MON 價格MON
USD
未上架
$0.{15}2820USD
0.00%1D
MON(MON)的 United States Dollar 價格為 $0.{15}2820 USD。
最近更新時間 2026-01-29 06:55:51(UTC+0)
MON/USD 匯率換算器
MON
USD
1 MON = 0.{15}2820 USD。目前 1 個 MON(MON)兌 USD 的價格為 0.{15}2820。匯率僅供參考。
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。
MON 市場資訊
價格表現(24 小時)
24 小時
24 小時最低價 $024 小時最高價 $0
歷史最高價(ATH):
--
漲跌幅(24 小時):
漲跌幅(7 日):
--
漲跌幅(1 年):
--
市值排名:
--
市值:
$0
完全稀釋市值:
$0
24 小時交易額:
--
流通量:
984.76M MON
最大發行量:
1.00B MON
總發行量:
1.00B MON
流通率:
98%
今日MON即時價格USD
今日MON即時價格為 $0.{15}2820 USD,目前市值為 $0.MON2778。過去 24 小時內,MON價格跌幅為 0.00%,24 小時交易量為 $0.00。{6}/USD(MON兌換USD)兌換率即時更新。
1MON的United States Dollar價值是多少?
截至目前,MON(MON)的 United States Dollar 價格為 $0.{15}2820 USD。您現在可以用 1 MON 兌換 $0.{15}2820,或用 $ 10 兌換 35,454,286,767,176,732 MON。在過去 24 小時內,MON 兌換 USD 的最高價格為 -- USD,MON 兌換 USD 的最低價格為 -- USD。
您認為今天 MON 價格會上漲還是下跌?
總票數:
上漲
0
下跌
0
投票數據每 24 小時更新一次。它反映了社群對 MON 的價格趨勢預測,不應被視為投資建議。
目前您已了解 MON 今日價格,您也可以了解:
如何購買 MON(MON)?如何出售 MON(MON)?什麼是 MON(MON)?如果您購買了 MON (MON) ,會發生什麼事?今年、2030 年和 2050 年的 MON (MON) 價格預測?哪裡可以下載 MON (MON) 的歷史價格數據?今天其他同類型加密貨幣的價格是多少?想要立即獲取加密貨幣?
使用信用卡直接購買加密貨幣。在現貨平台交易多種加密貨幣,以進行套利。以 下資訊包括:MON 價格預測,MON 項目介紹和發展歷史等。繼續閱讀,您將對 MON 有更深入的理解。
MON價格預測
MON 在 2027 的價格是多少?
2027 年,基於 +5% 的預測年增長率,MON(MON)價格預計將達到 $0.{15}3150。基於此預測,投資並持有 MON 至 2027 年底的累計投資回報率將達到 +5%。更多詳情,請參考2026 年、2027 年及 2030 - 2050 年 MON 價格預測。MON 在 2030 年的價格是多少?
2030 年,基於 +5% 的預測年增長率,MON(MON)價格預計將達到 $0.{15}3650。基於此預測,投資並持有 MON 至 2030 年底的累計投資回報率將達到 21.55%。更多詳情,請參考2026 年、2027 年及 2030 - 2050 年 MON 價格預測。
Bitget 觀點

SKMTRADER
1天前
🚀 BUY SIGNAL | TRADE
Pair: $MON / USDT
💰 Current Price:
0.01938
📈 Buy Zone (Entry):
➡️ 0.01920 – 0.01890
🛑 Stop Loss:
❌ 0.01850
🎯 Take Profits:
✅ TP1: 0.01980
✅ TP2: 0.02050
✅ TP3: 0.02150 🚀
👉 Follow for real-time trade setups & turn on notifications. 🔔📊
$MON
MON-4.78%

BitbullNoah
2026/01/21 20:38
The InfoFi Autopsy: Why 98% of Leaderboard Projects Never Survive the Airdrop
The systemic collapse of the "Post-to-Earn" model in early 2026 has exposed the structural fragility of the InfoFi sector.
While platforms like Kaito, Cookie, and Wallchain provided the infrastructure for attention mining, the projects they launched have largely failed to transition from subsidized engagement to sustainable on-chain utility.
→The Success Outliers: Internal Ecosystem Gains
Only a small segment of projects achieved what could be termed success, though this remained largely confined to the InfoFi circular economy.
→ Succnet: Distinguished by providing real-time data utility for researchers. It is one of the few projects where the airdrop felt like a reward for high-signal analysis rather than automated farming.
→ Newton (NEWT): The primary success story for Kaito "Yappers." It converted social mindshare into a liquid asset, but its valuation remains heavily tethered to the Kaito ecosystem.
→ Laudio (LOUD): Success defined by the sheer scale of its initial distribution. While it reached a massive audience, post-airdrop metrics show a steep decline in organic activity.
→ The Failed Projects: Platforms and Market Rejection
The failure rate for leaderboard-driven projects is staggering. Data indicates that projects launched via these platforms have a negative expected value for passive holders.
→ Kaito The 73% Failure Factory
Kaito’s "Attention-to-Earn" model led to a massive influx of low-quality projects that failed post-TGE.
→ PLAI & XNL: Recorded as the weakest performers on the platform. Both failed to maintain liquidity, leaving community holders with near-worthless allocations.
→ Espresso: A top-ranked project that has faced repeated TGE delays. The community now views the "snapshot" as a stalled event, leading to accusations of a soft rug.
→ Arbus ($ARBUS): A Kaito veteran that extracted maximum social attention but failed to deliver a functional product. The token price flatlined immediately after the hype phase concluded.
→ Cookie The Snaps Shutdown
In January 2026, Cookie DAO announced the termination of "Snaps," its core creator reward platform.
→ Incentive Collapse: The platform pivot was forced by X API restrictions, effectively killing the "Post-to-Earn" logic.
→ BubbledMaps: Promoted heavily via Cookie. The incentive program was systematically drained by automated bot networks, leaving genuine creators with negligible value.
→ AI Agent Tokens: Numerous small-cap AI tokens launched through Cookie failed to reach a TGE. Teams leveraged the platform for free marketing before abandoning the projects.
→ Wallchain The Liquidity Void
Wallchain-backed projects struggled with market depth and technical delivery.
→ Anti-MEV Solutions: Most projects incubated here failed to gain traction against established protocols like Flashbots.
→ Token Depletion: Low organic volume led to a "liquidity hole" where price drops triggered massive sell-offs with no institutional or retail buyers to support the floor.
→ The Monad (MON) Disaster: Technical and Social Failure
Despite being one of the most anticipated Layer-1 launches, Monad is now categorized as a failure in execution and community trust.
→ Exclusionary Airdrop: The distribution excluded over 99% of its Discord community, favoring undisclosed insiders and VC-linked addresses.
→ Technical Incompetence: Broken claim scripts on launch day caused a user to lose $112,000 in MON to gas fees on failed transactions.
→ Security Breaches: The claim portal was compromised, allowing hackers to hijack allocations by binding them to attacker-controlled wallets before users could claim.
→ Market Sentiment: Prominent figures like Arthur Hayes have labeled it a "high FDV, low-float VC coin" with a 99% crash risk.
→ The Structural Flaw
The InfoFi model incentivized attention without requiring retention. Projects used these platforms to purchase a temporary audience, but without a viable protocol, liquidity followed the creators to the next leaderboard.
Was the failure of these projects an indictment of the InfoFi distribution model, or simply a reflection of the low-quality teams that gravitate toward attention-based funding?
NEWT+2.22%
PLAI0.00%

Nashiro_
2026/01/16 07:33
Buy some and lets post it on X
First Targe 0.1250
$MON
MON-4.78%

Digitalsiyal
2026/01/10 03:57
Today's losers
BYTE/USDT -48.38% (0.01213)
RIVER/USDT -21.84% (12.0262)
SAROS/USDT -16.91% (0.002664)
BROCCOLI/USDT -14.68% (0.0279)
SWCH/USDT -12.23% (0.1206)
STABLE/USDT -11.08% (0.01413)
B/USDT -10.5% (0.19541)
MON/USDT -10.05% (0.02506)
APR/USDT -9.95% (0.11662)
NAORIS/USDT -9.63% (0.03414)
$BYTE $RIVER $SAROS
APR-1.61%
MON-4.78%