海盗鸭

Ethereum closed red in July, but it's still 60% away from its all-time high. Meanwhile, network data during the same period has clearly improved—activity and on-chain settlement are both rising. This divergence between “fundamentals improving, while the coin price lags” is a point that anyone discussing $ETH can’t avoid.

Where’s the problem? My understanding is that the value-capture chain has been diluted. L2s have siphoned off a large volume of transactions and users, mainnet gas revenue is being diverted, and the deflationary logic of ETH as an asset isn’t as hard anymore as it used to be. The more prosperous the network becomes, the less fees the mainnet itself receives—this is a structural contradiction embedded in the Rollup roadmap from the start. On top of that, this year’s capital has clearly shown a stronger preference for assets like $SOL —“high-performance single chains with simple narratives.” Something like ETH—“a massive ecosystem but hard to account for”—isn’t as favored by institutions.

So don’t just look at TVL and rising transaction counts and assume ETH should catch up. Between network prosperity and token appreciation, there’s a “value allocation ledger” that sits in between. Until that ledger gets resolved, the divergence can continue. In the short term, I’d rather treat it as range-bound consolidation, waiting for a catalyst that brings fees back to the mainnet.
#Ethereum

A rather unusual piece of data: in 2026, Bitcoin’s volatility is actually lower than South Korea’s KOSPI. In the past, it was always the stock market that joked that crypto was a casino; now it’s Samsung and SK Hynix’s AI narrative that has turned leveraged ETFs into something that makes your heart race. This shows two things—that after BTC became institutionalized, it has indeed been “de-sensationalized” (or “muted”): the influx of big money has diluted the speculative crowd; and the AI narrative has pushed the traditional stock market into the kind of craze that characterized crypto in its early days. The shift from $BTC to “a safe haven” is actually good news for anyone looking to allocate capital—lower volatility means you can take larger positions. Targets like $SKHYB are now the real high-volatility battlegrounds; chasing the price up requires careful weighing.

Galaxy 的 Alex Thorn 警告 Coldcard 疑似第四波攻击又卷走了 448 枚 BTC，而且这次有个细节值得注意——部分被盗资金还在未确认交易里，受害者有一个很窄的窗口能抢救。硬件钱包一直被当成冷存储的信仰，这次连续四波直接把"自托管绝对安全"的神话戳破了。问题根子在随机数生成有缺陷，等于私钥从出厂就可能被预测。 $BTC 本身没事，但这提醒所有拿硬件钱包的人：冷存储不等于免检，固件版本得跟着查。安全永远是加密最贵的学费。

Saylor’s Strategy is now starting to watch Bitcoin’s 200-week moving average, and this move carries a lot of information. The 200-week line has historically been repeatedly respected through every bull-and-bear cycle as long-term support. For someone who never looks at technical indicators and only ever calls out “hold forever” to suddenly publicly focus on this line suggests he is also giving himself an anchor for “should I keep adding or not.” This is the same thing as his pause in DCA—two sides of the same coin: the logic for adding positions has shifted from mindless buying to timing buys. The shareholders of $MSTRB should take note: when the company’s narrative shifts from offense to defense, once $BTC breaks below that line, MSTR’s premium could collapse before the coin price does. That line is now a psychological line of defense shared by two assets.

Saylor has paused the strategy’s weekly fixed-interval investing. That’s a signal. After looking back over the past three or four years, the premium logic of MSTR has always been built on the “infinite accumulation narrative.” When buy-side demand stops, that portion of the story has to be repriced. Now he’s changing his tune to target the BTC 200-week moving average as support, which effectively admits that the current price isn’t cheap and he wants to wait for a pullback before acting. The problem is that MSTR itself has a leveraged characteristic—when the coin price trades sideways, it falls faster. $MSTRB is under short-term pressure. Don’t treat it as a direct substitute for $BTC . As a volatility amplifier, it’s a plus in a bull market and a minus in a choppy market. It’s worth watching the timing of his next entry.

After Apple’s earnings report, it was kicked out of the $5 trillion club—let’s break this down. The market’s immediate concern is memory price hikes—DRAM and NAND have been rising sharply, and it’s true that hardware gross margins are being squeezed. But I think the reaction is a bit overdone. Apple’s bargaining power across the entire supply chain is top-tier. It knows best how to use long-term contracts to lock prices and secure early inventory. In the short term, the cost shock is more about sentiment and valuation cuts than a real collapse in fundamentals.

What’s really worth watching is the other side of the equation: the beneficiaries of rising memory prices. Micron and SK hynix were still cutting production and clearing inventory last year, but this year they’ve turned around. Same event, different outcomes—at Apple it’s cost pressure, while at the suppliers it’s profit leverage. Markets often kill the “visible losers” first and reward the “quiet eaters” later. So instead of obsessing over $AAPLB being kicked out of the club, it’s better to ask who’s actually collecting money in the price-hike chain. Earnings guidance from storage-related names like $MUB may carry more actionable information than Apple’s report. Apple may face pressure in the short term, but that $5 trillion threshold is one it has entered and exited more than once—don’t read too much into it.
#美股财报 #AI chips

Meta This cash flow data is really tough. The ad engine is still running at high speed, and free cash flow hasn’t peaked just because they’re spending heavily on AI and the metaverse—this is the most solid piece in the bull case. It’s not a pure cash-burn story; the core business has been self-generating cash. But I’m focused on another contradiction: on one hand, ad revenue is stable; on the other, capital expenditure guidance keeps being raised. When will this bottomless pit of AI infrastructure finally translate into the revenue side? The market doesn’t have a consensus on that. Zuckerberg’s current approach is to use highly certain advertising cash to bet on an uncertain AI future. The short-term results may look good, but the long-term outcome depends on the payback cycle of this investment. Compared with several other AI-heavy giants, Meta’s advantage is that it has a printing-press machine that’s still making money as a backstop, giving it a much higher margin for error. It’s worth watching the capex inflection point over the next few quarters. $METAB

#US stock earnings report

XRP 的 ETF 已经连续第四个月净流入，钱一直在往里进，可币价还比一月份高点低了差不多 40%。这个背离挺值得琢磨——通常我们默认机构资金进场=买盘托底=价格该涨，但 XRP 这波恰好反着来。我的理解是，ETF 那点增量流入的体量，压根抵不过现货市场上早期筹码和解锁盘的抛压，资金进得慢、筹码砸得快，账面上就成了"流入不涨"。这其实是个提醒：ETF 数据好看不等于价格有支撑，两者中间隔着一整个供给结构。短期 $XRP 想扭转，光靠 ETF 慢慢滴灌不够，得看抛压那头什么时候歇。盯资金流的同时，也得看看谁在另一边卖。

An easily overlooked piece of data: SpaceX's secondary market valuation is already 19% below its IPO pricing. Interestingly, someone dug up Tesla's post-IPO performance — in its early days it also experienced a break below issue price and a long period of consolidation before the later surge. This analogy sounds inspiring, but I have to pour a bucket of cold water on it: history rhymes, it doesn't repeat. When Tesla broke below its issue price, its market cap was only in the tens of billions; SpaceX is now a company worth hundreds of billions, and the same percentage pullback reflects a completely different scale of capital and expectations. Whether this 19% discount is a golden buying opportunity or the start of valuation returning to fundamentals depends on whether Starlink's paying user growth can support that sky-high price. I won't blindly buy the dip $TSLAB or bet on Starlink just because "Tesla was like this back then"; a compelling story and certainty are two different things, and this level is more suitable for watching than for making a heavy bet.

Galaxy research director Alex Thorn pointed out that this Coldcard attack is no small one—possibly the fourth round, with 389 BTC allegedly taken. Even more concerning are the details he mentioned: some of the stolen funds are still sitting in unconfirmed transactions, and victims have a very narrow time window in which they might be able to recover them. This suggests the attack method is targeting the hardware wallet’s firmware or supply-chain component, rather than relying on simple phishing. Many people think a cold wallet is absolutely safe, but as long as there’s contamination in areas like device provenance or firmware updates, going offline won’t be able to block it. The repeated use of the phrase "the Nth wave" indicates the vulnerability may not have been fully patched all along. Users of the same model should really check the source of their firmware. Events like this may have limited direct impact on BTC price, but they slowly erode trust in self-custody—once the security narrative loosens, it can push some people back toward exchanges. $BTC

#BitcoinSecurity

Store this wave—worth bringing up separately. This piece bundles together “the show is still to come” with Nvidia, Micron, and Sandisk, and the logic is actually the same chain: as AI compute expansion grows, it doesn’t just consume GPUs—it’s also疯狂地吞 HBM and enterprise SSDs. Behind each Nvidia card are dozens of GB of high-bandwidth memory. Micron is the most direct beneficiary in the shovel-and-spade market. And Sandisk’s NAND has just gone through a price-increase cycle. What’s interesting is that market sentiment is clearly segmented—Nvidia’s valuation has already been discussed to death, but Micron and the storage sector’s repricing is only just starting. Last year, they were still cutting production due to oversupply; when data-center demand picked up this year, the narrative flipped immediately. I’d rather track the storage side’s catch-up rhythm. The leaders’ positions are already filled, and second-tier names’ upside hasn’t been fully price in yet. Of course, the key premise is whether AI capex can keep going—if it breaks, all three pull back together. $NVDAB $MUB $SNDKB

#AI芯片 # Shortage of Apple chips drags down sales expectations

When Cathie Wood collectively turns cautious on Wall Street, she instead buys more shares of Tesla and SpaceX—a move that, by itself, carries more information than what she says. Cathie Wood’s usual playbook is that when others panic, she steps in. The issue this time is that the backdrop is a bit different—several investment banks have cut their Tesla target prices, citing weak deliveries and Elon Musk’s political distractions. Her logic is still the same: she doesn’t look at the car-selling numbers in the present; she is betting on the long-term option value of autonomous driving plus humanoid robotics. This disagreement is actually classic. Value investors look at the PE ratio and feel it’s priced outrageously high, while growth investors are thinking about what the company will be like ten years from now. Personally, I lean toward the middle—Wood’s judgment has been validated by the AI wave, but her portfolio volatility is also well known. $TSLAB At today’s price, it feels more like a “faith deposit” than a margin of safety. If you dare to follow, you have to be able to weather the drawdowns.

Cramer’s line “Never underestimate this person” was said after SpaceX put its new-generation constellation into orbit, and after Musk hyped Starlink V3 as a “game changer.” The selling point of V3 is that its bandwidth jumps to the terabit level, directly competing with terrestrial fiber-optic networks—this is the real engine behind SpaceX’s valuation, not the rockets themselves, but the network in the sky. Market sentiment was still mocking Musk’s alleged distractions last year, but now that the satellites are actually up there, the tone has changed. In my view, Starlink’s cash flow has begun to support the entire ecosystem, which indirectly validates the narrative around the $TSLAB robot and autonomous driving—same person, same set of engineering capabilities, reused. In the short term, expectations for a Starlink IPO may keep warming up the related stocks, but don’t forget that the hard part is the V3 mass-production ramp. Sending up more satellites doesn’t automatically mean user payments can keep up. The hype is worth watching, but real money is in the installed base.

PayPal's Q2 earnings are out. Total payments reached a historic high of $486.4 billion. It also separately spun up a crypto division—clearly signaling an intention to double down on the stablecoin track. I’m not focused on the pretty headline total, but on the move to create a “dedicated department.” A long-established payments company with 20+ years of experience is upgrading stablecoins from a side experiment into an independent business line. That shows it has decided this is where the next round of payment infrastructure belongs, not just chasing a trend. The real battleground for stablecoins is cross-border transactions and merchant settlement. PayPal already has an existing merchant network in hand—an moat that Web3-only projects in the short term can’t easily take away. Whether this step—$PYPLB —can be turned into actual profit remains to be seen, but the direction is unmistakable. For the roster of stablecoin players, you also need to count the traditional payments giants.

Reddit got hit a little unfairly this round—because Google search traffic started fluctuating, and the market immediately treated it as a major bearish catalyst for Reddit. The logic isn’t hard to follow: a big portion of Reddit’s visibility comes from Google referrals, and it had just signed a major deal with Google for AI data licensing. So when Google search sneezes, the narrative around Reddit’s traffic catches a cold too. But I think there’s a more thought-provoking point here: it suggests that the so-called “AI data goldmine” companies’ lifeline is still actually in the hands of the traffic entry points, and their moat isn’t as deep as everyone is hyping. Conversely, $GOOGLB is the upstream in this food chain—it acts as both the distributor of traffic and the buyer of AI data. When fluctuations transmit to others, it stays firmly in a position to fish from the calm water. In the short term, Reddit’s sentiment will be tougher to deal with, but what really needs watching is the overall gatekeeper variable: Google’s share of search. That’s the key factor that moves a whole range of content stocks.
#美股财报 #Google

July’s Bitcoin rallied with a solid bullish candle, and once again a historical pattern proved itself correct; but now some analysts are watching August, saying that in the past August often moves the opposite way and is prone to pullbacks. I’ve always treated this “monthly seasonality” as reference material rather than a commandment—there are only a few years of samples, so the evidence is limited.

What truly makes me cautious isn’t the month, but the current rebound’s volume: $BTC . This July move looks more like an effect of pushing existing liquidity rather than fresh inflows. Spot Bitcoin ETFs haven’t seen net inflows expand in parallel, which suggests there isn’t as much “incremental ammunition” as people might hope. With this kind of structure, if August coincides with volatility in the US stock market or unexpectedly surprising macro data, a pullback can indeed be amplified. My approach is not to predict up or down, but to leave some room in position sizing—seasonality can help you stay more alert, but using it as a trading basis would be putting the cart before the horse.

On the same set of Amazon earnings, Morgan Stanley reached a “verdict” but was pointed out to have blind spots—this perspective is more interesting than just looking at the earnings report. Big banks’ rating models often focus on obvious growth drivers like cloud and advertising, and can easily miss the “dark line” of capital expenditures. For Amazon, the money it pours into AI and logistics infrastructure means that in the short term it has to consume free cash flow. The market currently loves revenue that beats expectations, but once people start calculating the ROI someday, the payback period for this investment will become a new point of contention. For the ticket with number $AMZNB , my stance is: don’t just trust that side’s target price—its model often lags behind the real narrative shift. The earnings report may look good, but the more optimistic the analysts’ consensus expectations are, the more you should stay alert to whether any cost items have been overlooked. Research notes can be used as a reference, but blind spots are exactly the things they won’t proactively tell you about.
#美股财报 #AI chips

Before the earnings report on August 4, the market has turned its attention to AMD’s server CPU line. The logic is not complicated: over the past two years, everyone has been focused on GPUs fighting for AI computing power, while overlooking the fact that EPYC’s market share in the data center has been steadily taking bites out of Intel’s business. The real point to watch is whether data center revenue can keep up its high year-over-year growth — if both the server CPU and MI series GPU engines start running together, then the market’s previous valuation based only on "GPU catching up to Nvidia" would be too conservative. On the other hand, expectations are already pretty high, so even a slightly weaker earnings report could become a case of good news already priced in. On the other side, $INTCB is currently being crushed, and every extra bit of share AMD takes is a double narrative. $AMDB During an earnings week like this, volatility will be amplified, and those with light positions may want to keep some bullets in reserve and act after the numbers are out.

#美股财报 #AI chip

Someone dug up a detail: SoftBank’s roughly $2 billion move has been interpreted as “the reason to buy Arm now.” The logic is that Arm’s architecture licensing model is virtually a lock-in this round of AI chips—whether it’s Nvidia or everyone’s in-house chips, a lot of the underlying work can’t avoid its instruction set; it’s like the person selling the shovels at the very top of the supply chain. I agree with this: Arm’s business model is indeed more resilient across cycles than simply making chips. But I have to pour some cold water on it: the current valuation of $ARMB has already priced in a great deal of imagination in advance. The P/E ratio is absurdly high. Once AI capex slows down, it will be among the most elastic—so it can rally fiercely and fall just as hard. Compared with $NVDAB , which at least has solid, tangible revenue backing it up, Arm is more like a pure expectation-driven story. If you want to get on board, I’d rather wait for a pullback than chase at this level. The story is a good story, but the price has to match.
#AI芯片 #US stock earnings report

BNB Chain is reportedly going to sue a former employee—this whole thing is kind of surreal. The guy used a wallet shown in a tutorial to send money into a memecoin called ASTEROID. He then spent $10,000 to buy up nearly 80% of the supply, and in turn dumped it to cash out about 638,000. The on-chain data is right there, and the returns were over 60x. Setting aside the matter of manners, what I care about more is the official stance: being willing to go through legal procedures for a “shitcoin” wallet featured in a tutorial suggests that the ecosystem is currently very sensitive to the reputational risks brought by the wild, unrestrained growth of memecoins. This is totally different from last year’s “just launch it, just trade it” kind of atmosphere—on-chain compliance and internal risk controls are clearly tightening. This is good for the BNB ecosystem itself—at least it signals that they intend to manage things. $BNB Over the past two years, the main-chain narrative has largely relied on trust in whether they can “handle their own backyard.” Don’t underestimate how events like this can affect long-term valuation.

#BNBChain #memecoin