💬 Mining investors: Are you tracking these two junior explorers? $KLDC $KLKLF $ALGR $KNDYF
Kirkland Lake Discoveries Announces Upgrade to OTCQB Market
Toronto, Ontario–(Newsfile Corp. – March 20, 2026) – $Kirkland Lake Discoveries Corp(WARGF)$ is pleased to announce that its common shares have been approved for trading on the OTCQB® Venture Market (“OTCQB”), upgraded from the OTCID market.
The Company’s shares will begin trading on the OTCQB at market open today under the symbol KLKLF. The common shares will continue to trade on the TSX Venture Exchange (TSXV) under the symbol KLDC.
The OTCQB is a recognized senior public market by the U.S. Securities and Exchange Commission (SEC), designed for developing and entrepreneurial companies. The upgrade to OTCQB provides several key benefits to the Company’s growing U.S. shareholder base, including:
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Trading Convenience: U.S. investors can now trade KLKLF shares in U.S. dollars (USD) during U.S. market hours through online or full-service brokerages.
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Real-Time Transparency: Investors gain access to real-time Level 2 quotes, enabling improved price discovery and market depth compared to the previous OTCID listing.
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Brokerage Compatibility: As an SEC-recognized “senior public market,” the OTCQB typically removes restrictions and additional fees often imposed by brokerages on lower-tier markets, facilitating broader brokerage research coverage.
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DTC Eligibility: Enables electronic clearing and settlement, significantly reducing the time and costs associated with trading Canadian-listed securities in the U.S.
Stefan Sklepowicz, CEO of Kirkland Lake Discoveries, stated: “Our upgrade to the OTCQB is all about bridging the gap for our U.S. investors. As we ramp up exploration at the KL West Project and integrate the Mirado Gold Project into our portfolio, meeting the OTCQB’s stringent financial reporting and corporate governance standards delivers improved transparency for U.S. investors.”
The uplist follows a series of recent milestones, including the successful acquisition of the Mirado Gold Project earlier this month and the launch of a 25,000-meter drill program.
Algo Grande Launches Geophysical and Geochemical Programs Ahead of Q2 2026 Phase 2 Drilling
Vancouver, BC / ACCESS Newswire / March 19, 2026 / Algo Grande Copper Corp. $Algo Grande Copper Corp.(KNDYF)$announces the initiation of advanced surface and geophysical programs at its 100% owned Adelita Project in Sonora, Mexico. The programs are designed to refine and prioritize drill targets ahead of the Company’s Phase 2 drilling campaign scheduled to start in Q2 2026.
The comprehensive exploration activities include:
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High-resolution LiDAR survey (covering the entire claim area)
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Drone-based magnetic survey
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Systematic soil geochemical sampling program
These initiatives involve high-resolution LiDAR to refine structural interpretation and identify subtle topographic and alteration features; drone-based magnetics to map intrusive contacts and magnetite-rich skarn bodies; and systematic soil geochemical sampling over newly identified zones within the Cerro Grande target area. Integration of these datasets is expected to significantly enhance drill target selection and expand the known mineralization footprint at the district-scale Adelita property.
Enrico Gay, CEO of Algo Grande, commented: “Following the success of our inaugural drill program, we are now focused on systematically scaling the Adelita mineralizing system. Drone magnetics are particularly critical, allowing us to map the magnetite-rich skarn horizon along strike and target extensions beyond the currently defined 300-meter Cerro Grande mineralized zone. Similarly, LiDAR is essential in what we interpret to be a structurally controlled mineralizing system, as it will enhance our ability to identify and trace key structures that control mineralization. By combining these datasets, we will be able to define high-confidence drill targets as we advance toward our Phase 2 drilling program in Q2 2026.”
The resulting structural, geophysical, and geochemical datasets will be integrated into the Company’s 3D geological and machine learning target prediction models to optimize drill hole placement and maximize discovery potential.
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