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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ANDREJ KARPATHY BUILT A SECOND BRAIN SO POWERFUL IT TURNS NOTES INTO A THINKING SYSTEM
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πŸ‡¨πŸ‡­ Global One SI - Prompt
ANDREJ KARPATHY BUILT A SECOND BRAIN SO POWERFUL IT TURNS NOTES INTO A THINKING SYSTEM
The real edge is not collecting information, it’s turning knowledge into a system that keeps compounding long after everyone else forgets.
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πŸ‡¨πŸ‡­ Global One SI - Prompt
The most serious open-source bot for Polymarket's 15-minute BTC UP/DOWN markets (75% win rate in simulation) Breaking down aulekator/Polymarket-BTC-15-Minute-Trading-Bot - a true 7-phase system with self-learning Unlike most single-layer bots that trade…
5 GitHub Repos That Cover 90% of Building Your Own Polymarket Trading Bot

Each of them closes a major piece of the stack - from market discovery to execution, logging, and performance analysis

Instead of building everything from scratch, you can take these five repos and significantly speed up your bot development

1. Trade execution - Polymarket/py-clob-client

The official Python SDK from Polymarket itself.CLOB API connection, order placement, order book fetching, WebSocket subscriptions - all in one package

Installs with a single command: pip install py-clob-client

This is the foundation of any bot - there's no getting around it

GitHub: github.com/Polymarket/py-clob-client

2. Market discovery and all APIs in one -HuakunShen/polymarket-kit

A fully typed SDK that covers all three Polymarket APIs at once.

GammaSDK - find markets, filter by volume, category, closing date. No auth required.DataSDK - pull positions and trade history for any wallet

WebSocketClient - subscribe to live order book updates

Works in both TypeScript and Python, OpenAPI schema included

Instead of three separate clients - one package that covers everything except trade execution

GitHub: github.com/HuakunShen/polymarket-kit

3. Trading logic - Polymarket/agents

The official repo with trading agent examples from the Polymarket team.

Shows how to properly connect market discovery, data analysis, and trade execution into a single workflow.

Use it as an architectural template - plug in your own strategy where the default one sits.

The best starting point if you want to build from scratch rather than copy someone else's bot.

GitHub: github.com/Polymarket/agents

4. Position monitoring - warproxxx/poly_data

A data pipeline that collects the full trade and position history from Polymarket

Connect it to your bot to log every trade in a structured format

A ready-made data snapshot is available to download immediately - no need to wait for your own history to accumulate

Ideal for analyzing bot performance and finding patterns through AI

GitHub: github.com/warproxxx/poly_data

5. Analytics β€” leolopez007/polymarket-trade-tracker

A web tool for analyzing trades from any Polymarket wallet

Paste your bot's address - get a full breakdown: PnL, win rate, Maker/Taker roles, cumulative PnL over time

Export everything to JSON - feed it to AI and let it find the weak spots in your strategy

Use it after every week of trading to understand what's working and what isn't

GitHub: github.com/leolopez007/polymarket-trade-tracker

Here's how it all connects:

β€’ polymarket-kit finds the market
β€’ py-clob-client executes the trade
β€’ agents holds it all together
β€’ poly_data logs the history
β€’ trade-tracker analyzes the result.

Five repos - the full cycle of a trading bot
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The BEST 10 FREE Trading Indicators

0:00 - Order Blocks & Volume
0:27 - Breakout Signals
1:09 - Reversal Signals
1:49 - Trend System
2:42 - Hourly Trading System
3:45 - Price Action Structures
4:37 - BPR
5:17 - Range Analysis
6:45 - Fibonacci Retracements
7:30 - Volume Spike
Per IEA, $7 trillion of downstream Western economic value sits one Chinese export decision away.

Automotive: $3.5 T
Aviation: $1 T
Portable electronics: $1 T
Defence + data centres + wind: $1 T combined

The chip wars get the headlines.
Rare earths get the leverage.
🚨World oil inventories are falling at a record pace.

There are 2 lines you need to understand πŸ›’οΈ

The white line is total visible global oil inventories in billions of barrels.

It peaked just before the Iran war began in February 2026 then fell off a cliff.

Nothing in the post-Covid era comes close to the speed of this drawdown.

Two thresholds on the chart:

🟑 7.6 billion barrels , Operational stress level. Reached by June 2026.
πŸ”΄ 6.8 billion barrels , Operational floor level. The minimum required to keep pipelines functioning and refineries operating. Reached by September 2026, assuming no resolution.

These are not price targets.
They are physical system limits.

Bloomberg's framing is precise:
"The world has burned through oil inventories at a record speed as the Iran war throttles flows from the Persian Gulf."

"Governments and industries are left with fewer options to cushion the impact of the loss of more than a billion barrels of supply."

The assumptions behind the projection:

If no conflict resolution by June.

Demand reduction of 5.6 million barrels per day already priced in.

Even with that demand destruction factored in, inventories still hit the operational floor by September.

What the operational floor actually means:

Below 6.8 billion barrels, the physical infrastructure of the global oil system begins to fail.

The Covid inventory build in 2020 took months to accumulate as demand collapsed.

This drawdown is happening in weeks as supply collapses.

The direction is the same but the cause is the opposite and the speed is faster.

If there is no resolution by summer, the world will be in territory it has never been in before.
$MU $SNDK $WDC $INTC $ASML | Goldman Sachs warns of a historic memory shortage, with DRAM and NAND facing their tightest supply in over 15 years.

AI servers now drive 50% of demand, fueling a projected 176% surge in DRAM prices and record 80% margins for major producers.
Look at the world's busiest container ports.

China dominates.

Only ONE is in the Persian Gulf: Jebel Ali, number 9

Hormuz isn't a container chokepoint.
It's an oil and LNG chokepoint.

Global trade kept moving when the strait shut.

Containers reroute via Suez or the Cape.

But Molecules can't.
The space theme looks ready for a very powerful wave 3 breakout IMO:

$ASTS: 5/9 bullish confirms
$BKSY: 5/9 bullish confirms
$FLY: 4/9 bullish confirms
$LUNR: 6/9 bullish confirms
$MNTS: 1/9 bullish confirms
$PL: 6/9 bullish confirms
$RDW: 8/9 bullish confirms
$RKLB: 7/9 bullish confirms
$SATL: 7/9 bullish confirms
$SIDU: 2/9 bullish confirms
$SPIR: 5/9 bullish confirms
$UFO: 7/9 bullish confirms
$VELO: 0/9 bullish confirms
$VOYG: 6/9 bullish confirms

An important week awaits! πŸ«‘πŸ“ˆ
MP Materials $MP is transitioning from miner to manufacturer, backed by a $500M Apple deal and 15% Pentagon stake.

With a $110/kg price floor and the new 10X facility targeting 10,000 tons annually, MP Materials is building a domestic magnet monopoly.
⚠️This Week's Most Notable Earnings:

β€’ Monday: $HIMS $CEG $ASTS $RGTI $MNDY $CRCL $MARA $B $MOS
β€’ Tuesday: $QBTS $OKLO $SE $JD $ONON $UAA
β€’ Wednesday: $CSCO $NBIS $EOSE $TSEM $DT $USAR $BABA $TCEHY
β€’ Thursday: $AMAT $ONDS $LUNR $UAMY $FIG $KLAR $NU
β€’ Friday: -
$RKLB $RDW $PL $VOYG $ASTS | Global smallsat deployment is accelerating, with 16,900 satellites projected through 2035.

Driven by sovereign constellations and serial production, the industry will launch 640KG of hardware daily as the market scales toward a $33B valuation.
$RR $MP $PLTR $CGNX $SERV | Morgan Stanley projects China’s global manufacturing share will rise to 16.5% by 2030, driven by a humanoid robot "Super Cycle."

With 90% of global shipments already from China, the sector is mirroring the early explosive growth of the EV industry.
$ASTS $GSAT $AMZN $RKLB $VOYG | FCC Chair Brendan Carr states the U.S. requires at least three satellite-to-phone providers to maintain healthy market competition.

Carr highlighted Amazon and AST SpaceMobile as the primary challengers to Starlink’s current lead in the sector.
Global gas turbine orders just hit 135 GW in 2025 back to year 2000 levels.

That was the dot-com bubble peak.

This is the AI buildout.

Same fever.
Same fuel.

Same bottleneck: GE Vernova's 100 GW backlog.

Siemens Energy raising guidance.

Mitsubishi doubling capacity.

Order today, deliver next decade.
The world's largest data centers tell you what fuels them.

China Telecom + China Mobile: both in Hohhot, Inner Mongolia ...China's coal heartland.

US: Nevada, Utah, Atlanta, Chicago mainly gas.

US AI runs on gas.
Chinese AI runs on coal.

The map is the receipt.