From now on, before making any trades, especially in the morning, I will post an intraday trend analysis for the assets we're targeting, usually BTC, ETH, and SOL.
The trading direction and analysis for the day will primarily follow this note, and the trend must remain consistent unless I explicitly indicate a direction change.
If there's a violation, I'll be sending out red envelopes for each infraction!
Taking Binance Square as an example, let’s think about: What strategic value does a content community have for a platform?
For an exchange, its product form is essentially a trading tool. At the peak of the domestic Internet era, someone once said: "A good product should be used and then gone." However, when a platform has gone through the initial growth period of high expansion, especially when the industry is currently in the stage of transitioning from high growth to stock, good products should not be used and then gone. So what strategic value does the Binance Square product have for Binance? 🗝️Article title 1. Discuss the rationality of Binance Square 2. Why is this a product moat that is difficult to replicate?
Wow, it's rare to see $BTC with 5-minute consecutive days of rising so many times—this doesn't look like just a rebound, it seems like it might be about to make a big move.
Eric SJ
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$BTC This round really is a bit too aggressive. At the 63,000 level, on the short-term cycle there doesn’t seem to be any hesitation—directly a hard one straight down.
Now that support has turned into overhead resistance. Today’s direction is already set: selling on the downside is the main play.
So the corresponding strategy is only: short the rebound and go long at lower levels.
For the rebound, consider shorting around 63,200. For the low-level long, place a buy near 62,500.
$BTC This round really is a bit too aggressive. At the 63,000 level, on the short-term cycle there doesn’t seem to be any hesitation—directly a hard one straight down.
Now that support has turned into overhead resistance. Today’s direction is already set: selling on the downside is the main play.
So the corresponding strategy is only: short the rebound and go long at lower levels.
For the rebound, consider shorting around 63,200. For the low-level long, place a buy near 62,500.
Free cash flow turned negative—why did Amazon Cloud business achieve the fastest growth rate in 18 quarters?
When you look at the stock’s走势 after the release of Amazon’s earnings report, the price surged sharply in after-hours trading from around $235 before the report. Then, during the next day’s regular trading session, it rose further, eventually closing near $271.58. After that, although there were fluctuations, the price never showed any obvious pullback, and it ultimately stayed at a high level. Image source @BITstocks_CN Actually, if you put Amazon’s and Microsoft’s latest earnings reports side by side, I think the signals they send are similar: they are both increasing AI investment while also telling the market about the interim, stage-by-stage acceptance results of these investments. To understand this further, first you need to break down Amazon’s most beautiful profit figures.
"The Stellar Chain, this “old-timer,” may have gotten a ticket for the new cycle"
At the moment, in the RWA U.S. Treasury sub-sector, the asset size of Stellar Chain $XLM ranks third—already surpassing Solana
If we look at the total RWA asset size, Stellar Chain is fourth, with only a gap of about $500 million left versus Solana
It has always focused on enterprise-grade payments, but it may now be getting heavily backed by institutions
For a long time, the Stellar Chain has been ignored by the market, yet it has the most important “quality” for the new cycle: compliance
Here are some of its changes:
➠ On August 1 last year, the RWA market value on the Stellar Chain was about $500 million. Today, after a full year, that figure has already exceeded $3 billion
Meanwhile, the stablecoin market cap reached about $461 million, up 40% over the past 30 days
Its RWA asset composition isn’t a case of isolated prosperity supported by a single product; it has started to form a complete asset issuer structure: traditional asset management, on-chain U.S. Treasuries, and private credit products
Along with stablecoins
In short, among the more mainstream RWA asset issuers in the industry today, nearly all of them have been doing issuance on the Stellar Chain
➠ Last month, MoneyGram, Figure Markets, and Range announced that they would become Tier 1 validator nodes for the Stellar Chain, with onboarding expected to be completed before mid-month
These three companies are big players in payments, one of the leaders in RWA, and also provide compliance tooling—the three capabilities needed for the Stellar Chain to build an institutional finance closed loop
And institutional use of a chain is completely different from whether institutions are willing to maintain a chain
I think all of this is telling us one thing: this “old-timer” on the Stellar Chain may have gotten a “ticket” for the new cycle
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Now let’s switch to the chart
Currently, the daily structure of $XLM is reapproaching the sideways support area that formed earlier
If you enter in the 0.16–0.17 range, the odds look good
This range has been absorbing chip exchange for a long time—it was also where the price previously launched quickly. Downside risk is clear, and upside potential is substantial
Why share this all of a sudden?
Because after seeing these recent changes on the Stellar Chain, I believe it may regain mainstream market attention in the next cycle
That’s why the above view—starting from the RWA development trajectory—has been extended to $XLM
I just saw a tweet saying that someone is building an application on Polkadot $DOT
This can’t really be described as something like what the troops who entered the country in 1949 could have said anymore.
My meme collection still has that “ancient folk song” from back then.
First comes Polkadot, then comes the sky—Ethereum and Bitcoin are all on the sidelines Asynchronous isomorphism + bonus points + a side-by-side chain Parallel threads, a brand-new experience You can mine blocks anytime, anywhere—everything in the world is put on-chain Laughing at how everyone in the crypto market is like “Ah Dou,” and once a slot goes live, it can break into the thousands
I’ll say this: 99% of the people who saw this post won’t understand it.
The Perp DEX quarterly report I posted the day before yesterday
The four protocols I selected may not represent the entire Perp DEX industry, but they basically form a management sample spanning from the top tier, to the mid tier, and down to the tail
Their total Q2 revenue fell by 21.4% quarter over quarter, and this happened even though Q2 was more volatile than Q1
I also went to check the CEX derivatives trading data, and after compiling it, I found that it too declined quarter over quarter
What I put above is the combined revenue decline; in the data shown in Figure 2
Although all four protocols saw declines, the proportions vary greatly—the two middle protocols saw the largest decline, both at over 50%
This suggests that when market trading activity drops, users and liquidity do not withdraw evenly from all platforms
My inference is that funds likely left first from platforms with weaker user stickiness or those more dependent on incentives, and only later would that start to affect the top-tier platforms with stronger network effects
➠ Or put another way, mid-tier protocols may be used as backups—when “market temperature” cools, the “spare tire” is abandoned more easily
As for tail protocols, because their user base is relatively smaller, the impact they experience is not as large as what certain mid-tier protocols with a certain scale have experienced
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Then, looking at profit margins: for now, you can use 70% as an observation line to divide the four Perp DEXs into two basic layers:
Hyperliquid @HyperliquidX and Lighter @Lighter_xyz have profit margins above 70%, while edgeX and ApeX are below 70%
This line reflects not only each platform’s pricing power, but also cost control, liquidity efficiency, and ecosystem incentive spending—so it cannot represent overall operational quality on its own
If you want to further evaluate a Perp DEX’s operating quality, you need to observe three dimensions at the same time: revenue scale, profit-margin stability, and costs
Cost items vary somewhat across each protocol, but they largely come down to these elements: market maker rebates, referral rewards, liquidity incentives, and other ecosystem allocations
Even half of these expenditures are not positively correlated with trading volume
➠ For example, liquidity: even if a trading platform’s trading volume declines in a given quarter, it must still maintain order-book depth, market-making quality, and user experience; otherwise, the revenue decline will further turn into user churn
Eric SJ
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All Four Revenue Streams Declined, Perp DEX Q2 Operational Quality Segmentation
This report selects four Perp DEX whose disclosures of last quarter’s operational data on DefiLlama are relatively complete: Hyperliquid, edgeX, Lighter, and ApeX.
What’s particularly interesting is that these four protocols also happen to cover four different revenue tiers: quarterly revenue greater than 100 million, greater than 10 million but less than 100 million, greater than 5 million but less than 10 million, and greater than 1 million but less than 5 million.
Although these four protocols cannot represent the entire Perp DEX industry, they basically form a set of operational case studies spanning the full spectrum—from the top tier, to the mid tier, and down to the tail end. That is also why I put them together and expanded on them.
When entering or withdrawing funds in the crypto world
If you know right away that there’s a problem, it’s usually because there’s an issue with the account/card—there can be many reasons.
Sometimes it’s just triggering risk controls; going to the bank to resolve it is usually easier.
If there’s a problem with the funds, you usually won’t know immediately. But once your funds are frozen, many cases like this involve funds tied to an investigation.
These are the bigger cases—people end up losing both money and people.
Some U-merchant themselves are already part of a certain gray–black industry chain. They can roughly tell when this money will run into trouble.
$MSFT and $META are both earnings reports released after the U.S. stock market close in the early hours of the morning. The after-hours price action basically mirrored each other
One surged to a high One then plunged
They both have AI and are both trillion-dollar market cap companies. I scanned the key figures in both companies’ earnings reports and found that their conflict point lies in
One has already begun to兑现 AI commercialization One is still in the AI investment and validation phase
It just happened to coincide with the market’s AI validation period and a low point in sentiment: AI stocks that didn’t beat expectations for earnings—especially those “selling sugar water” highs—generally pulled back
So everyone is more sensitive to the issue of cash flow
This time, Meta’s quarterly operating cash flow reached about $31.86 billion, up about 25% year over year, while capital expenditures surged to about $31.08 billion, up about 83%
Subtract the two, and free cash flow is left at only about $784 million, down about 91% from $8.55 billion in the same period last year
Seagate’s earnings report released after the close of trading in the U.S. on Tuesday, $STX.US , doesn’t seem to have any major issues when you look purely at the numbers.
I thought that today’s open might go the opposite way of the trend set by $MU and run for a bit. But right at the open, the price action immediately did a gap-up and then a slide— It looks like it could keep going further.
As for the “AI base case pulling back”—is it really that there are no exceptions?
Seagate FY2026 Q4 revenue reached $3.629 billion, up 48.5% year over year, and up about 16.7% quarter over quarter from the previous quarter’s $3.11 billion.
Even more dramatic: both earnings per share (EPS) and free cash flow achieved triple-digit year-over-year growth.
And this growth came from the core business, not simply from producing more traditional hard drives to drive revenue.
Behind this is demand from cloud data centers for high-capacity drives.
“The company said that demand from cloud data centers is the main driving force behind this round of growth.”
Market demand hasn’t changed—if anything, it’s still quite strong.
Management also showed no signs of weakening demand for the next quarter, providing double-digit growth guidance for both revenue and EPS.
But even so, after turning in a report like this, the stock didn’t break into an independent trading trend.
Over the past two months, what I’ve seen the market expect from AI concept stocks has been along the lines of: “Good isn’t enough—you have to keep exceeding expectations by a lot, super, super, super well.”
That kind of expectation has become a bit too extreme. At the moment, the risk appetite for the AI sector is still quite weak. Even with such a strong report, all it could bring was a gap-up that was then given back.
And semiconductor stocks have also continued to weaken intraday today.
So while the market opened higher and then pulled back, it still suggests that this is good news that can’t further support valuation expansion (of course, there’s also the broader trend of AI weakening).
In short, this earnings report proves that AI storage demand is real.
But the market action is also reminding us: when sentiment turns positive, it’s not enough to be saved by just one sweet carrot.
All Four Revenue Streams Declined, Perp DEX Q2 Operational Quality Segmentation
This report selects four Perp DEX whose disclosures of last quarter’s operational data on DefiLlama are relatively complete: Hyperliquid, edgeX, Lighter, and ApeX. What’s particularly interesting is that these four protocols also happen to cover four different revenue tiers: quarterly revenue greater than 100 million, greater than 10 million but less than 100 million, greater than 5 million but less than 10 million, and greater than 1 million but less than 5 million. Although these four protocols cannot represent the entire Perp DEX industry, they basically form a set of operational case studies spanning the full spectrum—from the top tier, to the mid tier, and down to the tail end. That is also why I put them together and expanded on them.