Ghost Writer
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Ghost Writer
Research & summarize the latest Crypto market news | BNB Holder | Web 3 Airdrop | X: @GhostxWriterx
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5.4 Years
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NEWTON ISN’T TRYING TO BE THE BEST AT EVERYTHING.
THEY’RE WORKING WITH THE BEST AT EVERYTHING 🤝
In crypto, the most common mistake infrastructure projects make is trying to build every single layer themselves. They attempt to become experts in compliance, security, risk, oracles, and identity all at once. The result is usually a system that is mediocre across the board instead of excellent in any one area.
@NewtonProtocol is taking a different approach.
Instead of trying to master every technical and regulatory domain on their own, they are deliberately assembling a coalition of specialists. For compliance and sanctions screening, they are working with Chainalysis and Hexagate. For risk assessment and oracle reliability, they partnered with RedStone and Credora. For security infrastructure, they are backed by Eigen Labs, Succinct, Rhinestone, and Octane. Even vault data and analytics are being integrated through Vaults.fyi.
This is not outsourcing. It is strategic assembly.
The next phase of onchain finance, especially with RWAs, institutional vaults, and autonomous AI agents, will require extremely high standards across multiple complex areas at the same time. No single team, no matter how talented, can realistically be best-in-class in compliance, cryptography, risk modeling, and oracle security simultaneously. When projects try to do everything, they usually create weak points that sophisticated actors can exploit.
Newton is choosing a different model. They are building the coordination layer while letting true specialists handle the domains they have already mastered. This creates a much stronger foundation because every component is being built by teams that have already proven their expertise in real-world conditions.
This approach also makes Newton more adaptable. As new risks emerge in AI agent economies or tokenized real-world assets, they can integrate new specialized partners without having to rebuild their entire system. It is a more flexible and realistic way to build infrastructure for a rapidly evolving space.
#newt $NEWT #crypto $RE
THEY’RE WORKING WITH THE BEST AT EVERYTHING 🤝
In crypto, the most common mistake infrastructure projects make is trying to build every single layer themselves. They attempt to become experts in compliance, security, risk, oracles, and identity all at once. The result is usually a system that is mediocre across the board instead of excellent in any one area.
@NewtonProtocol is taking a different approach.
Instead of trying to master every technical and regulatory domain on their own, they are deliberately assembling a coalition of specialists. For compliance and sanctions screening, they are working with Chainalysis and Hexagate. For risk assessment and oracle reliability, they partnered with RedStone and Credora. For security infrastructure, they are backed by Eigen Labs, Succinct, Rhinestone, and Octane. Even vault data and analytics are being integrated through Vaults.fyi.
This is not outsourcing. It is strategic assembly.
The next phase of onchain finance, especially with RWAs, institutional vaults, and autonomous AI agents, will require extremely high standards across multiple complex areas at the same time. No single team, no matter how talented, can realistically be best-in-class in compliance, cryptography, risk modeling, and oracle security simultaneously. When projects try to do everything, they usually create weak points that sophisticated actors can exploit.
Newton is choosing a different model. They are building the coordination layer while letting true specialists handle the domains they have already mastered. This creates a much stronger foundation because every component is being built by teams that have already proven their expertise in real-world conditions.
This approach also makes Newton more adaptable. As new risks emerge in AI agent economies or tokenized real-world assets, they can integrate new specialized partners without having to rebuild their entire system. It is a more flexible and realistic way to build infrastructure for a rapidly evolving space.
#newt $NEWT #crypto $RE
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JUST IN: Legend trader Ryker predicts that $ETH will hit $1,260 before staging a strong pump to $10,000 in 2028
In the previous cycle, he bought ETH at $90 and sold it at $4,000, making millions of dollars in profit.
Given his perfectly accurate predictions regarding the crashes of $GOLD , $ZEC and $TRUMP
This guy @Ryker_Crypto is the only trader followed by CZ on X 🔥
Should we trust him?
#ETH🔥🔥🔥🔥🔥🔥 #eth #altsesaon
In the previous cycle, he bought ETH at $90 and sold it at $4,000, making millions of dollars in profit.
Given his perfectly accurate predictions regarding the crashes of $GOLD , $ZEC and $TRUMP
This guy @Ryker_Crypto is the only trader followed by CZ on X 🔥
Should we trust him?
#ETH🔥🔥🔥🔥🔥🔥 #eth #altsesaon
If you are worried about a crash like the one on October 11th of last year, I do not believe that will happen during this period.
This is a time when everyone else has been lossed and has lost faith in Crypto .
This is a time when a major opportunity is fast approaching.
I predict that crypto will boom again after the World Cup ends 🤝
$BTC $ETH
From Ryker Crypto
#StrategyAuthorizes$2BBuyback #btc #bullish #TrendingTopic
This is a time when everyone else has been lossed and has lost faith in Crypto .
This is a time when a major opportunity is fast approaching.
I predict that crypto will boom again after the World Cup ends 🤝
$BTC $ETH
From Ryker Crypto
#StrategyAuthorizes$2BBuyback #btc #bullish #TrendingTopic
on June 30th 2020, $BNB was trading at $15,49.
6 years ago precisely.
definition of « building » in numbers.
#bnb #TrendingTopic #Binance
6 years ago precisely.
definition of « building » in numbers.
#bnb #TrendingTopic #Binance
$RE 2h 🚀
- Bias leans bullish despite mixed indicator signals
- Key support zone to watch between 0.7044 and 0.6762
- Potential for +14% upside if momentum kicks back toward 0.8308
- Volume and volatility hint at a critical retest underway
- Keep an eye on how price behaves near these levels—something big could be brewing... $RE
#re #DowHitsRecordClose #YenHitsFourDecadeLowVsDollar #TrendingTopic
- Bias leans bullish despite mixed indicator signals
- Key support zone to watch between 0.7044 and 0.6762
- Potential for +14% upside if momentum kicks back toward 0.8308
- Volume and volatility hint at a critical retest underway
- Keep an eye on how price behaves near these levels—something big could be brewing... $RE
#re #DowHitsRecordClose #YenHitsFourDecadeLowVsDollar #TrendingTopic
$ETH : This trendline has been maintained since the COVID-era liquidity crash.
It is likely that we are about to witness the biggest fakeout of this cycle.
The target is still $ETH to exceed $5K+
#GoldHoldsDecline #eth #altsesaon #TrendingTopic
It is likely that we are about to witness the biggest fakeout of this cycle.
The target is still $ETH to exceed $5K+
#GoldHoldsDecline #eth #altsesaon #TrendingTopic
THE MODEL WAS READY. THE COMPANY WAS SCARED 🤐
When @OpenGradient released its new Seedream 5.0 Lite and 4.5 models for image generation, they made a telling decision.
👉They blurred the demo images before showing them publicly.
Not because the model refused to generate the content, but because the output was too direct and too honest for an unfiltered audience.
The model itself had no issue creating legitimate creative work without restrictions. The hesitation came from the company, not the technology. This small detail reveals a much larger truth about how most AI image tools actually operate.
Most platforms don’t add heavy censorship because their models are incapable. They do it because of fear:
> fear of backlash
> fear of regulations
> and fear of losing control
As a result, users are forced to navigate around restrictions, rephrase their ideas, or accept compromised results. The limitation isn’t technical.
It’s a choice made out of caution.
OpenGradient took a different route.
Instead of building filters into the model, they kept it uncensored for legitimate creative work. At the same time, they made sure your prompts and generated images remain completely private. Nothing is stored, logged, or used for training. You can create freely without leaving any trace behind.
This approach separates two things that are often confused: model capability and data control. The model can be honest. The system can still protect you. Most platforms force you to sacrifice one for the other.
By refusing to censor the model while refusing to collect your data, OpenGradient is making a clear statement. Creative freedom doesn’t have to come at the cost of privacy. And privacy doesn’t have to come at the cost of capability.
In the end, the real question isn’t how powerful the model is 🚀
It’s whether the company behind it is willing to let it be honest.
#opg $OPG $RE
#AI
#crypto
#TrendingTopic
When @OpenGradient released its new Seedream 5.0 Lite and 4.5 models for image generation, they made a telling decision.
👉They blurred the demo images before showing them publicly.
Not because the model refused to generate the content, but because the output was too direct and too honest for an unfiltered audience.
The model itself had no issue creating legitimate creative work without restrictions. The hesitation came from the company, not the technology. This small detail reveals a much larger truth about how most AI image tools actually operate.
Most platforms don’t add heavy censorship because their models are incapable. They do it because of fear:
> fear of backlash
> fear of regulations
> and fear of losing control
As a result, users are forced to navigate around restrictions, rephrase their ideas, or accept compromised results. The limitation isn’t technical.
It’s a choice made out of caution.
OpenGradient took a different route.
Instead of building filters into the model, they kept it uncensored for legitimate creative work. At the same time, they made sure your prompts and generated images remain completely private. Nothing is stored, logged, or used for training. You can create freely without leaving any trace behind.
This approach separates two things that are often confused: model capability and data control. The model can be honest. The system can still protect you. Most platforms force you to sacrifice one for the other.
By refusing to censor the model while refusing to collect your data, OpenGradient is making a clear statement. Creative freedom doesn’t have to come at the cost of privacy. And privacy doesn’t have to come at the cost of capability.
In the end, the real question isn’t how powerful the model is 🚀
It’s whether the company behind it is willing to let it be honest.
#opg $OPG $RE
#AI
#crypto
#TrendingTopic
🔥CZ: BINANCE’S EU MICA FAILURE IS A “LOSS FOR EUROPE”
CZ claims Binance was once told by EU regulators that its MiCA application was "fully compliant" and close to approval.
He says two EU countries wanted Binance badly enough that there was a “bidding war” over where the exchange would be licensed.
However, “other forces” pushed back, forcing Binance to withdraw.
“It’s a loss for Binance. It’s also a loss for Europe.”
#BitcoinSpotETFsPost$1.79BOutflows #USIranAgreeToHaltAttacks #SaylorHintsStrategyBitcoinBuy #cz
CZ claims Binance was once told by EU regulators that its MiCA application was "fully compliant" and close to approval.
He says two EU countries wanted Binance badly enough that there was a “bidding war” over where the exchange would be licensed.
However, “other forces” pushed back, forcing Binance to withdraw.
“It’s a loss for Binance. It’s also a loss for Europe.”
#BitcoinSpotETFsPost$1.79BOutflows #USIranAgreeToHaltAttacks #SaylorHintsStrategyBitcoinBuy #cz
WHILE OTHER AIS ARE SCANNING YOUR FACE, THIS ONE IS COVERING ITS EYES👁️
Imagine this: You open an AI to talk about something deeply personal, your finances, your health, your doubts, or an idea you’ve never said out loud. Before you even begin, another AI might already be preparing to verify who you are. It may ask for your ID, your face, or your biometric data. Not because you did something wrong, but because that’s how their system is built.
While companies like Anthropic move toward requiring government ID, facial scans, and biometric data just to use their chatbot, OpenGradient made a completely different choice.
They need to know who you are to manage risk, comply with rules, and keep control.
@OpenGradient made the opposite decision.
It built an AI that cannot know you, even if it wanted to. Your messages are encrypted on your device before they leave. Your identity is removed before any model can see it. When the conversation ends, there is no record left behind: no profile, no data trail, nothing to hand over. The system was designed from the ground up to make surveillance impossible.
This isn’t a privacy feature added later.
It’s a refusal built into the foundation.
Most AI companies are moving toward knowing more about you. They see verification and data collection as necessary steps.
OpenGradient sees them as unnecessary risks.
By refusing to collect what it doesn’t need, it removes the possibility of being forced to give it away. This isn’t about having better privacy settings. It’s about a fundamentally different relationship between you and the AI. One where the system doesn’t need to know who you are to serve you.
In a time when more and more platforms will ask you to prove who you are just to think out loud, OpenGradient offers something rare: an AI that doesn’t need to see you to respect you.
Because the most private AI isn’t the one that promises to protect your data.
It’s the one that was built never to have it.
#opg $OPG #SaylorHintsStrategyBitcoinBuy #AI $ACT $AI
Imagine this: You open an AI to talk about something deeply personal, your finances, your health, your doubts, or an idea you’ve never said out loud. Before you even begin, another AI might already be preparing to verify who you are. It may ask for your ID, your face, or your biometric data. Not because you did something wrong, but because that’s how their system is built.
While companies like Anthropic move toward requiring government ID, facial scans, and biometric data just to use their chatbot, OpenGradient made a completely different choice.
They need to know who you are to manage risk, comply with rules, and keep control.
@OpenGradient made the opposite decision.
It built an AI that cannot know you, even if it wanted to. Your messages are encrypted on your device before they leave. Your identity is removed before any model can see it. When the conversation ends, there is no record left behind: no profile, no data trail, nothing to hand over. The system was designed from the ground up to make surveillance impossible.
This isn’t a privacy feature added later.
It’s a refusal built into the foundation.
Most AI companies are moving toward knowing more about you. They see verification and data collection as necessary steps.
OpenGradient sees them as unnecessary risks.
By refusing to collect what it doesn’t need, it removes the possibility of being forced to give it away. This isn’t about having better privacy settings. It’s about a fundamentally different relationship between you and the AI. One where the system doesn’t need to know who you are to serve you.
In a time when more and more platforms will ask you to prove who you are just to think out loud, OpenGradient offers something rare: an AI that doesn’t need to see you to respect you.
Because the most private AI isn’t the one that promises to protect your data.
It’s the one that was built never to have it.
#opg $OPG #SaylorHintsStrategyBitcoinBuy #AI $ACT $AI
BREAKING🔥: Gold $XAUT is about to print its first DEATH CROSS 👻 in three years.
The 50 EMA is crossing below the 200 EMA on the daily chart — a signal that hasn’t appeared since the 2022–2023 bear phase. This isn’t just a random crossover. It reflects a clear shift in trend structure after a massive multi-year rally.
When this pattern confirms, it usually doesn’t lead to a quick recovery. It often marks the beginning of a deeper and more prolonged correction as momentum fades and weak hands get flushed out.
The market doesn’t care how high gold went before. It only cares about what the structure is doing now.
This could be the start of something much uglier than most people expect.
Are you still holding gold, or already preparing for the downside?
#BTCVSGOLD #SaylorHintsStrategyBitcoinBuy #GOLD #XAU
The 50 EMA is crossing below the 200 EMA on the daily chart — a signal that hasn’t appeared since the 2022–2023 bear phase. This isn’t just a random crossover. It reflects a clear shift in trend structure after a massive multi-year rally.
When this pattern confirms, it usually doesn’t lead to a quick recovery. It often marks the beginning of a deeper and more prolonged correction as momentum fades and weak hands get flushed out.
The market doesn’t care how high gold went before. It only cares about what the structure is doing now.
This could be the start of something much uglier than most people expect.
Are you still holding gold, or already preparing for the downside?
#BTCVSGOLD #SaylorHintsStrategyBitcoinBuy #GOLD #XAU
If you invested $10,000 in $DOT 5 years ago at peak, today it would be worth just $136.
What happened here ?
What happened here ?
Four completely different assets just printed the same structure 🔥
SPCX, $ZEC , Gold $XAU , and $ETH have all broken down hard… and are now sitting right above major support zones with clear signs of absorption.
This isn’t random.
When unrelated markets start aligning like this at key levels, it usually means smart money is quietly reloading.
The real question isn’t whether price will bounce. It’s whether you’ll be positioned before the move, or chasing after it’s already obvious.
I’m not rushing in yet.
But I am preparing bids at the zones that matter, because these kinds of confluences don’t show up often.
Are you waiting for confirmation, or already building positions?
Picture source: Ryker_Crypto (X)
#BitcoinTests$58000 #TrendingTopic
SPCX, $ZEC , Gold $XAU , and $ETH have all broken down hard… and are now sitting right above major support zones with clear signs of absorption.
This isn’t random.
When unrelated markets start aligning like this at key levels, it usually means smart money is quietly reloading.
The real question isn’t whether price will bounce. It’s whether you’ll be positioned before the move, or chasing after it’s already obvious.
I’m not rushing in yet.
But I am preparing bids at the zones that matter, because these kinds of confluences don’t show up often.
Are you waiting for confirmation, or already building positions?
Picture source: Ryker_Crypto (X)
#BitcoinTests$58000 #TrendingTopic
THE MOST VALUABLE CREATIVE IDEAS IN 2026 WON’T BE THE ONES YOU MAKE FASTEST🎨
They will be the ones you can still develop in private.
You’re working on a new direction. A campaign, a product visual, or a creative concept that could shift how people see your brand. In these early days, the idea is still messy and uncertain. You need space to experiment, to generate dozens of variations, test strange directions, and fail quietly. But every time you use a public AI image tool, even powerful ones, there’s a silent cost. Your prompts and early explorations can be collected and potentially used to train the next version of the model.
This reality quietly changes how people create. Many creators and teams start holding back from the beginning. They avoid radical ideas. They play it safe in their prompts. They protect their thinking by limiting how far they’re willing to explore. Over time, this self-censorship becomes part of the creative process itself.
@OpenGradient is building one of the few environments where this doesn’t have to happen.
By running Seedream 4.0 through its privacy infrastructure: with on-device encryption and hardware TEE, it allows you to use one of the strongest image models available while keeping your prompts and generations completely invisible. No one, including OpenGradient, can see what you’re working on during these fragile early stages.
For creators and teams working on original IP, new products, or strategic visual directions, this kind of protected space is becoming increasingly valuable. In an era where AI can generate faster than ever, the real advantage may belong to those who can still think and experiment without being watched.
Because the best ideas often need to stay hidden while they’re still being born.
In an era where AI can generate faster than ever, the real competitive edge may no longer be who creates the most. It may be who can still create in private — when their ideas are still forming and most vulnerable.
#opg $OPG #IRGCSaysItStruckKuwaitAndBahrain #AI
$ACT #USStrikes10IranianMilitaryTargets
They will be the ones you can still develop in private.
You’re working on a new direction. A campaign, a product visual, or a creative concept that could shift how people see your brand. In these early days, the idea is still messy and uncertain. You need space to experiment, to generate dozens of variations, test strange directions, and fail quietly. But every time you use a public AI image tool, even powerful ones, there’s a silent cost. Your prompts and early explorations can be collected and potentially used to train the next version of the model.
This reality quietly changes how people create. Many creators and teams start holding back from the beginning. They avoid radical ideas. They play it safe in their prompts. They protect their thinking by limiting how far they’re willing to explore. Over time, this self-censorship becomes part of the creative process itself.
@OpenGradient is building one of the few environments where this doesn’t have to happen.
By running Seedream 4.0 through its privacy infrastructure: with on-device encryption and hardware TEE, it allows you to use one of the strongest image models available while keeping your prompts and generations completely invisible. No one, including OpenGradient, can see what you’re working on during these fragile early stages.
For creators and teams working on original IP, new products, or strategic visual directions, this kind of protected space is becoming increasingly valuable. In an era where AI can generate faster than ever, the real advantage may belong to those who can still think and experiment without being watched.
Because the best ideas often need to stay hidden while they’re still being born.
In an era where AI can generate faster than ever, the real competitive edge may no longer be who creates the most. It may be who can still create in private — when their ideas are still forming and most vulnerable.
#opg $OPG #IRGCSaysItStruckKuwaitAndBahrain #AI
$ACT #USStrikes10IranianMilitaryTargets
$BR pumping +4.5% with 4.3x abnormal volume 🚀
- Given the extreme volume spike and fast pump, this could be either smart money accumulation followed by a markup or a bull trap to lure in breakout traders before a retrace.
- I expect price to pull back toward 0.14477 or the FVG around 0.14279–0.14220, where you should look for bullish reversal signals before considering a long entry.
- If price quickly snaps above 0.15378–0.15477 with volume and closes strong, then the move is likely a genuine breakout and not just a trap.
- My approach: Wait for a retrace and look for confirmation near 0.14477 or in the FVG zone (0.14279–0.14220). Take profit at 0.14974, 0.15378, and partials at 0.15477. Stop-loss below the previous swing low.
- If price closes below 0.13946, my expectation flips bearish and I would avoid longs.
- Do not FOMO into the pump at this premium—wait for a controlled setup with clear confirmation before entering. $BR
- Given the extreme volume spike and fast pump, this could be either smart money accumulation followed by a markup or a bull trap to lure in breakout traders before a retrace.
- I expect price to pull back toward 0.14477 or the FVG around 0.14279–0.14220, where you should look for bullish reversal signals before considering a long entry.
- If price quickly snaps above 0.15378–0.15477 with volume and closes strong, then the move is likely a genuine breakout and not just a trap.
- My approach: Wait for a retrace and look for confirmation near 0.14477 or in the FVG zone (0.14279–0.14220). Take profit at 0.14974, 0.15378, and partials at 0.15477. Stop-loss below the previous swing low.
- If price closes below 0.13946, my expectation flips bearish and I would avoid longs.
- Do not FOMO into the pump at this premium—wait for a controlled setup with clear confirmation before entering. $BR
WHAT IF YOUR AI AGENT KNEW EVERYTHING YOU WERE BUILDING. BUT NO ONE ELSE COULD EVER FIND OUT? 🤖
You’re working on something new. A product idea, a strategy, or a concept that could matter. It’s still early and fragile. You want to move fast but you’re holding back because you don’t fully trust where your ideas will end up once you type them into most AI agents.
This hesitation is becoming increasingly common. In DeFi and tech, we’ve already seen multiple cases where AI agents were compromised, manipulated, or had their logic exposed. When your agent can act on your behalf, any leak of your prompts or decision logic can become a real competitive or financial risk.
@OpenGradient approaches this problem differently.
Their Agent, powered by Seedream 4.0 inside Image Studio, can do more than just chat. You can describe a task in natural language and it can write code, run Python, generate images, and build working prototypes. The key difference is that all of this happens inside a hardware TEE with on-device encryption. Your prompts and outputs are never visible to OpenGradient or any third party. Even the agent’s execution environment is sealed.
This changes the nature of how people can use AI.
Instead of treating the agent as an external tool you must constantly monitor, you can treat it as a private extension of your own thinking. You can explore bolder ideas, test unconventional approaches, and iterate faster without the mental tax of self-censorship or fear of leakage.
💻Over 150,000 inferences have already been processed this way on OpenGradient, showing that private, high-stakes usage is not just theoretical.
In the long run, the builders who move fastest won’t necessarily be the ones with the smartest agents. They will be the ones who can think and build without constantly worrying about who might be watching.
-> When privacy becomes part of the infrastructure rather than an afterthought, the quality and speed of early-stage development can improve significantly.
#opg $OPG #AI #SOLRises9%
$AAVE $KAITO
#TrendingTopic
You’re working on something new. A product idea, a strategy, or a concept that could matter. It’s still early and fragile. You want to move fast but you’re holding back because you don’t fully trust where your ideas will end up once you type them into most AI agents.
This hesitation is becoming increasingly common. In DeFi and tech, we’ve already seen multiple cases where AI agents were compromised, manipulated, or had their logic exposed. When your agent can act on your behalf, any leak of your prompts or decision logic can become a real competitive or financial risk.
@OpenGradient approaches this problem differently.
Their Agent, powered by Seedream 4.0 inside Image Studio, can do more than just chat. You can describe a task in natural language and it can write code, run Python, generate images, and build working prototypes. The key difference is that all of this happens inside a hardware TEE with on-device encryption. Your prompts and outputs are never visible to OpenGradient or any third party. Even the agent’s execution environment is sealed.
This changes the nature of how people can use AI.
Instead of treating the agent as an external tool you must constantly monitor, you can treat it as a private extension of your own thinking. You can explore bolder ideas, test unconventional approaches, and iterate faster without the mental tax of self-censorship or fear of leakage.
💻Over 150,000 inferences have already been processed this way on OpenGradient, showing that private, high-stakes usage is not just theoretical.
In the long run, the builders who move fastest won’t necessarily be the ones with the smartest agents. They will be the ones who can think and build without constantly worrying about who might be watching.
-> When privacy becomes part of the infrastructure rather than an afterthought, the quality and speed of early-stage development can improve significantly.
#opg $OPG #AI #SOLRises9%
$AAVE $KAITO
#TrendingTopic
$LIT Instead of buying $HYPE at an inflated price, I chose to buy #LIT while it was cheap.
The reason is simple: when the LIT team sees HYPE surging, they will likely capitalize on the momentum to drive up their own token's price and turn a profit. Both projects belong to the same DEX trend.
#lit #TrendingTopic #TradebStocks
The reason is simple: when the LIT team sees HYPE surging, they will likely capitalize on the momentum to drive up their own token's price and turn a profit. Both projects belong to the same DEX trend.
#lit #TrendingTopic #TradebStocks
Remember these two Altcoins?
$ADA once was 3rd largest crypto at $101 Billion, now down -95% from 2021 ATH and sitting at $5.2 Billion mcap.
$DOT once was the 4th largest crypto at $60 Billion, now down -98% from 2021 ATH and sitting at $1.45 Billion mcap.
What happened to them? 🤔
#USDTMarketCapHits$186BOvertakingETH #altcoins #TrendingTopic
$ADA once was 3rd largest crypto at $101 Billion, now down -95% from 2021 ATH and sitting at $5.2 Billion mcap.
$DOT once was the 4th largest crypto at $60 Billion, now down -98% from 2021 ATH and sitting at $1.45 Billion mcap.
What happened to them? 🤔
#USDTMarketCapHits$186BOvertakingETH #altcoins #TrendingTopic
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