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Greed and Fear—How To Avoid The Whiplash and Sleep At Night
MacroMashup Newsletter

Greed and Fear—How To Avoid The Whiplash and Sleep At Night

Treat those two imposters just the same

Jun 6, 2025
Neil Winward

Author:

Neil Winward

|

Founder and CEO

of

Dakota Ridge Capital

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    Greed and Fear—How To Avoid The Whiplash and Sleep At Night
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    Markets in the Mirror: When Sentiment, Policy, and Data Collide

    The past two months delivered a masterclass in market psychology.

    April gave us panic.

    May gave us euphoria.

    Neither was tethered to fundamentals.

    From algorithmic stampedes to political noise fatigue, investors are relearning the painful truth: narrative is not data. Here’s what really moved markets—and what you can learn from the misfires.

    Greed vs. Fear: A 67-Point Mood Swing

    In just six weeks, the CNN Fear & Greed Index swung from 4 (Extreme Fear) to 71 (Greed).

    That 67-point lurch was more violent than anything we saw during the 2022 bear market.

    • April: Tariff shocks and a Moody’s downgrade spooked markets. The S&P 500 fell to 4,160, wiping out $9 trillion in equity value.
    • May: Dip buyers and institutional flows stepped in. The S&P rallied 17% off the lows, adding $400B in market cap per day.
    • Even Bitcoin wasn’t immune—its Fear & Greed Index surged from 10 to 66.

    Lesson: When sentiment hits extremes, it’s often a signal to do the opposite.

    April’s fear was a contrarian buy.

    May’s greed may be an early warning.

    Trump’s Tariff Theater: The T.A.C.O. Pattern

    T.A.C.O. = Trump Always Chickens Out

    That’s how Barclays now labels Trump’s recurring trade threats: high on volume, soft on follow-through.

    Markets are adapting:

    • Tariff noise rattles soft data (like sentiment surveys), but barely touches hard data (earnings, rates, trade flows).
    • The VIX barely flinched in May. Wall Street seems to view Trump’s bluster as theater, not policy.

    Takeaway: Investors may be desensitized to political shocks—a risky complacency if a real crisis breaks through.

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    Dalio’s Crisis of Credibility

    Dalio’s Crisis of Credibility

    Ray Dalio warned in May of an “imminent financial crisis.”

    Reality had other plans:

    • The S&P rose 6.2%.
    • Bitcoin rallied 14%.
    • Corporate earnings climbed 8% YoY.
    • U.S. tax receipts hit a record $4.9T (FY 2025).

    Not the first time:

    • In 1981, Dalio predicted a depression. A bull market followed.
    • Between 2023–2025, while warning of collapse, the S&P returned 34%.

    Key Miss: Dalio’s models overweight debt and geopolitics—but underestimate resilient fundamentals like earnings, cash flow, and innovation.

    Even legends can lag reality. Don’t outsource your thinking to macro celebrities.

    Bifurcated Markets: Institutions vs. Headlines

    We’re in a two-track market:

    • Institutions are trading on yields, cash flow, and volumes.
    • Retail investors are reacting to headlines and vibes.

    Opportunity lives in the gap.

    Those who can tell signal from noise—win.

    3 Principles for Market Sanity

    1. Sentiment is cyclical

     • Use extremes in fear/greed as contrarian indicators—not confirmation.

    2. Political noise fades
     • Earnings and interest rates outlast soundbites.

    3. Data > Gurus
     • Build a system based on signals—not talking heads.

    AI Is Quietly Rewriting Strategy—Far Beyond Search

    Forget chatbots. AI’s real revolution is reshaping business, medicine, and media behind the scenes.

    1. AI-Powered Business Strategy

    Upload customer data + value props → Get instant go-to-market plans, pitch decks, and brand strategy.

    2. Diagnostics Without Waiting Rooms

    • Spectral AI’s DeepView diagnoses burn wounds with 95%+ accuracy.
    • AI tools now review labs, symptoms, and history—no co-pay, no waiting.
    • AlphaSense automates medical research at enterprise scale.

    3. Earnings Call Disruption

    • Zoom and Klarna used AI avatars in investor calls.
    • AI highlights facts, strips fluff, and flags evasive statements.

    4. Automated Podcasting at Scale

    • Tools like Jellypod can clone your voice, convert articles to episodes, and publish—no mic needed.

    5. The Human-AI Imperative

    • Interpret: AI finds patterns. You apply meaning.
    • Audit: AI has blind spots. You provide context.
    • Leverage: Scale thought leadership, don’t outsource it.

    Charts/In the Markets

    Silver: a hot week relative to its big brother, gold

    • Silver bugs have been calling for a breakout for…a decade.
    • It broke $35/oz - next stop $50.

    Watch Relative Value—Focus on The Ratios

    • USD crushed by gold—last 5 years.
    • USD crushed by Bitcoin—last 5 years

    • Divide one asset priced in USD.
    • By another asset priced in USD.
    • Takes the depreciating USD out of the equation.
    • Leaves just relative strength.

    What’s Next/What To Watch

    • Check out Jim Bianco on the consistently excellent Forward Guidance podcast discussing how 5% 10-year rates will become the new floor.
    • For a check-in with Freedom Caucus member Senator Ron Johnson, watch the boys at All-In figure out the Senate fate of One Big Beautiful Bill.
    • Don’t forget to compare the Non-Farm Payrolls this Friday, June 6th—consensus 125,000—130,000 with April’s 177,000. If the NFP number undershoots, the markets will likely trade up on the expectation that the Fed is more likely to ease, and vice versa.
    • And, get some popcorn and watch the Trump/Musk relationship meltdown on X—with the Tesla share price…

    Enjoyed this newsletter? Get Involved.

    • Subscribe to MacroMashup: one email a week, zero noise.
    • Book a call with Dakota Ridge Capital if you’re investing in clean energy or want to optimize for tax strategy
    • Watch us on YouTube, or tune in via Spotify / Apple
    • Collaborate with us at contact@macromashup.com
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      Neil Winward

      Neil Winward is the founding partner of Dakota Ridge Captial, helping investors, developers, banks, non-profits, and family offices unlock massive tax savings - on average of 7%- 10% - via clean energy investments by fully leveraging U.S. government incentives such the Inflation Reduction Act.

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      READY TO TAKE ACTION ON YOUR ENERGY PROJECT? BOOK A COMPLIMENTARY, ZERO-OBLIGATION CONSULTATION TO SEE HOW WE CAN HELP YOU.

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      The Queue: Where AI’s Grid Constraint Gets Real
      MacroMashup Newsletter
      3

      The Queue: Where AI’s Grid Constraint Gets Real

      Neil Winward

      This week’s MacroMashup deep dive examines one of the least discussed datasets in macro markets: The US interconnection queue. More than 2,300 gigawatts of power generation are currently waiting to connect to the grid.

      MacroMashup Research Summary

      Core Thesis

      Markets are obsessed with AI chips.

      But the real constraint may be electricity.

      The US interconnection queue has become the chokepoint of American electricity expansion. Roughly 2,300 gigawatts of generation capacity are currently waiting to connect to a grid that operates at about 1,200 gigawatts today.

      Why It Matters

      AI infrastructure, electrification, and energy transition all depend on grid access. Interconnection delays now stretch three to six years in several regions, creating the first major bottleneck in the next wave of electricity demand.

      Key Data

      • 2,300 GW waiting in US interconnection queues. These projects include solar, wind, battery storage, natural gas, and other generation technologies.

      • Only ~13% of projects entering the queue ultimately complete

      • Median wait times approaching five years in several regions

      • Demand pressure ratios exceeding 5× in ERCOT

      Market Signals

      The queue is becoming a leading indicator for:

      • electricity price pressure

      • utility capex cycles

      • natural gas demand

      • regional AI infrastructure migration

      AI models scale at software speed.

      Electricity infrastructure expands at infrastructure speed.

      The Signal

      This Week’s Dashboard

      It’s all about the barrel.

      Oil dominated nearly every signal this week. Brent crude rallied from roughly $82 to $88, while WTI followed closely, settling near $85. The Strait of Hormuz remains the transmission mechanism: tanker transits have collapsed from roughly 24 per day to single digits since the conflict began, and every headline about the Strait is now moving assets across the macro dashboard.

      Gold was caught in the crossfire. When oil spikes, the dollar typically strengthens on safe-haven flows and higher yields raise the opportunity cost of holding non-yielding assets. Gold sold off from its late-February highs before stabilizing this week as the dollar softened again. Central bank buying remains the structural floor, but in the short term the dollar and the 10-year yield are driving the tape.

      The information war intensified as well. President Trump posted that the conflict was “very complete, pretty much.” Netanyahu responded with a new wave of strikes on Tehran. Iran apologized to the UAE after collateral damage from retaliatory drone strikes — and then continued launching them.

      At one point the White House deleted a social media post claiming the US Navy had escorted a tanker through the Strait of Hormuz after confirming no such escort had occurred. Oil briefly dropped on the headline before rebounding.

      Meanwhile the IEA proposed the largest strategic petroleum reserve release in its history. Pipeline alternatives are suddenly receiving attention, and the market is attempting to price the difference between a four-week war and a four-month one — a distinction worth tens of dollars per barrel.

      Equities barely reacted. The S&P finished the week essentially flat at ~6,781. Credit spreads widened modestly but remain far from pricing sustained economic damage.

      Either the market is right.

      Or it hasn’t caught up yet.

      But the most important constraint shaping the next phase of this cycle may not be geopolitical.

      It may be structural.

      Because the next phase of the global economy will run on electricity.

      The Real Constraint Behind the AI Boom

      Last week we introduced the idea that AI’s real constraint may not be software.

      It may be electricity.

      This intersection between AI infrastructure and electricity systems is becoming one of the most important macro stories of the next decade.

      are launching AI Grid Report, a new research publication focused on the intersection of AI infrastructure, electricity systems, and energy markets.

      The first issues will examine how the global AI buildout could reshape electricity demand, natural gas markets, and power infrastructure investment.

      If you’re interested in how the power grid may shape the next phase of the AI economy, you can preview the project here:

      https://open.substack.com/pub/theaigridreport

      The first issues will be launching soon.

      🔒 Deep Dive for Members

      Read More
      From Hormuz to the Grid: The Chokepoints That Matter
      MacroMashup Newsletter
      3

      From Hormuz to the Grid: The Chokepoints That Matter

      Neil Winward

      Markets are modeling AI disruption at software speed. But electricity infrastructure may determine how fast the real economy can absorb it.

      Welcome to MacroMashup. We focus on constraints, not forecasts. Market structure, not vibes. Capital flows, leverage, and incentives—where things actually break.

      The week’s dominant story is geopolitical.

      U.S.–Israeli strikes on Iran. Retaliation spreading across the region. The Strait of Hormuz effectively closed. Markets scrambling to price the energy shock.

      But beneath the geopolitical noise, another question is taking shape as Anthropic and OpenAI wrestle with the Department of War over the role AI will play.

      The question is not whether AI can transform the economy and the battlefield—it already has— but how fast.

      Because AI runs on compute. And compute runs on power.

      The constraint shaping the next phase of the AI cycle may not be technological progress.

      It may be the infrastructure required to supply electricity fast enough.

      In this week’s MacroMashup deep dive, we examine:

      • why AI adoption may move at infrastructure speed rather than software speed

      • how grid constraints could shape the timeline of economic disruption

      • why energy infrastructure may become the leverage point of the AI economy

      A look at this week’s dashboard tells the story of which chokepoint is throttling harder.

      If you want to understand the structural constraints shaping global markets, join the MacroMashup community.

      Subscribe for weekly briefings examining the forces behind the next economic cycle.

      Read More
      When the Price Mechanism Breaks: What the Simon–Ehrlich Bet Gets Wrong About AI
      MacroMashup Newsletter
      3

      When the Price Mechanism Breaks: What the Simon–Ehrlich Bet Gets Wrong About AI

      Neil Winward

      Why capital misprices time-based energy constraints in the age of exponential compute.

      In 1980, Julian Simon made one of the most famous bets in economic history.

      He bet that human ingenuity would defeat scarcity.

      Paul Ehrlich bet the opposite.

      Simon won.

      Commodity prices fell.

      Technology advanced.

      Supply responded.

      The lesson became doctrine:

      When prices rise, markets fix shortages.

      That belief now underpins trillions of dollars in capital allocation.

      It also underpins the AI boom.

      But here’s the question investors are not asking:

      What happens when prices can’t fix the bottleneck?

      This week, we’re not debating AI.

      We’re not debating energy transition.

      We’re not debating scarcity narratives.

      We’re examining something deeper:

      When does the price mechanism stop working — and what does that mean for portfolio construction?

      Inside this issue:

      • Where Simon still works
      • Where the mechanism slows
      • Where it structurally fails
      • And how to allocate when constraint becomes time-based, not price-based

      Because in 2026, the edge is not identifying demand.

      It’s identifying where capital hits physical delay.

      Continue reading for the full allocator framework.

      Read More
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