πŸ‡¨πŸ‡­ Global One SI - Prompt
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πŸŽ—GLOBAL ONE is a live super intelligence (SI) built on real-time dataβ€”designed for decisions. Currently focused on global financial markets

t.me/Prompts_SI @Global_one - Software/Developer/Programmer - Globalone.ch - Prompt - AI - Super Intelligence
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25 Strongest Industry Groups At 1-Month RS 100%

$DXYZ β€” Pre-IPO & Private Unicorn Equity
$AIQ β€” AI Software & Data Processing
$EWY β€” South Korea Equities
$QTUM β€” Quantum / AI
$DRIV β€” EV & Autonomous Vehicles
$BUZZ β€” Social Media
$SOXX β€” Broad Semiconductor
$ROBO β€” Robotics & Automation
$SMH β€” Semiconductor Giants
$SPMO β€” S&P 500 Momentum
$BAI β€” AI & Tech Active
$XSD β€” Semiconductors (Equal Weight)
$FDRV β€” EV & Future Transportation
$PBW β€” Clean Energy
$TAN β€” Solar
$ARKW β€” ARK Internet & Next-Gen Tech
$GRID β€” Infrastructure & Electrical Equipment
$FFTY β€” IBD 50
$HYDR β€” Hydrogen Energy & Fuel Cells
$MEME β€” Meme Stocks
$ARKQ β€” ARK Robotics
$SOLZ β€” Solana Spot
$SLV β€” Silver
$DRAM β€” Memory
$NASA β€” Space Economy
$GSAT $RKLB $VOYG $ASTS $RDW | SpaceX eyes global spaceports to support a goal of over 1,000 Starship flights per year.

Ahead of a $1.75 Trillion June IPO, the firm is debuting Starship V3 on May 19, featuring Raptor 3 engines and a redesigned "launch and catch" pad.
$BKSY $LUNR $VOYG $RKLB $PL | Quantum Space picks Tulsa for a new spacecraft manufacturing facility to build the Ranger fleet.

The site will focus on large propulsion tanks and precision parts, strengthening domestic capacity ahead of the Ranger Prime mission in June.
$MP $UUUU $UAMY $USAR $LAC $CRML | Sojitz Corp. scouts Laos, Cambodia, and Vietnam for rare earth mining opportunities.

Aiming to boost output beyond Australian partnerships, the company is diversifying into SE Asian ionic clays to secure a stable supply of heavy rare earths.
$UMAC $LUNR $RKLB $ONDS $KTOS | A new CBO report projects the "Golden Dome" missile shield will cost $1.2T over 20 years, far exceeding initial $185B estimates.

Space based interceptors drive 70% of costs as the 7,800 satellite project enters next funding phase.
πŸ‡¨πŸ‡­ Global One SI - Prompt
How a Weather Trading Bot Automatically Finds Every Relevant Market on Polymarket in Seconds From slug generation to parsing outcome prices - full technical breakdown Using only two Gamma API endpoints > Step 1 - Build the event slug Polymarket names events…
Half the broken Polymarket bots I've seen fail because the dev used the wrong API for the wrong job

Gamma API and CLOB API are two completely different layers

Here's exactly what each one does -and how to connect them correctly in your bot

> Gamma API - market discovery

Public. No auth required. No wallet needed

This is where you find markets, read prices, get metadata. Key endpoints:

β€’ GET gamma-api.polymarket.com/markets?conditionId={conditionId} - single market details (recommended, returns object)
β€’ GET gamma-api.polymarket.com/markets?ids={conditionId} - market details (returns array)
β€’ GET gamma-api.polymarket.com/events?slug={slug} - event by slug + all markets inside
β€’ GET gamma-api.polymarket.com/events/slug/{slug} - direct event access (even cleaner)
β€’ GET gamma-api.polymarket.com/markets?tag_id={id}&active=true - active markets by category
β€’ GET gamma-api.polymarket.com/public-search?q=?{query} - market search (use q= only)

Most important field in the response:

clobTokenIds[] - array of two token IDs
clobTokenIds[0] = YES token
clobTokenIds[1] = NO token

These are your bridge to trading

> CLOB API - trade execution

β€’ GET clob.polymarket.com/book?token_id={id} - live order book
β€’ GET clob.polymarket.com/price?token_id={id}&side=buy - best available price
β€’ GET clob.polymarket.com/midpoint?token_id={id} - midpoint price
β€’ GET clob.polymarket.com/spread?token_id={id} - spread
β€’ GET clob.polymarket.com/last-trade-price?token_id={id} - last trade price
β€’ GET clob.polymarket.com/fee-rate?token_id={id} - fee rate
β€’ GET clob.polymarket.com/tick-size?token_id={id} - tick size
β€’ GET clob.polymarket.com/time - server time (for nonce)

Only trading endpoints require auth (POST /order, cancels, etc.)

> Correct two-step flow

# Step 1: Gamma - get metadata + token IDs

r = requests.get(f"gamma-api.polymarket.com/markets?conditionId={market_condition_id}")
data = r.json()
token_id_yes = data["clobTokenIds"][0]

# Step 2: CLOB - read endpoints work without auth

price_resp = requests.get(f"clob.polymarket.com/price?token_id={token_id_yes}&side=buy")
price = float(price_resp.json()["price"])

You cannot place orders with conditionId. CLOB only understands token_id.

> Right bot architecture:

Gamma for discovery β†’ CLOB for execution (and now all market data reads are public)

If your bot is broken = 90% of the time you’re either hitting the wrong endpoint on Gamma or using outdated assumptions about CLOB auth

Save this - it’s 100% synced with official docs
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🚨 πŸ‡ΊπŸ‡ΈπŸ‡¨πŸ‡³ Trump has landed in Beijing for 2 days of very important talks with Xi.

Key topics on the table:

β€’ Trade & tariffs
β€’ AI and semiconductors
β€’ Taiwan
β€’ Iran and energy flows
β€’ Rare earth supply chains

This is the first US presidential visit to China in nearly a decade.

Trump and Xi are expected to meet Thursday morning local time in what could become one of the most important geopolitical meetings of the year.
πŸ‡¨πŸ‡­ Global One SI - Prompt
$ZSQR is starting to show early signs of stabilization after the post-merger reset. Several technical indicators are now beginning to display positive divergences while the stock continues trading near deeply oversold conditions. β†’ RSI attempting to recover…
Starting to see the exact type of stabilization discussed yesterday πŸ‘€

$ZSQR bouncing directly from the key support area while downside momentum continues fading.

Yesterday:
β†’ panic was fading
β†’ selling pressure was weakening
β†’ momentum exhaustion was beginning to appear

Today:
πŸ“ˆ buyers finally stepping in
πŸ“ˆ strong reaction off support
πŸ“ˆ structure beginning to improve

Still early β€” but this is usually how reversals begin:
β†’ sellers exhaust themselves
β†’ attention slowly returns
β†’ momentum starts rebuilding

If buyers continue reclaiming momentum from here, the $13.50 zone starts coming back into focus again πŸ‘€
πŸ‡¨πŸ‡­ Global One SI - Prompt
$REPL Wants the Gap Filled
$REPL acting like a I mentioned! Amazing performance here
πŸ’―2
18% of US businesses are already using AI in 2026.

Among companies with 250+ employees, that number jumps to 32.5%.

This map shows the demand side of the AI economy who's adopting, where, how fast.

It's the wrong half of the trade.

Because every percentage point on this map turns into compute load.

Compute load turns into gigawatts of electricity demand.
And in the 2026–2028 window, the marginal megawatt for US AI is gas-fired.
Nuclear is too slow.
Renewables can't carry baseload at this density.

The 18.7 GW of new combined-cycle gas capacity going in by 2028 is the largest single-year CCGT addition since 2018 and most of it is being built specifically for AI campuses.

That gas has to come out of the Permian and almost nobody is asking the obvious next question:

Who actually owns the pipes between Permian gas supply and every AI data center being built in Texas and the Gulf?(
πŸ”₯1
πŸ‡¨πŸ‡­ Global One SI - Prompt
$NBIS Beast!!! Breaking up resistances lines!! What is next target?
Nebius Group $NBIS reports Q1 revenue of $399M, up 684% year over year.

Beyond beating estimates, the firm announced a 1.2GW AI Factory in Pennsylvania to support a $50B backlog for $MSFT Microsoft and $META Meta. Adjusted EBITDA swings to a $129.5M profit.
🚨 Look where US data center growth is going:

πŸ‡ΊπŸ‡Έ Texas: +142% market share by 2028
πŸ‡ΊπŸ‡Έ Georgia: +75%
πŸ‡ΊπŸ‡Έ Virginia: -35% despite still being the world’s largest data center hub

Most people see this as a land and cooling story.

It’s not.

It’s a power story⚑️

When one state adds 40 GW of new data center capacity in just a few years, the constraint stops being chips or real estate.

It becomes electricity.

And in Texas, the marginal megawatt for AI through 2028 is overwhelmingly gas fired.

So the real question is who owns the pipes feeding the AI boom?
$OKLO $UUUU $LEU $CCJ $NNE | AI hyperscalers are securing nuclear baseload to hedge against $111 oil and high storage costs for renewables.

With uranium demand hitting 87,000 tonnes by 2030, tech giants are outbidding utilities to lock in long term supply certainty.
$FEAM β€” Starting to look VERY interesting here πŸ‘€

After months of heavy downside pressure… this chart is finally showing signs of life again.

Price just pushed back through the key $1.80 resistance zone with volume increasing and momentum beginning to curl higher.

This is exactly how reversal structures start building.

The Technicals:

βœ… Clean breakout over descending resistance
βœ… TTM Squeeze resetting for expansion
βœ… Buyers stepping back in on volume
βœ… RSI reclaiming strength
βœ… Base formation developing after capitulation

The risk/reward here starts getting attractive if momentum continues building above:
β€”> $1.95–$2.00

And if this fully confirms the reversal…
- $2.75+
- $3.25+ becomes possible fast.

Small-cap materials names can move violently once momentum traders pile in.

Still feels EARLY before the crowd notices.
Top 100 24h Gainers πŸš€

KITE      $0.2112            +13.89%
INJ        $5.32                +13.44%
STX        $0.2749            +6.59% 
TIA        $0.4662            +6.57% 
EDGE      $1.33                +4.93% 

Top 100 24h Losers πŸ”»

VVV        $14.53             -10.52%
H            $0.2399            -9.82% 
LUNC      $0.00008591  -8.69% 
TON        $2.13                -6.93% 
PENGU    $0.009043      -4.79%
🚨 Look at the size of those circles in Texas

in the image is mapped every major US data center against the high-voltage transmission grid.

The biggest clusters by far sit inside the Dallas–Fort Worth–Houston triangle.

It’s actually an energy map.

The visible layers are:

🟀 Data centers = demand
⚑ Transmission lines = delivery

The invisible layer is the one that matters most:
πŸ”₯ Power generation

And in Texas, the marginal megawatt feeding AI through 2028 is gas-fired.

That gas comes from the Permian.

So the real question is not who owns the AI models.

It’s: who owns the pipes connecting Permian gas to the Texas AI corridor?
🚨$5.5 trillion

That's Nvidia today

the first company in history to clear $5T market cap.

The market is pricing NVIDIA as the picks and shovels of the AI build.

But you must know the following...

A GPU is a brick of silicon until firm electricity reaches it.

In the 2026–2028 window, the marginal megawatt powering US AI is gas-fired.

Nuclear is too slow.
Renewables can't carry baseload at this density.

In US the 18.7 GW of new combined cycle gas capacity going in by 2028 is the largest single year most of it built specifically for AI campuses in Texas and along the Gulf.

That gas has to come out of the Permian.

So if Nvidia is "picks and shovels" at $5.5 trillion, what does that make the company that owns the pipes feeding every shovel in Texas?