Algo Grande Identifies 32 High-Priority Exploration Targets at Adelita and Commences High-Definition Ground Magnetic Survey and Appointment of Joao Rocha, Vice President of Exploration

About this update from Algo Grande Copper Corp.

Vancouver, British Columbia - Algo Grande Copper Corp. (TSXV: ALGR) (OTC: KNDYF) (FSE: KM00) (formerly Kenadyr Metals Corp. ) ('Algo Grande' or 'the Company'), reports the completion of a comprehensive reprocessing and reinterpretation of historical geophysical and geochemical datasets at its 100%-owned Adelita Project in Sonora, Mexico . The work confirms Adelita as a district-scale, structurally controlled porphyry-skarn mineral system with evidence for one or multiple porphyry intrusions at depth and has resulted in the identification of 32 high-priority copper-gold-silver exploration targets, including 14 targets generated through machine-learning-based prospectivity analysis. In parallel, the Company has commenced a high-definition ground magnetic survey over the high-grade Cerro Grande skarn zone and extension zones, designed to further refine skarn geometry, structural controls, and drill targeting. The integrated study was completed by independent consultants GSM Geoscience Pty Ltd. and Southern Geoscience (SGC), both internationally recognized geophysical firms specializing in advanced data processing, 3D inversion, and integrated interpretation to support mineral exploration and drill targeting. Integrated Geophysical Results and Target Definition Confirmation of Adelita as a district-scale, structurally controlled porphyry-skarn mineral system with potential porphyry intrusions at depth, supported by integrated 3D reprocessing of magnetic, IP, MT, VTEM and geochemical, and structural datasets Identification of 32 high-priority copper-gold-silver exploration targets, including: 18 integrated targets defined by coincident geophysical anomalies, geochemistry, structural interpretation, and historical drilling 14 machine-learning-generated targets identified through AI-based prospectivity modeling, including targets outside existing geophysical coverage Recognition of deep, vertically extensive conductive feeder structures linking interpreted porphyry intrusions to overlying magnetite-rich skarn mineralization Definition of multiple drill-ready targets, including AD01, AD08, and AD18, each exhibiting strong multi-dataset convergence Evidence for significant expansion potential beyond the central Cerro Grande skarn zone into Mezquital , Cerro Potrero , and Las Tablas Commencement of a high-definition ground magnetic survey over the Cerro Grande skarn zone intended to refine skarn geometry and structural controls Advancement of a modern 3D geological and geophysical models, enabling capital-efficient exploration and systematic drill targeting Appointment of Vice President of Exploration Algo Grande also announces the appointment of Joao Rocha (EurGeol) as Vice President of Exploration, where he is leading the Company's integrated geophysical reprocessing, AI-based target generation, and ongoing field programs at the Adelita Project . Mr. Rocha is an exploration geologist with 10 years of international experience advancing early-stage mineral exploration projects across North America , South America , Africa , Scandinavia, and Europe through disciplined, data-driven exploration. Mr. Rocha holds a European Geologist (EurGeol) title, a Master's degree in Geology, and is a member of the Portuguese Association of Geologists and the Society of Economic Geologists . Enrico Gay , CEO of Algo Grande Copper Corp. , commented: 'Joao has been instrumental in combining modern exploration technologies with disciplined field execution and deep project knowledge from the Cascabel team. He was pivotal throughout the acquisition process and is a key contributor to the buildout of Algo Grande Copper as we advance Adelita.' Commenting on his appointment, Mr. Rocha stated: 'I am honored to join Algo Grande Copper Corp. as Vice President of Exploration at a pivotal time for global critical minerals. The Adelita Project represents a high-quality copper-gold-silver skarn-porphyry system aligned with long-term fundamentals. The integration of modern 3D geophysical reprocessing, AI-based target generation, and a high-definition ground magnetic survey at Cerro Grande provides a strong technical framework to accelerate discovery and de-risk the project. When combined with geochemistry, trenching, and oriented core drilling, this data will significantly improve our ability to predict additional high-grade skarn zones along strike and at depth. I look forward to advancing Adelita through disciplined, data-driven exploration.' Geophysical Reprocessing and Interpretation The reprocessing program included modern 3D magnetic vector inversion (MVI and QMVI), 3D DCIP inversion, and magnetotelluric (MT) modeling, integrated with normalized geochemical datasets and updated structural interpretations. The results define a coherent mineral system characterized by: Resistive intrusive bodies interpreted as porphyry centers Magnetite-rich skarn horizons associated with high-grade copper-gold-silver mineralization Deep, vertically extensive conductive corridors interpreted as feeder structures linking the porphyry source to overlying skarn mineralization These feeder zones are consistently observed across multiple MT profiles and are interpreted to play a key role in the emplacement of mineralization throughout the Adelita system. Geophysical IP and VTEM Reprocessing and Interpretation by Southern Geoscience The reprocessing of historical data by Southern Geoscience had the objective of reprocessing and interpreting the IP, VTEM and Magnetic historical datasets on a license-wide scale, bringing the data into modern technology standards, validating historical interpretations, and generating new targets and concepts. This work included: IP data processing and 3D modelling Use of SGC proprietary IP processing software QAQC all data Prepare and model data with RES3DINV Enhance VTEM and Magnetic Data Processing Gridding of magnetic data Grid filtering of TMI, to RTP Image processing and enhancement of EM Image processing enhancement of TMI The highlights of this work, include: The largest and most resistive body sits beneath existing drilling under the Cerro Grande Skarn discovery zone. The main resistive bodies have anomalous magnetic signatures adjacent to them. Chargeability results highlight a 4x background value anomaly in the northern part of the survey. Chargeability anomalies in the property have not been drill tested These targets represent immediate opportunities for model validation. These are planned to be field tested in the first months of 2026 and drill tested if merit is verified. This work has been completed in partnership with GSM Geoscience. High-Definition Ground Magnetic Survey Algo Grande has commenced a high-definition ground magnetic survey over the high-grade Cerro Grande skarn zone at the Adelita Project . The survey is being conducted by the University of Sonora , through its Department of Geology , leveraging its regional expertise and academic specialization in applied geophysics. The survey utilizes high-precision Overhauser magnetometer technology (GEM GSM-19) to acquire total field magnetic data across the target area. Data are being collected along closely spaced east-west oriented survey lines at approximately 20-metre spacing, providing substantially higher resolution than historical airborne magnetic data. The program is designed to: Delineate the geometry and continuity of magnetite-rich skarn bodies Improve definition of faults and structural corridors controlling mineralization Identify subtle magnetic responses associated with buried intrusions and feeder zones Survey data will be processed and interpreted using specialized geophysical software, with results fully integrated into the Company's existing 3D geological and geophysical model, alongside reprocessed IP, MT, and magnetic datasets, to support ongoing and future drilling programs. Exploration Implications and Next Steps The results of the geophysical reprocessing, AI-based prospectivity analysis, and commencement of high-definition ground magnetic surveying materially enhance the Company's understanding of the scale, architecture, and controls of mineralization at the Adelita Project . Algo Grande is now in the process of integrating multiple high-quality datasets to build a robust geological thesis for the system. This integrated approach combines: Reprocessed 3D magnetic, IP, and MT datasets Results from the current drill program, representing the first use of oriented core drilling at Adelita Ongoing surface mapping, sampling and upcoming trenching program Geochemical data from soil and rock sampling programs Together, these datasets are being incorporated into an evolving 3D geological and structural model to improve understanding of skarn geometry, continuity, and controls on mineralization. The objective is to systematically reduce geological uncertainty and generate well-constrained, de-risked drill targets. About Algo Grande Copper Corp. Algo Grande Copper Corp. is a growth-focused mineral exploration company advancing the Adelita Project - a district-scale, multi-system copper-gold-silver opportunity positioned in the prolific Arizona - Sonora copper belt. The company is dedicated to unlocking the full mineral potential of this under-explored corridor through disciplined data-driven exploration, technical excellence, and a firm commitment to value creation for shareholders. The 5,895-hectare Adelita Project is anchored by the high-grade Cerro Grande Cu-Au-Ag skarn discovery, which exhibits strong continuity along a defined corridor extending over 6 kilometers. Reprocessing of legacy geophysical data and field mapping indicate the presence of a potential porphyry system at depth, suggesting a classic skarn-porphyry mineralization model similar to major deposits found throughout northwestern Mexico . Contact: Enrico Gay Email: [email protected] Web: www.algo-grande.com Cautionary Statement on Forward-Looking Information This news release contains statements and information that, to the extent that they are not historical fact, constitute 'forward-looking information' within the meaning of applicable securities legislation. Forward-looking information is based on the reasonable assumptions, estimates, analysis and opinions of management made in light of its experience and its perception of trends, current conditions and expected developments, as well as other factors that management believes to be relevant and reasonable in the circumstances at the date that such statements are made, but which may prove to be incorrect. Forward-looking information involves known and unknown risks, uncertainties and other factors that may cause the actual results, performance or achievements of the Algo Grande to differ materially from any future results, performance or achievements expressed or implied by the forward-looking information, including, but not limited to, statements relating to the proposed use of proceeds of the Financing, the registration of title to the Concessions, business development, results of operations, and those listed in filings made by Algo Grande with the Canadian securities regulatory authorities (which may be viewed at www.sedarplus.ca). Accordingly, readers should not place undue reliance on any such forward-looking information. Further, any forward-looking statement speaks only as of the date on which such statement is made. New factors emerge from time to time, and it is not possible for Algo Grande's management to predict all of such factors and to assess in advance the impact of each such factor on Algo Grande's business or the extent to which any factor, or combination of factors, may cause actual results to differ materially from those contained in any forward- looking statements. Algo Grande does not undertake any obligation to update any forward-looking information to reflect information, events, results, circumstances or otherwise after the date hereof or to reflect the occurrence of unanticipated events, except as required by law including securities laws. (C) 2026 Electronic News Publishing, source ENP Newswire

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