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FLOKI 價格

FLOKI 價格FLOKI

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TWD

您今天對 FLOKI 感覺如何?

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注意:此資訊僅供參考。

FLOKI 今日價格

FLOKI 的即時價格是今天每 (FLOKI / TWD) NT$0.001986,目前市值為 NT$19.12B TWD。24 小時交易量為 NT$2.54B TWD。FLOKI 至 TWD 的價格為即時更新。FLOKI 在過去 24 小時內的變化為 4.03%。其流通供應量為 9,625,690,000,000 。

FLOKI 的最高價格是多少?

FLOKI 的歷史最高價(ATH)為 NT$0.01150,於 2024-06-05 錄得。

FLOKI 的最低價格是多少?

FLOKI 的歷史最低價(ATL)為 NT$0.{6}6644,於 2021-08-09 錄得。
計算 FLOKI 收益

FLOKI 價格預測

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

在決定買入還是賣出 FLOKI 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 FLOKI 技術分析 可以提供您交易參考。
根據 FLOKI 4 小時技術分析,交易訊號為 中立
根據 FLOKI 1 日技術分析,交易訊號為 賣出
根據 FLOKI 1 週技術分析,交易訊號為 強力賣出

FLOKI 在 2026 的價格是多少?

根據 FLOKI 的歷史價格表現預測模型,預計 FLOKI 的價格將在 2026 達到 NT$0.002748

FLOKI 在 2031 的價格是多少?

2031,FLOKI 的價格預計將上漲 +3.00%。 到 2031 底,預計 FLOKI 的價格將達到 NT$0.004065,累計投資報酬率為 +107.70%。

FLOKI 價格歷史(TWD)

過去一年,FLOKI 價格上漲了 -74.51%。在此期間,FLOKI 兌 TWD 的最高價格為 NT$0.01150,FLOKI 兌 TWD 的最低價格為 NT$0.001768。
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+4.03%NT$0.001880NT$0.001995
7d-11.55%NT$0.001880NT$0.002526
30d-25.56%NT$0.001768NT$0.002976
90d-66.45%NT$0.001768NT$0.006868
1y-74.51%NT$0.001768NT$0.01150
全部時間+1554.59%NT$0.{6}6644(2021-08-09, 3 年前 )NT$0.01150(2024-06-05, 300 天前 )

FLOKI 市場資訊

FLOKI 市值走勢圖

市值
NT$19,121,356,942.5
完全稀釋市值
NT$19,193,125,825.82
排名
ICO 價格
NT$0.001522 ICO 詳情
立即購買 FLOKI

FLOKI 行情

  • #
  • 幣對
  • 類型
  • 價格
  • 24 小時交易量
  • 操作
  • 1
  • FLOKI/USDT
  • 現貨
  • 0.0000599
  • $1.71M
  • ‌交易
  • 2
  • FLOKI/USDC
  • 現貨
  • 0.00005988
  • $221.48K
  • ‌交易
  • FLOKI 持幣

    FLOKI 持幣分布矩陣

  • 地址餘額(FLOKI)
  • 地址數量
  • 地址佔比(%)
  • 持幣量與持幣價值(FLOKI | USD)
  • 持幣量佔比(%)
  • 0-1000000 FLOKI
  • 56.85K
  • 59.68%
  • 12.9B FLOKI
    $741.91K
  • 0.13%
  • 1000000-10000000 FLOKI
  • 28.48K
  • 29.89%
  • 97.7B FLOKI
    $5.62M
  • 0.98%
  • 10000000-100000000 FLOKI
  • 8.37K
  • 8.78%
  • 229.62B FLOKI
    $13.21M
  • 2.30%
  • 100000000-1000000000 FLOKI
  • 1.3K
  • 1.37%
  • 323.46B FLOKI
    $18.6M
  • 3.23%
  • 1000000000-10000000000 FLOKI
  • 203
  • 0.21%
  • 630.6B FLOKI
    $36.27M
  • 6.31%
  • 10000000000-100000000000 FLOKI
  • 58
  • 0.06%
  • 1.42T FLOKI
    $81.67M
  • 14.20%
  • 100000000000-1000000000000 FLOKI
  • 9
  • 0.01%
  • 1.66T FLOKI
    $95.21M
  • 16.55%
  • 1000000000000-10000000000000 FLOKI
  • 2
  • 0.00%
  • 5.63T FLOKI
    $323.88M
  • 56.31%
  • 10000000000000-100000000000000 FLOKI
  • 0
  • 0.00%
  • 0 FLOKI
    $0
  • 0.00%
  • >100000000000000 FLOKI
  • 0
  • 0.00%
  • 0 FLOKI
    $0
  • 0.00%
  • FLOKI 持幣分布集中度

    巨鯨
    投資者
    散戶

    FLOKI 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
    loading

    FLOKI 評級

    社群的平均評分
    4.6
    100 筆評分
    此內容僅供參考。

    FLOKI (FLOKI) 簡介

    什麼是 FLOKI

    FLOKI 是一種加密貨幣,最初是一種 meme 幣,靈感來自 Elon Musk 名為「Floki」的柴犬寵物。然而,它現在已經發展成為 Web3 領域的重要參與者,涵蓋了去中心化金融、NFT 和元宇宙等板塊。這種轉變為其贏得了「人民的加密貨幣」的頭銜。該項目已成功從單純的 meme 幣轉變為一場運動,其願景是在發展落後的國家建設學校,並與 Elon Musk 的兄弟金 Kimbal Musk 創立的百萬花園運動等倡議合作。

    FLOKI 作為多鏈代幣運行,符合 ERC-20 BEP-20 標準,使其在以太坊和 BNB 智能鏈上運行。這種雙重相容性允許兩條鏈之間的無縫橋接,為 FLOKI 持有者提供輕鬆的交易和儲存選擇。該項目的特點是三大核心:meme 地位、功能性和慈善目的。

    相關頁面

    官方文檔:https://docs.floki.com/floki-whitepaper/

    官方網站:https://flok i.com/

    FLOKI 是如何運作的呢?

    FLOKI 生態系統是一個蓬勃發展的地方,有各種正在開發的項目,包括 DeFi 平台、NFT 市場和教育平台。其中一個知名的項目是 Valhalla,這是一個 NFT 遊戲元宇宙,玩家可以使用 FLOKI 代幣作為遊戲內貨幣,並根據參與獲得獎勵。這項舉措象徵著 FLOKI 進入蓬勃發展的 NFT 遊戲領域,為用戶提供身歷其境的體驗和經濟激勵。

    DeFi 領域,FLOKI 已將 Chainlink 價格資訊整合到其網路中,使其能夠透過 Inverse Finance BarnBridge 等平台提供金融服務。這些平台允許用戶質押 FLOKI 代幣來賺取利息或將其用作抵押品來借入其他加密貨幣。此外,FLOKI 正在努力將自己打造為現有加密貨幣和法幣的可行支付替代方案,促進數位市場交易並透過 Floki University 平台促進加密貨幣教育。

    什麼是 FLOKI 代幣?

    FLOKI 代幣是 FLOKI 生態系統的核心元素,作為多鏈代幣,相容於以太坊和 BNB 智能鏈。這種雙重功能為用戶提供了輕鬆的交易和儲存選擇。值得注意的是,包含買賣 FLOKI 代幣的交易需繳納 3% 的稅,這筆稅款將轉入 Floki Inu 金庫,以進一步發展生態系統並促進 FLOKI 的更廣泛採用。該項目的白皮書指出,一旦累積了足夠的資金就會減少這項稅收,但具體目標金額尚未披露。

    FLOKI 對金融的影響

    FLOKI 透過將慈善行動與 meme 運動結合,在重塑金融領域方面取得了長足進步。FLOKI 被納斯達克認為是 2022 年最值得購買的元宇宙貨幣之一,並逐漸將自己打造成金融領域不可忽視的力量。它與 NOWPaymentsCryptoCart CurateXCUR)的合作夥伴關係將其功能性擴展到了 Floki Inu 生態系統之外,允許現實世界的應用程式和交易。

    此外,FLOKI 的超通縮性質,加上自動銷毀機制,使其成為加密貨幣市場的潛在投資機會。雖然 FLOKI 的代幣供應量高達 10 兆枚,但 FLOKI 的策略聯盟和行銷方面的努力預示著光明的未來,可能會超越市場上其他以狗狗為主題的代幣。

    FLOKI 的價格是由什麼決定的呢?

    在動態的加密貨幣世界中,追蹤 FLOKI 代幣價格對於關注各種平台以取得最新 FLOKI 加密新聞的愛好者和潛在投資者非常重要。了解 FLOKI 幣價值的波動性通常與其在創新生態系統中的應用相關。FLOKI 加密貨幣匯率與 Valhalla FlokiPlaces 等相關項目的發展密切相關,這些平台促進了 NFT 和其他數位資產的購買、銷售和交易。

    FLOKI 加密貨幣已經超越了單純的 meme 代幣,在提供有形現實世界應用的領域中開闢了一個利基市場,這是一個可以正面引導其價格走勢的關鍵。對於全面的 FLOKI 代幣分析,人們應該注意它與 NOWPaymentsCryptoCart CurateXCUR)等知名平台的合作,這些平台已將其功能性擴展到本地生態系統之外。這些合作夥伴關係促進了數位市場交易的順利進行,為 FLOKI 代幣的未來帶來了有希望的前景。此外,FLOKI 價格歷史突顯了其超級通貨緊縮特徵,該特點得到了自動銷毀機制的支持,該機制旨在隨著供應減少而增加需求,這是制定 FLOKI 加密貨幣預測時需要考慮的重要因素。

    隨著 FLOKI 持續致力於建立強大的策略聯盟並擴大其行銷策略,它作為一種前景光明的加密貨幣且堅定不移,預計將在未來幾年重新定義金融領域。

    FLOKI 的相關文章

    從一文不值到一飛沖天: Bitget MEME 幣新紀元

    FLOKI 社群媒體數據

    過去 24 小時,FLOKI 社群媒體情緒分數是 3,社群媒體上對 FLOKI 價格走勢偏向 看漲。FLOKI 社群媒體得分是 27,569,226,在所有加密貨幣中排名第 14。

    根據 LunarCrush 統計,過去 24 小時,社群媒體共提及加密貨幣 1,058,120 次,其中 FLOKI 被提及次數佔比 0.69%,在所有加密貨幣中排名第 26。

    過去 24 小時,共有 16,039 個獨立用戶談論了 FLOKI,總共提及 FLOKI 7,294 次,然而,與前一天相比,獨立用戶數 減少 了 7%,總提及次數增加。

    Twitter 上,過去 24 小時共有 508 篇推文提及 FLOKI,其中 2% 看漲 FLOKI,2% 篇推文看跌 FLOKI,而 97% 則對 FLOKI 保持中立。

    在 Reddit 上,最近 24 小時共有 14 篇貼文提到了 FLOKI,相比之前 24 小時總提及次數 減少 了 33%。

    社群媒體資訊概況

    平均情緒(24h)
    3
    社群媒體分數(24h)
    27.57M(#14)
    社群媒體貢獻者(24h)
    16.04K
    -7%
    社群媒體提及次數(24h)
    7.29K(#26)
    +39%
    社群媒體佔有率(24h)
    0.69%
    Twitter
    推文(24h)
    508
    +36%
    Twitter 情緒(24h)
    看漲
    2%
    中立
    97%
    看跌
    2%
    Reddit
    Reddit 分數(24h)
    2
    Reddit 貼文(24h)
    14
    -33%
    Reddit 評論(24h)
    0
    0%

    如何購買 FLOKI(FLOKI)

    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 FLOKI 兌換為 FLOKI

    將 FLOKI 兌換為 FLOKI

    我們將為您示範使用多種支付方式在 Bitget 上購買 FLOKI

    交易 FLOKI 永續合約

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

    FLOKI 的目前價格為 NT$0.001986,24 小時價格變化為 +4.03%。交易者可透過做多或做空 FLOKI 合約獲利。

    FLOKI 合約交易指南

    跟單交易專家,進行 FLOKI 跟單交易!

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

    用戶還在查詢 FLOKI 的價格。

    FLOKI 的目前價格是多少?

    FLOKI 的即時價格為 NT$0(FLOKI/TWD),目前市值為 NT$19,121,356,942.5 TWD。由於加密貨幣市場全天候不間斷交易,FLOKI 的價格經常波動。您可以在 Bitget 上查看 FLOKI 的市場價格及其歷史數據。

    FLOKI 的 24 小時交易量是多少?

    在最近 24 小時內,FLOKI 的交易量為 NT$2.54B。

    FLOKI 的歷史最高價是多少?

    FLOKI 的歷史最高價是 NT$0.01150。這個歷史最高價是 FLOKI 自推出以來的最高價。

    我可以在 Bitget 上購買 FLOKI 嗎?

    可以,FLOKI 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 floki 指南。

    我可以透過投資 FLOKI 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 FLOKI?

    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 FLOKI(FLOKI)?

    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

    play cover
    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 FLOKI)具有市場風險。Bitget 為您提供購買 FLOKI 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 FLOKI 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

    FLOKI
    TWD
    1 FLOKI = 0.001986 TWD
    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

    Crypto_inside
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    1小時前
    What is Q-learning...🤔🤔??
    Q-learning is a type of reinforcement learning algorithm used in machine learning and artificial intelligence. It's a model-free, off-policy learning algorithm that helps agents learn to make decisions in complex, uncertain environments. Key Components: 1. Agent: The decision-maker that interacts with the environment. 2. Environment: The external system with which the agent interacts. 3. Actions: The decisions made by the agent. 4. Rewards: The feedback received by the agent for its actions. 5. Q-function: A mapping from states and actions to expected rewards. How Q-learning Works: 1. Initialization: The agent starts with an arbitrary Q-function. 2. Exploration: The agent selects an action and observes the resulting state and reward. 3. Update: The agent updates its Q-function based on the observed reward and the expected reward for the next state. 4. Exploitation: The agent chooses the action with the highest Q-value for the current state. Advantages: 1. Simple to implement: Q-learning is a straightforward algorithm to understand and code. 2. Effective in complex environments: Q-learning can handle complex, dynamic environments with many states and actions. Disadvantages: 1. Slow convergence: Q-learning can require many iterations to converge to an optimal policy. 2. Sensitive to hyperparameters: The performance of Q-learning is highly dependent on the choice of hyperparameters. Q-learning is a powerful algorithm for reinforcement learning, but it can be challenging to tune and may not always converge to an optimal solution. Thank you...🙂 $BTC $ETH $SOL $PI $AI $XAI $XRP $BGB $BNB $DOGE $DOGS $SHIB $BONK $FLOKI $U2U $WUF $WHY $SUNDOG $COQ $PEPE
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    1小時前
    What is Machine learning..🤔🤔??
    Machine learning is a subset of artificial intelligence (AI) that involves training algorithms to learn from data and make predictions, decisions, or recommendations without being explicitly programmed. Key Characteristics: 1. Learning from data: Machine learning algorithms learn patterns and relationships in data. 2. Improving over time: Machine learning models improve their performance as they receive more data. 3. Making predictions or decisions: Machine learning models make predictions, decisions, or recommendations based on the learned patterns. Types of Machine Learning: 1. Supervised Learning: The algorithm learns from labeled data to make predictions. 2. Unsupervised Learning: The algorithm learns from unlabeled data to identify patterns. 3. Reinforcement Learning: The algorithm learns through trial and error to achieve a goal. 4. Semi-supervised Learning: The algorithm learns from a combination of labeled and unlabeled data. 5. Deep Learning: A subset of machine learning that uses neural networks with multiple layers. Machine Learning Applications: 1. Image Recognition: Image classification, object detection, and facial recognition. 2. Natural Language Processing (NLP): Text classification, sentiment analysis, and language translation. 3. Speech Recognition: Speech-to-text and voice recognition. 4. Predictive Analytics: Forecasting, regression, and decision-making. 5. Recommendation Systems: Personalized product recommendations. Machine Learning Algorithms: 1. Linear Regression: Linear models for regression tasks. 2. Decision Trees: Tree-based models for classification and regression. 3. Random Forest: Ensemble learning for classification and regression. 4. Support Vector Machines (SVMs): Linear and non-linear models for classification and regression. 5. Neural Networks: Deep learning models for complex tasks. Machine Learning Tools and Frameworks: 1. TensorFlow: Open-source deep learning framework. 2. PyTorch: Open-source deep learning framework. 3. Scikit-learn: Open-source machine learning library. 4. Keras: High-level neural networks API. Machine learning has numerous applications across industries, including healthcare, finance, marketing, and more. Its ability to learn from data and improve over time makes it a powerful tool for solving complex problems. Thank you...🙂 $BTC $ETH $SOL $PI $AI $XAI $BGB $BNB $DOGE $SHIB $FLOKI $BONK $U2U $WUF $WHY $SUNDOG $PARTI $XRP
    SUNDOG-0.37%
    BTC+1.01%
    Crypto_inside
    Crypto_inside
    13小時前
    Price action ❌ Technical analysis. 🧐😵‍💫
    Price action and technical analysis are two related but distinct concepts in trading and investing. Price Action: 1. Focuses on raw price data: Price action involves analyzing the price movement of a security over time. 2. No indicators or overlays: Price action traders rely solely on the price chart, without using technical indicators or overlays. 3. Emphasis on market structure: Price action traders study the structure of the market, including trends, reversals, and breakouts. Technical Analysis: 1. Uses indicators and overlays: Technical analysis involves using various indicators and overlays, such as moving averages, RSI, and Bollinger Bands, to analyze price data. 2. *Focuses on patterns and trends*: Technical analysis identifies patterns and trends in price data, using indicators and overlays to confirm or contradict the analysis. 3. *Includes various methods*: Technical analysis encompasses various methods, including chart patterns, trend analysis, and momentum analysis. Key Differences: 1. Use of indicators: Price action traders do not use indicators, while technical analysts rely heavily on them. 2. Focus: Price action focuses on raw price data and market structure, while technical analysis focuses on patterns, trends, and indicators. 3. Approach: Price action trading is often more discretionary and subjective, while technical analysis can be more systematic and rule-based. Similarities: 1. Both analyze price data: Both price action and technical analysis involve analyzing price data to make trading decisions. 2. Both aim to identify trends and patterns: Both approaches aim to identify trends, patterns, and other market structures to inform trading decisions. 3. Both require skill and experience: Both price action and technical analysis require skill, experience, and continuous learning to master. In summary, while price action and technical analysis share some similarities, they differ in their approach, focus, and use of indicators. Price action traders rely solely on raw price data and market structure, while technical analysts use indicators and overlays to identify patterns and trends. Thank you...🙂 $BTC $ETH $SOL $PI $XRP $ADA $AI $DOGE $SHIB $FLOKI $BONK $BGB $BNB $U2U $PARTI $WUF $WHY $SUNDOG $DOGS $GEEK
    SUNDOG-0.37%
    BTC+1.01%
    Jelles
    Jelles
    13小時前
    $FLOKI is building a bullish divergence, right on top of the major support level. Time to turn the bear market ceiling into the bull market floor? Let's see 👀
    FLOKI+2.21%
    MAJOR+5.10%
    Crypto_inside
    Crypto_inside
    16小時前
    What are AI agent applications..🤔🤔??
    AI agent applications are numerous and diverse, spanning various industries and domains. Here are some examples: 1. Virtual Assistants 1. Personalized support: AI-powered virtual assistants, like Amazon's Alexa or Google Assistant, provide personalized support and answer queries. 2. Task automation: Virtual assistants can automate tasks, such as scheduling appointments or sending messages. 2. Customer Service 1. Chatbots: AI-powered chatbots provide 24/7 customer support, answering frequent queries and helping with transactions. 2. Sentiment analysis: AI agents can analyze customer sentiment, enabling companies to improve their services and products. 3. Healthcare 1. Medical diagnosis: AI agents can analyze medical data, helping doctors diagnose diseases more accurately. 2. Personalized medicine: AI agents can provide personalized treatment recommendations based on individual patient profiles. 4. Finance 1. Automated trading: AI agents can execute trades automatically, optimizing investment strategies and minimizing risks. 2. Risk management: AI agents can analyze market trends and identify potential risks, enabling investors to make informed decisions. 5. Cybersecurity 1. Threat detection: AI agents can detect and respond to cyber threats in real-time, protecting networks and systems 2. Incident response: AI agents can automate incident response, minimizing the impact of cyber attacks. 6. Education 1. Personalized learning: AI agents can provide personalized learning experiences, tailoring content to individual students' needs. 2. Intelligent tutoring systems: AI agents can offer one-on-one support, helping students with complex topics and concepts. 7. Autonomous Vehicles 1. Self-driving cars: AI agents can navigate roads, traffic, and pedestrians, enabling autonomous vehicles to operate safely. 2. Route optimization: AI agents can optimize routes, reducing travel time and improving fuel efficiency. 8. Smart Homes 1. Home automation: AI agents can control lighting, temperature, and security systems, making homes more comfortable and secure. 2. Energy efficiency: AI agents can optimize energy consumption, reducing waste and lowering utility bills. 9. Supply Chain Management 1. Predictive maintenance: AI agents can predict equipment failures, enabling proactive maintenance and reducing downtime. 2. Inventory optimization: AI agents can optimize inventory levels, ensuring that products are available when needed. 10. Gaming 1. Game development: AI agents can generate game content, such as levels, characters, and stories. 2. Gameplay optimization: AI agents can optimize gameplay, providing personalized experiences and improving player engagement. These examples illustrate the diverse range of applications for AI agents, from virtual assistants to autonomous vehicles. As AI technology continues to evolve, we can expect to see even more innovative applications in the future. Thank you...🙂 $BTC $ETH $SOL $PI $ADA $XRP $BGB $BNB $DOGE $SHIB $PARTI $FLOKI $BONK $U2U $WUF $INVITE $NEIROETH $ORDER $WHY
    BTC+1.01%
    BGB+2.33%

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