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Defi.app (HOME) падение

История падения HOME

За последний год было зафиксировано суточное падение HOME на 5% 58 раз, на 10% 17 раз и на 20% 5 раз.

График цены HOME в реальном времени (HOME/USD)

Последнее обновление:

  • 1 ч.
  • 24 ч.
  • 1 нед.
  • 1 мес.
  • 1 год
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История падения HOME за сутки (>5%)

Отслеживайте движения цены HOME и основные моменты падения на HTX, с помощью последних 10 записей.Просматривайте еще больше данных о ценах HOME

ДатаКриптовалютаСлучай №ЦенаИзм. за 24ч
2026/08/13Defi.app (HOME)58$0,00996-8,87%
2026/08/10Defi.app (HOME)57$0,00871-26,19%
2026/08/04Defi.app (HOME)56$0,00943-9,06%
2026/08/02Defi.app (HOME)55$0,0075-10,82%
2026/07/28Defi.app (HOME)54$0,00513-10,16%
2026/07/26Defi.app (HOME)53$0,00592-6,03%
2026/07/24Defi.app (HOME)52$0,00632-6,23%
2026/07/20Defi.app (HOME)51$0,00674-11,32%
2026/07/17Defi.app (HOME)50$0,00745-12,66%
2026/07/16Defi.app (HOME)49$0,00854-27,99%

История падения HOME за сутки (>10%)

Отслеживайте движения цены HOME и основные моменты падения на HTX, с помощью последних 10 записей.Просматривайте еще больше данных о ценах HOME

ДатаКриптовалютаСлучай №ЦенаИзм. за 24ч
2026/08/10Defi.app (HOME)17$0,00871-26,19%
2026/08/02Defi.app (HOME)16$0,0075-10,82%
2026/07/28Defi.app (HOME)15$0,00513-10,16%
2026/07/20Defi.app (HOME)14$0,00674-11,32%
2026/07/17Defi.app (HOME)13$0,00745-12,66%
2026/07/16Defi.app (HOME)12$0,00854-27,99%
2026/07/15Defi.app (HOME)11$0,01185-13,94%
2026/06/29Defi.app (HOME)10$0,01705-13,19%
2026/06/19Defi.app (HOME)9$0,02263-11,6%
2026/06/14Defi.app (HOME)8$0,02548-13,8%

История падения HOME за сутки (>20%)

Отслеживайте движения цены HOME и основные моменты падения на HTX, с помощью последних 10 записей.Просматривайте еще больше данных о ценах HOME

ДатаКриптовалютаСлучай №ЦенаИзм. за 24ч
2026/08/10Defi.app (HOME)5$0,00871-26,19%
2026/07/16Defi.app (HOME)4$0,00854-27,99%
2026/06/06Defi.app (HOME)3$0,03214-33,7%
2026/06/04Defi.app (HOME)2$0,04285-23,65%
2026/06/02Defi.app (HOME)1$0,04056-22,82%

Статьи

Shing-Tung Yau Invites Wang Hong and Deng Yu to Teach Back Home, After 20 Years of Rivalry, Tsinghua and Peking University Realize the Opponent Isn't Each Other

On July 23, the Fields Medal, the highest global mathematics award, was awarded to two Chinese mathematicians, Wang Hong and Deng Yu, both undergraduate classmates from Peking University's class of 2007. This marks the first time mathematicians who completed their undergraduate studies in mainland China have won the prize, with two laureates in the same year. Following the announcement, renowned mathematician Shing-Tung Yau publicly invited Wang and Deng to return to China to teach at Tsinghua University's Qiuzhen College. This invitation is the latest episode in a decades-long rivalry between Tsinghua and Peking University (PKU) for supremacy in Chinese mathematics. The competition traces back to a 1952 national university restructuring that transferred Tsinghua's entire mathematics department to PKU, leaving Tsinghua without a math program for nearly 30 years until its reinstatement in 1979. The rivalry intensified in 2005 with a public falling-out between Yau and his former student, PKU professor Gang Tian. Subsequently, Yau shifted his efforts to building Tsinghua's mathematics program from the ground up. He established the Yau Mathematical Sciences Center in 2009 and founded the Qiuzhen College in 2021, implementing an elite, accelerated "Math Leadership Program" to recruit prodigies as young as middle school students. The competition spans multiple fronts: recruiting top junior high and high school students from math olympiads, luring renowned scholars from overseas, and securing research funding. A new and fierce battleground has emerged in AI and mathematical reasoning. Both universities are heavily investing in AI research to enhance large language models' mathematical capabilities, with Tsinghua collaborating on projects like the STARE algorithm and PKU developing specialized models for geometry. Despite the intense competition, this rivalry has arguably elevated China's overall standing in mathematics. Chinese mathematicians now frequently publish in top journals and win major international awards. At the recent 17th Yau College Students Mathematics Contests, PKU students swept the top individual awards. Yau, presenting the awards, emphasized the need for inter-university collaboration to advance Chinese mathematics. The landscape is now shifting with the rise of AI in mathematical research. As AI begins to generate proofs at an unprecedented rate, the traditional metrics of competition between institutions may become less relevant. The future for mathematicians, as noted by Terence Tao, is navigating an era of "proof surplus" driven by AI, presenting a new common challenge that transcends university rivalries.

Shing-Tung Yau Invites Wang Hong and Deng Yu to Teach Back Home, After 20 Years of Rivalry, Tsinghua and Peking University Realize the Opponent Isn't Each Other - marsbit

Stock Trading Has Become 'Crypto Trading', Welcome Back to the Native Home

"Stock Trading Becomes 'Coin Trading': A Market's Bizarre Reversal" The global stock market, particularly in tech sectors, is undergoing a radical transformation, increasingly mirroring the volatile, narrative-driven mechanics of the cryptocurrency world. This shift was starkly illustrated by the dramatic crash of South Korea's KOSPI index in July 2026, where leveraged ETFs tied to stocks like SK Hynix triggered massive, rapid liquidations, devastating hundreds of thousands of retail investors, many of them young. This "crypto-fication" of equities began as disillusioned cryptocurrency traders migrated to stock markets, bringing with them their speculative playbook: chasing high-beta narratives like AI and semiconductor cycles, relying on social media for investment cues, and employing heavy leverage. Ironically, while these traders sought the perceived safety of stocks with fundamentals, their methods turned parts of the equity market—especially in Korea, the US, and Japan—into arenas of extreme speculation. Stocks like SK Hynix experienced price collapses ("halving") in just over a month, a pace even faster than Bitcoin's historical crashes. The core of this change is the primacy of narrative over traditional valuation. Complex company analysis is reduced to viral slogans about AI's infinite demand, driving concentrated inflows into thematic sectors. This is amplified by leverage, particularly through risky single-stock leveraged ETFs, which create vicious cycles of forced selling during downturns. Meanwhile, social media algorithms promote stories of overnight riches, drawing in inexperienced investors. In a paradoxical twist, Bitcoin, through institutional adoption and ETFs, is becoming relatively more stable, with its volatility now sometimes lower than major tech stocks. The market has reached an absurd crossover: stocks are acting like speculative crypto assets, while crypto strives for the legitimacy of traditional finance. The article concludes that this represents a "degeneration" of market rationality, where trading a story's heat has supplanted investing in future profits, leaving a trail of financial wreckage in its wake.

Stock Trading Has Become 'Crypto Trading', Welcome Back to the Native Home - marsbit

According to Federal Authorities, FBI Agent in Charge of Hunting Spies Stole $1 Million in Cryptocurrency from His Own Suspect

FBI agent Patrick Stephen Yaroch, who specialized in counterintelligence and espionage cases, was arrested for stealing approximately $1.18 million in cryptocurrency from a foreign national security suspect. Yaroch, who had access to high-level intelligence systems, allegedly found the suspect's wallet seed phrases during an investigation in late 2024/early 2025. Using these phrases, he transferred funds to his own controlled wallets over 10-12 transactions. The investigation began when Yaroch confessed his actions to a DOJ official in July 2025, stating poor decisions had "eaten away at him." The FBI tracked the funds to accounts on Kraken and the Suilend DeFi protocol, later seizing about $925,000. Investigators also found ChatGPT discussions on retiring abroad with the money and undisclosed travel plans to Portugal. Yaroch was fired by the FBI and faces federal charges of transporting and selling stolen property.

According to Federal Authorities, FBI Agent in Charge of Hunting Spies Stole $1 Million in Cryptocurrency from His Own Suspect - cryptonews.ru

Home Furnishing Listed Companies Are Trying to Turn Around with AI and Semiconductors

Chinese home furnishing listed companies are increasingly turning to AI and semiconductor cross-border ventures to revive their fortunes amid declining core businesses. A prominent example is PVC flooring giant **Elegant Home Furnishing**, whose stock price skyrocketed with 10 consecutive trading limits after announcing a plan to acquire a majority stake in **Ou Kang Nuo**, a semiconductor storage testing equipment and services company. Despite Elegant Home's own financial struggles—including recent losses and tight cash flow—the acquisition, funded through asset sales and loans, has dramatically boosted its market value. The deal involves a cross-shareholding structure with Ou Kang Nuo's controlling shareholder. This trend is widespread. Over the past year, numerous home furnishing firms with stagnant main operations have seen their stock prices surge after announcing moves into hot sectors like AI, semiconductors, or computing power. Key cases include: * **Markor Home Furnishings** ("high-end home furnishing first share"), after years of heavy losses, acquired an AI server high-speed copper cable company and later introduced AI computing power investors. * **Zhenai Meijia** ("blanket king") became the first A-listed manufacturer controlled by an AI large model company following a takeover. * **Fasilon** (integrated ceiling) saw its stock soar after establishing an AI subsidiary. * **Jinlong Decoration** experienced multiple trading limits after being linked to "commercial aerospace" and "AI computing," despite clarifying these segments contribute less than 1% of its business. Statistics show over 20 A-share companies announced semiconductor crossovers in 2025, with home furnishing and building materials firms being the most active. This shift is largely driven by pressures from the real estate downturn, shrinking overseas demand, and trade tariffs, pushing companies to seek growth through trendy concepts rather than core business improvement. However, the article warns that such speculative frenzies often end when the hype fades, leaving stock prices to eventually reflect the companies' weak fundamentals, as seen in Jinlong Decoration's subsequent sharp price correction. The repeated attempts to "ride the trend" highlight a desperate struggle for survival in a challenging traditional industry.

Home Furnishing Listed Companies Are Trying to Turn Around with AI and Semiconductors - marsbit

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