π¨π Global One SI - Prompt
/goal is the most powerful way to use AI right now. It's literally like deploying mini AI employees that work on your behalf 24/7.
How to set up /goal in Codex in <60 seconds:
π¨π Global One SI - Prompt
The entire AI industry visualised in one chart and somehow every single arrow leads back to $NVDA. $5.5 trillion makes a lot more sense now.
Most insane stat in markets right now:
NVIDIA alone is worth more than India's ENTIRE stock market.
And 2x Germany's.
We are not in normal times.
NVIDIA alone is worth more than India's ENTIRE stock market.
And 2x Germany's.
We are not in normal times.
Forwarded from π’WTI, Brent Crude Oil, NGAS Trading π
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π¨ Reports ahead of the TrumpβXi summit point to possible Chinese purchases of:
π± Soybeans
π’ U.S. oil
π₯ LNG
βοΈ Boeing jets
If π¨π³ China agrees to buy more πΊπΈ LNG, this changes the entire setup for US LNG exporters.
If this deal materializes, the company I highlighted in my latest article could rally hard as the market reprices long-term LNG demand.
π± Soybeans
π’ U.S. oil
π₯ LNG
βοΈ Boeing jets
If π¨π³ China agrees to buy more πΊπΈ LNG, this changes the entire setup for US LNG exporters.
If this deal materializes, the company I highlighted in my latest article could rally hard as the market reprices long-term LNG demand.
π¨π Global One SI - Prompt
/goal is the most powerful way to use AI right now. It's literally like deploying mini AI employees that work on your behalf 24/7.
Claude Code just shipped /goal.
You set a condition. Claude keeps working across turns until it's met. No babysitting. No prompting each step.
A separate AI checks the work after every turn. Not Claude judging itself.
Set it. Walk away. Come back to finished work.
I made a cheat sheet. Save it.
You set a condition. Claude keeps working across turns until it's met. No babysitting. No prompting each step.
A separate AI checks the work after every turn. Not Claude judging itself.
Set it. Walk away. Come back to finished work.
I made a cheat sheet. Save it.
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Jane Street Quant ~$7M/year showed the fund's code that analyzes ALL MARKET data every millisecond
- the library that made $20.5B/year and nobody talks about
33-min guide on the code a tier-1 fund has been running for ~16 years to stay on top
bookmark & watch - instead of Netflix to learn how to do the same!
- the library that made $20.5B/year and nobody talks about
33-min guide on the code a tier-1 fund has been running for ~16 years to stay on top
bookmark & watch - instead of Netflix to learn how to do the same!
β1
π¨π Global One SI - Prompt
Jane Street Quant ~$7M/year showed the fund's code that analyzes ALL MARKET data every millisecond - the library that made $20.5B/year and nobody talks about 33-min guide on the code a tier-1 fund has been running for ~16 years to stay on top bookmark &β¦
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Jane Street Quant ~$4M/year - revealed how the fund runs code from 1996 that still prints $5.3B/month
- they build their own models on a 30-year-old language
33-min breakdown of what a tier-1 fund has been writing in since 2005
bookmark & watch - better than any vibecoding course you'll find online
- they build their own models on a 30-year-old language
33-min breakdown of what a tier-1 fund has been writing in since 2005
bookmark & watch - better than any vibecoding course you'll find online
β1
π¨ 60% of Chinaβs processed rare earth exports flow to US and Japanese factories.
China controls 90% of global rare earth processing capacity.
Now, after years of sanctions and escalating tensions, π¨π³ Xi Jinping is publicly toasting to stronger relations with πΊπΈ America.
The most important commodity and industrial partnership in the world may have just found a new framework.
Xi's words at the summit:
"The China-US relationship is the most important bilateral relationship in the world. We must make it work and never mess it up."
2 superpowers that spent years sanctioning, threatening, and decoupling are now publicly signalling stabilisation.
Trade teams reached a "generally balanced and positive" outcome before the summit formally began.
Every EV motor, F-35, wind turbine, and semiconductor fab in the Western world runs on materials Beijing controls.
In April, China restricted gallium and germanium exports a warning shot.
A full rare earth cut would hit US defence and Japanese electronics simultaneously.
That card was never played.
The toast suggests it won't be for now.
China controls 90% of global rare earth processing capacity.
Now, after years of sanctions and escalating tensions, π¨π³ Xi Jinping is publicly toasting to stronger relations with πΊπΈ America.
The most important commodity and industrial partnership in the world may have just found a new framework.
Xi's words at the summit:
"The China-US relationship is the most important bilateral relationship in the world. We must make it work and never mess it up."
2 superpowers that spent years sanctioning, threatening, and decoupling are now publicly signalling stabilisation.
Trade teams reached a "generally balanced and positive" outcome before the summit formally began.
Every EV motor, F-35, wind turbine, and semiconductor fab in the Western world runs on materials Beijing controls.
In April, China restricted gallium and germanium exports a warning shot.
A full rare earth cut would hit US defence and Japanese electronics simultaneously.
That card was never played.
The toast suggests it won't be for now.
πBifurcated Stock Market
As further evidence of stock market bifurcation, below is a "heatmap" of 20-day highs vs 20-day lows
While everyone is jubilant over semiconductors and the technology sector, many stocks are making new 20-day lows.
π139 Breakouts (20-day highs)
π464 Breakdowns (20-day lows)
As further evidence of stock market bifurcation, below is a "heatmap" of 20-day highs vs 20-day lows
While everyone is jubilant over semiconductors and the technology sector, many stocks are making new 20-day lows.
π139 Breakouts (20-day highs)
π464 Breakdowns (20-day lows)
π¨π Global One SI - Prompt
Photo
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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 - official, actively maintained
Not a bot, but the cleanest connector reference Polymarket has published: separate modules for auth, market-data, order-patterns, WebSocket, CTF operations, and gasless transactions.
Each layer is isolated and documented with typed examples in both Python and TypeScript
What to steal: the module boundary design
Repo: github.com/Polymarket/agent-skills
2. MrFadiAi/Polymarket-bot - 4 strategies in one (Smart Money copy, DipArb, arbitrage, manual)
The Smart Money filter is the standout: traders only qualify at β₯60% win rate + β₯1.5x profit factor, with whale detection to exclude lucky one-hit wonders. Hard stop at 40% total drawdown
What to steal: the trader qualification logic
Repo: github.com/MrFadiAi/Polymarket-bot
3. warproxxx/poly-maker - market maker configured via Google Sheets, with a poly_merger module for consolidating positions to cut gas fees.
The author states clearly in the README: the bot is not profitable today due to competition - do not deploy as-is.
What to steal: poly_merger as a standalone utility
Repo: github.com/warproxxx/poly-maker
4. aulekator/Polymarket-BTC-15-Minute-Trading-Bot - 7-phase architecture with Binance WebSocket for data ingestion, a dedicated risk_engine.py for position sizing and stop-loss, and a pre-built Grafana + Prometheus monitoring stack. Most bots ship with zero observability - this one doesn't.
What to steal: the service structure and monitoring setup
Repo: github.com/aulekator/Polymarket-BTC-15-Minute-Trading-Bot
Don't clone these to deploy. Read them to understand how the problem gets decomposed - then build your own
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 - official, actively maintained
Not a bot, but the cleanest connector reference Polymarket has published: separate modules for auth, market-data, order-patterns, WebSocket, CTF operations, and gasless transactions.
Each layer is isolated and documented with typed examples in both Python and TypeScript
What to steal: the module boundary design
Repo: github.com/Polymarket/agent-skills
2. MrFadiAi/Polymarket-bot - 4 strategies in one (Smart Money copy, DipArb, arbitrage, manual)
The Smart Money filter is the standout: traders only qualify at β₯60% win rate + β₯1.5x profit factor, with whale detection to exclude lucky one-hit wonders. Hard stop at 40% total drawdown
What to steal: the trader qualification logic
Repo: github.com/MrFadiAi/Polymarket-bot
3. warproxxx/poly-maker - market maker configured via Google Sheets, with a poly_merger module for consolidating positions to cut gas fees.
The author states clearly in the README: the bot is not profitable today due to competition - do not deploy as-is.
What to steal: poly_merger as a standalone utility
Repo: github.com/warproxxx/poly-maker
4. aulekator/Polymarket-BTC-15-Minute-Trading-Bot - 7-phase architecture with Binance WebSocket for data ingestion, a dedicated risk_engine.py for position sizing and stop-loss, and a pre-built Grafana + Prometheus monitoring stack. Most bots ship with zero observability - this one doesn't.
What to steal: the service structure and monitoring setup
Repo: github.com/aulekator/Polymarket-BTC-15-Minute-Trading-Bot
Don't clone these to deploy. Read them to understand how the problem gets decomposed - then build your own
β1
π¨π Global One SI - Prompt
$ONDS/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$ONDS Raising full-year 2026 revenue target to at least $390 million representing approximately 670% year-over-year increase driven by organic growth, accelerated strategic growth program and global demand for unmanned and autonomous systems!! HUGE
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The purpose of AGI is to k*ll everyone.
Professor Jiang explains the REAL reason behind why every company is racing to build AGI:
(not what you expect)
Professor Jiang explains the REAL reason behind why every company is racing to build AGI:
(not what you expect)