RSQ

[Rand Group @randgroup]

One image that explains the next trillion dollar industry better than any analyst report.

Building a humanoid robot requires an 8-layer supply chain most people have never thought about:

Energy ($UUUU, $OKLO) → Chips ($TSM, $AMD, $NVDA, $ASML) → AI models ($GOOG, $TSLA) → Data centers ($CRWV, $IREN, $NBIS) → Servers ($DELL, $CLS, $CSCO) → Sensors ($ADI, $OUST, $CGNX) → Batteries ($QS, $ABAT) → Testing ($TER)

The companies supplying AI infrastructure saw $318 billion in spending last year alone. That doubled from the year before.

Now add the robotics demand on top. Tesla is converting its Fremont factory from cars to robots. Figure AI just helped BMW build 30,000+ vehicles with humanoid workers.

The robots are here and the supply chain to build them is investable today.

[Dhaval Makwana @heyDhavall]

List of 9 websites where you can download unlimited books for free:

1. smashwords .com
2. baen .com
3. feedbooks .com/publicdomain
4. wikibooks .org
5. google books
6. openstax .org
7. bookboon .com
8. freecomputerbooks .com
9. standardebooks .org

[Anatoli Kopadze @AnatoliKopadze]

https://t.co/xHKvUDKhG2

[Michael | Hypermarkets @itsmichaelluu]

You're a millionaire trader in 12 months (timeline for self-study)..

Print this off then check it off when you have mastered the concept.

Months 0–1

1. Risk management
Only risk fixed amounts daily and survive long enough to improve consistently.

2. One setup mastery
Trade only one repeatable setup daily until execution becomes completely automatic.

3. Stop-loss discipline
Exit immediately at invalidation level without hesitation, hope, fear, or revenge.

4. Emotional control
Detach emotions from outcomes and focus entirely on process and execution.

5. Market awareness
Understand market trend, key levels, news events, and overall market sentiment.

6. Journal everything
Record every trade, mistake, emotion, and lesson after market closes daily.

Months 2–3

7. Patience mastery
Wait hours for A+ setups instead of forcing random low-quality trades.

8. Entry precision
Enter only near support, resistance, retests, or strong confirmation zones consistently.

9. Reward-to-risk understanding
Take trades minimum 2:1 reward-risk with asymmetric upside potential always available.

10. Position sizing
Increase size slowly only after consistency and emotional stability are fully proven.

11. Routine building
Create identical daily premarket, trading, and postmarket review habits every day.

12. Selling discipline
Hold winners until targets hit instead of selling early from fear repeatedly.

Months 4–6

13. Price action reading
Study candles, liquidity, momentum shifts, and market structure every single session.

14. Market psychology
Recognize fear, greed, manipulation, traps, and emotional crowd behavior quickly daily.

15. Trading fewer setups
Focus on highest probability opportunities instead of overtrading unnecessary market noise constantly.

16. Capital preservation
Protect account aggressively during difficult periods and reduce size after consecutive losses.

17. Macro understanding
Track interest rates, inflation, earnings, bonds, and geopolitical market-moving catalysts daily.

18. Confidence building
Trust proven strategy statistics instead of reacting emotionally during temporary drawdowns.

Months 7–9

19. Consistency focus
Prioritize consistent execution daily instead of chasing massive unrealistic trading profits immediately.

20. Advanced journaling
Analyze recurring behavioral mistakes weekly and systematically eliminate emotional execution weaknesses.

21. Holding runners
Allow strong trends to continue instead of exiting profitable trades too early.

22. Adapting to volatility
Adjust position sizing and expectations depending on current market conditions intelligently daily.

23. Time management
Trade only optimal hours and avoid random impulsive trades outside plan entirely.

24. Building edge
Refine setups through statistics, repetition, and identifying unique repeatable market advantages consistently.

Months 10–12

25. Scaling responsibly
Increase size carefully while maintaining same emotional discipline and execution quality daily.

26. Protecting mental health
Sleep properly, exercise consistently, and avoid burnout affecting trading decisions negatively.

27. Advanced execution
Master scaling in, scaling out, and managing trades during high volatility environments.

28. Wealth preservation
Focus on protecting profits, taxes, cash flow, and long-term wealth compounding strategically.

29. Business mindset
Treat trading professionally with systems, routines, discipline, and measurable performance tracking daily.

30. Millionaire mindset
Think long-term, stay process-driven, and compound small advantages relentlessly every single day.

[Michael | Hypermarkets @itsmichaelluu]

The AI supercycle is 15 years long! This is only year 3.

Invest in these companies and you're a millionaire in less than 10 years.

This is AI infrastructure value chain (every key player)

Remember, data centers are the factories of the AI economy.

⚡ POWER & ENERGY
• $NEE — Largest US renewable utility, powering data center scale
• $VST — Nuclear + gas fleet; the always-on AI power play
• $CEG — America's top nuclear op; clean baseload for hyperscalers
• $GEV — Builds turbines + grid gear for the AI buildout
• $DUK — Southeast utility with surging data center load growth

🏗 REAL ESTATE & SITE
• $DLR — Global colo REIT leasing space to cloud + AI firms
• $EQIX — World's largest DC REIT; interconnects clouds at neutral hubs
• $PLD — Industrial REIT expanding into power-dense DC development

🔧 CORE INFRASTRUCTURE
• $VRT — Power + cooling systems inside data centers; GPU bottleneck play
• $ETN — Power management hardware protecting facilities from surges
• $CAT — Diesel backup generators — every data center runs on them
• $JCI — HVAC + building mgmt keeping hyperscale facilities cool

💻 IT HARDWARE & NETWORKING
• $NVDA — Makes the GPUs running every AI model. The moat.
• $DELL — Servers housing GPU clusters in AI data centers
• $SMCI — Custom GPU servers + liquid cooling for AI racks
• $ANET — High-speed switches connecting GPU clusters at hyperscale
• $AVGO — Custom AI chips + networking silicon inside every cloud
• $MRVL — Data center silicon + optical interconnects for AI bandwidth

🖥 SOFTWARE & MANAGEMENT
• $MSFT — Azure + enterprise software; deepest AI integration of any cloud
• $NOW — IT workflow automation managing enterprise DC operations
• $NVDA (DGX SW) — Full-stack AI software optimizing GPU utilization

☁️ END USERS & HYPERSCALERS
• $AMZN (AWS) — World's largest cloud; rents AI compute to everyone
• $GOOGL — Gemini-powered cloud competing for AI training workloads
• $META — One of the largest GPU buyers on earth; builds own infra
• $TSLA — Training massive AI for FSD; building its own Dojo supercomputer

The big picture:

→ Energy + Infrastructure + Compute = The AI Moat
→ The strongest positions own the bottlenecks
→ Every layer matters. The factories are being built now.

Remember, these 3 words land, power and supply for AI.

[Roan @RohOnChain]

Oxford Bible -
https://t.co/HSENPyoGOu

[Michael | Hypermarkets @itsmichaelluu]

The AI supercycle is year 3 of 15. You're still super early!

Millionaires will be made by knowing whats coming and being patient. This is buy and hold market.

Pay attention, we just finished Phase 1 2023-2025

$NVDA → AI GPU king powering training, inference, and hyperscaler demand.

$MU → High-bandwidth memory critical for AI servers and massive compute.

$COHR → Photonics and optical connectivity enabling ultra-fast AI data transfer.

$MRVL → Custom AI networking chips powering cloud and hyperscale infrastructure.

PHASE 2 transititioning into in 2026–2027

$IREN → AI-focused data centers securing scalable power for compute expansion.

$WULF → Energy-efficient infrastructure supporting massive AI compute requirements globally.

$VRT → Cooling and power systems preventing AI data center bottlenecks.

$ETN → Electrical infrastructure backbone powering hyperscale AI facility growth worldwide.

$CEG → Nuclear and clean energy demand exploding from AI power consumption.

$ANET → High-speed networking moving enormous AI workloads between GPU clusters.

$MRVL → AI networking silicon connecting compute, memory, and cloud infrastructure.

PHASE 3 (this is massive bottleneck from 2027-2029)

$MP → Rare earth materials essential for robotics, EVs, and defense systems.

$USAR → Domestic critical mineral supply chain supporting future AI manufacturing.

$ASTS → Space-based connectivity enabling global autonomous and AI communication networks.

$RKLB → Affordable launch infrastructure supporting defense, satellites, and AI expansion.

$KTOS → Autonomous warfare and AI-driven military systems entering mass adoption.

$TSLA → Real-world AI robotics, autonomy, manufacturing, and autonomous transportation leader.

$SYM → Warehouse robotics automating global logistics with AI-powered machine systems.

PHASE 4 — Full automation (2030+)

$MSFT → AI operating layer integrating agents into enterprise software ecosystems.

$GOOGL �� Search, infrastructure, and AI distribution dominance across the internet.

$META → Consumer AI ecosystem integrating assistants, commerce, and social platforms.

Quantum plays → Next-generation computing unlocking exponential AI capability breakthroughs.

The pattern is simple:
Infrastructure → Expansion → Domination.
We are only in Year 3 of 15.

[CryptoSoulz @SoulzBTC]

Claude Trading Folder

I’ve compressed the best trading prompts into one PDF

Get it for FREE:

• Like + Repost + Comment “TRADING”
• Follow me so I can DM you

[Roan @RohOnChain]

Jane Street pays $650,000 a year for quants. MIT wrote the exact bible to get there & released it for free.

51 pages. Zero to quant. Probability, stats, market making, real interview questions from Jane Street, Citadel, Two Sigma & more. Bookmark, before someone takes it down.

[Sunil Gurjar, CFTe @sunilgurjar01]

Nobody talks about this 72-minute lecture. It’s pure billion-dollar strategy.

Free.

MUST BOOKMARK

[Movez @0xMovez]

this 1 hour MIT lecture on "option price & probability duality" will teach you more about options trading than a 2 month internship at Wall Street hedge fund

Bookmark & give it 1 hour, no matter what. It'll be the most productive thing you do this weekend.

[CyrilXBT @cyrilXBT]

INSTEAD OF WATCHING NETFLIX TONIGHT.

Spend 1 hour with this.

A Bloomberg Terminal lecture that teaches you more about how markets actually work than a 2 month internship at Goldman Sachs or JPMorgan.

The people who watch this tonight will understand something most traders spend years figuring out.

Completely free.

Bookmark this before you scroll past it.

[Roan @RohOnChain]

This 1 hour Yale lecture will teach you more about options trading & the exact models Hedge Funds use than most people learn in their entire careers on Wall Street.

Bookmark this & watch, no matter what. It’ll be the most productive start for your week. Then read article below.

[AI Panda @AIPandaX]

Skip Sunday movie night and watch this 1-hour MIT lecture by Jim Simons: it's Kasparov-level strategy applied to markets.

[Jaynit @jaynitx]

This 1 hour interview with the mathematician who outperformed Buffett, Soros, and Dalio, generated $100B+, avg. 66% returns will teach you more about investing than a $200K MBA.

Bookmark this & give it 1 hour, no matter what. It’ll be the most productive thing you do this week.

[DANNY @Danny_Crypton]

🚨 WARNING: A BIG STORM IS COMING!!!

99% OF PEOPLE WILL LOSE EVERYTHING IN 2026,
No rage bait or clickbait listen..

Fed just released new macro data and it’s WORSE than expected.

If you currently hold assets,
you’re not going to like what comes next:

A global market crash is approaching, yet most people don’t even realize what’s happening.

A systemic funding issue is quietly forming beneath the surface, and almost no one is positioned for it.

The Fed has already been forced into action.

The balance sheet has expanded by roughly $105 billion.
The Standing Repo Facility added $74.6 billion.
Mortgage-backed securities jumped $43.1 billion.
Treasuries rose just $31.5 billion.

This is not bullish QE.

This is the Fed injecting liquidity because funding conditions tightened and banks needed cash.

When the Fed is absorbing more MBS than Treasuries, it tells you the collateral coming to the window is deteriorating.
That only happens under stress.

Now add the bigger problem most people are ignoring.

U.S. national debt is at an all-time high.
Not just nominally - structurally.
Over $34 trillion and rising faster than GDP.

Interest expense alone is exploding, becoming one of the largest line items in the federal budget.
The U.S. is issuing more debt just to service existing debt.

That’s the definition of a debt spiral.

At these levels, Treasuries are no longer “risk-free.”

They’re a confidence instrument.
And confidence is what’s starting to crack.
Foreign demand for U.S. debt is weakening

Domestic buyers are price-sensitive.
The Fed becomes the buyer of last resort - whether they admit it or not.
This is why funding stress matters so much right now.

You cannot sustain record debt levels when funding markets tighten.
You cannot run trillion-dollar deficits when collateral quality is deteriorating.

And you cannot keep pretending this is normal.

This isn’t just a U.S. problem either.
China is doing the exact same thing at the same time.
The PBoC injected more than 1.02 trillion yuan via 7-day reverse repos in a single week.

Different country.
Same issue.
Too much debt.
Too little trust.

And a global system built on rolling over liabilities that no one actually wants to hold.
When both the U.S. and China are forced to inject liquidity simultaneously, this isn’t stimulus.
It’s the global financial plumbing starting to clog.

Markets always get this phase wrong.
People see liquidity injections and assume it’s bullish.
It isn’t.

This isn’t about supporting prices.
It’s about keeping funding alive.
And when funding breaks, everything else turns into a trap.

The order is always the same.
Bonds move first.
Funding markets show stress before equities.
Stocks ignore it - until they can’t.
Crypto sees the most violent drops.

Now look at the signal that actually matters.
Gold is at all-time highs.
Silver is at all-time highs.
This isn’t a growth narrative or an inflation trade.
This is a rejection of sovereign debt.

Capital is leaving paper promises and moving into hard collateral.
That doesn’t happen in healthy systems.
We’ve seen this exact setup before.

→ 2000 before the dot-com collapse.
→ 2008 before the global financial crisis.
→ 2020 before the repo market seized.

Every time, recession followed soon after.
The Fed is cornered.

If they print aggressively to absorb record debt issuance, precious metals surge and signal loss of control.
If they don’t, funding markets lock up and the debt burden becomes unserviceable.

Risk assets can ignore this for a while - but never forever.
This is not a normal cycle.
This is a balance-sheet, collateral, and sovereign debt crisis developing quietly.

I’ve studied macro for 10 years and I called almost every major market top, including the October BTC ATH.

Follow and turn notifications on. I’ll post the warning BEFORE it hits the headlines.

[Invest In Assets 📈 @InvestInAssets]

Bull & Bear markets:

[Invest In Assets 📈 @InvestInAssets]

Keep your eye on reinvestments: