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$NEAR is back at $4.40, up 1.8% in 24h, but the real test is still $4.80. A clean breakout there could shift the structure and open a path toward $6, with $10 becoming a longer-term upside target rather than a random call. For now, the setup is still choppy: 4h RSI sits near 49, volume is only 0.1x its 20-day average, and longs are paying 0.007% funding. Patience until buyers prove it. #NEAR #Layer1 #Altcoin Inspired by ZoneBull on Binance Square.
$NEAR is back at $4.40, up 1.8% in 24h, but the real test is still $4.80. A clean breakout there could shift the structure and open a path toward $6, with $10 becoming a longer-term upside target rather than a random call. For now, the setup is still choppy: 4h RSI sits near 49, volume is only 0.1x its 20-day average, and longs are paying 0.007% funding. Patience until buyers prove it. #NEAR #Layer1 #Altcoin

Inspired by ZoneBull on Binance Square.
$DOT loses $0.90 next, and I’ll call the bounce thesis dead. I’m owning that call. At $0.9480, DOT is down 2.07% today and 2.8% in the latest 4h window. RSI sits at 41, while price stays below both the 20d and 50d MAs. Ugly chart. 📉 But volume is only 0.1x the 20d average, so this isn’t heavy conviction selling yet. Funding is positive at 0.008%, meaning longs are still paying while $BTC remains the market’s gravity well. If $DOT tags $0.90, I’m watching for a flush and reclaim, not blindly chasing weakness. If it holds, I’ll admit the bears got too comfortable. 🔥 Does $DOT reclaim $1 first, or lose $0.90? #Polkadot #Layer1
$DOT loses $0.90 next, and I’ll call the bounce thesis dead.

I’m owning that call. At $0.9480, DOT is down 2.07% today and 2.8% in the latest 4h window. RSI sits at 41, while price stays below both the 20d and 50d MAs. Ugly chart. 📉

But volume is only 0.1x the 20d average, so this isn’t heavy conviction selling yet. Funding is positive at 0.008%, meaning longs are still paying while $BTC remains the market’s gravity well.

If $DOT tags $0.90, I’m watching for a flush and reclaim, not blindly chasing weakness. If it holds, I’ll admit the bears got too comfortable. 🔥

Does $DOT reclaim $1 first, or lose $0.90?

#Polkadot #Layer1
$SOL at $95.67 is being sold like it broke. It hasn’t. Up 1.34% today, +0.8% in the last 4h, while 4h RSI sits at 39. That’s not euphoria. That’s a washed-out chart with price still below the 20d and 50d MAs. 📉 Volume is only 0.3x its 20d average, so this bounce has no crowd behind it yet. Even $ETH looks more loved right now. At $100, I’d trim risk, not chase. Longs paying 0.007% into this setup is the tell. 🔥 #Solana #Layer1 #Altcoin
$SOL at $95.67 is being sold like it broke. It hasn’t.

Up 1.34% today, +0.8% in the last 4h, while 4h RSI sits at 39. That’s not euphoria. That’s a washed-out chart with price still below the 20d and 50d MAs. 📉

Volume is only 0.3x its 20d average, so this bounce has no crowd behind it yet. Even $ETH looks more loved right now.

At $100, I’d trim risk, not chase. Longs paying 0.007% into this setup is the tell. 🔥

#Solana #Layer1 #Altcoin
⚡ $SUI ABSORBS THE LOWS AND CARVES OUT AN AGGRESSIVE RANGE RECLAIM! 🟢 Entry: 0.9010 ⚡ The bid has firmly stepped in at $0.9010 as buyers aggressively soak up selling pressure across the lower boundary. 📊 When an asset abruptly halts downward expansion and prints consecutive green momentum candles, smart money is usually positioning for the flip. ⚡ Order books are tightening fast as spot demand begins punching straight through localized supply. 💡 If buyers hold ground above this structural pivot, the runway for a broader liquidity sweep opens up significantly. 💬 Are you loading spot on this reversal or waiting for higher confirmation? 👇 ⚠️ Not financial advice. Always manage your risk. 🛡️ 🏷️ #SUI #Layer1 #Altcoins #CryptoMomentum ⚡ 💎
⚡ $SUI ABSORBS THE LOWS AND CARVES OUT AN AGGRESSIVE RANGE RECLAIM! 🟢

Entry: 0.9010 ⚡

The bid has firmly stepped in at $0.9010 as buyers aggressively soak up selling pressure across the lower boundary. 📊 When an asset abruptly halts downward expansion and prints consecutive green momentum candles, smart money is usually positioning for the flip.

⚡ Order books are tightening fast as spot demand begins punching straight through localized supply. 💡 If buyers hold ground above this structural pivot, the runway for a broader liquidity sweep opens up significantly.

💬 Are you loading spot on this reversal or waiting for higher confirmation? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #SUI #Layer1 #Altcoins #CryptoMomentum

⚡ 💎
🔺 $AVAX : Avalanche and the "Launch Your Own Chain" Model AVAX powers Avalanche, which lets projects launch their own custom blockchains (L1s) connected to the network. Why that matters 👇 🔹 Games, institutions and apps can have their own rules 🔹 Interest from tokenization and finance projects 🔹 Fast finality on the main chain Comparison: similar to the multi-chain ideas of $DOT , while competing with $SOL for apps and users. ⚠️ Risks: custom chains must bring real activity back to AVAX's value. 💬 Do you think every big app will eventually have its own chain? 👇 ⚠️ Educational content only, not financial advice. DYOR. #AVAX #Avalanche #Layer1 #BinanceSquare
🔺 $AVAX : Avalanche and the "Launch Your Own Chain" Model

AVAX powers Avalanche, which lets projects launch their own custom blockchains (L1s) connected to the network.

Why that matters 👇
🔹 Games, institutions and apps can have their own rules
🔹 Interest from tokenization and finance projects
🔹 Fast finality on the main chain

Comparison: similar to the multi-chain ideas of $DOT , while competing with $SOL for apps and users.

⚠️ Risks: custom chains must bring real activity back to AVAX's value.

💬 Do you think every big app will eventually have its own chain? 👇

⚠️ Educational content only, not financial advice. DYOR.
#AVAX #Avalanche #Layer1 #BinanceSquare
🌐 $NEAR : The Chain That Bet on AI Early NEAR has been one of the most searched coins recently. Here's what it's about 👇 What NEAR does: 🔹 A sharded layer-1 designed to scale 🔹 Focus on "chain abstraction" — using crypto apps without worrying about which chain you're on 🔹 A strong push into AI-related products and agents Why it gets attention: When the AI narrative heats up, NEAR is often grouped with AI tokens like $FET and $TAO . ⚠️ Risks: 🔻 Competition from many other layer-1s 🔻 Narrative-driven moves can reverse fast 💬 Is NEAR an AI play or a layer-1 play for you? 👇 ⚠️ Educational content only, not financial advice. DYOR. #NEAR #AI #Layer1 #BinanceSquare
🌐 $NEAR : The Chain That Bet on AI Early

NEAR has been one of the most searched coins recently. Here's what it's about 👇

What NEAR does:
🔹 A sharded layer-1 designed to scale
🔹 Focus on "chain abstraction" — using crypto apps without worrying about which chain you're on
🔹 A strong push into AI-related products and agents

Why it gets attention:
When the AI narrative heats up, NEAR is often grouped with AI tokens like $FET and $TAO .

⚠️ Risks:
🔻 Competition from many other layer-1s
🔻 Narrative-driven moves can reverse fast

💬 Is NEAR an AI play or a layer-1 play for you? 👇

⚠️ Educational content only, not financial advice. DYOR.
#NEAR #AI #Layer1 #BinanceSquare
⚡ $SUI ABSORBS THE SECTOR SHOCKWAVE WITH RELENTLESS BID STRENGTH! 📈 When broad sector shockwaves hit the tape, true relative strength reveals itself immediately. While panic sellers dumped across the market following yesterday's exchange security incident, $SUI absorbed the entire wave of liquidity sweeps like a sponge. 🌊 Institutional bids stepped in with conviction, aggressively defending key structure and triggering a clean reclaim. 📊 Order books show steady accumulation while sideline bears hesitate, caught off-guard by the velocity of this bounce. This degree of price insulation often signals serious capital preparing to front-run the next expansion phase. 🤔 Are you buying into this relative strength or waiting for another market sweep? 👇 ⚠️ Not financial advice. Always manage your risk. 🛡️ 🏷️ #SUI #Layer1 #RelativeStrength #Altcoins 🔥 💎
⚡ $SUI ABSORBS THE SECTOR SHOCKWAVE WITH RELENTLESS BID STRENGTH! 📈

When broad sector shockwaves hit the tape, true relative strength reveals itself immediately. While panic sellers dumped across the market following yesterday's exchange security incident, $SUI absorbed the entire wave of liquidity sweeps like a sponge. 🌊

Institutional bids stepped in with conviction, aggressively defending key structure and triggering a clean reclaim. 📊 Order books show steady accumulation while sideline bears hesitate, caught off-guard by the velocity of this bounce.

This degree of price insulation often signals serious capital preparing to front-run the next expansion phase. 🤔 Are you buying into this relative strength or waiting for another market sweep? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #SUI #Layer1 #RelativeStrength #Altcoins

🔥 💎
🧪 $ADA : Cardano's Slow-and-Steady Approach ADA is famous for doing things differently: peer-reviewed research before shipping features. What defines Cardano 👇 🔹 Proof-of-stake (Ouroboros) with a large staking community 🔹 Strong focus on governance by token holders 🔹 A loyal, long-term community The debate: Supporters call it careful engineering. Critics say it's too slow vs fast movers like $SOL and $SUI . ⚠️ What to watch: real DeFi activity and developer adoption. 💬 Is slow and careful a strength or a weakness in crypto? 👇 ⚠️ Educational content only, not financial advice. DYOR. #ADA #Cardano #Layer1 #BinanceSquare
🧪 $ADA : Cardano's Slow-and-Steady Approach

ADA is famous for doing things differently: peer-reviewed research before shipping features.

What defines Cardano 👇
🔹 Proof-of-stake (Ouroboros) with a large staking community
🔹 Strong focus on governance by token holders
🔹 A loyal, long-term community

The debate:
Supporters call it careful engineering. Critics say it's too slow vs fast movers like $SOL and $SUI .

⚠️ What to watch: real DeFi activity and developer adoption.

💬 Is slow and careful a strength or a weakness in crypto? 👇

⚠️ Educational content only, not financial advice. DYOR.
#ADA #Cardano #Layer1 #BinanceSquare
💧 $SUI : The Layer-1 Built for Speed and Objects SUI has become one of the most talked-about newer layer-1s. Here's why 👇 What makes it different: 🔹 Built with the Move programming language 🔹 An "object-based" model that allows parallel transactions 🔹 Fast finality, aimed at games, payments and DeFi Comparison: It's often compared to $APT (also Move-based) and $SOL (also built for speed). ⚠️ Risks to watch: 🔻 Token unlock schedules 🔻 Ecosystem activity vs hype 🔻 Competition from established chains 💬 SUI, APT or SOL — which fast chain wins? 👇 ⚠️ Educational content only, not financial advice. DYOR. #SUI #Layer1 #Move #BinanceSquare
💧 $SUI : The Layer-1 Built for Speed and Objects

SUI has become one of the most talked-about newer layer-1s. Here's why 👇

What makes it different:
🔹 Built with the Move programming language
🔹 An "object-based" model that allows parallel transactions
🔹 Fast finality, aimed at games, payments and DeFi

Comparison:
It's often compared to $APT (also Move-based) and $SOL (also built for speed).

⚠️ Risks to watch:
🔻 Token unlock schedules
🔻 Ecosystem activity vs hype
🔻 Competition from established chains

💬 SUI, APT or SOL — which fast chain wins? 👇

⚠️ Educational content only, not financial advice. DYOR.
#SUI #Layer1 #Move #BinanceSquare
🅰️ $APT : Aptos and the Legacy of Meta's Blockchain Project APT was built by a team that came from Meta's Diem blockchain project. When Diem ended, the technology lived on. What Aptos focuses on 👇 🔹 Move language for safer smart contracts 🔹 Parallel execution for high throughput 🔹 Partnerships with traditional finance and big brands Comparison: often grouped with $SUI , its Move-based sibling, and competing with $SOL for speed-focused users. ⚠️ Keep an eye on: 🔻 Token unlocks 🔻 Real user activity vs announcements 💬 Do big-company partnerships matter in crypto, or only users? 👇 ⚠️ Educational content only, not financial advice. DYOR. #APT #Aptos #Layer1 #BinanceSquare
🅰️ $APT : Aptos and the Legacy of Meta's Blockchain Project

APT was built by a team that came from Meta's Diem blockchain project. When Diem ended, the technology lived on.

What Aptos focuses on 👇
🔹 Move language for safer smart contracts
🔹 Parallel execution for high throughput
🔹 Partnerships with traditional finance and big brands

Comparison: often grouped with $SUI , its Move-based sibling, and competing with $SOL for speed-focused users.

⚠️ Keep an eye on:
🔻 Token unlocks
🔻 Real user activity vs announcements

💬 Do big-company partnerships matter in crypto, or only users? 👇

⚠️ Educational content only, not financial advice. DYOR.
#APT #Aptos #Layer1 #BinanceSquare
$NEAR SHAKES OUT SPECULATORS AS INSTITUTIONAL ACCUMULATION EYES RESISTANCE RECLAIM ⚡ 🦈 Target: 4.60 🎯 The recent wash-out across $NEAR effectively engineered sell-side liquidity, clearing late positions right into an institutional demand zone. 🌊 Order flow demonstrates aggressive absorption at the lows, with smart money defending the structural floor and driving price straight into overhead supply. 📌 Chasing momentum into major resistance offers poor risk asymmetry, while a clean structural close opens an efficient path toward liquidity resting above. 📊 As order books tighten near this inflection point, the priority remains disciplined execution over premature entries. 🤔 Are you anticipating a clean breakout retest here, or waiting for another liquidity sweep below the range? ⚠️ Not financial advice. Always manage your risk. 🛡️ 🏷️ #NEAR #MarketStructure #CryptoTrading #Layer1 🎯 🦈
$NEAR SHAKES OUT SPECULATORS AS INSTITUTIONAL ACCUMULATION EYES RESISTANCE RECLAIM ⚡ 🦈

Target: 4.60 🎯

The recent wash-out across $NEAR effectively engineered sell-side liquidity, clearing late positions right into an institutional demand zone. 🌊 Order flow demonstrates aggressive absorption at the lows, with smart money defending the structural floor and driving price straight into overhead supply.

📌 Chasing momentum into major resistance offers poor risk asymmetry, while a clean structural close opens an efficient path toward liquidity resting above. 📊 As order books tighten near this inflection point, the priority remains disciplined execution over premature entries.

🤔 Are you anticipating a clean breakout retest here, or waiting for another liquidity sweep below the range?

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #NEAR #MarketStructure #CryptoTrading #Layer1

🎯 🦈
🔗 $DOT : Is Polkadot Ready for a Comeback? DOT is back on the most-searched lists. Polkadot was one of the hottest projects of the last cycle — so what now? The idea behind Polkadot 👇 A network of connected chains that share security, allowing different blockchains to communicate. What to watch: ✅ Real activity on its connected chains ✅ Upgrades that simplify the network ✅ How DOT performs vs other older layer-1s like $ADA and $AVAX ⚠️ Reality: Being an "old favorite" doesn't guarantee a comeback. Old leaders don't always lead again. 💬 Polkadot: comeback candidate or past cycle story? 👇 ⚠️ Educational content only, not financial advice. DYOR. #DOT #Polkadot #Layer1 #BinanceSquare
🔗 $DOT : Is Polkadot Ready for a Comeback?

DOT is back on the most-searched lists. Polkadot was one of the hottest projects of the last cycle — so what now?

The idea behind Polkadot 👇
A network of connected chains that share security, allowing different blockchains to communicate.

What to watch:
✅ Real activity on its connected chains
✅ Upgrades that simplify the network
✅ How DOT performs vs other older layer-1s like $ADA and $AVAX

⚠️ Reality:
Being an "old favorite" doesn't guarantee a comeback. Old leaders don't always lead again.

💬 Polkadot: comeback candidate or past cycle story? 👇

⚠️ Educational content only, not financial advice. DYOR.
#DOT #Polkadot #Layer1 #BinanceSquare
Several layer-1 networks are competing for developer activity and user adoption. $HBAR — Hedera's enterprise-focused network model remains a key part of its market narrative. $SUI — Sui's ecosystem growth and network activity are important signals for traders. $APT — Aptos continues to develop its ecosystem, with adoption and liquidity worth monitoring. #HBAR #SUI #APT #Layer1 #CryptoMarket
Several layer-1 networks are competing for developer activity and user adoption.

$HBAR — Hedera's enterprise-focused network model remains a key part of its market narrative.
$SUI — Sui's ecosystem growth and network activity are important signals for traders.
$APT — Aptos continues to develop its ecosystem, with adoption and liquidity worth monitoring.

#HBAR #SUI #APT #Layer1 #CryptoMarket
Checking in on the hour, $BNB was still the asset talked about most this hour; everything else was quiet. $BNB moved from 709 to 712 this hour, +0.39%. The high was 716, the low was 709, the range was 0.99%, and volume was 1.63 times that of the previous hour. $BNB is now stuck in the middle, sitting at 69% of the range. Above, only look for 723 if a 15-minute candle closes above 716. Below, if it breaks 703, look for 696. Invalidation levels are set in stone: if it falls back to 711 after breaking up, cross out the long setup; if it closes back above 708 after breaking down, cross out the short setup. Honestly, hype doesn’t solve the problem. In the public-chain sector, $SOL is up +0.1%, while $NEAR is up +1.1%—the same group, but not moving in sync. Just my own notes, not investment advice. At a level like this, are you waiting for a retest or waiting for it to choose a direction on its own? #BNB #Layer1 #Cryptocurrency
Checking in on the hour, $BNB was still the asset talked about most this hour; everything else was quiet.

$BNB moved from 709 to 712 this hour, +0.39%. The high was 716, the low was 709, the range was 0.99%, and volume was 1.63 times that of the previous hour.

$BNB is now stuck in the middle, sitting at 69% of the range.

Above, only look for 723 if a 15-minute candle closes above 716. Below, if it breaks 703, look for 696.

Invalidation levels are set in stone: if it falls back to 711 after breaking up, cross out the long setup; if it closes back above 708 after breaking down, cross out the short setup.

Honestly, hype doesn’t solve the problem.

In the public-chain sector, $SOL is up +0.1%, while $NEAR is up +1.1%—the same group, but not moving in sync.

Just my own notes, not investment advice.

At a level like this, are you waiting for a retest or waiting for it to choose a direction on its own?
#BNB #Layer1 #Cryptocurrency
$NEAR has some action today. The current price is 4.5350, up 5.8% over the past 24 hours, with $76 million in trading volume. Volume has been fairly steady, with no signs of a wild pump-and-dump. Looking at the data: RSI(14) has reached 69, just a hair below the overbought threshold of 70. The trend is still firmly bullish, but the risk of chasing prices in the short term is building. The 24-hour range is 5.3%, indicating that volatility is still fairly contained—not an emotionally driven surge. My take: The bullish setup is still intact, but with RSI at this level, blindly chasing the price isn't a good idea. If it pulls back to around 4.3–4.4 and holds, that could be a more comfortable level to watch. If it pushes higher right away, we'll need to see whether volume can keep up; current trading volume may not be enough to support a major rally. As for trading, those already holding can wait and see. If you're not in, don't rush into FOMO—waiting for a confirmed pullback is a safer bet. What do you think? Share your levels in the comments. $NEAR #NEAR #Layer1
$NEAR has some action today. The current price is 4.5350, up 5.8% over the past 24 hours, with $76 million in trading volume. Volume has been fairly steady, with no signs of a wild pump-and-dump.

Looking at the data: RSI(14) has reached 69, just a hair below the overbought threshold of 70. The trend is still firmly bullish, but the risk of chasing prices in the short term is building. The 24-hour range is 5.3%, indicating that volatility is still fairly contained—not an emotionally driven surge.

My take: The bullish setup is still intact, but with RSI at this level, blindly chasing the price isn't a good idea. If it pulls back to around 4.3–4.4 and holds, that could be a more comfortable level to watch. If it pushes higher right away, we'll need to see whether volume can keep up; current trading volume may not be enough to support a major rally. As for trading, those already holding can wait and see. If you're not in, don't rush into FOMO—waiting for a confirmed pullback is a safer bet.

What do you think? Share your levels in the comments.

$NEAR #NEAR #Layer1
⚡ $NEAR CATALYSTS STACK UP WHILE PRICE DIGESTS TOWARD KEY ACCUMULATION 🎯 Entry: 3.8 ⚡ 💡 Next week brings a stacked slate of ecosystem rollouts powered by NEAR Intents, covering equity perps, privacy protocols, and meme markets. Yet the order book tells a cautious story, with price moving sideways to digest earlier aggressive expansions. 📊 Chasing green candles into overhead resistance makes little sense when liquidity favors a cleaner reset. Patient money is watching for bids to fill around 3.8 where structural demand can absorb the chop. 💬 Are you front-running this ecosystem catalyst now, or waiting for 3.8 to trigger your bid? 👇 ⚠️ Not financial advice. Always manage your risk. 🛡️ 🏷️ #NEAR #Altcoins #Layer1 #CryptoTrading 🎯 🦈
⚡ $NEAR CATALYSTS STACK UP WHILE PRICE DIGESTS TOWARD KEY ACCUMULATION 🎯

Entry: 3.8 ⚡

💡 Next week brings a stacked slate of ecosystem rollouts powered by NEAR Intents, covering equity perps, privacy protocols, and meme markets. Yet the order book tells a cautious story, with price moving sideways to digest earlier aggressive expansions.

📊 Chasing green candles into overhead resistance makes little sense when liquidity favors a cleaner reset. Patient money is watching for bids to fill around 3.8 where structural demand can absorb the chop. 💬 Are you front-running this ecosystem catalyst now, or waiting for 3.8 to trigger your bid? 👇

⚠️ Not financial advice. Always manage your risk. 🛡️

🏷️ #NEAR #Altcoins #Layer1 #CryptoTrading

🎯 🦈
$NEAR a US$4.434: Does it break 4.724 or retreat to 4.345? $NEAR is trading at US$4.434, up 2.17% in 24h, within the 4.239‑4.469 range. The EMAs are at 4.395 (20) and 4.527 (50), and the RSI at 50.3 indicates neutrality. The price is respecting support at 4.345 and resistance at 4.724. If it retests 4.345, the next floor is 3.909; if it rises above 4.724, the next ceiling is 5.17. On Binance Futures, funding is at +0.0100% and open interest fell 0.2%, with 54% of accounts long. Meanwhile, $PEPE is down 3.3% and $ZEC is up 3.0% in 24h, with volumes of 74 M and 105 M, respectively. My take: the market is moving sideways, so I wouldn’t jump in now; a clear breakout to the upside would make me enter, but a break below 4.345 would signal weakness. On the downside, a drop below 4.345 would invalidate any bullish rebound. Will it break 4.724 or return to 4.345? 🟢/🔴 #NEAR #Layer1 #FuturosBinance This is not financial advice. Do your own research before investing.
$NEAR a US$4.434: Does it break 4.724 or retreat to 4.345?

$NEAR is trading at US$4.434, up 2.17% in 24h, within the 4.239‑4.469 range. The EMAs are at 4.395 (20) and 4.527 (50), and the RSI at 50.3 indicates neutrality.

The price is respecting support at 4.345 and resistance at 4.724. If it retests 4.345, the next floor is 3.909; if it rises above 4.724, the next ceiling is 5.17.

On Binance Futures, funding is at +0.0100% and open interest fell 0.2%, with 54% of accounts long. Meanwhile, $PEPE is down 3.3% and $ZEC is up 3.0% in 24h, with volumes of 74 M and 105 M, respectively.

My take: the market is moving sideways, so I wouldn’t jump in now; a clear breakout to the upside would make me enter, but a break below 4.345 would signal weakness. On the downside, a drop below 4.345 would invalidate any bullish rebound.

Will it break 4.724 or return to 4.345? 🟢/🔴

#NEAR #Layer1 #FuturosBinance

This is not financial advice. Do your own research before investing.
Monad launched 11 months ago: $889 million on-chain, but the token has fallen below its $0.025 sale price From November 17 to 22 last year, Monad sold 7.5 billion MON on Coinbase for $0.025 per token, raising about $269 million in total, with 85,800 participants. Two days later, the mainnet and token launched together, and the price briefly climbed to around $0.048—roughly 90% above the sale price. The excitement at the time was easy to understand: a new chain claiming to make Ethereum run faster, combined with the first project on Coinbase’s new token sale platform, was bound to attract plenty of attention. So what exactly is Monad? It’s an Ethereum Virtual Machine-compatible Layer 1, meaning applications and tools on Ethereum can be moved over without changing their code. The difference is in how transactions are processed. Ethereum executes transactions one by one, while Monad assumes that most transactions won’t interfere with each other and runs them in parallel. It then checks for conflicts; any transaction that clashes is rerun with the correct data. The final result is the same as if transactions had been executed sequentially. Block times are about 0.4 seconds, and around 10,000 transactions per second is a design target, not a measured result. The aim is to support high-frequency trading and high-traffic applications. Its consensus mechanism is called MonadBFT, which advances in a pipelined fashion. The state layer has its own system, MonadDB, designed specifically to address data read and write bottlenecks under heavy concurrency. Eleven months after launch, here’s what the on-chain ledger looks like. According to DefiLlama data from October 31, Monad had $889.04 million in DeFi TVL, $632.74 million in on-chain stablecoin market capitalization, $28.45 million in decentralized exchange volume over the past 24 hours, $12.71 million in perpetuals volume, 5.85 million transactions in 24 hours, and 10,710 active addresses. TVL and transaction counts show that the chain isn’t just spinning its wheels—people are genuinely putting money and transactions on it. Compare that with Nansen’s figures from the first day after launch: more than 3 million transactions, 140,000 addresses, and over 18,000 contracts. But be careful about the metrics: the 140,000 figure from the early days was cumulative addresses, while the 10,710 figure for October 31 is daily active addresses. The two numbers can’t be directly compared to measure growth or decline. Spread across just over 10,000 active addresses, 5.85 million transactions in a day works out to more than 500 per address on average. Activity is heavily concentrated among a small number of high-frequency addresses; ordinary users aren’t making anywhere near that many transactions. But there’s a striking contrast in the same table. Over the past 24 hours, the chain itself collected just $11,224 in fees, while applications on the chain collected $254,725—more than 20 times as much. The chain gets plenty of use but collects little. That’s where Monad stands right now. Low fees are good for users, but token holders need to look at the other side of the equation: fees are not yet a major source of value for MON. At a little over $10,000 a day, that comes to just over $4 million a year. Compared with $889 million in TVL, that’s a very thin margin. Now let’s look at the token ledger. MON has a total supply of 100 billion tokens, with about 10.8 billion in circulation at launch, including 7.5 billion sold publicly and 3.3 billion airdropped. Circulating supply is now about 11.8 billion, which also checks out when calculated from DefiLlama’s October 31 market cap of $226.64 million and the current price of $0.019. The team holds 27%, investors 19.7%, and the treasury and other allocations about 4%; roughly half the supply is still locked up, with all of it scheduled to be released by the fourth quarter of 2029. At $0.019, the current price is about 24% below the $0.025 sale price. The gains made by those who bought at the launch spike have long since evaporated, and anyone still holding tokens bought at the sale price is sitting on a paper loss. For retail investors, there are really three takeaways here. First, TVL and transaction counts are worth watching, but don’t focus only on those two figures. How much a chain collects in fees each day is a better indicator of whether the token has a source of value. Second, applications making money doesn’t mean the token is making money. Application fees and chain fees are two separate ledgers, so be clear about where the money is going. Third, circulating supply is still gradually increasing, with new supply coming until 2029. Whenever the price rises, there may be newly unlocked tokens waiting to be sold. My view is that Monad’s technical story makes sense, and its on-chain ledger doesn’t look bad, but the token’s ledger still doesn’t add up. At $0.019, three things are true at once: the price is below the sale price, unlocks are still ongoing, and fees remain very thin. It’s too early to rush to a conclusion, whether bullish or bearish. When you look at a new chain, do you check its TVL first, or how much it collects in fees each day? #Monad #并行EVM #Layer1 #项目拆解 $MON —— web3 Leek Xiao Kai The views expressed above are personal opinions only and do not constitute investment advice.
Monad launched 11 months ago: $889 million on-chain, but the token has fallen below its $0.025 sale price

From November 17 to 22 last year, Monad sold 7.5 billion MON on Coinbase for $0.025 per token, raising about $269 million in total, with 85,800 participants. Two days later, the mainnet and token launched together, and the price briefly climbed to around $0.048—roughly 90% above the sale price. The excitement at the time was easy to understand: a new chain claiming to make Ethereum run faster, combined with the first project on Coinbase’s new token sale platform, was bound to attract plenty of attention.

So what exactly is Monad? It’s an Ethereum Virtual Machine-compatible Layer 1, meaning applications and tools on Ethereum can be moved over without changing their code. The difference is in how transactions are processed. Ethereum executes transactions one by one, while Monad assumes that most transactions won’t interfere with each other and runs them in parallel. It then checks for conflicts; any transaction that clashes is rerun with the correct data. The final result is the same as if transactions had been executed sequentially. Block times are about 0.4 seconds, and around 10,000 transactions per second is a design target, not a measured result. The aim is to support high-frequency trading and high-traffic applications. Its consensus mechanism is called MonadBFT, which advances in a pipelined fashion. The state layer has its own system, MonadDB, designed specifically to address data read and write bottlenecks under heavy concurrency.

Eleven months after launch, here’s what the on-chain ledger looks like. According to DefiLlama data from October 31, Monad had $889.04 million in DeFi TVL, $632.74 million in on-chain stablecoin market capitalization, $28.45 million in decentralized exchange volume over the past 24 hours, $12.71 million in perpetuals volume, 5.85 million transactions in 24 hours, and 10,710 active addresses. TVL and transaction counts show that the chain isn’t just spinning its wheels—people are genuinely putting money and transactions on it. Compare that with Nansen’s figures from the first day after launch: more than 3 million transactions, 140,000 addresses, and over 18,000 contracts. But be careful about the metrics: the 140,000 figure from the early days was cumulative addresses, while the 10,710 figure for October 31 is daily active addresses. The two numbers can’t be directly compared to measure growth or decline. Spread across just over 10,000 active addresses, 5.85 million transactions in a day works out to more than 500 per address on average. Activity is heavily concentrated among a small number of high-frequency addresses; ordinary users aren’t making anywhere near that many transactions.

But there’s a striking contrast in the same table. Over the past 24 hours, the chain itself collected just $11,224 in fees, while applications on the chain collected $254,725—more than 20 times as much. The chain gets plenty of use but collects little. That’s where Monad stands right now. Low fees are good for users, but token holders need to look at the other side of the equation: fees are not yet a major source of value for MON. At a little over $10,000 a day, that comes to just over $4 million a year. Compared with $889 million in TVL, that’s a very thin margin.

Now let’s look at the token ledger. MON has a total supply of 100 billion tokens, with about 10.8 billion in circulation at launch, including 7.5 billion sold publicly and 3.3 billion airdropped. Circulating supply is now about 11.8 billion, which also checks out when calculated from DefiLlama’s October 31 market cap of $226.64 million and the current price of $0.019. The team holds 27%, investors 19.7%, and the treasury and other allocations about 4%; roughly half the supply is still locked up, with all of it scheduled to be released by the fourth quarter of 2029. At $0.019, the current price is about 24% below the $0.025 sale price. The gains made by those who bought at the launch spike have long since evaporated, and anyone still holding tokens bought at the sale price is sitting on a paper loss.

For retail investors, there are really three takeaways here. First, TVL and transaction counts are worth watching, but don’t focus only on those two figures. How much a chain collects in fees each day is a better indicator of whether the token has a source of value. Second, applications making money doesn’t mean the token is making money. Application fees and chain fees are two separate ledgers, so be clear about where the money is going. Third, circulating supply is still gradually increasing, with new supply coming until 2029. Whenever the price rises, there may be newly unlocked tokens waiting to be sold.

My view is that Monad’s technical story makes sense, and its on-chain ledger doesn’t look bad, but the token’s ledger still doesn’t add up. At $0.019, three things are true at once: the price is below the sale price, unlocks are still ongoing, and fees remain very thin. It’s too early to rush to a conclusion, whether bullish or bearish.

When you look at a new chain, do you check its TVL first, or how much it collects in fees each day?

#Monad #并行EVM #Layer1 #项目拆解 $MON

—— web3 Leek Xiao Kai
The views expressed above are personal opinions only and do not constitute investment advice.
Sui just lost 30% while Samsung, Brazil and $500M in Bitcoin capital are all moving onto it. Who's wrong? 👀 Samsung Wallet is bringing USDC on Sui to 82M phones. Mercado Bitcoin just opened Sui to 4.5M clients. Hashi is coming with $500M+ committed. The price still fell to 0.8934. The reason is leverage: about $1.37B in perp open interest, nearly a third of its market cap. When longs get flushed, good news doesn't matter. 0.8277 is the line. If it holds, I'm in above 0.96, targeting 1.11 then 1.29. If it breaks, I'm out. Are you buying the news or fearing the flush? 👇 #SUI #Layer1 #CryptoTrading $SUI DYOR / NFA
Sui just lost 30% while Samsung, Brazil and $500M in Bitcoin capital are all moving onto it.

Who's wrong? 👀

Samsung Wallet is bringing USDC on Sui to 82M phones. Mercado Bitcoin just opened Sui to 4.5M clients. Hashi is coming with $500M+ committed.

The price still fell to 0.8934. The reason is leverage: about $1.37B in perp open interest, nearly a third of its market cap.

When longs get flushed, good news doesn't matter.

0.8277 is the line. If it holds, I'm in above 0.96, targeting 1.11 then 1.29.

If it breaks, I'm out.

Are you buying the news or fearing the flush? 👇

#SUI #Layer1 #CryptoTrading $SUI

DYOR / NFA
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