Crypto KOL Community & Market Trends

2.33 LPT, do you dare to take a gamble?

Grayscale quietly holding positions, AI inference fees soaring to 60%, network usage hitting a record high— but just now, RSI dropped from 37 to 25, MACD just had a death cross, and the price is still fluctuating around 2.33.

First look at the surface: sideways consolidation at low levels, seeming half dead.

In the past 7 days, up 6.5%; in 30 days, up 15.5%; market cap only $116 million, ranked 194, belonging to the “small trash” that you glance at and move on. But 24-hour trading volume is $12.75 million, turnover rate over 10%, funds are quietly entering. The candlestick chart shows: the descending wedge is nearing its end, with support at 2.18-2.25, selling pressure can no longer hold.

First thing: AI inference revenue now accounts for 60% of protocol income.

You’re not mistaken. Livepeer originally focused on decentralized video transcoding, now AI inference fees have grown 16% year-over-year each quarter, reaching $15,500, officially taking the main role. Network usage is 134 million minutes, a 72% surge compared to the previous period.

Grayscale added it to their holdings not because it will pump the price, but because it has real demand.

Second thing: On May 31, Gateway upgrade went live.

This is the biggest catalyst for LPT this year. After the upgrade, developer onboarding becomes much easier, real-time AI video—object recognition, automatic subtitles, face blurring—performance is maximized. Node operators and stakers’ earnings increase.

After May 31, it became a platform open to all AI video developers.

Third thing: a typical “bottom divergence” technical signal appears.

Price repeatedly consolidates in the 2.18-2.33 range, but RSI drops from 37 to 25—on the surface, indicating increased selling pressure, but on the daily chart, MACD histogram narrows, momentum is about to turn positive. The descending wedge + moderate volume expansion is a classic reversal pattern.

One side:

AI inference revenue accounts for 60%, network usage hits record high

Gateway upgrade on May 31, significantly lowering ecosystem entry barriers

Grayscale holdings, institutional backing

End of descending wedge, clear bottom support

One side:

In the past 24 hours, RSI dropped from 37 to 25, selling pressure remains

MACD death cross, short-term momentum turns negative

Market cap only $116 million, poor liquidity, huge volatility

Market unstable, BTC fluctuating around $80k

Key levels: 2.25-2.33, the last line of defense for bulls and bears.

Resistance above: 2.46-2.50 (wedge upper boundary) → 2.97 (previous high) → 3.29-3.65

Support below: 2.18-2.25 (strong support, channel lower boundary) → 2.11 (absolute bottom line)

Short-term traders:

Wait for a pullback to the 2.18-2.25 zone before entering, stop-loss at 2.10 (exit if broken), first target 2.46-2.50, then look for 2.97 after breakthrough.

Swing traders:

Wait for the daily close above 2.50 before entering, confirm breakout of the descending wedge, target 3.29-3.65, stop-loss at 2.30.

Long-term believers:

Buy in batches below 2.20, stake until the node to earn annualized returns. Betting on AI video DePIN becoming the main narrative in the second half of 2026, target $5-8.

LPT now is like RNDR at the end of 2023—

Everyone thought “this trash, market cap so small,” but then AI narrative exploded, shooting from $2 to $13.

You think it’s an old-school video transcoding dinosaur, but it has secretly become the infrastructure for AI video computing. #Gate广场五月交易分享 $BTC $ETH $LPT

Big brother, I'm scared. If you pay attention to me, I really don't dare to reply. 🤣

In 343 BC, Aristotle took on a special student, who would later become Alexander the Great.
After that, for more than 2,000 years, human society quietly developed an unspoken rule: top private tutors were exclusive to royalty and the elite.
By 1984, educator Benjamin Bloom proved a shocking fact: with one-on-one tutoring intervention, a student who was originally at an average 50th percentile could be raised steadily to a 99th percentile.
From mediocrity to excellence, the difference isn’t talent; it’s a personalized feedback system tailored for you.
But today, the situation has completely changed. This resource monopoly that lasted over two millennia is being ended by AI.
Recently, a 21-year-old girl from Anhui named Chen Yuxin, who studied at a regular second-tier university, didn’t enroll in those expensive exam prep classes costing tens of thousands. Instead, she focused on AI tools like DeepSeek and Doubao.
When faced with obscure academic theories, she let AI help her simplify and break them down; when her reasoning for answering questions was unclear, AI guided her through repeated simulations and iterations.
In the end, this second-tier girl broke through the super gap of educational background and successfully gained admission to Peking University for her master’s degree!
This is the ultimate impact of AI equality.
When you suddenly want to understand the wave function collapse in quantum mechanics at 2 a.m., or when you’re overwhelmed by the complexity of PostgreSQL query optimizers.
When you’re sitting at the negotiation table urgently needing to understand a strict financing clause, or simply want to practice verb conjugations.
You can always find AI to help.
In the past, mediocrity could be attributed to poor background, lack of resources, or not meeting the right mentors.
But now, once tool equality is achieved, what remains is a contest of pure willpower, curiosity, and execution.
Don’t waste this era!

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Previously, software SaaS stocks plummeted 20-30% due to fears of being replaced by AI
Overall evaporating $1-2 trillion in market value
Huang Renxun recently predicted that traditional SaaS will evolve into AaaS, AI will not replace SaaS but will use SaaS
AI agents will use software, browsers, workflow software, etc., like humans, rather than rebuilding everything from scratch
The list of next major bull market winners in AI software stocks has been revealed 👇
1. CrowdStrike $CRWD
The core of the AI era is security; global companies are increasingly dependent on network protection, belonging to a long-term high-growth track
2. Oracle $ORCL
After the explosion of AI data centers, Oracle’s cloud business and databases have rebounded, with large funds continuing to flow back
3. Salesforce $CRM
Leader in CRM SaaS, embedding AI copilots and Agentforce to increase product stickiness
4. Twilio $TWLO
After experiencing a crash, it is beginning to break through again; many think it’s already fallen into disrepair, but major market moves often start from such levels
5. ServiceNow $NOW
One of the core players in enterprise AI automation, currently with a significant valuation correction, a position institutional investors like to quietly accumulate
6. MongoDB $MDB
AI applications rely on database support; MongoDB is a long-term growth stock with a very strong developer ecosystem
7. Datadog $DDOG
As AI and cloud computing become more popular, enterprises need data monitoring more than ever, a typical “selling shovels” company
8. Snowflake $SNOW
Although its trend is relatively weak, data remains one of the most valuable assets in the AI era, with significant upside potential if it reverses later
9. UiPath $PATH
One of the biggest beneficiaries of AI agents, with a future where many repetitive tasks could be automated
10. Salesforce $CRM
Global leader in CRM, actively integrating AI into enterprise office ecosystems, with very strong cash flow
Who do you think is most likely to double?

@Alaouicapital gm, patience usually pays off in slow cycles like this

Crypto finally feels like it’s entering a completely different phase.

The Digital Asset Market Clarity Act could become a major turning point for the US market.

Spot ETF expansion keeps bringing more institutional money into crypto.

BlackRock, JPMorgan, and DTCC are pushing tokenization and real world assets deeper into traditional finance.

Markets are also watching potential Fed rate cuts because easier liquidity has always been bullish for risk assets.

At the same time, Europe’s MiCA framework and growing UK crypto investment access are creating more global regulatory clarity.

Even geopolitical tensions slowly cooling down could help risk markets move higher again.

Feels like regulation, liquidity, institutions, and adoption are finally starting to align together instead of fighting each other.

That’s usually when markets start repricing much faster than people expect.

LFG 🚀

Altseason signals are heating up.
The chart shows altcoin volume rising against the top 5 coins, a trend that previously appeared before major alt rallies.
$BTC dominance is weakening, but the Altcoin Season Index is still at 50.
Rotation has started… full altseason is not confirmed yet.

Altseason signals are heating up.
The chart shows altcoin volume rising against the top 5 coins, a trend that previously appeared before major alt rallies.
$BTC dominance is weakening, but the Altcoin Season Index is still at 50.
Rotation has started… full altseason is not confirmed yet.

$BTC LOOKS READY FOR A BIG MOVE.

Bitcoin gave a solid weekly push and cleared resistance… but that rejection from the top shows bears are still fighting.

The most important level right now is $80,800.

If bulls secure a weekly close above it, momentum could accelerate quickly.

If not, expect more chop before the next breakout attempt.

$OPG — 15MIN Setup

• Bias: Bullish / Long
• Entry Zone: 0.2900

TP1: 0.3040
TP2: 0.3190
TP3: 0.3370

Stop Loss: 0.2780

OPG is showing strong continuation structure with steady higher lows and solid buy pressure on the 15m chart. Price is compressing near support, and if momentum holds, a breakout push toward higher liquidity zones looks likely.
#GateSquareMayTradingShare #JapanTokenizesGovernmentBonds

$ZIG is on my radar.
Price compression getting tighter and momentum slowly building.
These quiet setups usually move when people least expect it.
Keeping a close eye on this one.
$1 remains the bigger target.

NEW: Over $635 million lost to crypto exploits in April 2026 with 28 incidents, marking the worst month this year

$DYM — 15MIN Setup 📈

• Bias: Bullish / Long 🟢
• Entry Zone: 0.0230

🎯 TP1: 0.0242
🎯 TP2: 0.0256
🎯 TP3: 0.0271

🛑 Stop Loss: 0.0218

DYM is holding higher lows on the 15m while buyers continue defending support aggressively. Momentum is slowly building after consolidation, and a breakout above local resistance could trigger a fast continuation move toward the next liquidity zones.#GateSquareMayTradingShare #JapanTokenizesGovernmentBonds $DYM

Can you believe it? Now a single ETH transfer costs only 2 cents.

In June, it was implemented, and the official documentation clearly states:

Gas limit: 60 million → 200 million (a 3.3x increase)

TPS: around 1,000 → target 10,000 (a 10x boost)

Gas fees: directly plummeted by 78.6%

ePBS: Block construction is finally becoming decentralized (though it might just be a different form of centralization)

For users, this is good news.

Now, trading on Uniswap that used to cost $3 might only cost 60 cents. Or even less.

Feels great, right? It does.

But here’s the question—

Who is still burning ETH?

Since EIP-1559, what is the logic behind ETH’s deflation?

More transactions → higher gas fees → more burning → reduced supply → price increases.

Now, gas fees have dropped by 78.6%.

In other words, the same transaction burns ETH that is directly reduced to one-fifth of the original.

To maintain the same burning volume, on-chain transaction volume must increase fivefold.

Glamsterdam says TPS is increased tenfold, theoretically capable of handling more transactions.

But the question is—

Will anyone come?

Data shows that the average daily transaction volume on Ethereum L1 in May 2026 is 12% lower than the same period last year.

Because everyone has already moved to L2. ARB, OP, Base… who’s still minting on L1?

L2 accounts for over 95% of execution activity.

L1 has become like a “verification machine,” not a “playground.”

You built a 10-lane highway,

but all the cars are taking the side roads.

The data is clear:

Currently, only 671 ETH are burned daily.

Compared to a few months ago, which was 2,500–3,000 ETH.

The inflation rate has shifted from –0.3% (deflation) at the start of the year to about +0.6% (inflation).

If Glamsterdam reduces gas fees by another 78.6%,

burning could drop below 300 ETH per day, almost a certainty.

At that point, ETH will no longer be a “super sound currency.”

It will just be an ordinary asset with an annual inflation of 1.2%.

You say 1.2% isn’t high?

Whether high or not doesn’t matter.

What matters is—the biggest narrative of “super sound currency” is shattered.

Once the narrative breaks, retail investors’ faith will fracture.

When faith cracks, how can prices hold?

I used to believe:

The more expensive ETH is → the more cautious people are → but burning is also more intense → so it gets more expensive, a positive cycle.

Now I see a different script:

Gas is cheap → less burning → inflation → selling pressure → price drops → even fewer users.

That’s not a positive cycle; it’s a death spiral mirror.

Yes, technological upgrades are impressive.

But impressive technology doesn’t necessarily lead to impressive prices.

After Glamsterdam, ETH’s economic model will enter an unverified, uncharted territory.

Some will win, some will lose. #Gate广场五月交易分享 $BTC $ETH

Don't be fooled! Bitcoin inflows over six weeks total 3.4 billion, which has nothing to do with trade resolution!

The US spot Bitcoin ETF has experienced net inflows for six consecutive weeks, totaling about 3.4 billion USD. The longest continuous positive inflow cycle in nearly nine months.

BlackRock's IBIT and Fidelity's FBTC, two giants, have absorbed over 60% of the new funds.

Even more eye-catching is—the bullish options positions at the 85K to 85K to 90K levels have hit a new high for the year.

What does this mean?

Big money is betting: the direction is upward, and the momentum is significant.

Meanwhile? US-China trade negotiations have indeed shown signs of easing.

So many people are starting to tell stories: "Look, they’ve reconciled, risk appetite has returned, Bitcoin has risen."

—I advise you not to be naive.

If it’s truly driven by trade negotiations, why did inflows start six weeks ago? Negotiation easing is only in the past two weeks; who was buying in the first four weeks?

Is it possible that the truth is the opposite?

It’s not reconciliation that drove ETF inflows, but ETF inflows that simply didn’t care about reconciliation.

What does six weeks of continuous inflows mean?

It indicates institutional accumulation. Institutional behavior is completely opposite to retail investors—retail chase gains and sell on dips, institutions buy in batches, regularly, and disciplined.

Six weeks straight suggests this isn’t emotional trading; it’s position management.

What does the accumulation of call options at 85K−85K−90K imply?

Big funds buying options aren’t gambling—they’re hedging or leveraging for directional bets. The accumulation at this level hits a new high for the year, indicating professional traders believe there’s still room above, and quite a bit of it.

Trade negotiations are just a distraction.

US-China easing is, of course, good, but what if it’s not? Look at the data from the first four weeks—the negotiations hadn’t even started then, yet money was still flowing in.

It’s not “because of reconciliation, BTC rises,”

but “BTC was already rising, and reconciliation is just an excuse for the bulls to keep telling stories.”

What if tomorrow trade talks take a turn for the worse again?

Tariffs are reinstated?

Negotiations collapse again?

News headlines start scaring people again?

Do you think these six weeks of inflows will stop?

My judgment is: no.

The reason is simple—

Fiat currency depreciation expectations are spreading globally (no matter what the negotiations result in, the printing presses won’t stop).

Bitcoin’s asset allocation attribute is being officially recognized by mainstream institutions.

Trade negotiations mainly affect the pace, not the direction. #Gate广场五月交易分享 $BTC

Trump calls for Bitcoin—while his own company loses $244 million: MAGA’s first major defeat in crypto

When Trump waved his fist at a rally and shouted, “America will become the cryptocurrency capital,” his own company—Truth Social’s parent—was quietly setting aside losses of $244 million in cryptocurrencies.

Yes, the person who shouted the loudest was the one who got cut the deepest.

Last year, how much did Trump’s media shine?

He boldly announced a “Bitcoin treasury strategy,” raised $2.5 billion, and went on a big buy—picking up nearly 10,000 BTC—at a cost basis of $1.13 billion.

And to tie into Truth Social’s reward system, he also shelled out $105 million to buy 756 million CRO (Cronos tokens).

It looked like a real “I’m going to take crypto off the ground” move.

So what happened?

In the first quarter of this year, BTC fell in a wave—straight back to reality.

That $244 million unrealized loss is laid out in black and white in the financial statements.

Even worse is CRO—after a near zero-style crash from its peak, that $105 million investment now has a fair value of only $53 million.

It has lost nearly half.

You think that’s the end?

There are also an additional $108.2 million in investment losses.

Add everything up, and the first-quarter net loss is $405.9 million.

What about revenue?

$871,200.

Yes, you read that right.

Lost $400 million, but earned less than $1 million.

This isn’t a company—it’s a burning fiscal sinkhole.

“In a bear market, no one can prop up their portfolio on political belief.”

Trump can shout call-outs, he can say MAGA, he can treat Bitcoin like a campaign slogan.

But the market doesn’t talk faith—it just balances the books.

Your BTC, with a cost of $1.13 billion, is now only worth a bit over $871.2k.

Your bet on CRO—once a star-level collaboration—has turned into a “fallen from grace” asset.

Shouting call-outs and pumping doesn’t rescue the balance sheet.

Even more interesting: to hedge risk, the company also used covered call options, locking in a portion of BTC as collateral.

That means many coins can’t be sold at all—you can only watch the floating losses sit on the books.

Want to cut losses and run? That’s not a thing.

This is “Trump-style value buying”—a move that looks powerful, but traps you tight. $ETH #Gate广场五月交易分享 $BTC

Trump calls for Bitcoin, but his own company loses 240 million dollars: MAGA's first defeat in crypto
When Trump waved his fist at a rally and declared "America will become the cryptocurrency capital," his own company's parent company, Truth Social, was quietly writing off a $244 million crypto loss.
That's right, the loudest caller was the one cut the deepest.
Last year, Trump’s media was quite glamorous?
Boldly announced "Bitcoin Treasury Strategy," raising $2.5 billion, aggressively buying nearly 10k BTC, with a cost basis of $1.13 billion.
Also, to tie into Truth Social's reward system, spent $105 million to buy 756 million CRO (Cronos tokens).
With a stance of "I want to take the crypto world to new heights."
And the result?
In the first quarter of this year, BTC experienced a wave of decline, directly returning to its original form.
The $244 million unrealized loss was clearly written in the financial report.
Even worse was CRO — dropping almost to zero from its peak, the $105 million investment now has a fair value of only $53 million.
Losing nearly half.
You think that's it?
There’s an additional $108.2 million investment loss.
Adding it all up, the net loss in the first quarter was $405.9 million.
And the revenue?
$87,120.
Yes, you read that right.
Lost 10k, earned less than 1 million.
This is not a company; it’s a burning financial pit.
“No one can rely on political faith to protect their portfolio in a bear market.”
Trump can call for buys, can MAGA, can take Bitcoin as a campaign slogan.
But the market doesn’t care about faith, only about numbers.
Your BTC bought at a cost of $1.13 billion is now worth just over $871.2k.
Your bet on CRO, from a top-tier partnership to a near-worthless asset.
Calling for a rally to save the balance sheet won’t work.
What’s more interesting is that this company, to hedge risks, also used covered call options, locking in some BTC as collateral.
In other words, many coins can’t be sold at all, only watched as unrealized losses hang on the books.
Want to cut losses and run? Not possible.
This is “Trump-style bottom fishing”—a bold move, but caught in a trap.

Omaha in 1999, on the eve of the craziest internet bubble. Someone at the Berkshire Hathaway shareholders' meeting, in front of tens of thousands of people, directly challenged Warren Buffett and Charlie Munger:
Why don't you take 10% and invest in the internet?
This shareholder stood up, with a tone filled with uncontainable pride and complaint.
He had invested his money into aggressive growth tech funds and doubled his money, perfectly offsetting his losses at Berkshire that year.
He questioned the two giants: You’re so smart, can’t you just take 10% and gamble in this market where you can make big money?
As shareholders, is this request too much?
Faced with the temptation of huge profits, Buffett’s answer hit the nail on the head: We will never buy things we don’t understand.
What is understanding? In Buffett’s dictionary, understanding means you have a reasonable probability of seeing through what this business will look like in ten years. If you can’t do that, even if others are making a fortune or criticizing you as stubborn, you absolutely shouldn’t touch it.
Buffett even humorously countered: Since you doubled your money, you can totally go solo and speculate freely.
You think earning less is a loss. But in reality, trying to catch every trend is precisely the beginning of big losses!
Money in the financial markets can never be exhausted, but your principal can be wiped out.
Buffett then pointed out the most common fatal mistake among retail investors: mistaking stock ticker movements for assets.
He said he and Munger never felt poorer or richer because of stock price fluctuations. They only care whether the company’s business itself is doing well. Treat the company as a private business that’s not listed; the stock price is just a constantly wrong reference quote.
Today it rises and you think you’re a stock god; tomorrow it falls and you think you’re a chump.
Once you truly understand the essence of assets, market quotes are just tools for you to profit from others’ emotions, not the masters of your emotions.
If you already have a large sum of wealth that makes your life comfortable, and someone across the street finds a method you don’t understand but makes them rich quickly—2 to 10 times faster—you should never feel distressed about it.
Our pain often isn’t because we lack money, but because others make money so easily.
Maintaining extreme indifference to money that doesn’t belong to you is the only antidote to financial anxiety. Money earned by luck often ends up lost by strength.
Whether it was the internet tech stocks of that year, the later blockchain cryptocurrencies, or the current AI frenzy, there are always people getting rich overnight.
But learning to block out these voices, focus on cultivating your own skill set—that’s true long-termism.

NVIDIA $NVDA as the top figure at the pinnacle of the elite pyramid, a little slip of the finger is enough to feed the AI supply chain below for half a year!
1. $TSM - TSMC
NVIDIA GPU core wafer foundry, responsible for manufacturing advanced process chips like Blackwell/Rubin, a key upstream partner in the AI supply chain, benefiting from NVIDIA's capacity expansion.
2. $SMCI - Supermicro
NVIDIA's main assembly partner for AI servers, providing high-performance GPU server solutions, directly benefiting from the explosive demand for data center deployments.
3. $MU - Micron Technology
An important supplier of HBM high-bandwidth memory, with AI training and inference driving a surge in memory demand, boosting its revenue growth.
4. $AVGO - Broadcom
Leader in custom AI chips and networking chips, collaborating with NVIDIA on ecosystems like NVLink, with AI semiconductor revenue growing rapidly.
5. $MRVL - Mawiell Technology
NVIDIA invested $2 billion, focusing on silicon photonics and NVLink Fusion custom XPU, a key partner in heterogeneous computing.
6. $IREN - Iris Energy
NVIDIA's massive investment and signing of large GPU cloud service contracts, transforming into an AI data center operator with significant infrastructure expansion potential.
7. $CRWV - CoreWeave
A heavily invested AI cloud infrastructure provider by NVIDIA, focusing on GPU cluster deployment, representing the “NVIDIA ecosystem new cloud.”
8. $NBIS - Nebius Group
An AI cloud company invested in by NVIDIA, aiding global computing power expansion and inference services.
9. $LITE - Lumentum
A leading optical component company invested in by NVIDIA, providing high-speed optical modules to solve bandwidth bottlenecks in AI data centers.
10. $COHR - Coherent
A core supplier of photonics and laser technology, invested in by NVIDIA alongside Lumentum.
11. $GLW - Corning
Supported by NVIDIA's investment in fiber optic infrastructure, expanding new factories to meet AI data center fiber optic demand.
12. $ANET - Arista Networks
Leader in high-performance Ethernet switches, a key network equipment supplier connecting AI GPU clusters.
13. $VRT - Vertiv
Provider of data center power and cooling solutions, working closely with NVIDIA to address high-density AI rack cooling.
14. $ARM - Arm Holdings
Core company in CPU/IP architecture invested in by NVIDIA, with AI chip designs widely using its technology.
15. $ASML - ASML
Monopoly supplier of extreme ultraviolet lithography machines, supporting advanced process chip manufacturing, indirectly driving NVIDIA GPU innovation.
16. $CRDO - Credo Technology
Provider of high-speed connectivity and signal integrity solutions, benefiting from the internal interconnect needs of AI servers.
17. $APLD - Applied Digital
Data center operator invested in by NVIDIA, focusing on AI/HPC infrastructure development.
18. $CLS - Celestica
Provider of AI server and hardware manufacturing services, performing prominently in the supply chain.
19. $STX - Seagate
Supplier of data center storage solutions, driven by the massive data storage needs of AI.
20. $CIEN - Ciena
Optical network equipment provider, supporting long-distance high-speed transmission for AI data centers.