geometry

Intercept
52.1 m
From
602 m
To
654.1 m
Intercept Depth
602 m

Classification

Sample Type
drill
Group ID
AG-CG-PH2-003:602-654.1

Location

CRS
WGS84 / UTM Zone 12N

QA/QC

QP Signed
Yes
QA/QC Methods
standards

Review

Needs Review
Yes
Review Reason
ungrounded
Interp. Status
scored
Historical
No

Dates

Event date
2026-10-07T00:00:00.000Z

Reasoning: Intersection of visible copper sulfides in a new target is a positive exploration signal, but lacks assay confirmation.

Positive factors

  • Visible copper sulfides (chalcopyrite, covellite, bornite) logged

Negative factors

  • Assays are pending
  • Visual observations are preliminary

Evidence · text

“intersected fault-hosted skarn... from 602.0 to 654.1 m downhole, including an interval from 624.45 to 634.50 m in which core logging identified visible chalcopyrite, covellite and bornite.”

Tags used in scoring

No QA/QC Disclosurenegative

Release does not disclose QA/QC — lab certification, CP/QP sign-off and assay protocols cannot be checked from this document.

Why it applies: qaqc_disclosed is not true

Cut-off Undisclosednegative

High-grade interval reported without stating the cut-off grade used for compositing.

Why it applies: no cutoff_grade was stated

How Atlas produces this analysis

Minestarters Atlas uses automated extraction to summarize mining announcements, identify reported measurements, and classify supporting evidence. Sentiment reflects the extracted narrative and classification rules; it is an interpretation, not a reported measurement. Evidence quotes and context are provided where available. Missing data, low-confidence results, and review flags indicate limitations. Check the original publisher announcement before relying on an interpretation.