$SKYQ 👀

This chart is starting to look VERY interesting after the brutal selloff from $19.

Now:
✅ Panic selling appears exhausted
✅ Buyers defending the $2.35-$2.50 zone
✅ Strong bounce off support
✅ RSI curling up from oversold conditions
✅ Market cap under $10M
✅ Previous squeeze history proves this thing can move FAST
This is exactly the type of setup momentum traders start watching closely:
→ extreme washout
→ capitulation
→ base formation
→ reversal attempt
And if volume returns…
There’s a LOT of air above current levels.
Tiny caps can become explosive once sentiment flips

$ZSQR is now entering the kind of territory where shorts historically become dangerously overconfident.

This is:
⚠️ a micro float
⚠️ deeply oversold
⚠️ sentiment exhausted
⚠️ retail interest washed out
⚠️ while the broader AI infrastructure narrative keeps accelerating across the market.

Meanwhile the company continues positioning around:
⚡ compute infrastructure
⚡ power-driven operations
⚡ energized capacity
⚡ AI-ready infrastructure

The market keeps talking about:
→ compute shortages
→ power bottlenecks
→ exploding AI demand
→ infrastructure scarcity

Yet names connected to that theme at smaller caps continue being aggressively pressured.

History has shown many times what happens when crowded shorts meet renewed narrative momentum on low-float names.

At these levels, risk/reward starts becoming very asymmetric.

#ZSQR #AIInfrastructure #Compute #DataCenters $SPY $QQQ $NVDA $NBIS $IREN

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.

#earnings for the week of May 18, 2026

$NVDA $ELF $ADI $NIO $INTU $BIDU $DECK $HD $BULL $WMT $DE $VFC $VRT $KEYS $ZIM $ZM $TTWO $TGT $CAVA $AGYS $TOL $WDAY $LOW $ARCO $TOYO $URBN $WMS $AS $HAS $CPRT $GDS $SBLK $NDSN $FATN $STEP $RL $AAP $ECC $NRXP $TJX $LSPD $BJ $HLNE $BAH $AUNA $DAVA $RERE $CCIF $YMM $CGEN

Next week’s earnings is all about 𝗡𝘃𝗶𝗱𝗶𝗮 🤖🔥 $NVDA

Will they crush earnings once again and send AI stocks even higher? 📈
Or could one weak number shake the entire market? 📉

$NVDA/USD H2 #Indicator #Signal #Trading #GlobalOneAI

THE SWISS NATIONAL BANK OWNS $173.8 BILLION IN U.S. STOCKS 🇨🇭

That is equivalent to 19% of Switzerland's entire GDP

Here are their biggest positions:

Nvidia $NVDA: $12.4B
Apple $AAPL: $10.9B
Alphabet $GOOGL: $9.0B
Microsoft $MSFT: $7.7B
Amazon $AMZN: $5.9B
Broadcom $AVGO: $4.1B
Meta $META: $3.7B
Tesla $TSLA: $3.1B
Eli Lilly $LLY: $2.2B
Exxon $XOM: $2.1B

46.6% of the entire portfolio is in technology stocks alone

Every data center, LNG terminal, and gas power plant being built right now needs one of these three machines.

The 3 H-class platforms competing for the largest power buildout in a generation:

⚡ GE Vernova 9HA.02
838 MW | 64.1% efficiency | 88 MW/min ramp | <30 min hot start
178+ units deployed | 3M+ operating hours

⚡ Siemens Energy SGT5-9000HL
~880 MW | >64% efficiency | >600°C steam conditions
The thermodynamic frontier of this class

⚡ Mitsubishi Power M701JAC
840 MW | >64% efficiency | 50% turndown
Reliability-driven, maximum operational flexibility

Risk-adjusted final ranking:

🥇 GE Vernova 9HA.02 fleet scale, operational maturity, execution certainty
🥈 Siemens SGT5-9000HL best engineering and thermodynamic design
🥉 Mitsubishi M701JAC best balanced, conservative reliability approach

Qatar is offline.
Russian gas is sanctioned.
Iran is at war.

American gas 110 BCF/day is the only large scale, stable supply left standing.

And domestic demand is about to surge on top of that.

By 2035, US data centers alone will consume 6.5 BCF/day — 10% of today's entire US output, added on top just for AI.

18.7 GW of new CCGT capacity going in by 2028.

Every gigawatt needs one of these machines.
Every machine needs gas.
Every molecule needs infrastructure to move it.

The turbine decision and the midstream decision are the same decision.

One turbine OEM owns that answer on the power side.

One midstream operator is positioned to own it on the infrastructure side.

We need to mine as much copper in the next 25 years as we did in the past 125... at 1/10th the grade.

The trade long the metal, long Freeport is already crowded....

So where is the real AI copper trade actually hiding?

This AI workflow will completely revolutionize how you trade.

If I had this years ago, I literally would've printed money.

In the right hands, this article is dangerous:

$OKLO $SMR $LEU $CCJ $UUUU | Goldman Sachs updates its nuclear model to include Small Modular Reactors, projecting a 17% upside in global Uranium demand.

Driven by AI data centers and a $1.1T SMR market opportunity by 2035, Goldman sees a structural nuclear resurgence.

$PL $RKLB $ASTS $VOYG $RDW | SpaceX shareholders approve a 5-for-1 stock split, adjusting the fair market value per share to $105.32 from $526.59.

The structural move increases liquidity and lowers the barrier for retail investors ahead of the anticipated June IPO.

47 leading names trading above $100M dollar volume and all major moving averages, all closing positive intraday today.

$RDW — Aerospace & Defense
$SATL — Aerospace & Defense
$FIGR — Capital Markets
$NOK — Communication Equipment
$DELL — Computer Hardware
$P — Computer Hardware
$STX — Computer Hardware
$WDC — Computer Hardware
$BLDP — Electrical Equipment & Parts
$FCEL — Electrical Equipment & Parts
$PLUG — Electrical Equipment & Parts
$VRT — Electrical Equipment & Parts
$OUST — Electronic Components
$TTMI — Electronic Components
$OSCR — Healthcare Plans
$KEEL — Information Technology Services
$VNET — Information Technology Services
$WRBY — Medical Instruments & Supplies
$SEI — Oil & Gas Equipment & Services
$VG — Oil & Gas Midstream
$AXTI — Semiconductor Equipment & Materials
$ALAB — Semiconductors
$MRVL — Semiconductors
$MXL — Semiconductors
$NVTS — Semiconductors
$SMTC — Semiconductors
$UMC — Semiconductors
$VSH — Semiconductors
$DDOG — Software Application
$FROG — Software Application
$BB — Software Infrastructure
$CORZ — Software Infrastructure
$CRWD — Software Infrastructure
$DOCN — Software Infrastructure
$NBIS — Software Infrastructure
$PANW — Software Infrastructure
$S — Software Infrastructure
$ENPH — Solar
$FSLR — Solar
$SEDG — Solar
$SHLS — Solar
$SOLS — Specialty Chemicals
$BW — Specialty Industrial Machinery
$LUMN — Telecom Services
$SATS — Telecom Services
$KNX — Trucking
$FLNC — Utilities Renewable

Calculates trading lot sizes based on risk tolerance

github.com/EarnForex/PositionSizer

How to master AI in under 30 days (FULL roadmap):

Two Separate Income Streams for Your Market-Making Bot on Polymarket (And How to Stack Them)

Most people think market making on Polymarket = earn the spread

That's only half the picture. There are actually two separate programs paying you simultaneously - and most bot devs are only plugged into one of them

> Program 1: Liquidity Rewards

Pays you for having limit orders sitting near the midpoint - your order doesn't even need to get filled. Scoring runs every minute via a quadratic formula:

score = size × (1 - |price - midpoint|)²

The closer to the midpoint, the higher your score. Each eligible market has its own daily reward pool, your cut is proportional to your score vs other makers in that market.

> Program 2: Maker Rebates

Funded by taker fees. When your resting order gets hit, the rebate is calculated as:

rebate = (your_fee_equivalent / total_fee_equivalent) × rebate_pool

Paid daily in USDC, proportional to your share of executed maker volume per market. Minimum $1 USDC to trigger payout

These two stack. Here's the logic of a single resting order:

- Order sits near midpoint → Liquidity Rewards accumulate every minute
- Order gets filled → Maker Rebate paid + spread captured

Both triggered by the same order. That's the point

> Bot strategy

Post two-sided quotes (bid + ask) at 1–2¢ from midpoint on eligible markets

While orders rest, LR scoring runs. When a taker hits you - spread + rebate fire simultaneously

At ~$10k deployed capital in current conditions: $30-80/day from Liquidity Rewards alone, rebates on top depending on fill volume

A well-architected maker bot on Polymarket 2026 doesn't choose between programs - it runs all three outputs from one resting order: spread + rebates + liquidity rewards simultaneously

$RR
Most investors still think AI is primarily a software story.

I think the next phase could become much more physical.

We’re starting to enter the era of:
⚡ embodied AI
⚡ robotics infrastructure
⚡ autonomous systems
⚡ labor automation
⚡ humanoid intelligence

And $RR is quietly positioning itself inside that transition.

What makes this interesting to me:

→ AI-powered robotics ecosystem
→ hospitality automation exposure
→ autonomous delivery systems
→ humanoid robotics angle
→ physical-world AI infrastructure
→ strong speculative momentum profile

Meanwhile, the weekly chart is compressing beneath major resistance while momentum indicators continue improving.

The market may still be underestimating how large the Physical AI trend could become over the next decade.

$ENPH
Everyone talks about AI demand.

Very few talk about the energy systems required to sustain it.

The next phase of AI infrastructure may require:
⚡ smarter grids
⚡ distributed energy systems
⚡ intelligent power management
⚡ decentralized infrastructure
⚡ real-time energy optimization
That’s why I’m paying close attention to companies operating at the intersection of:
AI + Energy + Infrastructure.
$ENPH is starting to look very interesting here.
The weekly chart is attempting a major reclaim while broader AI-power narratives continue strengthening across the market.
The market may still be underestimating how massive the intelligent energy layer could become during the next decade.

$SLNH might be one of the more interesting small-cap infrastructure stories developing right now.

Most people still associate the company primarily with crypto mining.

I think the bigger transition may be happening underneath:

⚡ renewable-powered compute infrastructure
⚡ modular AI-ready data centers
⚡ scalable energy deployment
⚡ HPC expansion
⚡ vertically integrated power exposure
As AI demand accelerates, the market is slowly realizing that:
compute without electricity means nothing.
That’s what makes companies operating at the intersection of:
Energy + Infrastructure + Compute
so interesting to me right now.
Meanwhile, the weekly chart is starting to look extremely constructive:
✔ huge volume expansion
✔ OBV acceleration
✔ reclaim structure improving
✔ momentum rebuilding
✔ strong higher-low formation

This may be becoming much bigger than a traditional “crypto infrastructure” story.