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JUST IN: $ZEC activates its Ironwood (NU6.3) network upgrade tomorrow around block 3,428,143, introducing a new shielded pool, quantum-recoverability features, and stronger supply verification via the turnstile mechanism.The derivatives market is pricing in a low-volatility tail rather than a directional breakout.
The core disagreement in the original text is whether U.S. stocks and ETFs can support short-term consolidation, but the variable most likely to invalidate this positioning is the leverage and basis structure already accumulated in the derivatives market.
On the factual side, the original text mentioned that if US stocks remain stable and ETFs are not net selling, the market may continue to consolidate; Once the ETF turns to net selling or U.S. stocks weaken, the correction will begin. However, the original text does not mention that the current BTC perpetual contract funding rate has returned to a neutral low level, and the futures basis remains in the 5%-8% annualized range, reflecting that leveraged long positions have been partially unwinded, though not to the point of extreme squeeze.
Structural changes:
- The funding rate is in the 0.005%-0.01% range, meaning the cost of adding a long position is very low, but it does not create an urgent short squeeze.
- Futures basis fluctuates in a narrow range, indicating that arbitrageurs have not entered in large quantities and the market has not entered a deep premium state.
- Implied volatility quickly fell after the recent option expiration, short-term call option premiums disappeared, and the market priced in zero directional rallies.
Pricing impact:
- If US stocks rise and ETFs see net inflows, low funding rates may force short covering, pushing BTC upward to test resistance, but ETH needs to ramp up to confirm strength.
- If U.S. stocks fall or ETFs turn into net outflows, the current low volatility structure means the downside may be faster than the upside, as there is a lack of sufficient long protection for positions, and liquidation risk is concentrated below.
Bullish path: funding rates remain low with no basis widening; after short accumulation, spot buying triggers a short squeeze, and stabilization of the ETH/BTC exchange rate provides support for altcoins. Condition: U.S. stocks must not experience a single-day drop of more than 2%.
Bearish risk: Funding rates remain low but prices fail to rebound, indicating that buyers' strength is exhausted; If the basis narrows below 3%, it would mean arbitrageurs are exiting, and spot selling pressure may accelerate. Condition: U.S. stocks weaken for two consecutive days or ETFs see a single-day net outflow of over $200 million.
The biggest contradiction in the current market is the coexistence of low volatility and low leverage, which could be both the starting point of a new trend and a precursor to liquidity traps. Conclusion: The derivative structure has not yet given a directional signal; we are waiting for the basis or funding rate to reach an extreme value.
Risk warning: If macro events disrupt the low volatility pattern, existing positions may become invalid instantly.
$BTC $ETHJUST IN: BNY Mellon’s Belgian unit and BitPay are among 15 new CASPs added to ESMA’s MiCA register.
Bringing the total to 309 licensed providers.
$BNB In 2000, the dot-com bubble burst.
Hundreds and thousands of websites wiped out overnight, and media and investors almost unanimously said: the internet is a scam.
Back then, the internet was just about searching, shopping, and sending emails
All of this is boring, and there's no future in sight.
At the most pessimistic times, two applications were already taking shape and had huge narrative potential:
Google and Amazon.
Google's advertising model has given countless struggling small websites sudden income, and for the first time, the content ecosystem truly flourished;
Amazon has integrated payments, logistics, and recommendation systems one by one
So as long as one or two applications with real demand and can generate self-sustaining success run smoothly, they act like engines, driving the entire ecosystem into motion.
Many people today look at blockchain with the same thought: no innovation, no future.
The reason is similar: the ones that truly break out and can generate self-sustaining are stablecoins and RWAs.
So a group of people turned around and started speculating on AI, leaving the crypto world.
But from another perspective: once RWA is truly implemented and scaled up, it will grow into things we can't even imagine today, much like Google and Amazon back in the day.
RWA is the only narrative in traditional finance where real money is willing to enter, led by names like BlackRock, Franklin, Circle, Ondo, and WisdomTree.
Our current focus should be on RWA, watching whether it is rapidly expanding and finding areas that can truly capture value, such as ETH, DeFi, etc.—there is plenty of time to pay attention to
A truly revolutionary innovation, with dividends lasting more than ten years.
As long as he stayed at the table, he never lacked opportunities to turn things around.
After all, the first-generation iPhone was released in 2007, and 20 years later, Apple's stock price is still at new highs
And Amazon, Google, and others;$BTC завершает июль на сильной ноте.
Но дальше начинается сезон, к которому я бы относилась осторожнее.
Исторически август и сентябрь часто проходят медленнее:
меньше объёмов,
ниже ликвидность,
меньше сильных импульсов.
А настоящая активность обычно начинает возвращаться уже в октябре.
Поэтому я бы не стала удивляться, если после сильного июля рынок сначала решит немного охладиться.
Иногда лучший ход — не торговать каждое движение. 7·27 CORE Observation: Again Criticizing Project Team's Lack of Vision? I'm dying laughing
After glancing at the candlestick chart this afternoon, CORE put on another "hero on the scene, instantly turning into a bear" drama. During the morning surge in the group, how many people shouted "This time is different"—what happened? By 4 PM, intraday volatility had dropped to 12%+, with turnover rates more than tripled. The comment section was all — "Project team, are you even human?" "Has the perspective been eaten by a dog?"
I'm really impressed—do you really not understand or are you pretending not to?
I put my words straight here: If I were in that seat, I'd smash it even harder than they did—so hard that they called me the Ancestor.
Why? Think about it: how much did CORE's early chips cost? It's like you go out and pick up a piece of scrap paper, only to turn around and find it can be sold for money. Zero-cost gadgets—if you sell a million per second, that's pure profit. You sit in front of your computer, looking at the countless zeros in your wallet, and tell me you want to "protect your disk"? Protecting your ass, if your fingers don't behave, you want to "sell" them—that's human nature.
Even more funnier, the comment section is full of smart people teaching project teams how to do things: "Have long-termism" and "Market value management." I just want to ask—if the project team doesn't dump their tokens, what will they use to support those programmers? What do you use to pay for server electricity? The bit of liquidity you slacking off on the DEX today was all held up by USDT earned from selling coins. Do you really think you can generate power from dreams?
Today's on-chain data is even more heartbreaking: CORE's total network TVL has shrunk by nearly 8 points compared to last week, and the depth of several pools is indeed becoming shallower. At times like this, if the project team doesn't sell some coins for rations, do they really expect the community to shout "666" and pay development salaries?
So stop complaining, it's really unnecessary.
Selling out is not about lacking vision; it's the project's only "business model." Zero-cost chips are exchanged for real money, using real money to support the team, then continuing to invest after the team is finished—a closed loop, perfect, a business genius.
An on-chain record I just dug up this afternoon shows that the project addresses allegedly fed another 1.5 million CORE to the exchange. Someone tweeted that this was "allocation of ecological construction funds." Mixing my foot, isn't this basically telling you: I've withdrawn again, do as you please.
To put it bluntly—in this game, the project team is responsible for "building" (building their own wallet), while retail investors are responsible for "structure" (being forced to build their own budget). If you can't even figure this out, then today's 12% amplitude can be considered as paying tuition.
After all, they have zero cost—no matter how much you spend, it's a win. Every coin you catch is helping the project team "build" the next luxurious lunch.
Vision? Can vision be enough to make a living? Today's move is called "showing you the answer through action."BTC 跌破 6.2，散戶還有沒有機會
恐懼貪婪指數 22，極度恐懼
歷次 BTC 大跌都伴隨 3 個結構性信號。
恐懼貪婪指數 22。極度恐懼，歷次 < 25 的日子未來 30 天平均回報 +12%。
交易所淨流入連續 7 天正值。恐慌拋售正在發生，籌碼從散戶流向交易所。
已實現損失 35 億美元。虧損賣出的籌碼被市場吸收。
組合配置永遠比單個標的判斷重要。
組合配置永遠比單個標的判斷重要。
📌 把恐慌拆成幾個可以驗證的問題
第一個問題是誰在賣：短期投機者、礦工、基金，還是長期持有者。第二個問題是賣壓有沒有被現貨買盤吸收。第三個問題是槓桿清洗之後，成交量和波動是否開始收斂。只有把這三個問題分開，才不會把情緒誤認成趨勢。
🧭 我會怎樣跟蹤
我會記錄交易所淨流入、未平倉量、現貨成交量和長期持有者供應的方向，再和價格反應對照。如果價格跌但賣壓逐步減弱，市場可能進入整理；如果價格反彈但槓桿重新快速堆積，則仍然要防止二次清算。
⚠️ 風險提醒
恐懼指數只能描述情緒，不能預測下一根 K 線。歷史回報也不保證重演，任何分批計劃都要先確定自己能承受最壞情況。
🎯 最後的執行框架
不在急跌中追空，也不因為一根反彈就梭哈。把資金分成觀察倉、確認倉和備用現金，等信號改善再逐步調整。
我會把這個話題拆成三層來看。第一層是可以直接觀察的數據，先記錄數值、時間和方向，避免只截一張圖就下結論；第二層是市場如何反應，數據改善但價格不動，和數據轉弱而價格仍然上漲，含義完全不同；第三層才是自己的操作，先寫下最大可承受損失，再決定是否需要調整倉位。這個順序看起來慢，但能減少被單一標題帶著走。
對我來說，賣方結構、槓桿清算和現貨承接要放在同一張表裡對照。每次更新只改變有新證據的部分，不能因為一個數字變化就把整個判斷翻轉。若三個觀察方向彼此矛盾，我會把結論降級為「等待確認」，而不是硬湊出一個看多或看空的故事。市場中最容易被忽略的成本，是過早確定之後不願意承認假設已經失效。
執行上我會先用觀察倉測試，等成交量、價格和基本面至少有兩項同向，再考慮增加曝險；若波動擴大或流動性變薄，則先縮小倉位。任何回測、歷史案例或 KOL 觀點都只能用來建立假設，不能代替當下的風險檢查。這篇內容是我的研究筆記，不是保證收益的買賣指令。
我會在下一次更新時重新檢查四件事：消息是不是仍然有效、價格反應有沒有確認、流動性是否足以執行，以及原本的風險假設有沒有被破壞。若只是社交媒體熱度上升，卻看不到成交量或資金的配合，我會把它當作待觀察訊號；若數據方向改變，也會同步修改原先的劇本，而不是為了維持面子繼續持有。
這種做法的好處是把「看法」和「行動」分開。看法可以保留多個可能性，行動則必須有清楚的觸發條件。對短線交易，我會設定時間上限；對中長線配置，我會檢查基本面和資金成本。無論最後結果如何，都把進場理由、退出理由和實際滑點記錄下來，下一次才有真正可以改進的復盤材料。
如果資料來源之間互相矛盾，我會先標記衝突，等原始公告或下一個時間點確認，不用社交媒體的情緒替代證據。這也意味著有些時候最好的操作是空倉等待，因為沒有交易本身也是對不確定性的管理。🚨 The exchange era might be coming to an end.
BitMEX just announced it’s shutting down in September.
Think about that for a second.
11 years in the game.
$2 trillion in volume on a single contract.
And now it’s reportedly doing around $400,000 a day.
The decline didn’t happen overnight.
They tried to sell the business first. A bank was hired, with a target valuation of around $1 billion — but no buyer stepped in.
Then, just 3 weeks before the shutdown announcement, the CEO, CFO, and head of growth all resigned.
$BMEX dropped 90%.
And BitMEX isn’t alone.
Coinbase, Kraken, Gemini, and Crypto.com have all cut staff this year.
But while exchanges are shrinking, something bigger is happening underneath the surface.
17 banks — including JPMorgan, Citi, and Bank of America — are building their own onchain settlement network.
The exchange was supposed to be the bridge.
But now, everyone is starting to build their own roads.
Meanwhile, Hyperliquid generated $161 million in revenue in Q1 — the highest of any DeFi protocol.
The old exchange model was a workaround for broken infrastructure.
Now the infrastructure is getting better.
And when the rails improve, the middlemen start getting squeezed. 🚨
#DailyOrbit 兄弟们！不对劲，非常不对劲！
这波我要空。
以太$ETH 的盘面看着生机盎然。但流动性分布却揭秘了一个更加严苛的事实。
动态群一边唱多一边唱空，分布了两个极端。
你们看这盘口，从1.965一路排下来几十个档位全是挂单，密密麻麻跟钢筋笼子一样。
但总挂单量不足25个ETH，几万美元就能把价格推上去或者砸下来，这种浅盘口意味着庄家随便一笔单子就能画K线，全是虚的。
我翻了半天群聊，发现几个关键信号：
第一，机构在跑。以太坊现货ETF本周净流出1.61亿美元，连续4周净流出，贝莱德7月24日单日就撤了5280万美元。
机构都在兑现离场，散户还在往里冲，这不就是接盘？
第二，散户和机构高度一致看多。数据显示散户70.6%做多，顶级交易者67.1%做多。
搬了十年砖，我最懂一个道理——工地上所有人都觉得今天能提前下班的时候，往往就是要加班到十二点的时候。
币圈也一样，所有人一致看多，往往就是反向行情要来的信号。
第三，技术面空头信号已经出来了。
4小时MACD死叉延续，柱状图还在零轴下方扩张。
1小时RSI虽然到了39接近超卖，但超卖不等于止跌，没有买盘配合的弱势超卖，反而容易继续阴跌。
第四，宏观也不支持。美联储7月加息概率36.3%，9月加息概率55.2%，美债收益率高位压制风险资产，美股科技巨头刚遭遇一轮抛售。
大环境都不支持ETH继续往上冲。
我不否认ETH长期有价值，Vitalik刚发布了"Lean Ethereum"路线图，未来三到四年要重构图谱。
但那是长期的事，短期该回调还是要回调。
这一单，我选空。搬砖人什么都不硬头最硬，信自己，干！
$BTC
$SHIB
#美联储周四凌晨公布利率决议 #美军暂停对伊空袭，国际油价开盘大幅下跌
美伊熟悉的剧本又来了。
战争升级，市场恐慌，油价暴涨，一出现停火信号，资金立刻开始提前庆祝，原油跳水，风险资产反弹。
今天布伦特原油$BZ 大跌，比特币重新站上65000美元，纳指期货同步走强。市场风向又开始走向和平预期。
但我个人对这次停火并不乐观。
特朗普的风格都知道，喜欢用极限施压制造谈判筹码。前面强硬放话、军事施压，随后释放缓和信号，这种打一棒再谈判的节奏已经不是第一次出现。
可伊朗并不是一个会轻易低头的对手。
伊朗方面一直保持强硬态度，不会因为短暂停火就接受所有条件。对于他们来说，这不仅是一场军事冲突，更是一场地区影响力和战略安全的博弈。
所以现在更像是双方暂时按下暂停键，而不是真正握手言和。
历史告诉我们，中东局势最大的风险，就是每一次看似缓和之后，都可能因为一个意外重新升级。
油价今天跌，是资金撤走战争溢价，$BTC 上涨，也是风险情绪修复。但如果后续谈判破裂，或者冲突再次升温，市场可能会重新定价。
我更倾向认为，这波$BTC 上涨属于情绪反弹，而不是大趋势反转。
以上仅个人见解，不构成任何投资建议！① SanDisk (SNDK.US) Pre-market Performance On July 27, before the US market opened, SanDisk rose over 4%. The year-to-date increase reached as high as 505.17%. The pre-market price was approximately $1,436.56. Background Analysis Last Friday (July 24), storage chip stocks experienced a sharp sell-off, with SanDisk plunging more than 10%. The pre-market rebound on July 27 is a technical recovery reversing last Friday's collective steep decline. Drivers of the rise include: the US and Iran pausing mutual attacks, a sharp drop in oil prices improving risk appetite; China's DRAM giant ChangXin Memory Technologies soaring 465.82% on its first day of listing, boosting market reassessment of DRAM market conditions and AI storage demand, with related sentiment spilling over to US storage stocks; South Korea's storage leaders (Samsung, SK Hynix) reaching a $950 billion semiconductor cooperation deal with US tech giants. On the storage industry fundamentals, TrendForce data shows that the contract price for server DRAM in Q3 2026 is expected to increase 13%–18% compared to Q2. Tianfeng Securities points out that the current improvement in storage market conditions results from a combination of changes in demand structure, more rational supply expansion, and inventory cycle recovery across the industry chain. Summary: SanDisk shows a strong pre-market rebound but caution is advised regarding the technical nature of the rebound following last Friday's plunge and the debate over whether the storage industry cycle is nearing its peak. ② SK Hynix (US ADR: SKHY.US) Pre-market Performance On July 27, before the US market opened, SK Hynix rose nearly 6%. The pre-market price was about $154.57. The year-to-date increase is approximately 3.74%. $SOL is still holding the key support of 74-75.
My plan here is pretty simple.
If the price breaks through the descending trend line, the next target is 83.
If $SOL consolidates above 83, I will look at a movement towards 98-100.
But if the support of 74-75 does not hold, I will not catch the falling knife.
In this case, the next zone where I would look for the entrance again is around 67-60.
As long as 74-75 holds, the bulls still have a chance to continue moving. $ZIL 的盘口静得能听见针落。据OKX实时数据，现价报0.0023美元，24小时跌幅4.64%，日内高低点分别戳在0.0025和0.0023，振幅标记为0.0%，成交额更是降到零附近。这几乎不是震荡，而是一种定格，像芯片电路在某个逻辑门前凝固住了电流。代币Logo边缘那些象征分片网络的切面，此刻看起来更像封存的晶圆，只差一次脉冲就能重新激活。 成交量归零，往往是主力最诚实的坦白。多数散户盯着跌幅恐慌，却看不到这种极致缩量根本不是抛压疯狂，而是浮筹已经彻底枯竭。$ZIL 从历史高位滑落至今，该割肉的早就割了，剩下的要么是深度套牢装死的地址，要么是成本低到骨子里的早期筹码。当买卖盘双向稀疏到几近真空，价格只需轻飘飘一笔小单就能打出4.64%的跌幅，这恰恰证明下方承接稀薄，但同时也意味着上方压盘并不真实。没有量能配合的阴线，在技术派眼里是典型的散户陷阱，空头用最小的代价制造恐慌，诱使最后一批持仓者交出带血筹码。 切换到波浪视角，$ZIL 周线级别的五浪下跌结构已经接近衰竭。第三浪主跌段由0.0045一带崩落，第五浪��探至当前区域时，跌速明显放缓，与第一浪形成斐波那契时间对称。若取上一轮上升行情的起点0.0018至高点0.0062拉出黄金分割，0.0023恰好踩在0.786的深度回调位上。这个位置在斐波那契体系中被称为“最后防线”，一旦守稳，反弹空间通常指向0.618即0.0035附近，极端情况可瞄准0.5水位0.0040。而眼下价格贴着0.786反复碾磨，日线RSI却悄然走出底背离，价格创出更低低点，动能指标却拒绝跟随，绿柱收缩得极紧，随时可能弹开。 这种量价与动能的背离组合，在OKX的盘面上经常复刻同一套剧本。成交量萎缩到极致，好比气体压缩到临界体积，紧接着的爆发往往没有中间态。散户盯着委卖档口稀疏的挂单以为是无人问津，却看不见链上小额试探性买入地址在缓慢爬升。主力在等一个契机，可能是生态内分片吞吐量突破，也可能是整体市场情绪回暖，届时只需一把小资金点火，流动性真空就会瞬间翻转为轧空行情。$ZIL 的分片架构本身就像芯片里并行运算的晶体管，只要底层指令恢复通断，每一片网络都会重新开始确认交易，速度感会抢在犹豫之前。 站在当下这个平静得异常的时间节点，技术面给出的信号比任何消息都直白：止损应该设在0.0018下方，那是斐波那契1.0的回撤极限，也���前一轮行情的起点支撑。只要$ZIL 不收破那道防线，日线级别的底部结构就依然成立。振幅0.0%不是死亡，是沉睡。芯片通电前的一秒，也总是最安静的一秒。 一个国家资本市场追捧什么，就折射出它的产业底色
美国资本愿意重金押注前沿科技，赌下一代技术话语权，韩国直接把国运绑定半导体存储，芯片就是它的工业根基。
放在A股，过去很长时间市值天花板属于贵州茅台，代表消费时代极致的确定性，现金流稳定，而长鑫科技上市首日市值反超茅台，这是A股硬科技制造第一次站上市值之巅。
不过这份高市值，叠加了AI带动存储涨价的行业景气，还有新股流通筹码稀缺带来的情绪溢价，DRAM是典型强周期行业，行情好利润暴增，供给过剩就可能再度陷入亏损，高端技术、上游供应链短板依旧客观存在。
但无论怎么样，Ai 赛道，要干，得干，得猛攻！
新王登基已经告诉你答案了这周比特币生态的叙事主线，其实就是在两条平行线上拉扯：一边是BIP-110引发的共识规则之争，另一边是Alkanes生态的金融工具加速落地。BIP-110的争议已经不再只是技术讨论，而是上升到了“是否该把垃圾交易过滤写进共识层”的博弈。微策略创始人Saylor、早期贡献者Adam3us公开反对，开发者Murchandamus和Peter Todd持续指出实现漏洞，而全球最大算力矿池Foundry发布的矿工指南也显示，支持率仍不足1%。这个数字说明，主力资金和矿工群体目前并不打算让这条提案真正成势，但争议本身已经把市场对“规则变更”的敏感度拉满。🧐
另一边，Alkanes生态的节奏明显更快。SUBFROST的P2P借贷已经上线，用户可自定义金额、利率和期限，彻底绕过资金池和预言机，紧接着frUSD稳定币方案开始预热，计划用USDT和USDC流动性支撑在BTC L1结算。同期FIRE存款已达1210万美元，说明资金热度并未退潮。开发者BitBragi推出的Aries工具补上了AI辅助合约开发的缺口，而CheekyB的一键Mint+Swap则让铸造DIESEL后直接换CKB成为现实，参与门槛进一步降低。Taco Clicker两周后停止产出新TORTILLA，为LP挖矿让路，这些动作都在表明：Alkanes正在从概念走向可操作的金融基础设施。🔥
UniSat和◉RD则在继续拓宽入口和流动性。UniSat修复了Runes和Alkanes混合UTXO的误烧风险，同时开启InSwap S4最高奖励45,000 FB，手机端直接支持SUBFROST。◉RD这边，OMB蓝眼以0.42 BTC成交，LOT批量报价和Ordinals捐款入口上线，Ord Hub每日挖矿让交易和积分玩法并行。比特币资产市场RareBtcAssets也上线非托管交易，支持Ordinals、Counterparty和Stamps互换。底层方面，Bitcoin Core补发v29.4和v30.3修复关键问题，Strategy、BlackRock、Coinbase等9家机构成立安全联盟投入1500万美元做抗量子研究，Drivechain预告eCash 8月23日硬分叉，BIP-361抗量子迁移原型出现。闪电网络Wavelength测试版让AI Agent接入非托管BTC支付，隐私暗池原型也首次亮相。最后，曾占全网18%算力的矿池Poolin申请Chapter 11破产，负债1.73亿美元，矿业旧账被翻出，但行情并未因此波动。💥
整体来看，这周不算热，但该动的都在动。BIP-110的争议尚未形成实质威胁，而Alkanes的借贷、稳定币、AI工具正在一步步把BTC生态的金融层做实。UniSat和◉RD继续扩入口，抗量子和隐私工具也在补课。这条链上的叙事，正在从“炒概念”转向“建基础设施”。🚀
#Bitcoin #Ordinals #Runes #BRC20 #AlkanesMarket status as of: U.S. stock market close on July 24, 2026. Valuations, leverage, surveys, and macro indicators are used according to their latest published periods. Conclusion first: The final comprehensive bubble risk score for this period is 7.7 / 10, indicating a medium-high risk, with the bubble phase still judged to be in the mid-to-late stage. Compared to the previous report on July 17, the total score remains the same, but the risk structure has worsened: sentiment has shifted from greed to fear, reducing short-term overheating from chasing gains; meanwhile, SPY, QQQ, and semiconductor ETFs have fallen below key moving averages, with technical risks clearly rising. This is not a "valuation bubble burst," nor is it a simple healthy rotation. More accurately, the market is undergoing a stress test: • Extremely high valuations have not significantly declined; • AI earnings and capital expenditures still have fundamental support; • There is a clear divergence in AI hardware, cloud platforms, and storage chains; • Equal-weighted indices remain relatively resilient, but on July 24, the number of declining and new low stocks on the NYSE dominated; • Credit spreads remain very tight, with no confirmation of systemic risk. Therefore, the current greatest danger is not "all U.S. stocks crashing together," but rather: The trend of high-valuation AI assets is beginning to weaken, while leverage remains high.  Special analysis on the AI bubble One-sentence judgment AI bubble special score: 8.5 / 10, phase judged as "structural bubble." Slightly down from the previous period but still in the high-risk zone. The risk has slightly decreased, not because AI assets have become cheaper, but because crowded trades have already undergone the first round of deleveraging. However, valuation, earnings concentration, and CapI am still in the process of understanding Walsh. After some thought over the weekend, I believe there is a high probability of a rate hike this time.
1. To establish personal credibility
2. To demonstrate an independent Federal Reserve
3. To pay tribute to Greenspan (the market won't know what we're thinking)
The downside is that the market currently prices in only a 35% chance of a rate hike, including the belief that this will make the market fully trust Walsh's determination to reform.
So if the market rebounds on Monday or Tuesday, I think the risk on Wednesday should be taken into account. You can reduce positions proactively or passively. The Federal Reserve's impact is comprehensive, for example on the S&P. There's no need to short or liquidate everything; we are not entering a rate hike cycle, and AI is still moving forward. #长鑫科技上市，全球存储竞争添变量 $BTC #长鑫科技上市，全球存储竞争添变量
The biggest recent event in the tech world: ChangXin Memory Technologies officially listed on the STAR Market. As the only domestic company to achieve independent mass production of DRAM and the world's fourth-largest memory manufacturer, this IPO is not just about corporate financing and capacity expansion. It directly rewrites the long-standing oligopoly in the global memory chip market. Meanwhile, this change in the industry chain will indirectly impact the crypto market. Today, I will explain the underlying logic clearly.
1. Fundamental changes in the industry landscape
The DRAM market has long been monopolized by Samsung, SK Hynix, and Micron.
These three giants control the vast majority of production capacity and skillfully adjust supply according to cycles: cutting production and bearing losses during downturns, prioritizing advanced capacity for high-margin HBM during the AI boom, squeezing general DDR capacity, artificially creating supply-demand tightness, and driving up memory prices to harvest profits.
ChangXin has raised tens of billions in funding, focusing on capacity expansion and DDR5 iteration, with a long-term goal to challenge high-end HBM memory.
In simple terms: the market shifts from a tripartite stalemate to a four-player competition.
Two major mid-to-long-term changes:
1. The overseas three can no longer arbitrarily control production and raise prices; the price ceiling for general memory's price cycles will be lowered;
2. Domestic memory production will continue to increase, diversifying the supply chain for computing hardware and reducing the single supply chain risk for global tech companies.
However, realistically: in the short term, ChangXin's capacity and HBM technology still lag behind the Korean and American giants. Large-scale release of incremental capacity will take at least 1–2 years, so it won't immediately break the current memory shortage market. The impact is a mid-to-long-term variable.
2. Splitting the positives and negatives
✅ Positive aspects
1. The long-term demand logic for AI computing power remains unchanged. AI servers require several times the memory of traditional servers; HBM remains in short supply, and the memory sector's favorable trend has not reversed;
2. Expectations for global computing power supply chain autonomy are heating up, with the market continuing to bet on long-term capital expenditure in computing hardware;
3. Domestic semiconductor capacity expansion boosts expectations for upstream equipment and materials supply chains, supporting risk appetite in the tech sector.
❌ Potential negatives
1. Capital is starting to price in expectations of future capacity oversupply. The market worries that multiple new memory capacities will come online concentrated in 2027–2028, signaling the peak of this memory super cycle;
2. Valuations of overseas memory giants are under pressure, which may cause volatility in the US semiconductor sector and indirectly suppress risk asset sentiment;
3. The market will differentiate: intensified competition in general memory, while high-end HBM remains scarce, leading to clear internal divergence within the sector.
3. Key: How this transmits to the Bitcoin market
Many think chip news is unrelated to BTC, but capital risk appetite is interconnected.
1. Positive transmission scenario
The market interprets this as long-term expansion of the computing power industry chain and sustained growth in global tech capital expenditure, warming sentiment in growth sectors, and improved risk appetite, which is favorable for Bitcoin to test resistance levels upward amid volatility.
2. Negative transmission scenario
Capital amplifies concerns about "future capacity oversupply," causing US memory and semiconductor sectors to fall under pressure, triggering a collective pullback in tech growth stocks, a temporary rise in risk aversion, and dragging BTC down in tandem.
My key view: This is a mid-to-long-term industry narrative that won't cause BTC to surge or crash unilaterally but may intensify short-term volatility spikes, unlikely to change the existing large-range structure.
4. Bitcoin short-term trading strategy
Currently, BTC still maintains a range-bound pattern with core support and resistance unchanged.
Support range: 64600–64000
Resistance range: 66000–66800
1. Spot traders: Do not chase the rally based on this news. In a volatile market, buy dips near support in batches, avoid chasing near resistance, hold long-term base positions, and reduce frequent trading to save on fees;
2. Futures traders: News can trigger quick short-term swings; avoid heavy one-sided bets. Focus on selling high and buying low within the range. Go long only after a valid breakout above resistance; go short after a valid breakdown below support. Strictly control leverage and avoid holding losing positions;
3. Key linked signals to watch: The performance of US memory and semiconductor sectors. If they continue to weaken, be alert to the risk of a collective pullback in risk assets.🚨 Big Tech earnings sent a clear message: strong results alone aren't enough anymore.
Alphabet reported an impressive quarter, generating $119.8B in Q2 revenue with continued strength from Google Cloud. Even so, $GOOGL slipped more than 4% after hours.
The market wasn't disappointed by the numbers—it was focused on what comes next.
Alphabet increased its 2026 capital expenditure forecast to $195B–$205B, while free cash flow weakened. Investors are becoming more selective, weighing not only AI growth but also the cost of sustaining it.
Across Google, Microsoft, Meta, and Amazon, projected capital spending for 2026 is expected to reach roughly $725B, highlighting how aggressively the AI race is accelerating.
Meanwhile, Tesla took a different approach.
The company continues to hold 11,509 BTC, maintaining the same position it has held since 2022. Despite recording a quarterly loss related to Bitcoin's previous decline, Tesla neither increased nor reduced its holdings.
Why this matters for crypto:
🔹 Spot Bitcoin ETFs continue attracting institutional demand.
🔹 Crypto remains closely tied to the performance of major technology stocks, making earnings guidance increasingly important for digital asset sentiment.
🔹 Upcoming reports from Microsoft, Meta, and Amazon could influence both equity and crypto markets.
One key difference is that crypto markets never close.
With tokenized US equities available for 24/7 trading on supported platforms, traders can continue reacting to earnings and macro developments even when traditional stock exchanges are closed.
The next round of Big Tech guidance may play a bigger role in market direction than the earnings headlines themselves.
#CXMTMemoryIPO #FOMCRateWatch #DailyOrbit Recently, Changxin Technology surged on its first day of listing, sparking renewed market attention on the domestic storage industry chain.
The storage chip sector has long been a crucial part of global semiconductor competition.
On one hand, the demand for AI computing power continues to grow, placing higher requirements on high-performance storage and data processing capabilities;
On the other hand, the domestic storage industry is steadily advancing, and the market is beginning to reassess the development potential of the domestic semiconductor industry chain.
The overseas market is also paying attention to this main theme.
In the US stock market, storage-related companies like Micron (MU) and SK Hynix have recently attracted continuous capital interest, as the global storage industry undergoes a new cycle of change.
For players who follow both tech stocks and the crypto market, cross-market observation is increasingly necessary.
Because often, capital flows do not stay confined to a single market.
AI, semiconductors, computing power, on-chain infrastructure—these areas all reflect the market’s expectations for the future digital economy.
Lately, when watching these tech trends, I tend to observe them together on AVE.
Besides on-chain assets, AVE also helps track popular tech sectors and market trends without the need to switch repeatedly between multiple tools.
Observing industry chain targets like Changxin Technology’s listing, Micron (MU), and SK Hynix together makes it easier to understand where capital is focusing.
In the future AI era, computing power is just the foundation; storage is also a key link.
Do you think storage will become the next major theme after computing power in the upcoming tech cycle?
#长鑫科技 #存储芯片 #半导体 #AI$382K of $IMX just landed on Binance and Gate in the last hour. price hasn't blinked, still flat over 4h, still flat on the day.
almost all of it came from one wallet, 0x8ce8…cdde, dropping $380K straight onto Gate. that's not a hundred small deposits, that's one player moving real size.
coins on exchanges can get sold, doesn't mean they will. could be OTC, could be a market maker repositioning. chart's dead quiet right now so whatever this is, the market hasn't priced it in yet.
go trace that wallet yourself, it's sitting right there in the thread.$23.9M of $LINK came off exchanges this week across 12 venues while price just sat there, +4.7%. size like that usually shows on the chart. it didn't.
traced it: a wallet dormant for 5 months, funded by Binance 160d ago, just pulled $10.8M off Binance. we've seen it move before, a smaller $1.7M withdrawal in July that barely moved price either. separately, Wintermute pulled $6.6M off Binance too, also with a smaller prior withdrawal on record.
two different players, same direction, same silence from the chart. accumulation until proven otherwise. NFA 👀#财报观察员：Can Microsoft, Meta, and Amazon stabilize the AI narrative?
Brothers, this week is the real big test.
Google and Tesla already reported last week: one had explosive cloud business but scary capital expenditures, the other hit delivery highs but profits collapsed. The market reaction was direct—two earnings beats, two after-hours plunges.
This week, three even tougher players take the stage.
Microsoft, Meta, and Amazon report Wednesday and Thursday. Their combined capital expenditure this year is expected to approach $725 billion. What does $725 billion mean? It’s higher than the GDP of many countries.
Let’s start with Microsoft.
Market expects revenue around $87.6 billion, up 15% year-over-year, with earnings per share of $4.22. Azure cloud growth is the focus, with 39% growth last quarter. But the core focus this quarter isn’t Azure’s growth rate—it’s the gap between capital expenditure and free cash flow.
Last quarter, Microsoft’s capital expenditure was $37.5 billion, and free cash flow shrank significantly. If capital expenditure keeps rising this quarter, even if Azure growth stays high, the market will still sell off. Google’s precedent is clear: revenue beat but capital expenditure raised, stock fell after hours.
However, Microsoft holds a trump card: $627 billion in commercial remaining performance obligations. The money is on the way, just not booked yet. Whether the market buys this "invest first, harvest later" logic depends on the upcoming earnings call.
Next, Meta.
Market expects revenue of $60.1 billion, up 26.6% year-over-year, with earnings per share of $7.13, slightly down year-over-year. High revenue growth but slight profit decline shows AI spending is clearly visible.
In April, Meta raised its full-year capital expenditure guidance from $115 billion–$135 billion to $125 billion–$145 billion. Market expects Q2 capital expenditure around $33.7 billion. The stock has dropped 24% from its 52-week high.
Meta’s logic differs from Microsoft’s. Its AI investment currently relies mainly on ad monetization. Whether the Llama model and AI recommendation algorithms can sustain continuous ad revenue growth is the biggest question this earnings report must answer. The ad engine is still roaring, but whether the new path of selling computing power can succeed is what the market wants to know.
Finally, Amazon.
Market expects revenue of $196.2 billion, up 17% year-over-year, the fastest growth in five years. AWS is the biggest variable; last quarter AWS grew 28%, with an annualized run rate of $150 billion and a record-high 13.1% profit margin.
But Amazon’s capital expenditure is the most aggressive. The full-year target for 2026 is about $200 billion. KeyBanc predicts it will rise to $331 billion and $356 billion in 2027 and 2028 respectively. Full-year free cash flow may turn negative.
Can AWS growth support $200 billion in capital expenditure? This is the biggest point of contention between bulls and bears.
The common problem for all three is one:
The money has been spent, but where is the return?
Microsoft has $627 billion in backlog orders, Amazon has $464 billion in committed orders. The money is on the books but hasn’t turned into profit yet. Meta lacks this "contract-locked" moat; its AI returns depend entirely on whether advertisers are willing to pay for AI-driven conversion rates.
Moody’s has already spoken, saying "unprecedented AI spending is threatening the credit quality of companies like Amazon, Meta, Alphabet." AI buildout is eroding free cash flow and increasing balance sheet risk.
My judgment on this week’s earnings is simple.
The numbers themselves won’t be bad. The fundamentals of these three companies are solid, and revenue beats are highly probable. But the market isn’t focused on revenue now; it’s watching the pace of capital expenditure growth and the direction of free cash flow.
If any of these three dare to raise capital expenditure guidance at this critical moment, no matter how good the earnings look, the stock will get hammered. If anyone dares to provide a clear timeline for AI investment returns, the market will actually respond positively.
This week’s tech earnings are dense. If Microsoft, Meta, and Amazon all beat expectations and keep capital expenditure under control, risk appetite will rise, and BTC has a chance to move up. If earnings trigger a new round of AI sell-off, BTC will struggle to stay unscathed.
In terms of trading, if you’re short, don’t rush to reverse; wait for a pullback confirmation. If you have no position, don’t chase—let the market move a bit more first.
What do you think about these three earnings this week?
$BTC $ETH $SHIB 1. First Layer: Build the underlying framework to say goodbye to the retail mindset of "predicting the market by bullish or falling" mentality. Understand the three core pricing logics (the three cornerstones of crypto pricing). Traditional stocks look at revenue, profit, and cash flow, but the crypto world is completely different and must be thoroughly mastered: 1. Tokenomics: This is the top valuation core in the crypto space. Key research areas: total supply, circulating supply, team unlock cycles, investor unlocks, treasury funds, miner/node dividends, burn mechanisms, and staking rules. Training method: Obtain any coin, break down the unlock schedule in 5 minutes, and determine the peak selling pressure for the next 1–2 years; The root cause of most altcoin crashes isn't poor market conditions, but large unlocks and dumpings. 2. Token structure: The core basis for market manipulation. On-chain holdings distribution: proportion of holdings by the top 10 major players, cold wallet lock-up ratio on exchanges, existing exchange balances, and whale address movements. Learn to distinguish: highly controlled coins (over 60% of the top 20 addresses), distributed holdings (mainstream BTC/ETH), and highly dispersed tokens of aircoins. 3. Liquidity Tier: Determines the upper limit of price fluctuations and the risk of running away. On-chain TVL, 24-hour trading volume of major exchanges, order book depth, slippage, and cross-chain bridge fund flows. Coins with exhausted liquidity can't rise even on good news, and the negative news causes them to collapse. 2. Thoroughly clarify the underlying drivers of bull and bear cycles (no longer blindly believing in the halving myth) Break down the four rounds of Bitcoin bull and bear cycles, distinguishing between internal cyclical factors and external macro factors: - Internal: block halving, mining yieldsToday's most outrageous market move is neither in the US stock market nor in the crypto space.
After Changxin Memory debuted on the Shanghai market, its stock price surged from the issue price of ¥8.66 to as high as ¥54.65, an increase of over 530%, pushing its market capitalization to about ¥3.65 trillion, surpassing Industrial and Commercial Bank of China to become the highest-valued listed company in China.
How absurd is this increase?
Based on the issue price, Changxin Memory was valued at about ¥579 billion. In less than a day after listing, the market added roughly ¥3 trillion in valuation.
The company's fundamentals do have a story.
Changxin Memory is the world's fourth-largest DRAM manufacturer, with a market share of about 7.7% in 2025; driven by price increases in AI servers and memory chips, the company's revenue in Q1 2026 grew approximately 719% year-over-year. This IPO raised about ¥57.9 billion, making it the largest IPO in Asia this year.
But the 530% surge clearly isn't just about trading performance.
At the start of this listing, only about 6.73% of shares were freely tradable, meaning there was very little available stock to buy and sell. Large amounts of capital competing for a small float can easily push prices to extreme levels. The first-day trading volume even reached about ¥122 billion.
This is why Changxin Memory's rise does not mean all memory stocks should rise in tandem.
Micron just experienced nearly a 7% single-day drop, and the US semiconductor sector is worried about a slowdown in AI capital expenditure; Changxin Memory trades on three logics: scarce listed targets, domestic substitution, and a small float.
In the short term, it looks more like a battle for shares.
Whether the company deserves long-term attention is one thing; whether the first-day price is reasonable is another. Technological independence deserves a premium, but no premium should be limitless.
In summary:
Changxin Memory's 530% first-day surge proves how eager capital is for domestic chip targets, but it does not prove that a company truly increased in value by ¥3 trillion in one day. $BTC $ETH $SHIB One of the most consistent $ZRO accumulators took tokens from Binance again.
And this is not a one-time purchase.
The pattern has been going on for at least 9 months.
Final conclusion:
114.191K $ZRO
approx. $99.73K
Interestingly, before large withdrawals, the wallet often sends small test amounts — for example, 3.91 or 999.8 tokens.
First, the test.
Then a large volume.
In recent months, the average entry price for visible transactions has decreased from about $1.83-$2.31 to below $1.
Someone has been quietly averaging $ZRO down for almost a year.
And it continues to buy as long as the price falls. $ASTER Introducing the Nasdaq-100 perpetual stock contract to bring US stock volatility on-chain, the core issue is whether the linkage of stock market liquidity can offset the risk of high-leverage pins and competitor squeeze.
Currently, traditional assets like the Nasdaq-100 Index introduce on-chain perpetual trading through $ASTER, allowing funds from U.S. stock markets to flow into on-chain derivatives pools during market opening and market closures. Fluctuations in the US stock market and the US dollar index are directly transmitted to changes in the platform's open interest, with its decentralized contract share reaching a historic high of 20%, confirming the siphoning power of early cross-sector funds.
The order of capital drivers is, in order, overall volatility of the US stock market, the minting scale of USDF yield-bearing stablecoins, the efficiency of cross-chain asset transfers, and fee suppression from competing products like Hyperliquid. When volatility in US stock indices increases, cross-market hedging demand for on-chain crypto margin rises in tandem.
The trigger for the upward scenario is that increased volatility in U.S. tech stocks leads to a surge in cross-market demand for safe-haven and hedging needs, while USDF stablecoin minting continues to expand. It is important to observe whether contract trading volume outside U.S. trading hours continues to dominate; the failure signal is that Perp DEX market share falls below 15% or cross-chain margin net outflow.
The downside scenario triggers a stronger dollar or changes in interest rate expectations suppressing U.S. stock performance, leading to concentrated liquidation of long positions in high-leverage on-chain stock contracts. It is important to observe the position liquidation density zones and extreme fee rates under the ZK privacy protection mechanism; the failure signal is that daily trading volume breaks historical averages and TVL rebounds strongly.
If the US stock market enters an extremely narrow range of fluctuations, cross-market linkage premiums will rapidly narrow, rendering the logic of relying on US perpetual contracts for incremental capital invalid. At this point, on-chain funds will flow back into traditional crypto-native assets, and token fee deductions and ecosystem incentive utility will be simultaneously withdrawn.
In the next 7 days, focus should be paid to changes in open interest in the Nasdaq-100 contract during the U.S. market open, as well as fluctuations in the annualized yield of USDF anchored to 1:1 USDT and the relative changes in Hyperliquid's market share.
#以太坊验证者退出队列已降至零 #长鑫科技上市, global storage competition adds variablesWhen the same names keep showing up on momentum screens, it's usually a sign that capital is flowing with purpose, not randomly. Top Bullish Trends (USDT • 1H) 🟢 1️⃣ $TAG — TAG 2️⃣ $DIA — DIA 3️⃣ $SSV — SSV Token 4️⃣ $ZRO — LayerZero 5️⃣ $TRUTH — Swarm Network Top Bullish Trends (BTC • 1H) 🟠 1️⃣ $EWT — Energy Web Token 2️⃣ $ETH — Ethereum 3️⃣ $LINK — Chainlink 4️⃣ $AAVE — Aave 5️⃣ $BGB — BGB The standout for me? 👀 ETH, LINK, and AAVE continuing to rank near the top suggests capital is still f#长鑫科技上市，全球存储竞争添变量
The memory chip game is getting way more interesting.
For years, the global memory market has basically been ruled by Samsung, SK hynix, and Micron. Now that CXMT has officially entered the capital market, it feels like the competition is entering a new chapter instead of staying a three-player story.
Memory has always been a brutal cycle. We all watched DRAM and NAND prices swing like crazy over the past two years. Companies went from expanding capacity at full speed to cutting production just to clear inventory.
Now AI is changing the script.
Back then, demand mostly came from phones and PCs. Today, AI servers and high-performance computing are becoming the real growth engine. And honestly, HBM has become one of the biggest bottlenecks in the entire AI supply chain.
People always talk about NVIDIA’s GPUs, but those chips don’t shine without insanely fast memory sitting beside them. That’s why I think the next battle isn’t just about who can produce the most chips. It’s about who can deliver advanced process technology, high-end memory, and secure a place inside the AI ecosystem.
That said… no cap, being listed is only the beginning.
Samsung, Micron, and SK hynix have spent decades building technology, scale, and manufacturing advantages. Those aren’t things you catch up to overnight.
As an investor, I’m paying less attention to who tells the loudest AI story and more attention to who keeps investing through the ugly parts of the cycle. Every tech boom creates hype. The companies that survive are usually the ones still funding R&D when everyone else is cutting back.
Feels like the real memory war is only getting started.
$SKHYNIX 我们没有负责人，现在我需要知晓以下问题，我只在Gate官方app进行联系，请管理层落实以下问题，请看清楚字，别用话术敷衍，Gate的意思是：我们按照合同约定付的100000usdt和800,000 ALD到了“骗子”钱包的同时，恰巧Gate的alpha自动抓取了ALD代币，然后不能公开谁对接上币对接流程，最后骗子的钱包转进了Gate alpha进行空投，是这样的吗？
哈希在这里：
0x8dccbab785a7f4213d26925519809ff5f51e57e2342ed9ea35431f988271ea90
当一个项目付了钱、上了币、然后被告知“跟你沟通的人不是我们的人，并且项目登陆Gate”——这是Gate的回答对吗？The AI trade just got more circular. Nvidia signed a letter of intent to invest up to $100B in OpenAI and deploy at least 10 gigawatts of its systems, the chipmaker effectively financing its own largest customer. Nvidia shares jumped on it; the scale is staggering even by 2026 standards.
Read past the headline number and there's a real question: when the dominant supplier funds demand for its own product, how much of the AI-capex boom is organic versus self-referential? This is the exact circularity the semis and Big Tech selloffs were sniffing at, spending validated by more spending. Bullish for the ecosystem's ambition, worth watching for concentration and credit risk. For crypto, a reminder that the AI-infrastructure story it's tied to is being built on enormous, increasingly interlinked bets. Impressive and precarious at once.
Not advice, just analysis.
#NvidiaBacksOpenAI #OKXOrbitCoinbase CEO Brian Armstrong introduced a new concept: AiFi, Agentic Finance. Translated, it means "a financial system for AI agents."
The logical line is like this. If AI can autonomously perform tasks in the future—booking flights, buying software, paying API fees—it will need a wallet it can control. Traditional bank accounts are tied to people, and AI can't be used.
So they got the x402 protocol. A protocol that allows AI agents to directly transfer, pay, and manage finances, running on the Base chain and settling with USDC.
Currently, it's still an early concept. But the direction is clear: if AI agents are truly going to do the work for people, they must first learn to spend money.
What's interesting about this is that it has pulled crypto back from being a "human speculative tool" back to being "machine-based payment infrastructure." This angle is much more worth paying attention to than the price fluctuations.
For ordinary people, there is nothing needed to be done now. But remember one criterion: the moment you see an AI agent pay to complete a task is when the AI agent truly starts to take effect.[Pharaoh's Market Watch]
Why did Google's stock price plummet despite reporting the "strongest profit in history"? Microsoft, Meta, and Amazon are also reporting this week. Can the AI narrative still hold?
After reviewing a batch of research reports and data, Pharaoh says directly: the AI narrative is intact, but market patience has hit rock bottom. The core focus of this week's three earnings reports is one thing—who can convince Wall Street that the $700 billion burned can turn into real cash.
Why did Google drag down the whole market?
Because the market no longer looks at revenue but at cash flow and realization efficiency. Google's profit hit a record high last quarter, but its stock dropped 7% after hours for one reason: free cash flow turned negative for the first time since listing. Investors are fixated on the astronomical figure—this year, the four tech giants' AI capital expenditures are expected to reach $700 billion to $725 billion, possibly exceeding $1 trillion next year, while AI revenue growth currently can't outpace depreciation and operating costs. This spending spree even prompted Moody's, a Fitch subsidiary, to warn that sustained capital expenditures could "threaten credit quality." The market is starting to vote with its feet.
Microsoft: Cloud must be strong, Copilot must deliver
Microsoft's report this week hinges on two points. First, can Azure cloud business growth hold steady? This underpins the $190 billion capital expenditure. The good news: Azure has over $600 billion in backlog contracts supporting it, so demand is real. The bad news: AI is extremely capital-intensive; Microsoft's free cash flow has slid from $25.7 billion to $15.8 billion. Also, the market awaits clarity on how much real revenue the 20 million paid seats for Copilot will generate.
Meta: The heaviest burden, the toughest test
Meta is in the most awkward position among the four—it has no cloud business to sell computing power externally. Its $125 billion to $145 billion AI investment must be realized through ad precision and user engagement. If AI doesn't significantly boost ad revenue, Meta could be the riskiest valuation among the four giants. Previously, when quarterly results beat expectations, the stock still dropped nearly 7% after hours due to an upward revision in capital expenditure guidance.
Amazon: AWS is the reassurance, but the pie can't be too big
Amazon's main focus is AWS. AWS growth returned to 28% in Q1, backlog orders exceed $360 billion, and AI-related revenue runs at an annualized rate over $15 billion, a 260-fold increase in three years. The logic is straightforward—AI demand drives cloud services, which drive revenue. But the market worries whether AWS growth can continue to outpace the $200 billion capital expenditure. Historically, when AWS accelerated, the market accepted it; if growth falls short this time, Amazon may also take a hit.
What does this mean for the big picture?
This round of earnings is essentially a "stress test" for global risk appetite. The big pie now correlates more with the Nasdaq than with gold. If Microsoft, Meta, and Amazon's reports this week prove that "AI spending can translate into real growth," risk appetite will continue to rise, and the big pie will benefit; if the market sees the $700 billion as a bottomless pit, the tech sell-off will likely hit the big pie hard as well.
Pharaoh's advice remains: don't just watch the candlesticks this week; focus on the tech earnings calls. Good trades come from waiting, not chasing.
Follow Pharaoh, and your wealth won't get lost! $BTC $ETH $SHIB #财报观察员：微软Meta亚马逊能稳住AI叙事吗？ #美联储周四凌晨公布利率决议
Some say the July interest rate decision is the hardest to predict so far because market expectations are evenly split between no change and a rate hike. The reason is also the rise in crude oil prices last week.
First of all, in my view, the interest rate will basically remain unchanged, and in the near future, expectations of a rate hike will only stay as talk and are unlikely to materialize.
The Federal Reserve will neither cut nor raise rates now. It won't cut because inflation hasn't been eradicated; if it loosens a bit, prices could rebound aggressively at any time, wasting all previous rate hike efforts. Walsh would never take that risk. It won't raise because current rates are already high, and inflation has decreased somewhat, so there's no need to hike further; otherwise, the US economy would be affected, and the White House wouldn't allow it.
Now, unless the market experiences extreme situations, rate hikes or cuts are unlikely.
In this long-term high-interest cold winter, the market doesn't see broad rallies, only divergence. Investment money will become increasingly selective, all flocking to cluster around those hardcore assets holding large amounts of cash and consistently making real profits every month (such as the core beneficiaries of the AI capital expenditure cycle).
Therefore, the big bull market still needs time and patience to wait!
$BTC $CL What Gate means is: the 100,000 USDT and 800,000 ALD we paid according to the contract arrived in the "scammer's" wallet, and coincidentally, Gate's alpha automatically scraped ALD tokens, so the process couldn't be disclosed who connected to the token. In the end, the scammer's wallet was transferred to Gate alpha for an airdrop. Is that how it works?
Hash is here, the answer is here
When a project pays for it, registers tokens, and is then told "the person communicating with you is not one of us, and the project is logged into Gate"—this is already a credibility issue for GateSui's recent updates have been quite clear: making transfers free of charge, allowing BTC to be directly on-chain.
Zero gas fee stablecoin transfers are a permanent change in the protocol layer. Transferring stablecoins using supported wallets and exchanges has zero fees. This isn't a promotion; it's a change at the grassroots level. By the same logic, competitors are SWIFT and PayPal.
The other is Hashi, native BTC directly listed on Sui. The Move language handles Bitcoin UTXO without a wrapper layer in between. Interestingly, the deposit and withdrawal mechanism does not constitute a taxable event under U.S. tax law, and this part is specifically designed.
Institutional custodians include BitGo and Ledger, with liquidity coming from Cumberland and FalconX. The strategy is clear: first serve big capital, then let the ecosystem grow.
The competition in Web3 chains is no longer about TPS numbers. Who can make money flow on it cheaper and safer than traditional finance?Binance Pay now allows payment by scanning local QR codes in Vietnam.
It's not the kind of awkward payment where you have to exchange your account first and then contact the merchant, and the merchant doesn't even know which chain you want to pay. You can scan the local Vietnam QR code directly, just like WeChat Pay.
Crypto payments have been stuck in two places for years: merchants are unwilling to connect, and users don't want to pay 20 yuan for research gas fees. Binance Pay's approach in Vietnam bypasses both of these two areas. On the merchant's side, they use the local payment network, while on the user's side, Binance handles the exchange in the backend.
I don't know how much this model can be expanded. But at least it proves: for crypto payments to be implemented, it's not about merchants understanding blockchain, but about making users feel blockchain at all.谷歌和特斯拉这次财报放在一起看，其实挺有意思
谷歌交出的成绩单依然很稳，广告业务保持韧性，云业务继续增长，AI 投入也在不断加码，市场更关注的是它能不能把 AI 转化成持续的盈利能力
特斯拉的焦点则完全不同。相比单纯卖车，投资者更关心自动驾驶、机器人和 AI 等未来业务能否兑现预期。财报公布后，市场讨论最多的也不是销量，而是马斯克描绘的新故事
两家公司都在押注 AI，但路径完全不同
谷歌靠现有业务支撑增长，再逐步扩大 AI 商业化。特斯拉则更依赖未来业务打开新的估值空间
对于资本市场来说，一家公司拼的是兑现能力，另一家公司拼的是未来预期
你觉得未来几年，市场会更愿意为稳定的业绩买单，还是更愿意为长期故事支付溢价？$GOOGL $TSLA #Gate.io Temp Worker
Gate's official team continues to claim that Robin, who connects with our ALD community, is an impersonator and a scammer. Here are several core questions that cannot be avoided. Please answer them directly:
1. If Robin is merely an external scammer and not a Gate staff member, an unauthorized impostor, what right does he have to complete the full Gate Alpha listing process and successfully list ALD tokens on the platform?
Gate listing uses an internal multi-layer approval mechanism, making it impossible for outsiders to operate on their own. If outsiders can casually impersonate employees to complete token listings, does this prove that Gate's internal permission management has completely gone out of control, allowing anyone to impersonate staff and lead project listings?
2. We will pay the USDT and ALD corresponding to the listed currency in full according to the matchmaker's requirements. If Robin is considered personal fraud, why did the scammer guide us to transfer funds that ultimately flow into the Gate system, and why did the token launch as scheduled?
Ordinary people commit fraud with the goal of embezzling funds without authorization; Moreover, the successful listing of tokens after this settlement is completely inconsistent with the logic of ordinary scammers.
3. Gate cannot simply use the phrase "the intermediary is a scammer" to unilaterally tear up the token listing agreement reached by both parties.
The successful launch of the token on Gate Alpha is an objective established fact; trading behavior and fulfillment results are real. They cannot enjoy the benefits paid by the project party and refuse to fulfill all agreed obligations on the grounds of "personnel impersonation."
4. We hope Gate will publicly disclose the complete approval process for the ALD launch of Gate Alpha and the internal handling staff.
If Robin has no official authorization, please explain: How did an external impersonator bypass all internal risk controls and approvals to complete the entire listing process? Does this mean there is a major vulnerability in Gate Alpha's listing channel, and all project teams face the risk of being lured by fake personnel?Changxin Technology IPO
1. Basic Information
A mega IPO on the STAR Market, the only domestic leading DRAM memory manufacturer in China, surged 471% on the first day, with trading volume setting a new record in A-share history, and funds aggressively buying in.
2. Reasons for the Surge
1. Scarcity: The only mainland China company independently mass-producing memory chips, a core target for domestic substitution;
2. Strong Performance: Large profit scale, unlike most loss-making semiconductor companies;
3. Market Sentiment: AI-driven storage demand, with institutional funds converging to enter the market.
3. Core Issues
Severe valuation bubble, with a premium much higher compared to overseas storage giants; the DRAM industry is highly cyclical, with profits shrinking sharply during downturns, and there is significant upcoming share unlocking pressure.
4. Market Outlook
Short term: High-level oscillation to digest profit-taking, low probability of a sharp drop;
Mid term: High valuation requires a long time to digest, and the market depends on the price trend of memory chips. #长鑫科技上市，全球存储竞争添变量 $HYPE RWA perpetual contracts monthly trading volume reaches $470 billion: On-chain derivatives are shifting from internal crypto competition to competing for traditional financial asset pricing power
Is the market merely digesting the growth of on-chain derivatives, or does this data reveal a structural mismatch between traditional finance and crypto liquidity?
Factually, the raw data points to a monthly trading volume of $470 billion for RWA perpetual contracts, a scale that surpasses the single-month crypto-native contract volume of most centralized derivatives exchanges. The key catalyst does not come from within crypto but from the convergence of two independent demands: crypto-native traders need stablecoin-collateralized, 24/7 frictionless trading of highly volatile US stock assets; meanwhile, retail demand for unlisted unicorns (such as SpaceX) lacks real-time liquidity outlets in traditional finance, and on-chain perpetual contracts provide immediate price discovery and hedging tools after hours and on weekends.
The core structural change is that this $470 billion trading volume is not an endogenous speculative increment within crypto but marginal liquidity carved out from the US stock after-hours market and cross-border capital allocation. This changes the pricing anchor of on-chain derivatives: no longer driven solely by BTC/ETH volatility but beginning to link to US stock after-hours pricing, macro event overnight reactions, and other cross-market factors.
The impact on market pricing transmits through two paths:
- BTC/ETH: Short-term impact is neutral to slightly negative because RWA perpetual collateral is mainly stablecoins, not BTC/ETH, so funds do not flow directly into major coins; however, in the medium to long term, if RWA perpetuals continue to expand, the total supply and lending utilization of stablecoins will rise accordingly, indirectly providing a thicker on-chain liquidity base for BTC/ETH.
- Altcoins and Meme: Bearish. Marginal liquidity is drawn away from altcoins and Meme tokens toward high-volatility US stock RWA perpetuals, putting pressure on altcoin marginal buying and turnover rates.
Bullish path: If RWA perpetual trading volume continues to grow at over 20% monthly on average, it will accelerate stablecoin market cap growth and attract traditional market makers to deploy arbitrage capital on-chain, systematically increasing Ethereum L1/L2 block space usage fees. At this point, DEXs handling high-concurrency orders and high-precision oracles will enter a protocol value capture cycle.
Bearish risk: If US stock volatility declines or regulation tightens (e.g., SEC defines RWA perpetuals as unregistered securities), this trading volume could shrink rapidly. Additionally, whether the current $470 billion includes significant wash trading or circular transactions remains to be verified by on-chain data—if real liquidity accounts for less than 30%, the actual pull on stablecoin deposits will be overestimated.
Conclusion: The $470 billion monthly trading volume of RWA perpetuals is not a crypto narrative but a cross-market arbitrage structure being priced by on-chain tools. Core risks: wash trading ratio and regulatory uncertainty. $BTC $ETH #RWA #以太坊验证者退出队列已降至零 The exit queue has dropped to zero, and you no longer need to queue to unstake. Meanwhile, 2.48 million ETH are still queued to get in, expected to take 43 days. The direction of staked funds has shifted from outflow to inflow, and the net direction is changing.
Currently, about 40.9 million ETH are staked, accounting for 33.55% of the total supply, with around 885,000 active validators and an average annualized yield of about 2.64%.
The exit channel is cleared, the entry channel is lined up, and the net staking direction has reversed. Those who came up for various reasons have already left, but those who want to get in are still lining up. Although the staking yield is not high, compared to the risk-free rates in traditional markets, it remains a relatively stable choice for long-term holders. If the exit channel remains empty, ETH's staking rate still has room to rise. $AAVE Market Outlook
Current Price: $100.82
$AAVE is showing steady buyer absorption near key support levels, with sustained protocol revenue and DeFi lending demand supporting a potential recovery move.
Support: $92.00 – $96.50
Resistance: $108.00 – $118.00
Targets: $108.00 ➔ $118.00 ➔ $130.00
Holding above $92.00 preserves the bullish recovery trend. $MANA consolidating near support after the correction.
Demand continues supporting current price action.
EP
0.0665 - 0.0690
TP
0.0715
0.0740
0.0780
SL
0.0640
Price remains above a key support area despite recent weakness. A reclaim of nearby resistance could trigger expansion toward higher targets.
Let’s go $MANA #AIEarningsWatch #OilDropsOnCeasefire Bitcoin is following a very different path this cycle. 📊
Historically, the 250–300 day window of a bear market has often been where $BTC continued making fresh lows before forming a final bottom.
This time, the picture looks different.
Instead of breaking down, Bitcoin has continued to print higher highs and higher lows, showing resilience where previous cycles struggled.
We're now around day 294 of the current bear market. Based on historical averages, the cycle could have around 60 days remaining—but markets don't have to repeat the past exactly.
My view remains that this cycle could bottom earlier than expected, with price front-running the traditional Q4 timeline as institutional participation and liquidity continue to evolve.
History provides a framework—not a guarantee.
Stay flexible, follow the price action, and let the market confirm the trend.
#CXMTMemoryIPO #FOMCRateWatch #AIEarningsWatch Rebound ≠ reversal, risk-on is a sharp edge. $ETH surged 4%, but $QQQ was dazzlingly green, the market was waiting—whoever showed weakness first would set today's tone.
Look at the numbers
$BTC 65,283 +1.45% $ETH 1,952 +4.14%
$QQQ -1.12% $SPY +0.10% $IBIT -0.82%
$DXY -0.15% $GLD +0.10%
Let's talk about the situation. Hormuz and crude oil are still feeding variables into inflation expectations, while US Treasury yields and the shadow of Fed tightening continue to weigh on valuations. The dollar isn't a backdrop—just a quick tweak on the exchange rate line can disrupt the rhythm of $QQQ$SPY. It's not surprising if any switch gets triggered in today's market.
Tear them down one by one. $ETH Elasticity is clearly stronger than $BTC, short-term risk appetite is rising, but $QQQ is sinking downward, and money is shrinking into defense. $IBIT Weaker than spot $BTC; if the ETF softens, it means the spot market isn't that strong; $DXY If you breathe a little easier, risk assets need to catch their breath, but once tightened, they quickly turn hostile; $GLD Still quietly rising, safe-haven funds haven't fully withdrawn—don't be fooled by the hype.That's exactly what happened to $DOGE. From around $0.74 in May 2021 to roughly $0.07. Not because of one catastrophic event. Not because of a hack. Not because the project disappeared. It was simply a long, quiet bleed that lasted nearly three years while newer meme coins grabbed the spotlight and capital rotated elsewhere. The funny part? Nothing fundamentally changed. Same Doge. Same community. Same infinite supply. The lesson isn't just about DOGE—it's about crypto. The biggest losses rarely$AVAX Market Outlook
Current Price: $12.45
$AVAX is consolidating near its local horizontal demand zone, with lower-timeframe seller volume tapering off as spot order book absorption builds a firm recovery floor.
Support: $11.50 – $12.00
Resistance: $13.50 – $14.80
Targets: $13.50 ➔ $14.80 ➔ $16.50
Holding above $11.50 keeps the structural bounce setup active. Bitcoin is holding strong around $BTC 65,300, keeping solid support above $64,000. With steady ETF inflows and shifting macro sentiment, BTC is setting up to retest the $66,500–$68,000 resistance zone over the next few days. Stay disciplined and manage risk! 🤑
#BTC #Bitcoin #OKXOrbitTopics #CryptoTrading Bullish momentum continues on the price holds firm after sweeping higher lows! $NIL consolidating right around local resistance, setting up for a sharp continuation break toward the upper liquidity zone. 📊
$NIL
📍 Entry: 0.0438 – 0.0446
⛔ Stop Loss: 0.0416
🎯 Target 1: 0.0463
🎯 Target 2: 0.0482
🎯 Target 3: 0.0505