🇨🇭 Global One SI - Prompt
$AKAM/USD H2 #Indicator #Signal #Trading #GlobalOneAI
$AKAM what next target?
🇨🇭 Global One SI - Prompt
$ZSQR is starting to show early signs of stabilization after the post-merger reset. Several technical indicators are now beginning to display positive divergences while the stock continues trading near deeply oversold conditions. → RSI attempting to recover…
Starting to see the exact type of stabilization discussed yesterday 👀
$ZSQR bouncing directly from the key support area while downside momentum continues fading.
Yesterday:
→ panic was fading
→ selling pressure was weakening
→ momentum exhaustion was beginning to appear
Today:
📈 buyers finally stepping in
📈 strong reaction off support
📈 structure beginning to improve
Still early — but this is usually how reversals begin:
→ sellers exhaust themselves
→ attention slowly returns
→ momentum starts rebuilding
If buyers continue reclaiming momentum from here, the $13.50 zone starts coming back into focus again 👀
$ZSQR bouncing directly from the key support area while downside momentum continues fading.
Yesterday:
→ panic was fading
→ selling pressure was weakening
→ momentum exhaustion was beginning to appear
Today:
📈 buyers finally stepping in
📈 strong reaction off support
📈 structure beginning to improve
Still early — but this is usually how reversals begin:
→ sellers exhaust themselves
→ attention slowly returns
→ momentum starts rebuilding
If buyers continue reclaiming momentum from here, the $13.50 zone starts coming back into focus again 👀
🇨🇭 Global One SI - Prompt
$REPL Wants the Gap Filled
$REPL acting like a I mentioned! Amazing performance here
💯2
18% of US businesses are already using AI in 2026.
Among companies with 250+ employees, that number jumps to 32.5%.
This map shows the demand side of the AI economy who's adopting, where, how fast.
It's the wrong half of the trade.
Because every percentage point on this map turns into compute load.
Compute load turns into gigawatts of electricity demand.
And in the 2026–2028 window, the marginal megawatt for US AI is gas-fired.
Nuclear is too slow.
Renewables can't carry baseload at this density.
The 18.7 GW of new combined-cycle gas capacity going in by 2028 is the largest single-year CCGT addition since 2018 and most of it is being built specifically for AI campuses.
That gas has to come out of the Permian and almost nobody is asking the obvious next question:
Who actually owns the pipes between Permian gas supply and every AI data center being built in Texas and the Gulf?(
Among companies with 250+ employees, that number jumps to 32.5%.
This map shows the demand side of the AI economy who's adopting, where, how fast.
It's the wrong half of the trade.
Because every percentage point on this map turns into compute load.
Compute load turns into gigawatts of electricity demand.
And in the 2026–2028 window, the marginal megawatt for US AI is gas-fired.
Nuclear is too slow.
Renewables can't carry baseload at this density.
The 18.7 GW of new combined-cycle gas capacity going in by 2028 is the largest single-year CCGT addition since 2018 and most of it is being built specifically for AI campuses.
That gas has to come out of the Permian and almost nobody is asking the obvious next question:
Who actually owns the pipes between Permian gas supply and every AI data center being built in Texas and the Gulf?(
🔥1
🇨🇭 Global One SI - Prompt
$NBIS Beast!!! Breaking up resistances lines!! What is next target?
Nebius Group $NBIS reports Q1 revenue of $399M, up 684% year over year.
Beyond beating estimates, the firm announced a 1.2GW AI Factory in Pennsylvania to support a $50B backlog for $MSFT Microsoft and $META Meta. Adjusted EBITDA swings to a $129.5M profit.
Beyond beating estimates, the firm announced a 1.2GW AI Factory in Pennsylvania to support a $50B backlog for $MSFT Microsoft and $META Meta. Adjusted EBITDA swings to a $129.5M profit.
🚨 Look where US data center growth is going:
🇺🇸 Texas: +142% market share by 2028
🇺🇸 Georgia: +75%
🇺🇸 Virginia: -35% despite still being the world’s largest data center hub
Most people see this as a land and cooling story.
It’s not.
It’s a power story⚡️
When one state adds 40 GW of new data center capacity in just a few years, the constraint stops being chips or real estate.
It becomes electricity.
And in Texas, the marginal megawatt for AI through 2028 is overwhelmingly gas fired.
So the real question is who owns the pipes feeding the AI boom?
🇺🇸 Texas: +142% market share by 2028
🇺🇸 Georgia: +75%
🇺🇸 Virginia: -35% despite still being the world’s largest data center hub
Most people see this as a land and cooling story.
It’s not.
It’s a power story⚡️
When one state adds 40 GW of new data center capacity in just a few years, the constraint stops being chips or real estate.
It becomes electricity.
And in Texas, the marginal megawatt for AI through 2028 is overwhelmingly gas fired.
So the real question is who owns the pipes feeding the AI boom?
$FEAM — Starting to look VERY interesting here 👀
After months of heavy downside pressure… this chart is finally showing signs of life again.
Price just pushed back through the key $1.80 resistance zone with volume increasing and momentum beginning to curl higher.
This is exactly how reversal structures start building.
The Technicals:
✅ Clean breakout over descending resistance
✅ TTM Squeeze resetting for expansion
✅ Buyers stepping back in on volume
✅ RSI reclaiming strength
✅ Base formation developing after capitulation
The risk/reward here starts getting attractive if momentum continues building above:
—> $1.95–$2.00
And if this fully confirms the reversal…
- $2.75+
- $3.25+ becomes possible fast.
Small-cap materials names can move violently once momentum traders pile in.
Still feels EARLY before the crowd notices.
After months of heavy downside pressure… this chart is finally showing signs of life again.
Price just pushed back through the key $1.80 resistance zone with volume increasing and momentum beginning to curl higher.
This is exactly how reversal structures start building.
The Technicals:
✅ Clean breakout over descending resistance
✅ TTM Squeeze resetting for expansion
✅ Buyers stepping back in on volume
✅ RSI reclaiming strength
✅ Base formation developing after capitulation
The risk/reward here starts getting attractive if momentum continues building above:
—> $1.95–$2.00
And if this fully confirms the reversal…
- $2.75+
- $3.25+ becomes possible fast.
Small-cap materials names can move violently once momentum traders pile in.
Still feels EARLY before the crowd notices.
🚨 Look at the size of those circles in Texas
in the image is mapped every major US data center against the high-voltage transmission grid.
The biggest clusters by far sit inside the Dallas–Fort Worth–Houston triangle.
It’s actually an energy map.
The visible layers are:
🟤 Data centers = demand
⚡ Transmission lines = delivery
The invisible layer is the one that matters most:
🔥 Power generation
And in Texas, the marginal megawatt feeding AI through 2028 is gas-fired.
That gas comes from the Permian.
So the real question is not who owns the AI models.
It’s: who owns the pipes connecting Permian gas to the Texas AI corridor?
in the image is mapped every major US data center against the high-voltage transmission grid.
The biggest clusters by far sit inside the Dallas–Fort Worth–Houston triangle.
It’s actually an energy map.
The visible layers are:
🟤 Data centers = demand
⚡ Transmission lines = delivery
The invisible layer is the one that matters most:
🔥 Power generation
And in Texas, the marginal megawatt feeding AI through 2028 is gas-fired.
That gas comes from the Permian.
So the real question is not who owns the AI models.
It’s: who owns the pipes connecting Permian gas to the Texas AI corridor?
🚨$5.5 trillion
That's Nvidia today
the first company in history to clear $5T market cap.
The market is pricing NVIDIA as the picks and shovels of the AI build.
But you must know the following...
A GPU is a brick of silicon until firm electricity reaches it.
In the 2026–2028 window, the marginal megawatt powering US AI is gas-fired.
Nuclear is too slow.
Renewables can't carry baseload at this density.
In US the 18.7 GW of new combined cycle gas capacity going in by 2028 is the largest single year most of it built specifically for AI campuses in Texas and along the Gulf.
That gas has to come out of the Permian.
So if Nvidia is "picks and shovels" at $5.5 trillion, what does that make the company that owns the pipes feeding every shovel in Texas?
That's Nvidia today
the first company in history to clear $5T market cap.
The market is pricing NVIDIA as the picks and shovels of the AI build.
But you must know the following...
A GPU is a brick of silicon until firm electricity reaches it.
In the 2026–2028 window, the marginal megawatt powering US AI is gas-fired.
Nuclear is too slow.
Renewables can't carry baseload at this density.
In US the 18.7 GW of new combined cycle gas capacity going in by 2028 is the largest single year most of it built specifically for AI campuses in Texas and along the Gulf.
That gas has to come out of the Permian.
So if Nvidia is "picks and shovels" at $5.5 trillion, what does that make the company that owns the pipes feeding every shovel in Texas?
$KULR — One of the cleanest reversal setups in the market right now 👀
After months trapped in a brutal downtrend… this thing is finally breaking out of a massive falling wedge with volume rushing back in.
That’s not random action.
That’s momentum returning.
The Technicals:
✅ Major falling wedge breakout
✅ Multi-month downtrend line broken
✅ Strong volume confirmation
✅ Sellers losing control rapidly
✅ TTM downside momentum fading
The important part:
price is now reclaiming key psychological levels while the market still isn’t paying enough attention.
If buyers keep defending:
$3.50–$3.80
then the next expansion zone opens toward:
$6+
- potentially much higher if momentum fully ignites again
These small-cap momentum names can go vertical once traders start chasing.
Feels like the beginning of a much bigger reversal move.
After months trapped in a brutal downtrend… this thing is finally breaking out of a massive falling wedge with volume rushing back in.
That’s not random action.
That’s momentum returning.
The Technicals:
✅ Major falling wedge breakout
✅ Multi-month downtrend line broken
✅ Strong volume confirmation
✅ Sellers losing control rapidly
✅ TTM downside momentum fading
The important part:
price is now reclaiming key psychological levels while the market still isn’t paying enough attention.
If buyers keep defending:
$3.50–$3.80
then the next expansion zone opens toward:
$6+
- potentially much higher if momentum fully ignites again
These small-cap momentum names can go vertical once traders start chasing.
Feels like the beginning of a much bigger reversal move.
$OUST — AI infrastructure momentum is heating up again 👀
This chart has been quietly rebuilding for months… and now buyers are forcing a breakout from a major compression structure.
The move over $30 is important.
That level rejected price multiple times — now it’s starting to flip into support.
The Technicals:
✅ Bullish wedge breakout triggering
✅ Heavy volume confirming interest
✅ TTM momentum turning back up
✅ Multi-month higher low structure intact
✅ Expansion setup targeting new highs
What stands out most:
📈 sellers are losing control
📈 dips keep getting bought
📈 momentum keeps rebuilding after every pullback
If this confirms over:
$33–$35
then the next major expansion zone opens toward:
$41+
- potentially $50+ later if AI infrastructure names stay hot
This still looks like institutions accumulating, not distributing.
The trend is starting to re-accelerate.
This chart has been quietly rebuilding for months… and now buyers are forcing a breakout from a major compression structure.
The move over $30 is important.
That level rejected price multiple times — now it’s starting to flip into support.
The Technicals:
✅ Bullish wedge breakout triggering
✅ Heavy volume confirming interest
✅ TTM momentum turning back up
✅ Multi-month higher low structure intact
✅ Expansion setup targeting new highs
What stands out most:
📈 sellers are losing control
📈 dips keep getting bought
📈 momentum keeps rebuilding after every pullback
If this confirms over:
$33–$35
then the next major expansion zone opens toward:
$41+
- potentially $50+ later if AI infrastructure names stay hot
This still looks like institutions accumulating, not distributing.
The trend is starting to re-accelerate.
🚨DATA CENTERS ARE BECOMING A POWER GIANT.
AI is reshaping US electricity demand.
0.5% of US power in 2004
2% by 2016
4% in 2022
7%+ in 2025
More data centers = more gas, more pipelines, more LNG.
Now connect the dots.
1 company sits on the largest US pipeline network about 130,000 miles including the corridor between Permian gas supply and every AI data center being built in Texas and along the Gulf.
AI is reshaping US electricity demand.
0.5% of US power in 2004
2% by 2016
4% in 2022
7%+ in 2025
More data centers = more gas, more pipelines, more LNG.
Now connect the dots.
1 company sits on the largest US pipeline network about 130,000 miles including the corridor between Permian gas supply and every AI data center being built in Texas and along the Gulf.
🤩1
⛏️ AI Runs On Minerals
🤖Not Just Code
Every data center rack hides a supply chain reality most investors ignore.
The AI boom is also a metals story.
🖥️ Server Boards & Circuitry
• Gold
• Palladium
• Tin
• Copper
• Platinum
• Tantalum
US import reliance:
• Tantalum: 100%
• Tin: 73%
• Palladium: 36%
• Copper: 45%
❄️ Heat Sinks
• Aluminum (47% import reliance)
• Copper (45%)
Cooling AI chips requires industrial-scale metal inputs.
🧠 Semiconductors
Critical materials:
• Gallium: 100% import reliant
• Germanium: 100%
• Arsenic: 100%
• Indium: 100%
• Tantalum: 100%
• Rare Earth Elements: 80%
This is strategic dependency.
💾 Storage
Even hard drives rely on:
• Platinum
• Palladium
• Rare earths
• Barite
What This Means
The AI revolution is also a critical minerals revolution.
Data centers =
• Energy demand
• Metal intensity
• Import exposure
When Washington talks about AI leadership, it is also talking about:
• China
• Canada
• Africa
• Supply chain leverage
Silicon Valley runs on geology.
And geopolitics runs through minerals.
🤖Not Just Code
Every data center rack hides a supply chain reality most investors ignore.
The AI boom is also a metals story.
🖥️ Server Boards & Circuitry
• Gold
• Palladium
• Tin
• Copper
• Platinum
• Tantalum
US import reliance:
• Tantalum: 100%
• Tin: 73%
• Palladium: 36%
• Copper: 45%
❄️ Heat Sinks
• Aluminum (47% import reliance)
• Copper (45%)
Cooling AI chips requires industrial-scale metal inputs.
🧠 Semiconductors
Critical materials:
• Gallium: 100% import reliant
• Germanium: 100%
• Arsenic: 100%
• Indium: 100%
• Tantalum: 100%
• Rare Earth Elements: 80%
This is strategic dependency.
💾 Storage
Even hard drives rely on:
• Platinum
• Palladium
• Rare earths
• Barite
What This Means
The AI revolution is also a critical minerals revolution.
Data centers =
• Energy demand
• Metal intensity
• Import exposure
When Washington talks about AI leadership, it is also talking about:
• China
• Canada
• Africa
• Supply chain leverage
Silicon Valley runs on geology.
And geopolitics runs through minerals.
🇨🇭 Global One SI - Prompt
Wall Street doesn't want you to know this exists. Deep financial research used to cost thousands of dollars and require 5+ active subscriptions. Now, you can literally connect FREE MCP servers to Claude and get the best financial research available in real…
How to short the biggest market bubble in history:
✍1
US data center construction spending jumped +34% YoY in March, to a record $50 billion annualized rate.
Spending on data centers is up +437% since the beginning of 2021, when the annualized rate stood at ~$9 billion.
This is also up +688% since the start of 2018, when the annualized rate was just ~$6 billion.
Meanwhile, office building construction spending fell -9% YoY in March, to $46 billion, the lowest since 2015.
This means that spending on data centers now exceeds office building construction by $4 billion, or +9%.
To put this into perspective, office construction spending exceeded data center spending by $65 billion, or +650%, in 2020.
AI is fundamentally transforming the US economy.
Spending on data centers is up +437% since the beginning of 2021, when the annualized rate stood at ~$9 billion.
This is also up +688% since the start of 2018, when the annualized rate was just ~$6 billion.
Meanwhile, office building construction spending fell -9% YoY in March, to $46 billion, the lowest since 2015.
This means that spending on data centers now exceeds office building construction by $4 billion, or +9%.
To put this into perspective, office construction spending exceeded data center spending by $65 billion, or +650%, in 2020.
AI is fundamentally transforming the US economy.