M (M)Price Live Chart, Prediction, Market Cap, Token Unlocks, M Concept Stocks CoinMeta

BTC

$68,294.07

+2.20%

/M Price

No.42

$2.4232

+2.16%

≈$2.42

Market Cap

$12.92B

Cir. Cap

$3.06B

Cir. Supply

1.26B

Cir. Rate

23.7148%

Total Supply

5.33B

Max Supply

10B

24h Volume

$5.51M

24h Vol (BTC)

13.36M

24h Turnover

0.436057%

Market Share

0.07%

Performance

Low

Range

+0%

High

Listing

$0.07

ATH (2025-07-03)

$2.96

-18.13%

ATL (2025-09-18)

$0.03524

+6775.25%

Official

Contract

BSC: 0x22b1...c731fa

Official

Whitepaper

github

Social

Discord

Network

Converter

OKX Exchange

A leading cryptocurrency trading platform. Sign up to get a 50 USDT crypto mystery box!

Binance Exchange

Binance is a world-leading cryptocurrency exchange platform. Easily buy crypto on your phone.

Chart

Market

About

XBIT Invite: Earn points & commission

Price

Cap

K-line

Depth

1 Hour

1 Day

TradingView

-1.05%

24H

+2.16%

+32.47%

30D

+59.22%

-4.31%

All

+3.36K%

AI Assistant

M下跌原因

M资金流向

M买卖支撑位

M多空比分析

M趋势分析

Ask AI

M Market

CEX Spot

CEX Derivatives

Pairs Funds

#	Exchange	Pairs	Price	+2%Depth	-2%Depth	Volume (24h)
1	gate.io	MUSDT	2.4336	$5,192.05	$6,372.85	255,485
2	MEXC Global	MUSDT	2.42708	$5,192.05	$6,372.85	665,903
3	Hotbit	MUSDT	2.409878	$5,192.05	$6,372.85	1,786,923
4	Bitget	MUSDT	2.426789	$5,192.05	$6,372.85	2,001,673

4 items

Rows

#	Unlock Date	Unlock Amount	Unlock Value	Total Supply %	Unlock Details
1	2026/04/03	56.11M	$135.97M	1.12%	4
2	2026/05/03	56.11M	$135.97M	1.12%	4
3	2026/06/03	56.11M	$135.97M	1.12%	4
4	2026/07/03	56.11M	$135.97M	1.12%	4
5	2026/08/03	56.11M	$135.97M	1.12%	4

About M

MemeCore is the first Layer 1 blockchain, built for Meme 2.0 — a new paradigm where meme coins transcend speculation to become engines of culture, value, and community coordination. In this new era, memes are not just content — they are currency, governance, and creative expression.

73%

26%

Bullish

Bearish

Community

Leo Fan (mainnet arc)

25m ago

A brilliant conversation that just concluded—every developer needs to hear it. The gap between testnet performance and actual mainnet performance is one of the most painful lessons of Web3. Our guests spoke frankly. Moderator: Seung Hyun Lee (@seungjaden), Founder of @CoinEasy Guests: Matthew Felice Pace (@mfelicepace), CEO of @SpectrumNodes Sebastien Borget (@borgetsebastien), Co-founder and Ambassador of @TheSandboxGame Gwen Martin (@Gwenole_M), Head of Developer Relations at @BNBCHAIN Leo Fan (@leofanxiong), Founder and CEO of @cysic_xyz Open and frank, no fluff. This kind of discussion can save teams months of pain. More exciting content coming soon—stay tuned.

317

What currency

47m ago

Baopi Exchange Data Report: Total Spot Trading Volume: 6M; Total Contract Trading Volume: 100M; Total Predicted Market Trading Volume: 0. European Market Launched for Six Months: Estimated Daily Active Users: Less than 10. Because even on DC (Demand Center), it's difficult to get a single active user per day. This is despite incentives. After three years of effort, this is the result of such excellent performance. It's estimated that Baopi Exchange's total trading volume will exceed 200M in three years.

310

Starknet (Privacy arc) 🥷

56m ago

Zero-knowledge bases will revolutionize blockchain, and blockchain will revolutionize our society. They deserve to be written into a book! I've been researching these topics for years, and now I'm co-authoring a book with @NathanOnCrypto exploring the problems they can solve and the future they represent. Stay tuned, pre-orders are available now!

376

Lu Yao | Trader

1h ago

What stage of the bear market are we in now? I'm feeling increasingly less motivated to express my opinions, and less inclined to post anything... Is this a market problem or my problem? Do you guys have this problem? 🙃

459

DeFi PANDA 🐼

1h ago

Holding altcoins on Binance looks scary. What if the bottom looks like this? I invested $65,000 in NTRN and only made $500. Haha, my initial goal was to double my money, but this altcoin rally looks terrible. Now I'm worried about other coins, especially $BIO, $ENA, $MIRA, $XPL, etc. What if the bottom looks like this? @paulkhls Looks like $BIO is next, haha. @binance If you buy altcoins on a central exchange, remember the bottom might look like this. It's best to stay away from altcoins; they've been performing poorly since 2023/24. @binance What about my other positions? I'll wait until the break-even point or the bottom also drops to $500.

423

Cindy (Fatty Di) 🥰

1h ago

Every time I get angry, I ask myself: Is this person worthy of being a breast cancer patient stored in my breasts? My breasts are already big enough, they can't hold any more… After asking myself this, I'm not angry anymore…🤡 Just deal with whatever comes my way~

468

Diving Observer 🇨🇳

1h ago

I'm disgusted. How could I make such a mistake?

393

DeFi miner 🔶 BNB

1h ago

I'm planning a trip next week. A four-night hotel is 1723 RMB on Ctrip, but only 1579 RMB on Xianyu. Is it worth booking on Xianyu? 🤔 It doesn't seem like I'll save much money.

409

Haotian | CryptoInsight

1h ago

Let's talk about the accidental leak of @claudeai's source code. In short: this production-grade Agent OS system design provides @openclaw with a solid model for building systems engineering capabilities, and the AI OS field is about to reach new heights: 1) In the past two years, the core problem for agents has never been that the models weren't smart enough, but that the systems weren't reliable enough. Models can write code, but writing code doesn't guarantee it will run. Models can execute tasks, but after running for a long time, the context decays, creating illusions upon illusions. Models can remember things, but no one tells them what to remember or how to verify if the memory is correct. In Claude Code's source code, these three problems all have clear engineering solutions: --Context decay: A three-layer memory architecture, with only lightweight indexes in the resident context pointing to external files, and historical conversations never read back in their entirety, only the necessary fragments are grepped. Writing is strictly disciplined; the index is only updated upon successful file writing, and failed attempts are not entered into the memory. --Generation does not equal completion: A separate verification agent is dedicated to verification. The system prompts themselves contain 2866 tokens, completely separated from the generation module. In addition, an assertiveness counterweight mechanism actively questions its own conclusions, ensuring that "appearing complete" is not considered "truly complete." --How tasks survive when the user is not present: KAIROS, a background daemon appearing more than 150 times in the code, continuously runs autoDream when unsupervised, integrating observations, removing contradictory inferences, and solidifying vague impressions into clear facts. When the user returns, the agent's state is proactively maintained. Putting these three solutions together, Anthropic's logical approach becomes clear: decoupling model capabilities from system reliability. The model is responsible for generation, while the system is responsible for verification, memory, recovery, and scheduling. 2) This set of engineering capabilities and optimization logic is precisely OpenClaw's current weakest point. Despite OpenClaw's meteoric rise to over 340,000 GitHub stars in just five months—a speed rarely matched in open-source history—community criticism has been constant. Issues include: task looping, false completions (the agent reports "complete" as soon as the code is written, without any verification), state loss, rudimentary memory management relying solely on markdown, and widespread plugin crashes after refactoring. These aren't random bugs; the root cause boils down to one thing: a lack of systematic engineering capabilities for managing global state. Now, by referencing the leaked source code of Claude Code, we can simply copy the solution, filling in the gaps and providing a clear reference: No independent verification sub-agent → Refer to the Verification Specialist architecture, forcing an independent verification layer after execution; Memory relies on whole-segment reads and writes → Refer to a three-layer memory architecture + strict write discipline, separating context indexes from actual content; Task state is not persistent → Refer to 25+ lifecycle hooks + sessionId recovery mechanism, making "no task loss upon restart" a standard feature; Lack of robust tool permissions → Refer to 2500 lines of bash verification logic + permission schema, performing verification and permission grading before each tool execution; That's all. Honestly, I'm looking forward to the next version of OpenClaw. Because if this approach is carefully ported in, all the problems that OpenClaw currently faces criticism might be easily solved. And once these advantages are addressed, OpenClaw's inherent strengths—local operation, privacy protection, and an open ecosystem—will truly be accelerated, which is precisely the outcome Anthropic least wants to see. Haha, what a coincidental, man-made mishap, happening precisely when Anthropic was frantically iterating its product line and OpenClaw's momentum was waning. Now, let's see how the OpenClaw ecosystem performs in this situation.

389

Bitcoin tycoon daheng.btc

1h ago

Today is April Fool's Day. I said I'd give away 10,000 RMB, and asked if anyone would participate by leaving their Binance UID. I'm just asking if anyone believes me. Is it an April Fool's joke or a real giveaway? I'm not telling you.

313