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Self-Cultivation of a Black Slave (The Black Slave Trading Tournament Is Here 😂) Binance RTXUSDT Perpetual Futures Trading Competition kicks off at 18:00 on July 7 and ends at 18:00 on July 17. As long as you use a Binance Wallet (the kind without private keys) to trade RTXUSDT in the app or on the web, and accumulate at least 1000U in trading volume, the first 1560 people can receive 30 RTX (about 30U—enough to grab a KFC meal). ⚠️ Reminder for brothers participating in the wallet trading competition: Use the Binance invitation code MY6751 to save 30% on trading fees (highest on the whole internet). Funds will be credited automatically. Existing accounts can also fill it in: Alpha, spot, trading competitions, perpetuals, and tokenized stocks—everything saves 30%. Three steps to get it done: 1️⃣ Binance App → Wallet → Invite friends 2️⃣ Click "Enter invitation code" to reduce fees by 30% 3️⃣ Enter MY6751 $RTX $ACU $WMTX #币安九周年 #alpha交易赛
Self-Cultivation of a Black Slave (The Black Slave Trading Tournament Is Here 😂)

Binance RTXUSDT Perpetual Futures Trading Competition kicks off at 18:00 on July 7 and ends at 18:00 on July 17.
As long as you use a Binance Wallet (the kind without private keys) to trade RTXUSDT in the app or on the web, and accumulate at least 1000U in trading volume, the first 1560 people can receive 30 RTX (about 30U—enough to grab a KFC meal).

⚠️ Reminder for brothers participating in the wallet trading competition: Use the Binance invitation code MY6751 to save 30% on trading fees (highest on the whole internet). Funds will be credited automatically. Existing accounts can also fill it in: Alpha, spot, trading competitions, perpetuals, and tokenized stocks—everything saves 30%.

Three steps to get it done:
1️⃣ Binance App → Wallet → Invite friends
2️⃣ Click "Enter invitation code" to reduce fees by 30%
3️⃣ Enter MY6751
$RTX $ACU $WMTX
#币安九周年 #alpha交易赛
PINNED
⚠️ Reminder, brothers: Use Binance invite code MY6751 to save 30% on fees (highest across the entire web). Automatic credit. Even old accounts that are already in use can fill it in. Alpha, spot, trading contest, futures, and tokenized stocks—everything saves 30%. Done in three steps: 1️⃣ Binance App → Wallet → Invite Friends 2️⃣ Tap "Enter invite code" to reduce fees by 30% 3️⃣ Enter MY6751
⚠️ Reminder, brothers: Use Binance invite code MY6751 to save 30% on fees (highest across the entire web). Automatic credit. Even old accounts that are already in use can fill it in. Alpha, spot, trading contest, futures, and tokenized stocks—everything saves 30%.

Done in three steps:
1️⃣ Binance App → Wallet → Invite Friends
2️⃣ Tap "Enter invite code" to reduce fees by 30%
3️⃣ Enter MY6751
Article
Who checks the “checker”? Newton still needs a challenger economyA few days ago, while I was organizing the execution logs of an automated trade, I suddenly thought of an uncomfortable question: if the system provides a receipt saying “verification passed,” do ordinary users still need to doubt it? Intuitively, it seems unnecessary. The idea behind @NewtonProtocol is to hand over a transaction’s intent to Policy evaluation first, then have the operator nodes perform verification. Combined with a trusted execution environment, cryptographic proofs, and on-chain records, the agent can’t arbitrarily bypass the boundaries set by the user. Since the process is verifiable, the result should appear trustworthy. On-chain systems are often most difficult not because of whether there is evidence, but because of who is willing to spend the time to check it.

Who checks the “checker”? Newton still needs a challenger economy

A few days ago, while I was organizing the execution logs of an automated trade, I suddenly thought of an uncomfortable question: if the system provides a receipt saying “verification passed,” do ordinary users still need to doubt it?
Intuitively, it seems unnecessary. The idea behind @NewtonProtocol is to hand over a transaction’s intent to Policy evaluation first, then have the operator nodes perform verification. Combined with a trusted execution environment, cryptographic proofs, and on-chain records, the agent can’t arbitrarily bypass the boundaries set by the user. Since the process is verifiable, the result should appear trustworthy.
On-chain systems are often most difficult not because of whether there is evidence, but because of who is willing to spend the time to check it.
🎙️ Let’s talk about investment mindset and DCA into BNB spot!
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Bullish
Last night a friend asked me: @NewtonProtocol Since it’s possible to restrict a proxy’s amount, currency, and protocol, why not just create a few templates and let ordinary people choose with a single click? That idea is practical, but the more I think about it, the more I feel that templates are the easiest risk entry point to overlook. Say there’s a page with a “Conservative DCA” template. By default it allows the proxy to buy once per week, spend up to 500 USDC at most, and only use the specified DEX. When users see the words “conservative,” they probably won’t check every item one by one. But once a template sets the validity period too long, or forgets to include a slippage cap, the proxy will still follow the rules strictly—only the rules may not actually match what users believe “conservative” means. @NewtonProtocol ’s zkPermissions can prove the proxy doesn’t go out of bounds, and Policy can also block invalid actions before execution. However, they solve the question of whether the proxy is following the rules, not whether this set of rules is written well. So I think permission templates can’t just show a name. At minimum, they should publicly include the version number, creator, audit records, applicable scenarios, and the worst-case loss. And when parameters change, any old authorization should automatically become invalid so users must confirm again. It’s like a rental agreement: even if an e-signature is reliable, you still have to clearly review the deposit, the term, and the breach clauses. The real key for Newton to lower the barrier isn’t hiding complex configuration—it’s translating risk into choices that ordinary people can understand.🔐 $NEWT #Newt
Last night a friend asked me: @NewtonProtocol Since it’s possible to restrict a proxy’s amount, currency, and protocol, why not just create a few templates and let ordinary people choose with a single click?

That idea is practical, but the more I think about it, the more I feel that templates are the easiest risk entry point to overlook.

Say there’s a page with a “Conservative DCA” template. By default it allows the proxy to buy once per week, spend up to 500 USDC at most, and only use the specified DEX. When users see the words “conservative,” they probably won’t check every item one by one. But once a template sets the validity period too long, or forgets to include a slippage cap, the proxy will still follow the rules strictly—only the rules may not actually match what users believe “conservative” means.

@NewtonProtocol ’s zkPermissions can prove the proxy doesn’t go out of bounds, and Policy can also block invalid actions before execution. However, they solve the question of whether the proxy is following the rules, not whether this set of rules is written well.

So I think permission templates can’t just show a name. At minimum, they should publicly include the version number, creator, audit records, applicable scenarios, and the worst-case loss. And when parameters change, any old authorization should automatically become invalid so users must confirm again.

It’s like a rental agreement: even if an e-signature is reliable, you still have to clearly review the deposit, the term, and the breach clauses. The real key for Newton to lower the barrier isn’t hiding complex configuration—it’s translating risk into choices that ordinary people can understand.🔐 $NEWT #Newt
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Bullish
I used to trade on-chain exchanges, and what I feared most wasn’t not knowing how to operate—it was every step being slowed down by “on-chain vibes”: signing, waiting for confirmations, checking Gas, and worrying that the trade would be slow to execute. But when I went back to a centralized exchange, I had a different concern: everything is smooth, but where exactly are the boundaries for your funds? So when I looked at @grvt_io , what resonated with me wasn’t just the phrase “hybrid exchange.” It was the way it handles a single transaction in two layers. The speed-critical parts—order matching and trade execution—run off-chain, resulting in a user experience close to a familiar exchange. The heavier, more security- and ownership-related parts—asset custody, collateral, and settlement—are handled on-chain and through smart contracts. This sounds like a technical architecture, but in plain terms it means: don’t force the fast parts onto the blockchain, and don’t make the heavy parts a black box. 🙂 What a real trader cares about is actually very simple: don’t get stuck while placing orders, don’t let fills be slow, and don’t leave your fund situation unclear. Many DEXs used to emphasize decentralization, but the experience felt like fixing a computer. Many CEXs feel smooth, but you can only trust the platform’s backend. GRVT’s goal is to reassign the pieces from both sides that most affect the user experience. Personally, I’m most afraid of that kind of product where “the concept is very advanced,” but the moment you click, it’s all just waiting. Trading opportunities don’t wait—especially when the market moves fast. Even an extra ten or twenty seconds can change your mindset. But speed also can’t come at the cost of sacrificing fund transparency; otherwise the smoothness is only skin-deep. I think this direction is worth paying attention to, because in the end, trading products aren’t judged by how advanced the concept is—they’re judged by whether you hesitate at the moment you place the order. Can it be as smooth as a CEX, while still preserving on-chain fund boundaries and settlement transparency? That’s what makes @grvt_io particularly interesting. #grvt
I used to trade on-chain exchanges, and what I feared most wasn’t not knowing how to operate—it was every step being slowed down by “on-chain vibes”: signing, waiting for confirmations, checking Gas, and worrying that the trade would be slow to execute. But when I went back to a centralized exchange, I had a different concern: everything is smooth, but where exactly are the boundaries for your funds?

So when I looked at @grvt_io , what resonated with me wasn’t just the phrase “hybrid exchange.” It was the way it handles a single transaction in two layers. The speed-critical parts—order matching and trade execution—run off-chain, resulting in a user experience close to a familiar exchange. The heavier, more security- and ownership-related parts—asset custody, collateral, and settlement—are handled on-chain and through smart contracts.

This sounds like a technical architecture, but in plain terms it means: don’t force the fast parts onto the blockchain, and don’t make the heavy parts a black box. 🙂

What a real trader cares about is actually very simple: don’t get stuck while placing orders, don’t let fills be slow, and don’t leave your fund situation unclear. Many DEXs used to emphasize decentralization, but the experience felt like fixing a computer. Many CEXs feel smooth, but you can only trust the platform’s backend. GRVT’s goal is to reassign the pieces from both sides that most affect the user experience.

Personally, I’m most afraid of that kind of product where “the concept is very advanced,” but the moment you click, it’s all just waiting. Trading opportunities don’t wait—especially when the market moves fast. Even an extra ten or twenty seconds can change your mindset. But speed also can’t come at the cost of sacrificing fund transparency; otherwise the smoothness is only skin-deep.

I think this direction is worth paying attention to, because in the end, trading products aren’t judged by how advanced the concept is—they’re judged by whether you hesitate at the moment you place the order. Can it be as smooth as a CEX, while still preserving on-chain fund boundaries and settlement transparency? That’s what makes @grvt_io particularly interesting. #grvt
Article
Model Registry: The real difficulty isn’t onboarding the agent, but building a reputation for itToday I want to discuss Newton from a different angle. In the past few days, what everyone talked about the most was Policy Engine, TEE, ZK, and Keystore Rollup—these are all important. But the more I look, the more I feel that after @NewtonProtocol comes the harder challenge: it might be Model Registry. The reason is simple: the permission layer solves the problem of whether a proxy can act arbitrarily, but it cannot solve whether the proxy is actually reliable. These two problems are very different. Suppose that in the future, on Newton there is an automated rebalancing agent. You set its permissions for it: it can move at most 1000 U, it can only interact with specified protocols, it cannot transfer to unknown addresses, and if the slippage exceeds the limit, it rejects execution. zkPermissions can verify that it does not exceed its privileges, and the Policy Engine can check whether it follows the rules. This safety boundary is valuable.

Model Registry: The real difficulty isn’t onboarding the agent, but building a reputation for it

Today I want to discuss Newton from a different angle. In the past few days, what everyone talked about the most was Policy Engine, TEE, ZK, and Keystore Rollup—these are all important. But the more I look, the more I feel that after @NewtonProtocol comes the harder challenge: it might be Model Registry.
The reason is simple: the permission layer solves the problem of whether a proxy can act arbitrarily, but it cannot solve whether the proxy is actually reliable.
These two problems are very different.
Suppose that in the future, on Newton there is an automated rebalancing agent. You set its permissions for it: it can move at most 1000 U, it can only interact with specified protocols, it cannot transfer to unknown addresses, and if the slippage exceeds the limit, it rejects execution. zkPermissions can verify that it does not exceed its privileges, and the Policy Engine can check whether it follows the rules. This safety boundary is valuable.
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Bullish
Verified
Today’s recap on Newton. I didn’t continue with a big framework like “AI agents are dangerous.” Instead, I zeroed in on a smaller question: if the Policy Engine for @NewtonProtocol blocks a transaction, what exactly will the user see? This detail matters. The biggest problem with many security products isn’t that they fail to block—it’s that after blocking, all they give you is a single, “Execution failed.” For regular users, seeing just those four words isn’t reassuring; it’s confusing. Did the limit get exceeded? Is the contract not on the allowlist? Is the price data abnormal? Or is there something wrong with the AI agent’s actions themselves? 🤔 I agree with the direction of @NewtonProtocol . It turns pre-transaction checks into rules: limits, time windows, contract scope, and recipient addresses—everything can have boundaries set in advance. But what truly determines the experience is whether the failure message can be understandable. For example, if the system tells me: “This transaction was blocked because the target contract is not in the authorized allowlist, and the call amount exceeds the per-transaction cap by 18%.” That’s useful. Then users can decide whether to loosen the rules, switch routes, or simply give up on the transaction. So when I look at $NEWT , I don’t just see whether it can generate proofs—I also see whether it can translate the reasons behind the proof into something ordinary people can understand. If on-chain AI wants to move beyond the developer circle, it can’t just execute; it also has to explain why it didn’t execute. #Newt
Today’s recap on Newton. I didn’t continue with a big framework like “AI agents are dangerous.” Instead, I zeroed in on a smaller question: if the Policy Engine for @NewtonProtocol blocks a transaction, what exactly will the user see?

This detail matters. The biggest problem with many security products isn’t that they fail to block—it’s that after blocking, all they give you is a single, “Execution failed.” For regular users, seeing just those four words isn’t reassuring; it’s confusing. Did the limit get exceeded? Is the contract not on the allowlist? Is the price data abnormal? Or is there something wrong with the AI agent’s actions themselves? 🤔

I agree with the direction of @NewtonProtocol . It turns pre-transaction checks into rules: limits, time windows, contract scope, and recipient addresses—everything can have boundaries set in advance. But what truly determines the experience is whether the failure message can be understandable.

For example, if the system tells me: “This transaction was blocked because the target contract is not in the authorized allowlist, and the call amount exceeds the per-transaction cap by 18%.” That’s useful. Then users can decide whether to loosen the rules, switch routes, or simply give up on the transaction.

So when I look at $NEWT , I don’t just see whether it can generate proofs—I also see whether it can translate the reasons behind the proof into something ordinary people can understand. If on-chain AI wants to move beyond the developer circle, it can’t just execute; it also has to explain why it didn’t execute.
#Newt
I used to think “account security” just meant making your password more complex and enabling 2FA. Until I looked at the SecureKey design of @grvt_io , I realized the truly dangerous part of a trading platform isn’t whether someone else can log in—it’s whether someone else can move your assets for you. That distinction is very down-to-earth. Logging in with an email is like entering an office: you can view your account, see your positions, and attend events. But when it comes to actually opening a position, withdrawing, or doing anything that changes the ownership of funds, you need SecureKey signatures. In other words, you can get in the door, but opening the safe requires another key. 🔑 I think this makes it easier to understand than simply shouting “self-custody.” Many projects say “funds are controlled by the users,” but ordinary people still feel confused after hearing it: control—exactly where? GRVT breaks it down into a clearer process: Web2 credentials handle a smooth user experience, SecureKey handles transaction signing and asset actions. Users don’t have to be forced to perform every step on-chain and be tortured by it, but the key actions can’t bypass signatures. For trading users, the value of this design isn’t showmanship—it’s reducing a very real kind of anxiety: I can enjoy an operational experience close to a CEX, while not fully handing over control of my funds. Especially for high-frequency chart watching and temporary rebalancing, if security is too heavy it’s annoying, but if it’s too light you’re afraid. So when I look at @grvt_io , I don’t just ask whether it’s the concept of a “hybrid exchange.” I ask whether it clearly explains the step users fear the most: who can see the account, who can move assets, and which steps must be signed. The clearer that boundary is, the more at ease you feel in trading. #grvt #LAB三日跌94% #美光毛利率创纪录84.9% #SK海力士IPO承销费超1.4亿美元
I used to think “account security” just meant making your password more complex and enabling 2FA. Until I looked at the SecureKey design of @grvt_io , I realized the truly dangerous part of a trading platform isn’t whether someone else can log in—it’s whether someone else can move your assets for you.

That distinction is very down-to-earth. Logging in with an email is like entering an office: you can view your account, see your positions, and attend events. But when it comes to actually opening a position, withdrawing, or doing anything that changes the ownership of funds, you need SecureKey signatures. In other words, you can get in the door, but opening the safe requires another key. 🔑

I think this makes it easier to understand than simply shouting “self-custody.” Many projects say “funds are controlled by the users,” but ordinary people still feel confused after hearing it: control—exactly where? GRVT breaks it down into a clearer process: Web2 credentials handle a smooth user experience, SecureKey handles transaction signing and asset actions. Users don’t have to be forced to perform every step on-chain and be tortured by it, but the key actions can’t bypass signatures.

For trading users, the value of this design isn’t showmanship—it’s reducing a very real kind of anxiety: I can enjoy an operational experience close to a CEX, while not fully handing over control of my funds. Especially for high-frequency chart watching and temporary rebalancing, if security is too heavy it’s annoying, but if it’s too light you’re afraid.

So when I look at @grvt_io , I don’t just ask whether it’s the concept of a “hybrid exchange.” I ask whether it clearly explains the step users fear the most: who can see the account, who can move assets, and which steps must be signed. The clearer that boundary is, the more at ease you feel in trading. #grvt
#LAB三日跌94% #美光毛利率创纪录84.9% #SK海力士IPO承销费超1.4亿美元
LAB-36.81%
SKHYNIX-0.24%
MUUS-1.17%
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Bullish
📅 July 10 (today) Operation reference|The Alpha preview is out. Queue up at 17:00 sharp—don’t miss it today. 1. Airdrops Brothers, good afternoon. Binance has just released a preview: today at 17:00 (SGT) there will be an Alpha airdrop. If you hold 245 points or more, you can apply—first come, first served. This week they only sent out one, so there’s a good chance they’ll top up another today. It’s expected to be around 30U of old coins to make up the numbers. Having some is better than none—don’t miss the timing. 2. Recommendations for today’s actions 1️⃣ Points brushing strategy · $NES (14-day) + $ARX (12-day). Test with small amounts of 300–500U. Don’t get greedy. 2️⃣ USD1 wealth management benefits It’s starting to renew today. If your contract holdings are greater than 300 USD1, you can enjoy a 1.2x accelerated rate. The simplest move: place it into your savings (current) wealth management or a leverage account. The annualized return is about 8.5%, and that interest rate is quite good. If you have spare money, don’t let it sit idle. ⚠️ Reminder, brothers: Use the Binance invitation code MY6751 to save 30% on fees (highest on the entire internet). Auto deposits. Even old accounts that are already in use can fill in the Alpha, spot, trading competitions, contracts, and tokenized stocks—everything saves 30%. 📌 Setup steps: · Step 1: Open the Binance App, tap “Wallet” at the top right → Invite friends · Step 2: Tap “Enter invitation code” to reduce trading fees by 30% · Step 3: Enter MY6751 and confirm 3. Trading Competition updates Project | End time | Current minimum threshold | Reward spots KGEN (ended) | July 9 21:00 | 325,560 | 2200 NEX (ends tonight) | July 10 21:00 | 3,364 | 2000 SLX | July 14 21:00 | 0 | 2060 O | July 14 21:00 | 48,619 | 2090 NES | July 15 21:00 | 33,062 | 2260 UB | July 15 21:00 | 0 | 2060 NEX wraps up tonight. The threshold is already at 3364—it's up a decent amount. If you’re still on board, keep a close eye on the time. That’s all for today. Remember to grab the airdrop at 17:00—don’t just watch and miss what matters. #ALPHA #ALPHA🔥 #撸毛攻略 #LAB三日跌94% #美光毛利率创纪录84.9%
📅 July 10 (today)

Operation reference|The Alpha preview is out. Queue up at 17:00 sharp—don’t miss it today.

1. Airdrops

Brothers, good afternoon. Binance has just released a preview: today at 17:00 (SGT) there will be an Alpha airdrop. If you hold 245 points or more, you can apply—first come, first served. This week they only sent out one, so there’s a good chance they’ll top up another today. It’s expected to be around 30U of old coins to make up the numbers. Having some is better than none—don’t miss the timing.

2. Recommendations for today’s actions

1️⃣ Points brushing strategy

· $NES (14-day) + $ARX (12-day). Test with small amounts of 300–500U. Don’t get greedy.

2️⃣ USD1 wealth management benefits
It’s starting to renew today. If your contract holdings are greater than 300 USD1, you can enjoy a 1.2x accelerated rate. The simplest move: place it into your savings (current) wealth management or a leverage account. The annualized return is about 8.5%, and that interest rate is quite good. If you have spare money, don’t let it sit idle.

⚠️ Reminder, brothers: Use the Binance invitation code MY6751 to save 30% on fees (highest on the entire internet). Auto deposits. Even old accounts that are already in use can fill in the Alpha, spot, trading competitions, contracts, and tokenized stocks—everything saves 30%.

📌 Setup steps:

· Step 1: Open the Binance App, tap “Wallet” at the top right → Invite friends
· Step 2: Tap “Enter invitation code” to reduce trading fees by 30%
· Step 3: Enter MY6751 and confirm

3. Trading Competition updates

Project | End time | Current minimum threshold | Reward spots
KGEN (ended) | July 9 21:00 | 325,560 | 2200
NEX (ends tonight) | July 10 21:00 | 3,364 | 2000
SLX | July 14 21:00 | 0 | 2060
O | July 14 21:00 | 48,619 | 2090
NES | July 15 21:00 | 33,062 | 2260
UB | July 15 21:00 | 0 | 2060

NEX wraps up tonight. The threshold is already at 3364—it's up a decent amount. If you’re still on board, keep a close eye on the time.

That’s all for today. Remember to grab the airdrop at 17:00—don’t just watch and miss what matters.
#ALPHA #ALPHA🔥 #撸毛攻略
#LAB三日跌94% #美光毛利率创纪录84.9%
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Bullish
Last night I didn’t keep watching the candlestick (K-line). Instead, I went through Newton’s Policy Engine documentation. The more I read, the more it feels like it isn’t traditional risk control—it’s more like “house rules” written for AI agents. Back when we used robots, what we feared wasn’t that they weren’t smart. It was that they were too free. You originally just wanted it to help rebalance your portfolio. But once you opened up the permissions, what it could touch—wallets, contracts, limits—became blurry. After something goes wrong, when you go check the logs, usually all you get is one line: “The trade has already happened.” 😅 The approach behind @NewtonProtocol is pretty straightforward: don’t rush to let the AI execute. First, ask whether it has the authority to execute. For example, per-transaction limits, which contracts it’s allowed to interact with, certain addresses it’s forbidden to touch, and certain assets it’s not allowed to move—these rules can be written into a Policy ahead of time. Then when the AI analyzes, as long as it hits a red line, it won’t pass the pre-settlement checks. What I find most interesting here isn’t that “the AI is more powerful,” but that “the AI is constrained more clearly.” It’s just like driving: no matter how good the engine is, you still need brakes, speed limits, and lane lines. Without those, the faster you go, the more dangerous it becomes. Of course, whether the rules are written well also matters a lot. Rego isn’t something ordinary users can understand at a glance. If the policy templates, visual configuration, and error messages aren’t done well, in the end it may still be developers who can make sense of it, while regular people are left confused. So when I look at $NEWT , I’m not just reading the story. I care more about whether it can turn complex permission rules into “safety switches” that ordinary users are actually willing to use. If this step works, then on-chain AI agents won’t just know how to get work done—they’ll also know what work they’re not allowed to mess with. #Newt
Last night I didn’t keep watching the candlestick (K-line). Instead, I went through Newton’s Policy Engine documentation. The more I read, the more it feels like it isn’t traditional risk control—it’s more like “house rules” written for AI agents.

Back when we used robots, what we feared wasn’t that they weren’t smart. It was that they were too free. You originally just wanted it to help rebalance your portfolio. But once you opened up the permissions, what it could touch—wallets, contracts, limits—became blurry. After something goes wrong, when you go check the logs, usually all you get is one line: “The trade has already happened.” 😅

The approach behind @NewtonProtocol is pretty straightforward: don’t rush to let the AI execute. First, ask whether it has the authority to execute. For example, per-transaction limits, which contracts it’s allowed to interact with, certain addresses it’s forbidden to touch, and certain assets it’s not allowed to move—these rules can be written into a Policy ahead of time. Then when the AI analyzes, as long as it hits a red line, it won’t pass the pre-settlement checks.

What I find most interesting here isn’t that “the AI is more powerful,” but that “the AI is constrained more clearly.” It’s just like driving: no matter how good the engine is, you still need brakes, speed limits, and lane lines. Without those, the faster you go, the more dangerous it becomes.

Of course, whether the rules are written well also matters a lot. Rego isn’t something ordinary users can understand at a glance. If the policy templates, visual configuration, and error messages aren’t done well, in the end it may still be developers who can make sense of it, while regular people are left confused.

So when I look at $NEWT , I’m not just reading the story. I care more about whether it can turn complex permission rules into “safety switches” that ordinary users are actually willing to use. If this step works, then on-chain AI agents won’t just know how to get work done—they’ll also know what work they’re not allowed to mess with. #Newt
Article
Newton’s ZK Cost Ledger: Verifiability Isn’t a Free LunchToday I want to talk about a problem that isn’t exactly in the spotlight, but is crucial: how expensive are Newton’s ZK proofs, really? Or, in a more down-to-earth way: are ordinary users willing to pay for “verifiability”? Many people talk about @NewtonProtocol , and the first reaction is AI agents, automated trading, on-chain strategies, and intelligent execution. These words are certainly important, but the more I look, the more I feel that Newton’s real underlying problem isn’t “whether AI can get things done,” but “after AI gets things done, how do others trust that it didn’t do anything fishy.” That inevitably leads to ZK. Zero-knowledge proofs sound really cool—like stamping a cryptographic seal on off-chain execution results. You don’t have to move all the computation on-chain, and you don’t have to expose every detail of each step, but you can still verify that the results follow the rules. For automated strategies, this is very tempting: you can save on on-chain costs while preserving auditability.

Newton’s ZK Cost Ledger: Verifiability Isn’t a Free Lunch

Today I want to talk about a problem that isn’t exactly in the spotlight, but is crucial: how expensive are Newton’s ZK proofs, really? Or, in a more down-to-earth way: are ordinary users willing to pay for “verifiability”?
Many people talk about @NewtonProtocol , and the first reaction is AI agents, automated trading, on-chain strategies, and intelligent execution. These words are certainly important, but the more I look, the more I feel that Newton’s real underlying problem isn’t “whether AI can get things done,” but “after AI gets things done, how do others trust that it didn’t do anything fishy.”
That inevitably leads to ZK. Zero-knowledge proofs sound really cool—like stamping a cryptographic seal on off-chain execution results. You don’t have to move all the computation on-chain, and you don’t have to expose every detail of each step, but you can still verify that the results follow the rules. For automated strategies, this is very tempting: you can save on on-chain costs while preserving auditability.
July 9 Operation Reference|Brothers, good afternoon. I just took a quick look at Alpha and the various activities—let me chat a bit. 1. Airdrops 📅 July 9 (today) 1️⃣ Binance Alpha airdrop At this pace, tonight there’s a high chance that older coins will get hit with another airdrop attack—don’t get sleepy, keep an eye on the notifications. If you move slowly, it’s gone. 2. Today’s operation suggestions 1️⃣ Score-increasing strategy · $NES (15-day) + $ARX (13-day): Try with small amounts of 300–500U first—don’t go too greedy. 2️⃣ 9th Anniversary Campaign There are 9 tasks in total. The maximum reward is 99.99 BNB. Complete the tasks one by one—right now you can get up to the 9th task. Task❶ Recharge 50U. You can do C2C or via wallet. If your wallet doesn’t have it, withdraw from the exchange first, then withdraw it back. Task❷ Trade 500U. Make sure you don’t trade with 0-fee. I chose 500U worth of BNB. Task❸ Financial management 29U: Buy 29 USDC current account financial management for 2 days. Task❹ Futures/Contracts tower: You can open with BNB loss of 0.5U. Task❺ bStocks: I bought 200U of $SPCXB , path: Market → Traditional Finance → Spot. Task❻ Invite: Put your link in the comment section; others can open it in their browser. Task❼ Spot: I bought $BTC worth 226U—pass the requirement. Task❽ Invite: This requires a new registration. If you haven’t registered, use the link below to register and complete the task [https://www.bsmkweb.cc/activity/binance-turns-9?ref=MY6751](https://www.bsmkweb.cc/activity/binance-turns-9?ref=MY6751). Task❾ Prediction: In your wallet go to Prediction → Culture → “Will Jesus be born in 2027?” Choose No, buy, then sell after. Buy with 51U. ⚠️ Binance Wallet invitation bonus Binance Wallet has started charging fees. Fill in my invitation code MY6751 to help brothers save 30% of trading fee rebates—automatic commission, credited automatically. Coverage: Alpha刷, buy US stocks, dog-betting, trading contests, on-chain contracts, etc. Predictions all get the 30% rebate. 📌 Setup steps: · Step 1: Open the Binance App, tap “Wallet” at the top right → Invite friends · Step 2: Tap “Enter invitation code” → trading fee reduced by 30% · Step 3: Enter MY6751 and confirm 3. Trading contest updates Project End time Current lowest threshold Reward spots KGEN July 9 21:00 325,560 2200 NEX July 10 21:00 765 2000 SLX July 14 21:00 0 2060 O July 14 21:00 70 2090 NES July 15 21:00 0 2260 UB July 15 21:00 0 2060 #币安九周年 #Alpha #ALPHA🔥
July 9 Operation Reference|Brothers, good afternoon. I just took a quick look at Alpha and the various activities—let me chat a bit.

1. Airdrops

📅 July 9 (today)

1️⃣ Binance Alpha airdrop
At this pace, tonight there’s a high chance that older coins will get hit with another airdrop attack—don’t get sleepy, keep an eye on the notifications. If you move slowly, it’s gone.

2. Today’s operation suggestions

1️⃣ Score-increasing strategy

· $NES (15-day) + $ARX (13-day): Try with small amounts of 300–500U first—don’t go too greedy.

2️⃣ 9th Anniversary Campaign

There are 9 tasks in total. The maximum reward is 99.99 BNB. Complete the tasks one by one—right now you can get up to the 9th task.

Task❶ Recharge 50U. You can do C2C or via wallet. If your wallet doesn’t have it, withdraw from the exchange first, then withdraw it back.
Task❷ Trade 500U. Make sure you don’t trade with 0-fee. I chose 500U worth of BNB.
Task❸ Financial management 29U: Buy 29 USDC current account financial management for 2 days.
Task❹ Futures/Contracts tower: You can open with BNB loss of 0.5U.
Task❺ bStocks: I bought 200U of $SPCXB , path: Market → Traditional Finance → Spot.
Task❻ Invite: Put your link in the comment section; others can open it in their browser.
Task❼ Spot: I bought $BTC worth 226U—pass the requirement.
Task❽ Invite: This requires a new registration. If you haven’t registered, use the link below to register and complete the task https://www.bsmkweb.cc/activity/binance-turns-9?ref=MY6751.
Task❾ Prediction: In your wallet go to Prediction → Culture → “Will Jesus be born in 2027?” Choose No, buy, then sell after. Buy with 51U.

⚠️ Binance Wallet invitation bonus
Binance Wallet has started charging fees. Fill in my invitation code MY6751 to help brothers save 30% of trading fee rebates—automatic commission, credited automatically.

Coverage: Alpha刷, buy US stocks, dog-betting, trading contests, on-chain contracts, etc. Predictions all get the 30% rebate.

📌 Setup steps:

· Step 1: Open the Binance App, tap “Wallet” at the top right → Invite friends
· Step 2: Tap “Enter invitation code” → trading fee reduced by 30%
· Step 3: Enter MY6751 and confirm

3. Trading contest updates

Project End time Current lowest threshold Reward spots
KGEN July 9 21:00 325,560 2200
NEX July 10 21:00 765 2000
SLX July 14 21:00 0 2060
O July 14 21:00 70 2090
NES July 15 21:00 0 2260
UB July 15 21:00 0 2060
#币安九周年 #Alpha #ALPHA🔥
Binance old iron friend, happy 9th birthday! 🎂 From unlocking the 1st landmark to collecting all 9, it’s been quite a ride following your “Built by you”—not only did we grind out USDC, we’re also waiting to go for that ultimate prize of 99.99 BNB (dreaming isn’t illegal, right 😄). After nine years of ups and downs, you’ve managed to take it and have fun too—us old users just want something solid and some excitement. Let’s keep grinding together in the future, keep watching the market together, wishing that we all get rich—may Binance get even more hardcore and better every day! #BinanceTurns9 keep pushing, go go go! 🚀 (My story is still being written—what about yours? Scan the code to see~)
Binance old iron friend, happy 9th birthday! 🎂
From unlocking the 1st landmark to collecting all 9, it’s been quite a ride following your “Built by you”—not only did we grind out USDC, we’re also waiting to go for that ultimate prize of 99.99 BNB (dreaming isn’t illegal, right 😄).
After nine years of ups and downs, you’ve managed to take it and have fun too—us old users just want something solid and some excitement.
Let’s keep grinding together in the future, keep watching the market together, wishing that we all get rich—may Binance get even more hardcore and better every day!
#BinanceTurns9 keep pushing, go go go! 🚀
(My story is still being written—what about yours? Scan the code to see~)
Today I want to talk about a pitfall that’s easy to overlook: ZK proofs are reliable, but they can only prove that “the operation follows the boundaries you set.” They can’t tell whether the boundaries you set are correct. For example, I set rules for an AI agent: no more than 1000U per transaction, it can only access two protocols, A and B, and it must pause operations after 12:00 AM. Newton’s zkPermissions can turn these boundaries into verifiable conditions, so each time the agent executes, it proves it didn’t go out of bounds. Sounds solid, right? The problem is, if I initially set the limit to 10000U by mistake, set the pause time incorrectly, or accidentally put a high-risk protocol into the allowlist, ZK will still be very honest and prove that the operation satisfies the “incorrect parameters.” Mathematics won’t lie, but it also won’t do the human mental work for you. So I think what <@NewtonProtocol > is really trying to solve isn’t only “whether the agent exceeds permissions,” but also “whether users can understand what they’ve actually given permission for.” If parameter configuration is as hard to read as smart contract code, ordinary people will still end up blindly signing. What I’d rather see is that after Newton Mainnet Beta, permission boundaries become a readable checklist: limits, protocols, time windows, assets, and triggering conditions—item by item for users to confirm. ZK is responsible for proving, and the interface is responsible for preventing people from setting it wrong. Both are indispensable. The value of <$NEWT > shouldn’t be built only on the words “math security,” but on whether ordinary users can truly set the rules clearly.🙂 @NewtonProtocol $NEWT #Newt
Today I want to talk about a pitfall that’s easy to overlook: ZK proofs are reliable, but they can only prove that “the operation follows the boundaries you set.” They can’t tell whether the boundaries you set are correct.

For example, I set rules for an AI agent: no more than 1000U per transaction, it can only access two protocols, A and B, and it must pause operations after 12:00 AM. Newton’s zkPermissions can turn these boundaries into verifiable conditions, so each time the agent executes, it proves it didn’t go out of bounds. Sounds solid, right?

The problem is, if I initially set the limit to 10000U by mistake, set the pause time incorrectly, or accidentally put a high-risk protocol into the allowlist, ZK will still be very honest and prove that the operation satisfies the “incorrect parameters.” Mathematics won’t lie, but it also won’t do the human mental work for you.

So I think what <@NewtonProtocol > is really trying to solve isn’t only “whether the agent exceeds permissions,” but also “whether users can understand what they’ve actually given permission for.” If parameter configuration is as hard to read as smart contract code, ordinary people will still end up blindly signing.

What I’d rather see is that after Newton Mainnet Beta, permission boundaries become a readable checklist: limits, protocols, time windows, assets, and triggering conditions—item by item for users to confirm. ZK is responsible for proving, and the interface is responsible for preventing people from setting it wrong. Both are indispensable.

The value of <$NEWT > shouldn’t be built only on the words “math security,” but on whether ordinary users can truly set the rules clearly.🙂
@NewtonProtocol $NEWT #Newt
Article
The “central corridor” in decentralized systems: Newton’s NATS messaging layer is worth serious attentionToday we won’t talk about pricing, and we won’t talk about whether “AI agents” will change DeFi. I want to focus on a very small but crucial technical detail: @NewtonProtocol the NATS streaming message layer mentioned in the whitepaper. At first glance, this seems pretty ordinary—like a message queue engineers would only care about. But the more I think about it, the more I feel it could determine whether verifiable automation systems like Newton can actually run smoothly in real-world environments. 1. Decentralized systems also need communication Many people understand decentralization only in terms of node counts, staked amounts, and signature thresholds. It’s as if the system will naturally be reliable as long as there are enough operators, BLS can aggregate, and EigenLayer can provide economic security.

The “central corridor” in decentralized systems: Newton’s NATS messaging layer is worth serious attention

Today we won’t talk about pricing, and we won’t talk about whether “AI agents” will change DeFi. I want to focus on a very small but crucial technical detail: @NewtonProtocol the NATS streaming message layer mentioned in the whitepaper.
At first glance, this seems pretty ordinary—like a message queue engineers would only care about. But the more I think about it, the more I feel it could determine whether verifiable automation systems like Newton can actually run smoothly in real-world environments.
1. Decentralized systems also need communication
Many people understand decentralization only in terms of node counts, staked amounts, and signature thresholds. It’s as if the system will naturally be reliable as long as there are enough operators, BLS can aggregate, and EigenLayer can provide economic security.
📅 July 8 (Today) I. Airdrops & New Listings 1️⃣ Binance Alpha Airdrop Brothers, you’ve been waiting—6 days with no updates, and finally a blind box arrives. Multi-account users have been struggling to keep things going. Based on the previous schedule, today will most likely distribute 1. If you have multiple accounts, keep a close eye on it—don’t miss the claim time. II. Suggestions for Today’s Operations 1️⃣ Scoring/points strategy · $KGEN (1-day term): 300–500U in small amounts is appropriate · $ARX (14-day term): act within your means 2️⃣ 9th Anniversary Event Now you can reach Step 3, but currently it hasn’t shown as completed. Likely the backend data hasn’t synced—wait patiently, don’t rush. #币安九周年 3️⃣ Market overview BTC at 63k, $BNB 577—basically trading sideways with no major changes. Still a range-bound market. ⚠️ Binance Wallet invite bonus Binance Wallet has started charging fees. Fill in my invite code MY6751 to help brothers save 30% on transaction fees (highest ratio on the whole internet). The system cashback is credited automatically. It covers many scenarios: Alpha brushing, buying US stocks, dog-battling,刷交易赛, on-chain contracts, etc. The more you use it, the higher the cashback ratio I’ll adjust for everyone after the next upgrade. 📌 Setup steps: · Step 1: Open the Binance App, tap “Wallet” at the top-right → Invite friends · Step 2: Tap “Enter invite code,” transaction fees are reduced by 30% · Step 3: Enter MY6751 and confirm III. Trading Competition Updates Project End Time Current Lowest Threshold Reward Slots NES July 8 21:00 259,957 2260 KGEN July 9 21:00 268,871 2200 NEX July 10 21:00 31 2000 SLX July 14 21:00 0 2060 O July 14 21:00 0 2090 NES and KGEN will end today/tomorrow. The threshold keeps rising. If you’re already on the train, watch the time. If you haven’t joined yet, decide whether to chase it yourself. That’s all for today. If you have questions, chat in the comments—I'll respond when I see them. #ALPHA #ALPHA🔥
📅 July 8 (Today)

I. Airdrops & New Listings

1️⃣ Binance Alpha Airdrop
Brothers, you’ve been waiting—6 days with no updates, and finally a blind box arrives. Multi-account users have been struggling to keep things going.
Based on the previous schedule, today will most likely distribute 1. If you have multiple accounts, keep a close eye on it—don’t miss the claim time.

II. Suggestions for Today’s Operations

1️⃣ Scoring/points strategy

· $KGEN (1-day term): 300–500U in small amounts is appropriate
· $ARX (14-day term): act within your means

2️⃣ 9th Anniversary Event
Now you can reach Step 3, but currently it hasn’t shown as completed. Likely the backend data hasn’t synced—wait patiently, don’t rush. #币安九周年

3️⃣ Market overview
BTC at 63k, $BNB 577—basically trading sideways with no major changes. Still a range-bound market.

⚠️ Binance Wallet invite bonus
Binance Wallet has started charging fees. Fill in my invite code MY6751 to help brothers save 30% on transaction fees (highest ratio on the whole internet). The system cashback is credited automatically.

It covers many scenarios: Alpha brushing, buying US stocks, dog-battling,刷交易赛, on-chain contracts, etc. The more you use it, the higher the cashback ratio I’ll adjust for everyone after the next upgrade.

📌 Setup steps:

· Step 1: Open the Binance App, tap “Wallet” at the top-right → Invite friends
· Step 2: Tap “Enter invite code,” transaction fees are reduced by 30%
· Step 3: Enter MY6751 and confirm

III. Trading Competition Updates

Project End Time Current Lowest Threshold Reward Slots
NES July 8 21:00 259,957 2260
KGEN July 9 21:00 268,871 2200
NEX July 10 21:00 31 2000
SLX July 14 21:00 0 2060
O July 14 21:00 0 2090

NES and KGEN will end today/tomorrow. The threshold keeps rising. If you’re already on the train, watch the time. If you haven’t joined yet, decide whether to chase it yourself.

That’s all for today. If you have questions, chat in the comments—I'll respond when I see them. #ALPHA #ALPHA🔥
Verified
Today I want to raise a somewhat unappealing question: if TEE runs on a cloud server, what exactly does Newton’s “verifiability” verify? Many people see TEE, ZK, and AVS and feel reassured, believing this combination has already cleanly solved the trust problem. But the more I read the @NewtonProtocol whitepaper, the more I feel you can’t take shortcuts here. TEE can prove that a piece of code runs in an isolated environment; ZK can prove that a computation result wasn’t fabricated; and operator staking can make wrongdoing costly. They’re all important, but they don’t constitute the same kind of security. $BLUR The easiest thing to overlook is the hardware and the execution environment. For example, if a TEE relies on the cloud provider’s hardware attestation, then on the surface users are “verifying Newton,” but underneath they are indirectly trusting that cloud infrastructure hasn’t been compromised. If this boundary isn’t made clear, the so-called decentralization can easily turn into “moving trust to another room.” $RIF What I think is valuable about Newton, though, is that it doesn’t stake everything on a single layer of technology. In the short term, TEE improves usability; in the mid term, it relies on the operator network and BLS proofs of results; and in the long term, it moves toward stronger privacy computation directions like MPC and FHE. The roadmap is right, but the market shouldn’t treat the roadmap as a completed state. So when I look at $NEWT , I won’t only ask “is there a TEE?” I’d rather see three things: who issues the proofs, who is responsible when things fail, and whether the future can reduce reliance on a single cloud environment. On-chain security isn’t about filling the place with terminology—it’s about laying out every layer of trust so users can see it. #Newt #币安九周年
Today I want to raise a somewhat unappealing question: if TEE runs on a cloud server, what exactly does Newton’s “verifiability” verify?

Many people see TEE, ZK, and AVS and feel reassured, believing this combination has already cleanly solved the trust problem. But the more I read the @NewtonProtocol whitepaper, the more I feel you can’t take shortcuts here. TEE can prove that a piece of code runs in an isolated environment; ZK can prove that a computation result wasn’t fabricated; and operator staking can make wrongdoing costly. They’re all important, but they don’t constitute the same kind of security. $BLUR

The easiest thing to overlook is the hardware and the execution environment. For example, if a TEE relies on the cloud provider’s hardware attestation, then on the surface users are “verifying Newton,” but underneath they are indirectly trusting that cloud infrastructure hasn’t been compromised. If this boundary isn’t made clear, the so-called decentralization can easily turn into “moving trust to another room.” $RIF

What I think is valuable about Newton, though, is that it doesn’t stake everything on a single layer of technology. In the short term, TEE improves usability; in the mid term, it relies on the operator network and BLS proofs of results; and in the long term, it moves toward stronger privacy computation directions like MPC and FHE. The roadmap is right, but the market shouldn’t treat the roadmap as a completed state.

So when I look at $NEWT , I won’t only ask “is there a TEE?” I’d rather see three things: who issues the proofs, who is responsible when things fail, and whether the future can reduce reliance on a single cloud environment. On-chain security isn’t about filling the place with terminology—it’s about laying out every layer of trust so users can see it. #Newt
#币安九周年
Article
Policies will change—how should the code change with them? Newton’s hardest part isn’t just RegoToday I want to look at Newton from a very practical perspective: policies will change—how should the code change with them? When many people talk about <c-138/>, they tend to focus on technical terms like Rego, Policy Engine, BLS signatures, and operator networks. They’re certainly important, but if we move the scenario into the real financial world, the biggest problem is often not “whether we can write a rule,” but rather “after the rules change, how does the system know it should switch to the new rules.” It doesn’t sound very sexy, but it’s the trap you can’t avoid when it comes to long-term, practical adoption of on-chain compliance and automation. 1. Static code meets dynamic policy

Policies will change—how should the code change with them? Newton’s hardest part isn’t just Rego

Today I want to look at Newton from a very practical perspective: policies will change—how should the code change with them?
When many people talk about <c-138/>, they tend to focus on technical terms like Rego, Policy Engine, BLS signatures, and operator networks. They’re certainly important, but if we move the scenario into the real financial world, the biggest problem is often not “whether we can write a rule,” but rather “after the rules change, how does the system know it should switch to the new rules.”
It doesn’t sound very sexy, but it’s the trap you can’t avoid when it comes to long-term, practical adoption of on-chain compliance and automation.
1. Static code meets dynamic policy
·
--
Bullish
Partly True
There’s a not-so-obvious but (I think) very practical detail in Newton Mainnet Beta: credentials can include an expiration time, and when the issuer supports it, you can do incremental refreshes. $NEWT This sentence sounds like product documentation, but it becomes very easy to understand in the real world. If a passport expires, it doesn’t mean the person has disappeared; if a proof of income expires, it doesn’t mean you need to rebuild the entire identity from scratch. On-chain credentials work the same way. KYC results, accredited investor status, and regional status may all change—what truly needs updating is “whether the person still meets the requirements right now,” not forcing the user to resubmit all materials from the beginning every time. $BTC I care most about three states: when it expires, who performs the refresh, and how long it takes for it to take effect after revocation. If one of these is missing, what you call a “reusable identity” can easily turn into an old data pass. $ETH @NewtonProtocol The direction outlined in the whitepaper is that credentials can be reused across applications and across chains, carrying expiration metadata; if issuers support incremental updates, users don’t need to fully re-verify. During verification, what you should see on-chain is the proof and authorization outcome—not the entire identity dossier. This is closer to the real world than “permanently writing an identity on-chain.” People’s qualifications change, and so do the rules. A useful identity system shouldn’t pin a person to a single label—it should accurately answer: is this credential still valid at this moment? 🙂 Next, I’ll look at Newton Mainnet Beta. Not only whether it can be verified, but also whether expiration, refresh, and revocation are clear enough. They’re not flashy, but they determine whether institutions dare to use it long-term. #Newt #美国科技股期货上涨
There’s a not-so-obvious but (I think) very practical detail in Newton Mainnet Beta: credentials can include an expiration time, and when the issuer supports it, you can do incremental refreshes. $NEWT

This sentence sounds like product documentation, but it becomes very easy to understand in the real world. If a passport expires, it doesn’t mean the person has disappeared; if a proof of income expires, it doesn’t mean you need to rebuild the entire identity from scratch. On-chain credentials work the same way. KYC results, accredited investor status, and regional status may all change—what truly needs updating is “whether the person still meets the requirements right now,” not forcing the user to resubmit all materials from the beginning every time. $BTC

I care most about three states: when it expires, who performs the refresh, and how long it takes for it to take effect after revocation. If one of these is missing, what you call a “reusable identity” can easily turn into an old data pass. $ETH

@NewtonProtocol The direction outlined in the whitepaper is that credentials can be reused across applications and across chains, carrying expiration metadata; if issuers support incremental updates, users don’t need to fully re-verify. During verification, what you should see on-chain is the proof and authorization outcome—not the entire identity dossier.

This is closer to the real world than “permanently writing an identity on-chain.” People’s qualifications change, and so do the rules. A useful identity system shouldn’t pin a person to a single label—it should accurately answer: is this credential still valid at this moment? 🙂

Next, I’ll look at Newton Mainnet Beta. Not only whether it can be verified, but also whether expiration, refresh, and revocation are clear enough. They’re not flashy, but they determine whether institutions dare to use it long-term. #Newt
#美国科技股期货上涨
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