REX Shares, Tuttle запускают 2X long/short MicroStrategy ETF

cryptonews.ruPublished on 2021-06-19Last updated on 2024-09-19

Управляющие активами REX Shares и Tuttle Capital Managed совместно запустили два биржевых фонда (ETF), предназначенных для обеспечения кредитного плеча в доходности акций MicroStrategy (MSTR), согласно объявлению от 18 сентября.

Новые ETF — T-REX 2X Long MSTR Daily Target ETF (MSTU) и T-REX 2X Inverse MSTR Daily Target ETF (MSTZ) — нацелены на кредитное плечо в 2X по длинным и коротким позициям в MSTR соответственно, сообщили REX и Tuttle.

Запуски ETF следуют за запуском аналогичного ETF в августе конкурирующим эмитентом Defiance ETF, который продемонстрировал высокий спрос среди розничных инвесторов на кредитное плечо в MSTR.

Новые участники могут спровоцировать «гонку вооружений острым соусом», — сказал Эрик Балчунас, аналитик Bloomberg Intelligence ETF, в сообщении от 18 сентября на платформе X.


Источник: Эрик Балчунас.

В августе конкурирующий эмитент Defiance ETFs запустил первый кредитный MSTR ETF, Defiance Daily Target 1.75X Long MSTR ETF (MSTX). Он стремится обеспечить 175%-ное воздействие на результаты MSTR.

ETF Defiance показал объем в размере 22 миллионов долларов в первый день торгов, «что может стать рекордом первого дня для кредитного ETF», — сказал Эрик Балчунас, аналитик Bloomberg Intelligence ETF, в сообщении от 15 августа на платформе X.

«Конкурирующие ETF REX и Tuttle обойдут 1,75x MSTR Defiance (который стал мгновенным хитом)» и «обеспечат волатильность, которая, по оценкам, будет примерно в 15 раз выше, чем у SPX», — сказал Балчунас.


MSTX уже имеет более 186 миллионов долларов чистых активов. Источник: Defiance ETFs

Изначально компания бизнес-аналитики, MicroStrategy превратилась в фактический криптовалютный хедж-фонд в 2020 году, когда ее основатель Майкл Сэйлор начал использовать баланс компании для покупки биткоинов.

1 августа MicroStrategy приняла новый ориентир для корпоративной эффективности: «доходность биткоинов», меру BTC на акцию. Ее цель — использовать свой баланс для накопления BTC на условиях, выгодных акционерам.

16 сентября MicroStrategy объявила о планах выпустить 700 миллионов долларов в долг, частично для покупки большего количества BTC.

ETF с кредитным плечом добавляют дополнительный риск для MSTR и, как правило, не оправдывают ожиданий по ежедневным ребалансировкам для поддержания целевого кредитного плеча. Они также обычно держат финансовые деривативы, а не базовые акции.

ETF «предоставляют трейдерам мощный набор инструментов для взаимодействия с компанией, которая расширяет границы цифровых активов», — сказал Грег Кинг, генеральный директор REX Financial, материнской компании REX Shares, в своем заявлении.

Related Reads

When Meme Traffic Meets RWA: The Financial Ambitions of Hyperliquid and Robinhood

When Meme traffic meets RWA: Hyperliquid and Robinhood's Financial Ambitions This article explores the transformative role of speculation in financial market evolution, arguing it can provide the liquidity and capital foundation for mature, compliant businesses. The analysis draws parallels to historical examples, like 19th-century Chicago grain markets, where speculators provided necessary counterparty liquidity for farmers, eventually establishing a global pricing infrastructure. The author examines contemporary cases in crypto. The launch of Uniswap's Pools meme token platform on Robinhood Chain—originally built for tokenized stock trading—demonstrates how speculative meme trading can drive significant user adoption and liquidity. Despite initial volatility, this traffic can seed future, more substantial financial activities. Similarly, Hyperliquid, which began with high-leverage crypto trading, has successfully migrated its speculative model to real-world assets (RWAs) like equities, commodities, and indices. By July, RWA perpetual contract volumes on Hyperliquid surpassed its crypto trading for the first time, showcasing how speculation can build new, all-weather pricing layers. The core thesis is that speculation itself is neutral. Its long-term value and sustainability are determined by the underlying assets it engages with. While pure bubbles collapse, speculation anchored to valuable assets—be it wheat, gold, or equities—can evolve into foundational market infrastructure. Both Hyperliquid’s RWA platform and Robinhood’s strategy of leveraging meme coin enthusiasm to build towards on-chain securities trading exemplify this potential pathway from speculative frenzy to structured financial utility.

marsbit22m ago

When Meme Traffic Meets RWA: The Financial Ambitions of Hyperliquid and Robinhood

marsbit22m ago

NVIDIA HBM in Short Supply, Next-Gen GPUs Limited, but This Storage Drive Steals the Spotlight

The article discusses how AI Agents are transforming storage from a passive repository into an active component within AI inference and operation loops. As Agents perform continuous tasks involving models, memory, tools, and logs, data storage needs to evolve beyond simple block devices. The concept of "functional SSDs" is introduced, where capabilities like automatic encryption, compression, indexing, and memory management are embedded closer to the storage medium. This shift is driven by the need to handle Agent-specific data chains—including context, tool trajectories, and long-term memory—more efficiently. The piece analyzes current trends like AI SSDs from companies such as Phison (aiDAPTIV), Longsys (SPU+iSA), and Maxio, which are beginning to participate in the AI data path by managing model weights, KV cache, and prefetching. It further explores the future re-division of labor across the memory hierarchy: HBM for core compute, emerging High Bandwidth Flash (HBF) for read-intensive workloads, DRAM/CXL for mutable state, and functional SSDs for persistent, governed objects like Agent Memory. The conclusion is that storage will become integral to Agent capability, moving from just saving data to enabling next-step actions. The industry is poised to develop along three paths: functionalized SSDs, storage nodes tailored for Agents, and a re-architected, tiered memory system optimized for access patterns, security, and cost-per-token efficiency.

marsbit46m ago

NVIDIA HBM in Short Supply, Next-Gen GPUs Limited, but This Storage Drive Steals the Spotlight

marsbit46m ago

Breaking: Claude's Attempt on Riemann Hypothesis "Fails," but Accidentally Sets 37-Year Math Record

**AI Makes a Major Mathematical Leap While Failing at the Riemann Hypothesis** A research version of Anthropic's Claude AI was tasked with "seriously attempting" the legendary Riemann Hypothesis, a 167-year-old unsolved problem in mathematics. While it ultimately did not prove the hypothesis, its attempt yielded a significant breakthrough. Claude managed to improve the proven lower bound for the proportion of Riemann zeta function zeros lying on the critical line from 41.6% to 67.2%. This marks a 25.6 percentage point increase, described by observers as potentially the most substantial advance in analytic number theory in over a decade, considering that the previous record had only improved by 0.8 percentage points over 37 years. To achieve this, Claude generated and discarded roughly 650 initial ideas before orchestrating a day-and-a-half-long effort involving about 60 sub-agents. These agents executed 2,400 shell commands, wrote hundreds of Python scripts, and performed thousands of numerical checks. After finding the potential result, Claude initiated self-verification, downloaded papers to check for prior work, and independently re-derived the finding. It then suggested writing a formal paper. The result has been reviewed by Anthropic's internal mathematicians, who also collaborated with Claude to produce a formal, machine-checkable proof using the Lean theorem prover. External experts in the field have also reviewed the manuscript. Anthropic clarifies that the method likely does not directly lead to a full proof of the Riemann Hypothesis, but it demonstrates that advanced AI models are beginning to engage with genuine, open-ended research problems at the frontier of mathematical knowledge.

marsbit52m ago

Breaking: Claude's Attempt on Riemann Hypothesis "Fails," but Accidentally Sets 37-Year Math Record

marsbit52m ago

The Unaffordable Failure of Yushu's IPO

Yushu Robotics' IPO is not just a typical public offering; it represents a pivotal moment for China's humanoid robot industry. With a staggering 219x P/E ratio at issuance and immense market enthusiasm, the company's listing is seen as a critical test case for the entire sector. The IPO reveals Yushu's rapid transition from quadruped consumer robots to humanoid robots, which now account for over 50% of its revenue, alongside a shift to profitability. The offering was massively oversubscribed, with retail investors scrambling for scarce shares, while the majority of the stock is held by locked-up strategic investors like DeepSeek. The core tension lies in the market's valuation. Investors are not buying Yushu's current profits but its future potential as a leader in general-purpose humanoid hardware. However, challenges are evident: revenue heavily depends on research/education clients rather than industrial applications, selling prices are falling faster than costs, and the company is still developing its own AI "brain" for true autonomous decision-making. As the first major humanoid robot company on China's A-share market, Yushu's post-listing performance will set a valuation benchmark for the industry. A wide range of stakeholders, from venture capitalists to strategic partners, have a vested interest in its success. The real test, however, will be Yushu's ability to transition its sales to core industrial clients, maintain margins amid price competition, and successfully integrate advanced AI, thereby justifying its premium valuation.

marsbit1h ago

The Unaffordable Failure of Yushu's IPO

marsbit1h ago

Trading

Spot
活动图片