Welcome to Nofinity

In this conversation, Yuval Rooz, CEO of Digital Asset (creator of the Canton Network), explains why Canton's approach to institutional blockchain is unique and promising.

• Canton is not a direct competitor to Ethereum or Solana, but is specifically designed for institutional requirements.
• Core features:
  • Privacy: Data is not replicated to all nodes, which is crucial for compliance with regulations like Swiss data domicile laws or HIPAA.
  • Issuer Sovereignty: Unlike public chains, issuers have full control over their assets without third parties (like a Security Council) being able to manipulate them.
  • Governance: A decentralized approach – Digital Asset has no control over network governance (e.g., chaired by Euroclear/DTCC).
  • Economic Model: No priority fees (MEV) – transactions require burning tokens, reducing supply (currently ~9% burned in <2 years).

Canton is not a monolithic chain, but a network of networks ("Cantons"), inspired by Swiss cantons. This enables:

• Horizontal scaling through separate, independent ledgers.
• Atomic transactions across different Cantons (e.g., DVP via a "global synchronizer"). Transaction coordination and data storage are separated, increasing security – even a 51% attack on the super-validators cannot manipulate stored data.

• Superficial Tokenization ("Tokenization Theatre") only creates IOU tokens based on off-chain ledgers – introducing additional counterparty risk.
• True Tokenization (like Canton) makes the ledger the official books and records of an asset – similar to ETH on Ethereum. This requires privacy and issuer sovereignty.

• Real-time Cash Management: Global firms can use Canton to instantly convert idle cash (e.g., $1 billion) into money market funds, earning an additional $30–35 million annually.
• Collateral Efficiency: Real-time margining can improve balance sheet efficiency by 40–60% – a game-changer for trading firms.

• Canton aims to make existing financial markets more efficient without creating excessive new leverage (unlike many DeFi protocols).
• Zero-knowledge proofs are deemed impractical for regulatory purposes (e.g., liability issues for errors).

• Digital Asset has no pre-mine or token allocations for founders, employees, or investors.
• The $355 million funding round was purely equity-based – investors (like A16Z Crypto) bet on company value, not token allocations.
• Decentralized Governance: The Canton Foundation, which controls the open-source codebase, is chaired by Euroclear and DTCC – not Digital Asset.

"Canton is the only blockchain that attracts institutional financial flows in a way that reduces the real token supply through burning (currently ~9% in <2 years) – and with a governance model controlled by the largest market participants, not the founders."

Summary follows...

This video analyzes the current state of the S&P 500, which hit new all-time highs in August 2026. The speaker compares the situation to previous midterm election years (2014, 2018, 2022) and identifies patterns suggesting a possible correction in late summer or autumn.

🔍 Historical Comparisons

• 2014: Correction started on September 19 with a decline of about 10%.
• 2018: Correction started on September 21 with a decline of about 20%.
• 2022: Correction started as early as August 16 (bear market) with a decline of about 20%.
• Current (2026): The S&P 500 is at all-time highs – similar to 2014 and 2018 at this time.

⏳ Potential Timing of the Correction

• The next Fed meeting on September 16 could be a turning point.
• A rate hike or persistently high bond yields (10-year at 4.6%, 30-year already above October 2023 levels) could trigger a correction.
• The speaker expects the correction to begin in September, but it could extend into October or December.

💡 Impact on Bitcoin

• Historically, Bitcoin's cycle bottom often coincided with the second stock market correction in the second half of the year (e.g., 2014, 2018, 2022).
• If the S&P 500 drops to 6,000, Bitcoin could lose support at $60,000.

🛠️ Speaker's Strategy

• He regularly buys low-cost index funds and does not try to time the market.
• He views corrections as buying opportunities, not sell signals.
• He advises monitoring the bond market and the Dollar Index (DXY).

📅 Conclusion

• New all-time highs often lead to further highs before a correction occurs.
• The most likely period for a correction is September 2026, based on historical patterns.
• The speaker remains optimistic for long-term investors but warns of short-term risks.

• Oracle CDS hits higher levels than the Global Financial Crisis – a warning for credit markets.
• The US steps in to support the Japanese Yen, highlighting fiat fragility.
• Crypto Fear & Greed drops to 25 (extreme fear), Ethereum bleeds, Bitcoin holds $64K despite geopolitical tensions.

• Three on-chain indicators (Satoshi Meter, Porcopolis Power Law, Omega Score) align to signal a deep accumulation zone („killbox“).
• The historical correlation with ISM PMI remains intact: PMI has exploded, and Bitcoin should follow within 60 days – otherwise the correlation is dead.
• US GDP forecast for Q3 2026: +6.2% (Atlanta Fed), driven by AI.

• Tech stocks recover massively: Microsoft +26%, Amazon +19%, Palantir +30% (the $106 dip highlighted as an ideal entry).
• AI capex from hyperscalers exceeds $1 trillion, flowing into Nvidia, AMD, Broadcom, etc.
• Tesla FSD: 70 million miles/day, life-saving; Optimus robot in development.
• SpaceX beats expectations (revenue +92%, profit), but „buy the rumor, sell the news“.

• Open-source models (DeepSeek V4) outperform closed source (Claude) with better quality at 98% lower cost.
• GPU costs continue to rise – demand is insatiable.

• Europe lags due to overregulation.
• AI could become an incorruptible source of truth, reshaping politics and society.
• Key takeaway: It's always darkest before the dawn – bullish on Bitcoin and AI.

Summary: Risk Researcher Warns: Why Shareholders Are Walking Blindly into Ruin + Germany's State Failure

In this interview, risk researcher Prof. Dr. Werner Gleisner analyzes the current risks for investors and companies. He warns of a dangerous risk blindness among many investors who focus only on cheap valuation metrics (like P/E ratio) without considering actual corporate risks. For Germany, he paints a bleak picture: competitiveness is declining, bureaucracy is paralyzing, and the state is failing to implement necessary reforms.

• The risk situation for German companies has worsened due to geopolitical power shifts and self-inflicted problems (e.g., low productivity, high energy costs).
• Germany is in a weak position because it has set wrong priorities for years (e.g., ESG goals over economic growth).
• The biggest crisis could be a chance for reforms, but political gridlock (firewalls, lack of majorities) prevents quick solutions.

• Many companies fail to meet legal requirements (StaRUG 2021): They must identify, quantify, and aggregate risks (Monte Carlo simulation).
• Without risk aggregation, companies miss combination effects – this is a ticking time bomb for bankruptcies.
• Auditors often do not check this; therefore, shareholders are blind to internal risks.

• Classic value investing (low P/E) is risk-blind: It confuses undervalued companies with high-risk cases.
• Modern strategy: first estimate the probability of bankruptcy (e.g., using equity ratio and return on total capital), then only select robust companies with a cheap valuation.
• Studies show: Profitability (high return on equity) is a stable success factor.

• AI can process huge amounts of data but is often used incorrectly for business questions (e.g., expected value vs. most likely value).
• Properly curated, AI helps with risk analysis and decision templates.
• Danger: AI amplifies human errors and does not replace decision-makers' responsibility.

• Within the next 10 years, 1–2 severe crises are likely (economic, financial, or geopolitical crisis).
• Investors should diversify globally, favor robust companies, and check for risk aggregation in annual reports.
• Germany needs three immediate measures: faster defense capability, restoration of competitiveness (reduce bureaucracy, foster innovation), and a comprehensive national risk analysis.

Original title: Risikoforscher warnt: Darum laufen Aktionäre blind ins Verderben + Deutschlands Staatsversagen

This video analyzes how the Bitcoin price rallied despite Strategy (formerly MicroStrategy) pausing its purchases and even selling, disproving the thesis that Bitcoin depends on Michael Saylor.

The Turning Point: Strategy Stops Buying and Starts Selling

• On June 22, Michael Saylor made his last purchase of 520 Bitcoin. This was followed by a five-week pause – the longest since 2020.
• Just six days later, Bitcoin bottomed below $59,000.
• Strategy sold 3,588 coins straight into the low.
• The largest corporate buyer in the market walked away – and Bitcoin still recovered.

Why Saylor Changed Strategy

• On June 29, Strategy announced a new "Digital Credit Capital Framework," marking a complete reversal:
  • USD Reserve Policy: A minimum cash floor covering 12 months of interest and dividend payments.
  • Bitcoin Monetization Program: Authorization to sell coins worth up to $1.25 billion.
  • Share Buybacks: $2 billion authorized for buybacks of its own preferred and common stock.
  • Dividend Hike: Increased to 12% annually for the STRC preferred stock.
• CFO Andrew Kang stated: "Bitcoin is capital" – an asset to be deployed based on return.

The End of the Accumulation Flywheel

• Strategy raised over $1 billion through equity issuance in July but bought zero Bitcoin.
• Instead, the funds went to the credit reserve and share buybacks – the opposite of its previous strategy.
• Cash reserves hit an all-time high of $3.75 billion.

Bitcoin Rallied Anyway: Who Bought?

• Bitcoin ETFs: After $4.5 billion in outflows in June, inflows returned in July ($981 million over seven days).
• Other Companies: Japan's Metaplanet bought 2,823 Bitcoin in the same week Strategy was selling.
• Long-Term Holders: Shifted from distribution to net accumulation – smaller and mid-sized wallets absorbed the ETF redemptions.
• Bitwise CIO Matt Hogan: "Strategy's era as the dominant buyer is likely over. Institutions are filling the gap."

The Changed Risk Framework

• The sell program is capped at $1.25 billion (approx. 2.5% of holdings) – only 17% used so far.
• The liquidity reserve now covers 24–28 months of obligations (previously 10 months).
• The MNAV (Multiple Net Asset Value) briefly fell below 1 but recovered to 1.03 – the market is re-rating the strategy positively.

Conclusion: Bitcoin is No Longer a One-Man Bet

• The thesis that Bitcoin depends on Saylor has been disproven: Strategy paused and sold, yet Bitcoin rose – carried by ETFs and long-term holders.
• The risk of a forced Strategy sell-off is now quantifiable and limited.
• The marginal buyer has shifted from a single company to a decentralized group of institutions and retail investors.

Caution: Several smaller companies liquidated their Bitcoin holdings to service debt. Analysts warn of a potential retest of the mid-$50,000s if ETF demand fades.

This video analyzes Oracle stock from a value investor's perspective. The speaker discusses why the market is skeptical despite high growth figures and whether the stock is a worthwhile 'picks and shovels' play in the AI sector.

• Most analysts rate Oracle as Strong Buy, but the speaker points out that analysts often follow the stock price and haven't yet adjusted their targets to market developments.
• The average analyst price target implies a 90% upside, which the speaker considers unrealistic.
• Bulls argue for AI cloud growth and 'picks and shovels', while bears point to high capital expenditures (Capex) and unclear return on investment (ROI).

• Revenue growth is at 20%, with cloud infrastructure growing by 93% and CPU/GPU infrastructure by 119%.
• Remaining performance obligations (RPO) have surged to $648 billion, indicating future revenue.
• However, debt levels are also rising sharply, as Oracle finances investments through debt and preferred shares.

• The speaker argues that growth could be circular, similar to hyperscalers, since many customers themselves are unprofitable.
• Oracle is betting that AI will remain in high demand, but no one knows whether chips and infrastructure will still be valuable by 2030.
• The stock has fallen about 60% from its peak, showing the market recognizes the risks.

• The speaker views Oracle as speculative gambling rather than a safe investment.
• He compares it to Bitcoin – a game one might play, but the outcome is unknown.
• For him, if uncertainty is too high and achieving financial goals isn't guaranteed, he skips the stock and invests elsewhere.