Nasdaq Plans to Launch 23-Hour Trading, Paving the Final Stretch for On-Chain Stocks and Tokenized Assets

marsbitPubblicato 2025-12-17Pubblicato ultima volta 2025-12-17

Introduzione

Nasdaq has submitted a proposal to the SEC to extend U.S. stock trading hours to 23 hours per day, effectively formalizing overnight trading. This move is seen as a step toward preparing the market infrastructure for future 24/7 on-chain stock trading and asset tokenization. Key implications include: - Improved accessibility for retail investors, enabling trading across more time zones without waiting for traditional market hours. - Enhanced performance for on-chain stock platforms (e.g., Ondo Finance, StableStock), as their broker-mediated transactions will align with extended market hours, ensuring smoother and more liquid operations. - Stronger support for DeFi protocols, as near-24-hour official pricing improves oracle reliability for lending, derivatives, and other decentralized applications. - Better risk management for brokers and market makers, who can hedge positions throughout most of the day, leading to smoother pricing and deeper on-chain liquidity. This shift signals accelerating momentum toward on-chain equities and tokenized assets.

Just saw a very interesting piece of news:

A few hours ago, Nasdaq officially filed documents with the SEC, planning to extend U.S. stock trading hours to 23 hours per day, formally incorporating the "night session" into the official trading system.

Hmm? Are you trying to set the stage for the 7x24 "on-chain stocks" and "tokenized assets" market two years from now, starting with 5x23?

Simply put, it currently looks like the image above. If approved, it will change to the image below.

If it really gets approved, the impact will be significant:

1. Retail Investors - First and foremost, the experience for retail investors will improve. No more staying up late waiting for the market to open; they can buy and sell during the day too.

And this enhanced experience isn’t limited to Futu and Tiger Brokers. It applies equally if you’re using on-chain U.S. stocks like Ondo Finance or StableStock. This is because, fundamentally, your buying and selling are executed through their brokers acting as intermediaries. This is also the underlying mechanism for "on-chain U.S. stocks having no slippage and infinite liquidity," as they are backed by the NYSE and Nasdaq. As long as broker transactions become smoother, your on-chain actions will naturally become smoother too.

2. DeFi - Previously, the low liquidity and trading volume in pre-market and after-hours sessions affected the composability of on-chain U.S. stocks in DeFi, as the price discovery mechanism was in a "downgraded mode" during non-trading hours. Now, with nearly 24-hour official markets, it will provide the most authoritative and uninterrupted "price oracle" for future DeFi protocols (such as lending and derivatives).

3. Brokers/MMs for On-Chain U.S. Stocks - These brokers and market makers will now be able to hedge in the U.S. stock market for 23 hours, making the price curve smoother. Market makers can provide deeper liquidity on-chain around the clock without worrying about extreme risks. Unlike before, where a major event or black swan during the pre-market hours left prices unreflected and nowhere to run, forcing everyone to wait for the market to open.

The era of on-chain U.S. stocks and the tokenization of everything is undeniably drawing closer.

Domande pertinenti

QWhat is Nasdaq's plan for extending trading hours, as mentioned in the article?

ANasdaq has submitted a proposal to the SEC to extend U.S. stock trading hours to 23 hours per day, effectively incorporating overnight trading into the official system.

QHow would extended trading hours benefit retail investors according to the article?

ARetail investors would have a better experience as they wouldn't need to wait for the market to open, allowing them to trade during their daytime hours more conveniently.

QWhat impact would near-24-hour trading have on DeFi protocols?

AIt would provide a more authoritative and continuous price oracle for DeFi protocols (like lending and derivatives), improving price discovery mechanisms during previously low-liquidity periods.

QHow do on-chain U.S. stock platforms like Ondo Finance achieve 'slippage-free' and 'infinite liquidity'?

AThey achieve this through brokers who execute buy/sell orders on their behalf, connecting to traditional exchanges like NYSE and Nasdaq, so extended trading hours make on-chain actions smoother.

QWhy is the extended trading window beneficial for brokers and market makers in the on-chain stock space?

AIt allows them to hedge in the U.S. stock market for 23 hours, leading to smoother price curves and deeper on-chain liquidity without worrying as much about extreme risks during off-hours.

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A social media analyst, Vivek Sen, has suggested Bitcoin could reach $400,000 in 2026 based on a chart overlay comparing its price structure to gold's historical breakout pattern. The claim, made via an X post, argues that if Bitcoin continues to mirror gold's past trajectory, a significant price surge is possible. However, the article notes this is a visual comparison and not a formal forecast or valuation model. The analysis highlights that Bitcoin and gold have different market characteristics, including size, liquidity, volatility, and investor bases. Bitcoin's price is also more influenced by factors like ETF flows, derivatives, and crypto-native leverage. For the $400,000 scenario to materialize, the article suggests sustained institutional inflows, supportive macro conditions, and a strong ongoing uptrend would be necessary. Ultimately, the report frames the $400,000 target as a speculative, bullish scenario rather than a base-case prediction. It concludes that while the gold overlay provides an interesting framework, its relevance depends on real-world market confirmation through price action and demand signals.

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Bitcoin Halving Clock Points To Bottoming Phase, But Cycle Signal Needs Caution

Crypto analyst Crypto Rover claims Bitcoin is currently in a post-halving "bottoming phase," based on a historical cycle chart suggesting repeatable market rhythms. However, the analysis is flagged as speculative trader commentary, not a confirmed signal. The article cautions that halving-cycle models are less reliable in today's more mature, institutional market influenced by ETFs, derivatives, and macro factors. While such narratives can shape trader sentiment, actual confirmation of a bottom requires support from price action, liquidity, on-chain data, and broader risk appetite. The key takeaway is to view the cycle argument as an interesting framework, not a trade signal, until Bitcoin demonstrates it can hold key support levels and build a stronger price structure.

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Bitcoin Trader Says Cycle Tops And Bottoms Match Exact Day Counts

A Bitcoin trader claims to have discovered a remarkably precise timing pattern in Bitcoin's market cycles, suggesting they repeat to the exact day. According to the trader, bull-market runs from cycle low to high in the 2014-2017, 2018-2021, and 2022-2025 periods each lasted precisely 1,064 days. Similarly, bear-market declines from peak to trough in 2017-2018 and 2021-2022 allegedly lasted exactly 364 days. Such a pattern would offer traders a simple, calendar-based framework for anticipating market turns. However, the article highlights significant risks with such exact-cycle claims, noting they can depend heavily on cherry-picking specific price peaks and troughs to fit the narrative. Factors like Bitcoin halvings, macro conditions, and investor psychology influence markets but don't guarantee perfect day-count windows. Despite the skepticism warranted towards precise date predictions, cycle theories remain powerful narratives in crypto. They provide traders with a story to frame market uncertainty and timing decisions, especially during periods of consolidation. The takeaway is that while these patterns are interesting as social-market commentary, they should not be relied upon alone for making concrete price predictions.

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$9.4 Billion: The Largest Robotics Funding This Year Has Emerged

Munich-based humanoid robotics company Neura has completed a $1.4 billion (approximately RMB 94.9 billion) Series C funding round, valuing the company at around $7 billion and positioning it among the global leaders in the sector. The investment round is notable not just for its size—reportedly the largest in robotics this year—but also for its strategic backers, which include tech giants like NVIDIA and Amazon, alongside established industrial players such as German engineering firms Bosch and Schaeffler. This mix of investors signals a significant shift in the industry's focus from technological demonstrations and general-purpose narratives toward practical, industrial deployment and commercialization. Neura's approach centers on developing humanoid robots for defined, high-value industrial tasks rather than pursuing a general-purpose model. Its early validation comes from a partnership with BMW, where its robots are being tested on actual production lines. The involvement of Bosch and Schaeffler, companies deeply embedded in global manufacturing, underscores a growing belief that humanoid robots are transitioning from labs to viable factory-floor solutions. The article highlights two converging trends driving investment: advancements in AI and large language models, which enhance robots' perception and decision-making in unstructured environments, and mounting pressure from labor shortages and rising costs in major manufacturing regions. The funding landscape is now bifurcating between companies like Figure AI, focusing on versatile general-purpose robots, and firms like Neura, targeting specific vertical industrial applications with clearer, shorter paths to ROI. While technical hurdles remain, the core challenges for widespread adoption are increasingly seen as engineering and commercial in nature: managing the high integration and customization costs for different factory environments and establishing robust, localized maintenance and service networks. The record investment in Neura, particularly from industrial capital, indicates the industry's growing confidence in moving from proving feasibility to solving the practical problems of scalability, reliability, and building sustainable business models around humanoid robots in real-world settings like automotive manufacturing and hazardous labor environments.

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