Binance Square
玲姐AL
7.9k Posts

玲姐AL

每日更新行业新闻、热门事件,撸毛活动与圈内八卦,一手热点,实操攻略,圈内瓜料全都有带你轻松看懂Web3,玩赚加密市场。
Open Trade
USD1 Holder
USD1 Holder
Frequent Trader
11 Months
894 Following
7.2K+ Followers
7.1K+ Liked
Posts
Portfolio
PINNED
·
--
Bullish
Partly True
I didn’t really look at the charts today—instead, I re-read the @grvt_io GRVT whitepaper again. I missed the #ALPHA blind box airdrop at 7:00 today… that was a pity! This month might be about to get reverse-rugged. I was scrolling through $ARX 3.3 million in trading volume today and even got squeezed a bit, with an 8u loss. I’ve found that many people who study GRVT focus on discussing pre-market prices and how much they can earn from the airdrop, but what the whitepaper is truly trying to solve isn’t really that. The first problem it aims to address is how to let institutions have both the trading efficiency of a centralized exchange (CEX) and not take on the custody risk of centralized custodianship. To do this, GRVT designed the Hybrid Exchange (HEX)* architecture, which separates trading and custody: an off-chain order book handles high-speed matching, while on-chain settlement verifies transaction status through zk technology—so trading efficiency and asset safety are balanced as much as possible. The second problem is capital utilization. In traditional trading, a single chunk of capital is often split across the exchange, wallets, and DeFi. GRVT’s proposed One Balance* concept hopes that one asset can complete trading, wealth management, and asset administration—reducing idle capital and improving capital efficiency. The third problem is how the platform can continue to generate profit. The true source of revenue for a trading platform is always trading fees—not token issuance. The whitepaper wants to establish a long-term link between protocol revenue and Tokens, forming a complete data flywheel: user growth → increased DAU → increased trading volume → higher fees → increased protocol revenue → strategic buybacks and member benefits → GRVT captures platform value. Based on current development, GRVT has raised about $34 million in total funding, the official X community has over 519,000 followers, and the cumulative trading volume in 2025 is about $177 billion. Its TVL peak is close to $98 million. These figures show the project already has a certain user base and liquidity—but what truly determines long-term value is whether future trading volume, active users, and protocol revenue can continue to grow. After reading the whitepaper, I feel like GRVT isn’t selling a single exchange—it’s selling a set of institutional-grade on-chain trading infrastructure. If that future “users → trading volume → revenue → value capture” flywheel can keep running, its value potential might be bigger than many people understand today. #grvt
I didn’t really look at the charts today—instead, I re-read the @grvt_io GRVT whitepaper again. I missed the #ALPHA blind box airdrop at 7:00 today… that was a pity! This month might be about to get reverse-rugged. I was scrolling through $ARX 3.3 million in trading volume today and even got squeezed a bit, with an 8u loss.

I’ve found that many people who study GRVT focus on discussing pre-market prices and how much they can earn from the airdrop, but what the whitepaper is truly trying to solve isn’t really that.

The first problem it aims to address is how to let institutions have both the trading efficiency of a centralized exchange (CEX) and not take on the custody risk of centralized custodianship. To do this, GRVT designed the Hybrid Exchange (HEX)* architecture, which separates trading and custody: an off-chain order book handles high-speed matching, while on-chain settlement verifies transaction status through zk technology—so trading efficiency and asset safety are balanced as much as possible.

The second problem is capital utilization. In traditional trading, a single chunk of capital is often split across the exchange, wallets, and DeFi. GRVT’s proposed One Balance* concept hopes that one asset can complete trading, wealth management, and asset administration—reducing idle capital and improving capital efficiency.

The third problem is how the platform can continue to generate profit. The true source of revenue for a trading platform is always trading fees—not token issuance. The whitepaper wants to establish a long-term link between protocol revenue and Tokens, forming a complete data flywheel: user growth → increased DAU → increased trading volume → higher fees → increased protocol revenue → strategic buybacks and member benefits → GRVT captures platform value.

Based on current development, GRVT has raised about $34 million in total funding, the official X community has over 519,000 followers, and the cumulative trading volume in 2025 is about $177 billion. Its TVL peak is close to $98 million. These figures show the project already has a certain user base and liquidity—but what truly determines long-term value is whether future trading volume, active users, and protocol revenue can continue to grow.

After reading the whitepaper, I feel like GRVT isn’t selling a single exchange—it’s selling a set of institutional-grade on-chain trading infrastructure. If that future “users → trading volume → revenue → value capture” flywheel can keep running, its value potential might be bigger than many people understand today.

#grvt
·
--
Bullish
Verified
I noticed a lot of people talking about $EDGE , so I went ahead and quickly checked the on-chain data, fundamentals, and the project’s real operating situation. I’ll just break it down for everyone so you don’t have to dig through it yourself. Actually, this EDGE is edgeX’s token. It mainly operates a decentralized derivatives exchange (DEX). What makes it a bit special is that it built its own Arbitrum Orbit dedicated chain as the underlying layer, so that when everyone trades on contracts, the speed can be faster and the trading fees can be lower—plus it helps build up trading depth. Now the key point: let’s separate the underlying “ability to make money” from the basic market layout and the protocol’s real performance. I’ll use data to speak directly: 1. Token basics and market data Token name: edgeX (EDGE) Total token supply: 1.00 billion tokens Current circulating supply: about 350 million tokens (circulating rate ~35%) Listing date: March 31, 2026 Current price: $0.41137 (slightly down -1.06% intraday) 24h price range: highest $0.41796 / lowest $0.38623 Turnover and trading activity: 24h trading volume $2.7284 million, total trades 20,226 2. Protocol operations and revenue situation (core fundamentals) In on-chain tracks, assessing a project’s operations comes down to whether it’s a hollow shell. edgeX’s fundamentals track record is pretty impressive: 1. Real active usage: the platform’s total user count has already exceeded 295,000. Daily average trading volume is around $5 billion. With this scale, it has captured roughly 14% market share in the on-chain derivatives sector. 2. Capital consolidation (TVL): the protocol’s total value locked previously peaked at $500 million. In the recent period, it has been roughly stable in the range of $356 million to $438 million. 3. Revenue and profitability: according to DefiLlama data, edgeX’s projected revenue for Q4 2025 reached $106.9 million. It often ranks within the top ten for monthly revenue among crypto applications worldwide. This indicates the platform has strong real-fee revenue inflows. 4. Funding and business expansion: before launch, it received investment from Circle Ventures (the issuer’s parent company of USDC), with early participation also from Amber Group. Not only do major institutions back it for liquidity, but their business circle is expanding too—such as contract trading volume for real-world assets (RWA) like gold and silver,
I noticed a lot of people talking about $EDGE , so I went ahead and quickly checked the on-chain data, fundamentals, and the project’s real operating situation. I’ll just break it down for everyone so you don’t have to dig through it yourself.
Actually, this EDGE is edgeX’s token. It mainly operates a decentralized derivatives exchange (DEX). What makes it a bit special is that it built its own Arbitrum Orbit dedicated chain as the underlying layer, so that when everyone trades on contracts, the speed can be faster and the trading fees can be lower—plus it helps build up trading depth.
Now the key point: let’s separate the underlying “ability to make money” from the basic market layout and the protocol’s real performance. I’ll use data to speak directly:
1. Token basics and market data
Token name: edgeX (EDGE)
Total token supply: 1.00 billion tokens
Current circulating supply: about 350 million tokens (circulating rate ~35%)
Listing date: March 31, 2026
Current price: $0.41137 (slightly down -1.06% intraday)
24h price range: highest $0.41796 / lowest $0.38623
Turnover and trading activity: 24h trading volume $2.7284 million, total trades 20,226
2. Protocol operations and revenue situation (core fundamentals)
In on-chain tracks, assessing a project’s operations comes down to whether it’s a hollow shell. edgeX’s fundamentals track record is pretty impressive:
1. Real active usage: the platform’s total user count has already exceeded 295,000. Daily average trading volume is around $5 billion. With this scale, it has captured roughly 14% market share in the on-chain derivatives sector.
2. Capital consolidation (TVL): the protocol’s total value locked previously peaked at $500 million. In the recent period, it has been roughly stable in the range of $356 million to $438 million.
3. Revenue and profitability: according to DefiLlama data, edgeX’s projected revenue for Q4 2025 reached $106.9 million. It often ranks within the top ten for monthly revenue among crypto applications worldwide. This indicates the platform has strong real-fee revenue inflows.
4. Funding and business expansion: before launch, it received investment from Circle Ventures (the issuer’s parent company of USDC), with early participation also from Amber Group. Not only do major institutions back it for liquidity, but their business circle is expanding too—such as contract trading volume for real-world assets (RWA) like gold and silver,
·
--
Bullish
$SPCX Market recap: Musk’s “Falcon rocket” concept cools off as the market waits for the next catalyst Recently, I’ve been paying attention to SPCX. This coin is rather special: its core isn’t a traditional Web3 narrative, but the market’s imagination of tokenizing assets of SpaceX (Musk’s aerospace company). In the early phase, SPCX attracted a lot of capital because several hot tags stacked together—“Musk + SpaceX + space economy + RWA.” The price rose rapidly at one point. But recently, as market sentiment cooled, SPCX saw a clear pullback. It’s currently trading around $120, down about 40%-50% from its earlier high. I think many people haven’t noticed that SPCX isn’t really trading a normal token—it’s trading a future expectation. What the market is betting on is that if SpaceX goes public in the future, or if more top private company assets move onto the chain, SPCX could become an early representative in the RWA track. From the chart, watch the $135–$140 area for short-term resistance. This is an important barrier for the recent rebound. If there’s a breakout with strong volume, the next target could be around $160. Support to watch first is around $120—the current defense zone for bulls. If it breaks, look further at around $110. As for liquidations: since SPCX mainly falls under on-chain assets and differs from BTC and ETH, there isn’t a large perpetual-contract market, so publicly available liquidation data is limited. Current risk comes more from liquidity and changes in large holders’ positions. For small-cap assets, if there’s concentrated sell pressure, volatility can be amplified. I’ve noticed the community is clearly divided right now. The bullish camp believes SpaceX represents global top-tier tech assets and that the RWA trend could open up a huge opportunity in the future. The bearish camp, on the other hand, argues that the current price is more driven by concept premium, and the real value-capture mechanism still needs to be proven. My view is that in the short term, SPCX is driven by sentiment; its price heavily depends on SpaceX news and overall market hype. But in the long run, the real question worth focusing on is: Will future high-quality global assets be opened up via blockchain to reach more investors? If RWA becomes the next core narrative, SPCX may get a chance to be repriced. But before that happens, the market needs to see more real-world implementation. Data line: SPCX price: about $120 Resistance zone: $135–$140 Strong resistance: $160 Support: $120 / $110
$SPCX Market recap: Musk’s “Falcon rocket” concept cools off as the market waits for the next catalyst

Recently, I’ve been paying attention to SPCX. This coin is rather special: its core isn’t a traditional Web3 narrative, but the market’s imagination of tokenizing assets of SpaceX (Musk’s aerospace company).

In the early phase, SPCX attracted a lot of capital because several hot tags stacked together—“Musk + SpaceX + space economy + RWA.” The price rose rapidly at one point. But recently, as market sentiment cooled, SPCX saw a clear pullback. It’s currently trading around $120, down about 40%-50% from its earlier high.

I think many people haven’t noticed that SPCX isn’t really trading a normal token—it’s trading a future expectation.

What the market is betting on is that if SpaceX goes public in the future, or if more top private company assets move onto the chain, SPCX could become an early representative in the RWA track.

From the chart, watch the $135–$140 area for short-term resistance. This is an important barrier for the recent rebound. If there’s a breakout with strong volume, the next target could be around $160.

Support to watch first is around $120—the current defense zone for bulls. If it breaks, look further at around $110.

As for liquidations: since SPCX mainly falls under on-chain assets and differs from BTC and ETH, there isn’t a large perpetual-contract market, so publicly available liquidation data is limited. Current risk comes more from liquidity and changes in large holders’ positions. For small-cap assets, if there’s concentrated sell pressure, volatility can be amplified.

I’ve noticed the community is clearly divided right now.

The bullish camp believes SpaceX represents global top-tier tech assets and that the RWA trend could open up a huge opportunity in the future. The bearish camp, on the other hand, argues that the current price is more driven by concept premium, and the real value-capture mechanism still needs to be proven.

My view is that in the short term, SPCX is driven by sentiment; its price heavily depends on SpaceX news and overall market hype. But in the long run, the real question worth focusing on is:

Will future high-quality global assets be opened up via blockchain to reach more investors?

If RWA becomes the next core narrative, SPCX may get a chance to be repriced. But before that happens, the market needs to see more real-world implementation.

Data line:

SPCX price: about $120
Resistance zone: $135–$140
Strong resistance: $160
Support: $120 / $110
Red packets are ready 🧧 Hurry up and make it happen! We prepared 100 U red packets—wishing everyone a happy summer vacation May good fortune and returns come to you at the same time. Wishing everyone a great run of the market 📈
Red packets are ready 🧧 Hurry up and make it happen!
We prepared 100 U red packets—wishing everyone a happy summer vacation
May good fortune and returns come to you at the same time. Wishing everyone a great run of the market 📈
·
--
Bullish
$ZEC Market Recap: Privacy Narrative Reheats, and $550 Becomes the Key Level for Both Bulls and Bears Recently, ZEC’s price action has been quite interesting. Many people only see the price rising, but I think the underlying capital logic is even more worth paying attention to. As of now, the ZEC price is consolidating around $540–$550. Over the past 24 hours, the price has changed little, while trading volume remains active. Previously, ZEC surged toward the $560 area and briefly became one of the altcoins drawing the most market attention. The recent rise is mainly driven by renewed momentum in the privacy sector, a technical breakout, and the return of futures contract funding. (CryptoRank) From the futures data, the market currently does not show extreme leverage piling up, but during the rally there is clearly strong competition between long and short positions. ZEC has also experienced big swings in the past. Historically, there have been liquidation events exceeding $100 million in a single day, which suggests this coin’s liquidity and sentiment changes can be quite intense. (CoinDesk) Technically, I think there are a few key levels to watch now. The $550–$560 range is the first major resistance zone. If price breaks out with increased volume and holds above it, the market may continue testing the $600 psychological level. Support is first seen around $520—this is where short-term capital is defending. If it breaks down, the next focus will be the $500 area, which is also a psychological support level for the market. I’ve noticed that recently, ZEC has again caught the attention of capital, and it’s not simply “old coin” speculation. Privacy computing, zero-knowledge proofs, and institutional on-chain asset demand are all making the market rethink ZEC’s positioning. Previously, people mainly viewed it as an anonymous payment tool; now it’s more about trading the question of whether the future blockchain needs a privacy layer. However, risks shouldn’t be ignored. ZEC’s ecosystem growth rate has historically been somewhat slow, and the privacy track is also impacted by regulation—these are long-term issues that need to be addressed. From my perspective, ZEC is currently at a critical stage. In the short term, watch whether it can break through $550–$560. In the medium term, watch whether funds continue to flow in. If the privacy narrative keeps building momentum, ZEC could become a choice for capital to reallocate into established infrastructure projects; but if trading volume can’t keep up, a surge followed by a pullback would be completely normal. Data lines: ZEC price: about $540–$550 24-hour trend: consolidating, slightly bullish Resistance levels: $550–$560 / $600 Support levels: $520 / $500 Max supply: 21 million ZEC Circulating supply: about 16.78 million ZEC (Kraken)
$ZEC Market Recap: Privacy Narrative Reheats, and $550 Becomes the Key Level for Both Bulls and Bears

Recently, ZEC’s price action has been quite interesting. Many people only see the price rising, but I think the underlying capital logic is even more worth paying attention to.

As of now, the ZEC price is consolidating around $540–$550. Over the past 24 hours, the price has changed little, while trading volume remains active. Previously, ZEC surged toward the $560 area and briefly became one of the altcoins drawing the most market attention. The recent rise is mainly driven by renewed momentum in the privacy sector, a technical breakout, and the return of futures contract funding. (CryptoRank)

From the futures data, the market currently does not show extreme leverage piling up, but during the rally there is clearly strong competition between long and short positions. ZEC has also experienced big swings in the past. Historically, there have been liquidation events exceeding $100 million in a single day, which suggests this coin’s liquidity and sentiment changes can be quite intense. (CoinDesk)

Technically, I think there are a few key levels to watch now.

The $550–$560 range is the first major resistance zone. If price breaks out with increased volume and holds above it, the market may continue testing the $600 psychological level.

Support is first seen around $520—this is where short-term capital is defending. If it breaks down, the next focus will be the $500 area, which is also a psychological support level for the market.

I’ve noticed that recently, ZEC has again caught the attention of capital, and it’s not simply “old coin” speculation. Privacy computing, zero-knowledge proofs, and institutional on-chain asset demand are all making the market rethink ZEC’s positioning. Previously, people mainly viewed it as an anonymous payment tool; now it’s more about trading the question of whether the future blockchain needs a privacy layer.

However, risks shouldn’t be ignored. ZEC’s ecosystem growth rate has historically been somewhat slow, and the privacy track is also impacted by regulation—these are long-term issues that need to be addressed.

From my perspective, ZEC is currently at a critical stage.

In the short term, watch whether it can break through $550–$560. In the medium term, watch whether funds continue to flow in. If the privacy narrative keeps building momentum, ZEC could become a choice for capital to reallocate into established infrastructure projects; but if trading volume can’t keep up, a surge followed by a pullback would be completely normal.

Data lines:

ZEC price: about $540–$550
24-hour trend: consolidating, slightly bullish
Resistance levels: $550–$560 / $600
Support levels: $520 / $500
Max supply: 21 million ZEC
Circulating supply: about 16.78 million ZEC (Kraken)
Feeling the support and encouragement from all my brothers and sisters! This time, 39 people. TGE#grvt has been postponed to the end of the month, on the 30th. CreatorPad Booster Task Verification and Reward Claim Notice You have ranked at the top of the leaderboard in the GRVT - Booster task: Chinese Language Rankings. To confirm your eligibility for rewards, please complete the Binance Square task verification within the verification time specified in the event announcement. Go to Binance Wallet > Discover > Booster > GRVT - Binance Square Creator Tasks Desk, and click the “Complete Now” and “Verify” buttons to complete the Binance Square task verification. Please note: Only users who meet the eligibility requirements and complete the Binance Square task verification on the GRVT Booster activity page can claim the task rewards after the event ends. Creators who do not complete the Binance Square task verification in their Binance Wallet will be unable to claim rewards. Eligible winners can view and claim their rewards in Binance Wallet > Discover > Booster after the project’s TGE. Please make sure you have enabled the Binance Non-Custodial (Private Key) Wallet; subsequent transactions and reward claims may require paying Gas fees.
Feeling the support and encouragement from all my brothers and sisters! This time, 39 people.
TGE#grvt has been postponed to the end of the month, on the 30th.
CreatorPad Booster Task Verification and Reward Claim Notice
You have ranked at the top of the leaderboard in the GRVT - Booster task: Chinese Language Rankings. To confirm your eligibility for rewards, please complete the Binance Square task verification within the verification time specified in the event announcement. Go to Binance Wallet > Discover > Booster > GRVT - Binance Square Creator Tasks Desk, and click the “Complete Now” and “Verify” buttons to complete the Binance Square task verification.
Please note: Only users who meet the eligibility requirements and complete the Binance Square task verification on the GRVT Booster activity page can claim the task rewards after the event ends. Creators who do not complete the Binance Square task verification in their Binance Wallet will be unable to claim rewards.
Eligible winners can view and claim their rewards in Binance Wallet > Discover > Booster after the project’s TGE. Please make sure you have enabled the Binance Non-Custodial (Private Key) Wallet; subsequent transactions and reward claims may require paying Gas fees.
·
--
Bullish
Partly True
The roof fell, brothers! Today we actually missed the #ALPHA blind box airdrop. My legs are all bruised purple from hitting them. It was only a minute late! Today I checked the trading volume: 3.3万$ARX . Loss: 1.6 dollars. Today $BNB broke through 580—it's getting closer and closer to my 1230 long position, and it's advancing even further! Let’s not talk about AI Agents, and let’s not talk about airdrops either. Recently I’ve reread the Newton whitepaper several times, and I actually feel that what’s really worth dissecting isn’t the AI concepts in all the marketing, but its underlying Policy Engine. A lot of people think this is just a risk-control module, but I think that’s far too shallow. I recently found that many people who研究 @NewtonProtocol focus their attention on AI Agents and automated trading. But after reading the whitepaper carefully, I think the real knowledge gap is that it doesn’t solve “AI,” but trading authorization. Traditional smart contracts have a natural flaw: they can only see on-chain data. They can’t see real-world off-chain information such as identity, risk scores, KYC, or sanctions lists. So most protocols today still do risk control after transaction execution. In essence, it’s still “allow first, then fix later.” Newton completely flips this order. The most core mechanism in the whitepaper is Intent + Policy + AVS. For every transaction, an Intent (transaction intent) is generated first, and then a preset Policy is called. EigenLayer AVS verification nodes use on-chain and off-chain data to jointly validate. Only if the verification result satisfies the policy requirements will the smart contract continue executing. This means it’s not about “whether the transaction can succeed,” but “whether it’s allowed to happen.” That’s exactly why Newton has been emphasizing that it’s an Authorization Layer, not another AI protocol. (Newton Protocol Docs) Many people didn’t notice that the biggest hidden risk here isn’t actually technology—it’s data. If a strategy depends on off-chain information like price, identity, or proof of reserves, once the data source becomes inaccurate, even a well-designed Policy will fail. So the first batch of the Mainnet Beta introduced data providers like RedStone, using price and market data as verifiable inputs rather than simply trusting centralized APIs. Each time a strategy is verified, it generates a verifiable proof, so anyone can trace back and verify the result. #newt $NEWT
The roof fell, brothers! Today we actually missed the #ALPHA blind box airdrop. My legs are all bruised purple from hitting them. It was only a minute late!

Today I checked the trading volume: 3.3万$ARX . Loss: 1.6 dollars.
Today $BNB broke through 580—it's getting closer and closer to my 1230 long position, and it's advancing even further!

Let’s not talk about AI Agents, and let’s not talk about airdrops either. Recently I’ve reread the Newton whitepaper several times, and I actually feel that what’s really worth dissecting isn’t the AI concepts in all the marketing, but its underlying Policy Engine. A lot of people think this is just a risk-control module, but I think that’s far too shallow.

I recently found that many people who研究 @NewtonProtocol focus their attention on AI Agents and automated trading. But after reading the whitepaper carefully, I think the real knowledge gap is that it doesn’t solve “AI,” but trading authorization.

Traditional smart contracts have a natural flaw: they can only see on-chain data. They can’t see real-world off-chain information such as identity, risk scores, KYC, or sanctions lists. So most protocols today still do risk control after transaction execution. In essence, it’s still “allow first, then fix later.”

Newton completely flips this order.

The most core mechanism in the whitepaper is Intent + Policy + AVS. For every transaction, an Intent (transaction intent) is generated first, and then a preset Policy is called. EigenLayer AVS verification nodes use on-chain and off-chain data to jointly validate. Only if the verification result satisfies the policy requirements will the smart contract continue executing. This means it’s not about “whether the transaction can succeed,” but “whether it’s allowed to happen.” That’s exactly why Newton has been emphasizing that it’s an Authorization Layer, not another AI protocol. (Newton Protocol Docs)

Many people didn’t notice that the biggest hidden risk here isn’t actually technology—it’s data. If a strategy depends on off-chain information like price, identity, or proof of reserves, once the data source becomes inaccurate, even a well-designed Policy will fail. So the first batch of the Mainnet Beta introduced data providers like RedStone, using price and market data as verifiable inputs rather than simply trusting centralized APIs. Each time a strategy is verified, it generates a verifiable proof, so anyone can trace back and verify the result.

#newt $NEWT
Verified
Article
Stop focusing on how smart AI is—the real entry point is the “authorization layer” — In-depth breakdown of the Newton whitepaper’s core mechanismToday #ALPHA brought another mystery box. The minimum is 25U. I heard that there were a lot of spikes today—unfortunately, I actually missed it. Oh, what a slap to the thigh! Even if the amount is small, it’s still meat! Today I saw $ARX a trading volume of 33,000. Yet I got slashed 8 times—so painful! Today Alpha rankings dropped a few more places again. Airdrops are still the same old story—busy all day and realized the returns couldn’t even keep up with market fluctuations. Lately, this feeling has been especially strong. Every day the market has a new narrative: yesterday it was about RWA, today it’s about AI. Tomorrow it might switch to another hotspot. In the past, I used to look at new projects and check their funding first—but my habits have completely changed now. Instead, I download the whitepaper first. Recently, I went through the documentation for #Newt on a couple of times back and forth. To be honest, the more I read, the more it feels like the focus of market discussion has shifted. Everyone is studying whether AI Agents can make money, but very few people are researching whether AI is even qualified to help you move that money.

Stop focusing on how smart AI is—the real entry point is the “authorization layer” — In-depth breakdown of the Newton whitepaper’s core mechanism

Today #ALPHA brought another mystery box. The minimum is 25U. I heard that there were a lot of spikes today—unfortunately, I actually missed it. Oh, what a slap to the thigh! Even if the amount is small, it’s still meat! Today I saw $ARX a trading volume of 33,000. Yet I got slashed 8 times—so painful!
Today Alpha rankings dropped a few more places again. Airdrops are still the same old story—busy all day and realized the returns couldn’t even keep up with market fluctuations. Lately, this feeling has been especially strong. Every day the market has a new narrative: yesterday it was about RWA, today it’s about AI. Tomorrow it might switch to another hotspot. In the past, I used to look at new projects and check their funding first—but my habits have completely changed now. Instead, I download the whitepaper first. Recently, I went through the documentation for #Newt on a couple of times back and forth. To be honest, the more I read, the more it feels like the focus of market discussion has shifted. Everyone is studying whether AI Agents can make money, but very few people are researching whether AI is even qualified to help you move that money.
·
--
Bullish
📅 July 14, #ALpha (Today) Operation Guide (Blow-off: Connecting to two old coins in a single week is indeed a bit too much!) 🎁 I. Airdrops and New Listings Today’s updates: No official announcements yet—most likely they’ll “surprise” launch old coins. Pitfall avoidance: If old coins are listed again today, it’s recommended to give up. Forcibly participating can easily mean paying extra fees (getting reverse-rugged). 🛠️ II. Suggestions for Score/Point Farming Regular projects (recommended for small bets): Goal: NES (10 days left) and $ARX (8 days left). Funds: Suggest using 300–500U for small participation. QQQB projects (watch out for volatility): Best timing: Try to operate during the US stock market’s off hours. (Note: Current US market open hours are 21:30–04:00—please try to avoid this high-volatility window.) Optimal amount: Control each trade at around 1025 for the best value. 📊 III. Market Overview Market sentiment: 27 (panic). Sentiment remains somewhat cautious. Core coin prices: $BTC ~ $62,300 | $BNB ~ 567. Overall trend: Compared with yesterday, there’s basically no movement—staying in a sideways range.
📅 July 14, #ALpha (Today) Operation Guide
(Blow-off: Connecting to two old coins in a single week is indeed a bit too much!)

🎁 I. Airdrops and New Listings
Today’s updates: No official announcements yet—most likely they’ll “surprise” launch old coins.
Pitfall avoidance: If old coins are listed again today, it’s recommended to give up. Forcibly participating can easily mean paying extra fees (getting reverse-rugged).

🛠️ II. Suggestions for Score/Point Farming
Regular projects (recommended for small bets):
Goal: NES (10 days left) and $ARX (8 days left).
Funds: Suggest using 300–500U for small participation.
QQQB projects (watch out for volatility):
Best timing: Try to operate during the US stock market’s off hours. (Note: Current US market open hours are 21:30–04:00—please try to avoid this high-volatility window.)
Optimal amount: Control each trade at around 1025 for the best value.

📊 III. Market Overview
Market sentiment: 27 (panic). Sentiment remains somewhat cautious.
Core coin prices: $BTC ~ $62,300 | $BNB ~ 567.
Overall trend: Compared with yesterday, there’s basically no movement—staying in a sideways range.
Partly True
Article
I read the Newton whitepaper three times—what’s truly valuable isn’t AI, but the authorization layerBinance #ALPHA Announcement 📅 July 13 (today) noirdrops—stop hanging at zero! Score-farming advice: $ARX trade volume 33,000, loss around 1.6u Today I withdrew all of Gate’s coins—about 12,000U. For friends who are worried, withdrawing is considered safer. Last night I went through the @NewtonProtocol whitepaper again, and I suddenly realized: if you look at this project by timeline, it’s more interesting than just dissecting its mechanisms in isolation. Because with every step forward, it’s actually solving an old problem in AI finance. First layer of the timeline: why do we need to redo authorization? Many people study $NEWT on and focus on AI Agents. But I think the real question the whitepaper is trying to answer isn’t “Can AI trade?”, but “By what right does AI get permission to trade?”. The on-chain authorization models are something everyone is already familiar with: one signature, long-lasting permission. The smarter the robot, the more times it executes—and the higher the risk. In the past few years, many security incidents ended up being hard to trace back to “Unlimited Approval”. To put it simply, it’s not that the code isn’t secure—it’s that the authorization method is too old. That’s why Newton didn’t start by competing on models; it first focused on solving permissions.

I read the Newton whitepaper three times—what’s truly valuable isn’t AI, but the authorization layer

Binance #ALPHA Announcement 📅 July 13 (today) noirdrops—stop hanging at zero!
Score-farming advice: $ARX trade volume 33,000, loss around 1.6u
Today I withdrew all of Gate’s coins—about 12,000U. For friends who are worried, withdrawing is considered safer.
Last night I went through the @NewtonProtocol whitepaper again, and I suddenly realized: if you look at this project by timeline, it’s more interesting than just dissecting its mechanisms in isolation. Because with every step forward, it’s actually solving an old problem in AI finance.
First layer of the timeline: why do we need to redo authorization?
Many people study $NEWT on and focus on AI Agents. But I think the real question the whitepaper is trying to answer isn’t “Can AI trade?”, but “By what right does AI get permission to trade?”. The on-chain authorization models are something everyone is already familiar with: one signature, long-lasting permission. The smarter the robot, the more times it executes—and the higher the risk. In the past few years, many security incidents ended up being hard to trace back to “Unlimited Approval”. To put it simply, it’s not that the code isn’t secure—it’s that the authorization method is too old. That’s why Newton didn’t start by competing on models; it first focused on solving permissions.
·
--
Bullish
Binance #ALPHA airdrop announcement. July 13th (Monday) and today is yet another day of zeros. 📅 July 13th (today) score-slashing is recommended at $ARX . Today’s trading volume is 33k, with a loss of $1.8 Do the brothers who chased highs at $BNB in 1228 still think they can get out of the bag? Yesterday I翻了一遍 the @NewtonProtocol whitepaper again, and the more I read, the more I feel that the biggest misunderstanding the market has about it is that it keeps comparing it with AI Agents. I think Newton isn’t really competing to “train a better model”—it’s filling the most easily overlooked piece in AI finance: the authorization layer (Policy Engine). Many people haven’t noticed that, for most on-chain automated trading today, the logic is still “one authorization, permanent execution.” Even if the model is clever, as long as permissions are infinitely amplified, risk still exists. In DeFi security incidents throughout history, the root cause is often not that the strategy fails, but that the authorization boundaries go out of control. Newton’s design is the opposite. The whitepaper uses a three-layer architecture: Intent (trading intent) + Policy Engine (strategy engine) + Operator Network (verification network). Each transaction is first verified for things like identity, the counterparty, Spend Limit, time window, risk level, etc.; then it’s verified by the Operator Network based on EigenLayer AVS; only afterward does it enter on-chain execution—realizing “verify first, then execute.” I believe this is more important than simply improving AI model capability. Look at the economic model too—it’s more solid than many AI projects. NEWT’s total fixed supply is 1 billion tokens. The token carries functions such as network incentives, node staking, governance, and protocol payments. Operators need to stake NEWT to participate in network verification. Developers deploying Agents and calling the authorization services also create protocol demand. As more developers, institutions, and AI Agents connect, verification demand increases, node rewards rise, more nodes join, and network security is further strengthened—ultimately forming a positive flywheel: “application growth → verification demand growth → increased staking → a safer network → attracts more applications.” To put it plainly: many projects sell AI; Newton sells the underlying rule layer that enables AI to truly manage assets. If in the future hundreds of thousands, even over a million, AI Agents all require a layer of trusted authorization to operate on-chain assets, then what’s truly scarce may not be the Agents themselves, but rather this authorization infrastructure. #newt $NEWT
Binance #ALPHA airdrop announcement. July 13th (Monday) and today is yet another day of zeros.
📅 July 13th (today) score-slashing is recommended at $ARX . Today’s trading volume is 33k, with a loss of $1.8
Do the brothers who chased highs at $BNB in 1228 still think they can get out of the bag?

Yesterday I翻了一遍 the @NewtonProtocol whitepaper again, and the more I read, the more I feel that the biggest misunderstanding the market has about it is that it keeps comparing it with AI Agents. I think Newton isn’t really competing to “train a better model”—it’s filling the most easily overlooked piece in AI finance: the authorization layer (Policy Engine).

Many people haven’t noticed that, for most on-chain automated trading today, the logic is still “one authorization, permanent execution.” Even if the model is clever, as long as permissions are infinitely amplified, risk still exists. In DeFi security incidents throughout history, the root cause is often not that the strategy fails, but that the authorization boundaries go out of control.

Newton’s design is the opposite. The whitepaper uses a three-layer architecture: Intent (trading intent) + Policy Engine (strategy engine) + Operator Network (verification network). Each transaction is first verified for things like identity, the counterparty, Spend Limit, time window, risk level, etc.; then it’s verified by the Operator Network based on EigenLayer AVS; only afterward does it enter on-chain execution—realizing “verify first, then execute.” I believe this is more important than simply improving AI model capability.

Look at the economic model too—it’s more solid than many AI projects. NEWT’s total fixed supply is 1 billion tokens. The token carries functions such as network incentives, node staking, governance, and protocol payments.
Operators need to stake NEWT to participate in network verification. Developers deploying Agents and calling the authorization services also create protocol demand. As more developers, institutions, and AI Agents connect, verification demand increases, node rewards rise, more nodes join, and network security is further strengthened—ultimately forming a positive flywheel: “application growth → verification demand growth → increased staking → a safer network → attracts more applications.”

To put it plainly: many projects sell AI; Newton sells the underlying rule layer that enables AI to truly manage assets.

If in the future hundreds of thousands, even over a million, AI Agents all require a layer of trusted authorization to operate on-chain assets, then what’s truly scarce may not be the Agents themselves, but rather this authorization infrastructure.

#newt $NEWT
·
--
Bullish
Brothers! @grvt_io exited yesterday and scored 0. This review is too strict. There are only five days—everyone, keep it up! The Booster task is expected to reward around 7u. I went through the whitepaper again. Lately, I’ve found that many people are still researching how much an airdrop is worth, whether on the 21st #tge will surge, and whether $BNB has prepared in advance. But honestly, these are all short-term emotions. Instead, I’m paying more and more attention to its underlying Hybrid Exchange (HEX). To put it simply, the biggest problem with today’s CEX isn’t speed—it’s asset custody. GRVT fully separates trading and custody: off-chain order matching (millisecond-level matching efficiency) + on-chain settlement (zk Validium zero-knowledge proofs) + user self-custody of assets. In essence, the platform handles trading, while the funds are always controlled by the user—this is the biggest gap in understanding I think. Many people haven’t noticed that behind it there’s a very clear data pipeline: institutional-grade KYC/AML → self-custody wallet → high-speed matching → ZK proof settlement → lower counterparty risk → attracting more institutional liquidity → higher trading depth → lower slippage → higher trading volume → fees continuously feeding back into the ecosystem. GRVT has raised about $14 million in total so far, supported by institutions including Further Ventures, Matrix Partners, Delphi Digital, Hack VC, QCP, and others. The community’s eventual airdrop allocation has been increased to 28%. Recently, open interest still remains around $350 million, which indicates that the ecosystem stays highly active even before the TGE. I think this economic model doesn’t really sell “high returns.” What it sells is capital efficiency + security. As more and more institutions are willing to bring liquidity in, depth improves, slippage drops, the user experience gets better, and trading volume keeps growing—then the protocol forms a positive flywheel. If last round everyone was competing on TPS, then this time I care more about who can rebuild trading trust. Whether Hybrid Exchange can become the future trading infrastructure is worth continuing to track—not just staring at the single K-line from the 21st opening. #grvt
Brothers! @grvt_io exited yesterday and scored 0. This review is too strict. There are only five days—everyone, keep it up!

The Booster task is expected to reward around 7u.

I went through the whitepaper again. Lately, I’ve found that many people are still researching how much an airdrop is worth,
whether on the 21st #tge will surge,
and whether $BNB has prepared in advance.

But honestly, these are all short-term emotions. Instead, I’m paying more and more attention to its underlying Hybrid Exchange (HEX).

To put it simply, the biggest problem with today’s CEX isn’t speed—it’s asset custody. GRVT fully separates trading and custody: off-chain order matching (millisecond-level matching efficiency) + on-chain settlement (zk Validium zero-knowledge proofs) + user self-custody of assets. In essence, the platform handles trading, while the funds are always controlled by the user—this is the biggest gap in understanding I think.

Many people haven’t noticed that behind it there’s a very clear data pipeline: institutional-grade KYC/AML → self-custody wallet → high-speed matching → ZK proof settlement → lower counterparty risk → attracting more institutional liquidity → higher trading depth → lower slippage → higher trading volume → fees continuously feeding back into the ecosystem.

GRVT has raised about $14 million in total so far, supported by institutions including Further Ventures, Matrix Partners, Delphi Digital, Hack VC, QCP, and others. The community’s eventual airdrop allocation has been increased to 28%. Recently, open interest still remains around $350 million, which indicates that the ecosystem stays highly active even before the TGE.

I think this economic model doesn’t really sell “high returns.” What it sells is capital efficiency + security. As more and more institutions are willing to bring liquidity in, depth improves, slippage drops, the user experience gets better, and trading volume keeps growing—then the protocol forms a positive flywheel.

If last round everyone was competing on TPS, then this time I care more about who can rebuild trading trust. Whether Hybrid Exchange can become the future trading infrastructure is worth continuing to track—not just staring at the single K-line from the 21st opening.

#grvt
·
--
Bullish
Binance #ALPHA announcement: 📅 July 12 (today) continues to show zero. Keep helping your brothers monitor things. There's a user on the gate platform who got robbed of 1.7 million U. This reminds us to protect our funds—diversify across different platforms, and even store them in cold wallets. Don't click random links! Prepare #tge in advance on the 21st. $BNB points—aim for at least 250 points. In the evening, I went through @NewtonProtocol Beta and the whitepaper again. I originally wanted to look into the token model, but the more I read, the more it feels like the market discussion is a bit off track. A lot of people are talking about AI Agents and automated trading, but I recently found that Newton’s most valuable thing might not be AI at all—it could be the Policy Engine. At first, I couldn’t figure out why it specifically makes Policy into its own layer. Later, after seeing the execution flow, I realized it’s actually solving an old problem in DeFi: transactions are executed first, and only after something goes wrong do people bear the consequences. Traditional wallets only recognize signatures. If you sign, the contract executes. As for whether the amount is correct, whether the address is a risky address, whether the AI has exceeded permissions—basically nobody cares. Historically, many assets were stolen; in essence, it wasn’t that the private key algorithm had an issue, but that the authorization was too broad and execution happened too fast. Newton took a different approach. Before executing each Intent, it must first go through the Policy Engine to be verified against rules such as limits, devices, session keys, blacklists, etc. Only after passing does it enter the execution layer. This means what’s truly being verified isn’t just “whether you signed,” but “whether this transaction should happen.” In short, it upgrades security from identity verification to behavioral verification. But there is a cost here. The more verification steps there are, the higher the latency and computational cost. The whitepaper chooses to integrate mechanisms like EigenLayer AVS and TEE—not to push all of that onto the chain. The technical route is fine, but ultimately we still have to look at real data: whether users are willing to wait a few more seconds for that extra layer of security and pay a little higher fee. I’ve always felt that a protocol’s real moat isn’t about having more features—it’s about changing the industry’s default rules. If in the future more and more AI starts managing users’ assets, then the Policy Engine might be the value that’s hardest to copy in Newton. #newt $NEWT
Binance #ALPHA announcement: 📅 July 12 (today) continues to show zero. Keep helping your brothers monitor things.
There's a user on the gate platform who got robbed of 1.7 million U. This reminds us to protect our funds—diversify across different platforms, and even store them in cold wallets.
Don't click random links! Prepare #tge in advance on the 21st. $BNB points—aim for at least 250 points.
In the evening, I went through @NewtonProtocol Beta and the whitepaper again. I originally wanted to look into the token model, but the more I read, the more it feels like the market discussion is a bit off track.

A lot of people are talking about AI Agents and automated trading, but I recently found that Newton’s most valuable thing might not be AI at all—it could be the Policy Engine.

At first, I couldn’t figure out why it specifically makes Policy into its own layer. Later, after seeing the execution flow, I realized it’s actually solving an old problem in DeFi: transactions are executed first, and only after something goes wrong do people bear the consequences.

Traditional wallets only recognize signatures. If you sign, the contract executes. As for whether the amount is correct, whether the address is a risky address, whether the AI has exceeded permissions—basically nobody cares. Historically, many assets were stolen; in essence, it wasn’t that the private key algorithm had an issue, but that the authorization was too broad and execution happened too fast.

Newton took a different approach. Before executing each Intent, it must first go through the Policy Engine to be verified against rules such as limits, devices, session keys, blacklists, etc. Only after passing does it enter the execution layer. This means what’s truly being verified isn’t just “whether you signed,” but “whether this transaction should happen.”

In short, it upgrades security from identity verification to behavioral verification.

But there is a cost here. The more verification steps there are, the higher the latency and computational cost. The whitepaper chooses to integrate mechanisms like EigenLayer AVS and TEE—not to push all of that onto the chain. The technical route is fine, but ultimately we still have to look at real data: whether users are willing to wait a few more seconds for that extra layer of security and pay a little higher fee.

I’ve always felt that a protocol’s real moat isn’t about having more features—it’s about changing the industry’s default rules. If in the future more and more AI starts managing users’ assets, then the Policy Engine might be the value that’s hardest to copy in Newton.

#newt $NEWT
Article
After studying the Newton whitepaper, I finally understand why it insists on “verify first, then execute”Binance #ALPHA announcement, 📅 July 12 (today) Keep listing orders at zero, keep helping brothers monitor. If it’s time to rest, then rest. Gate actually has users being robbed of 1.7 million U, and the platform’s response is really too real, huh! They even chose to confront the user. No matter what, Gate has already lost. As for the bigger picture, I only stand with Binance! Wash trading $ARX 3.3w loss 1.6u Last night I didn’t really look at the K-line chart; instead I kept browsing the Newton Mainnet Beta and the whitepaper. I found a pretty weird phenomenon: almost everyone is talking about AI agents, multi-agent systems, and automated trading, but nobody is discussing what truly determines whether Newton has a moat. That is the Policy Engine.

After studying the Newton whitepaper, I finally understand why it insists on “verify first, then execute”

Binance #ALPHA announcement, 📅 July 12 (today)
Keep listing orders at zero, keep helping brothers monitor. If it’s time to rest, then rest.
Gate actually has users being robbed of 1.7 million U, and the platform’s response is really too real, huh! They even chose to confront the user. No matter what, Gate has already lost. As for the bigger picture, I only stand with Binance!
Wash trading $ARX 3.3w loss 1.6u
Last night I didn’t really look at the K-line chart; instead I kept browsing the Newton Mainnet Beta and the whitepaper. I found a pretty weird phenomenon: almost everyone is talking about AI agents, multi-agent systems, and automated trading, but nobody is discussing what truly determines whether Newton has a moat. That is the Policy Engine.
Verified
I contacted Binance customer service yesterday, and I forgot @grvt_io —so the task is basically ruined. Zero points. This time is really too strict! I don’t know if I’ll be able to get in this time. Today I finished the Booster for @grvt_io , and the quota is already full—what bad luck! Recently I’ve noticed that a lot of people are still researching how much the airdrop is worth and whether 21 号 #TGE will pump. Brothers! Get ready for $BNB . Actually, all of these are short-term emotions. Instead, I’ve been paying more and more attention to its underlying Hybrid Exchange (HEX). To put it simply, the biggest problem with CEXs right now isn’t speed—it’s asset custody. GRVT completely separates trading and custody: off-chain matching (millisecond-level matching efficiency) + on-chain settlement (zk Validium zero-knowledge proofs) + user self-custody of assets. In essence, the platform handles trading, while the funds are always controlled by the user—this is the biggest cognitive gap I think. Many people haven’t noticed that behind it there’s a very clear data pipeline: enterprise-grade KYC/AML → self-custody wallet → high-speed matching → ZK proof settlement → lower counterparty risk → attracting more institutional liquidity → higher trading depth → lower slippage → higher trading volume → fees continuously reinvesting back into the ecosystem. GRVT has already raised about $14 million in total, supported by institutions including Further Ventures, Matrix Partners, Delphi Digital, Hack VC, QCd, and others. The community’s final airdrop allocation has been increased to 28%, and the recent open interest is still hovering around $350 million, indicating that the ecosystem remains fairly active even before the TGE. I think this economic model doesn’t really sell “high yield.” What it sells is capital efficiency + security. As more and more institutions are willing to put liquidity in, depth increases, slippage drops, user experience improves, and trading volume keeps growing—then the whole protocol forms a positive feedback loop. If last round everyone was competing on TPS, then this time I care more about who can rebuild trading trust. Whether Hybrid Exchange can become the trading infrastructure of the future—I think it’s worth keeping track of, not just staring at the candlestick from the 21st open. #grvt
I contacted Binance customer service yesterday, and I forgot @grvt_io —so the task is basically ruined. Zero points. This time is really too strict! I don’t know if I’ll be able to get in this time.
Today I finished the Booster for @grvt_io , and the quota is already full—what bad luck!
Recently I’ve noticed that a lot of people are still researching how much the airdrop is worth and whether 21 号 #TGE will pump. Brothers! Get ready for $BNB .
Actually, all of these are short-term emotions. Instead, I’ve been paying more and more attention to its underlying Hybrid Exchange (HEX).

To put it simply, the biggest problem with CEXs right now isn’t speed—it’s asset custody. GRVT completely separates trading and custody: off-chain matching (millisecond-level matching efficiency) + on-chain settlement (zk Validium zero-knowledge proofs) + user self-custody of assets. In essence, the platform handles trading, while the funds are always controlled by the user—this is the biggest cognitive gap I think.

Many people haven’t noticed that behind it there’s a very clear data pipeline: enterprise-grade KYC/AML → self-custody wallet → high-speed matching → ZK proof settlement → lower counterparty risk → attracting more institutional liquidity → higher trading depth → lower slippage → higher trading volume → fees continuously reinvesting back into the ecosystem.

GRVT has already raised about $14 million in total, supported by institutions including Further Ventures, Matrix Partners, Delphi Digital, Hack VC, QCd, and others. The community’s final airdrop allocation has been increased to 28%, and the recent open interest is still hovering around $350 million, indicating that the ecosystem remains fairly active even before the TGE.

I think this economic model doesn’t really sell “high yield.” What it sells is capital efficiency + security. As more and more institutions are willing to put liquidity in, depth increases, slippage drops, user experience improves, and trading volume keeps growing—then the whole protocol forms a positive feedback loop.

If last round everyone was competing on TPS, then this time I care more about who can rebuild trading trust. Whether Hybrid Exchange can become the trading infrastructure of the future—I think it’s worth keeping track of, not just staring at the candlestick from the 21st open.
#grvt
·
--
Bullish
Partly True
Binance #ALPHA announcement—July 11 airdrop and new listings 📅 July 11 (today) is expected to be “zero” in terms of hanging pairs; I’ll keep monitoring for my brothers! The bnb that was chased at 1283—don’t know when it will be back to break even. Today $ARX did 3.3w with a loss of $1.9. Current-account wealth management $USD1 : single-account limit 2000U. But lately I haven’t really chased hotspots. Instead, I re-read the @grvt_io whitepaper again. I think a lot of people studying GRVT focus on whether it’s a DEX or a CEX—basically, they’re looking the wrong way. I recently realized that what it truly wants to solve is counterparty risk. Plainly speaking, the biggest problem with traditional CEX isn’t matching—it’s that users hand their assets to the platform. Many DEXs, although they support self-custody, still struggle to meet institutional needs in terms of speed and trading experience. GRVT’s Hybrid Exchange (HEX) neatly separates these two issues: off-chain handles high-performance order matching; on-chain handles final settlement. Assets remain Self-Custody at all times. It also uses zk-powered Volition to enable private transactions, while meeting KYC and AML compliance. That’s the real moat. Many people didn’t notice that the data has already started to validate this logic. ━━━━━━━━━━━━━━━━━━ 📈 Cumulative trading volume: $177B+ 👥 Community users: 500k+ 💰 Peak TVL: $98M 🚀 Trading volume in the first 120 days before launch: $5B+ 🪙 GRVT total supply: 1B tokens (fixed supply) 🎁 Community incentives: 22% of total supply allocated to the community (the Season 2 plan later further increases the community allocation) ━━━━━━━━━━━━━━━━━━ What I observe is that behind these numbers there’s a very clear growth loop: Institution-grade trading experience → more professional traders → deeper liquidity → lower slippage → higher trading volume → more ecosystem incentives → attracts even more capital. That’s how I understand the GRVT flywheel. At its core, what may be truly valuable in the future might not be yet another exchange, but a trading infrastructure that can simultaneously meet institutional-grade performance, privacy protection, self-custody, and regulatory compliance. As more institutions start migrating funds on-chain, the value of this underlying capability may only be just beginning to be priced by the market. #grvt
Binance #ALPHA announcement—July 11 airdrop and new listings
📅 July 11 (today) is expected to be “zero” in terms of hanging pairs; I’ll keep monitoring for my brothers! The bnb that was chased at 1283—don’t know when it will be back to break even.
Today $ARX did 3.3w with a loss of $1.9.
Current-account wealth management $USD1 : single-account limit 2000U.
But lately I haven’t really chased hotspots. Instead, I re-read the @grvt_io whitepaper again. I think a lot of people studying GRVT focus on whether it’s a DEX or a CEX—basically, they’re looking the wrong way.

I recently realized that what it truly wants to solve is counterparty risk.

Plainly speaking, the biggest problem with traditional CEX isn’t matching—it’s that users hand their assets to the platform. Many DEXs, although they support self-custody, still struggle to meet institutional needs in terms of speed and trading experience. GRVT’s Hybrid Exchange (HEX) neatly separates these two issues: off-chain handles high-performance order matching; on-chain handles final settlement. Assets remain Self-Custody at all times. It also uses zk-powered Volition to enable private transactions, while meeting KYC and AML compliance. That’s the real moat.

Many people didn’t notice that the data has already started to validate this logic.

━━━━━━━━━━━━━━━━━━
📈 Cumulative trading volume: $177B+
👥 Community users: 500k+
💰 Peak TVL: $98M
🚀 Trading volume in the first 120 days before launch: $5B+
🪙 GRVT total supply: 1B tokens (fixed supply)
🎁 Community incentives: 22% of total supply allocated to the community (the Season 2 plan later further increases the community allocation)
━━━━━━━━━━━━━━━━━━

What I observe is that behind these numbers there’s a very clear growth loop:

Institution-grade trading experience → more professional traders → deeper liquidity → lower slippage → higher trading volume → more ecosystem incentives → attracts even more capital.

That’s how I understand the GRVT flywheel.

At its core, what may be truly valuable in the future might not be yet another exchange, but a trading infrastructure that can simultaneously meet institutional-grade performance, privacy protection, self-custody, and regulatory compliance. As more institutions start migrating funds on-chain, the value of this underlying capability may only be just beginning to be priced by the market.

#grvt
Verified
Article
After researching the Newton white paper, I found that what it truly bets on isn’t AI, but the "authorization layer"Binance #ALPHA announcement 📅 July 11 (today) expected to be flat/zero listings; take a good rest—no need to worry. Score-farming advice $ARX (11 days). Today the trading volume is 33,000, with a loss of around $1.9. For demand deposit wealth management $USD1 single-account 2000U limit, single-account 10000U limit for U accounts; basically it can meet my needs. 8.5% annualized Recently I revisited the <c-25/> white paper again. Honestly, when I first started researching AI agents, I was also focused on the things everyone is talking about: automated trading, strategy returns, and model capability. But after reading $NEWT on, I realized many people might be focusing in the wrong direction. I think that when AI agents truly enter the financial sector, the biggest challenge isn’t whether AI can make money, but:

After researching the Newton white paper, I found that what it truly bets on isn’t AI, but the "authorization layer"

Binance #ALPHA announcement 📅 July 11 (today) expected to be flat/zero listings; take a good rest—no need to worry.
Score-farming advice $ARX (11 days). Today the trading volume is 33,000, with a loss of around $1.9.
For demand deposit wealth management $USD1 single-account 2000U limit, single-account 10000U limit for U accounts; basically it can meet my needs. 8.5% annualized
Recently I revisited the <c-25/> white paper again.
Honestly, when I first started researching AI agents, I was also focused on the things everyone is talking about: automated trading, strategy returns, and model capability. But after reading $NEWT on, I realized many people might be focusing in the wrong direction. I think that when AI agents truly enter the financial sector, the biggest challenge isn’t whether AI can make money, but:
·
--
Bullish
Verified
Brothers! On the 21st, there will be a new project with #tge points for #grvt —everyone must make sure to farm a few more points. It’s definitely going to be a huge airdrop! Yesterday, the old coin #ALPHA received an airdrop of $IRYS 38 dollars worth, but I didn’t manage to get it—so regrettable! Recently, I’ve read the whitepaper @NewtonProtocol a few times. My biggest takeaway is that the market’s understanding of AI+Crypto might be a bit off. Many people focus on whether AI Agents can automatically trade, execute strategies, or improve returns—but I think the real thing limiting large-scale AI entry onto the chain isn’t model capability; it’s the permission issue. To put it simply: even if an AI is smart, if it has unlimited permissions of a wallet, nobody would dare to truly hand their assets to it. What Newton is doing is to add a trusted authorization layer between AI Agents and on-chain execution. The most critical mechanism is the Policy Engine (strategy engine). The logic for traditional on-chain interactions is simple: signed authorization → contract execution. But the problem is that once the authorization scope is too broad, it becomes difficult to control downstream risks. What Newton changes is this flow. After an AI Agent proposes a transaction Intent, it first has to pass a Policy Engine check—including identity verification, permission scope, quota limits, risk rules, and more—so that only if everything meets the requirements can it proceed to on-chain execution. I think this design is valuable. Because it turns “authorization” from a one-time action into a dynamic verification process. In the past, it was like handing over your bank card password; now it’s more like setting a set of rules so the AI can only operate according to them. In addition, Newton uses an Operator network based on EigenLayer AVS. It involves nodes in the verification process and introduces a Quorum consensus mechanism, so the authorization result doesn’t depend on a single party. I’ve noticed that many AI projects like to emphasize how strong their models are, but in financial scenarios, what matters most is trust. In the future, if an AI Agent truly manages assets, permission control will definitely become foundational infrastructure. Newton’s imagination space is right here: The more AI Agents there are → the more on-chain automated execution there is → the greater the need for authorization verification → the higher the protocol value. So when I look at Newton now, I’m not only asking whether it’s an AI project. I’m more interested in whether it has a chance to become the “permission gateway” in the future AI economy. #newt $NEWT
Brothers! On the 21st, there will be a new project with #tge points for #grvt —everyone must make sure to farm a few more points. It’s definitely going to be a huge airdrop! Yesterday, the old coin #ALPHA received an airdrop of $IRYS 38 dollars worth, but I didn’t manage to get it—so regrettable!

Recently, I’ve read the whitepaper @NewtonProtocol a few times. My biggest takeaway is that the market’s understanding of AI+Crypto might be a bit off. Many people focus on whether AI Agents can automatically trade, execute strategies, or improve returns—but I think the real thing limiting large-scale AI entry onto the chain isn’t model capability; it’s the permission issue.

To put it simply: even if an AI is smart, if it has unlimited permissions of a wallet, nobody would dare to truly hand their assets to it. What Newton is doing is to add a trusted authorization layer between AI Agents and on-chain execution. The most critical mechanism is the Policy Engine (strategy engine).

The logic for traditional on-chain interactions is simple: signed authorization → contract execution.
But the problem is that once the authorization scope is too broad, it becomes difficult to control downstream risks. What Newton changes is this flow. After an AI Agent proposes a transaction Intent, it first has to pass a Policy Engine check—including identity verification, permission scope, quota limits, risk rules, and more—so that only if everything meets the requirements can it proceed to on-chain execution.

I think this design is valuable. Because it turns “authorization” from a one-time action into a dynamic verification process. In the past, it was like handing over your bank card password; now it’s more like setting a set of rules so the AI can only operate according to them. In addition, Newton uses an Operator network based on EigenLayer AVS. It involves nodes in the verification process and introduces a Quorum consensus mechanism, so the authorization result doesn’t depend on a single party. I’ve noticed that many AI projects like to emphasize how strong their models are, but in financial scenarios, what matters most is trust.

In the future, if an AI Agent truly manages assets, permission control will definitely become foundational infrastructure. Newton’s imagination space is right here:
The more AI Agents there are → the more on-chain automated execution there is → the greater the need for authorization verification → the higher the protocol value. So when I look at Newton now, I’m not only asking whether it’s an AI project. I’m more interested in whether it has a chance to become the “permission gateway” in the future AI economy.

#newt $NEWT
·
--
Bullish
Partly True
After finishing scrolling through the #ALPHA rankings, I went back to look at the data on the chain. I originally wanted to see whether there were any new opportunities, but in the end I still ended up digging into GRVT’s whitepaper. I realized that the way I look at projects has changed compared to before. Back then, my first glance was always at the fundraising and the token. Now, my first glance is actually at this: where exactly does this platform put users’ money? A lot of people talk about GRVT—zk, hybrid exchange, and so on. I don’t think repeating these terms matters much. What truly made me stop and study it is that it completely separates trading from assets. In the past, the biggest risk of centralized exchanges wasn’t slow matching—it was that both your assets and your trading permissions were handed over to the platform. When the market is good, nobody thinks it’s a problem. But once the platform has issues, even the highest returns turn out to be fake. GRVT’s design is quite interesting. Orders continue to be matched off-chain to ensure speed; the assets are still controlled by the user; and finally, on-chain settlement is completed through zk verification. In plain terms, it’s not competing on TPS—it’s competing on the cost of trust. I later went to cross-check the official website data and found that this mechanism isn’t just sitting on a PPT anymore. As of now, cumulative trading volume has already exceeded $177 billion, Open Interest is over $500 million, TVL is close to $98 million, and the number of community users has also surpassed 500,000. The data line is actually pretty clear: $177 billion trading volume → liquidity becomes deeper → more professional traders stay; $500 million Open Interest → institutional positions begin to settle → higher activity in the perpetual market. $98 million TVL → more capital is willing to keep funds in the ecosystem long-term → platform capital efficiency continues to improve. I think many people haven’t noticed what these numbers really mean—not that someone’s trading volume is bigger, but that more and more people are starting to accept a new trading model: trading can be handed to the platform, but assets cannot. If on-chain derivatives continue to grow in the future, I’d actually say the truly valuable thing may not be which exchange offers the highest subsidies, but who first turns “trust” into infrastructure. At least for now, that’s the path GRVT is taking, and I’ll keep observing. @grvt_io #grvt
After finishing scrolling through the #ALPHA rankings, I went back to look at the data on the chain. I originally wanted to see whether there were any new opportunities, but in the end I still ended up digging into GRVT’s whitepaper.

I realized that the way I look at projects has changed compared to before. Back then, my first glance was always at the fundraising and the token. Now, my first glance is actually at this: where exactly does this platform put users’ money?

A lot of people talk about GRVT—zk, hybrid exchange, and so on. I don’t think repeating these terms matters much. What truly made me stop and study it is that it completely separates trading from assets.

In the past, the biggest risk of centralized exchanges wasn’t slow matching—it was that both your assets and your trading permissions were handed over to the platform. When the market is good, nobody thinks it’s a problem. But once the platform has issues, even the highest returns turn out to be fake.

GRVT’s design is quite interesting. Orders continue to be matched off-chain to ensure speed; the assets are still controlled by the user; and finally, on-chain settlement is completed through zk verification. In plain terms, it’s not competing on TPS—it’s competing on the cost of trust.

I later went to cross-check the official website data and found that this mechanism isn’t just sitting on a PPT anymore. As of now, cumulative trading volume has already exceeded $177 billion, Open Interest is over $500 million, TVL is close to $98 million, and the number of community users has also surpassed 500,000.

The data line is actually pretty clear:
$177 billion trading volume → liquidity becomes deeper → more professional traders stay;
$500 million Open Interest → institutional positions begin to settle → higher activity in the perpetual market.

$98 million TVL
→ more capital is willing to keep funds in the ecosystem long-term
→ platform capital efficiency continues to improve.

I think many people haven’t noticed what these numbers really mean—not that someone’s trading volume is bigger, but that more and more people are starting to accept a new trading model: trading can be handed to the platform, but assets cannot.

If on-chain derivatives continue to grow in the future, I’d actually say the truly valuable thing may not be which exchange offers the highest subsidies, but who first turns “trust” into infrastructure.

At least for now, that’s the path GRVT is taking, and I’ll keep observing.

@grvt_io
#grvt
Verified
Article
AI will get cheaper and cheaper, but Newton’s authorization layer may become more and more valuableToo hard to get—today #ALPHA I’ve been trying to claim the air drop but can’t. Luckily there are still old coins with 38u! In the past few days, I’ve been researching @NewtonProtocol . I found that the market is still putting its attention on AI Agents, while overlooking the underlying infrastructure that actually determines whether AI can manage assets. I read the whitepaper again and again, and I found that its most core part isn’t the model, but the Policy Engine (policy engine). Many people haven’t noticed that an on-chain transaction in $NEWT is not as simple as "signature → execution". Instead, it goes through a four-layer flow: Intent (transaction intent) → Policy Engine (policy verification) → Operator Network (verification network) → Smart Contract (on-chain execution). That means 1 Intent corresponds to 1 authorization verification—not an authorization that remains permanently valid.

AI will get cheaper and cheaper, but Newton’s authorization layer may become more and more valuable

Too hard to get—today #ALPHA I’ve been trying to claim the air drop but can’t. Luckily there are still old coins with 38u!
In the past few days, I’ve been researching @NewtonProtocol . I found that the market is still putting its attention on AI Agents, while overlooking the underlying infrastructure that actually determines whether AI can manage assets.
I read the whitepaper again and again, and I found that its most core part isn’t the model, but the Policy Engine (policy engine).
Many people haven’t noticed that an on-chain transaction in $NEWT is not as simple as "signature → execution". Instead, it goes through a four-layer flow: Intent (transaction intent) → Policy Engine (policy verification) → Operator Network (verification network) → Smart Contract (on-chain execution). That means 1 Intent corresponds to 1 authorization verification—not an authorization that remains permanently valid.
Log in to explore more content
Join global crypto users on Binance Square
⚡️ Get latest and useful information about crypto.
💬 Trusted by the world’s largest crypto exchange.
👍 Discover real insights from verified creators.
Email / Phone number
Sitemap
Cookie Preferences
Platform T&Cs