Monday, June 8:
🇺🇸 USA - Start of the ETHConf conference in New York
Tuesday, June 9:
- Nothing important
Wednesday, June 10:
🇺🇸 USA - End of the ETHConf conference in New York
Thursday, June 11:
🇺🇸 USA - Initial Jobless Claims - 15:30
🇺🇸 USA - Fed balance - 23:30
Friday, June 12:
🇺🇸 USA - Consumer inflation expectations (June) - 17:00
Please open Telegram to view this post
VIEW IN TELEGRAM
🇨🇭 Global One SI - Prompt
$AMD/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$AMD just announced plans to invest up to £2 Billion in the United Kingdom 🇬🇧 over the next 5 years
"to accelerate AI innovation and research and expand access to the compute resources needed for long-term economic growth and scientific leadership across the country."
"to accelerate AI innovation and research and expand access to the compute resources needed for long-term economic growth and scientific leadership across the country."
This media is not supported in your browser
VIEW IN TELEGRAM
Physicists found a mathematical exit inside a black hole — and the math says it leads somewhere else. 🕳️
👀1
🇨🇭 Global One SI - Prompt
The coolest thing in the SpaceX IPO video is the lunar electromagnetic launch system. Solar energy,electricity,kinetic energy. No propellant required. First cargo to Mars. Then robots. What if the most important vehicle for Mars colonization isn’t starship…
Elon Musk:
“In ten years, we'll have a mass driver on the Moon”
“In ten years, we'll have a mass driver on the Moon”
🇨🇭 Global One SI - Prompt
$NBIS/USD H2 #Indicator #Signal #Trading #GlobalOneAI Globalone.ch #Prompt #AI
BofA Securities maintains a Buy rating on Nebius Group $NBIS and raises the price target to $280 from $240.
Analyst Tal Liani points to accelerating AI cloud momentum to justify the bullish target revision.
Analyst Tal Liani points to accelerating AI cloud momentum to justify the bullish target revision.
$IPFX: Quantum Space, a Leading Space Defense and Orbital Mobility Company, to Go Public via Merger with Inflection Point Acquisition Corp. VI
Quantum Space, a company building the next generation of advanced maneuverable spacecraft to disrupt the orbital economy, and Inflection Point Acquisition Corp VI, a special purpose acquisition company, today announced that they have entered into a definitive business combination agreement (the “Business Combination Agreement”), under which Quantum Space will become a publicly traded company.
Quantum Space was co-founded by Dr. Kam Ghaffarian, the Company’s Executive Chairman and a visionary entrepreneur and co-founder of commercial space and energy companies.
The Company is led by CEO Jim Bridenstine, a former NASA Administrator, naval aviator, and member of Congress.
Creates a pure-play national security space company and accelerates production of Ranger, a maneuver-first spacecraft platform purpose-built for multi-orbit operations.
Supports a deepening pipeline of national security and commercial missions, including existing contracts with the U.S. Space Force and Air Force Research Laboratory, active proposals with the Department of War and DARPA, and award eligibility under the Space Force's $6.2B Andromeda IDIQ vehicle.
Transaction includes an initial $300M PIPE investment anchored by Inflection Point.
Pre-money equity value of approximately $600M and a post-transaction equity value of approximately $1.2B
Quantum Space, a company building the next generation of advanced maneuverable spacecraft to disrupt the orbital economy, and Inflection Point Acquisition Corp VI, a special purpose acquisition company, today announced that they have entered into a definitive business combination agreement (the “Business Combination Agreement”), under which Quantum Space will become a publicly traded company.
Quantum Space was co-founded by Dr. Kam Ghaffarian, the Company’s Executive Chairman and a visionary entrepreneur and co-founder of commercial space and energy companies.
The Company is led by CEO Jim Bridenstine, a former NASA Administrator, naval aviator, and member of Congress.
Creates a pure-play national security space company and accelerates production of Ranger, a maneuver-first spacecraft platform purpose-built for multi-orbit operations.
Supports a deepening pipeline of national security and commercial missions, including existing contracts with the U.S. Space Force and Air Force Research Laboratory, active proposals with the Department of War and DARPA, and award eligibility under the Space Force's $6.2B Andromeda IDIQ vehicle.
Transaction includes an initial $300M PIPE investment anchored by Inflection Point.
Pre-money equity value of approximately $600M and a post-transaction equity value of approximately $1.2B
🇨🇭 Global One SI - Prompt
I recently hired Claude as my personal CFO, and it's been the best thing I've done for my finances in years. It operates as a McKinsey-level analyst across all my financial data, context, and goals. If you want to level up your finances, inject this prompt…
Remember when people were posting "this one prompt replaces a McKinsey consultant"?
McKinsey published an 8-page guide teaching Fortune 500 companies how to replace 60% of their dev teams with AI agent factories.
They weren't the ones getting replaced. They were studying the replacement playbook the entire time.
The article lays out a 24-hour sprint model. Humans work 8 hours during the day reviewing outputs, setting guardrails, aligning priorities. AI agents execute the other 16 hours overnight. Requirements, architecture, code, testing. All automated.
The team composition chart tells the real story. Old model: product owner, business analyst, tech lead, 6 engineers, 2 testers. Ten people. New model: product owner, tech lead, one AI-enabled engineer. Three people.
Business analysts gone. Testers gone. Five out of six engineers gone. Not "reassigned." Removed from the org chart entirely.
The article calls it "productivity gains" and "team resizing." The diagrams call it what it is. 100 FTEs down to 60. 200 person-years of work compressed into 100. And McKinsey is selling this transformation as a service.
The people who survive this shift aren't the ones writing the best code. They're the ones who can think clearly enough to direct the agents that write it.
McKinsey published an 8-page guide teaching Fortune 500 companies how to replace 60% of their dev teams with AI agent factories.
They weren't the ones getting replaced. They were studying the replacement playbook the entire time.
The article lays out a 24-hour sprint model. Humans work 8 hours during the day reviewing outputs, setting guardrails, aligning priorities. AI agents execute the other 16 hours overnight. Requirements, architecture, code, testing. All automated.
The team composition chart tells the real story. Old model: product owner, business analyst, tech lead, 6 engineers, 2 testers. Ten people. New model: product owner, tech lead, one AI-enabled engineer. Three people.
Business analysts gone. Testers gone. Five out of six engineers gone. Not "reassigned." Removed from the org chart entirely.
The article calls it "productivity gains" and "team resizing." The diagrams call it what it is. 100 FTEs down to 60. 200 person-years of work compressed into 100. And McKinsey is selling this transformation as a service.
The people who survive this shift aren't the ones writing the best code. They're the ones who can think clearly enough to direct the agents that write it.
✍1
🇨🇭 Global One SI - Prompt
A 23-person company now runs on 1 founder and a team of AI agents that never ask for a raise. He gave them names. Meet Nolan, head of content. 1 human types a task into a chatbot. Nolan reads it. He hands it to 1 of his 7 sub-agents to finish. That’s the…
Leading companies are moving from two-week sprint cycles to a daily rhythm that combines human judgment with overnight agent execution.
The opportunity now is how organizations use the capacity those agent-enabled workflows create. mck.co/3Q0yqpt
The opportunity now is how organizations use the capacity those agent-enabled workflows create. mck.co/3Q0yqpt
👨💻1
SpaceX has raised roughly $12B since its founding. IPO valuation $1.75T.
2015, Google and Fidelity invested $1B when SpaceX was worth $12B.
That stake worth 146B today.
Why is Wall Street only interested at $1.75T, instead of $12B?
#spacexipo #google #starship
2015, Google and Fidelity invested $1B when SpaceX was worth $12B.
That stake worth 146B today.
Why is Wall Street only interested at $1.75T, instead of $12B?
#spacexipo #google #starship
SpaceX began testing booster recovery back in 2010. First successful landing: 2015. By 2025, F9 and FH had racked up more than 450 booster landings.
Why did others wait over a decade before seriously pursuing reusable rockets?
And what exactly are they planning to launch? The world doesn’t need a second Starlink
#spacex #starship
Why did others wait over a decade before seriously pursuing reusable rockets?
And what exactly are they planning to launch? The world doesn’t need a second Starlink
#spacex #starship
🇨🇭 Global One SI - Prompt
6 Best ML Libraries Top Quant Traders Use to Exploit Model Bias on Polymarket (Full Quant Stack) Most bots on Polymarket still operate as simple reactive systems - they treat public forecasts as the ultimate truth Top quant traders have moved far beyond…
How a Trader Makes $300–$500 a Day Using the Bonding Strategy on Polymarket (Risk-Free)
Found a trader who gets 80% APY simply by collecting profit on guaranteed outcomes
He uses a pure bonding strategy: buys contracts at 95–99.5 cents on markets where the outcome is already obvious to almost everyone and holds them until final resolution
No predictions or complicated analysis - just market mechanics and iron discipline
Each trade brings 1–3% (sometimes up to 5%). He does 2–4 such trades per day - and consistently makes $300–$500 clean profit
How does he do it?
He uses Parity Terminal to find the juiciest markets in seconds and enter positions instantly
Filters he uses:
• Probability: 95–99%
• Spread: ≤ 0.05
• Liquidity: ≥ $10k
• Time to resolution: ≤ 1 day
After that, he just waits for a decision and keeps repeating the same thing over and over again
Ready-made filters for this strategy + trader's profile 👇
Use a predefined filter or create your own in Parity Terminal:
predictparity.com/markets?probMin=95&probMax=99&liqMin=10000&endMin=&endMax=1&exc=
Found a trader who gets 80% APY simply by collecting profit on guaranteed outcomes
He uses a pure bonding strategy: buys contracts at 95–99.5 cents on markets where the outcome is already obvious to almost everyone and holds them until final resolution
No predictions or complicated analysis - just market mechanics and iron discipline
Each trade brings 1–3% (sometimes up to 5%). He does 2–4 such trades per day - and consistently makes $300–$500 clean profit
How does he do it?
He uses Parity Terminal to find the juiciest markets in seconds and enter positions instantly
Filters he uses:
• Probability: 95–99%
• Spread: ≤ 0.05
• Liquidity: ≥ $10k
• Time to resolution: ≤ 1 day
After that, he just waits for a decision and keeps repeating the same thing over and over again
Ready-made filters for this strategy + trader's profile 👇
Use a predefined filter or create your own in Parity Terminal:
predictparity.com/markets?probMin=95&probMax=99&liqMin=10000&endMin=&endMax=1&exc=
✍1
🇨🇭 Global One SI - Prompt
$AMPG/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$AMPG: New website & updated customer list 👀
Now includes Amazon and Nvidia.
Now includes Amazon and Nvidia.
🐳1
🇨🇭 Global One SI - Prompt
$IREN looks exactly like the type of setup institutions quietly accumulate. Not a broken chart. A consolidation. Not a failed breakout. A retest. The AI infrastructure buildout hasn’t slowed down. Power, compute and datacenter capacity remain some of…
$IREN This is why I pay attention to consolidations.
Last weekend everyone was focused on the selloff.
I was focused on the setup.
Now the rebound is starting to take shape.
The AI infrastructure story didn't change.
The datacenter story didn't change.
The power demand story didn't change.
Only sentiment did.
Chart is beginning to reflect that reality again.
Last weekend everyone was focused on the selloff.
I was focused on the setup.
Now the rebound is starting to take shape.
The AI infrastructure story didn't change.
The datacenter story didn't change.
The power demand story didn't change.
Only sentiment did.
Chart is beginning to reflect that reality again.
🇨🇭 Global One SI - Prompt
$MU Everyone wants AI exposure. Few investors ask a simple question: Where does all that AI data actually live? The answer is memory. Micron isn’t just another semiconductor company. It’s one of the core beneficiaries of: - AI Training - AI Inference…
$MU rebound starting exactly where it needed to.
The support zone held.
The trend held.
The AI thesis held.
Everyone wants AI exposure.
Very few investors focus on where all that AI data actually lives.
Memory.
Still watching for a move back toward the highs
The support zone held.
The trend held.
The AI thesis held.
Everyone wants AI exposure.
Very few investors focus on where all that AI data actually lives.
Memory.
Still watching for a move back toward the highs
🇨🇭 Global One SI - Prompt
AI has completely restructured how I invest - and I'm making some big portfolio adjustments because of it. Here's the ultimate playbook to investing in the AI gold rush
If you're not agent looping, you're falling behind - fast.
Agent looping lets your AI agents handle the end-to-end prompting process (discovery, planning, work, checking).
Here is how to properly set up agent loops inside Claude (save this):
Agent looping lets your AI agents handle the end-to-end prompting process (discovery, planning, work, checking).
Here is how to properly set up agent loops inside Claude (save this):
✍1
🇨🇭 Global One SI - Prompt
If you're not agent looping, you're falling behind - fast. Agent looping lets your AI agents handle the end-to-end prompting process (discovery, planning, work, checking). Here is how to properly set up agent loops inside Claude (save this):
Everyone should be using this AI slash command.
/no-mistakes
An agent skill that makes your workspace perfect by reducing bugs, improving fixes, and so on.
Works inside Claude Code & Codex.
github.com/kunchenguid/no-mistakes
/no-mistakes
An agent skill that makes your workspace perfect by reducing bugs, improving fixes, and so on.
Works inside Claude Code & Codex.
github.com/kunchenguid/no-mistakes
✍1