China's central bank is injecting liquidity into its financial system:
China's central bank injected +$14.8 billion into its banking system this month through its one-year Medium-Term Lending Facility (MLF) operation, the largest such liquidity injection in 5 months.
The MLF is a tool that allows the China's central bank to provide funding directly to commercial banks, helping ensure they have enough liquidity to support lending and financial stability.
Combined with +$103.3 billion added earlier this month through reverse repurchase operations, where the central bank temporarily lends money to banks in exchange for securities, total liquidity support surged to its highest level since February.
This follows 4 consecutive months of declining liquidity in the financial system.
The move comes after weaker-than-expected Q2 economic data and ahead of record government bond issuance in Q3.
China is boosting liquidity.
China's central bank injected +$14.8 billion into its banking system this month through its one-year Medium-Term Lending Facility (MLF) operation, the largest such liquidity injection in 5 months.
The MLF is a tool that allows the China's central bank to provide funding directly to commercial banks, helping ensure they have enough liquidity to support lending and financial stability.
Combined with +$103.3 billion added earlier this month through reverse repurchase operations, where the central bank temporarily lends money to banks in exchange for securities, total liquidity support surged to its highest level since February.
This follows 4 consecutive months of declining liquidity in the financial system.
The move comes after weaker-than-expected Q2 economic data and ahead of record government bond issuance in Q3.
China is boosting liquidity.
🇨🇭 Global One SI - Prompt
The new skill: writing loops that handle the entire prompting process for you. If you're not already doing this, don't worry, I got you. I cut through the noise and built the only /loop guide you'll ever need:
Most people use Hermes for quick tasks.
99% of people are missing Hermes best use case:
Turning Hermes into your personal financial research assistant.
Here's how to set it up as a research analyst that works while you sleep:
Step 1. Connect a financial data source
Inside Hermes, add an MCP server for live market data (Financial Datasets MCP or similar).
" --transport http financial-datasets mcp.financialdatasets.ai "
This gives your agent direct access to fundamentals, price history, and financial statements instead of relying on stale training data.
Step 2. Build a research context file
Create a file that holds your investment thesis, watchlist, risk tolerance, and the sectors you actually care about.
Hermes reads this before every research task instead of starting cold.
Step 3. Run a deep research loop
"/loop every day at 6am. Pull the latest fundamentals and news for every ticker on my watchlist, flag anything with unusual volume, earnings surprises, or analyst rating changes, cross-reference against my investment thesis in context.md, write a summary to research.md, stop when the summary is complete."
Now every morning you wake up to a fully researched brief instead of scrolling through five different apps.
What to actually ask it:
→ "Pull every earnings call transcript from this sector in the last quarter and summarize the common themes"
→ "Compare the fundamentals of these three companies and tell me which has the strongest balance sheet"
→ "Find any 13F filings that added exposure to this ticker last quarter"
If you haven't set this up with Hermes yet, make sure to save this post.
99% of people are missing Hermes best use case:
Turning Hermes into your personal financial research assistant.
Here's how to set it up as a research analyst that works while you sleep:
Step 1. Connect a financial data source
Inside Hermes, add an MCP server for live market data (Financial Datasets MCP or similar).
" --transport http financial-datasets mcp.financialdatasets.ai "
This gives your agent direct access to fundamentals, price history, and financial statements instead of relying on stale training data.
Step 2. Build a research context file
Create a file that holds your investment thesis, watchlist, risk tolerance, and the sectors you actually care about.
Hermes reads this before every research task instead of starting cold.
Step 3. Run a deep research loop
"/loop every day at 6am. Pull the latest fundamentals and news for every ticker on my watchlist, flag anything with unusual volume, earnings surprises, or analyst rating changes, cross-reference against my investment thesis in context.md, write a summary to research.md, stop when the summary is complete."
Now every morning you wake up to a fully researched brief instead of scrolling through five different apps.
What to actually ask it:
→ "Pull every earnings call transcript from this sector in the last quarter and summarize the common themes"
→ "Compare the fundamentals of these three companies and tell me which has the strongest balance sheet"
→ "Find any 13F filings that added exposure to this ticker last quarter"
If you haven't set this up with Hermes yet, make sure to save this post.
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China is giving away AI for free. The most valuable companies in the US want the same.
Nvidia co-founder Jensen Huang made his first public statement this week, publishing a letter signed by 25 people.
The letter's demand is clear:
AI models should remain open for everyone to download and run on their own servers.
Signatories include Nvidia, Meta, Microsoft, IBM, and Palantir.
Elon Musk and Mark Zuckerberg have also openly supported the idea.
Everyone interprets AI as a race between China and the US.
However, they both want the same thing. China has been releasing its powerful models for download for months, and now the biggest companies in the US want the same to happen.
The question is:
Why is the leading competitor defending the methods of the one lagging behind?
Let's correct a misunderstanding first.
An open model doesn't mean a free model.
What's open is the model's file.
Downloading is free, but running it isn't. You need servers, you need electricity, you need engineers. Running your own model on a small scale is often more expensive than paying for ready-made services.
This distinction explains everything.
Consider Nvidia's calculations.
If the models remain unavailable, they will run in the data centers of 3 or 4 large companies.
Nvidia's customers will be those few companies. They will make bulk purchases, negotiate prices, and after a while, they will start producing their own chips. They already have.
If the models become downloadable, the picture changes.
Every bank, every hospital, every factory, every university, every government institution will want to run its own model on its own server. The number of customers will increase from 3 to millions, and none will be large enough to negotiate.
So Huang doesn't want his product to be free. He wants the hardware that runs his product to be free.
As the model becomes cheaper, the demand for the hardware that runs that model increases.
Now look at the list again.
Nvidia co-founder Jensen Huang made his first public statement this week, publishing a letter signed by 25 people.
The letter's demand is clear:
AI models should remain open for everyone to download and run on their own servers.
Signatories include Nvidia, Meta, Microsoft, IBM, and Palantir.
Elon Musk and Mark Zuckerberg have also openly supported the idea.
Everyone interprets AI as a race between China and the US.
However, they both want the same thing. China has been releasing its powerful models for download for months, and now the biggest companies in the US want the same to happen.
The question is:
Why is the leading competitor defending the methods of the one lagging behind?
Let's correct a misunderstanding first.
An open model doesn't mean a free model.
What's open is the model's file.
Downloading is free, but running it isn't. You need servers, you need electricity, you need engineers. Running your own model on a small scale is often more expensive than paying for ready-made services.
This distinction explains everything.
Consider Nvidia's calculations.
If the models remain unavailable, they will run in the data centers of 3 or 4 large companies.
Nvidia's customers will be those few companies. They will make bulk purchases, negotiate prices, and after a while, they will start producing their own chips. They already have.
If the models become downloadable, the picture changes.
Every bank, every hospital, every factory, every university, every government institution will want to run its own model on its own server. The number of customers will increase from 3 to millions, and none will be large enough to negotiate.
So Huang doesn't want his product to be free. He wants the hardware that runs his product to be free.
As the model becomes cheaper, the demand for the hardware that runs that model increases.
Now look at the list again.
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🇨🇭 Global One SI - Prompt
Photo
There are chip manufacturers, server manufacturers, cloud companies, security companies, application companies, and investment funds.
There are no companies whose main business is selling the model itself.
It's not who signed, but who didn't sign that provides information.
This game has a name and a history.
IBM invested nearly $1 billion in Linux in 2001. Its goal wasn't to make money from software, but to dry up the revenue of its software-selling competitor.
Google also left Android open and offered a free operating system to its phone-selling competitor.
In both cases, the side giving it away for free wasn't generous. It was destroying the layer from which its competitor was making money.
IBM is also signed at the bottom of this letter.
The calculation is even clearer on the Chinese side.
China cannot obtain the most advanced chips.
If the competition is about having the biggest model, it loses. The value of having a big model decreases the moment the model becomes downloadable.
So, openness is the weapon of those lagging behind in chip technology.
Moreover, giving it away for free costs China almost nothing.
Those models can't easily be sold to the West because of trust and regulatory hurdles, meaning they're giving away something with near-zero resale value.
You don't need to surpass your competitor; it's enough to make it impossible for them to make money.
But the real gain is something else.
Engineers learn on the model they can touch.
Tools, methods, and habits accumulate around what's downloadable. Companies build their products on top of it, and changing it later becomes expensive.
The standard is built around what everyone gets their hands on, not the best.
And then there's the hardware side.
If the world builds on Chinese models, those models will be optimized for China. The software ecosystem will drag the hardware ecosystem along with it.
That's Huang's main fear.
Now let's go back to the initial picture.
China and the US are aiming for the same thing: a system of making money by selling the model itself.
In the US, regulations are being discussed to restrict the release of open models, and these companies fear that if their own government ties their hands, the open space will be entirely left to China.
That's the main point of the letter.
Don't tie our hands while the other side distributes everything.
What's happening here isn't unique to artificial intelligence.
If a technology starts being given away for free, it's not a gift, it's a tool used to dismantle a profit-making layer.
The one who gives the foundation away for free also sets the standard.
The meaning of this for us is clear.
Without open models, a country would have to rent its intelligence from three companies. With open models, it would run it on its own server, not share its data externally, and modify it according to its own needs.
The word sovereignty in the letter says exactly this.
Everyone thinks this is a debate about openness and security.
However, what's being decided is whose foundation the world will build its artificial intelligence upon.
What's being given away for free isn't the model, it's the standard itself.
There are no companies whose main business is selling the model itself.
It's not who signed, but who didn't sign that provides information.
This game has a name and a history.
IBM invested nearly $1 billion in Linux in 2001. Its goal wasn't to make money from software, but to dry up the revenue of its software-selling competitor.
Google also left Android open and offered a free operating system to its phone-selling competitor.
In both cases, the side giving it away for free wasn't generous. It was destroying the layer from which its competitor was making money.
IBM is also signed at the bottom of this letter.
The calculation is even clearer on the Chinese side.
China cannot obtain the most advanced chips.
If the competition is about having the biggest model, it loses. The value of having a big model decreases the moment the model becomes downloadable.
So, openness is the weapon of those lagging behind in chip technology.
Moreover, giving it away for free costs China almost nothing.
Those models can't easily be sold to the West because of trust and regulatory hurdles, meaning they're giving away something with near-zero resale value.
You don't need to surpass your competitor; it's enough to make it impossible for them to make money.
But the real gain is something else.
Engineers learn on the model they can touch.
Tools, methods, and habits accumulate around what's downloadable. Companies build their products on top of it, and changing it later becomes expensive.
The standard is built around what everyone gets their hands on, not the best.
And then there's the hardware side.
If the world builds on Chinese models, those models will be optimized for China. The software ecosystem will drag the hardware ecosystem along with it.
That's Huang's main fear.
Now let's go back to the initial picture.
China and the US are aiming for the same thing: a system of making money by selling the model itself.
In the US, regulations are being discussed to restrict the release of open models, and these companies fear that if their own government ties their hands, the open space will be entirely left to China.
That's the main point of the letter.
Don't tie our hands while the other side distributes everything.
What's happening here isn't unique to artificial intelligence.
If a technology starts being given away for free, it's not a gift, it's a tool used to dismantle a profit-making layer.
The one who gives the foundation away for free also sets the standard.
The meaning of this for us is clear.
Without open models, a country would have to rent its intelligence from three companies. With open models, it would run it on its own server, not share its data externally, and modify it according to its own needs.
The word sovereignty in the letter says exactly this.
Everyone thinks this is a debate about openness and security.
However, what's being decided is whose foundation the world will build its artificial intelligence upon.
What's being given away for free isn't the model, it's the standard itself.
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🇨🇭 Global One SI - Prompt
How America is drawn into a conflict with Iran that allows Israel to become a global superpower. Civil unrest, chaos. Rabbi Isser Zalman Weisberg's drastic shift to a Jerusalem-centered world order by October 2027. Series of Events: 1. Political Realignment…
Once you understand Israel's goal is to destroy both America and the Middle East, everything Trump is doing makes sense.
🇨🇭 Global One SI - Prompt
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The Yemen war has apparently begun, tossing the entire region into war.
🇨🇭 Global One SI - Prompt
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Netanyahu is visiting Trump in Washington, D.C. from Monday July 27, 2026 to Wednesday July 29, 2026.
The last time Netanyahu visited Trump on Monday December 29, 2025 to January 2nd, 2026, the Venezuela invasion began the next day January 3rd.
The last time Netanyahu visited Trump on Monday December 29, 2025 to January 2nd, 2026, the Venezuela invasion began the next day January 3rd.
🇨🇭 Global One SI - Prompt
As per reports - US, Israel, Bahrain, UAE, Kuwait, Saudi Arabia & Jordan are preparing for a joint military operation against Iran & it's proxy Houthis in Yemen. This operation may start as soon as possible by next week.
Saudi Arabia is attacking key targets across Yemen right now.
We're also seeing a massive inflow of US military equipment into Israel and Jordan.
We're also seeing a massive inflow of US military equipment into Israel and Jordan.
🇨🇭 Global One SI - Prompt
BREAKING 🚨: Tesla $TSLA has now plunged 38% since its December 2025 all-time high, a total market cap loss of almost $500 Billion 📉 📉
Did you know Tesla is leasing Cybertrucks to $SPCX employees at a subsidized $400 per month to boost the $TSLA sales numbers?
🇨🇭 Global One SI - Prompt
The Yemen war has apparently begun, tossing the entire region into war.
Still believe this isn't all planned by those in power?
The Four Horsemen:
1st (white) - Conquest, arrival of the antichrist
2nd (red) - Global war / civil war
3rd (black) - Famine / economic collapse
4th (pale) - Death of 1/4 of the world's population
The Four Horsemen:
1st (white) - Conquest, arrival of the antichrist
2nd (red) - Global war / civil war
3rd (black) - Famine / economic collapse
4th (pale) - Death of 1/4 of the world's population
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🇨🇭 Global One SI - Prompt
Iranian regime-linked propaganda channels have begun threatening Ukraine with ballistic missile strikes. The threats follow Ukraine's overnight strikes on two vessels in the Caspian Sea that were reportedly being used to transport military cargo between Russia…
🇺🇦Ukraine just turned the Caspian Sea into a new front in the war.
According to President Zelensky, Ukrainian forces have carried out long-range drone strikes on ships in the Caspian Sea transporting Iranian military cargo.
The inland sea, shared by Russia and Iran, has served as a quiet logistics corridor for Iranian supplies to Moscow since the invasion.
Primarily targeting Russian vessels, the strikes disrupt a key Iranian supply line of drones and components, potentially forcing Russia onto longer and costlier routes. They also expose vulnerabilities deep in Russia’s rear areas, which could compel Moscow to divert scarce air defenses and further strain its already overstretched resources.
📌Russia uses short-range systems such as Pantsir, Tor or similar for point defense around platforms and ports.
According to President Zelensky, Ukrainian forces have carried out long-range drone strikes on ships in the Caspian Sea transporting Iranian military cargo.
The inland sea, shared by Russia and Iran, has served as a quiet logistics corridor for Iranian supplies to Moscow since the invasion.
Primarily targeting Russian vessels, the strikes disrupt a key Iranian supply line of drones and components, potentially forcing Russia onto longer and costlier routes. They also expose vulnerabilities deep in Russia’s rear areas, which could compel Moscow to divert scarce air defenses and further strain its already overstretched resources.
📌Russia uses short-range systems such as Pantsir, Tor or similar for point defense around platforms and ports.
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🇨🇭 Global One SI - Prompt
Did you know Tesla is leasing Cybertrucks to $SPCX employees at a subsidized $400 per month to boost the $TSLA sales numbers?
Tesla $TSLA plunged nearly 18% this week, its largest weekly decline since 2022 📉 📉
🇨🇭 Global One SI - Prompt
Bitmex and Bitmart shutting down in less than a week..
Ascendex shut down a few weeks ago.
I don't know but I wouldn't be surprised if other exchange follow suit.
It wouldn't be a bad idea to withdraw your tokens to your personal wallet if you are using a tier-2 exchange
Ascendex shut down a few weeks ago.
I don't know but I wouldn't be surprised if other exchange follow suit.
It wouldn't be a bad idea to withdraw your tokens to your personal wallet if you are using a tier-2 exchange
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