Monkey D. Efi

Searching for my One Piece 😁

[vincent @SPCX100T]

Open source frontier AI models will drive demand (token) several orders of magnitude higher than today. In this human AI revolution, SpaceX $SPCX stands to be one of the biggest winners.

1. It will achieve the fastest construction speed per gigawatt for terrestrial data centers, time is money in this race.

2. Its cost per token will be among the lowest, driven in part by the significantly shortened build timeline.

3. With Starship’s successful maturation by year-end, SpaceX will possess lower-cost and near monopolistic space transportation capabilities, positioning it as the clear leader in low Earth orbit satellite data centers with the lowest structural costs also lowest running costs.

4. It has entered an exclusive partnership with NVIDIA.

If developments unfold along these lines and you still fail to recognize what will happen over the next two to three years, you risk missing the single greatest opportunity of your investment career.
NFA

[CyrilXBT @cyrilXBT]

this is f*cking gold

How to build your first AI agent (Full guide)

if I had this a year ago, I would've shipped my first app in a day instead of 2 weeks

in the right hands, this changes everything:

[Noisy @noisyb0y1]

APPLE JUST SHOWED HOW TO RUN 10 AI AGENTS LOCALLY ON MAC - NO CLOUD, NO API KEYS, ZERO COSTS

00:10 Apple engineer says: "your data stays on your device, AI available anywhere at any time, zero usage costs"

agent reads your code, checks GitHub, finds what needs attention and writes a report - all on your Mac, nothing goes to the internet

10 agents work simultaneously - one writes code, another tests, third fixes bugs - parallel with no queue

built a full iPad app from scratch in 2 minutes, fixed its own mistakes and compiled without issues

takes 5 minutes to set up - and you never pay again for a bot that runs 24/7

[David Lawant @dlawant]

https://t.co/GyjWVbFYOt

[Ai 姨 @ai_9684xtpa]

4/ 他的最新持仓与喊单

1️⃣ 一手信息，看推文即可
2️⃣ 选择你喜欢的社区汇总面板，比如 @flamemxy 的分析看板 👉 https://t.co/Q1aORLKzj7，或 @iamai_omni 的可视化面板（需订阅）

最后，一代版本一代神，Serenity 的战绩是实实在在的，但他的持仓多为小盘股，波动率参考山寨 / Meme，无脑跟单仍不可取哈

[Serenity @aleabitoreddit]

AI capex spend is expected to go to "$3 to $4 trillion annually" by 2030 from $NVDA Jensen Huang projections.

You're not bullish enough.

And it might be a good idea to stay exposed + own the keys of the AI Kingdom:

-> $AXTI controls the materials buildout with photonics.
-> $SOI controls the AI buildout with silicon photonics.
-> $SIVE controls laser chokepoints for CPO.
-> $IQE controls Western epiwafer supply chains for photonics.

All these started off as tiny companies, yet the trillions of projected capex gradually upward to them. 

There's many more in other industries as well.

-> AI Capex flows to Neoclouds like $NBIS.
-> AI Capex flows to memory like $MU and $SNDK.

And many of the "commodity" materials or "science projects" for the past 20 years now a sudden shift in exponential TAM expansion.

We're witnessing the next industrial revolution with Artificial Intelligence + Physical AI.

[Lucy L. @LucyBuilding]

为什么很多时候当一个标的开始传导到各个社交平台，甚至连原本不关注这个领域的人都开始讨论或买入时，行���反而容易接近阶段高点？

比如之前的黄金。

当大妈们开始集中抢购黄金，金店排队、社交平台晒金条的时候，很多人会说差不多到顶了

再比如最近的存储。

最开始只是少数人研究 DRAM、HBM、NAND，研究供需、库存和涨价周期。后来半导体圈开始讨论，再后来美股圈、港股圈都在讲，最后连币圈的人也开始下场买存储、分析存储。

这个时候，市场情绪就有点微妙了。

我以前也会觉得，这是不是一种对散户的偏见？难道普通人一买，行情就一定要跌吗？

后来我慢慢理解，这里面的核心不是因为大量散户买了就要跌，而是一个资产的故事，传导到大众圈层时往往说明它已经完成了一轮非常充分的定价。

行情的传播是有顺序的。

最早一批人买，是因为他们看到了还没有被市场充分反映的变化。

中间一批人买，是因为基本面和股价开始相互验证。

最后一批人买，很多时候已经不是��于冷静判断，而是被上涨本身吸引进来。

到了这个阶段，市场真正要问的问题就变成了还有谁没买？

资产继续上涨，需要新的增量资金。但当一个方向已经从专业投资圈，传导到普通社交平台，再传导到完全不同圈层的人群时，说明潜在买盘已经被高度动员了。

这时候哪怕逻辑还没错，股价也可能先跌。

因为市场交易的从来都不只有逻辑本身，还有这个逻辑已经被多少人相信，被价格反映了多少。

存储就是一个很典型的例子。

最开始大家讲的是供需反转、库存去化、涨价周期、AI 对 HBM 和 DRAM 的需求拉动。这些逻辑都很重要也没问题。

但当这个逻辑变成全网共识后，问题就变了。

市场已经默认存储会涨价，默认利润会暴增，默认这轮周期会很长。这个时候利好需要越来越大，股价才涨得动。

如果财报没有超预期，指引没有更激进，还有如果短期涨幅过大，资金想先兑现，股价就可能开始剧烈波动。

这也是为什么很多行情会出现一种很反直觉的现象——基本面还在变好，股价却开始跌。财报明明不错，股价却高开低走。行业逻辑没有被证伪，但龙头已经开始回撤。

因为市场在高位看的是还能不能更好。

当然，大众参与也不代表行情一定结束。

有些超级趋势，比如美股科技股、AI、黄金、比特币，进入大众视野后还可以继续涨很久。

真正需要警惕的，是一个资产从有人怀疑走到没人敢看空，从需要解释走到人人都能讲三条逻辑，从研究基本面走到晒收益、喊目标价、比谁仓位重。

这个阶段是最容易让人误判的。

因为逻辑看起来越来越���，风险感却越来越弱。

但投资里最危险的阶段，往往就是所有人都太相信的时候。

所以我现在也会把全网都在讲当成一个重要信号。它不一定代表马上见顶，但至少说明这笔交易已经从信息差阶段，进入了共识交易阶段。

一开始，逻辑可以帮我们建仓。

中途，逻辑可以帮我们拿住。

到了全网狂热的时候，逻辑反而应该用来反问自己现在这个价格，还给不给我犯错的空间？

如果答案已经不确定，那就算方向还对，也应该重新审视仓位了。

[Monkey D. Efi @Monkey_D_Efi]

@bboczeng @aleabitoreddit Ibkr! https://t.co/GBRXMvXJsy

[Monkey D. Efi @Monkey_D_Efi]

@notjustcycling @aleabitoreddit Ibkr https://t.co/GBRXMvXJsy

[Monkey D. Efi @Monkey_D_Efi]

@hthakkar7298 @aleabitoreddit https://t.co/GBRXMvXJsy ibkr best

[Alex Finn @AlexFinn]

Look at this image

THIS is why AI is the greatest opportunity in human history right now

It's the most powerful technology ever created, yet about .01% of people are using it properly

In a decade 75% of this chart will be red. Until then you have the greatest arbitrage opportunity to use this tech to build INCREDIBLE businesses

Everyone using OpenClaw, Claude Code, and Codex to build and automate their lives have an OBSCENE advantage right now

If you're not, I'd take these steps immediately:

1. Install OpenClaw/Hermes
2. Brain dump everything about your life and career
3. Ask it what tasks it can automate
4. Ask it what businesses you can build
5. Download Claude Code or Codex depending on what subs you have
6. Take the plan from OpenClaw and put it into your builder of choice
7. Build the business
8. Talk about it on social media

Do these steps and you're literally in the top .01%

[SCIFI @IamColt13]

@bryan_johnson Quick 1 prompt infograph!

[Monkey D. Efi @Monkey_D_Efi]

@aleabitoreddit 9880 Ubtech HKEX!

[fabiano.sol @FabianoSolana]

https://t.co/86Bqx2ngtR

[Eli5DeFi @Eli5defi]

Let’s talk about Open Interest (OI), since many of you might not know what it’s supposed to show.

Open Interest = how much leverage is currently open in the market.

OI does not tell you whether traders are mostly long or short. It tells you how much active positioning exists.

- When OI rises, more contracts are being opened than closed.
- When OI falls, more contracts are being closed than opened.

Think of it like this:

- Price = direction
- Volume = activity
- Open Interest = fuel
- Funding = who is paying to stay in the trade

Funding matters because, in perpetual futures, longs and shorts pay each other periodically.

- Positive funding means longs pay shorts.
- Negative funding means shorts pay longs.

So, funding helps you see which side is more crowded.

For a quick cheat sheet, check below ⤵

[Monkey D. Efi @Monkey_D_Efi]

@persianoptionsx Open ibkr ser https://t.co/GBRXMvXJsy

[CyrilXBT @cyrilXBT]

INSTEAD OF WATCHING NETFLIX TONIGHT

Spend 1 hour with this Bloomberg Terminal lecture.

It will teach you more about how markets actually work than a 2-month internship at Goldman Sachs or JPMorgan.

Goldman analysts pay $25,000 a year just for terminal access.

You are getting the full lecture for free.

The traders who watch this tonight will understand something most people spend YEARS trying to figure out on their own.

The ones who skip it will keep blaming the market for their losses.

Completely free.

Bookmark this before you scroll past it.

[Ben Word @retlehs]

TIL you can pull the backlinks to any domain for free (instead of using a service that charges hundreds a month) using Common Crawl's web graph. Wrote a tiny bash script:

https://t.co/KDVhYMjhq8

[Stacy Muur @stacy_muur]

If you have <1K followers on X, use this ↓

[Luc @investingluc]

here is the prompt I used on @perplexity_ai max (Computer)...feel free to mess around with the weightings, etc.

-----------------------
PROMPT: Build “Should I Be Trading?” — Bloomberg Terminal-Style Market Dashboard

Build a live, auto-refreshing Bloomberg Terminal-style web dashboard called “Should I Be Trading?” that evaluates the current stock market environment and outputs a clear, actionable trading decision for swing traders.
---
Core Output

The system must display:

1. Decision: YES / CAUTION / NO
2. Market Quality Score: 0–100%
3. Execution Window Score: 0–100% (separate)
4. Plain-English Summary: concise explanation of the environment
---
Data Inputs (Live or Latest Available)

Volatility / Risk
- VIX level, trend (5d slope), and 1-year percentile
- VVIX (if available)
- Put/Call ratio (estimate if needed from VIX regime)

Trend & Structure
- S&P 500 (SPY) vs 20 / 50 / 200-day moving averages
- QQQ vs 50-day moving average
- SPY 14-day RSI
- Market regime classification: uptrend / downtrend / chop

Breadth
- % of stocks above 20d / 50d / 200d moving averages
- NYSE Advance/Decline line + daily ratio
- Nasdaq new highs vs new lows
- McClellan Oscillator (optional if available)

Momentum / Participation
- All 11 S&P sector ETFs: XLK, XLF, XLE, XLV, XLI, XLY, XLP, XLU, XLB, XLRE, XLC
- Top 3 vs bottom 3 sector performance (relative strength spread)
- % of stocks making higher highs

Macro / Liquidity
- 10-Year Treasury yield (level + short-term trend)
- Dollar Index (DXY trend)
- Fed stance (derived or labeled: hawkish / neutral / dovish)
- FOMC calendar (flag if event within 72 hours or same day)
- Optional: CPI / Jobs flags
---
Scoring System

Calculate category scores (0–100):

- Volatility: 25%
- Momentum: 25%
- Trend: 20%
- Breadth: 20%
- Macro/Liquidity: 10%

Then compute:

Market Quality Score = weighted average
---
Decision Logic

- 80–100 → YES
Full position sizing, press risk

- 60–79 → CAUTION
Half size, A+ setups only

- <60 → NO
Avoid trading, preserve capital
---
Execution Window Score (Critical Layer)

Separate score that evaluates whether setups are actually working:

- Are breakouts holding above pivot levels?
- Are leading stocks maintaining gains after breakout?
- Are pullbacks being bought quickly?
- Is there multi-day follow-through?

Score 0–100 and factor into final explanation (but NOT the main score weighting).
---
UI / UX Requirements (Bloomberg Terminal Style)

Visual Style
- Dark blue/black background
- Monospace font
- Green / red / amber indicators
- Minimal, dense, high-signal layout
---
Layout

Top Bar
- Scrolling ticker (SPY, QQQ, VIX, DXY, TNX, sectors)
- Status indicator: LIVE / UPDATING
- Last updated timestamp (“updated 12s ago”)
- Manual refresh button
---
Hero Panel
- Large “Should I Trade?” decision badge (YES / CAUTION / NO)
- Circular score visualization (0–100%)
- Subtext: “Market Quality Score”
---
Core Panels (Grid)

Each panel includes:
- Current value
- Direction (↑ ↓ →)
- Interpretation (healthy / weakening / risk-off)

Panels:
1. Volatility
2. Trend
3. Breadth
4. Momentum
5. Macro
---
Sector Heatmap
- Horizontal bar visualization of 11 sector ETFs
- Highlight leaders vs laggards
---
Scoring Breakdown Panel
- Show weight + score per category
- Visual contribution to total score
---
Alert Banner
- Display when FOMC / CPI / major macro event is imminent
---
Terminal Analysis (AI Layer)

Generate a short explanation like:

“This is a strong trend environment with expanding breadth and moderate volatility. Sector leadership is concentrated in technology and industrials. Favor selective swing trades with disciplined risk.”
---
Mode Toggle
- Swing Trading Mode
- Day Trading Mode (adjust thresholds slightly tighter and faster)
---
Technical Requirements

- Auto-refresh every 45 seconds
- Server-side cache (30 seconds) to reduce API load
- Loading skeleton states while fetching
- Error handling for missing data
- Modular architecture (easy to swap APIs)
---
Output Requirements

Return:

1. Full frontend layout (React preferred, Tailwind optional)
2. Backend/data aggregation logic (Node or Python)
3. Clear scoring formulas (editable)
4. Example output using current/latest market data
5. API recommendations (free + paid)
---
Success Criteria
- Clean, fast, high-signal UI
- Accurate regime detection
- Simple, trustworthy YES / NO output
- Feels like a personal risk manager, not just a data dashboard

♥️Luc