Odaily编辑部投资操作全记录(6月26日)

Odaily星球日报Pubblicato 2024-06-26Pubblicato ultima volta 2024-06-26

Introduzione

好家伙,经此一周,投资逻辑都重塑了……

本新栏目为 Odaily 编辑部成员真实投资经历分享,不接受任何商务广告,不构成投资建议(因为本司同事都很擅长亏钱),旨在为读者扩充视角、丰富信源,欢迎加入 Odaily 社群(微信@Odaily 2018 ,Telegram 交流群X 官方账号)交流吐槽。

Odaily编辑部投资操作全记录(6月26日)

推荐人:Asher(X:@Asher_ 0210 

简介:低市值山寨长线埋伏、链游打金、撸毛党

分享

  1. BTC 行情, 61500 小多,跌到 60700-60800 加多,止损 59600 ,止盈先看到 66800 附近。期待一波大反弹让大家都上车,然后暴跌。

  2. 山寨:一是 BWB,目前持有中,第二期 Launchpad 项目认购马上开始,期待 BWB 价格这段时间暴涨,依旧短期看 1 U 以上。二是 SOL,前两天 BTC 跌破 60000 这波,SOL 价格维持十分坚挺,准备在 130 附近做多,止损 119 ,止盈 157、 188 。

  3. 链游/撸毛:一是灯塔,灯塔 NFT 定价太高了,项目方还给 KOL 发了不少,现在场外白单价格一路跌。二是冒险岛,冒险岛终于出任务了,建议做。

推荐人:南枳(X:@Assassin_Malvo

简介:链上玩家,数据分析师,除了 NFT 什么都玩

分享

  1. 链上 Meme 行情短暂复苏,仍需要以核心概念为主,例如昨夜出现美国 627 大选辩论的 VIVOOK 和特朗普社交软件 TRUTH,今日以哆啦 A 梦为核心的大雄、静香等概念。

  2. Solana 最新推出的 Blinks 值得重点关注,据前方消息 Solana 不止在线上推广,线下的 Solana 大会也在重点推进。关注重点不在交易方面,而是以 X 平台为核心的交互,例如可以有 X 平台交互小游戏、Donate 给特朗普等方向,很有可能出现爆款,但还需要给 Dev 狂想的时间。

推荐人:Wenser(X:@wenser 2010 

简介:交易所已卸载,链上已清仓,Farcaster 刷刷 ing

分享

  1. 等待 Sanctum 7 月初发币,看看这个代号是 CLOUD 的币表现怎么样,另外,提醒大家绑定 Sanctum 个人 Profile(https://d1x7dwosqaosdj.cloudfront.net/images/2024-06-26/0d868388d63b8639511c32a292a537db);

  2. 山寨最近几天稍微反弹了一下,Solana 生态和 TON 生态看下来是表现相对比较好的,虽然相较高点基本上都已经腰斩或者接近腰斩了;

  3. Bitlayer 的第二期头矿节马上开始了,还有个 Mezo 的 BTC L2、再质押的 Kelp,还有钱的话也可以看着存点;

  4. 今天小群聊到了 Web3 游戏,个人不太看好 Web3 的“仿 Web2 游戏”,比如 FPX、RPG、MOBA 等等,Web3 游戏人群本来就少,还是轻游戏更合适点,所以仓鼠、Yescoin、Gemz 等等 NOT 的仿盘可以关注下,游戏可玩可不玩,但是币到时候可以看着买一点试试水。

推荐人:golem(X:@web3_golem

简介:比特币生态捕手、撸毛练习生

分享

  1. 出货,出货,出货!(重要的事情说三遍)在大盘行情不好、且不这么擅长二级和合约的情况下,我选择出货套现大多数资产,保留一小部分抄其他老师的作业。

  2. 还是想再说一下 pizza,在这种行情下,pizza 的价格依然能维持在 4 U 左右不崩,可以说明 pizza 的筹码已经经历了较充分的换手,但是在现阶段也并不能代表什么。比特币生态所有的标的都是对一个赛道的豪赌,但不是每次都能赌对,例如 atom、seal、nat 等。当大盘崩的时候这些资产表现肯定一般,但大盘行情好时它们也不一定表现好,一是因为炒新不炒旧,二是实在是有太多“优质社区资产”排队等着拉盘了。

  3. 灯塔的白单合作宣发出去的太多,再加上铸造价格颇高,打击了很多人的信心。对普通撸毛选手来说,不建议完全放弃,可以有一两个白单号玩,铸造价格高其实也是一个门槛,能筛选不少人。

推荐人:Azuma(X:@azuma_eth

简介:铁头韭菜、反撸大师、专坑隔壁小花老师

分享

  1. 最近越来越觉得要重塑对山寨币的投资逻辑,尤其是细看了热门项目的 VC 浮盈和解锁数据后,个人接下来可能会更倾向于那些基本已进入全流通状态,且依旧能跟上甚至创造新叙事的项目。比如最近反弹力度比较猛的 LDO,流通率接近 90% ,借助 Symbiotic 也跟上了 Restaking 的叙事。

  2. 比较看好 Blast 晚上开盘后的表现(相较于 ZKsync)。开盘前的市场预期也相对较低,向上空间更大;大户有锁仓限制,筹码结构更好;PUA 大师铁顺必定也会设计一些留存机制,数据上不会像之前的几个 “天王级” L2 那样掉得太难看。

往期记录

6 月 14 日

6 月 17 日

6 月 21 日

推荐阅读

BTC、ETH 分道时, 12 位行业人士对后市行情判断如下

链上聪明钱追踪: 10 大价值币建仓高手地址合集

行情索然时,收下这份稳定币增值攻略

Letture associate

A Record $70 Billion Inflow in 5 Days! Investors Are No Longer Choosy, Buying Gold and Bitcoin Together

Investors are moving beyond "either/or" choices and are simultaneously pouring money into both gold and bitcoin ETFs. Over the past five trading sessions, ETFs tracking these assets attracted a record $7 billion in combined inflows, pushing some of the largest gold and bitcoin funds to the top of the U.S. weekly ETF inflow rankings. This surge was triggered by U.S. Treasury Secretary's announcement to at least double long-term bond buybacks, which initially pressured Treasury yields and the dollar, boosting prices for both assets. Gold has risen about 13% this month, while bitcoin reclaimed the $80,000 level. The synchronized rally signals the return of the "monetary debasement trade." Amid growing concerns over fiscal sustainability and easing financial conditions, investors are seeking scarce assets perceived as outside direct government control. Gold benefits from its traditional safe-haven role, while bitcoin's fixed supply of 21 million coins positions it as a potential hedge. The SPDR Gold ETF (GLD) attracted nearly $3.4 billion, and the iShares Bitcoin Trust (IBIT) saw $1.5 billion in inflows, both ranking in the weekly top ten. Analysts note the momentum behind the flows is as significant as the volume, indicating investors are aggressively adjusting previously underweight positions. While the narrative of hedging against fiscal stress and currency debasement is gaining traction, some analysts question its sustainability, suggesting equities might be a more reliable hedge in the long run.

华尔街日报5 min fa

A Record $70 Billion Inflow in 5 Days! Investors Are No Longer Choosy, Buying Gold and Bitcoin Together

华尔街日报5 min fa

Yangtze Memory: Is It the Second ChangXin?

The largest IPO in the history of the STAR Market is approaching. Yangtze Memory Technologies (YMTC) has filed for a listing on the Shanghai Stock Exchange's STAR Market, aiming to raise 33 billion yuan. This surpasses the previous record set by competitor ChangXin Memory Technologies (CXMT), which raised 29.5 billion yuan and saw its market capitalization surge on its debut. Despite both being leading Chinese memory chipmakers founded in 2016 and operating under the IDM model, the two companies are fundamentally different. CXMT focuses on DRAM, the memory used for temporary data processing, while YMTC specializes in NAND Flash, used for long-term data storage. Industry reports indicate the global DRAM market is significantly larger and more concentrated among three major players, where CXMT ranks as the fourth-largest supplier. The NAND Flash market is more fragmented, with YMTC ranking third globally by shipment volume in Q2 2026, though fifth by revenue due to a stronger focus on consumer-grade products. Experts are divided on whether YMTC can replicate CXMT's explosive market debut. Some analysts believe it is highly unlikely, citing a cooler market environment and YMTC's perceived lower strategic scarcity within the AI supply chain compared to DRAM/HBM-focused companies. They warn that aggressive IPO pricing could lead to downward pressure post-listing. Industry forecasts suggest the DRAM market may remain tight, while the NAND Flash market could face price corrections due to new capacity and weaker demand. Other experts argue that while short-term market sentiment differs, the long-term investment value of both companies is comparable, hinging on future performance and potential breakthroughs in areas like HBM. They believe YMTC's IPO is unlikely to face significant cooling given still-elevated market interest in the semiconductor sector.

marsbit25 min fa

Yangtze Memory: Is It the Second ChangXin?

marsbit25 min fa

Tether Completes Full Audit by KPMG U.S., 150 Tons of Gold and 100,000 BTC Reserves Verified

Tether Announces Completion of Full Financial Audit by KPMG US, Confirming Gold and BTC Reserves Tether CEO Paolo Ardoino announced that the company has completed its first-ever full financial audit by the "Big Four" accounting firm KPMG US. The audit covers the financial statements of Tether International, S.A. de C.V. as of December 31, 2025. Ardoino stated that Tether's delay in obtaining a full audit was primarily due to the previous US administration's hostile stance towards the digital asset industry. With a more favorable regulatory environment, the company engaged KPMG US for the rigorous review. Ardoino emphasized the audit confirmed the strength of Tether's reserves, including over $6 billion in excess equity. He also revealed the company holds substantial physical assets: approximately 150 tons of gold and over 100,000 Bitcoin (BTC). The audit process reportedly involved physically verifying each gold bar. Addressing past criticism and ongoing skepticism, Ardoino pointed to Tether's ability to handle large-scale redemptions, citing the processing of around $7 billion within 48 hours during market stress in 2022. He stated the company plans to undergo annual full financial audits alongside its ongoing quarterly attestation reports. Regarding a potential private equity round, Ardoino clarified that Tether, as a highly profitable company, does not require external capital but acknowledges significant market interest in its shares. The company remains private and mission-focused, aiming to serve users outside the traditional financial system. Looking ahead, Ardoino expressed Tether's interest in potentially funding initiatives like the "Bitcoin Red Team," which uses AI to audit Bitcoin's code and wallet security for vulnerabilities.

marsbit44 min fa

Tether Completes Full Audit by KPMG U.S., 150 Tons of Gold and 100,000 BTC Reserves Verified

marsbit44 min fa

Wall Street's Imagination Can't Keep Up with Nvidia's 'Speed'

NVIDIA once again delivered stellar earnings, with revenue, operating profit, and EPS all hitting record highs for Q2 FY2027 (ended July 26, 2026). Revenue reached $96.221 billion, a 106% YoY increase, while net profit surged 126% to $59.688 billion. The core driver remained the Data Center segment, which grew 117% YoY to $89.023 billion, fueled by ongoing global AI infrastructure investments. The company segmented its Data Center revenue into Hyperscale (large cloud providers) and ACIE (AI cloud, enterprise, industrial, and sovereign AI) categories, with the latter showing faster growth. Notably, shipments of Hopper architecture products to mainland China accounted for less than 1% of Data Center revenue this quarter, and future guidance excludes contributions from China's Data Center compute market. CEO Jensen Huang stated that AI has reached a "tipping point," directly generating productivity and revenue. Financially, NVIDIA maintained robust profitability with a gross margin of 75%. The company also returned approximately $26 billion to shareholders via buybacks and dividends. Looking ahead, product transitions are key. The Blackwell Ultra platform is now in large-scale deployment, while the next-generation Vera Rubin platform, including NVIDIA's first CPU designed for AI agents, has entered full production. The company is also expanding its software ecosystem with tools like the DSX platform for building AI factories. However, NVIDIA's role is evolving beyond chip supplier. It is increasingly involved in financing and facilitating massive AI infrastructure projects, exemplified by its credit support for the SB Energy project in Ohio intended for OpenAI. The company aims to mobilize over $500 billion in third-party capital for such builds, though this raises questions about future capital intensity. For Q3 FY2027, NVIDIA forecasts revenue of approximately $108 billion, signaling continued growth but at a potentially moderated pace. While still dominant, the competitive landscape is intensifying with rivals like AMD and in-house chips from major cloud customers. Key challenges include maintaining growth through the Blackwell-to-Rubin transition, sustaining the pace of AI infrastructure investment, and defending market share as inference workloads grow and competition increases.

marsbit44 min fa

Wall Street's Imagination Can't Keep Up with Nvidia's 'Speed'

marsbit44 min fa

MiniMax Starts Earning Money by Relying on Others

MiniMax, a Chinese AI company known initially for its consumer-facing products like Conch AI, has undergone a significant business shift according to its first post-IPO semi-annual report. While overall revenue grew to $117 million (surpassing its full-year 2025 projection), the revenue structure flipped dramatically. Revenue from its open platform and enterprise AI services surged 703.1% to $73.93 million, now constituting 63.4% of total income. In contrast, revenue from its own AI-native products, though doubling to $42.64 million, dropped from 69.7% to 36.6% of the total. This indicates MiniMax is transitioning from a product-centric to a platform-centric model, embedding its AI capabilities into other companies' workflows and developer applications rather than solely relying on its own apps. The company is now monetizing its core model technology as a service. However, profitability remains a challenge. Despite revenue growth of 283.1%, R&D expenses were $297 million—2.55 times revenue—leading to an adjusted net loss of $293 million. A positive sign is improving gross margin, which rose from 12.1% to 17.9%, suggesting initial progress toward scaling efficiently. Geographically, MiniMax demonstrates a "developed in China, monetized globally" model, with 60.8% of its revenue coming from outside mainland China. The report highlights that MiniMax has successfully moved past proving demand and model capability. The critical next phase is demonstrating that its growing enterprise and developer customer base can generate sufficient, sustainable profit to offset the high inherent costs of AI model training and inference.

marsbit55 min fa

MiniMax Starts Earning Money by Relying on Others

marsbit55 min fa

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