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Luda Technology Group LtdBullish
Luda Technology Group has officially entered the Mongolia-China coal trading business as part of its long-term commodity trading strategy. The company signed agreements to supply a total of 440,000 metric tons of thermal coal to two customers in China over one year, supported by a supply agreement with a Mongolian partner. This move marks the company's initial step toward building a broader commodity trading platform covering energy, metals, and minerals.…more
Luda Technology Group Ltd
Luda Technology Group has signed a non-binding MOU with Chuluut-International to evaluate the acquisition of 100% of the mining rights for the Jonsh Tolgoi fluorspar project in Mongolia. The proposed consideration is approximately $14 million, as the company seeks to expand its business from metal manufacturing into advanced materials and data center infrastructure. The MOU is non-binding, and there is no assurance that a definitive agreement will be signed or the transaction will be completed.…more
Luda Technology Group Ltd
Luda Technology Group Limited announced the resignation of its Chief Financial Officer, Mr. Yung Chi Man, effective October 5, 2026. Simultaneously, the Board appointed Ms. Liu Liangping, the former Chief Operating Officer, as the new Chief Financial Officer, effective immediately.…more
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Luda Technology Enters Mongolia-China Coal Trading Market
Luda Technology has launched a coal trading business between Mongolia and China as part of its long-term commodity strategy. However, the contracts lack fixed pricing, and the company's broader expansion plans remain in the early stages with no guaranteed financial impact.…more
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Luda Technology has entered into a non-binding MOU to evaluate the acquisition of the Jonsh Tolgoi fluorspar project for $14 million in cash. The deal remains subject to due diligence and regulatory approvals, with no guarantee that a definitive agreement will be reached.…more
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Luda Technology has implemented an AI-enabled inquiry and quotation system, reducing processing time from 30 minutes to 3 minutes. This initiative aims to enhance operational efficiency and serves as a foundation for broader AI infrastructure scaling.…more
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