Hydrogen Exploration Stock Max Power (CSE: MAXX) (OTC: MAXXF) Announces Resource Venture Capitalist Andy Bowering Becomes Special Advisor Investorideas.com (www.investorideas.com Newswire) VANCOUVER, British Columbia, Nov. 20, 2025- MAX Power Mining Corp. (CSE: MAXX; OTC: MAXXF; FRANKFURT: 89N) is pleased to announce that veteran venture capitalist Andrew (“Andy”) Bowering has become a Special Advisor to MAX Power, joining its very active Advisory Board as MAX Power takes additional steps to build a gl ...

PresentationUnknown Executive Okay. Ladies and gentlemen, good morning, and welcome to the 26th Discovery Limited Annual General Meeting. Proxies and representation representing 84% of the issued share capital of the company have now been received. Given that more than 3 members are present, we have a quorum. I therefore declare this meeting duly constituted. I declare this meeting open as the notice convening the meeting has been in your hands for the prescribed period since the 22nd of October 2025. I fur ...

BitcoinTreasuries.net, the source for institutional and corporate Bitcoin holdings and real-time adoption data, is pleased to announce a partnership with Secure Digital Markets, an institutional trading platform specializing in high-liquidity execution for Bitcoin and digital assets.As institutional Bitcoin adoption increases, SDM reportedly stands out for its liquidity access, infrastructure, and “execution services tailored to corporate and institutional clients.”This partnership aligns BitcoinTreasuries. ...

长期以来，艺术品市场一直受到真伪问题的困扰。收藏家、画廊和博物馆通常会为艺术品投保，以防盗窃、火灾或洪水，但要为"归属错误"或"赝品"上保 险，几乎是不可能的。艺术品鉴定的固有主观性，使其成为了保险业难以触及的领域。 然而，这一局面可能即将被打破。近日，一家在伦敦和纽约设有办事处的科学艺术分析公司 ArtDiscovery 宣布，推出了其所称的"全球首个承保艺术品真 伪的保证"。这一创新产品旨在为艺术市场最大的"盲点"提供一个可量化的解决方案。 以"证据"取代"信念" 艺术品鉴定行业历来以其"模糊"和"依赖观点"而闻名。鉴定结论往往依赖于少数专家的"法眼"（即鉴赏力）和出处研究，这不仅容易引发争议，还常常导 致价值数百万美元的法律诉讼，尤其是在收藏家被告知其藏品非真品时。 ArtDiscovery 公司的首席执行官丹尼斯·莫伊塞夫 (Denis Moiseev) 在接受《ARTnews》采访时指出，传统市场"依赖于卖方提供的'保证'，没有任何第三方 担保。如果出现问题，你要么依赖卖方的善意退还现金，要么诉诸法律——但收效甚微。" 德斯韦特告诉《ARTnews》："对于艺术金融行业来说，这种类型的保证是一个彻底 ...

Core Insights - Talos has appointed Drew Forman as SVP and Head of Strategy to lead company initiatives in market expansion, product development, and corporate matters, enhancing its role in the institutional digital assets ecosystem [1][2] Company Developments - Forman previously led Cowen Digital, where he launched a full-service institutional digital assets platform, and has extensive experience in derivatives trading from firms like Nomura and J.P. Morgan [2] - Talos has seen significant growth in traditional institutions entering the digital assets space, with Forman's experience expected to help guide the company's next growth phase [2] - The company has onboarded clients managing approximately $21 trillion in assets and hedge funds with over $100 billion in AUM, alongside retail brokers enabling over 100 million end users to trade digital assets [2] Strategic Initiatives - Forman's responsibilities include overseeing business strategy, exploring growth opportunities, and ensuring Talos's platform remains a trusted infrastructure for financial institutions [2] - Recent milestones include integrating Talos's order and execution management system with BlackRock's Aladdin platform and acquiring firms like Coin Metrics and Cloudwall to enhance its institutional-grade platform [2][3] Technology and Infrastructure - The Talos platform connects institutions to various providers in the digital asset ecosystem, including exchanges and custodians, through a unified interface [3]

Core Insights - The article discusses the introduction of the Reac-Discovery semi-autonomous digital platform by the research team from IMDEA Materials Institute in Spain, which addresses the lack of a unified model for geometric parameters in reactor design, enhancing the speed and precision of catalytic reactor development [1][2]. Group 1: Platform Overview - Reac-Discovery integrates design, manufacturing, and optimization modules in a closed-loop system, allowing for parallel evaluation of multiple reactors while incorporating real-time NMR monitoring and machine learning for process optimization [2][6]. - The platform utilizes periodic open pore structures (POCs) to improve performance, reaction efficiency, and material consumption, while enhancing system versatility [2][6]. Group 2: Research Highlights - The integration of mathematical modeling, machine learning, and automated experimental systems allows for a comprehensive approach to catalytic reactor design, from geometric design to experimental optimization [3]. - The platform incorporates topological parameters into the optimization space, overcoming the limitations of traditional methods that focus on single variables like temperature and flow rate [3]. - A neural network-based performance prediction model has been developed, significantly improving experimental efficiency and resource utilization through rapid evaluation iterations [3]. Group 3: Data Generation and Modules - The research team generated an internal multidimensional dataset during experiments, covering geometric structures, printability, and reaction performance, without relying on external datasets [3][4]. - The Reac-Discovery platform consists of three functional modules: Reac-Gen for geometric modeling, Reac-Fab for manufacturing, and Reac-Eval for experimental validation and optimization [6][12]. Group 4: Experimental Validation - The platform's effectiveness was validated through two typical multiphase catalytic reactions: the hydrogenation of phenylacetone and CO₂ cycloaddition, demonstrating robustness, stability, and repeatability in self-optimization and topological reconstruction [15][20]. - In the phenylacetone hydrogenation experiments, the platform successfully identified optimal process conditions from over one million parameter combinations, significantly reducing experimental exploration costs [16][20]. Group 5: Industry Implications - The rapid integration of artificial intelligence in flow chemistry and reactor engineering is establishing self-driving laboratories as a new paradigm in chemical research, enhancing precision, efficiency, and scalability in reaction processes [22][23]. - The potential for self-driving laboratories to replace certain research roles while creating new opportunities highlights the transformative impact of automated systems in scientific exploration [23].

Core Insights - Liquidity integrations are essential for the success and performance of OTC crypto exchanges, enabling seamless order execution and stable pricing [2][26] - High liquidity is crucial for efficient trading, leading to instant trade execution, tighter bid-ask spreads, reduced volatility, and improved market confidence [4][11] Understanding Liquidity - Liquidity measures the ease of buying or selling assets without significant price changes, with high liquidity translating to better trading conditions [3] - Insufficient liquidity can lead to delays, poor price discovery, and user frustration [3] Importance of Liquidity in OTC Crypto Exchange Development - In OTC trading, liquidity is essential for executing large-volume transactions privately [7] - Integrating multiple liquidity sources ensures reliability and consistency, attracting institutional clients [8] Enhancements from Liquidity Integrations - Instant order execution is achieved through API aggregation, smart order routing, and cross-exchange connectivity [10] - Balanced price discovery is facilitated by aggregating price data from multiple sources, reducing arbitrage gaps [13] - Increased trading volume results from a liquid market attracting more traders, creating a self-sustaining cycle [14] - Enhanced platform credibility is established through consistent liquidity, which signals professionalism [15] - Market stability during volatility is improved, reducing drastic price swings and building user trust [16] Strategic Ways to Integrate Liquidity - Partnering with reliable liquidity providers ensures steady access to trading pairs [17] - Utilizing hybrid liquidity models combines centralized and decentralized sources for flexibility [18] - Implementing smart order routing enhances execution efficiency [19] - Enabling market-making mechanisms keeps the order book active [20] - Leveraging APIs for real-time updates improves trade accuracy [21] Emerging Innovations in Liquidity Integration - Innovations such as cross-chain liquidity bridges and AI-powered aggregation are shaping the future of crypto exchanges [22][27] Best Practices for Sustainable Liquidity Growth - Maintaining multi-provider partnerships and offering incentives for liquidity providers are key practices [28] - Regular audits and regulatory compliance are essential for ensuring fairness and security [28]

Core Insights - Retail media networks (RMNs) are experiencing a slowdown in growth as sponsored search becomes saturated and consumer packaged goods (CPG) advertisers reevaluate their investment strategies [1] - To achieve revenue targets, RMN leaders must explore new media inventory types and innovative ways to monetize shopper relationships, potentially looking beyond traditional in-store methods [1][2] Group 1: Experiential Marketing Opportunities - Experiential marketing is a significant spending category, valued at over $128.3 billion globally, with a 10.5% increase from the previous year [3] - Retailers have a unique advantage in experiential marketing, as they can target specific shoppers and measure the direct impact on in-store sales, unlike traditional sponsorships that focus on brand awareness [4] - New retail data capabilities allow RMNs to target specific shoppers more effectively, bridging the gap between experiential marketing budgets and retail media investments [5][9] Group 2: Targeting and Measurement Innovations - RMNs can now apply precise targeting to reach shoppers during relevant moments outside the store, akin to off-site digital media strategies [6] - Hyper-contextual targeting enables RMNs to connect with specific consumer segments in trusted environments, enhancing the likelihood of product trials [7][8] - Measurement capabilities are evolving, allowing RMNs to demonstrate the return on investment (ROI) of experiential campaigns by linking them to actual sales data [12][14] Group 3: Case Studies and Practical Applications - Dollar General's partnership with Recess exemplifies the effective use of targeted brand experiences, reaching over 90 million shoppers in their communities [10] - The collaboration allows for authentic product trials in natural settings, driving measurable in-store sales from out-of-store activations [11][12] - A case study of an OTC brand illustrates the effectiveness of multi-channel programs, achieving a $7.28 incremental return on advertising spend (iROAS) and a 5.8% sales lift over 26 weeks [15] Group 4: Strategic Implications for RMNs - With enhanced targeting and measurement capabilities, RMNs can access previously unreachable brand budgets, transforming experiential marketing from a cost center to a revenue driver [16] - As CPG brands face increased scrutiny over advertising expenditures, RMNs that integrate retail media with experiential marketing become essential growth partners, offering comprehensive solutions from brand discovery to sales [17]

Group 1: Economic Analysis of GDP - The article discusses the complexities of calculating GDP, highlighting three different approaches: income, expenditures, and value-added [3][4] - The expenditures approach indicates that healthcare constitutes 17% of GDP, while the value-added approach shows only 8%, due to differing categorizations of spending [4] - The value-added approach is deemed more suitable for measuring manufacturing's share of the economy, as it separates each step in the economic chain [5] Group 2: AI Investment Trends - The discussion draws parallels between past capital spending in telecom during the 1990s and current AI investments, suggesting that excessive capital is being diverted from other sectors [6][8] - Large private equity firms are incentivized to invest heavily in data centers, which may starve small manufacturers of necessary capital [8] - Major tech companies are reportedly spending up to 50% of their income on capital expenditures related to AI, a level of investment that is unprecedented and raises concerns about long-term sustainability [11] Group 3: Financing Structures in Tech - The emergence of special purpose vehicles (SPVs) is noted as a trend among large tech firms to manage capital expenditures without impacting their balance sheets [12] - This shift towards more opaque financing structures may indicate a growing concern among investors regarding the sustainability of current spending levels [12] Group 4: Economic Development and Geography - The article explores the relationship between geography, specifically altitude and temperature, and economic development, arguing that warmer countries tend to be poorer due to higher transportation costs and less trade [13][16] - The concept of "Balkanization" is introduced, explaining how mountainous regions lead to conflict and hinder regional integration, further contributing to economic challenges [16][17] Group 5: Media Influence on Investment Perception - The framing of news articles can significantly influence public perception of markets and investment opportunities, as seen in the coverage of pension funds and private credit [18][19] - The article emphasizes the importance of balanced reporting to avoid skewed perceptions that could lead to poor investment decisions [20] Group 6: Investment Case Study - Bryan Steam Corporation (BSC) is presented as a case study of a company with modest growth and profitability that ultimately provided significant returns to investors over time [21][24] - The company’s financial metrics, such as revenue growth from $16.4 million in 1993 to $26.2 million in 1998, demonstrate the potential for long-term investment success despite initial perceptions of risk [24][25]

Core Insights - The partnership between OTCX and BlackRock's Aladdin represents a significant advancement in the digital transformation of OTC derivatives trading, aiming to enhance automation and transparency throughout the trade lifecycle [3][5]. Group 1: Partnership Overview - OTCX has entered a multi-year partnership with Aladdin, BlackRock's technology platform, to digitize dealer-to-client "voice" trading, moving away from manual workflows to more efficient electronic solutions [1][2]. - The integration will provide buy-side and sell-side participants with streamlined tools for price discovery, order execution, and post-trade management, reducing reliance on traditional communication methods [2][4]. Group 2: Workflow Modernization - The integration will offer Aladdin clients comprehensive end-to-end workflow support, covering price discovery, request-for-market, execution, and post-trade processing, thereby improving operational efficiency and cost-effectiveness for institutions [4][6]. - OTCX aims to provide market participants with more choices, lower costs, and efficient workflows in a historically complex and fragmented market [5]. Group 3: Operational Efficiency - By connecting to Aladdin, OTCX enables institutional traders to compare quotes, manage risk, and execute trades in a regulated environment, enhancing visibility into pricing and liquidity [6][8]. - The initiative addresses inefficiencies caused by manual, voice-based interactions, which have historically limited transparency and increased the risk of human error in OTC derivatives trading [7][8].