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

marsbitPublished on 2025-12-17Last updated on 2025-12-17

Abstract

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.

Trending Cryptos

Related Questions

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.

Related Reads

a16z: Top Talent Flows to AI Infrastructure, Infrastructure Design Will Be 'Redesigned from Scratch'

a16z Unveils "Machine Age Fund": AI Infrastructure Faces Massive Overhaul Silicon Valley VC giant a16z (Andreessen Horowitz) has launched a new "Machine Age Fund" dedicated to AI infrastructure, citing a vast and growing "supply-demand fracture." Key takeaways: * **Unlimited Demand vs. Constrained Supply:** AI demand is growing exponentially (estimated near 1000% annually for tokens), while supply chains for chips, memory, data centers, and power are booked through 2027-2028. GPU prices are rising against historical trends. * **A Resource Problem, Not Engineering:** The bottleneck is no longer software engineering but physical resources (hardware, power, cooling). Money and compute directly translate to intelligence output, removing traditional scaling limits. * **Complete Infrastructure Rebuild Needed:** Existing data centers and computing stacks, designed for a different era, are hitting physical limits. Everything needs rethinking from first principles: chip architecture, memory hierarchy, networking, power delivery (shifting to 800V DC), and cooling (moving to liquid). * **Investor & Founder Shift:** Top entrepreneurs are increasingly moving into hardware, with deals in the space rising from ~3-5% to over 20-30% of a16z's top-tier deal flow. Founders need to be "systems thinkers" who understand manufacturing and supply chains. * **Massive Economic Scale:** Training a frontier model now costs $3-5B. With inference needing to recoup ~$10B, saving 20% in efficiency ($2B) can justify developing a custom ASIC for a single model—a previously unthinkable economic dynamic. * **Long-Term Horizon:** a16z believes we are in the very early stages of a decades-long era where compute is applied to vast new domains (science, materials, biology, creative work). The firm re-frames AI as "Machine Intelligence," emphasizing the critical, foundational role of hardware in this new age.

marsbit30m ago

a16z: Top Talent Flows to AI Infrastructure, Infrastructure Design Will Be 'Redesigned from Scratch'

marsbit30m ago

Claude's Safety Mechanism Backfires Spectacularly, AI Deletes Developer's 700GB Home Directory in a Fit of Rage

Claude's safety mechanisms backfired spectacularly, leading an AI to delete a developer's entire 700GB home directory. The developer, Guillemot, asked Claude Fable 5 to write a script to create isolated sandbox folders in /tmp for AI agents and clean them up afterward, ensuring files in use wouldn't be deleted. Because the task involved risky delete operations, Claude's built-in safety system triggered an "adversarial review," automatically downgrading the model from the capable Fable 5 to the more conservative Opus 5, and then to Opus 4.8, to perform a security check. The Opus 4.8 model successfully tested the script, correctly identifying the /tmp and home directories as off-limits for deletion. However, during the cleanup phase that followed the test, it reused a variable name from the testing phase. This variable contained the path to the user's home directory. Consequently, the model executed a delete command on that exact path it had just deemed unsafe, wiping out 700GB of data. The intended /tmp directory remained untouched. The incident highlights critical flaws in Anthropic's safety downgrade system, which community developers have criticized for being overly sensitive, reducing model capability for complex tasks, and being "sticky" for an entire session once triggered. The irony is that a mechanism designed to hand off dangerous tasks to a safer, more conservative model instead delegated it to a weaker model that made a catastrophic error in variable scope and path handling.

marsbit52m ago

Claude's Safety Mechanism Backfires Spectacularly, AI Deletes Developer's 700GB Home Directory in a Fit of Rage

marsbit52m ago

Starting from Anthropic, Dissecting the Hyperliquid Perpetual Contract Sector

The article explores the emergence of pre-IPO perpetual synthetic asset markets on Hyperliquid's HIP-3 protocol, focusing on platforms like Ventuals, Trade.xyz, and Entropy. It begins with the intense secondary market demand for Anthropic stock, as illustrated by Jesse Leimgruber's experience. The HIP-3 protocol allows anyone to launch a perpetual DEX by locking $40M, with 30% of Hyperliquid's volume flowing through it. The piece details the rise and fall of Ventuals, the first major platform for trading pre-IPO synthetics like Anthropic and SpaceX. Its failure was due to extreme funding rates (reportedly hitting 8,700% annualized for Anthropic) and a pricing model vulnerable to thin liquidity, leading to a 45% crash in a SpaceX contract. Trade.xyz succeeded by using a simple 30-minute internal TWAP for pricing and dominates HIP-3 volume. Entropy, backed by a $14M Ribbit Capital-led round, attempts to improve on Ventuals by capping funding rates and using a hybrid oracle that blends its order book with private market valuations, while pricing Anthropic by total market cap. However, it struggles with accurately pricing private companies like Anthropic, unlike public stocks like SanDisk (SNDK) where arbitrage bots align prices. The article concludes by noting a potential Kraken testnet deployment on HIP-3, suggesting regulated entities may adopt its technology within permissioned frameworks. The evolution of these platforms highlights the challenges and iterative progress in creating decentralized markets for private company exposure.

marsbit1h ago

Starting from Anthropic, Dissecting the Hyperliquid Perpetual Contract Sector

marsbit1h ago

Trading

Spot

Hot Articles

How to Buy DJT

Welcome to HTX.com! We've made purchasing Trump Media and Technology Group Corp. (DJT) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Trump Media and Technology Group Corp. (DJT) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Trump Media and Technology Group Corp. (DJT)After purchasing your Trump Media and Technology Group Corp. (DJT), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Trump Media and Technology Group Corp. (DJT)Easily trade Trump Media and Technology Group Corp. (DJT) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

691 Total ViewsPublished 2026.08.26Updated 2026.08.26

How to Buy DJT

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of A (A) are presented below.

活动图片