AkhenOsiris
$AMZN
Energy headline for new DC in Indiana:
Amazon’s energy strategy is part of our customer obsession, and that includes the communities where we operate. That’s why Amazon and NIPSCO have established a first-of its kind framework specifically developed with local residents and small businesses in mind, to power Amazon data centers—helping to bring more connectivity, faster speeds, and innovative AI tools locally and across the U.S.—while delivering substantial benefits to existing customers. Through its newly created subsidiary, NIPSCO Generation LLC (GenCo), Amazon will pay fees to use existing power lines and cover the costs for any new power plants, power lines, or equipment needed to serve the data center project—without additional cost to local residents and businesses. This is just one way Amazon is structuring new energy deals to ensure communities aren't impacted.
“This agreement structure with Amazon represents approximately $1 billion in cost savings over 15 years to our existing NIPSCO electric customers while strengthening our regional grid and economic future,” said Vince Parisi, NIPSCO president and chief operating officer. “By structuring this agreement thoughtfully, we're ensuring our current customers are protected, without increasing their rates, while we expand our capacity to meet growing demands. This project isn't just about powering data centers, it's about powering possibilities for our communities through thousands of new jobs, an expanded tax base, and building a skilled workforce in Northern Indiana for long-term growth and prosperity.”
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$AMZN
Energy headline for new DC in Indiana:
Amazon’s energy strategy is part of our customer obsession, and that includes the communities where we operate. That’s why Amazon and NIPSCO have established a first-of its kind framework specifically developed with local residents and small businesses in mind, to power Amazon data centers—helping to bring more connectivity, faster speeds, and innovative AI tools locally and across the U.S.—while delivering substantial benefits to existing customers. Through its newly created subsidiary, NIPSCO Generation LLC (GenCo), Amazon will pay fees to use existing power lines and cover the costs for any new power plants, power lines, or equipment needed to serve the data center project—without additional cost to local residents and businesses. This is just one way Amazon is structuring new energy deals to ensure communities aren't impacted.
“This agreement structure with Amazon represents approximately $1 billion in cost savings over 15 years to our existing NIPSCO electric customers while strengthening our regional grid and economic future,” said Vince Parisi, NIPSCO president and chief operating officer. “By structuring this agreement thoughtfully, we're ensuring our current customers are protected, without increasing their rates, while we expand our capacity to meet growing demands. This project isn't just about powering data centers, it's about powering possibilities for our communities through thousands of new jobs, an expanded tax base, and building a skilled workforce in Northern Indiana for long-term growth and prosperity.”
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AkhenOsiris
$GENI
From earlier this morning:
Citizens reiterated Outperform, $15 target.
The firm expects the upcoming investor day to focus on EBITDA margin progression from the current 20-30% range, free cash flow metrics, and the trajectory of the media business. Citizens noted that Genius Sports’ fundamental thesis has remained largely consistent since its previous investor day in early 2022.
They highlighted that major operators like DraftKings and FanDuel, which control approximately 70% of the sports betting market share, are increasingly focused on driving higher in-play betting mix. In-play handle currently represents about half of their respective businesses.
Citizens projects that 2026 could mark a meaningful inflection point for in-play betting, potentially shifting Genius Sports toward a more lucrative take-rate model as the industry evolves beyond its current focus on pre-game parlays.
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$GENI
From earlier this morning:
Citizens reiterated Outperform, $15 target.
The firm expects the upcoming investor day to focus on EBITDA margin progression from the current 20-30% range, free cash flow metrics, and the trajectory of the media business. Citizens noted that Genius Sports’ fundamental thesis has remained largely consistent since its previous investor day in early 2022.
They highlighted that major operators like DraftKings and FanDuel, which control approximately 70% of the sports betting market share, are increasingly focused on driving higher in-play betting mix. In-play handle currently represents about half of their respective businesses.
Citizens projects that 2026 could mark a meaningful inflection point for in-play betting, potentially shifting Genius Sports toward a more lucrative take-rate model as the industry evolves beyond its current focus on pre-game parlays.
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Offshore
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Dimitry Nakhla | Babylon Capital®
RT @StockMKTNewz: Meta Platforms $META is reportedly considering using Google $GOOGL's TPUs in their data centers - The Information https://t.co/qi490TyAnb
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RT @StockMKTNewz: Meta Platforms $META is reportedly considering using Google $GOOGL's TPUs in their data centers - The Information https://t.co/qi490TyAnb
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Offshore
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EndGame Macro
China’s Long Glide into Slowdown And The Real Story Behind the Red Line
When you step back and look at this chart, you’re basically watching China’s entire post 2008 playbook drawn as a single line. The red curve tells the story better than any policy memo ever could. China leaned on credit harder and longer than any major economy, and it worked for a while. The early stimulus built things the country actually needed like rails, roads, airports, basic infrastructure. Growth exploded, and the world looked at China like it had discovered a cheat code.
But every credit cycle eventually hits diminishing returns, and you can see that happening in real time. By the mid 2010s, Beijing knew the system was getting unstable and tried a deleveraging moment. It didn’t last because growth softened and political tolerance for pain is low. So they went back to the old model, but this time the output wasn’t 10% growth, it was a property bubble, stressed local governments, and a financial system stretched across layers of shadow lending.
What really changes the tone is 2022. That’s the moment China’s total non financial debt surpasses U.S. and EU levels, even though the country is still dramatically poorer per capita. That’s the profile of a system that has already spent tomorrow’s growth to pay for yesterday’s. And now, with property cracking and domestic demand weakening, they’re leaning again on targeted stimulus to prevent a disorderly unwind. It’s no longer about creating the future; it’s about maintaining the balance sheet.
The Push Abroad, And What It Really Means
The other half of the story is this idea that China is trying to export its way out of deflation. You can see why they’d try. Domestic consumption is soft. Real estate isn’t coming back in any meaningful way. Factories have excess capacity. So they’re pushing goods outward like EV’s, solar panels, machinery hoping global markets can absorb what the domestic economy can’t.
But that strategy carries its own risks. It puts China on a collision course with the U.S. and Europe, both of which have become far more protective of their own industries. And even if China can sell more abroad, it doesn’t fix the fundamental issue that households at home aren’t spending, developers are underwater, and local governments are suffocating under years of accumulated liabilities. The chart is blunt: the more they push, the more the debt burden grows, and the harder it becomes to generate genuine, organic growth from within.
In my opinion, China is already slipping into a long, slow chapter that looks less like its 2000s boom and more like Japan’s post bubble era, just compressed into a tighter, more politically managed timeframe. Not a dramatic collapse, but a stretched out stagnation marked by endless interventions, declining returns on stimulus, and a system that never fully resets. And that means the world should probably stop waiting for the next China boom. That era is over. What’s coming next is an economy trying to keep the machine running without the engine that once powered it.
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China’s Long Glide into Slowdown And The Real Story Behind the Red Line
When you step back and look at this chart, you’re basically watching China’s entire post 2008 playbook drawn as a single line. The red curve tells the story better than any policy memo ever could. China leaned on credit harder and longer than any major economy, and it worked for a while. The early stimulus built things the country actually needed like rails, roads, airports, basic infrastructure. Growth exploded, and the world looked at China like it had discovered a cheat code.
But every credit cycle eventually hits diminishing returns, and you can see that happening in real time. By the mid 2010s, Beijing knew the system was getting unstable and tried a deleveraging moment. It didn’t last because growth softened and political tolerance for pain is low. So they went back to the old model, but this time the output wasn’t 10% growth, it was a property bubble, stressed local governments, and a financial system stretched across layers of shadow lending.
What really changes the tone is 2022. That’s the moment China’s total non financial debt surpasses U.S. and EU levels, even though the country is still dramatically poorer per capita. That’s the profile of a system that has already spent tomorrow’s growth to pay for yesterday’s. And now, with property cracking and domestic demand weakening, they’re leaning again on targeted stimulus to prevent a disorderly unwind. It’s no longer about creating the future; it’s about maintaining the balance sheet.
The Push Abroad, And What It Really Means
The other half of the story is this idea that China is trying to export its way out of deflation. You can see why they’d try. Domestic consumption is soft. Real estate isn’t coming back in any meaningful way. Factories have excess capacity. So they’re pushing goods outward like EV’s, solar panels, machinery hoping global markets can absorb what the domestic economy can’t.
But that strategy carries its own risks. It puts China on a collision course with the U.S. and Europe, both of which have become far more protective of their own industries. And even if China can sell more abroad, it doesn’t fix the fundamental issue that households at home aren’t spending, developers are underwater, and local governments are suffocating under years of accumulated liabilities. The chart is blunt: the more they push, the more the debt burden grows, and the harder it becomes to generate genuine, organic growth from within.
In my opinion, China is already slipping into a long, slow chapter that looks less like its 2000s boom and more like Japan’s post bubble era, just compressed into a tighter, more politically managed timeframe. Not a dramatic collapse, but a stretched out stagnation marked by endless interventions, declining returns on stimulus, and a system that never fully resets. And that means the world should probably stop waiting for the next China boom. That era is over. What’s coming next is an economy trying to keep the machine running without the engine that once powered it.
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Quiver Quantitative
Nancy Pelosi made $3.5M in the stock market today, per our estimates.
We estimate that she is now worth $278M. https://t.co/lSrmqK69Qt
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Nancy Pelosi made $3.5M in the stock market today, per our estimates.
We estimate that she is now worth $278M. https://t.co/lSrmqK69Qt
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Offshore
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EndGame Macro
White House Launches the Genesis Mission: America’s New National AI Backbone
If you strip away the branding, Genesis is the U.S. government building a national AI backbone inside the Department of Energy and then inviting the biggest private sector AI players to plug into it. The executive order makes the DOE responsible for building a unified platform that connects national lab supercomputers, cloud AI environments, decades of federal datasets, and automated AI directed laboratories. The purpose is spelled out directly in Section 1: scientific acceleration, national security strength, energy dominance, and technological leadership.
The order goes further than earlier AI initiatives. It doesn’t just talk about safety or innovation, it directs DOE to inventory every compute resource available, including those through industry partners, within 90 days, and stand up an operational capability within 270 days. It also requires top tier data access frameworks, model sharing agreements, intellectual property rules, and strict vetting systems for anyone allowed onto the platform.
DOE’s 17 national labs will open their massive scientific datasets and instruments to approved researchers; AI will be used to accelerate simulations by orders of magnitude; and the platform will run across both government supercomputers and private hyperscalers. Companies like Nvidia, Oracle, Dell, AMD, and Hewlett Packard Enterprise are already named as likely infrastructure partners.
Layer in the earlier White House AI commitments where Amazon, Google, Microsoft, Meta, OpenAI, Anthropic, Inflection, Adobe, IBM, Nvidia, Palantir, Salesforce, Cohere, Scale AI, Stability all agreed to safety testing, watermarking, and security protocols and you see the roster of firms whose models and tools are expected to align with Genesis by design.
Put together, you have a tight, government aligned AI ecosystem spanning chips, compute, cloud, models, data, and safety rules.
What This Will Actually Do
My read is that Genesis serves two goals at once. On the surface, it’s about scientific speed, letting AI search vast design spaces, automate experiments, and explore energy, biotech, materials, and semiconductor breakthroughs faster than human run labs ever could. The executive order explicitly compares it to the Manhattan Project and promises “dramatic acceleration” in discovery.
But underneath, it centralizes the AI stack. Instead of letting the highest end compute and model capabilities drift entirely into the private sector, Genesis pulls them back into a structured federal environment. Access becomes conditional: follow the safety rules, share the data, integrate into the platform and you get to operate at the frontier. Don’t, and you’re on the outside looking in.
It also creates a controlled pipeline for national security use cases in public research data, proprietary data for things like semiconductor R&D, and a classified bucket for defense relevant datasets. That segmentation is deliberate.
And at a geopolitical level, it’s a response to China. The EO makes it explicit: this is about maintaining global technological dominance.
My View
Genesis is the beginning of a nationalized AI infrastructure strategy. It will function as the bridge between government compute and private sector models, letting Washington influence which companies sit closest to the frontier and which capabilities get priority. It will speed up real scientific breakthroughs, but it will also quietly define the rules of the AI race on who participates, who gets access, and how the most powerful systems are directed.
It’s not just an acceleration plan. It’s the architecture of AI power in the U.S. for the next decade.
tweet
White House Launches the Genesis Mission: America’s New National AI Backbone
If you strip away the branding, Genesis is the U.S. government building a national AI backbone inside the Department of Energy and then inviting the biggest private sector AI players to plug into it. The executive order makes the DOE responsible for building a unified platform that connects national lab supercomputers, cloud AI environments, decades of federal datasets, and automated AI directed laboratories. The purpose is spelled out directly in Section 1: scientific acceleration, national security strength, energy dominance, and technological leadership.
The order goes further than earlier AI initiatives. It doesn’t just talk about safety or innovation, it directs DOE to inventory every compute resource available, including those through industry partners, within 90 days, and stand up an operational capability within 270 days. It also requires top tier data access frameworks, model sharing agreements, intellectual property rules, and strict vetting systems for anyone allowed onto the platform.
DOE’s 17 national labs will open their massive scientific datasets and instruments to approved researchers; AI will be used to accelerate simulations by orders of magnitude; and the platform will run across both government supercomputers and private hyperscalers. Companies like Nvidia, Oracle, Dell, AMD, and Hewlett Packard Enterprise are already named as likely infrastructure partners.
Layer in the earlier White House AI commitments where Amazon, Google, Microsoft, Meta, OpenAI, Anthropic, Inflection, Adobe, IBM, Nvidia, Palantir, Salesforce, Cohere, Scale AI, Stability all agreed to safety testing, watermarking, and security protocols and you see the roster of firms whose models and tools are expected to align with Genesis by design.
Put together, you have a tight, government aligned AI ecosystem spanning chips, compute, cloud, models, data, and safety rules.
What This Will Actually Do
My read is that Genesis serves two goals at once. On the surface, it’s about scientific speed, letting AI search vast design spaces, automate experiments, and explore energy, biotech, materials, and semiconductor breakthroughs faster than human run labs ever could. The executive order explicitly compares it to the Manhattan Project and promises “dramatic acceleration” in discovery.
But underneath, it centralizes the AI stack. Instead of letting the highest end compute and model capabilities drift entirely into the private sector, Genesis pulls them back into a structured federal environment. Access becomes conditional: follow the safety rules, share the data, integrate into the platform and you get to operate at the frontier. Don’t, and you’re on the outside looking in.
It also creates a controlled pipeline for national security use cases in public research data, proprietary data for things like semiconductor R&D, and a classified bucket for defense relevant datasets. That segmentation is deliberate.
And at a geopolitical level, it’s a response to China. The EO makes it explicit: this is about maintaining global technological dominance.
My View
Genesis is the beginning of a nationalized AI infrastructure strategy. It will function as the bridge between government compute and private sector models, letting Washington influence which companies sit closest to the frontier and which capabilities get priority. It will speed up real scientific breakthroughs, but it will also quietly define the rules of the AI race on who participates, who gets access, and how the most powerful systems are directed.
It’s not just an acceleration plan. It’s the architecture of AI power in the U.S. for the next decade.
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Offshore
Photo
EndGame Macro
This drawdown chart is essentially Bitcoin’s psychological record. Every cycle carves the same kind of canyon: long periods where price sits forty to eighty percent below the highs, followed by violent recoveries that overshoot in the other direction. Where we are now, down roughly 30% from this cycle’s peak is the kind of mid cycle turbulence that shows up when the broader environment shifts from easy to tightening. The shape of the drop doesn’t tell you everything, but when you set it against what’s happening in the liquidity backdrop, the timing starts to make sense.
The Liquidity Picture Under the Surface
When I talk about liquidity here, I’m not talking about a single metric, it’s the blend of funding conditions across the dollar system. Right now that blend is no longer climbing; it’s flattening and, in some pockets, cracking. You can see it in several places at once. Dealer balance sheets are tightening, which shows up as rising stress in repo markets and unusually large gaps between the overnight risk free rate and the rate at which collateral is actually changing hands. That kind of spread typically widens only when the system starts to run short of high quality collateral or when balance sheet capacity at the major banks is under pressure.
You can see it in short term liquidity nowcasts, which fell sharply in early October and never bounced back. That kind of step down happens when flows from central banks, money funds, and Treasury operations hit the brakes simultaneously. And you can see it in the long arc liquidity cycle itself: the big multi year surge that fueled the 2023–2025 boom has already turned over. Liquidity is still high in absolute terms, but it’s no longer accelerating and markets trade the change, not the level.
At the policy layer, the Fed is in that awkward early easing zone. They’ve cut rates twice, and they’re about to end QT and shift back to reinvesting into T-bills, which helps the front end of the system. But that doesn’t reverse the structural tightening caused by rising refinancing needs, collateral stress, and a global debt load that’s now sitting at levels where rollover risk itself starts to drain liquidity. When liquidity slows while debt continues climbing, financial conditions feel heavier even if headline policy looks supportive.
The Next Six Months
Once you put the Bitcoin chart and the liquidity backdrop together, the next six months split into two clear phases. The first phase is the near term relief window. Ending QT gives markets some breathing space, and the possibility of another small rate cut adds a bit more cushion. In that kind of environment, Bitcoin can absolutely bounce. It wouldn’t be surprising to see it crawl back toward a 100k, maybe even take a quick shot at new highs if traders decide policy is turning faster than conditions are deteriorating.
But the second phase is where the underlying liquidity trend reasserts itself. Slowing liquidity, especially when you can see it in repo stress, tightening collateral, and weakening high frequency liquidity gauges usually creates a drag that builds quietly, then shows up abruptly. When the financial system moves from ample to strained, speculative assets rarely float higher; they get repriced. That’s why the more probable 6 month outcome is not a fresh leg up, but a broader, deeper correction as the cycle grinds forward. It doesn’t have to be a crash. It can unfold as a slow, uneven slide into a 50% drawdown from the peak, the kind of move Bitcoin has produced in every past cycle once liquidity stops expanding and the dollar system shifts into defensive mode.
Bitcoin has room to rally over the next couple of months, but unless liquidity starts expanding again and right now it’s doing the opposite the cycle still leans toward a larger retracement before the next major advance. That’s the rhythm Bitcoin has followed every time liquidity peaks and begins to roll, and today’s setup fits that pattern almost perfectly.
Bitco[...]
This drawdown chart is essentially Bitcoin’s psychological record. Every cycle carves the same kind of canyon: long periods where price sits forty to eighty percent below the highs, followed by violent recoveries that overshoot in the other direction. Where we are now, down roughly 30% from this cycle’s peak is the kind of mid cycle turbulence that shows up when the broader environment shifts from easy to tightening. The shape of the drop doesn’t tell you everything, but when you set it against what’s happening in the liquidity backdrop, the timing starts to make sense.
The Liquidity Picture Under the Surface
When I talk about liquidity here, I’m not talking about a single metric, it’s the blend of funding conditions across the dollar system. Right now that blend is no longer climbing; it’s flattening and, in some pockets, cracking. You can see it in several places at once. Dealer balance sheets are tightening, which shows up as rising stress in repo markets and unusually large gaps between the overnight risk free rate and the rate at which collateral is actually changing hands. That kind of spread typically widens only when the system starts to run short of high quality collateral or when balance sheet capacity at the major banks is under pressure.
You can see it in short term liquidity nowcasts, which fell sharply in early October and never bounced back. That kind of step down happens when flows from central banks, money funds, and Treasury operations hit the brakes simultaneously. And you can see it in the long arc liquidity cycle itself: the big multi year surge that fueled the 2023–2025 boom has already turned over. Liquidity is still high in absolute terms, but it’s no longer accelerating and markets trade the change, not the level.
At the policy layer, the Fed is in that awkward early easing zone. They’ve cut rates twice, and they’re about to end QT and shift back to reinvesting into T-bills, which helps the front end of the system. But that doesn’t reverse the structural tightening caused by rising refinancing needs, collateral stress, and a global debt load that’s now sitting at levels where rollover risk itself starts to drain liquidity. When liquidity slows while debt continues climbing, financial conditions feel heavier even if headline policy looks supportive.
The Next Six Months
Once you put the Bitcoin chart and the liquidity backdrop together, the next six months split into two clear phases. The first phase is the near term relief window. Ending QT gives markets some breathing space, and the possibility of another small rate cut adds a bit more cushion. In that kind of environment, Bitcoin can absolutely bounce. It wouldn’t be surprising to see it crawl back toward a 100k, maybe even take a quick shot at new highs if traders decide policy is turning faster than conditions are deteriorating.
But the second phase is where the underlying liquidity trend reasserts itself. Slowing liquidity, especially when you can see it in repo stress, tightening collateral, and weakening high frequency liquidity gauges usually creates a drag that builds quietly, then shows up abruptly. When the financial system moves from ample to strained, speculative assets rarely float higher; they get repriced. That’s why the more probable 6 month outcome is not a fresh leg up, but a broader, deeper correction as the cycle grinds forward. It doesn’t have to be a crash. It can unfold as a slow, uneven slide into a 50% drawdown from the peak, the kind of move Bitcoin has produced in every past cycle once liquidity stops expanding and the dollar system shifts into defensive mode.
Bitcoin has room to rally over the next couple of months, but unless liquidity starts expanding again and right now it’s doing the opposite the cycle still leans toward a larger retracement before the next major advance. That’s the rhythm Bitcoin has followed every time liquidity peaks and begins to roll, and today’s setup fits that pattern almost perfectly.
Bitco[...]
Offshore
EndGame Macro This drawdown chart is essentially Bitcoin’s psychological record. Every cycle carves the same kind of canyon: long periods where price sits forty to eighty percent below the highs, followed by violent recoveries that overshoot in the other direction.…
in drawdowns https://t.co/qMjDbnuud5 - zerohedge tweet