๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
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๐ŸŽ—GLOBAL ONE is a live super intelligence (SI) built on real-time dataโ€”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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๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
I went through 40+ Polymarket GitHub Repositories Looking For Production-Ready Code Most of them were incomplete, outdated or pure trash Only 4 stood out with actually usable, well-structured architecture worth studying 1. Polymarket/agent-skills - officialโ€ฆ
I found a GitHub repository with the most comprehensive Crypto UP DOWN market prediction system on Polymarket

Instead of trying to guess a single price, AI models generate 1000 full Monte-Carlo simulated price paths

This gives a much more realistic probability distribution for trading on Polymarket

synthdataco/synth-subnet is a subnet where AI models donโ€™t make simple directional predictions. Instead, they compete to create complete probability distributions of future price movement

Repo: github.com/synthdataco/synth-subnet

> How it works

Validators send a task to the miner with the following parameters:

โ€ข asset (BTC, ETH, SOL, etc.)
start_time
โ€ข time_increment (usually 5 minutes)
โ€ข time_horizon (1 hour or 24 hours)
โ€ข num_simulations (usually 1000)

The miner has until the start_time to return 1000 complete price paths - not a single number, but a full trajectory of price movement

> Quality Evaluation

They use CRPS (Continuous Ranked Probability Score) - one of the best metrics for evaluating probabilistic forecasts. It penalizes both poor calibration and distributions that are too vague or too overconfident

If youโ€™re building a trading bot, probability-based strategies, or AI agents for Polymarket, then #SynthdataCo have created one of the most interesting and technically solid repositories in this space right now
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$SPCE

Everyone laughed at Virgin Galactic for yearsโ€ฆ

But suddenly the story is starting to change again.

The company just confirmed:
โœ… First SpaceShip advancing through ground testing
โœ… Flight testing on track for Q3 2026
โœ… First spaceflight expected Q4 2026
โœ… Cash position still strong at $251M
โœ… Operating expenses dropping sharply
โœ… Net losses improving
โœ… EBITDA losses shrinking
โœ… Cash burn significantly reduced
And now the chart is quietly breaking out of a multi-month downtrend with MASSIVE volume returning.
This is what makes $SPCE dangerous:
The market cap is only ~$294Mโ€ฆ
but the brand recognition is GLOBAL.
The second retail realizes:
โ†’ flights are moving closer
โ†’ spending is declining
โ†’ survival odds improve
โ†’ commercial operations approach
โ€ฆthe โ€œdead companyโ€ narrative disappears FAST.
And when hated names start recovering from extreme pessimismโ€ฆ
the upside moves can become explosive.
The setup now looks very clear:
Break the downtrend.
Break through $3.30-$3.50.
Then momentum traders start piling in.
Space tourism narrative + improving fundamentals + returning liquidity = one hell of a combination. ๐ŸŒŒ๐Ÿ”ฅ
Exactly why patience matters. ๐Ÿ‘€

$SIDU went from โ€œdead chartโ€ to reclaiming the entire setup in days.

Now:
โœ… Back above key reclaim zone
โœ… Momentum turning back up
โœ… RSI recovering hard
โœ… TTM expansion attempting to fire again
โœ… OBV holding elevated = accumulation still there

This is what strong small-float names doโ€ฆ
They look quiet โ€” until they suddenly arenโ€™t.
$6.00 coming soon
๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
$GRDX โ€“ This one is tightening up ๐Ÿ‘€ After a prolonged downtrend, price is now compressing into a wedge with pressure building. The setup: Trend Structure: Descending resistance + flat support โ†’ breakout zone Volume: Starting to pick up on recent pushโ€ฆ
$GRDX

When you know what you are doing, stay focused and have PATIENCE.

Called this one while it was tightening inside the wedgeโ€ฆ now the breakout is unfolding EXACTLY as expected.

From compression โ†’ to expansion.
From fear โ†’ to momentum.
Now:
โœ… Descending resistance broken
โœ… RSI pushing into momentum territory
โœ… TTM Squeeze expanding
โœ… Buyers clearly in control
โœ… Nearly +80% upside projected on chart
โœ… Small-cap momentum starting to wake up

This is why technical analysis matters.
The market rewards patience before it rewards hype.
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$SKYQ ๐Ÿ‘€

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

Now:
โœ… Panic selling appears exhausted
โœ… Buyers defending the $2.35-$2.50 zone
โœ… Strong bounce off support
โœ… RSI curling up from oversold conditions
โœ… Market cap under $10M
โœ… Previous squeeze history proves this thing can move FAST
This is exactly the type of setup momentum traders start watching closely:
โ†’ extreme washout
โ†’ capitulation
โ†’ base formation
โ†’ reversal attempt
And if volume returnsโ€ฆ
Thereโ€™s a LOT of air above current levels.
Tiny caps can become explosive once sentiment flips
๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
ZSQR โ€” THE MARKET STILL THINKS THIS IS JUST A CRYPTO MINER. Thatโ€™s the disconnect ๐Ÿ‘€ The company is quietly evolving into a power-driven digital infrastructure platform built around: โšก compute operations โšก power management โšก cooling systems โšก uptime reliabilityโ€ฆ
$ZSQR is now entering the kind of territory where shorts historically become dangerously overconfident.

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

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

The market keeps talking about:
โ†’ compute shortages
โ†’ power bottlenecks
โ†’ exploding AI demand
โ†’ 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, $OKLO) โ†’ Chips ($TSM, $AMD, $NVDA, $ASML) โ†’ AI models ($GOOG, $TSLA) โ†’ Data centers ($CRWV, $IREN, $NBIS) โ†’ Servers ($DELL, $CLS, $CSCO) โ†’ Sensors ($ADI, $OUST, $CGNX) โ†’ Batteries ($QS, $ABAT) โ†’ Testing ($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
๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
#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 $LSPDโ€ฆ
Next weekโ€™s earnings is all about ๐—ก๐˜ƒ๐—ถ๐—ฑ๐—ถ๐—ฎ ๐Ÿค–๐Ÿ”ฅ $NVDA

Will they crush earnings once again and send AI stocks even higher? ๐Ÿ“ˆ
Or could one weak number shake the entire market? ๐Ÿ“‰
THE SWISS NATIONAL BANK OWNS $173.8 BILLION IN U.S. STOCKS ๐Ÿ‡จ๐Ÿ‡ญ

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:

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

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

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

Risk-adjusted final ranking:

๐Ÿฅ‡ GE Vernova 9HA.02 fleet scale, operational maturity, execution certainty
๐Ÿฅˆ Siemens SGT5-9000HL best engineering and thermodynamic design
๐Ÿฅ‰ 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 โ€” 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?
$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 โ€” Aerospace & Defense
$SATL โ€” Aerospace & Defense
$FIGR โ€” Capital Markets
$NOK โ€” Communication Equipment
$DELL โ€” Computer Hardware
$P โ€” Computer Hardware
$STX โ€” Computer Hardware
$WDC โ€” Computer Hardware
$BLDP โ€” Electrical Equipment & Parts
$FCEL โ€” Electrical Equipment & Parts
$PLUG โ€” Electrical Equipment & Parts
$VRT โ€” Electrical Equipment & Parts
$OUST โ€” Electronic Components
$TTMI โ€” Electronic Components
$OSCR โ€” Healthcare Plans
$KEEL โ€” Information Technology Services
$VNET โ€” Information Technology Services
$WRBY โ€” Medical Instruments & Supplies
$SEI โ€” Oil & Gas Equipment & Services
$VG โ€” Oil & Gas Midstream
$AXTI โ€” Semiconductor Equipment & Materials
$ALAB โ€” Semiconductors
$MRVL โ€” Semiconductors
$MXL โ€” Semiconductors
$NVTS โ€” Semiconductors
$SMTC โ€” Semiconductors
$UMC โ€” Semiconductors
$VSH โ€” Semiconductors
$DDOG โ€” Software Application
$FROG โ€” Software Application
$BB โ€” Software Infrastructure
$CORZ โ€” Software Infrastructure
$CRWD โ€” Software Infrastructure
$DOCN โ€” Software Infrastructure
$NBIS โ€” Software Infrastructure
$PANW โ€” Software Infrastructure
$S โ€” Software Infrastructure
$ENPH โ€” Solar
$FSLR โ€” Solar
$SEDG โ€” Solar
$SHLS โ€” Solar
$SOLS โ€” Specialty Chemicals
$BW โ€” Specialty Industrial Machinery
$LUMN โ€” Telecom Services
$SATS โ€” Telecom Services
$KNX โ€” Trucking
$FLNC โ€” Utilities Renewable
๐Ÿ‡จ๐Ÿ‡ญ Global One SI - Prompt
I found a GitHub repository with the most comprehensive Crypto UP DOWN market prediction system on Polymarket Instead of trying to guess a single price, AI models generate 1000 full Monte-Carlo simulated price paths This gives a much more realistic probabilityโ€ฆ
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 ร— (1 - |price - midpoint|)ยฒ

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) ร— 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 โ†’ Liquidity Rewards accumulate every minute
- Order gets filled โ†’ Maker Rebate paid + spread captured

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

> Bot strategy

Post two-sided quotes (bid + ask) at 1โ€“2ยข 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
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