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Date: 28th August 2025. SNP500 Hits New All-Time High, But Is NVIDIA Driving the Rally? The SNP500 quickly declined 0.69% in the minutes after NVIDIA released their Quarterly Earnings Report. However, stocks are now seeing a strong rebound, correcting back upwards and closing close to yesterday’s highs. If the SNP500 can maintain momentum and increase above yesterday’s highs, the index will be trading at its all-time high. Currently, the NASDAQ is the best-performing US index, trading with almost a 2% higher gain. However, the SNP500 performance over the past 15 days has outperformed the NASDAQ due to concerns over the current AI trend. The SNP500’s gains on Wednesday and this morning are mainly being supported by technology stocks such as Microsoft and Broadcom. The energy sector, led by companies like ExxonMobil and Chevron, is also contributing to the rise. NVIDIA Beat Earnings Expectations But Still Declined. Here’s What You Need To Know. When NVIDIA releases its earnings report, the market expects extreme volatility, measuring a minimum of a 5% change in the price of the stock. However, the stock only fell 3.14% after the report was made public. Therefore, traders should note that the lack of volatility indicates that investors are not necessarily disappointed in the earnings figures. SNP500 15-Minute Chart NVIDIA’s Earnings Per Share were $1.05, higher than the previous expectations of $1.00. The company's revenue was also $68 million higher than previous projections. Although the company exceeded previous projections, some investors may question why the stock is moving lower. The modest decline appears to be primarily driven by the ongoing uncertainty surrounding the Chinese market. Also, investors note that the uncertainties within the market have not provided the confidence to purchase the stock at such a high price. Nvidia’s 2nd quarter 2026 results showed its data centre unit firmly driving the global AI boom. CFO Colette Kress projected $3–$4 trillion in AI infrastructure spending by the end of 2029. Revenue rose 56% to $30.04B, marking nine straight quarters of 50%+ growth since the AI surge in 2023, though this was the slowest pace in that period. However, the slowdown did not set off any alarm bells as NVIDIA was unable to sell certain chips to China. This is something the company is hoping will change in the upcoming quarters. Can The SNP500 Maintain its Gains? If NVIDIA stocks see an increased demand and investors look to take advantage of the lower price, the stock can support the SNP500. NVIDIA stocks currently hold a weight of 7.61% and are the most influential stock by more than 1%. However, will investors continue to go long on the SNP500 while certain negative conditions remain? The latest concern for investors is the 50% tariffs which the White House has slapped on India for purchasing large amounts of Russian Oil. The US is claiming it indirectly funds Russia’s military campaign. On the other hand, India claims the US is hypocritical as it continues to purchase certain commodities from Russia. The White House trade adviser, Peter Navarro, told journalists that there is a possible 25% reduction in these tariffs if India halts imports of discounted Russian oil; however, this is not likely. However, a positive note regarding tariffs is Mexico’s plans to increase tariffs on Chinese Goods after months of pressure from the US. Mexico is hoping for more favourable trade with the US after agreeing to do so. According to most analysts, the SNP500 can maintain momentum only if trade tensions do not continue to escalate. It also depends on whether the Federal Reserve follows through with its plan to cut the Federal Funds rate by 0.50% by the end of the year. Today's Live Analysis Session Key Takeaways: The SNP500 dipped after NVIDIA’s earnings but rebounded near record highs, supported by tech and energy stocks. NVIDIA beat expectations on EPS and revenue, yet its stock declined due to China market uncertainty and valuation concerns. Nvidia’s data centre growth drives the AI boom, with $3–$4T in projected spending by 2029, though Q2 growth slowed. US tariffs on India add pressure, with SNP500 momentum hinging on easing trade tensions and a Fed rate cut. Always trade with strict risk management. Your capital is the single most important aspect of your trading business. Please note that times displayed based on local time zone and are from time of writing this report. Click HERE to access the full HFM Economic calendar. Want to learn to trade and analyse the markets? Join our webinars and get analysis and trading ideas combined with better understanding of how markets work. Click HERE to register for FREE! Click HERE to READ more Market news. Michalis Efthymiou HFMarkets Disclaimer: This material is provided as a general marketing communication for information purposes only and does not constitute an independent investment research. Nothing in this communication contains, or should be considered as containing, an investment advice or an investment recommendation or a solicitation for the purpose of buying or selling of any financial instrument. All information provided is gathered from reputable sources and any information containing an indication of past performance is not a guarantee or reliable indicator of future performance. Users acknowledge that any investment in Leveraged Products is characterized by a certain degree of uncertainty and that any investment of this nature involves a high level of risk for which the users are solely responsible and liable. We assume no liability for any loss arising from any investment made based on the information provided in this communication. This communication must not be reproduced or further distributed without our prior written permission.

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Revo AI Bank RevoAI Bank: The 5th Financial Banking Revolution – Bank 5.0 1. Executive Summary 1.1 Vision & Mission RevoAI aims to create a secure, scalable platform that integrates advanced artificial intelligence (AI), machine learning (ML), and blockchain to deliver personalized financial services and professional development tools. Our mission is to empower individuals and businesses to navigate AI-driven economic changes by combining fintech efficiency with skills enhancement, promoting augmentation over displacement. We envision a hybrid ecosystem—"Bank 5.0"—where financial stability and career growth are interconnected, fostering long-term user value in a responsible manner. 1.2 The Problem Traditional banking relies on outdated systems, leading to high costs, inefficiencies, and limited personalization. The rise of AI and ML exacerbates skills gaps, with projections indicating 85 million jobs displaced by 2025 (World Economic Forum). Current fintech solutions, like siloed Buy Now, Pay Later (BNPL) platforms, often overlook long-term user relationships, resulting in higher defaults and missed opportunities for holistic support. Regulatory fragmentation and ethical concerns around AI further complicate adoption, while blockchain's potential remains underutilized due to integration challenges. 1.3 The RevoAI Solution RevoAI offers a modular platform starting with an AI-enhanced BNPL service as our minimum viable product (MVP), expanding into a full digital banking suite with skills development tools. We leverage ML for credit assessment, blockchain for transparent transactions, and "human-in-the-loop" oversight for ethical compliance. This phased approach ensures early revenue while building a defensible ecosystem, differentiating us through verifiable skills profiles and tokenized rewards. 1.4 Market Opportunity The global BNPL market is projected to reach approximately $911.8 billion by 2030, growing from $492.8 billion in 2024 at a CAGR of about 13%. AI in banking is expected to grow from $26.7 billion in 2025 to $339.1 billion by 2034, with a CAGR of around 32%. Blockchain technology is forecasted to expand from $32.99 billion in 2025 to $393.45 billion by 2030, at a CAGR of 64.2%. The lifelong learning market, crucial for addressing AI-induced skills gaps, is valued at around $375 billion in 2023 and projected to reach $750 billion by 2033. RevoAI targets these intersections, aiming for a 0.1-0.5% market share in BNPL and AI-fintech hybrids within five years. 2. Market Problem and Competitive Landscape 2.1 Legacy Banking Inefficiencies Outdated mainframes and manual processes inflate costs by up to 30% and hinder adaptation to digital-native users. Cross-border payments via SWIFT remain slow and expensive, while compliance burdens small firms disproportionately. 2.2 BNPL Limitations While popular, providers like Klarna and Affirm focus on transactions, with limited AI integration for risk or user retention. Defaults average 5-10%, and they lack ecosystems linking finance to professional growth. 2.3 AI-Driven Skills Gap With 85 million jobs at risk, verifiable skills assessment is critical. Existing platforms (e.g., LinkedIn Learning) are siloed, ignoring financial data for holistic profiles. 2.4 Competitive Analysis RevoAI differentiates from BNPL leaders (Klarna with AI chatbots, Affirm with crypto integration) by embedding ML-driven skills tools and blockchain tokenization. Unlike DeFi platforms (Aave), we prioritize regulatory compliance. Our hybrid approach addresses gaps in ethics and scalability, positioning us in a fragmented market. 3. The RevoAI Solution: Phased and Defensible Approach Our strategy emphasizes iterative development, starting small to validate assumptions and generate revenue. 3.1 Phase 1: AI-Enhanced BNPL MVP Launch a BNPL service with ML-based credit scoring (analyzing 100+ data points for 40% improved accuracy). Partner with 5-10 e-commerce merchants; reward timely payments with Aptitude Tokens for user retention. 3.2 Phase 2: Ecosystem Expansion Introduce Aptitude Catalyst: ML-powered skills engine for assessments and recommendations. Use blockchain for verifiable "Skills Passports," integrating financial data for personalized advice. 3.3 Phase 3: Full Digital Banking Roll out lending, global payments (blockchain-disrupted SWIFT), asset tokenization, and insurance. Migrate to custom protocol for full decentralization, with AI risk engines reducing defaults by 75%. 4. Technology & Infrastructure 4.1 Blockchain Foundation Hybrid model: Leverage Solana for MVP speed, transitioning to RevoAI Protocol with Proof-of-Stake for efficiency. Focus on interoperability to avoid silos. 4.2 AI/ML Stack Credit Engine: ML models for real-time assessments, reducing fraud by 73%. Aptitude Catalyst: NLP and analytics for skills profiling. Human-in-the-Loop: Ensures ethical oversight, addressing biases. 4.3 Integration Strategy Acquire DCapX code for exchange features; comply with PCI-DSS, GDPR, and emerging AI regs. 5. The Team Matt Kelly (CEO): 20+ years in business and talent management. Roger Scott (Inventor & Founder): Executive with tech innovation expertise. Peter Nguyen (Tech Lead): AGI/ML specialist from UNSW. Robert Kassel (Marketing): Experienced in tech launches. Supported by advisors in fintech regulation and blockchain. 6. Tokenomics 6.1 RVAI Token (Security) Issued via STO; represents equity-like stake with profit-sharing. Total supply: 100M; allocation: 40% investors, 30% team/vesting, 20% ecosystem, 10% reserves. 6.2 Aptitude Token (Utility) Deflationary (burn mechanism); earned via payments/milestones, used for premium features. Supply: 1B; focuses on utility to avoid volatility. 7. Regulatory Strategy 7.1 Compliance Focus Target friendly jurisdictions (e.g., the UAE, the US, EU, Singapore with AI Act). Use sandboxes for testing; incorporate explainable AI to meet transparency requirements. 7.2 Challenges and Mitigation Address biases (audits), data privacy (GDPR), and crypto scrutiny (SEC hybrid models). Human oversight minimizes risks. 8. Financial Projections Based on conservative assumptions (5% BNPL penetration in target markets): Revenue: $19.8M (2025) → $133.2M (2029), CAGR 61%. EBITDA: $10.1M → $83M (margin 51% → 62%). Funding Ask: $10M STO for Phase 1; ROI potential 5-10x via IPO/RTO by Year 5. 9. Risks and Mitigation Technological: Integration failures; mitigated by hybrid blockchain and pilots. Regulatory: Delays; proactive engagement and compliance tools. Market: Competition; differentiated by AI-skills fusion. Financial: Volatility; diversified revenue (subscriptions 60%, fees 40%). SWOT: Strengths (ethics focus); Weaknesses (early-stage); Opportunities (market growth); Threats (reg changes). 10. Roadmap Timeframe Milestones Year 1 (2025) Secure $2M funding; BNPL MVP launch; 50K users. Year 2 (2026) Scale BNPL; Aptitude Catalyst beta; profitability. Year 3-4 (2027-2028) Full suite rollout; protocol migration; $50M revenue. Year 5+ (2029+) IPO;global expansion; $100M+ revenue. 11. Conclusion RevoAI bridges fintech and skills development with ethical AI and blockchain, delivering meSPAM BANble value in a growing market. We seek partners for this journey—contact us at info@revoaibank.com to invest or collaborate. Website: https://revoaibank.com X/Twitter: https://x.com/revoai_bank Email: info@revoaibank.com YouTube: https://www.youtube.com/@revoaibankofficial Full Document: https://linkbio.co/revoaibank