The Shadow Arbiter
The Shadow Arbiter | Researching markets, decoding trading campaigns, and navigating the hidden layers of Web3 & crypto.
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Ghost Orders in Genius Terminal Changed How I Trade On Chain Forever
I used to hate placing large orders on DEXs. The moment I signed the transaction, my position became public. Snipers and MEV bots would immediately jump in, front run me, and eat into my profits.
Then I discovered Ghost Orders Genius Terminal’s smartest privacy feature.
Here’s how it works: Instead of broadcasting one big order, Genius automatically breaks it into hundreds of tiny fragments and routes them through multiple paths and wallets simultaneously. On chain, it looks like normal, scattered retail activity. Your real intention and size stay completely hidden.
The technology is clean and seamless. No constant wallet approvals, no signature spam just fast, private execution across chains.
The impact is massive. I no longer worry about leaking alpha. Slippage on large trades dropped noticeably, and I can finally trade with confidence without feeling like the entire blockchain is watching me.
Genius didn’t just add privacy, they made on chain trading feel professional and safe for the first time.
If you’re tired of getting sniped or front run, Ghost Orders is a game changer.
Have you tried Genius Terminal yet? What’s your experience with Ghost Orders?
#genius @GeniusOfficial $GENIUS
I used to hate placing large orders on DEXs. The moment I signed the transaction, my position became public. Snipers and MEV bots would immediately jump in, front run me, and eat into my profits.
Then I discovered Ghost Orders Genius Terminal’s smartest privacy feature.
Here’s how it works: Instead of broadcasting one big order, Genius automatically breaks it into hundreds of tiny fragments and routes them through multiple paths and wallets simultaneously. On chain, it looks like normal, scattered retail activity. Your real intention and size stay completely hidden.
The technology is clean and seamless. No constant wallet approvals, no signature spam just fast, private execution across chains.
The impact is massive. I no longer worry about leaking alpha. Slippage on large trades dropped noticeably, and I can finally trade with confidence without feeling like the entire blockchain is watching me.
Genius didn’t just add privacy, they made on chain trading feel professional and safe for the first time.
If you’re tired of getting sniped or front run, Ghost Orders is a game changer.
Have you tried Genius Terminal yet? What’s your experience with Ghost Orders?
#genius @GeniusOfficial $GENIUS
I’ve been testing different AI tools for a while, and one thing always felt missing: real transparency about where the answer actually came from.
Most models just spit out a response and that’s it. You have no idea whose data, whose refinement, or whose feedback actually shaped it. It’s all hidden.
OpenLedger is approaching this differently.
Their Proof of Attribution (PoA) doesn’t add explanation after the fact. It works in real time during the generation process. As the model pulls information from Datanets (community owned, specialized datasets), the system measures the influence of each contribution on the spot and records it on chain. When the output is delivered, the attribution is already there.
This small technical difference changes the entire feel of using AI.
Instead of being a passive user feeding data into a black box, you become part of a traceable system. Contributors, whether they’re providing data, fine tuning models, or giving feedback, can actually see and earn from the impact they make. $OPEN becomes the reward layer that connects real usage to real value.
For the crypto space, this is a much more grounded approach than most AI tokens. While others focus on hype and faster models, OpenLedger is building the infrastructure layer that makes AI contributions ownable and rewarded on chain. It turns the usual “extractive” model into something closer to a shared economy.
Of course, it’s still early. The system needs to prove it stays accurate and scalable as usage grows. But the core idea feels right: transparency shouldn’t be an afterthought, it should be built into the process itself.
@OpenLedger $OPEN #OpenLedger
Have you ever wondered where an AI answer actually came from? Do you think on chain attribution during generation could become important as AI gets more powerful?
Most models just spit out a response and that’s it. You have no idea whose data, whose refinement, or whose feedback actually shaped it. It’s all hidden.
OpenLedger is approaching this differently.
Their Proof of Attribution (PoA) doesn’t add explanation after the fact. It works in real time during the generation process. As the model pulls information from Datanets (community owned, specialized datasets), the system measures the influence of each contribution on the spot and records it on chain. When the output is delivered, the attribution is already there.
This small technical difference changes the entire feel of using AI.
Instead of being a passive user feeding data into a black box, you become part of a traceable system. Contributors, whether they’re providing data, fine tuning models, or giving feedback, can actually see and earn from the impact they make. $OPEN becomes the reward layer that connects real usage to real value.
For the crypto space, this is a much more grounded approach than most AI tokens. While others focus on hype and faster models, OpenLedger is building the infrastructure layer that makes AI contributions ownable and rewarded on chain. It turns the usual “extractive” model into something closer to a shared economy.
Of course, it’s still early. The system needs to prove it stays accurate and scalable as usage grows. But the core idea feels right: transparency shouldn’t be an afterthought, it should be built into the process itself.
@OpenLedger $OPEN #OpenLedger
Have you ever wondered where an AI answer actually came from? Do you think on chain attribution during generation could become important as AI gets more powerful?
$NEAR is still heavily undervalued and they keep delivering.
We're in the phase where years of building is finally getting rewarded and being paid off within the token valuation.
A lot of people have claimed that altcoins are dead, but that's the complete opposite.
Strong teams have continued to be building during the previous bear market and the first signs are finally paying off.
You're now able to send a confidential payment, and be fully private. That should be the standard and NEAR has now been able to deliver that towards the ecosystem.
No wonder there's so much hype around the protocol and that's why I'm happily allocated into this position.
If there's a case where the markets are going into a multi-week or perhaps multi-month upwards run for the altcoin markets (risk-on appetite), this could continue to run to $8-11 and test those highs again, similar to any of the previous cases in 2023/2024 where there was the slightest sign of some altcoin momentum.
#TrendingTopic #BullishMomentum #Near
We're in the phase where years of building is finally getting rewarded and being paid off within the token valuation.
A lot of people have claimed that altcoins are dead, but that's the complete opposite.
Strong teams have continued to be building during the previous bear market and the first signs are finally paying off.
You're now able to send a confidential payment, and be fully private. That should be the standard and NEAR has now been able to deliver that towards the ecosystem.
No wonder there's so much hype around the protocol and that's why I'm happily allocated into this position.
If there's a case where the markets are going into a multi-week or perhaps multi-month upwards run for the altcoin markets (risk-on appetite), this could continue to run to $8-11 and test those highs again, similar to any of the previous cases in 2023/2024 where there was the slightest sign of some altcoin momentum.
#TrendingTopic #BullishMomentum #Near
BREAKING: Trump confirms the US is in active negotiations with Iran over a nuclear deal.
And says a full blockade remains in place until a deal is signed.
He warned there "can be no mistakes" and told his team not to rush, saying "time is on our side."
Trump also floated the idea of Iran joining the Abraham Accords, something that would represent one of the biggest diplomatic shifts in Middle East history.
#TRUMP #TrendingTopic #Write2Earn #iran
And says a full blockade remains in place until a deal is signed.
He warned there "can be no mistakes" and told his team not to rush, saying "time is on our side."
Trump also floated the idea of Iran joining the Abraham Accords, something that would represent one of the biggest diplomatic shifts in Middle East history.
#TRUMP #TrendingTopic #Write2Earn #iran
A $14.7 million buyback always sounds impressive on paper. But what makes OpenLedger’s move stand out is not just the size, it’s the source of the money.
Unlike most crypto projects that fund buybacks from treasury or new raises, OpenLedger is using actual enterprise revenue generated from their AI infrastructure and data services. This is a meaningful difference. It shows the project is beginning to convert real product usage into direct token support.
At the core of @OpenLedger is Proof of Attribution (PoA), their on chain system that tracks contributions from data providers, model creators, and AI agents running on OctoClaw. When businesses and users actively interact with Datanets or deploy agents, it generates real revenue. That revenue is now being reinvested in the market through acquisitions.
For the cryptocurrency community, this creates better synergy. Instead of relying solely on hype or emissions, the token gets support from actual adoption and usage. It reduces long term selling pressure and signals that the AI native L2 (built on OP Stack) is moving beyond narrative into real economic activity.
Of course, one buyback isn’t a complete solution. Token unlocks still exist, and sustained success will depend on whether this revenue stream can scale consistently.
Still, in a sea of AI projects that only promise future utility, #OpenLedger is quietly showing early proof that their technology can generate real cash flow and use it to support $OPEN .
This is the kind of execution that builds longer term trust.
Unlike most crypto projects that fund buybacks from treasury or new raises, OpenLedger is using actual enterprise revenue generated from their AI infrastructure and data services. This is a meaningful difference. It shows the project is beginning to convert real product usage into direct token support.
At the core of @OpenLedger is Proof of Attribution (PoA), their on chain system that tracks contributions from data providers, model creators, and AI agents running on OctoClaw. When businesses and users actively interact with Datanets or deploy agents, it generates real revenue. That revenue is now being reinvested in the market through acquisitions.
For the cryptocurrency community, this creates better synergy. Instead of relying solely on hype or emissions, the token gets support from actual adoption and usage. It reduces long term selling pressure and signals that the AI native L2 (built on OP Stack) is moving beyond narrative into real economic activity.
Of course, one buyback isn’t a complete solution. Token unlocks still exist, and sustained success will depend on whether this revenue stream can scale consistently.
Still, in a sea of AI projects that only promise future utility, #OpenLedger is quietly showing early proof that their technology can generate real cash flow and use it to support $OPEN .
This is the kind of execution that builds longer term trust.
🚨Americans have never felt worse about the economy than they do right now.
The University of Michigan just released its May 2026 consumer survey and every single indicator hit a record low simultaneously for the first time ever.
- Consumer Sentiment Index: record low at 44.8
- Current Economic Conditions Index: record low
- Current Financial Situation Index: matched lowest ever recorded
- Long run inflation expectations: jumped to 3.9%, highest since October 2025
The index has broken its own all time record twice in consecutive months.
57% of Americans said high prices are actively destroying their personal finances.
The Iran war pushed gasoline above $4.50. Inflation is at 3.8% and accelerating. Consumer spending is 70% of US GDP.
When 57% of the people driving that spending say prices are destroying their finances, the economy has a problem that no stock market rally can hide.
#TrendingTopic #TRUMP #Write2Earn
The University of Michigan just released its May 2026 consumer survey and every single indicator hit a record low simultaneously for the first time ever.
- Consumer Sentiment Index: record low at 44.8
- Current Economic Conditions Index: record low
- Current Financial Situation Index: matched lowest ever recorded
- Long run inflation expectations: jumped to 3.9%, highest since October 2025
The index has broken its own all time record twice in consecutive months.
57% of Americans said high prices are actively destroying their personal finances.
The Iran war pushed gasoline above $4.50. Inflation is at 3.8% and accelerating. Consumer spending is 70% of US GDP.
When 57% of the people driving that spending say prices are destroying their finances, the economy has a problem that no stock market rally can hide.
#TrendingTopic #TRUMP #Write2Earn
I initially saw OpenLedger as another project jumping into the AI race, better models, faster inference, more agents. That’s where most attention goes.
But after spending more time with it, I realized the bigger story isn’t about intelligence. It’s about coordination.
AI doesn’t just need powerful models. It needs a way to connect data contributors, model builders, validators, compute providers, and agents while making sure value is fairly distributed. Most decentralized AI projects eventually drift back toward centralization because the economics behind them aren’t sustainable.
OpenLedger is approaching this differently. Instead of focusing only on model performance, they’re building a coordination layer on their AI native L2. Through Proof of Attribution, every contribution is recorded on chain, its real impact is measured, and $OPEN rewards are distributed transparently to the actual contributors. Datanets allow community owned datasets, while the entire system keeps everything verifiable and composable.
This changes how the ecosystem works. People who know their inputs are traceable and rewarded over time, provide better quality data and more thoughtful improvements. The focus changes from short term hype to long term alignment.
For crypto, this is significant. While most projects compete on who has the smartest AI, @OpenLedger is betting that real, lasting value will come from whoever builds the best coordination infrastructure around it.
It’s quieter than the usual AI narrative, but potentially much more important.
#OpenLedger
But after spending more time with it, I realized the bigger story isn’t about intelligence. It’s about coordination.
AI doesn’t just need powerful models. It needs a way to connect data contributors, model builders, validators, compute providers, and agents while making sure value is fairly distributed. Most decentralized AI projects eventually drift back toward centralization because the economics behind them aren’t sustainable.
OpenLedger is approaching this differently. Instead of focusing only on model performance, they’re building a coordination layer on their AI native L2. Through Proof of Attribution, every contribution is recorded on chain, its real impact is measured, and $OPEN rewards are distributed transparently to the actual contributors. Datanets allow community owned datasets, while the entire system keeps everything verifiable and composable.
This changes how the ecosystem works. People who know their inputs are traceable and rewarded over time, provide better quality data and more thoughtful improvements. The focus changes from short term hype to long term alignment.
For crypto, this is significant. While most projects compete on who has the smartest AI, @OpenLedger is betting that real, lasting value will come from whoever builds the best coordination infrastructure around it.
It’s quieter than the usual AI narrative, but potentially much more important.
#OpenLedger
$SOL
One thing that continues standing out on $SOL is how different the structure looks compared to BTC and ETH.
While BTC and even ETH managed to build larger ascending structures off the February lows, SOL has spent the last 4 months trapped inside the same horizontal range without any real trend development.
Ranging after a major breakdown is very different from trending after one.
So far, every breakout attempt into the $98 region has been sold back into the middle of the range, while support around the high-$70s / low-$80s continues getting retested over and over again.
The longer a market keeps repeatedly leaning on the same support without expanding upward, the more vulnerable it becomes if general market weakness starts accelerating.
Especially for an asset like SOL, where positioning and beta tend to amplify the downside once momentum flips.
So either this range is marking long-term accumulation, or it’s redistribution before another leg lower.
Right now, I lean toward the second.
#sol #TrendingTopic #BullishMomentum
One thing that continues standing out on $SOL is how different the structure looks compared to BTC and ETH.
While BTC and even ETH managed to build larger ascending structures off the February lows, SOL has spent the last 4 months trapped inside the same horizontal range without any real trend development.
Ranging after a major breakdown is very different from trending after one.
So far, every breakout attempt into the $98 region has been sold back into the middle of the range, while support around the high-$70s / low-$80s continues getting retested over and over again.
The longer a market keeps repeatedly leaning on the same support without expanding upward, the more vulnerable it becomes if general market weakness starts accelerating.
Especially for an asset like SOL, where positioning and beta tend to amplify the downside once momentum flips.
So either this range is marking long-term accumulation, or it’s redistribution before another leg lower.
Right now, I lean toward the second.
#sol #TrendingTopic #BullishMomentum
i’ve noticed something strange in this market: people get excited about the layer that does the work, but rarely pay attention to the layer that proves the work was done correctly. execution feels sexy. verification feels boring and administrative. yet the systems that survive at scale rarely break where the action is most visible.
that’s exactly why @OpenLedger stands out to me.
most of the AI crypto narrative still revolves around faster compute, smarter agents, and higher inference speed. everyone is chasing performance and novelty. but as AI starts making real economic decisions, triggering payments, access rights, rankings, or business actions, the expensive problem quietly shifts. the real bottleneck is no longer “can the model respond?” but “can anyone reliably prove what data influenced it, how it arrived at that output, and whether it should be trusted?”
this is where OpenLedger’s approach feels directionally different. through its Proof of Attribution (PoA), every contribution, data, model refinements, feedback, and inference, is recorded on chain with cryptographic traceability. the system doesn’t just log activity. it measures real impact and automatically distributes fair rewards based on verifiable influence.
because of this verification layer, something important changes. execution can be commoditized (newer, faster models will always replace older ones), but trust compounds through repetition. when contributors know their work is permanently traceable and economically rewarded, they behave differently. the network doesn’t just get more intelligence, it gets higher quality, more accountable intelligence over time.
for the broader crypto community, this creates a subtle but powerful shift. while most projects compete on flashy execution, #OpenLedger is building the accountability infrastructure that turns one time usage into durable dependency. in a world where AI will increasingly influence real economic outcomes, the ability to prove what happened may eventually matter more than how fast it happened.
$OPEN
that’s exactly why @OpenLedger stands out to me.
most of the AI crypto narrative still revolves around faster compute, smarter agents, and higher inference speed. everyone is chasing performance and novelty. but as AI starts making real economic decisions, triggering payments, access rights, rankings, or business actions, the expensive problem quietly shifts. the real bottleneck is no longer “can the model respond?” but “can anyone reliably prove what data influenced it, how it arrived at that output, and whether it should be trusted?”
this is where OpenLedger’s approach feels directionally different. through its Proof of Attribution (PoA), every contribution, data, model refinements, feedback, and inference, is recorded on chain with cryptographic traceability. the system doesn’t just log activity. it measures real impact and automatically distributes fair rewards based on verifiable influence.
because of this verification layer, something important changes. execution can be commoditized (newer, faster models will always replace older ones), but trust compounds through repetition. when contributors know their work is permanently traceable and economically rewarded, they behave differently. the network doesn’t just get more intelligence, it gets higher quality, more accountable intelligence over time.
for the broader crypto community, this creates a subtle but powerful shift. while most projects compete on flashy execution, #OpenLedger is building the accountability infrastructure that turns one time usage into durable dependency. in a world where AI will increasingly influence real economic outcomes, the ability to prove what happened may eventually matter more than how fast it happened.
$OPEN
🚨$HYPE HITS NEW ATH AFTER 13% DAILY JUMP
$HYPE reached a new all-time high of $62.38 as institutional demand keeps accelerating.
Grayscale is loading up, buying 115,733 HYPE worth $6.65 MILLION in the past hour alone as flagged by LookOnChain.
Grayscale has accumulated 682,190 HYPE worth $34.9 MILLION in the past week.
Coinbase also became Hyperliquid’s official USDC liquidity provider and is set to acquire USDH brand assets.
$HYPE is now entering price discovery!🔥
#TrendingTopic #BullishMomentum #hype
$HYPE reached a new all-time high of $62.38 as institutional demand keeps accelerating.
Grayscale is loading up, buying 115,733 HYPE worth $6.65 MILLION in the past hour alone as flagged by LookOnChain.
Grayscale has accumulated 682,190 HYPE worth $34.9 MILLION in the past week.
Coinbase also became Hyperliquid’s official USDC liquidity provider and is set to acquire USDH brand assets.
$HYPE is now entering price discovery!🔥
#TrendingTopic #BullishMomentum #hype
The US government just became a shareholder in nine quantum computing companies.
The last time the Trump administration took an equity stake in a company it was Intel in August 2025, when it acquired a 10% stake. Intel's stock is up over 370% since then.
The Trump administration is now awarding $2 billion in grants to nine quantum computing companies and taking equity stakes in all of them in return.
IBM gets $1 billion and is building a brand new quantum chip foundry called Anderon in Albany, New York. GlobalFoundries gets $375 million. Rigetti, D-Wave, and Infleqtion each get $100 million.
The same playbook that turned Intel into one of the best performing stocks of the past year is now being applied to the entire quantum computing sector simultaneously.
The market already knows what this means.
Rigetti is up 24% today.
Infleqtion is up 35%.
IBM is up 8%.
Globalfoundries is up 11%.
D-Wave is up 5.34%
The US is now directly owning pieces of the companies it considers critical to winning the technology race against China.
#TrendingTopic #BullishMomentum #SECPausesNewETFApplicationReview
The last time the Trump administration took an equity stake in a company it was Intel in August 2025, when it acquired a 10% stake. Intel's stock is up over 370% since then.
The Trump administration is now awarding $2 billion in grants to nine quantum computing companies and taking equity stakes in all of them in return.
IBM gets $1 billion and is building a brand new quantum chip foundry called Anderon in Albany, New York. GlobalFoundries gets $375 million. Rigetti, D-Wave, and Infleqtion each get $100 million.
The same playbook that turned Intel into one of the best performing stocks of the past year is now being applied to the entire quantum computing sector simultaneously.
The market already knows what this means.
Rigetti is up 24% today.
Infleqtion is up 35%.
IBM is up 8%.
Globalfoundries is up 11%.
D-Wave is up 5.34%
The US is now directly owning pieces of the companies it considers critical to winning the technology race against China.
#TrendingTopic #BullishMomentum #SECPausesNewETFApplicationReview
most AI projects in crypto feel like isolated tools pretending to be ecosystems. OpenLedger caught my attention because it’s doing something different: it’s building the coordination layer that actually connects data, compute, models, and agents into one efficient network.
the real challenge in decentralized AI isn’t making models smarter, it’s making all these pieces work together smoothly. centralized platforms solve this with closed systems. OpenLedger takes the opposite route. through its AI native l2, datanets (community owned datasets), model factory, and especially proof of attribution (poa), every contribution becomes traceable and rewarded on chain.
poa is the key bridge here. it records every dataset, fine tune, and inference, measures its real impact, and automatically distributes fair $open rewards. that single mechanism changes everything. contributors began behaving differently, they uploaded higher quality data and edited it more carefully because they knew their work had real economic value.
technologically, it all runs on an evm compatible layer 2 with seamless integration across evm bridge and erc 4626 vaults, keeping liquidity and attribution fully on chain.
for the crypto community, this is the quiet but critical shift. while others chase hype, @OpenLedger is building the infrastructure where coordination happens before speculation outruns utility, turning fragmented AI pieces into a true, self-reinforcing machine economy.
$OPEN #OpenLedger
the real challenge in decentralized AI isn’t making models smarter, it’s making all these pieces work together smoothly. centralized platforms solve this with closed systems. OpenLedger takes the opposite route. through its AI native l2, datanets (community owned datasets), model factory, and especially proof of attribution (poa), every contribution becomes traceable and rewarded on chain.
poa is the key bridge here. it records every dataset, fine tune, and inference, measures its real impact, and automatically distributes fair $open rewards. that single mechanism changes everything. contributors began behaving differently, they uploaded higher quality data and edited it more carefully because they knew their work had real economic value.
technologically, it all runs on an evm compatible layer 2 with seamless integration across evm bridge and erc 4626 vaults, keeping liquidity and attribution fully on chain.
for the crypto community, this is the quiet but critical shift. while others chase hype, @OpenLedger is building the infrastructure where coordination happens before speculation outruns utility, turning fragmented AI pieces into a true, self-reinforcing machine economy.
$OPEN #OpenLedger
THIS SHOULD BE ILLEGAL.
A South Korean funeral company invested its customers' money in a leveraged crypto ETF and lost $33 million.
Bumo Sarang, South Korea's seventh largest funeral service provider, took $40 million of prepaid customer funds and put it into the T-REX 2X Long BMNR Daily Target ETF, a product that delivers twice the daily return of Bitmine, an Ethereum treasury company.
The position is now worth $10 million.
The funeral industry in Korea is regulated by the Fair Trade Commission, not any financial authority. The only rule is keeping 50% of prepaid funds in reserve.
The other 50% is completely unregulated, meaning a funeral company can legally take half of every customer's burial money and invest it anywhere.
43% of South Korean funeral service providers currently hold fewer assets than the customer advance payments they are supposed to be protecting.
Bumo Sarang called the $33 million loss a "short-term unrealized loss due to global market volatility."
Ethereum is down 28% this year, Bitmine is down 34%
And because it is a 2x leveraged product, every daily move hits the position twice as hard.
#TrendingTopic #Write2Earn #CryptoNews
A South Korean funeral company invested its customers' money in a leveraged crypto ETF and lost $33 million.
Bumo Sarang, South Korea's seventh largest funeral service provider, took $40 million of prepaid customer funds and put it into the T-REX 2X Long BMNR Daily Target ETF, a product that delivers twice the daily return of Bitmine, an Ethereum treasury company.
The position is now worth $10 million.
The funeral industry in Korea is regulated by the Fair Trade Commission, not any financial authority. The only rule is keeping 50% of prepaid funds in reserve.
The other 50% is completely unregulated, meaning a funeral company can legally take half of every customer's burial money and invest it anywhere.
43% of South Korean funeral service providers currently hold fewer assets than the customer advance payments they are supposed to be protecting.
Bumo Sarang called the $33 million loss a "short-term unrealized loss due to global market volatility."
Ethereum is down 28% this year, Bitmine is down 34%
And because it is a 2x leveraged product, every daily move hits the position twice as hard.
#TrendingTopic #Write2Earn #CryptoNews
$ZEC
There’s the move back into our marked $590-600 region.🎯
We got the push we were looking for after price reclaimed and held the prior $560 lower high pivot as support.
We've already rejected on the first attempt through, but as long as $560 continues holding, I’d still expect another attempt higher.
That said, the actual breakout level is still sitting at $640, so I’m watching for whether this move rejects and sets the next macro lower high.
But if $ZEC does manage to reclaim $600 as support, the chart has the support it needs to push back toward the $640 range highs.
#TrendingTopic #zec #BullishMomentum
There’s the move back into our marked $590-600 region.🎯
We got the push we were looking for after price reclaimed and held the prior $560 lower high pivot as support.
We've already rejected on the first attempt through, but as long as $560 continues holding, I’d still expect another attempt higher.
That said, the actual breakout level is still sitting at $640, so I’m watching for whether this move rejects and sets the next macro lower high.
But if $ZEC does manage to reclaim $600 as support, the chart has the support it needs to push back toward the $640 range highs.
#TrendingTopic #zec #BullishMomentum
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