The ACID Capitalist Podcast
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  • ๐šŒ๐š˜๐š—๐šœ๐šŽ๐š—๐šœ๐šž๐šœ ๐š‘๐šŠ๐š•๐š•๐šž๐šŒ๐š’๐š—๐šŠ๐š๐š’๐š˜๐š—.

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    fourteen basis points. thatโ€™s the kind of move that gets treated like prophecy on financial television, dressed up with solemn voices and โ€œsticky inflationโ€ metaphors. i'm not buying it. from an apocalypse now rant delivered with a traderโ€™s eye, i lay out a brutal macro investing filter: markets donโ€™t move because someone โ€œfigured it outโ€ they move because people act, react, and mis-price risk inside a chaotic system. if you want clarity, you need distance from the noise and a refusal to outsource judgement to institutions that keep revising their story after the fact.

    i dig into the federal reserve meeting, the obsession with decimal points, and why wall street canโ€™t admit when nothing has happened. the ten-year us treasury yield becomes the lie detector. if bonds barely move, the โ€œbigโ€ data is often just theatre designed to keep trading active and fees flowing. we also pick apart inflation data like ppi, not to worship the numbers, but to show how over-zooming turns randomness into false urgency.

    then i take the same lens to china. when industrial production and retail sales are labelled as beats, the narrative machine instantly declares โ€œchina is backโ€. my response is simpler: show me the yield. if chinaโ€™s ten-year yield stays below 2%, the bond market is signalling deflationary drag and fragile confidence, not a clean growth comeback. i close with the real-world stakes of this abstraction and the one takeaway i keep coming back to: watch price, watch behaviour, ignore the rest.

    if this sharpened your thinking, subscribe, share the episode with a friend who loves macro takes, and leave a review. whatโ€™s your personal โ€œtruth testโ€ market price that you trust more than headlines?

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    45 min
  • fiat isn't a failure. it's a weapon. and bitcoin is the shield.

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    ๐šŠ ๐š‘๐šŠ๐š›๐š ๐šŠ๐šœ๐šœ๐šŽ๐š ๐šœ๐š•๐šŠ๐š–๐š–๐šŽ๐š ๐š’๐š—๐š๐š˜ ๐šŠ๐š— ๐šŽ๐š•๐šŠ๐šœ๐š๐š’๐šŒ ๐š ๐š˜๐š›๐š•๐š. ๐š ๐š‘๐šŠ๐š ๐š๐š‘๐šŽ ๐š‘๐šŽ๐š•๐š• ๐š‘๐šŠ๐š™๐š™๐šŽ๐š—๐šœ ๐š—๐šŽ๐šก๐š? ๐š’ ๐š๐š›๐šŠ๐š ๐šข๐š˜๐šž ๐š๐š›๐š˜๐š– ๐š›๐šŠ๐š’๐š—-๐šœ๐š˜๐šŠ๐š”๐šŽ๐š ๐š‹๐š›๐š’๐š๐š’๐šœ๐š‘ ๐š™๐š˜๐šž๐š—๐š ๐š—๐š˜๐š๐šŽ๐šœ ๐š๐š˜ ๐šŠ ๐š๐šž๐š•๐š•-๐š๐š‘๐š›๐š˜๐š๐š๐š•๐šŽ ๐šŠ๐šž๐š๐š’๐š ๐š˜๐š ๐š‹๐š’๐š๐šŒ๐š˜๐š’๐š—'๐šœ ๐š’๐š›๐š˜๐š—๐šŒ๐š•๐šŠ๐š ๐šœ๐š๐š›๐šž๐šŒ๐š๐šž๐š›๐šŽ, ๐š๐š˜๐š•๐š'๐šœ ๐š๐š’๐š–๐šŽ๐š•๐šŽ๐šœ๐šœ ๐š‹๐šŽ๐š—๐šŒ๐š‘๐š–๐šŠ๐š›๐š”, ๐šŠ๐š—๐š ๐š๐š‘๐šŽ ๐š๐š ๐š’๐šœ๐š๐šŽ๐š ๐šŽ๐šŒ๐š˜๐š—๐š˜๐š–๐š’๐šŒ๐šœ ๐š˜๐š ๐šœ๐šŒ๐šŠ๐š›๐šŒ๐š’๐š๐šข ๐š’๐š— ๐šŠ๐š— ๐šŽ๐š›๐šŠ ๐š‘๐šž๐š›๐š๐š•๐š’๐š—๐š ๐š๐š˜๐š ๐šŠ๐š›๐š ๐šŠ๐š‹๐šž๐š—๐š๐šŠ๐š—๐šŒ๐šŽ.ย 

    ๐š’ ๐š”๐š’๐šŒ๐š” ๐š˜๐š๐š ๐š‹๐šข ๐š๐š•๐š’๐š™๐š™๐š’๐š—๐š ๐š๐š’๐šŠ๐š ๐š˜๐š— ๐š’๐š๐šœ ๐š‘๐šŽ๐šŠ๐š: ๐š—๐š˜๐š ๐šœ๐š˜๐š–๐šŽ ๐š–๐š˜๐š›๐šŠ๐š• ๐š๐š•๐š˜๐š™, ๐š‹๐šž๐š ๐šŠ ๐šœ๐š•๐š’๐šŒ๐š” ๐šŠ๐š๐šŠ๐š™๐š๐š’๐šŸ๐šŽ ๐š ๐šŽ๐šŠ๐š™๐š˜๐š— ๐š๐š‘๐šŠ๐š ๐š‘๐šŽ๐š•๐š ๐šœ๐š˜๐šŒ๐š’๐šŽ๐š๐š’๐šŽ๐šœ ๐š๐š˜๐š๐šŽ๐š๐š‘๐šŽ๐š› ๐š๐š‘๐š›๐š˜๐šž๐š๐š‘ ๐š ๐šŽ๐š’๐š–๐šŠ๐š›'๐šœ ๐šŒ๐š‘๐šŠ๐š˜๐šœ, ๐Ÿท๐Ÿฟ๐Ÿธ๐Ÿฟ'๐šœ ๐šŒ๐š›๐šŠ๐šœ๐š‘, ๐Ÿธ๐Ÿถ๐Ÿถ๐Ÿพ'๐šœ ๐š–๐šŽ๐š•๐š๐š๐š˜๐š ๐š—, ๐šŠ๐š—๐š ๐š๐š‘๐šŽ ๐š™๐šŠ๐š—๐š๐šŽ๐š–๐š’๐šŒ'๐šœ ๐š๐šž๐š›๐šข. ๐šŽ๐š•๐šŠ๐šœ๐š๐š’๐šŒ ๐š–๐š˜๐š—๐šŽ๐šข ๐šœ๐š™๐š›๐šŽ๐šŠ๐š๐šœ ๐š๐š‘๐šŽ ๐šœ๐š‘๐š˜๐šŒ๐š”, ๐š‹๐šž๐šข๐šœ ๐š™๐š›๐šŽ๐šŒ๐š’๐š˜๐šž๐šœ ๐š๐š’๐š–๐šŽ, ๐š‹๐šž๐š ๐š‘๐šŠ๐š–๐š–๐šŽ๐š›๐šœ ๐š–๐š’๐šœ๐šŽ๐š›๐šข ๐š๐š˜๐š ๐š— ๐š˜๐š— ๐š๐š‘๐š˜๐šœ๐šŽ ๐š•๐š˜๐šŒ๐š”๐šŽ๐š ๐š˜๐šž๐š ๐š˜๐š ๐šŠ๐šœ๐šœ๐šŽ๐š๐šœ. ๐š‹๐š›๐šž๐š๐šŠ๐š• ๐š’๐š—๐šŽ๐šš๐šž๐šŠ๐š•๐š’๐š๐šข ๐š’๐š— ๐š–๐š˜๐š๐š’๐š˜๐š—.

    ๐š๐š›๐š˜๐š– ๐š๐š‘๐šŽ๐š›๐šŽ, ๐š’ ๐šŒ๐š˜๐š–๐š™๐šŠ๐š›๐šŽ ๐š•๐šŽ๐šŠ๐š”๐š’๐š—๐š ๐šœ๐šŒ๐šŠ๐š›๐šŒ๐š’๐š๐šข ๐šŠ๐š๐šŠ๐š’๐š—๐šœ๐š ๐š๐š‘๐šŽ ๐šž๐š—๐šข๐š’๐šŽ๐š•๐š๐š’๐š—๐š ๐š”๐š’๐š—๐š. ๐š๐š˜๐š•๐š'๐šœ ๐šœ๐šž๐š™๐š™๐š•๐šข ๐šŒ๐š›๐šŽ๐šŽ๐š™๐šœ ๐šž๐š™ ๐š ๐š‘๐šŽ๐š— ๐š™๐š›๐š’๐šŒ๐šŽ๐šœ ๐šœ๐šŒ๐š›๐šŽ๐šŠ๐š– ๐š‘๐š’๐š๐š‘๐šŽ๐š›; ๐š๐šŽ๐š˜๐š•๐š˜๐š๐šข ๐š๐š›๐šŠ๐š๐šœ ๐š’๐š๐šœ ๐š๐šŽ๐šŽ๐š, ๐šŠ๐š—๐š ๐š–๐šŠ๐š›๐š”๐šŽ๐š๐šœ ๐š—๐š˜๐š ๐šŠ๐š•๐š˜๐š—๐š. ๐š‹๐š’๐š๐šŒ๐š˜๐š’๐š—'๐šœ ๐šœ๐šž๐š™๐š™๐š•๐šข? ๐šœ๐š๐š˜๐š—๐šŽ ๐šŒ๐š˜๐š•๐š ๐š’๐š—๐š๐š’๐š๐š๐šŽ๐š›๐šŽ๐š—๐š ๐š๐š˜ ๐š™๐š›๐š’๐šŒ๐šŽ. ๐š’๐šœ๐šœ๐šž๐šŠ๐š—๐šŒ๐šŽ ๐š•๐š˜๐šŒ๐š”๐šŽ๐š, ๐š‘๐šŠ๐š•๐šŸ๐š’๐š—๐š๐šœ ๐š๐š’๐š–๐šŽ๐š ๐š•๐š’๐š”๐šŽ ๐šŒ๐š•๐š˜๐šŒ๐š”๐š ๐š˜๐š›๐š”, ๐š๐šž๐š–๐š™๐š’๐š—๐š ๐šŠ๐š•๐š• ๐š๐š‘๐šŽ ๐šŒ๐š‘๐šŠ๐š˜๐šœ ๐š˜๐š— ๐šŸ๐š˜๐š•๐šŠ๐š๐š’๐š•๐š’๐š๐šข ๐šŠ๐š—๐š ๐š˜๐šž๐š› ๐š๐š›๐šŠ๐š๐š’๐š•๐šŽ ๐š™๐šœ๐šข๐šŒ๐š‘๐šŽ๐šœ. ๐š๐š‘๐šŠ๐š'๐šœ ๐š ๐š‘๐šข ๐š๐š‘๐š˜๐šœ๐šŽ ๐šœ๐šŠ๐šŸ๐šŠ๐š๐šŽ ๐š๐š›๐šŠ๐š ๐š๐š˜๐š ๐š—๐šœ ๐šŠ๐š›๐šŽ ๐šœ๐š๐š›๐šŽ๐šœ๐šœ ๐š๐šŽ๐šœ๐š๐šœ, ๐š—๐š˜๐š ๐š๐šŽ๐šŠ๐š๐š‘ ๐š”๐š—๐šŽ๐š•๐š•๐šœ.

    ๐š’ ๐š™๐š•๐šž๐š—๐š๐šŽ ๐š’๐š—๐š๐š˜ ๐šŒ๐š›๐šข๐š™๐š๐š˜๐š๐š›๐šŠ๐š™๐š‘๐šข. ๐š๐š‘๐šŽ ๐šž๐š•๐š๐š’๐š–๐šŠ๐š๐šŽ ๐š˜๐š ๐š—๐šŽ๐š›๐šœ๐š‘๐š’๐š™ ๐šŸ๐šŠ๐šž๐š•๐š ๐šŠ๐š—๐š ๐šœ๐šš๐šž๐šŠ๐š›๐šŽ ๐š˜๐š๐š ๐šŠ๐š๐šŠ๐š’๐š—๐šœ๐š ๐šš๐šž๐šŠ๐š—๐š๐šž๐š– ๐šŒ๐š˜๐š–๐š™๐šž๐š๐š’๐š—๐š ๐šŠ๐šœ ๐šŠ ๐šœ๐š˜๐šŒ๐š’๐šŽ๐š๐šŠ๐š• ๐š๐šž๐š ๐šŒ๐š‘๐šŽ๐šŒ๐š”, ๐š—๐š˜๐š ๐šœ๐š˜๐š–๐šŽ ๐š‘๐š˜๐š•๐š•๐šข๐š ๐š˜๐š˜๐š ๐šŠ๐š™๐š˜๐šŒ๐šŠ๐š•๐šข๐š™๐šœ๐šŽ. ๐š๐š‘๐šŽ ๐š–๐šŠ๐š๐š‘ ๐šž๐š™๐š๐š›๐šŠ๐š๐šŽ๐šœ ๐šŽ๐šŠ๐šœ๐šข; ๐š๐š‘๐šŽ ๐š›๐šŽ๐šŠ๐š• ๐š๐š›๐šŠ๐š ๐š’๐šœ ๐šŒ๐š˜๐š˜๐š›๐š๐š’๐š—๐šŠ๐š๐š’๐š˜๐š—. ๐š•๐š˜๐šŒ๐š”๐š’๐š—๐š ๐š’๐š— ๐š๐š‘๐š›๐šŽ๐šŠ๐š ๐š–๐š˜๐š๐šŽ๐š•๐šœ, ๐šœ๐š‘๐š’๐š๐š๐š’๐š—๐š ๐š”๐šŽ๐šข๐šœ, ๐š ๐š›๐šŠ๐š—๐š๐š•๐š’๐š—๐š ๐š•๐š˜๐šœ๐š ๐šŒ๐š˜๐š’๐š—๐šœ ๐š ๐š’๐š๐š‘๐š˜๐šž๐š ๐š๐š˜๐š›๐šŒ๐š‘๐š’๐š—๐š ๐š๐š›๐šž๐šœ๐š. ๐šŽ๐š— ๐š›๐š˜๐šž๐š๐šŽ, ๐š’ ๐š๐š’๐šœ๐šœ๐šŽ๐šŒ๐š ๐šœ๐š๐šŠ๐š‹๐š•๐šŽ๐šŒ๐š˜๐š’๐š—๐šœ, ๐š’๐š—๐š๐š•๐šŠ๐š๐š’๐š˜๐š—-๐š‘๐šŽ๐š๐š๐šŽ ๐š–๐šŽ๐šŒ๐š‘๐šŠ๐š—๐š’๐šŒ๐šœ, ๐šŠ๐š—๐š ๐š๐š‘๐šŽ ๐šœ๐š‘๐š’๐š๐š ๐š๐š›๐š˜๐š– ๐š๐šŽ๐šŸ๐š˜๐šž๐š ๐šŒ๐šž๐š•๐š ๐šฃ๐šŽ๐šŠ๐š•๐š˜๐š๐šœ ๐š๐š˜ ๐š›๐šž๐š•๐šŽ-๐š‹๐š˜๐šž๐š—๐š ๐šŒ๐šž๐šœ๐š๐š˜๐š๐š’๐šŠ๐š—๐šœ ๐š›๐šŽ๐š‹๐šŠ๐š•๐šŠ๐š—๐šŒ๐š’๐š—๐š ๐š˜๐š— ๐šŠ๐šž๐š๐š˜๐š™๐š’๐š•๐š˜๐š. ๐š๐š‘๐šŽ ๐š›๐šŽ๐š ๐š๐š‘๐š›๐šŽ๐šŠ๐š?ย 

    ๐š’๐š ๐šข๐š˜๐šž'๐š›๐šŽ ๐š๐šŽ๐šŠ๐š›๐šŽ๐š ๐šž๐š™ ๐š๐š˜ ๐šœ๐š‘๐šŠ๐š๐š๐šŽ๐š› ๐šข๐š˜๐šž๐š› ๐š‘๐šŠ๐š›๐š ๐š–๐š˜๐š—๐šŽ๐šข ๐š๐š˜๐š๐š–๐šŠ, ๐šŸ๐š˜๐š•๐šŠ๐š๐š’๐š•๐š’๐š๐šข ๐šŸ๐š’๐š‹๐šŽ๐šœ, ๐šŠ๐š—๐š ๐š ๐š‘๐šŠ๐š "๐š›๐š’๐šœ๐š”๐š•๐šŽ๐šœ๐šœ" ๐š๐š›๐šž๐š•๐šข ๐š™๐šŠ๐šŒ๐š”๐šœ, ๐š‘๐š’๐š ๐š™๐š•๐šŠ๐šข. ๐š๐š‘๐šŽ๐š— ๐šœ๐šž๐š‹๐šœ๐šŒ๐š›๐š’๐š‹๐šŽ, ๐š‹๐š•๐šŠ๐šœ๐š ๐š’๐š ๐š๐š˜ ๐šŠ ๐š‹๐šž๐š๐š๐šข ๐šŒ๐š˜๐š—๐šŸ๐š’๐š—๐šŒ๐šŽ๐š ๐š๐š˜๐š•๐š'๐šœ ๐š๐š‘๐šŽ ๐šŽ๐š—๐š๐š๐šŠ๐š–๐šŽ, ๐šŠ๐š—๐š ๐š๐š›๐š˜๐š™ ๐šŠ ๐š›๐šŽ๐šŸ๐š’๐šŽ๐š  ๐šœ๐š™๐š’๐š•๐š•๐š’๐š—๐š: ๐š’๐šœ ๐š๐š‘๐šŽ ๐š๐š›๐šž๐šŽ ๐š›๐š’๐šœ๐š” ๐š’๐š— ๐š๐š‘๐šŽ ๐šŒ๐š˜๐š๐šŽ-๐š˜๐š› ๐š’๐š— ๐š˜๐šž๐š› ๐š๐šŠ๐š–๐š— ๐šœ๐šŽ๐š•๐šŸ๐šŽ๐šœ?

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    1 hr 55 min
  • 10x ส€ษชแด„สœแด‡ส€ แดส€ แด…แด‡แด€แด… โ˜ ๏ธ

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    A market story is only as good as the portfolio that can survive it. Hugh Hendry sat down in London to explore risk from first principles. Why playful, curious, even mischievous thinking can beat credentialed certainty, and how to build an allocation that thrives whether AI delivers a productivity superโ€‘cycle or ushers in painful dislocation. The conversation tugs at the great plaster on the body politic : consumer sentiment scraping historic lows while prosperity narratives soar.

    Hugh breaks the problem into a simple, repeatable framework: four macro quadrants: dollar cash serving both as collateral and yield, broad tech equities for growth, longโ€‘duration bonds for rare mean reversion hedge, and alternatives, including gold, private assets, property, and crypto for convexity.ย 

    He explains how the bond marketโ€™s shock: long dated Treasuries halving as banks shorted futures to hedge mortgage books in the 2020-22 era, created a onceโ€‘inโ€‘aโ€‘generation possible profit setup if rates drop and American households refinance en masse.ย 

    A path where a misread neutral Fed policy rate and a frozen refinancing market could flip the script, reopen housing, and make outโ€‘ofโ€‘consensus rate bets extraordinarily lucrative. The lesson isnโ€™t to idolise a forecast; itโ€™s to price the consequences and size for survival and profit.

    He also gets specific on price compression: why multiโ€‘decade ceilings matter more than pundit stories, how the Nasdaqโ€™s breakout unlocked a fivefold run, and where similar patterns may be brewing in silver and Japan. If youโ€™ve wondered how to stay invested without becoming a hostage to the latest narrative, this is a clear playbook: preโ€‘commit your belief, rightโ€‘size your risk, and use the marketโ€™s own footprints to time your aggression.

    If this conversation sharpened your thinking, follow the show, share it with a friend who obsesses over macro, and leave a quick review to help more curious investors find us.

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    37 min
  • What If Markets Reward Vision More Than Math?

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    A faster lap by going blind sounds reckless until you hear Lando Norris say he drives better with the delta display switched off. Thatโ€™s the spark for a bigger idea we explore: acid capitalism, where imagination and shared beliefs move markets more than the neatest spreadsheet ever can.

    We start with the critique that more frequent shows dilute intrigue and use it to sharpen the mission: reduce noise, focus on decision design. From there we test how narrative beats decimals in places you wouldnโ€™t expect. An F1 franchise marked at six billion becomes a case study in brand economics. Nvidia stops looking like โ€œjust chipsโ€ and reveals its platform moat through CUDA and TSMCโ€™s world-class execution, while hyperscalers quietly stretch asset lives to boost reported earnings. Teslaโ€™s 20-quarter coil is not dead money; itโ€™s stored energy that can compress a future rerate positive or cataclysmic into a single year. Meanwhile, Chinaโ€™s 10-year yield hovering below 2 percent acts as a simple, powerful tell for local equities.

    We also dig into mispriced complexity. Spirits makers face a brutal cobweb: whiskey needs a decade, tequila seven years, and changing demand punishes inventory mistakes for an age. Thatโ€™s why Diageo and peers trade near decade lows; not because the category is broken, but because time is. Pain today sets up tomorrowโ€™s scarcity. We map one pragmatic approach: harvest option income against depressed, range-bound leaders to grind down cost basis while you wait for pricing power to return.

    Along the way, we examine Bitcoin vs MicroStrategy premiums, joke about longevity supplements, and acknowledge the temptation to obsess over every decimal point. The takeaway is consistent: decide what to ignore. Turn off the dashboard that steals your attention, then do the simple, hard work and respect cash over optics, find moats that scale, and back visions that mobilise real capital.

    Enjoyed the ride? Follow, share with a friend who loves markets with edge, and leave a review telling us what youโ€™d switch off to see better.

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    1 hr 16 min
  • What if AI cuts jobs faster than rates can fall?

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    Markets have a habit of choosing the path that hurts the most people, and this week they proved it. We open with a jolt: CarMax plunges 24%, the CEO is shown the door, and usedโ€‘car demand looks like a classic pullโ€‘forward that left a hole in todayโ€™s sales. From there, we follow the thread across the macro tapestry: consumer sentiment hovering near crisis lows, layoffs announced at a pace that clashes with payroll prints, and a tech slide that turns โ€œAI capexโ€ from dream to doubt in a heartbeat.

    I break down how cobweb dynamics and inventory timing errors ripple from toothpaste to autos, why tariffs distorted the clock on purchases, and where the data is more theatre than truth. Chinaโ€™s export picture adds another twist: a bilateral surplus that widens even as shipments to the US shrink, exposing the difference between volume and value in a tariff world. We dig into the money plumbing too, because itโ€™s no longer just M2. Offshore dollar creation rides on the collateral of investment portfolios, trade invoices, rehypothecated claims that shape and form money in ways the Fed doesnโ€™t fully map.

    For investors, the practical edge is structure and levels. Options now mediate the marketโ€™s mood, turning volatility into potential income when used with care. Covered calls on quality after big drops can pay you to wait, but path risk matters. We map Metaโ€™s gap fill and key Fibonacci retracements, and consider Oracleโ€™s roundโ€‘trip as a reminder that narratives can outrun cash flows. The stance is clear: acknowledge the pullback, respect the signs of strain, and build selective shopping lists rather than chasing every bounce. Let the market pay you for patience, and let price confirm when the turn is real.

    If this breakdown helps you navigate the noise, follow the show, share it with a friend who trades the headlines, and leave a quick review. Tell me what level youโ€™re watching next. Iโ€™ll bring the charts.

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    1 hr 2 min
  • Is the Market Running Out of Money?

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    What if the cleanest read on market risk isnโ€™t a sentiment index but the dollar itself? We connect the dots from DXYโ€™s slide and rebound to the invisible gears of Eurodollar credit, showing how collateral breathes through trade invoices, repos, and leverage, and how that breath has begun to shorten. From port softness and a reported 17% drop in trucking volumes to tighter haircuts and slower factoring, we map the quiet contraction that can force risk assets to pay a toll in the form of sharp pullbacks.

    We dig into why professionals rarely short memeโ€‘charged leaders like Palantir even when valuations look unhinged, and how the โ€œmaliciousโ€ habit of strong markets is to snap back toward the oneโ€‘year moving average before pushing higher. Along the way, we revisit the Supreme Courtโ€™s tariff signals, the politics of New Yorkโ€™s vote, and the way those headlines filter into liquidity creation via trade flows. On jobs, we unpack an ADP beat that hides softness in information and professional services while healthcare and utilities carry the print, and we talk frankly about how AI threatens a quarter of tasks, particularly in admin and legal support.

    Finally, we ask a contrarian question: is Apple right to avoid an AI capex arms race? Preserving balance sheet flexibility might be the smarter bet if weโ€™re edging toward a collateral recession where financing gets stingier and optionality becomes a moat. Expect volatility, not apocalypse; respect the cadence of liquidity; and plan for violent, normal pullbacks within long trends. If this perspective challenges how you track markets, follow, share with a friend, and leave a quick review. Whatโ€™s your top stress indicator right now?

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    1 hr 22 min
  • A One-in-a-Thousand Market Moment

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    When logic fails, hedges break, and the models panic.

    Markets rarely behave. In this episode, Hugh Hendry unpacks why.ย 

    Exploring what happens when models flash red and logic collapses in real time. From George Gammonโ€™s CarMax hedge to the intricacies of dating, calculating sexual market value and the Fedโ€™s confused dance with Treasury policy, Hugh dissects how a โ€œZ-score of 3โ€ moment becomes a one-in-a-thousand event that reshapes portfolios.

    He links collapsing used-car stocks to compressed thirty year immigration trends, digs into the stealth recession in U.S. housing, and considers how risk managers unknowingly amplify panic by reducing exposure. Along the way he spotlights Martin Marietta, BioNTechโ€™s AI ambitions, and why the next big opportunity may lie inside Americaโ€™s housing-linked equities.

    This is a raw, late-night macro sermon from St Barts: part reflection, part market therapy. Traders and macro mavens will find insight in Hughโ€™s irreverent exploration of fear, liquidity, and conviction.

    Support the show

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    1 hr 17 min
  • What If Government Debt Isnโ€™t Debt at All?

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    The Ricardian Equivalence, Treasury Debt, and the Modernity of Money

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    1 hr 10 min
  • Do Deficits Make You Rich?

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    Do Deficits Make You Rich?

    The uncomfortable truth: fiscal stimulus creates wealth, not consumer inflation.

    Sat pondering in a Caribbean bar, thinking about intelligence, the Fed, deficits, and why inflation lives in Wall Street not in your supermarket basket. When the government runs a deficit, it injects reserves into the system, an automatic overdraft with the banking system. Later it issues Treasuries that drain those reserves. Economists call it a swap. Net financial wealth in the private sector rises because no one in the private sector owes that shortfall. The government owes it. Not another private entity.

    So does government spending make you rich? Deficits donโ€™t spill into the supermarket, they seep into the trading book. Treasuries move through repo markets, pledged and rehypothecated, transformed into money-like instruments that lubricate leverage. CPI stays calm while portfolios swell. Fiscal deficits expand collateral, leverage builds, and asset prices rise. The inflation we should fear isnโ€™t at the checkout counter. Itโ€™s in the mirror of prudence we call Wall Street.

    Support the show

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    1 hr 32 min
  • When America Pretends to Be Reckless

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    In this acid breath of mine, I drift between the sublime and the sardonic.ย 

    I trace how America, once the debtor, became the empire, how quantitative easing rewired the flow of wealth from the cautious creditor to the restless entrepreneur.ย 

    China hoarded savings, America dis-saved, and the machine rolled on until anย  American administration was bold enough to call time. Gold gleams like a reflexive meme, Bitcoin hums like a ghost in the circuitry, but US equities might just scream louder toward 10,000 on liquidity fumes.ย 

    Tariffs, deficits, and Fed theatrics are the new imperial tributes. Maybe the real story is that America, by pretending to be reckless, keeps proving itโ€™s the only grown-up in the room.


    Support the show

    โฌ‡๏ธ Subscribe on Patreon or Substack for full episodesย  โฌ‡๏ธ

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    55 min

About The ACID Capitalist Podcast

From the publisher's feed

Gonzo Finance!

Hugh Hendry is an Award Winning Hedge Fund Manager, Market Commentator, Thought Leader, St Barts Real Estate Investor & Surfer.


Full episodes are available atโ€ฆ

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