Bitmine Immersion Technologies, Inc. ( BMNR ) is down 43% lower since my last coverage due to weakness in the broader crypto market. Ethereum ( ETH-USD ) is down, Bitcoin ( BTC-USDHi, I'm Yiannis. Spotting winners before they break out is what I do best.Experience: Previously worked at Deloitte and KPMG in external/internal auditing and consulting. Education: Chartered Certified Accountant, Fellow Member of ACCA Global, with BSc and MSc degrees from U.K. business schools. Investment Style: Spotting high-pot ...

Bitmine Immersion Technologies has secured shareholder approval to increase authorized shares, giving the firm flexibility to raise capital. But with the stock down and ether sliding, are investors worried about dilution? CoinDesk's Jennifer Sanasie hosts "CoinDesk Daily." ...

Vancouver, British Columbia--(Newsfile Corp. - January 20, 2026) - LQWD Technologies Corp. (TSXV: LQWD) (OTCQX: LQWDF) ("LQWD" or the "Company") is pleased to announce that it has closed its previously announced non-brokered private placement financing of C$2,000,000 (the "Private Placement").Under the Private Placement, the Company issued an aggregate of 2,000,000 units of the Company ("Units") at a price of C$1.00 per Unit to raise gross proceeds of C$2,000,000. Each Unit consists of one common share of ...

中国债务人借加密货币跨境隐匿财产，令跨境追偿举步维艰，但加密货币取证技术迅猛进化，已成锁定与冻结隐匿资产的核心武器。 在当前经济环境下，许多债务人通过复杂结构将资产转移至境外并转化为比特币等加密货币资产，这使得中国债权人在追索这些资产时面临重大挑战。 然而，随着加密货币犯罪的增多，加密货币取证技术正在全球范围内快速发展，特别是美国政府和私营部门的推动下，这一技术已成为追踪和冻结隐匿数字 资产的关键工具。 典型案例包括：美国司法部（DOJ）与Roger Ver达成5000万美元和解，该案涉及税务欺诈和逃税，赔偿直接用于受害者补偿；另一起涉及柬埔寨高管Chen Zhi的重大欺诈计划，美国司法部扣押约127,271枚比特币（价值约150亿美元），这些资产通过加密货币情报工具识别并追回，凸显了分析技术在映射交易 流和识别犯罪钱包方面的核心作用。 此外，州级举措进一步放大需求。例如，亚利桑那州设立比特币和数字资产储备基金，要求使用加密货币分析防止加密货币自助机欺诈。这些政策产生连锁 效应，激励私营部门开发更先进的工具，以满足公共和私人合规需求。 面对加密犯罪激增，私营部门迅速创新，开发AI驱动的加密货币取证平台。Cha ...

Core Insights - Trust Stamp has introduced a Turnkey Solution to combat violent home invasions targeting cryptocurrency holders, highlighted by a recent $11 million crypto theft in San Francisco [1][2] - The company emphasizes the need for enhanced security measures in the cryptocurrency ecosystem, particularly against physical coercion [2][4] Company Technology - Trust Stamp's StableKey technology integrates a patented quantum-ready embedded-identity algorithm that binds digital assets to their rightful owners, making forced transfers ineffective for criminals [2][3] - This technology applies to various digital assets, including stablecoins, tokenized deposits, CBDCs, NFTs, and other on-chain instruments, ensuring ownership is linked to a biometric marker [3] Industry Implications - The crypto industry has primarily focused on securing keys rather than protecting individuals, which presents significant risks as stablecoins become more prevalent [4] - Trust Stamp's solution aims to transform digital assets into privacy-protected instruments, addressing the urgent need for security measures that protect users from coercive attacks [4]

Core Insights - Trust Stamp Inc is advancing biometric technology to enhance security for stablecoins and digital assets, addressing the issue of lost access to crypto assets due to forgotten passwords or seed phrases [1][2][7] Company Technology - The company has developed a "stable key" technology that binds identity to tokenized assets using a privacy-preserving biometric template, which is a significant improvement over traditional methods [1][5][6] - Trust Stamp's technology allows for the regeneration of lost seed phrases by linking them to biometric data and devices, thus ensuring that only authorized users can access their funds [7] Industry Context - The stablecoin market is facing regulatory scrutiny, with new regulations expected to enhance consumer protection and compliance, particularly in light of the Genius Act and the Stable Act [4][8] - Trust Stamp's technology aims to integrate compliance measures directly into stablecoin transactions, potentially addressing vulnerabilities in the current system [8] Security Features - The company's approach utilizes zero-knowledge proofs to validate identities without exposing raw data, which is crucial in the context of increasing cybersecurity threats, including those posed by quantum computing [9][10]