Сильно подешевевший Pi Network подорожал вдвое за считанные часы

investing.ruPublicado a 2025-04-06Actualizado a 2025-04-06

Happycoin.club - Токен Pi Network (PI), сильно подешевевший после выпуска в феврале 2025 года, подорожал вдвое за считанные часы и выбрался из глубокой ямы.

Цену Pi Network начали пампить 5 апреля в 07:00 по Москве, и уже к 14:00 она повысилась почти на 101%. Затем произошла коррекция, в рамках которой стоимость криптовалюты упала на треть, но в ходе бычьего тренда курс монеты пробил линию нисходящей тенденции, стартовавшей 13 марта, и закрепился над ней. Поэтому возможны два сценария развития событий:

  • PI продолжит дорожать, пока его курс не достигнет хотя бы $0,8;
  • Цена Pi Network сначала снизится до линии медвежьего тренда в районе $0,5, оттолкнётся от неё и пойдёт вверх к $0,68.
  • Вероятное изменение стоимости Pi Network

    Разработчик софта и PI-энтузиаст Косаси Накамото придерживается негативного прогноза, заявляя:

    Общий тренд остаётся медвежьим, потому что цена колеблется ниже ключевых уровней сопротивления (например, в диапазоне $0,6475–0,65), и ей не удалось преодолеть значимые скользящие средние или линии тенденций.

    Объём торгов уменьшается во время медвежьего тренда с небольшими всплесками активности. Основная масса недавних свеч были немного большего объёма, что может указывать на рост интереса со стороны покупателей.

    Тем не менее Косаси высоко оценивает потенциал Pi Network в долгосрочной перспективе и считает, что падение курса криптовалюты на 87% от пикового показателя на отметке $3 оздоровило рынок, вытеснив с него спекулянтов. Если команда проекта преуспеет в сфере создания устойчивой экосистемы и повышения практической ценности PI, то стоимость монеты неминуемо вырастет и владельцы активов заработают прибыль.

    Читайте оригинальную статью на сайте Happycoin.club

    Lecturas Relacionadas

    Jensen Huang's Daughter: From Chef to an $8 Million Annual Salary

    Madison Huang, daughter of NVIDIA founder Jensen Huang, recently made a rare public appearance in Beijing during the 2026 World Robot Conference. As the Senior Director of Product and Technology Marketing for NVIDIA's Physical AI Platform, with an annual salary of approximately $1.2 million, her visit focused on evaluating leading Chinese robotics companies like UBTech, Unitree, and others. This highlights NVIDIA's strategic interest in the burgeoning Chinese robotics ecosystem, a key battleground for the development of Physical AI—technology that enables machines to understand and interact with the physical world. Huang's career path is unconventional. Initially pursuing her passion, she studied culinary arts, worked as a chef, and later held a marketing role at LVMH. She joined NVIDIA as an intern in 2020 after completing an MBA, quickly rising through the ranks. Her brother, Spencer Huang, followed a similar path, closing a cocktail bar he co-founded to also join NVIDIA, where he now works on robotics software. Jensen Huang has publicly addressed nepotism concerns, humorously noting that some "second-generation" employees outperform their parents. The conference itself underscored China's vibrant robotics sector, marked by Unitree's recent blockbuster IPO and a pipeline of companies preparing to go public. While hardware development and manufacturing are advancing rapidly, industry leaders like Wang Xingxing of Unitree point to the next critical challenge: developing the "brain" or AI that allows robots to perform diverse, unseen tasks based on simple instructions. With massive manufacturing scale and diverse real-world testing scenarios, China is positioned as a central player in the global race to define the future of robotics.

    marsbitHace 1 hora(s)

    Jensen Huang's Daughter: From Chef to an $8 Million Annual Salary

    marsbitHace 1 hora(s)

    He Gave Wang Xingxing the First 2 Million, Now Serves as Chairman for the Next 'Unitree'

    On August 19, 2024, Unitree Robotics, China's "first humanoid robotics stock," went public. Its founder, Wang Xingxing, started a decade ago with his self-developed XDog. In 2016, at a critical funding juncture, he received his first angel investment of 2 million RMB from Yin Fangming. This bet has since yielded a return of over 140 times. Yin Fangming is more than just a key investor. He was a co-founder of the AI robotics company ROOBO, whose own venture ultimately struggled. This firsthand experience with the hardware challenges in robotics gave him unique insight when backing Unitree, a company renowned for its hardware R&D and cost control. While his own company faltered, Yin continued investing shrewdly. He partially cashed out some Unitree shares early, reinvesting the proceeds into sectors like energy (e.g., solid-state battery firm TaiLan) and commercial aerospace (e.g., small launch vehicle developer XianDeng Aerospace). However, his most significant move after Unitree is his deep involvement with Galaxy General, a leading embodied AI unicorn. In July 2024, Yin stepped from behind the scenes to officially become its Chairman, indicating a role far beyond a typical investor. This comes as Galaxy General is viewed as preparing for future capital moves. Yin's career has consistently been ahead of the curve—from mobile internet to AI and robotics. Known for his foresight and low profile, he declined an interview for this story, offering only a statement encouraging support for visionary entrepreneurs like Wang Xingxing.

    marsbitHace 2 hora(s)

    He Gave Wang Xingxing the First 2 Million, Now Serves as Chairman for the Next 'Unitree'

    marsbitHace 2 hora(s)

    Coldcard Theft Reflection: Source Code Visibility Does Not Equal Security

    The article examines the open-source vs. closed-source debate in crypto, prompted by a theft of over $100M in Bitcoin from Coldcard hardware wallets. It clarifies key terminology: true "Free and Open Source Software" (FOSS) grants four essential freedoms (use, study, share, modify), while "source available" code, like Coldcard's firmware, may have usage restrictions. The piece argues that visible source code alone does not guarantee security; actual safety depends on the economic incentives for thorough, ongoing review by skilled individuals. Using Bitcoin Core as a model, the article describes a successful, transparent open-source development culture built on public review and consensus. It contrasts this with the Coldcard case, where a critical bug in a lightly-reviewed, source-available library went undetected for years, highlighting a "tragedy of the commons" scenario where assumed but absent scrutiny creates vulnerability. The economics of licensing are crucial: restrictive licenses can limit the pool of motivated commercial reviewers. Finally, the article explores AI's impact. It cites the Bitcoin Red Team's use of AI to rapidly audit codebases and find vulnerabilities at scale, demonstrating a powerful new tool for security. However, AI also floods projects with low-quality code, straining maintainers. The piece concludes that in high-stakes crypto, only well-audited projects—whether open or closed-source—can withstand evolving threats, with AI both challenging and aiding security practices.

    marsbitHace 2 hora(s)

    Coldcard Theft Reflection: Source Code Visibility Does Not Equal Security

    marsbitHace 2 hora(s)

    Trading

    Spot
    活动图片