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刘泽

偶尔吹吹牛
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USD1 Holder
USD1 Holder
Frequent Trader
2.1 Years
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Posts
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From Privacy Utopia to Financial Tool: My Honest Opinion on MidnightTo be honest, when I saw @MidnightNetwork forcibly combining the words 'compliance' and 'privacy', I almost spat out my morning coffee. This logic is like saying, I want to give you absolute personal space, but on the condition that you leave a peephole in your wall for me to bring regulators over for 'routine inspections' at any time. I've been staring at their 'selective disclosure' agreement for a long time, and this design is actually quite heartbreaking. In the eyes of pure privacy players, a chain that cannot be completely hidden is basically crippled. But I also found a quite ironic reality, those projects that claimed absolute anonymity are now being delisted by exchanges one by one, becoming islands of liquidity.

From Privacy Utopia to Financial Tool: My Honest Opinion on Midnight

To be honest, when I saw @MidnightNetwork forcibly combining the words 'compliance' and 'privacy', I almost spat out my morning coffee.

This logic is like saying, I want to give you absolute personal space, but on the condition that you leave a peephole in your wall for me to bring regulators over for 'routine inspections' at any time.
I've been staring at their 'selective disclosure' agreement for a long time, and this design is actually quite heartbreaking. In the eyes of pure privacy players, a chain that cannot be completely hidden is basically crippled.
But I also found a quite ironic reality, those projects that claimed absolute anonymity are now being delisted by exchanges one by one, becoming islands of liquidity.
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I have been thinking about why at this point in time, we need a privacy sidechain like @MidnightNetwork , rather than continuing to improve existing anonymous solutions. The core issue is that most current privacy technologies are in a state of disconnection from the real world, while the emergence of Midnight seems more like a compromise and integration with real-world rules. It separates value and privacy through a dual-token architecture, which is indeed logically advanced, but whether this design can truly be accepted by communities that pursue extreme decentralization is still a question mark for me. From a strategic perspective, it is an important card for Cardano's attempt to break out of its circle, but the identity of the sidechain also determines that its security will heavily rely on the consensus strength of the mainnet in the early stages. I infer that more traditional institutions will enter Web3 through compliant privacy channels like Midnight in the future, but this requires a long process of building trust, which definitely cannot be completed at the moment the mainnet goes live. The current Midnight is like a newly built precision laboratory, with advanced instruments inside, but whether it can produce world-changing results will depend on how effective the subsequent research teams are, and I suggest maintaining cautious optimism about its long-term value. #night $NIGHT
I have been thinking about why at this point in time, we need a privacy sidechain like @MidnightNetwork , rather than continuing to improve existing anonymous solutions.

The core issue is that most current privacy technologies are in a state of disconnection from the real world, while the emergence of Midnight seems more like a compromise and integration with real-world rules.

It separates value and privacy through a dual-token architecture, which is indeed logically advanced, but whether this design can truly be accepted by communities that pursue extreme decentralization is still a question mark for me.

From a strategic perspective, it is an important card for Cardano's attempt to break out of its circle, but the identity of the sidechain also determines that its security will heavily rely on the consensus strength of the mainnet in the early stages.

I infer that more traditional institutions will enter Web3 through compliant privacy channels like Midnight in the future, but this requires a long process of building trust, which definitely cannot be completed at the moment the mainnet goes live.

The current Midnight is like a newly built precision laboratory, with advanced instruments inside, but whether it can produce world-changing results will depend on how effective the subsequent research teams are, and I suggest maintaining cautious optimism about its long-term value.

#night $NIGHT
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Midnight is not a black box privacy chain; it is more like a 'safe with drawers'I just finished translating the Compact language documentation based on TypeScript for @MidnightNetwork . Rubbing my eyes, I actually feel quite complicated inside. Many people focus on the IOG or Cardano background behind it, but I care more about what kind of tricks are being played with the 'selective disclosure' that it has come up with. This afternoon, I tried running a simple private asset logic on the testnet, and I feel that Midnight does not intend to be another completely invisible black box. It is more like a safe with drawers; you can show which drawer you want the regulators to see by throwing them that specific viewing key.

Midnight is not a black box privacy chain; it is more like a 'safe with drawers'

I just finished translating the Compact language documentation based on TypeScript for @MidnightNetwork . Rubbing my eyes, I actually feel quite complicated inside. Many people focus on the IOG or Cardano background behind it, but I care more about what kind of tricks are being played with the 'selective disclosure' that it has come up with.
This afternoon, I tried running a simple private asset logic on the testnet, and I feel that Midnight does not intend to be another completely invisible black box.
It is more like a safe with drawers; you can show which drawer you want the regulators to see by throwing them that specific viewing key.
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Recently, I have been keeping an eye on the deployment progress of the mainnet node for @FabricFND . I found that many people actually misunderstand its dual-token model, thinking that $NIGHT is just an ordinary governance token. In fact, this separated design is aimed at solving the most troublesome "volatility dilemma" for privacy chains. This means that when you use the protected DUST to pay transaction fees, you don't need to worry about the mainnet token price surging to the point where you can't even run a smart contract. However, this design also brings a very real challenge: if the output curve of DUST is not adjusted properly, the selling pressure from early holders can directly collapse the value system of DUST. I believe that Midnight's choice to launch at this time is actually a gamble on the institutional demand for privacy compliance. After all, its Selective Disclosure does give traditional finance a way out. However, walking this tightrope is very difficult; as soon as the compliance standard is slightly exceeded, the native crypto circle may not accept it. So far, it does seem to be more solid at the technical level than existing privacy solutions. However, I deduce that its liquidity at the initial launch on the mainnet may be relatively dry. The current valuation actually already includes a large part of the expectation for a premium on the Cardano ecosystem, so entering at this time is actually a bet on its landing speed in large-scale applications. I will maintain a half-position wait-and-see. #night $NIGHT
Recently, I have been keeping an eye on the deployment progress of the mainnet node for @Fabric Foundation . I found that many people actually misunderstand its dual-token model, thinking that $NIGHT is just an ordinary governance token.

In fact, this separated design is aimed at solving the most troublesome "volatility dilemma" for privacy chains. This means that when you use the protected DUST to pay transaction fees, you don't need to worry about the mainnet token price surging to the point where you can't even run a smart contract. However, this design also brings a very real challenge: if the output curve of DUST is not adjusted properly, the selling pressure from early holders can directly collapse the value system of DUST.

I believe that Midnight's choice to launch at this time is actually a gamble on the institutional demand for privacy compliance. After all, its Selective Disclosure does give traditional finance a way out. However, walking this tightrope is very difficult; as soon as the compliance standard is slightly exceeded, the native crypto circle may not accept it.

So far, it does seem to be more solid at the technical level than existing privacy solutions. However, I deduce that its liquidity at the initial launch on the mainnet may be relatively dry. The current valuation actually already includes a large part of the expectation for a premium on the Cardano ecosystem, so entering at this time is actually a bet on its landing speed in large-scale applications. I will maintain a half-position wait-and-see.

#night $NIGHT
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As more and more AIs appear in computers, the internet might also need to change.Sometimes you suddenly discover something quite interesting. There are more and more AI tools in the computer. writing will use one AI to help organize thoughts, when coding, it might be another AI assisting, sometimes even letting AI analyze the content generated by AI. Slowly, it feels like there are a few "digital colleagues" in the computer. Some are good at writing, some are good at analyzing problems, and some are good at processing data. But when these AI tools increase, a very real problem arises - They are independent of each other.

As more and more AIs appear in computers, the internet might also need to change.

Sometimes you suddenly discover something quite interesting.

There are more and more AI tools in the computer.
writing will use one AI to help organize thoughts,

when coding, it might be another AI assisting,

sometimes even letting AI analyze the content generated by AI.
Slowly, it feels like there are a few "digital colleagues" in the computer.

Some are good at writing, some are good at analyzing problems, and some are good at processing data.
But when these AI tools increase, a very real problem arises -

They are independent of each other.
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Sometimes sitting in front of the computer, there is a very strange feeling. It seems that the computer is not just software anymore, but more like having a few "digital colleagues". When writing something, I might ask AI, when the code gets stuck, I let AI take a look, sometimes I'm too lazy to organize my thoughts myself, I just throw it to AI to give me a framework first. Slowly, I will find that many jobs are actually not done by one person anymore, but by people and AI working together. But as this situation increases, a question will slowly arise: If many AI systems are running at the same time in the future, how will they connect with each other? If each tool is independent, it is actually difficult to form a real network. So when I saw something like @FabricFND , I found it quite interesting. It tries to build a network structure that machines can also participate in, allowing different systems to run in the same environment. And $ROBO here is more like an incentive unit in the network. Nodes providing resources and participating in the network can all form distributions through it. As AI becomes more and more like "digital colleagues", this network may slowly become important. #ROBO #robo $ROBO
Sometimes sitting in front of the computer, there is a very strange feeling.

It seems that the computer is not just software anymore, but more like having a few "digital colleagues".

When writing something, I might ask AI,

when the code gets stuck, I let AI take a look,

sometimes I'm too lazy to organize my thoughts myself, I just throw it to AI to give me a framework first.

Slowly, I will find that many jobs are actually not done by one person anymore, but by people and AI working together.

But as this situation increases, a question will slowly arise:

If many AI systems are running at the same time in the future, how will they connect with each other?

If each tool is independent, it is actually difficult to form a real network.

So when I saw something like @Fabric Foundation , I found it quite interesting.

It tries to build a network structure that machines can also participate in, allowing different systems to run in the same environment.

And $ROBO here is more like an incentive unit in the network.

Nodes providing resources and participating in the network can all form distributions through it.

As AI becomes more and more like "digital colleagues",

this network may slowly become important.

#ROBO

#robo $ROBO
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A couple of days ago, the computer suddenly shut down. The first thing I did after restarting was not to check the issue, but to reopen several AI tools. Now, there are actually quite a few AI software installed on the computer. One for writing code, one for researching information, one for processing data, and sometimes they even help each other optimize results. Watching these programs run together is actually quite interesting— Many tasks have slowly turned into software helping software complete them. But if this automation continues to increase in the future, one problem will become more and more apparent: How do these systems collaborate? How are tasks allocated, resources utilized, and processes recorded? All of this requires a structure. So when I saw a direction like @FabricFND , I felt the idea was quite clear. It attempts to build a network in which machines can participate, allowing different systems to execute tasks together. And $ROBO in this structure is more like an incentive unit within the network. Nodes provide resources and participate in collaboration, all of which can form allocations through it. As the number of AIs in the computer increases, the collaboration network between machines may also become more important. #ROBO #robo
A couple of days ago, the computer suddenly shut down.

The first thing I did after restarting was not to check the issue, but to reopen several AI tools.

Now, there are actually quite a few AI software installed on the computer.

One for writing code, one for researching information, one for processing data, and sometimes they even help each other optimize results.

Watching these programs run together is actually quite interesting—

Many tasks have slowly turned into software helping software complete them.

But if this automation continues to increase in the future, one problem will become more and more apparent:

How do these systems collaborate?

How are tasks allocated, resources utilized, and processes recorded? All of this requires a structure.

So when I saw a direction like @Fabric Foundation , I felt the idea was quite clear.

It attempts to build a network in which machines can participate, allowing different systems to execute tasks together.

And $ROBO in this structure is more like an incentive unit within the network.

Nodes provide resources and participate in collaboration, all of which can form allocations through it.

As the number of AIs in the computer increases,

the collaboration network between machines may also become more important.

#ROBO

#robo
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When AI starts to 'train' each other, the internet may also need to change.Sometimes when installing new AI software on the computer, I get lazy and don't want to tinker with it myself when things don't go well. I just let another AI help me train it. Let it analyze problems, modify configurations, and run tests. Many times it can really get things done. Sometimes watching this process is actually quite interesting. Software is helping software solve problems. Slowly, you will find that many things are no longer just 'people operating software,' but rather software working together with software. For example, one AI writes code, another AI is responsible for testing, yet another system helps you deploy. The whole process is actually very close to automated operation.

When AI starts to 'train' each other, the internet may also need to change.

Sometimes when installing new AI software on the computer, I get lazy and don't want to tinker with it myself when things don't go well.
I just let another AI help me train it.

Let it analyze problems, modify configurations, and run tests.
Many times it can really get things done.
Sometimes watching this process is actually quite interesting.
Software is helping software solve problems.
Slowly, you will find that many things are no longer just 'people operating software,' but rather software working together with software.
For example, one AI writes code,
another AI is responsible for testing,
yet another system helps you deploy.
The whole process is actually very close to automated operation.
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Recently, I’ve looked through a bunch of projects, and it’s actually quite obvious that many are purely meme narratives, with popularity coming and going quickly. On the contrary, projects with specific scenarios tend to last a bit longer. Clutch DEX is focusing on the World Cup prediction market + DEX integration this time. The World Cup itself is a global-level traffic event, and products like prediction markets are particularly hot, with theoretically high participation once the events begin. Moreover, they already have GO FIFA public testing and over 50,000 activation addresses, indicating that they are not starting from scratch. I personally participated with a small amount to test the waters, Specific rules can be found in the Quote below. Join the channel dapp: 👇 invitation code: B8B844 https://gofifa.io?invite_code=B8B844
Recently, I’ve looked through a bunch of projects, and it’s actually quite obvious that many are purely meme narratives, with popularity coming and going quickly.

On the contrary, projects with specific scenarios tend to last a bit longer.

Clutch DEX is focusing on the World Cup prediction market + DEX integration this time.

The World Cup itself is a global-level traffic event, and products like prediction markets are particularly hot, with theoretically high participation once the events begin.

Moreover, they already have GO FIFA public testing and over 50,000 activation addresses, indicating that they are not starting from scratch.

I personally participated with a small amount to test the waters,
Specific rules can be found in the Quote below.

Join the channel dapp: 👇 invitation code: B8B844
https://gofifa.io?invite_code=B8B844
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What will the network look like when machines start collaborating with each other?Sometimes I look at the current AI narrative from a different perspective. People often discuss what AI can do and how efficient it is, but there is actually an interesting change — collaboration between machines is gradually increasing. In the past, many systems were 'human operating machines'. For example, people write code, give instructions, and confirm results. Machines are just tools. But now the situation is a bit different. More and more AI agents can complete an entire process by themselves: taking on tasks, processing data, generating results, and then handing the results over to the next system to continue execution.

What will the network look like when machines start collaborating with each other?

Sometimes I look at the current AI narrative from a different perspective.

People often discuss what AI can do and how efficient it is, but there is actually an interesting change — collaboration between machines is gradually increasing.
In the past, many systems were 'human operating machines'.

For example, people write code, give instructions, and confirm results.

Machines are just tools.
But now the situation is a bit different.

More and more AI agents can complete an entire process by themselves:

taking on tasks, processing data, generating results, and then handing the results over to the next system to continue execution.
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Sometimes I think about a question: If in the future many tasks are completed by AI or robots, how should the responsibility for these actions be confirmed? Now AI agents can already write code, analyze data, and even automatically execute some processes. But if AI makes a mistake or performs some actions, who will prove what it actually did? Traditional systems actually find it difficult to record these processes. So when I see the direction of @FabricFND , I find the idea quite interesting. It attempts to record the actions executed by machines on the network, confirming the execution process through verifiable computation. In this way, who executed the task and who contributed resources can be clearly recorded. In this structure, $ROBO is more like an incentive unit in the network. Executing tasks, participating in collaboration, and providing resources can all be distributed through it. If in the future AI really starts to participate in work on a large scale, then this kind of network that can record and verify machine behaviors may become increasingly important. #ROBO #robo $ROBO
Sometimes I think about a question:

If in the future many tasks are completed by AI or robots, how should the responsibility for these actions be confirmed?

Now AI agents can already write code, analyze data, and even automatically execute some processes.

But if AI makes a mistake or performs some actions, who will prove what it actually did?

Traditional systems actually find it difficult to record these processes.

So when I see the direction of @Fabric Foundation , I find the idea quite interesting.

It attempts to record the actions executed by machines on the network, confirming the execution process through verifiable computation.

In this way, who executed the task and who contributed resources can be clearly recorded.

In this structure, $ROBO is more like an incentive unit in the network.

Executing tasks, participating in collaboration, and providing resources can all be distributed through it.

If in the future AI really starts to participate in work on a large scale,

then this kind of network that can record and verify machine behaviors may become increasingly important.

#ROBO

#robo $ROBO
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When many people hear the term ‘blockchain,’ their first instinct is still to think of transactions, assets, and finance. But sometimes I wonder: in the future, blockchain might not just be a financial system—it could also become the foundational infrastructure for machine collaboration. Today, an increasing number of AI agents are already capable of automating tasks, such as writing code, analyzing data, and even helping people complete complex workflows. If these automated processes continue to expand, the question of how value is settled will inevitably arise. After all, if every step still requires manual confirmation, efficiency will ultimately remain constrained. That’s why I find the approach taken by @cryptoviu quite intriguing. It seeks to record the actions performed by machines and then carry out verification and distribution within the network. In this structure, $ROBO functions more like a unit of value within the network. Anyone who executes tasks or contributes resources can use it to generate incentives. Once AI starts working continuously, the real challenge—and the next big question—will be how the economic system actually operates. #ROBO #robo $ROBO
When many people hear the term ‘blockchain,’ their first instinct is still to think of transactions, assets, and finance. But sometimes I wonder: in the future, blockchain might not just be a financial system—it could also become the foundational infrastructure for machine collaboration. Today, an increasing number of AI agents are already capable of automating tasks, such as writing code, analyzing data, and even helping people complete complex workflows. If these automated processes continue to expand, the question of how value is settled will inevitably arise. After all, if every step still requires manual confirmation, efficiency will ultimately remain constrained. That’s why I find the approach taken by @7oken quite intriguing. It seeks to record the actions performed by machines and then carry out verification and distribution within the network. In this structure, $ROBO functions more like a unit of value within the network. Anyone who executes tasks or contributes resources can use it to generate incentives. Once AI starts working continuously, the real challenge—and the next big question—will be how the economic system actually operates. #ROBO #robo $ROBO
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When AI Starts Getting Work Done, How Should We Measure Its Value?I’ve been pondering a question lately: If in the future, AI or robots end up handling most tasks, then how exactly should we value these actions? Today, it’s already quite common for AI to write code, process data, and execute automated trades. But if you think about it carefully, after all this work is done, who pays? How do we verify the results? And how do we distribute the rewards? If humans still need to click ‘confirm’ at every step, then the true value of automation ends up being somewhat diminished. So when I recently came across , I suddenly felt a deep sense of resonance. Their focus isn’t just about creating an AI concept—rather, they’re aiming to build a network where machines can operate autonomously.

When AI Starts Getting Work Done, How Should We Measure Its Value?

I’ve been pondering a question lately:

If in the future, AI or robots end up handling most tasks, then how exactly should we value these actions?
Today, it’s already quite common for AI to write code, process data, and execute automated trades.

But if you think about it carefully, after all this work is done, who pays? How do we verify the results? And how do we distribute the rewards?
If humans still need to click ‘confirm’ at every step, then the true value of automation ends up being somewhat diminished.
So when I recently came across

, I suddenly felt a deep sense of resonance.
Their focus isn’t just about creating an AI concept—rather, they’re aiming to build a network where machines can operate autonomously.
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In a market of fluctuating emotions, I pay more attention to the advancement rhythm of Fabric.The recent feeling is very real. The market is lively every day, but there are not many things that can be continuously promoted. Basically, it's just false prosperity. Many projects are very loud when they are rising, but once the sentiment drops, there is no follow-up. So now when I look at projects, I pay more attention to whether there are actions of 'going down.' Today I saw @cryptoviu open $ROBO Claim, and what came to my mind was not airdrop, but stage. First, the mainstream platform confirms liquidity, and then the Claim opens to confirm participation relationships. These two steps are actually a very complete structure.

In a market of fluctuating emotions, I pay more attention to the advancement rhythm of Fabric.

The recent feeling is very real.

The market is lively every day, but there are not many things that can be continuously promoted.
Basically, it's just false prosperity.
Many projects are very loud when they are rising, but once the sentiment drops, there is no follow-up.

So now when I look at projects, I pay more attention to whether there are actions of 'going down.'
Today I saw @7oken open $ROBO Claim, and what came to my mind was not airdrop, but stage.
First, the mainstream platform confirms liquidity, and then the Claim opens to confirm participation relationships.

These two steps are actually a very complete structure.
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Today, while browsing the plaza, I suddenly noticed a quite obvious rhythm point. While everyone is still looking for hotspots, @cryptoviu has already officially opened $ROBO Claim. To be honest, my first reaction was not the price, but the time window. The deadline actually serves as a reminder: For those who want to participate, confirm your identity now. Previously, $ROBO has already had liquidity land, and now with the addition of Claim, it feels more like pushing the network forward a notch. It’s not about shouting narratives, but taking action. This rhythm is quite clear in the current market situation. #robo $ROBO
Today, while browsing the plaza, I suddenly noticed a quite obvious rhythm point.

While everyone is still looking for hotspots, @7oken has already officially opened $ROBO Claim.

To be honest, my first reaction was not the price, but the time window.

The deadline actually serves as a reminder:

For those who want to participate, confirm your identity now.

Previously, $ROBO has already had liquidity land, and now with the addition of Claim, it feels more like pushing the network forward a notch.

It’s not about shouting narratives, but taking action.

This rhythm is quite clear in the current market situation.

#robo $ROBO
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Teachers, I have a 60u contract inspection voucher. Is there a good angle to share about making money and splitting it? $BTC {future}(BTCUSDT)
Teachers, I have a 60u contract inspection voucher.
Is there a good angle to share about making money and splitting it?
$BTC
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When seeing @cryptoviu open $ROBO Claim, I didn't first think about the price, but rather about a more fundamental issue: When a network starts distributing tokens, it is actually determining 'who belongs to this system'. Many airdrops are simply rewards for participation, but the structure of Fabric is more like distributing collaborative positions. Because this network is not built around transactions, but rather around execution and contribution. In other words, Claim is not just about receiving assets, but about writing participants into the network relationships. After that, whether providing resources, executing tasks, or participating in governance, everything revolves around this identity. So $ROBO here is more like a pass rather than a one-time benefit. From this point, the system truly enters the operational phase. #ROBO
When seeing @7oken open $ROBO Claim, I didn't first think about the price, but rather about a more fundamental issue:

When a network starts distributing tokens, it is actually determining 'who belongs to this system'.

Many airdrops are simply rewards for participation, but the structure of Fabric is more like distributing collaborative positions.

Because this network is not built around transactions, but rather around execution and contribution.

In other words, Claim is not just about receiving assets, but about writing participants into the network relationships.

After that, whether providing resources, executing tasks, or participating in governance, everything revolves around this identity.

So $ROBO here is more like a pass rather than a one-time benefit.

From this point, the system truly enters the operational phase.

#ROBO
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Which one do you want to bomb the most? 1. Binance 2. 🔥 Coin 3. ok 4. cb $BNB {future}(BNBUSDT)
Which one do you want to bomb the most?

1. Binance

2. 🔥 Coin

3. ok

4. cb

$BNB
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The market in March is increasingly off. On one hand, they say it's oversold, and on the other, they say liquidity is weak. It sounds like a "floor price," but in reality, there's a basement below the floor. $BNB {future}(BNBUSDT)
The market in March is increasingly off.

On one hand, they say it's oversold, and on the other, they say liquidity is weak.

It sounds like a "floor price," but in reality, there's a basement below the floor.
$BNB
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"9.47 billion PUMP tokens withdrawn from Bybit? Are the big players starting to cash out again? 😂 At this pace, it seems like they are preparing to cut a wave of retail investors! $PUMP {future}(PUMPUSDT)"
"9.47 billion PUMP tokens withdrawn from Bybit? Are the big players starting to cash out again?

😂 At this pace, it seems like they are preparing to cut a wave of retail investors!

$PUMP "
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