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Chinese AI labs after beating the world’s best model again:
🇨🇭 Global One SI - Prompt
55% of the KOSPI index is composed of two memory manufacturers: SK Hynix and Samsung. Basically if the KOSPI falls, so do $MU, $SNDK, etc.
South Korea's $KOSPI index falls 10% as memory manufacturers suddenly see a demand collapse.
🇨🇭 Global One SI - Prompt
GLM-5.2 - The Complete Guide. Everything you need to know: how to set it up, how to prompt, tips, and more.
GLM-5.2 is the benchmark king.
It's the first open-weight model to take #1 in multiple categories (and it's beating frontier models across the board).
#1 Wins:
→ Design Arena: ~1360 Elo, first open-weight model to take #1, beats Fable 5 by ~10 Elo
→ Terminal-Bench 2.1: 81.0% (best run 82.7%), first open model to cross 80%
→ Artificial Analysis Intelligence Index v4.1: Top open-weight model, score 51
→ GDPval-AA v2: Leading open-weight, competitive with/ahead of GPT-5.5
→ LiveBench Agentic Coding: #1–2 open overall
Top-3 Rankings:
→ FrontierSWE (Dominance): #3 overall, 74.4% (near-tie with Opus 4.8's 75.1%, beats GPT-5.5)
→ SWE-bench Pro: #1 among open models, 62.1% (beats GPT-5.5's 58.6%)
→ MCP-Atlas (tool usage): ~77.0, near/in top 3
→ Humanity's Last Exam (with tools): ~54.7, beats GPT-5.5
→ BenchLM leaderboard: #3–4 of 124 models
→ Code/Agent Arena (Frontend): #2 overall, behind only Fable →PostTrainBench: #2 overall, behind Opus 4.8, beats GPT-5.5
Insane resume.
It's the first open-weight model to take #1 in multiple categories (and it's beating frontier models across the board).
#1 Wins:
→ Design Arena: ~1360 Elo, first open-weight model to take #1, beats Fable 5 by ~10 Elo
→ Terminal-Bench 2.1: 81.0% (best run 82.7%), first open model to cross 80%
→ Artificial Analysis Intelligence Index v4.1: Top open-weight model, score 51
→ GDPval-AA v2: Leading open-weight, competitive with/ahead of GPT-5.5
→ LiveBench Agentic Coding: #1–2 open overall
Top-3 Rankings:
→ FrontierSWE (Dominance): #3 overall, 74.4% (near-tie with Opus 4.8's 75.1%, beats GPT-5.5)
→ SWE-bench Pro: #1 among open models, 62.1% (beats GPT-5.5's 58.6%)
→ MCP-Atlas (tool usage): ~77.0, near/in top 3
→ Humanity's Last Exam (with tools): ~54.7, beats GPT-5.5
→ BenchLM leaderboard: #3–4 of 124 models
→ Code/Agent Arena (Frontend): #2 overall, behind only Fable →PostTrainBench: #2 overall, behind Opus 4.8, beats GPT-5.5
Insane resume.
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🇨🇭 Global One SI - Prompt
$LAES/USD H2 #Indicator #Signal #Trading #GlobalOneAI
The strong presence of $MSFT and $LAES at IQT Nordics 2026 highlights a strategic technology alliance that has spanned over two decades.
As $MSFT pushes the boundaries of cloud-based quantum computing, $LAES, alongside its parent company $WKEY, provides the critical hardware-level counterweight.
Their collaboration focuses heavily on Post-Quantum Cryptography (PQC), developing advanced semiconductors designed to shield digital infrastructure from future quantum-powered cyber threats.
By sharing the stage as top-tier sponsors at this premier Nordic event, the two companies are actively demonstrating how their synergy bridges cutting-edge quantum research with practical, deployment-ready security solutions for tomorrow's global networks.
As $MSFT pushes the boundaries of cloud-based quantum computing, $LAES, alongside its parent company $WKEY, provides the critical hardware-level counterweight.
Their collaboration focuses heavily on Post-Quantum Cryptography (PQC), developing advanced semiconductors designed to shield digital infrastructure from future quantum-powered cyber threats.
By sharing the stage as top-tier sponsors at this premier Nordic event, the two companies are actively demonstrating how their synergy bridges cutting-edge quantum research with practical, deployment-ready security solutions for tomorrow's global networks.
🇨🇭 Global One SI - Prompt
3 Weather Trading Strategies That Are Working Best Right Now (Barbell + Tail Hunting + Laddering) Weather markets on Polymarket remain one of the most consistent sources of edge, but success heavily depends on your approach Here are the three strategies…
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Before you quit your 9-5 to trade full-time, remember you're competing with a student running a dorm wealther station making $100k+
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Forwarded from 🛢WTI, Brent Crude Oil, NGAS Trading 📊
🇺🇸 President Trump just now:
“19 million barrels of oil flowed through the Strait of Hormuz yesterday, an all-time record.”
“19 million barrels of oil flowed through the Strait of Hormuz yesterday, an all-time record.”
🇨🇭 Global One SI - Prompt
3 Weather Trading Strategies That Are Working Best Right Now (Barbell + Tail Hunting + Laddering) Weather markets on Polymarket remain one of the most consistent sources of edge, but success heavily depends on your approach Here are the three strategies…
Tail Risk Buying on Polymarket: How to Buy Extreme Buckets and Catch 10–20x When Everyone Else Is Scared (TAIL EDGE STRATEGY)
Most traders avoid far-tail buckets on temperature markets
Smart money does the exact opposite - they quietly farm the fattest alpha there with minimal risk
> Why Tail Buckets Are a Hidden Goldmine
Ensemble models (ECMWF, GEFS, HRRR) are almost always underdispersive - they draw too narrow a range of possible temperatures
The market is even more scared of extremes. As a result, the farthest buckets (hottest or coldest) chronically trade at 4–12¢, while real probability is often 18–28%
One good tail hit per month easily pays for dozens of small losses
> 4 Key Principles
1. Underdispersion Check
If the ensemble spread is noticeably narrower than historical volatility for that city and date - tails are almost certainly underpriced
2. Climatology Anchor
Check how many times in the last 10–15 years the temperature went into a similar extreme on that exact day
3. Consensus Filter
Only buy when at least 2–3 independent models show the possibility of an extreme. If all models are stuck in a tight corridor - skip
4. Position Sizing Rule
Small bets only: 0.5–2% of bankroll. Even if 8 out of 10 tails lose, one big winner more than makes up for it
> Real Example (London, EGLC)
• Max Temp tomorrow market
• The >28°C bucket was trading at 7¢
• Ensemble + climatology showed ~21–23% probability
• 36 hours later it resolved at 29.1°C → 100¢
• +1320% on the position
> When This Edge Works Best
• Strong heatwaves and cold snaps
• Transitional days with fronts (when models disagree)
• Tomorrow and day-after markets (D+1 and D+2) - underdispersion is strongest here
• Volatile cities: NYC, Chicago, London, Tokyo, Shanghai, Miami
Tail buying combines perfectly with near-resolution and calibration edges
It’s a positively skewed strategy: you rarely lose big, but when you hit - you win very fat
Many top accounts in 2026 are crushing it exactly thanks to systematic tail buying
Save this post so you don’t lose it!
Link to Parity:
predictparity.com
Most traders avoid far-tail buckets on temperature markets
Smart money does the exact opposite - they quietly farm the fattest alpha there with minimal risk
> Why Tail Buckets Are a Hidden Goldmine
Ensemble models (ECMWF, GEFS, HRRR) are almost always underdispersive - they draw too narrow a range of possible temperatures
The market is even more scared of extremes. As a result, the farthest buckets (hottest or coldest) chronically trade at 4–12¢, while real probability is often 18–28%
One good tail hit per month easily pays for dozens of small losses
> 4 Key Principles
1. Underdispersion Check
If the ensemble spread is noticeably narrower than historical volatility for that city and date - tails are almost certainly underpriced
2. Climatology Anchor
Check how many times in the last 10–15 years the temperature went into a similar extreme on that exact day
3. Consensus Filter
Only buy when at least 2–3 independent models show the possibility of an extreme. If all models are stuck in a tight corridor - skip
4. Position Sizing Rule
Small bets only: 0.5–2% of bankroll. Even if 8 out of 10 tails lose, one big winner more than makes up for it
> Real Example (London, EGLC)
• Max Temp tomorrow market
• The >28°C bucket was trading at 7¢
• Ensemble + climatology showed ~21–23% probability
• 36 hours later it resolved at 29.1°C → 100¢
• +1320% on the position
> When This Edge Works Best
• Strong heatwaves and cold snaps
• Transitional days with fronts (when models disagree)
• Tomorrow and day-after markets (D+1 and D+2) - underdispersion is strongest here
• Volatile cities: NYC, Chicago, London, Tokyo, Shanghai, Miami
Tail buying combines perfectly with near-resolution and calibration edges
It’s a positively skewed strategy: you rarely lose big, but when you hit - you win very fat
Many top accounts in 2026 are crushing it exactly thanks to systematic tail buying
Save this post so you don’t lose it!
Link to Parity:
predictparity.com
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🇨🇭 Global One SI - Prompt
#BTC/USDT H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt
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If you bought #bitcoin 3 years ago you’re up 350%, but if you bought it 8 months ago you’re down 50%
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How it feels when Claude down for the last few hours
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"Be first, be smarter or cheat"
Effort alone doesn't scale without leverage.
To win, you either need a speed advantage, a superior strategy, or a willingness to completely disrupt the status quo.
Effort alone doesn't scale without leverage.
To win, you either need a speed advantage, a superior strategy, or a willingness to completely disrupt the status quo.
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Me and bros crafting up the perfect strategy to beat the market and escape the matrix
Two fundamental macroeconomic and technological trends make $DAIO an indispensable gatekeeper for the future of the tech industry
The Paradigm Shift to UFS Storage:
Legacy flash memory standards are rapidly disappearing. Modern connected vehicles, autonomous driving suites (ADAS), and Edge AI devices require massive Universal Flash Storage (UFS) capacities, handling gigabytes of data instead of megabytes. Competitors hit physical speed limits trying to flash these volumes. Powered by patented VerifyBoosttechnology (delivering verification speeds up to 750 MB/s), Data I/O's LumenX and LumenX2 architectures are the only platforms capable of flashing these enormous data volumes without slowing down automated factory assembly lines.
Regulatory Cyber-Security Mandates:
Global regulatory bodies, such as strict EU automotive cybersecurity directives, now legally compel manufacturers to secure hardware devices directly at the factory root level. Because cryptographic keys can no longer be safely injected later via post-production software updates, they must be embedded securely during the initial chip flashing phase (Security Provisioning).
$DAIO is the only market provider that has seamlessly merged this complex cryptographic identity injection directly into high-speed, high-volume automated manufacturing lines.
The Paradigm Shift to UFS Storage:
Legacy flash memory standards are rapidly disappearing. Modern connected vehicles, autonomous driving suites (ADAS), and Edge AI devices require massive Universal Flash Storage (UFS) capacities, handling gigabytes of data instead of megabytes. Competitors hit physical speed limits trying to flash these volumes. Powered by patented VerifyBoosttechnology (delivering verification speeds up to 750 MB/s), Data I/O's LumenX and LumenX2 architectures are the only platforms capable of flashing these enormous data volumes without slowing down automated factory assembly lines.
Regulatory Cyber-Security Mandates:
Global regulatory bodies, such as strict EU automotive cybersecurity directives, now legally compel manufacturers to secure hardware devices directly at the factory root level. Because cryptographic keys can no longer be safely injected later via post-production software updates, they must be embedded securely during the initial chip flashing phase (Security Provisioning).
$DAIO is the only market provider that has seamlessly merged this complex cryptographic identity injection directly into high-speed, high-volume automated manufacturing lines.