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VisionGame 價格

VisionGame 價格VISION

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注意:此資訊僅供參考。

VisionGame 今日價格

VisionGame 的即時價格是今天每 (VISION / USD) $0.0009774,目前市值為 $537,544.21 USD。24 小時交易量為 $140,885.4 USD。VISION 至 USD 的價格為即時更新。VisionGame 在過去 24 小時內的變化為 0.98%。其流通供應量為 550,000,000 。

VISION 的最高價格是多少?

VISION 的歷史最高價(ATH)為 $0.2554,於 2022-04-14 錄得。

VISION 的最低價格是多少?

VISION 的歷史最低價(ATL)為 $0.0005251,於 2023-09-22 錄得。
計算 VisionGame 收益

VisionGame 價格預測

什麼時候是購買 VISION 的好時機? 我現在應該買入還是賣出 VISION?

在決定買入還是賣出 VISION 時,您必須先考慮自己的交易策略。長期交易者和短期交易者的交易活動也會有所不同。Bitget VISION 技術分析 可以提供您交易參考。
根據 VISION 4 小時技術分析,交易訊號為 買入
根據 VISION 1 日技術分析,交易訊號為 賣出
根據 VISION 1 週技術分析,交易訊號為 賣出

VISION 在 2026 的價格是多少?

根據 VISION 的歷史價格表現預測模型,預計 VISION 的價格將在 2026 達到 $0.001124

VISION 在 2031 的價格是多少?

2031,VISION 的價格預計將上漲 +21.00%。 到 2031 底,預計 VISION 的價格將達到 $0.001828,累計投資報酬率為 +88.52%。

VisionGame 價格歷史(USD)

過去一年,VisionGame 價格上漲了 -83.39%。在此期間,VISION 兌 USD 的最高價格為 $0.006950,VISION 兌 USD 的最低價格為 $0.0007338。
時間漲跌幅(%)漲跌幅(%)最低價相應時間內 {0} 的最低價。最高價 最高價
24h+0.98%$0.0009458$0.0009800
7d+25.04%$0.0007338$0.001033
30d-20.70%$0.0007338$0.001573
90d-74.11%$0.0007338$0.003821
1y-83.39%$0.0007338$0.006950
全部時間-99.56%$0.0005251(2023-09-22, 1 年前 )$0.2554(2022-04-14, 2 年前 )

VisionGame 市場資訊

VisionGame 市值走勢圖

市值
$537,544.21
完全稀釋市值
$977,353.12
排名
ICO 價格
$0.03000 ICO 詳情
立即購買 VisionGame

VisionGame 持幣分布集中度

巨鯨
投資者
散戶

VisionGame 地址持有時長分布

長期持幣者
游資
交易者
coinInfo.name(12)即時價格表
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VisionGame 評級

社群的平均評分
4.4
100 筆評分
此內容僅供參考。

VisionGame (VISION) 簡介

關於VisionGame Token的深入分析

VisionGame Token(簡稱VGT)是個全球領先的數位貨幣。而如今,它已成為許多加密貨幣愛好者和投資者注意力的焦點。

VisionGame Token的歷史和重要性

在談論VisionGame Token的歷史和重要性時,我們必須提及它作為一種具有強大潛力的全球加密貨幣。它在數字貨幣市場上的定位不單單只是一種交易工具,而是一種新型、高效和方便的數字資產。通過VisionGame Token,我們可以看到一種全新的,數字化的未來金融體系。

VisionGame Token的主要特征

VisionGame Token具有許多獨特的特性,使其在數字經濟中獨樹一幟。以下是一些最重要的特徵:

  1. 去中心化 - VisionGame Token不依賴任何中央銀行或者政府。它的運行和管理完全通过網絡與算法來實現。
  2. 透明性 - 所有的交易都在區塊鏈上公開記錄,並且可以被任何人查詢。這確保了交易的公正性與公開性。
  3. 自由性 - 任何人在任何地方都可以隨時進行交易,無需通過傳統銀行或金融機構。

最後的思考

就像任何其他的加密貨幣一樣,VisionGame Token仍然是一個波動性強,風險高的投資。不過,沒有哪一種投資是完全沒有風險的。然而,VisionGame Token作為一種新型數字貨幣,它具有無限的潛力和價值。在未來的數字經濟中,我們有理由相信,VisionGame Token將會扮演著越來越重要的角色。

如何購買 VisionGame(VISION)

建立您的免費 Bitget 帳戶

建立您的免費 Bitget 帳戶

使用您的電子郵件地址/手機號碼在 Bitget 註冊,並建立強大的密碼以確保您的帳戶安全
認證您的帳戶

認證您的帳戶

輸入您的個人資訊並上傳有效的身份照片進行身份認證
將 VisionGame 兌換為 VISION

將 VisionGame 兌換為 VISION

我們將為您示範使用多種支付方式在 Bitget 上購買 VisionGame

交易 VISION 永續合約

在 Bitget 上註冊並購買 USDT 或 VISION 後,您可以開始交易衍生品,包括 VISION 合約和槓桿交易,增加收益。

VISION 的目前價格為 $0.0009774,24 小時價格變化為 +0.98%。交易者可透過做多或做空 VISION 合約獲利。

跟單交易專家,進行 VISION 跟單交易!

在 Bitget 註冊並成功購買 USDT 或 VISION 後,您還可以跟單交易專家開始跟單交易。

用戶還在查詢 VisionGame 的價格。

VisionGame 的目前價格是多少?

VisionGame 的即時價格為 $0(VISION/USD),目前市值為 $537,544.21 USD。由於加密貨幣市場全天候不間斷交易,VisionGame 的價格經常波動。您可以在 Bitget 上查看 VisionGame 的市場價格及其歷史數據。

VisionGame 的 24 小時交易量是多少?

在最近 24 小時內,VisionGame 的交易量為 $140,885.4。

VisionGame 的歷史最高價是多少?

VisionGame 的歷史最高價是 $0.2554。這個歷史最高價是 VisionGame 自推出以來的最高價。

我可以在 Bitget 上購買 VisionGame 嗎?

可以,VisionGame 目前在 Bitget 的中心化交易平台上可用。如需更詳細的說明,請查看我們很有幫助的 如何購買 VisionGame 指南。

我可以透過投資 VisionGame 獲得穩定的收入嗎?

當然,Bitget 推出了一個 策略交易平台,其提供智能交易策略,可以自動執行您的交易,幫您賺取收益。

我在哪裡能以最低的費用購買 VisionGame?

Bitget提供行業領先的交易費用和市場深度,以確保交易者能够從投資中獲利。 您可通過 Bitget 交易所交易。

您可以在哪裡購買 VisionGame(VISION)?

透過 Bitget App 購買
數分鐘完成帳戶註冊,即可透過信用卡或銀行轉帳購買加密貨幣。
Download Bitget APP on Google PlayDownload Bitget APP on AppStore
透過 Bitget 交易所交易
將加密貨幣存入 Bitget 交易所,交易流動性大且費用低

影片部分 - 快速認證、快速交易

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如何在 Bitget 完成身分認證以防範詐騙
1. 登入您的 Bitget 帳戶。
2. 如果您是 Bitget 的新用戶,請觀看我們的教學,以了解如何建立帳戶。
3. 將滑鼠移到您的個人頭像上,點擊「未認證」,然後點擊「認證」。
4. 選擇您簽發的國家或地區和證件類型,然後根據指示進行操作。
5. 根據您的偏好,選擇「手機認證」或「電腦認證」。
6. 填寫您的詳細資訊,提交身分證影本,並拍攝一張自拍照。
7. 提交申請後,身分認證就完成了!
加密貨幣投資(包括透過 Bitget 線上購買 VisionGame)具有市場風險。Bitget 為您提供購買 VisionGame 的簡便方式,並且盡最大努力讓用戶充分了解我們在交易所提供的每種加密貨幣。但是,我們不對您購買 VisionGame 可能產生的結果負責。此頁面和其包含的任何資訊均不代表對任何特定加密貨幣的背書認可,任何價格數據均採集自公開互聯網,不被視為來自Bitget的買賣要約。

買入

‌交易

理財

VISION
USD
1 VISION = 0.0009774 USD
在所有主流交易平台中,Bitget 提供最低的交易手續費。VIP 等級越高,費率越優惠。

Bitget 觀點

AshuBajwaB60
AshuBajwaB60
11小時前
Revolutionizing Education with Artificial Intelligence: A Comprehensive Guide to AI-Powered Learning
Artificial intelligence (AI) is transforming the education sector, enabling personalized learning, improving student outcomes, and enhancing teacher effectiveness. AI-powered learning platforms are at the forefront of this revolution, providing adaptive learning experiences, real-time feedback, and data-driven insights. In this article, we'll explore the potential of AI-powered learning platforms, highlighting their benefits, challenges, and future developments. # Benefits of AI-Powered Learning Platforms AI-powered learning platforms offer several benefits, including: 1. *Personalized Learning*: AI-powered learning platforms provide adaptive learning experiences, tailoring content, pace, and difficulty to individual students' needs. 2. *Real-Time Feedback*: AI-powered learning platforms offer real-time feedback, enabling students to track their progress, identify areas for improvement, and adjust their learning strategies. 3. *Data-Driven Insights*: AI-powered learning platforms provide data-driven insights, enabling teachers to monitor student progress, identify knowledge gaps, and inform instruction. 4. *Increased Accessibility*: AI-powered learning platforms increase accessibility, enabling students with disabilities, remote students, and students from disadvantaged backgrounds to access high-quality educational resources. # Challenges of AI-Powered Learning Platforms AI-powered learning platforms also face several challenges, including: 1. *Technical Complexity*: AI-powered learning platforms require complex technical infrastructure, including data storage, processing power, and software integration. 2. *Data Quality and Integration*: AI-powered learning platforms require high-quality, integrated data to function effectively, which can be challenging in education, where data is often fragmented and siloed. 3. *Teacher Professional Development*: AI-powered learning platforms require teachers to develop new skills and competencies, including data analysis, instructional design, and technology integration. 4. *Equity and Bias*: AI-powered learning platforms can perpetuate equity and bias issues, particularly if the data used to train AI systems is biased or incomplete. # Future Developments of AI-Powered Learning Platforms AI-powered learning platforms are rapidly evolving, with several future developments on the horizon, including: 1. *Natural Language Processing*: AI-powered learning platforms will increasingly incorporate natural language processing, enabling students to interact with AI systems using voice or text commands. 2. *Computer Vision*: AI-powered learning platforms will increasingly incorporate computer vision, enabling AI systems to analyze visual data, such as images and videos. 3. *Blockchain and Distributed Ledger Technology*: AI-powered learning platforms will increasingly incorporate blockchain and distributed ledger technology, enabling secure, transparent, and decentralized data management. 4. *Human-AI Collaboration*: AI-powered learning platforms will increasingly focus on human-AI collaboration, enabling teachers and AI systems to work together to provide personalized learning experiences. # Case Studies of AI-Powered Learning Platforms Several organizations are already leveraging AI-powered learning platforms to improve education outcomes, including: 1. *DreamBox Learning*: DreamBox Learning is an AI-powered math education platform that provides personalized learning experiences for students in grades K-8. 2. *Coursera*: Coursera is an online learning platform that partners with top universities to offer AI-powered courses and degree programs. 3. *Knewton*: Knewton is an AI-powered education platform that provides personalized learning experiences for students in grades K-12. 4. *McGraw-Hill Education*: McGraw-Hill Education is a leading education company that offers AI-powered learning platforms for students in grades K-12 and higher education. # Conclusion AI-powered learning platforms are revolutionizing education, providing personalized learning experiences, real-time feedback, and data-driven insights. While these platforms face several challenges, including technical complexity, data quality, and equity, they offer significant potential for improving education outcomes. As AI-powered learning platforms continue to evolve, they will increasingly incorporate natural language processing, computer vision, blockchain, and human-AI collaboration, enabling more effective, efficient, and equitable education systems. # Recommendations 1. *Invest in AI-Powered Learning Platforms*: Invest in AI-powered learning platforms that provide personalized learning experiences, real-time feedback, and data-driven insights. 2. *Develop Teacher Professional Development Programs*: Develop teacher professional development programs that focus on AI, data analysis, instructional design, and technology integration. 3. *Address Equity and Bias Issues*: Address equity and bias issues in AI-powered learning platforms, ensuring that these platforms promote fairness, transparency, and accountability. 4. *Foster Human-AI Collaboration*: Foster human-AI collaboration in education, enabling teachers and AI systems to work together to provide personalized learning experiences.
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相關資產

熱門加密貨幣
按市值計算的8大加密貨幣。
相近市值
在所有 Bitget 資產中,這8種資產的市值最接近 VisionGame。