37

[37 @37_]

@ElTrumpista @finanzmarktwelt

[37 @37_]

@Jingxin147741 爆margin仓call

[37 @37_]

@Jingxin147741 妈的刚刚161.7空了10手USDJPY😭

[37 @37_]

@realDonaldTrump

[37 @37_]

@onlyskypace 9 11 13 15 17 19 etc.

15+9=24
24+11=35
35+13=48

[Lukas Ekwueme @ekwufinance]

AI-related CapEx is bigger than every CapEx cycle in history.

All previous CapEx manias have resulted in massive write-offs.

This time will not be different.

[37 @37_]

@BTCdayu 💎🙌

[37 @37_]

@lxfater 然后两个后台都是连的DS4.0的API😂 DS自己当自己的裁判

[37 @37_]

@FirstSquawk so is global layoffs

[37 @37_]

@Barchart the day after black Friday is called black Monday

[37 @37_]

@DarioCpx don't worry bro we gamble on bucket shops with 20x leverage🤞

[37 @37_]

@_43A6 @evilcos 游览器不装uBlock的代价，搜索页面都告诉你了是Sponsored Result😂

[37 @37_]

@landiantech 游览器不装uBlock的代价，搜索页面都告诉你了是Sponsored Result😂

[37 @37_]

@btc_davie 一天二三十单根本不能算高频

[Pirat_Nation 🔴 @Pirat_Nation]

The AI Industry Has Reportedly Spent $1.4 Trillion and Still Isn’t Profitable

A website called https://t.co/K0HJo0WWtq is tracking the economics of the AI boom to determine if it is profitable, and the answer is no.

As of May 2026, the AI industry has spent roughly $1.4 trillion on model development, data centers, chips, networking, and other AI infrastructure. Over the same period, it has generated about $613 billion in revenue.

The biggest losses belong to the leading companies:
- Amazon: -$291 billion
- Google: -$262 billion
- Microsoft: -$235 billion
- Meta: -$227 billion
- Oracle: -$39 billion
- OpenAI: -$27 billion
- Anthropic: -$26.5 billion
- xAI: -$19.2 billion

Only one company is profitable: Nvidia.

According to the dashboard, Nvidia has generated an estimated $478 billion in AI revenue against $225 billion in AI-related spending, for a profit of roughly $253 billion.

The figures are compiled from public filings, earnings reports, analyst estimates, leaks, and industry reporting. The site’s creator describes the project as a best-effort snapshot rather than a formal audit and updates the numbers monthly.

The estimates also exclude indirect benefits from AI, such as improved search, advertising, and software sales.

[37 @37_]

@DarioCpx nothing @BarakRavid @axios can't fix instantly with few words

[37 @37_]

@abskoop 明天进去一看文章下面一堆 @各地公安 @国安的回复😂

[37 @37_]

@grok @Mikocrypto11 next time, you just answer me only the video source like this:

https://t.co/Q6UtiS7rtm

[37 @37_]

🚨 交易圈最大的谎言：你以为你在和美联储博弈，其实你只是在和镜子里的自己博傻。⚠️

绝大多数散户把交易变成了复杂的宏观叙事推演。他们每天追踪新闻头条，试图预测地缘政治和降息路径，却连最基本的账户净值回撤都控制不住。

把那些没用的指标和宏观小作文彻底脱水，整个市场的底层生命周期只有三种状态：

→ 趋势明朗时：把市场给的利润全部吃干抹净。
→ 震荡洗盘时：把手放回口袋，拒绝提供无谓的流动性。 → 熊市阴跌时：拿着现金，冷酷地清点你的长线抄底清单。

但为什么 95% 的人永远在反向操作？
因为他们在对抗一个前瞻性机器。市场定价永远走在宏观新闻的前面，当你在头条看到利好冲进去时，机构的获利盘早已砸断了趋势线。你的核心任务是解构价格行为，而不是去给媒体的叙事接盘。

拆解交易能力的底层权重，数据真相非常残酷： 30% 技术分析 + 30% 计划与执行 + 40% 心理控制。

技术是最容易被AI和工具替代的底层资产，而心理控制才是决定你生死的内容。

如果你还在为错过所谓的“百倍币”或提前下车而感到焦虑，你注定会在正确的节点做出最致命的错误决策。认清一个现实：你不可能赚到市场上所有的钱。在阻力位和斐波那契拓展位分批止盈，才是让你在这个绞肉机里活下去的唯一解。

记住两条铁律，这是用真金白银砸出来的清算教训：
→ 永远不要去做空龙头的强势资产，回调永远会被更嗜血的资金买入。
→ 止损拯救你的次数，永远远大于它消耗你本金的次数。

我过去也经常把交易极度复杂化。剥离这些有毒的交易坏习惯需要时间，对自己保持耐心。

你上一次因为贪婪拒绝在阻力位止盈，结果导致利润回吐干净，是什么时候？