Bitget:全球日交易量排名前 4!
BTC 市占率61.45%
Bitget 新幣上架 : Pi Network
BTC/USDT$83994.24 (+2.35%)恐懼與貪婪指數34(恐懼)
山寨季指數:0(比特幣季)
盤前交易幣種PAWS,WCT比特幣現貨 ETF 總淨流量:-$60.6M(1 天);+$218.9M(7 天)。Bitget 新用戶立享 6,200 USDT 歡迎禮包!立即領取
到 Bitget App 隨時隨地輕鬆交易!立即下載
Bitget:全球日交易量排名前 4!
BTC 市占率61.45%
Bitget 新幣上架 : Pi Network
BTC/USDT$83994.24 (+2.35%)恐懼與貪婪指數34(恐懼)
山寨季指數:0(比特幣季)
盤前交易幣種PAWS,WCT比特幣現貨 ETF 總淨流量:-$60.6M(1 天);+$218.9M(7 天)。Bitget 新用戶立享 6,200 USDT 歡迎禮包!立即領取
到 Bitget App 隨時隨地輕鬆交易!立即下載
Bitget:全球日交易量排名前 4!
BTC 市占率61.45%
Bitget 新幣上架 : Pi Network
BTC/USDT$83994.24 (+2.35%)恐懼與貪婪指數34(恐懼)
山寨季指數:0(比特幣季)
盤前交易幣種PAWS,WCT比特幣現貨 ETF 總淨流量:-$60.6M(1 天);+$218.9M(7 天)。Bitget 新用戶立享 6,200 USDT 歡迎禮包!立即領取
到 Bitget App 隨時隨地輕鬆交易!立即下載

AI PIN 價格AI
未上架
報價幣種:
TWD
數據來源於第三方提供商。本頁面和提供的資訊不為任何特定的加密貨幣提供背書。想要交易已上架幣種? 點擊此處
NT$0.07252-14.10%1D
價格走勢圖
最近更新時間 2025-04-01 11:47:47(UTC+0)
市值:--
完全稀釋市值:--
24 小時交易額:--
24 小時交易額/市值:0.00%
24 小時最高價:NT$0.08994
24 小時最低價:NT$0.07638
歷史最高價:NT$8.08
歷史最低價:NT$0.04915
流通量:-- AI
總發行量:
100,000,000AI
流通率:0.00%
最大發行量:
100,000,000AI
以 BTC 計價:0.{7}2601 BTC
以 ETH 計價:0.{5}1170 ETH
以 BTC 市值計價:
--
以 ETH 市值計價:
--
合約:
0xbc54...b97e99e(Ethereum)
更多
您今天對 AI PIN 感覺如何?
注意:此資訊僅供參考。
AI PIN 今日價格
AI PIN 的即時價格是今天每 (AI / TWD) NT$0.07252,目前市值為 NT$0.00 TWD。24 小時交易量為 NT$0.00 TWD。AI 至 TWD 的價格為即時更新。AI PIN 在過去 24 小時內的變化為 -14.10%。其流通供應量為 0 。
AI 的最高價格是多少?
AI 的歷史最高價(ATH)為 NT$8.08,於 2024-02-26 錄得。
AI 的最低價格是多少?
AI 的歷史最低價(ATL)為 NT$0.04915,於 2023-12-22 錄得。
AI PIN 價格預測
AI 在 2026 的價格是多少?
根據 AI 的歷史價格表現預測模型,預計 AI 的價格將在 2026 達到 NT$0.1030。
AI 在 2031 的價格是多少?
2031,AI 的價格預計將上漲 +41.00%。 到 2031 底,預計 AI 的價格將達到 NT$0.2041,累計投資報酬率為 +181.46%。
AI PIN 價格歷史(TWD)
過去一年,AI PIN 價格上漲了 -97.35%。在此期間, 兌 TWD 的最高價格為 NT$7.97, 兌 TWD 的最低價格為 NT$0.07638。
時間漲跌幅(%)
最低價
最高價 
24h-14.10%NT$0.07638NT$0.08994
7d-30.14%NT$0.07638NT$0.1244
30d-46.49%NT$0.07638NT$0.1373
90d-79.66%NT$0.07638NT$0.4090
1y-97.35%NT$0.07638NT$7.97
全部時間+35.19%NT$0.04915(2023-12-22, 1 年前 )NT$8.08(2024-02-26, 1 年前 )
AI PIN 市場資訊
AI PIN 持幣分布集中度
巨鯨
投資者
散戶
AI PIN 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
AI PIN 評級
社群的平均評分
4.6
此內容僅供參考。
AI 兌換當地法幣匯率表
1 AI 兌換 MXN$0.041 AI 兌換 GTQQ0.021 AI 兌換 CLP$2.051 AI 兌換 HNLL0.061 AI 兌換 UGXSh7.991 AI 兌換 ZARR0.041 AI 兌換 TNDد.ت0.011 AI 兌換 IQDع.د2.861 AI 兌換 TWDNT$0.071 AI 兌換 RSDдин.0.241 AI 兌換 DOP$0.141 AI 兌換 MYRRM0.011 AI 兌換 GEL₾0.011 AI 兌換 UYU$0.091 AI 兌換 MADد.م.0.021 AI 兌換 AZN₼01 AI 兌換 OMRر.ع.01 AI 兌換 KESSh0.281 AI 兌換 SEKkr0.021 AI 兌換 UAH₴0.09
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最近更新時間 2025-04-01 11:47:47(UTC+0)
AI PIN 動態



4月1日關鍵市場資訊差,一定要看! |Alpha早報
1.Top新聞:Tether增持8888枚BTC,成為第六大BTC持幣地址 2.代幣解鎖:$EIGEN、$IOTA
BlockBeats•2025-04-01 01:58
川普家族插旗比特幣礦商,與Hut 8合作成立American Bitcoin
Abmedia•2025-03-31 23:51
OpenAI 400 億鎂募資案拍板!估值飆升 3,000 億鎂,軟銀與微軟領投
Abmedia•2025-03-31 19:42
購買其他幣種
用戶還在查詢 AI PIN 的價格。
AI PIN 的目前價格是多少?
AI PIN 的即時價格為 NT$0.07(AI/TWD),目前市值為 NT$0 TWD。由於加密貨幣市場全天候不間斷交易,AI PIN 的價格經常波動。您可以在 Bitget 上查看 AI PIN 的市場價格及其歷史數據。
AI PIN 的 24 小時交易量是多少?
在最近 24 小時內,AI PIN 的交易量為 NT$0.00。
AI PIN 的歷史最高價是多少?
AI PIN 的歷史最高價是 NT$8.08。這個歷史最高價是 AI PIN 自推出以來的最高價。
我可以在 Bitget 上購買 AI PIN 嗎?
可以,AI PIN 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 指南。
我可以透過投資 AI PIN 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 AI PIN?
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。
在哪裡可以購買加密貨幣?
影片部分 - 快速認證、快速交易

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 AI PIN)具有市場風險。Bitget 為您提供購買 AI PIN 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 AI PIN 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。
Bitget 觀點

Crypto_inside
3小時前
Day trading ❌ Swing trading. 🧐😵💫
Day trading and swing trading are two popular trading strategies used in financial markets. While both strategies aim to profit from market fluctuations, they differ in their approach, time frame, and risk management.
Day Trading:
1. Intra-day trading: Day traders buy and sell securities within a single trading day.
2. Closing positions before market close: Day traders close all positions before the market closes to avoid overnight risks.
3. Frequent trading: Day traders make multiple trades throughout the day.
4. Technical analysis: Day traders rely heavily on technical analysis, using charts and indicators to identify trading opportunities.
5. Risk management: Day traders use stop-loss orders and position sizing to manage risk.
Swing Trading:
1. Short-term trading: Swing traders hold positions for a shorter period than investors, typically from a few days to a few weeks.
2. Holding positions overnight: Swing traders may hold positions overnight, exposing themselves to overnight risks.
3. Less frequent trading: Swing traders make fewer trades than day traders, as they hold positions for longer periods.
4. Combination of technical and fundamental analysis: Swing traders use a combination of technical and fundamental analysis to identify trading opportunities.
5. Risk management: Swing traders use stop-loss orders, position sizing, and risk-reward ratios to manage risk.
Key Differences:
1. Time frame: Day traders hold positions for minutes or hours, while swing traders hold positions for days or weeks.
2. Trading frequency: Day traders make multiple trades throughout the day, while swing traders make fewer trades.
3. Risk management: Day traders focus on managing risk through quick trade execution and tight stop-loss orders, while swing traders use a combination of risk management strategies.
4. Analysis: Day traders rely heavily on technical analysis, while swing traders use a combination of technical and fundamental analysis.
Choosing Between Day Trading and Swing Trading:
1. Trading style: Day trading suits traders who can dedicate several hours a day to monitoring markets and making trades. Swing trading suits traders who prefer to hold positions for longer periods.
2. Risk tolerance: Day trading involves higher risk due to the fast-paced nature of the markets. Swing trading involves lower risk, as positions are held for longer periods.
3. Market analysis: Day traders rely on technical analysis, while swing traders use a combination of technical and fundamental analysis.
4. Time commitment: Day trading requires a significant time commitment, while swing trading requires less time.
Thank you...🙂
$BTC $ETH $SOL $PI $AI $XRP $DOGE $SHIB $BONK $COQ $CATS $BGB $BNB $U2U $WUF $WHY $SUNDOG $PARTI $CEC $BLUR
SUNDOG-1.12%
BTC+1.71%

Crypto_inside
3小時前
What is 'Position trading'..🤔🤔??
Position trading is a long-term trading strategy that involves holding a position in a security for an extended period, typically weeks, months, or even years. This approach focuses on capturing significant price movements and trends, rather than trying to time the market or make quick profits.
Key Characteristics:
1. Long-term focus: Position traders hold positions for an extended period, riding out market fluctuations.
2. Trend following: Position traders aim to identify and follow long-term trends in the market.
3. Fundamental analysis: Position traders often rely on fundamental analysis, examining a company's financials, management, and industry trends.
4. Risk management: Position traders must manage risk carefully, as large price movements can result in significant losses.
Position Trading Strategies:
1. Trend identification: Position traders use technical indicators and chart patterns to identify long-term trends.
2. Breakout trading: Position traders buy or sell when a security breaks out of a established trading range.
3. Mean reversion: Position traders bet on prices reverting to their historical means.
Advantages:
1. Reduced transaction costs: Position traders incur lower transaction costs due to fewer trades.
2. Less emotional stress: Position traders are less affected by short-term market volatility.
3. *Potential for significant gains*: Position traders can capture significant price movements and trends.
Disadvantages:
1. Market risk: Position traders are exposed to market risk, as large price movements can result in significant losses.
2. Opportunity cost: Position traders may miss out on other investment opportunities while holding a long-term position.
3. Requires patience and discipline: Position traders must be patient and disciplined, as it can take time for a trade to develop.
Position Trading vs. Day Trading:
1. Trade duration: Position traders hold positions for weeks, months, or years, while day traders close their positions within a single trading day.
2. Trade frequency: Position traders make fewer trades, while day traders make multiple trades throughout the day.
3. Risk management: Position traders focus on managing risk through position sizing and stop-loss orders, while day traders focus on managing risk through quick trade execution and tight stop-loss orders.
Position trading requires a unique combination of fundamental analysis, technical analysis, and risk management. While it can be a profitable strategy, it's essential to carefully consider the risks and challenges involved.
Thank you...🙂
$BTC $ETH $SOL $PI $AI $XRP $BGB $BNB $DOGE $SHIB $BONK $FLOKI $U2U $WUF $ORDER $SUNDOG $TRX $WHY
SUNDOG-1.12%
BTC+1.71%

Crypto_inside
3小時前
What is Scalping...🤔🤔??
Scalping is a trading strategy that involves making multiple small trades in a short period, typically seconds or minutes, to take advantage of small price movements. The goal of scalping is to accumulate small profits from each trade, which can add up to significant gains over time.
Key Characteristics:
1. Short-term focus: Scalping involves holding trades for a very short period.
2. High-frequency trading: Scalpers make multiple trades in rapid succession.
3. Small profit targets: Scalpers aim to make small profits from each trade.
4. Risk management: Scalpers must manage risk carefully to avoid significant losses.
Scalping Strategies:
1. Trend following: Scalpers follow the trend, making trades in the direction of the market momentum.
2. Range trading: Scalpers buy and sell within a specific price range, taking advantage of oscillations.
3. Mean reversion: Scalpers bet on prices reverting to their historical means.
Tools and Techniques:
1. Technical analysis: Scalpers use technical indicators, such as moving averages and RSI, to identify trading opportunities.
2. Chart patterns: Scalpers recognize chart patterns, such as triangles and wedges, to anticipate price movements.
3. Order flow analysis: Scalpers analyze order flow to gauge market sentiment and identify potential trading opportunities.
Risks and Challenges:
1. Market volatility: Scalping involves trading in volatile markets, which can result in significant losses.
2. Commissions and fees: Scalpers incur high transaction costs due to frequent trading.
3. Emotional stress: Scalping can be emotionally demanding, requiring intense focus and quick decision-making.
Scalping vs. Day Trading:
1. Trade duration: Scalping involves holding trades for seconds or minutes, while day trading involves holding trades for hours or until the market closes.
2. Trade frequency: Scalpers make multiple trades in rapid succession, while day traders typically make fewer trades.
Scalping requires a unique combination of technical analysis, risk management, and mental discipline. While it can be a profitable strategy, it's essential to carefully consider the risks and challenges involved.
Thank you...🙂
$BTC $ETH $SOL $PI $AI $XRP $DOGE $SHIB $BONK $COQ $U2U $WUF $ADA $WHY $SUNDOG $PARTI $CATS
SUNDOG-1.12%
BTC+1.71%

Crypto_inside
5小時前
What is IQ..🤔🤔??
Intelligence Quotient (IQ) is a score derived from standardized tests designed to measure human intelligence. IQ tests assess various cognitive abilities, such as:
Components of IQ Tests:
1. Verbal Comprehension: Measures ability to understand and use language.
2. Perceptual Reasoning: Assesses ability to reason, form concepts, and solve problems.
3. Working Memory: Evaluates ability to hold and manipulate information in short-term memory.
4. Processing Speed: Measures ability to quickly and accurately process visual information.
IQ Score Interpretation:
1. Average IQ: 85-115 (68% of population)
2. Above Average IQ: 116-130 (16% of population)
3. Gifted IQ: 131-145 (2% of population)
4. Highly Gifted IQ: 146-160 (0.1% of population)
5. Profoundly Gifted IQ: 161-175 (0.01% of population)
Criticisms and Limitations of IQ Tests:
1. Cultural Bias: IQ tests may favor certain cultural or socioeconomic groups.
2. Narrow Scope: IQ tests only measure specific aspects of intelligence.
3. Context-Dependent: IQ scores can be influenced by environmental factors.
4. Oversimplification: IQ scores can oversimplify complex cognitive abilities.
Types of Intelligence:
1. Fluid Intelligence: Ability to reason, think abstractly, and solve problems.
2. Crystallized Intelligence: Ability to use learned knowledge and experience.
3. Emotional Intelligence: Ability to recognize and understand emotions.
Notable Theories and Models:
1. Gardner's Multiple Intelligences: Proposes multiple types of intelligence, such as linguistic, spatial, and bodily-kinesthetic.
2. Sternberg's Triarchic Theory: Suggests three components of intelligence: analytical, creative, and practical.
IQ tests provide a limited snapshot of cognitive abilities and should not be considered the sole measure of intelligence or potential.
Thank you...🙂
$BTC $ETH $SOL $PI $AI $XRP $BGB $BNB $ONDO $DOGE $SHIB $BONK $FLOKI $U2U $WUF $PARTI $WHY $SUNDOG
SUNDOG-1.12%
BTC+1.71%

Crypto_inside
5小時前
Machine learning ❌ Traditional learning. 🧐😵💫
Machine learning and traditional learning are two distinct approaches to learning and problem-solving.
Traditional Learning:
1. Rule-based: Traditional learning involves explicit programming and rule-based systems.
2. Human expertise: Traditional learning relies on human expertise and manual feature engineering.
3. Fixed models: Traditional learning uses fixed models that are not updated automatically.
Machine Learning:
1. Data-driven: Machine learning involves learning from data and improving over time.
2. Algorithmic: Machine learning relies on algorithms that can learn from data and make predictions.
3. Adaptive models: Machine learning uses adaptive models that can update automatically based on new data.
Key Differences:
1. Learning style: Traditional learning is rule-based, while machine learning is data-driven.
2. Scalability: Machine learning can handle large datasets and complex problems, while traditional learning is limited by human expertise.
3. Accuracy: Machine learning can achieve higher accuracy than traditional learning, especially in complex domains.
Advantages of Machine Learning:
1. Improved accuracy: Machine learning can achieve higher accuracy than traditional learning.
2. Increased efficiency: Machine learning can automate many tasks, freeing up human experts for more complex tasks.
3. Scalability: Machine learning can handle large datasets and complex problems.
Disadvantages of Machine Learning:
1. Data quality: Machine learning requires high-quality data to learn effectively.
2. Interpretability: Machine learning models can be difficult to interpret and understand.
3. Bias: Machine learning models can perpetuate biases present in the training data.
When to Use Machine Learning:
1. Complex problems: Machine learning is well-suited for complex problems that require pattern recognition and prediction.
2. Large datasets: Machine learning can handle large datasets and identify trends and patterns.
3. Automating tasks: Machine learning can automate many tasks, freeing up human experts for more complex tasks.
When to Use Traditional Learning:
1. Simple problems: Traditional learning is well-suited for simple problems that require explicit programming and rule-based systems.
2. Small datasets: Traditional learning is suitable for small datasets where machine learning may not be effective.
3. Human expertise: Traditional learning relies on human expertise and manual feature engineering, making it suitable for domains where human expertise is essential.
Thank you...🙂
$BTC $ETH $SOL $PI $AI $XAI $BGB $BNB $DOGE $DOGS $SHIB $BONK $MEME $XRP $ADA $U2U $WUF $PARTI $WHY
BTC+1.71%
BGB+2.15%
相關資產
相近市值
在所有 Bitget 資產中,這8種資產的市值最接近 AI PIN。
