Diverging signals: Dow rises, gold breaks records, and crypto faces derivatives squeeze

Diverging signals: Dow rises, gold breaks records, and crypto faces derivatives squeeze

As the United States inches closer to a federal government shutdown, with no resolution in sight after talks between congressional leaders and President Donald Trump ended without progress on Monday, investors are navigating a complex web of signals.

Wall Street stays resilient amid shutdown fears

Despite the looming administrative paralysis, Wall Street closed higher on Tuesday, extending its winning streak into a second consecutive quarter. The Dow Jones Industrial Average rose 0.2 per cent, the S&P 500 gained 0.4 per cent, and the Nasdaq added 0.3 per cent.

This resilience suggests that market participants either believe the shutdown will be short-lived or have already priced in its limited economic impact, given that past shutdowns have rarely derailed broader market trends for long.

Treasury yields and gold signal investor anxiety

Beneath the surface, subtle shifts in asset prices reveal deeper unease. US Treasury yields moved in opposite directions, reflecting a classic flight-to-quality dynamic mixed with short-term policy uncertainty. The 10-year yield inched up by one basis point to 4.148 per cent, while the 2-year yield fell by two basis points to 3.612 per cent.

This flattening of the yield curve often signals that investors expect near-term economic disruptions, such as a government shutdown, to weigh on growth, even if longer-term inflation or fiscal concerns remain elevated. Meanwhile, the US Dollar Index declined 0.1 per cent to 97.8, indicating a modest retreat in safe-haven demand for the greenback.

In contrast, gold surged 0.6 per cent to a record high of US$3,858.18 per ounce, underscoring its enduring role as a hedge against political and institutional instability. The precious metal’s ascent to unprecedented levels speaks volumes about the depth of investor anxiety, even as equities hold firm.

Oil and Asian markets reflect fragile demand

Commodities tell a different story. Brent crude oil dropped 1.4 per cent to US$67 per barrel, pressured by expectations that OPEC+ may accelerate its planned output increases in the coming months. This potential supply boost comes at a time when global demand outlooks remain fragile, particularly with China, the world’s largest oil importer, entering its week-long National Day holiday.

Asian equities reflected this caution, trading mixed on Tuesday and lower in early sessions on Wednesday, with mainland China and Hong Kong markets shuttered for the festivities. The absence of Chinese participation in regional trading has amplified volatility and reduced liquidity, leaving other markets more exposed to external shocks, including developments in Washington and shifts in US monetary policy expectations.

Crypto faces a risk-off correction

The crypto market declined 0.51 per cent over the past 24 hours, aligning with the broader theme of risk-off behaviour and profit-taking following recent rallies. Two distinct forces are shaping this correction: regulatory evolution and the dynamics of the derivatives market.

On the regulatory front, the Securities and Exchange Commission (SEC) issued new guidance allowing state-chartered trust companies, such as those operated by Coinbase, to act as custodians for investment advisers managing crypto assets.

At first glance, this appears to be a significant step toward institutional legitimacy. Long-term, it could pave the way for greater participation from traditional finance players who have long cited custody as a primary barrier to entry.

However, the guidance comes with stringent requirements, including mandatory annual audits and strict asset segregation protocols. These conditions have sparked operational concerns among crypto firms, many of which now face the prospect of higher compliance costs and structural overhauls.

As a result, the short-term market reaction has been one of caution rather than celebration. The progress is real, but the path to implementation remains uncertain, and the industry is watching closely for follow-up rule-making and clarity on adoption timelines from major platforms.

Simultaneously, the derivatives market is flashing warning signs. Perpetual futures open interest, a key gauge of leveraged positioning, fell by 5.48 per cent even as trading volume surged by 16.78 per cent. This divergence suggests that traders are actively unwinding leveraged long positions rather than initiating new ones. Compounding the pressure, average funding rates spiked to 0.0068, a staggering 354 per cent increase over 24 hours.

In perpetual futures markets, funding rates represent the cost of maintaining leveraged positions; when they turn sharply positive, it often indicates excessive bullish sentiment that becomes unsustainable. The recent surge suggests that longs were willing to pay a premium to stay in the market, creating a fragile equilibrium that ultimately collapsed under the weight of profit-taking and margin calls.

Notably, US$50 million in liquidations hit the XPL token alone, highlighting how concentrated leverage in smaller altcoins can amplify broader market selloffs. Historically, such spikes in funding rates precede heightened volatility, and if rates turn persistently negative, it could signal a deeper bearish shift as shorts dominate the market.

The current dip in crypto prices thus reflects a tug-of-war between structural progress and cyclical risk reduction. On one side, regulatory clarity around custody could eventually unlock billions in institutional capital, particularly if traditional asset managers gain confidence in secure, compliant infrastructure.

On the other hand, traders are aggressively trimming exposure in anticipation of near-term headwinds not just from potential SEC enforcement actions but also from macro crosscurrents like the US government shutdown and shifting Treasury dynamics.

This tension is further exacerbated by outflows from crypto ETFs, which have seen US$418 million exit Bitcoin funds and US$248 million leave Ethereum products recently. These outflows suggest that even regulated vehicles are not immune to sentiment swings, and that spot market demand may be insufficient to absorb the selling pressure from leveraged traders and cautious institutions alike.

The weeks ahead

Looking ahead, the critical support level for Bitcoin sits at US$113,000. A decisive break below this threshold could trigger further technical selling, especially if derivatives markets remain unstable.

Conversely, holding above this level might attract bargain hunters, particularly if the SEC’s custody framework begins to translate into tangible institutional inflows. Altcoins like Aster and Hyperbot face additional challenges due to supply-side constraints, which could either cushion their downside or exacerbate volatility depending on market liquidity.

Ultimately, the next few weeks will test whether the cryptocurrency market can decouple from macroeconomic noise and regulatory ambiguity, or whether it remains tethered to the same risk calculus that governs traditional assets. For now, prudence prevails, and the record highs in gold alongside muted equity gains suggest that even in a world of rising asset prices, uncertainty remains the dominant currency.

 

Source: https://e27.co/diverging-signals-dow-rises-gold-breaks-records-and-crypto-faces-derivatives-squeeze-20251001/

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8 Ways Blockchain Can Revolutionize IP Licensing for AI Firms

8 Ways Blockchain Can Revolutionize IP Licensing for AI Firms

Generative AI, with its ability to create text, images, audio, and other forms of content, has ushered in a new era of technological innovation. It also faces a severe intellectual property (IP) licensing crisis. Generative AI firms often struggle with copyright infringement risks and unauthorized data usage issues due to opaque and inefficient traditional licensing systems, which pose significant legal and ethical challenges. As blockchain technology continues to evolve, it offers a promising solution to address the IP licensing dilemmas of generative AI firms. Below is a detailed exploration of this topic in my perspective.

The IP Crisis in Generative AI

Generative AI systems require vast amounts of data for training, often sourcing it from platforms like the internet. A significant portion of this data is protected by IP rights, and the data usage permissions are often unclear. Generative AI algorithms analyze massive volumes of unstructured data, such as news articles and images, to identify patterns and relationships. During this process, details like IP rights and compensation terms are frequently overlooked, raising concerns among content creators. The Getty Images lawsuit against Stability AI is a prime example. In 2023, Getty Images filed a case against Stability AI of unlawfully copying and processing millions of copyrighted images to train its software for commercial gain, seeking up to $1.8 trillion in damages.

The traditional IP licensing system worsens these issues. It is often opaque, inefficient, and lacks transparency. For instance, creators may struggle to track how their works are used by generative AI firms and whether they receive fair compensation. Meanwhile, AI firms may inadvertently infringe on IP rights due to complex and lengthy licensing procedures, leading to legal disputes. I was at a conference early this year and I remember the speaker said that over 60% of generative AI firms have encountered IP licensing-related challenges, with 30% facing legal lawsuits. If this is true, someone or some tech got to try to fix this. The first thing I can think of would be “blockchain”.

Blockchain’s Core Strengths

Blockchain technology, characterized by decentralization, security, and transparency, can effectively address the inefficiencies and trust deficits in current IP licensing models. Blockchain operates as a distributed ledger where all transaction records are stored across multiple nodes, making data tamper-proof and immutable. This ensures the authenticity and traceability of IP ownership and usage rights. Additionally, blockchain employs advanced cryptographic techniques to protect data security, preventing unauthorized access and tampering.

Smart contracts, a key feature of blockchain, enable the automation of licensing agreements. Once predefined conditions are met, smart contracts automatically execute the terms of the agreement, reducing reliance on intermediaries and minimizing human intervention. This ensures the objectivity and fairness of the licensing process while lowering administrative costs.

Blockchain Solutions for Generative AI’s IP Licensing Issues

1. Smart Contracts for Automated Licensing

Blockchain-based smart contracts can automate licensing agreements, ensuring that creators are promptly and fairly compensated while helping AI firms easily comply with licensing requirements. For example, when a photographer’s image is used in generative AI training, a smart contract can automatically trigger a payment to the photographer once the image is accessed. This eliminates the need for lengthy negotiations and manual payments, reducing costs and improving efficiency. Based on my observations, smart contracts could probably reduce IP licensing costs by 30%–50% while enhancing transparency and fairness. This is a win-win scenario.

2. Immutable Provenance for Ownership Clarity

Blockchain’s immutable ledger permanently records data ownership and licensing history, providing a reliable basis for resolving IP disputes. Each piece of data on the blockchain carries a unique digital signature and timestamp, making it easy to trace its origin and usage history. This prevents unauthorized use and infringement, protecting creators’ rights. For instance, when a dataset is licensed to a generative AI firm, the blockchain records every detail of the licensing process, including the licensing party, terms, and duration. Any unauthorized use of the dataset can be quickly identified and addressed.

3. Decentralized Marketplaces for Cost Reduction

Blockchain enables the creation of decentralized IP licensing marketplaces where creators and AI firms can directly engage in peer-to-peer transactions, bypassing intermediaries and reducing costs. Traditional licensing often involves multiple middlemen, such as licensing agencies and law firms, which increases costs and complexity. On a blockchain-based decentralized marketplace, creators can directly publish and license their works, while AI firms can browse and purchase licenses based on their needs. This not only reduces licensing costs but also increases revenue for creators. For example, there are decentralized data marketplaces that allow data owners to control access to their data and receive compensation.

4. Enhanced Security Against Fraud

Blockchain’s cryptographic security mechanisms ensure the integrity and authenticity of licensing records, preventing fraud. All licensing information on the blockchain is encrypted and verified by multiple nodes, making it nearly impossible to forge or tamper with. This protects both creators and AI firms from false claims and ensures the reliability of each transaction. Another example that I would like to quote-  fake licenses cannot be validated on the blockchain, preventing AI firms from suffering losses due to fraudulent licenses and safeguarding creators’ rights.

5. Transparency to Build Accountability

The open and transparent nature of blockchain makes all licensing transactions visible to all parties, fostering trust and simplifying compliance for AI firms and regulators. Creators can track the usage of their works in real time, while AI firms can demonstrate compliance with licensing agreements to regulators and the public. This transparency helps build trust between creators and AI firms, fostering collaboration. Take the European Union’s Artificial Intelligence Act for instance, which took initial effect in August 2024, requires generative AI models to disclose the copyrighted works used during training. A blockchain-based platform could provide detailed records of training data sources and usage, helping AI firms meet regulatory requirements.

6. Tokenization for Flexible Licensing

Through tokenization, blockchain can transform IP assets into digital tokens, enabling flexible and scalable licensing models. Creators can issue tokens representing the usage rights to their works and sell them on blockchain platforms. AI firms can purchase the tokens they need based on their requirements. This not only provides creators with new revenue streams but also offers AI firms greater flexibility in accessing data. A musician could tokenize the licensing rights to their songs and sell them to generative AI firms. These firms could then use the songs to train music generation models while paying the musician via token-based payments.

7. Global Scalability and Compliance

Blockchain technology operates across borders, enabling generative AI firms to manage IP licensing on a global scale while complying with international regulations. Different countries have varying IP laws and regulations, making cross-border licensing complex. Blockchain’s standardized protocols and rules can simplify cross-border licensing processes, reduce legal risks, and facilitate global collaboration. Blockchain platforms could manage datasets licensed from multiple countries, ensuring compliance with each country’s IP laws while streamlining licensing procedures.

8. Future-Proofing for AI’s Evolution

Blockchain’s adaptability allows it to address emerging IP challenges as generative AI evolves, offering a long-term solution. As generative AI technologies advance, new IP issues may arise, such as ownership disputes over AI-generated content. Blockchain’s smart contracts and decentralized architecture can evolve to meet these new challenges. Future smart contracts could define usage rights and revenue-sharing mechanisms for AI-generated content, ensuring fair compensation for all stakeholders.

Existing Challenges and Prospects

Despite blockchain’s potential to resolve generative AI’s IP licensing issues, several challenges remain. First, technical barriers need to be overcome. Blockchain technology is still evolving, and its integration with generative AI systems requires significant technical effort. Achieving real-time tracking and recording of data usage in generative AI training while ensuring blockchain performance and scalability is a complex technical challenge.

Second, regulatory uncertainty persists. The legal status of blockchain-based IP licensing and the regulatory requirements for smart contracts remain unclear in many countries. This creates uncertainty for both creators and AI firms. Third, market adoption is slow. Transitioning from traditional licensing models to blockchain-based ones requires time and effort. Both creators and AI firms need to adapt to new technologies and processes, and the market requires time to mature.

In my view, the future prospects are promising. As blockchain technology matures and regulatory frameworks gradually improve, its application in generative AI IP licensing is likely to expand. More creators and AI firms will recognize the benefits of blockchain and adopt it for IP licensing. It could become the standard solution for addressing IP licensing issues in generative AI, driving the healthy development of the generative AI industry.

In conclusion, generative AI firms face a severe IP licensing crisis, while blockchain technology offers a powerful solution. By leveraging blockchain’s decentralization, security, transparency, and smart contracts, among other features, generative AI firms can address IP licensing challenges, protect creators’ rights, and achieve sustainable development. Although challenges remain in areas like technology, regulation, and market adoption, with ongoing advancements in blockchain technology and increased collaboration among stakeholders, blockchain is expected to play an increasingly significant role in resolving generative AI’s IP licensing issues. It will pave the way for the healthy growth of the generative AI industry and foster innovation and development in the digital economy era.

 

Source: https://www.securities.io/8-ways-blockchain-can-revolutionize-ip-licensing-for-ai-firms/

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The new market symbiosis: How Fed easing, AI, and crypto ETFs are lifting equities

The new market symbiosis: How Fed easing, AI, and crypto ETFs are lifting equities

As markets wrapped up trading on Monday, September 30, 2025, investors witnessed a steady climb in major indices, driven by ongoing negotiations in Congress to prevent a government shutdown. Traders focused on these developments, which injected a dose of optimism into the session.

The Dow Jones Industrial Average climbed 69 points, marking a 0.2 per cent increase. Meanwhile, the S&P 500 advanced 0.3 per cent, and the Nasdaq Composite led the pack with a 0.5 per cent gain. This upward movement highlighted a resilient market mood, even amid earlier fluctuations that tested investor resolve.

Earlier in the day, the Dow showed signs of recovery after a choppy start. It ended up 32 points, or 0.1 per cent, despite spending much of the session in negative territory. This modest rebound came as 18 out of the 30 component stocks turned positive, indicating solid breadth across the index. Such participation from a majority of its members suggested underlying strength, rather than a rally propped up by just a handful of heavyweights.

The S&P 500, for its part, held firm in positive ground throughout, rising 0.2 per cent by early afternoon. It experienced several ups and downs, reflecting the push and pull between buyers and sellers, yet it never dipped into the red for long.

The Nasdaq Composite’s 0.5 per cent advance stood out, fuelled by renewed interest in artificial intelligence-related names and the broader Big Tech sector. This dip-buying behaviour explained much of the divergence, as tech enthusiasm lifted the index while others lagged slightly.

The Dow faced headwinds mid-session, slipping 45 points or 0.1 per cent after an initial pop higher. Only 14 of its 30 stocks gained ground at that point, underscoring its relative underperformance compared to peers. Unlike the Nasdaq or S&P, the Dow carries fewer pure-play AI and tech exposures, and it prices its components by share value rather than overall market capitalisation. This structure amplified the drag from laggards.

Notably, Apple, one of the Dow’s key holdings, traded lower despite its recent strong run, which further weighed on the index. In contrast, the Nasdaq benefited from its heavier tilt toward innovative sectors, where investors scooped up shares on any weakness, perpetuating the rally in tech darlings.

Shifting focus to broader influences, several macroeconomic tailwinds and regulatory advancements played a pivotal role in bolstering sentiment. The Federal Reserve’s rate cut in September, which brought the target range to 4.00 per cent to 4.25 per cent, eased borrowing pressures across the economy. Coupled with this, the GENIUS Act streamlined rules for exchange-traded funds, enhancing liquidity prospects.

The Securities and Exchange Commission approved ETFs for alternative coins and unified derivatives regulations, which cleared away much of the fog surrounding crypto investments. These steps actively drew in more capital from institutions, fostering a positive spillover into equities. Crypto’s seven-day correlation to the Nasdaq 100 stood at +0.72, illustrating how shared economic drivers linked these assets.

Investors now anticipate the SEC’s October 10 deadline for approving a Solana ETF, with analysts pegging the odds above 95 per cent. This potential green light could further integrate digital assets into traditional portfolios, amplifying the bullish momentum seen in stocks.

Binance’s recent initiatives added another layer of institutional momentum to the mix. The exchange introduced a white-label platform allowing banks and brokerages to integrate crypto offerings seamlessly, echoing a similar launch by Coinbase in June. This development sparked a sharp uptick in activity, with spot trading volume surging 58.47 per cent over 24 hours and derivatives volume jumping 77.41 per cent.

Such increases pointed to heightened engagement from professional players, bridging the gap between traditional finance and digital assets. Tokens like BNB rose 3.78 per cent, while Mantle climbed 7.41 per cent, buoyed by corporate adoptions such as CEA Industries’ US$160 million purchase of BNB for its treasury.

These moves signalled growing confidence in crypto as a viable reserve asset. Looking ahead, Binance’s full rollout of this service in the fourth quarter will serve as a crucial gauge for enduring demand from institutions, potentially sustaining the uplift in related equities.

On the technical and on-chain front, the picture presented a blend of encouraging and cautionary signals. BNB’s Maxwell hard fork reduced block times to 0.75 seconds, accelerating network efficiency and spurring greater usage. Bitcoin’s market dominance edged up to 58.05 per cent, hinting at a shift toward established large-cap cryptos amid uncertainty.

Total open interest in crypto reached US$1.14 trillion, up 9.66 per cent in the last 24 hours, which underscored robust speculative interest. However, the MACD histogram dipped to -10.59 billion, flagging potential overheating in derivatives markets. This duality captured the market’s current state: enthusiasm tempered by risks of excess leverage.

In my opinion, this Monday’s market action marks a turning point where policy easing and innovation converge to propel assets higher, albeit with vulnerabilities. I view the Fed’s dovish stance as a foundational support, lowering costs and encouraging risk-taking that benefits both stocks and crypto. The rate cut directly contributes to improved liquidity, which in turn supports the Nasdaq’s outperformance through investments in AI and tech.

Regulatory clarity, especially around ETFs and derivatives, removes barriers that once deterred big money, and the high odds for Solana’s approval excite me as a catalyst for fresh inflows. Binance’s push feels like a game-changer, actively pulling traditional finance into the fold and driving those volume spikes that ripple into broader markets. The corporate buys, like CEA Industries’ sizable BNB stake, convince me that we’re seeing real adoption, not just hype.

I remain watchful of the mixed technicals. The rise in Bitcoin dominance suggests investors favor safety in giants, which could cap gains in smaller names and indirectly pressure diversified indices like the S&P. The open interest boom is thrilling, but that negative MACD reading worries me about overextension in derivatives, where unwinds could spark volatility. Spot ETF assets under management at US$147.75 billion provide a buffer, yet if leverage risks escalate, they might not hold the line.

Overall, I lean bullish, believing macro tailwinds and institutional integration outweigh the froth. The Dow’s recovery, with 18 components advancing, reassures me of broad participation, while the Nasdaq’s 0.5 per cent gain highlights sector leadership. If Congress averts the shutdown, this could extend the grind higher.

 

Source: https://e27.co/the-new-market-symbiosis-how-fed-easing-ai-and-crypto-etfs-are-lifting-equities-20250930/

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