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Treatの価格

Treatの‌価格TREAT

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注:この情報はあくまでも参考情報です。

今日のTreatの価格

Treat の今日の現在価格は、(TREAT / JPY)あたり¥0.7249 で、現在の時価総額は-- JPYです。24時間の取引量は¥0.00 JPYです。TREATからJPYの価格はリアルタイムで更新されています。Treat は0.83%過去24時間で変動しました。循環供給は-- です。

TREATの最高価格はいくらですか?

TREATの過去最高値(ATH)はに記録された¥23.37です。

TREATの最安価格はいくらですか?

TREATの過去最安値(ATL)はに記録され¥0.1498です。
Treatの利益を計算する

Treatの価格予測

2026年のTREATの価格はどうなる?

TREATの過去の価格パフォーマンス予測モデルによると、TREATの価格は2026年に¥0.00に達すると予測されます。

2031年のTREATの価格はどうなる?

2031年には、TREATの価格は+32.00%変動する見込みです。 2031年末には、TREATの価格は¥0.00に達し、累積ROIは-100.00%になると予測されます。

Treatの価格履歴(JPY)

Treatの価格は、この1年で+384.00%を記録しました。直近1年間のJPY建てTREATの最高値は¥23.37で、直近1年間のJPY建てTREATの最安値は¥0.1498でした。
時間価格変動率(%)価格変動率(%)最低価格対応する期間における{0}の最低価格です。最高価格 最高価格
24h+0.83%¥0.7114¥0.7294
7d-10.04%¥0.7084¥0.8792
30d-22.68%¥0.6905¥1.37
90d+384.00%¥0.1498¥23.37
1y+384.00%¥0.1498¥23.37
すべての期間+384.00%¥0.1498(--, 今日 )¥23.37(--, 今日 )

Treatの市場情報

Treatの時価総額の履歴

時価総額
--
完全希薄化の時価総額
--
マーケットランキング
Treatを今すぐ購入する

Treat市場

  • #
  • ペア
  • 種類
  • 価格
  • 24時間の取引量
  • 操作
  • 1
  • TREAT/USDT
  • 現物
  • 0.00485
  • $1.33M
  • 取引
  • Treatの集中度別保有量

    大口
    投資家
    リテール

    Treatの保有時間別アドレス

    長期保有者
    クルーザー
    トレーダー
    coinInfo.name(12)のリアル価格チャート
    loading

    Treatの評価

    コミュニティからの平均評価
    4.3
    103の評価
    このコンテンツは情報提供のみを目的としたものです。

    Treat(TREAT)の購入方法

    無料でBitgetアカウントを作成します

    無料でBitgetアカウントを作成します

    Eメールアドレス/携帯電話番号でBitgetに登録し、アカウントを保護するために強力なパスワードを作成します。
    アカウントを認証する

    アカウントを認証する

    個人情報を入力し、有効な写真付き身分証明書をアップロードして本人確認(KYC認証)を行います。
    TreatをTREATに交換

    TreatをTREATに交換

    BitgetでTreatを購入するには、様々なお支払い方法をご利用いただけます。

    TREAT無期限先物を取引する

    Bitgetに登録し、USDTまたはTREATトークンを購入した後、TREAT先物やマージン取引を含むデリバティブ取引を開始することができ、収入を増やすことができます。

    TREATの現在価格は¥0.7249で、24時間の価格変動は+0.83%です。トレーダーはTREAT先物をロングまたはショートすることで利益を獲得できます。

    TREAT先物取引ガイド

    エリートトレーダーをフォローして、TREATのコピートレードを始めましょう。

    Bitgetに登録し、USDTまたはTREATトークンを購入した後、エリートトレーダーをフォローしてコピートレードを開始することもできます。

    よくあるご質問

    Treatの現在の価格はいくらですか?

    Treatのライブ価格は¥0.72(TREAT/JPY)で、現在の時価総額は-- JPYです。Treatの価値は、暗号資産市場の24時間365日休みない動きにより、頻繁に変動します。Treatのリアルタイムでの現在価格とその履歴データは、Bitgetで閲覧可能です。

    Treatの24時間取引量は?

    過去24時間で、Treatの取引量は--です。

    Treatの過去最高値はいくらですか?

    Treat の過去最高値は¥23.37です。この過去最高値は、Treatがローンチされて以来の最高値です。

    BitgetでTreatを購入できますか?

    はい、Treatは現在、Bitgetの取引所で利用できます。より詳細な手順については、お役立ちtreatの購入方法 ガイドをご覧ください。

    Treatに投資して安定した収入を得ることはできますか?

    もちろん、Bitgetは戦略的取引プラットフォームを提供し、インテリジェントな取引Botで取引を自動化し、利益を得ることができます。

    Treatを最も安く購入できるのはどこですか?

    戦略的取引プラットフォームがBitget取引所でご利用いただけるようになりました。Bitgetは、トレーダーが確実に利益を得られるよう、業界トップクラスの取引手数料と流動性を提供しています。

    Treat(TREAT)はどこで買えますか?

    Bitgetアプリで暗号資産を購入する
    数分で登録し、クレジットカードまたは銀行振込で暗号資産を購入できます。
    Download Bitget APP on Google PlayDownload Bitget APP on AppStore
    Bitgetで取引する
    Bitgetに暗号資産を入金し、高い流動性と低い取引手数料をご活用ください。

    動画セクション - 素早く認証を終えて、素早く取引へ

    play cover
    Bitgetで本人確認(KYC認証)を完了し、詐欺から身を守る方法
    1. Bitgetアカウントにログインします。
    2. Bitgetにまだアカウントをお持ちでない方は、アカウント作成方法のチュートリアルをご覧ください。
    3. プロフィールアイコンにカーソルを合わせ、「未認証」をクリックし、「認証する」をクリックしてください。
    4. 発行国または地域と身分証の種類を選択し、指示に従ってください。
    5. 「モバイル認証」または「PC」をご希望に応じて選択してください。
    6. 個人情報を入力し、身分証明書のコピーを提出し、自撮りで撮影してください。
    7. 申請書を提出すれば、本人確認(KYC認証)は完了です。
    Bitgetを介してオンラインでTreatを購入することを含む暗号資産投資は、市場リスクを伴います。Bitgetでは、簡単で便利な購入方法を提供しており、取引所で提供している各暗号資産について、ユーザーに十分な情報を提供するよう努力しています。ただし、Treatの購入によって生じる結果については、当社は責任を負いかねます。このページおよび含まれる情報は、特定の暗号資産を推奨するものではありません。

    ‌購入

    取引

    Bitget Earn

    TREAT
    JPY
    1 TREAT = 0.7249 JPY
    Bitgetは、主要取引プラットフォームの中で最も低い取引手数料を提供しています。VIPレベルが高ければ高いほど、より有利なレートが適用されます。

    TREATの各種資料

    Bitgetインサイト

    AshuBajwaB60
    AshuBajwaB60
    21時
    # __Revolutionizing Mental Health: The Distinction Between Self-Care and Self-Compassion__
    The conversation around mental health has gained significant momentum in recent years, with a growing emphasis on the importance of self-care and self-compassion. While these two concepts are often used interchangeably, they have distinct meanings and implications for our mental well-being. In this article, we'll explore the distinction between self-care and self-compassion, highlighting their differences, benefits, and potential applications. # Defining Self-Care and Self-Compassion Self-care and self-compassion are two related but distinct concepts: 1. *Self-Care*: Self-care refers to the intentional actions we take to care for our physical, emotional, and mental health. This can include activities such as exercise, meditation, and spending time in nature. 2. *Self-Compassion*: Self-compassion, on the other hand, refers to the practice of treating ourselves with kindness, understanding, and acceptance, especially when we make mistakes or experience difficult emotions. # Differences Between Self-Care and Self-Compassion While self-care and self-compassion are related, they have distinct differences: 1. *Focus*: Self-care focuses on taking action to improve our physical and mental well-being, whereas self-compassion focuses on cultivating a kind and accepting relationship with ourselves. 2. *Motivation*: Self-care is often motivated by a desire to achieve a specific goal or outcome, whereas self-compassion is motivated by a desire to cultivate a deeper sense of self-awareness and self-acceptance. 3. *Emotional Tone*: Self-care can sometimes be associated with a sense of obligation or duty, whereas self-compassion is characterized by a sense of warmth, kindness, and understanding. # Benefits of Self-Care and Self-Compassion Both self-care and self-compassion offer numerous benefits for our mental health and well-being: 1. *Reduced Stress and Anxiety*: Self-care and self-compassion can help reduce stress and anxiety by promoting relaxation and calming our nervous system. 2. *Improved Mood*: Self-care and self-compassion can improve our mood by increasing feelings of happiness, joy, and self-worth. 3. *Increased Resilience*: Self-care and self-compassion can increase our resilience by helping us develop a greater sense of self-awareness, self-acceptance, and coping skills. 4. *Better Relationships*: Self-care and self-compassion can improve our relationships by helping us develop greater empathy, understanding, and communication skills. # Potential Applications of Self-Care and Self-Compassion Self-care and self-compassion can be applied in various ways, including: 1. *Mental Health Treatment*: Self-care and self-compassion can be integrated into mental health treatment plans to help individuals manage symptoms of anxiety, depression, and other mental health conditions. 2. *Education and Prevention*: Self-care and self-compassion can be taught in educational settings to promote mental health awareness, prevention, and early intervention. 3. *Workplace Wellness*: Self-care and self-compassion can be incorporated into workplace wellness programs to promote employee well-being, reduce stress, and improve productivity. 4. *Community Development*: Self-care and self-compassion can be integrated into community development initiatives to promote social cohesion, community engagement, and collective well-being. # Conclusion The distinction between self-care and self-compassion is essential for promoting mental health and well-being. While self-care focuses on intentional actions to improve our physical and mental health, self-compassion cultivates a kind and accepting relationship with ourselves. By incorporating both self-care and self-compassion into our daily lives, we can promote greater resilience, well-being, and life satisfaction. # Recommendations 1. *Practice Mindfulness*: Practice mindfulness meditation to cultivate greater self-awareness and self-acceptance. 2. *Engage in Self-Care Activities*: Engage in self-care activities that bring you joy and relaxation, such as exercise, reading, or spending time in nature. 3. *Treat Yourself with Kindness*: Treat yourself with kindness, understanding, and acceptance, especially when you make mistakes or experience difficult emotions. 4. *Seek Support*: Seek support from friends, family, or mental health professionals when needed. 5. *Prioritize Self-Compassion*: Prioritize self-compassion in your daily life, recognizing that it is essential for promoting mental health and well-being.
    TREAT-2.21%
    Miles Deutscher_
    Miles Deutscher_
    1日
    1. Thinking in bets Treat every trade or investment as a probability-based decision. You can theoretically do everything right and still lose - what matters is the process itself, not the outcome.
    TREAT-2.21%
    AshuBajwaB60
    AshuBajwaB60
    1日
    # __Revolutionizing Healthcare: The Future of 3D Printing in Medicine__
    _ The healthcare sector is on the cusp of a revolution, driven by the increasing adoption of 3D printing technology. 3D printing is transforming the way we diagnose, treat, and prevent diseases, making healthcare more personalized, efficient, and effective. In this article, we'll explore the future of 3D printing in medicine, highlighting its benefits, challenges, and potential applications. # Benefits of 3D Printing in Medicine 3D printing offers several benefits, including: 1. *Personalized Medicine*: 3D printing enables personalized medicine, tailoring treatments to individual patients' needs and characteristics. 2. *Improved Diagnostic Accuracy*: 3D printing improves diagnostic accuracy, enabling clinicians to create detailed models of organs and tissues. 3. *Enhanced Surgical Planning*: 3D printing enhances surgical planning, enabling clinicians to practice and rehearse complex procedures. 4. *Increased Efficiency*: 3D printing increases efficiency, reducing the time and cost associated with traditional manufacturing methods. 5. *Improved Patient Outcomes*: 3D printing improves patient outcomes, enabling clinicians to create customized prosthetics, implants, and surgical guides. # Challenges of 3D Printing in Medicine 3D printing also faces several challenges, including: 1. *Regulatory Frameworks*: 3D printing raises regulatory concerns, including issues related to safety, efficacy, and quality control. 2. *Standardization*: 3D printing requires standardization, ensuring that printed models and devices meet strict quality and safety standards. 3. *Cost*: 3D printing can be expensive, requiring significant investment in equipment, materials, and personnel. 4. *Training and Education*: 3D printing requires training and education, enabling clinicians and researchers to effectively design, print, and use 3D models and devices. 5. *Cybersecurity*: 3D printing raises cybersecurity concerns, including the risk of data breaches, hacking, and other cyber threats. # Applications of 3D Printing in Medicine 3D printing is being applied in various ways, including: 1. *Prosthetics and Implants*: 3D printing is being used to create customized prosthetics and implants, improving patient outcomes and quality of life. 2. *Surgical Guides and Models*: 3D printing is being used to create surgical guides and models, enhancing surgical planning and reducing complications. 3. *Tissue Engineering*: 3D printing is being used in tissue engineering, creating artificial tissues and organs for transplantation and research. 4. *Pharmaceuticals*: 3D printing is being used in pharmaceuticals, creating customized pills and capsules with specific release profiles. 5. *Medical Devices*: 3D printing is being used to create medical devices, including stents, valves, and other implantable devices. # Conclusion The future of healthcare is 3D printing, offering a more personalized, efficient, and effective way of diagnosing, treating, and preventing diseases. While 3D printing faces several challenges, including regulatory frameworks, standardization, and cost, the benefits of 3D printing, including personalized medicine, improved diagnostic accuracy, and enhanced surgical planning, make it an attractive option for many healthcare providers and organizations. # Recommendations 1. *Invest in 3D Printing Research and Development*: Invest in research and development to improve the accuracy, efficiency, and effectiveness of 3D printing in medicine. 2. *Develop Regulatory Frameworks*: Develop regulatory frameworks to govern the use of 3D printing in medicine, ensuring safety, efficacy, and quality control. 3. *Establish Standardization and Quality Control*: Establish standardization and quality control processes to ensure that 3D printed models and devices meet strict quality and safety standards. 4. *Provide Training and Education*: Provide training and education to clinicians and researchers, enabling them to effectively design, print, and use 3D models and devices. 5. *Address Cybersecurity Concerns*: Address cybersecurity concerns, including the risk of data breaches, hacking, and other cyber threats.
    TREAT-2.21%
    CYBER-6.61%
    COINSTAGES
    COINSTAGES
    2日
    Michael Saylor’s Bitcoin Strategy: A Vision for Crypto Dominance!
    On March 27, 2025, Michael Saylor, the visionary co-founder and Executive Chairman of Strategy (formerly MicroStrategy), continues to make headlines with his unrelenting Bitcoin strategy. Known for transforming his company into the world’s largest corporate holder of Bitcoin, Saylor’s latest moves and bold predictions are reshaping how the market views the leading cryptocurrency. As of today, Strategy holds over 506,137 BTC, and Saylor shows no signs of slowing down. A Relentless Bitcoin Acquisition Playbook Saylor’s approach is as audacious as it is methodical. This week, Strategy announced the purchase of an additional 6,911 BTC for $584.1 million, acquired at an average price of $84,529 per Bitcoin. This brings the company’s total holdings to 506,137 BTC, valued at over $44 billion, representing roughly 2.4% of Bitcoin’s 21 million total supply. The purchase was funded through a recent $722.5 million sale of Perpetual Strife Preferred Stock (STRF), a financial instrument Saylor has leveraged to fuel his Bitcoin stockpiling. Since adopting Bitcoin as a treasury reserve asset in 2020, Strategy has used a mix of debt, equity, and stock offerings to amass its colossal holdings. Saylor’s philosophy is clear: treat Bitcoin as “digital gold” and a hedge against inflation, while capitalizing on market dips to buy more. “We’ve built an indestructible balance sheet,” Saylor recently told CoinDesk. “Even if Bitcoin drops 99%, there’s no margin call coming.” Four Pillars of Saylor’s Vision Analysts and Saylor himself have outlined key elements of his Bitcoin strategy, which he believes could propel the asset to a $200 trillion market cap by 2045: Corporate Adoption: Strategy’s success has inspired others, like GameStop, which is rumored to be raising $1.3 billion to follow a similar Bitcoin treasury model. Saylor sees this as the start of a corporate “Bitcoin arms race.” U.S. Strategic Reserve: Saylor advocates for the U.S. to establish a Strategic Bitcoin Reserve, estimating its value could range from $3 trillion to $106 trillion over the next two decades. He argues this would cement Bitcoin’s status as a global reserve asset. Personal Legacy: In a surprising twist, Saylor has hinted at burning his private Bitcoin keys before his death as a form of “decentralized charity,” reducing supply and boosting value for remaining holders a move likened to Satoshi Nakamoto’s mysterious exit. Market Influence: By relentlessly buying BTC Strategy’s latest haul pushed its year-to-date BTC yield to 7.7% Saylor drives institutional interest and bullish sentiment, amplified by ETF inflows and a market cap nearing $3 trillion. Market Reactions and Criticism Saylor’s strategy has polarized opinions. Supporters laud his first-mover advantage, noting that Strategy’s stock has soared nearly 2,200% since 2020, outpacing many tech giants. Posts on X praise his foresight, with some calling him “the architect of Bitcoin’s corporate era.” Critics, however, like Peter Schiff, argue that this demand is speculative, fueled by hype over a U.S. reserve rather than fundamentals. Schiff has dismissed the reserve idea as a “scam” to lure retail investors. Despite the debate, Bitcoin’s price remains robust, trading above $87,000 today, buoyed by Strategy’s purchases and broader market optimism. Saylor’s influence extends beyond his company, with firms like Metaplanet in Japan mirroring his playbook and reaping rewards. What’s Next for Saylor and Bitcoin? Saylor shows no signs of retreat. With plans to raise up to $21 billion more for Bitcoin buys, Strategy aims to solidify its position as a crypto titan. His cryptic X post this week “Everyone wants a winning strategy” hints at his belief that Bitcoin is the ultimate asset for the 21st century. Whether his vision of a $200 trillion BTC economy materializes, or his aggressive bets falter under market turbulence, one thing is certain: Michael Saylor has redefined corporate crypto strategy. Will Bitcoin hit Saylor’s lofty targets, or will the skeptics prevail? As of 9:12 PM WIB, the crypto world remains captivated by his next move. #bitcoin
    BTC-2.33%
    X-1.88%
    AshuBajwaB60
    AshuBajwaB60
    2日
    # __Revolutionizing Healthcare: The Future of Artificial Intelligence and Machine Learning__
    The healthcare sector is on the cusp of a revolution, driven by the increasing adoption of artificial intelligence (AI) and machine learning (ML). AI and ML are transforming the way we diagnose, treat, and prevent diseases, making healthcare more personalized, efficient, and effective. In this article, we'll explore the future of AI and ML in healthcare, highlighting their benefits, challenges, and potential applications. # Benefits of Artificial Intelligence and Machine Learning in Healthcare AI and ML offer several benefits, including: 1. *Improved Diagnostic Accuracy*: AI and ML can analyze large amounts of medical data, improving diagnostic accuracy and reducing errors. 2. *Personalized Medicine*: AI and ML can help personalize treatment plans, tailoring them to individual patients' needs and characteristics. 3. *Streamlined Clinical Workflows*: AI and ML can automate routine tasks, freeing up clinicians to focus on more complex and high-value tasks. 4. *Enhanced Patient Engagement*: AI and ML can enable patients to take a more active role in their healthcare, providing them with personalized health advice and support. 5. *Reduced Healthcare Costs*: AI and ML can help reduce healthcare costs, minimizing unnecessary tests, procedures, and hospitalizations. # Challenges of Artificial Intelligence and Machine Learning in Healthcare AI and ML also face several challenges, including: 1. *Data Quality and Integration*: AI and ML require high-quality, integrated data, which can be difficult to obtain in healthcare. 2. *Regulatory Frameworks*: AI and ML raise regulatory concerns, including issues related to data privacy, security, and informed consent. 3. *Clinical Validation*: AI and ML require clinical validation, ensuring that they are safe, effective, and reliable in real-world clinical settings. 4. *Cybersecurity*: AI and ML raise cybersecurity concerns, including the risk of data breaches, hacking, and other cyber threats. 5. *Workforce Disruption*: AI and ML may disrupt the healthcare workforce, requiring clinicians to develop new skills and adapt to new technologies. # Applications of Artificial Intelligence and Machine Learning in Healthcare AI and ML are being applied in various ways, including: 1. *Medical Imaging*: AI and ML are being used in medical imaging, enabling clinicians to analyze images more accurately and quickly. 2. *Clinical Decision Support*: AI and ML are being used in clinical decision support, providing clinicians with personalized treatment recommendations and guidelines. 3. *Patient Engagement*: AI and ML are being used in patient engagement, enabling patients to take a more active role in their healthcare and providing them with personalized health advice and support. 4. *Disease Surveillance*: AI and ML are being used in disease surveillance, enabling clinicians to track and predict disease outbreaks more accurately. 5. *Personalized Medicine*: AI and ML are being used in personalized medicine, enabling clinicians to tailor treatment plans to individual patients' needs and characteristics. # Conclusion The future of healthcare is artificial intelligence and machine learning, offering a more personalized, efficient, and effective way of delivering healthcare. While AI and ML face several challenges, including data quality and integration, regulatory frameworks, and clinical validation, the benefits of AI and ML, including improved diagnostic accuracy, personalized medicine, and reduced healthcare costs, make them an attractive option for many healthcare providers and organizations. # Recommendations 1. *Invest in Artificial Intelligence and Machine Learning Research and Development*: Invest in research and development to improve the accuracy, efficiency, and effectiveness of AI and ML in healthcare. 2. *Develop Regulatory Frameworks*: Develop regulatory frameworks to govern the use of AI and ML in healthcare, ensuring that they are safe, effective, and reliable. 3. *Provide Clinical Validation*: Provide clinical validation to ensure that AI and ML are safe, effective, and reliable in real-world clinical settings. 4. *Address Cybersecurity Concerns*: Address cybersecurity concerns, including the risk of data breaches, hacking, and other cyber threats. 5. *Support Workforce Development*: Support workforce development, enabling clinicians to develop the skills and expertise needed to work effectively with AI and ML.
    TREAT-2.21%
    CYBER-6.61%

    関連資産

    人気のある暗号資産
    時価総額トップ8の暗号資産です。
    最近追加された暗号資産
    最も最近追加された暗号資産
    同等の時価総額
    すべてのBitget資産の中で、時価総額がTreatに最も近いのはこれらの8資産です。