The Macro Dashboard

The Macro Dashboard | Public Macro Signals

Mon, 01 Jun 2026 19:35:31 GMT

Track public-data macro signals for portfolio allocation and Gavekal-style regime analysis in one dashboard.

Start Here | The Macro Dashboard

Mon, 01 Jun 2026 19:35:31 GMT

Learn how The Macro Dashboard uses a 60/30/10 base portfolio, top-down market regimes, and VAMS trend signals to manage portfolio risk.

View Start Here on The Macro Dashboard.

Portfolio Signals | The Macro Dashboard

Mon, 01 Jun 2026 19:35:31 GMT

Review dynamic portfolio allocation signals built from public market momentum, growth, inflation, liquidity, and risk-regime data.

View Portfolio on The Macro Dashboard.

Gavekal Regime | The Macro Dashboard

Mon, 01 Jun 2026 19:35:31 GMT

Explore a public-data Gavekal-style regime map using growth and inflation proxy ratios to classify the current market quadrant.

View Gavekal Regime on The Macro Dashboard.

Follow and Data | The Macro Dashboard

Mon, 01 Jun 2026 19:35:31 GMT

Follow The Macro Dashboard on Nostr and use public JSON endpoints for apps, notebooks, dashboards, alerts, and automation.

View Follow on The Macro Dashboard.

Macro Dashboard Field Notes | The Macro Dashboard

Mon, 01 Jun 2026 19:35:31 GMT

Focused weekly field notes for subscribers on risk exposure, cash, market cycles, dollar liquidity, and bitcoin.

View Macro Dashboard Field Notes on The Macro Dashboard.

Editorial Policy | The Macro Dashboard

Mon, 01 Jun 2026 19:35:31 GMT

The Macro Dashboard editorial policy for public-data investing education, AI-assisted content, sourcing, corrections, and financial-advice boundaries.

View Editorial Policy on The Macro Dashboard.

How to Read the Portfolio Signal

Mon, 01 Jun 2026 19:35:31 GMT

The portfolio signal is meant to answer one practical question: how much of the model risk budget is currently being used? It is not a command to copy every trade. It is a clear read on whether the evidence supports full exposure, partial exposure, or more cash.

The portfolio signal is not trying to answer every investor question. It answers a narrower one: how much of the model risk budget is currently being used?

That distinction matters. The dashboard may show 60% stocks, 0% gold, 0% bitcoin, and 40% cash. That does not mean every reader should own that exact mix. It means the model is spending all of the stock sleeve, none of the gold or bitcoin sleeve, and leaving the unused exposure in cash.

The SEC's guide to asset allocation and rebalancing is a good baseline because it keeps the conversation grounded. Allocation is a process. Rebalancing is a process. The dashboard is an input into that process, not a substitute for knowing your own tax situation, account type, or spending needs.

Actual weights are easy to understand. Percent of maximum exposure is more useful for adapting the signal.

The base portfolio uses maximum sleeves of 60% stocks, 30% gold, and 10% bitcoin. If stocks show 50% of maximum exposure, that means the model wants half of the stock sleeve. In the base portfolio, that would be 30% stocks.

This lets a reader with a different base allocation scale the signal without copying the model dollar for dollar. If your personal plan allows 40% stocks instead of 60%, then 50% of max exposure points to 20% stocks, not 30%.

Charts

Three numbers to read first
A simple reading process

Read the field note on The Macro Dashboard.

Use The Macro Dashboard Data in Your Own Planning Tools

Mon, 01 Jun 2026 19:35:31 GMT

The dashboard is more useful when it can leave the website. A subscriber can pull the public JSON into a spreadsheet, a local dashboard, an AI planning prompt, or a private portfolio workflow, then use the signal as one input instead of treating it as a command.

The website is the easiest way to read The Macro Dashboard. It is not the only way to use it.

The short answer is: pull the public JSON into the tool where you already make decisions. That might be a Google Sheet, a local dashboard, a notebook, a private planning app, or an AI retirement-planning prompt. The dashboard supplies the current risk signal. Your tool supplies the personal context.

That distinction matters. A model allocation is not the same thing as your allocation. Your tax basis, account types, spending needs, retirement date, and trade rules still matter.

For most personal tools, start with the compact Portfolio endpoint:

```text https://themacrodashboard.com/data/current-kiss.json ```

That file includes the current market regime, risk bias, GRID regime, liquidity signal, and allocation rows. Each allocation row includes the asset, symbol, actual model weight, percent of maximum exposure, and VAMS state.

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What to pull into your tool
Data to decision path

Read the field note on The Macro Dashboard.

The Difference Between a Signal and a Forecast

Mon, 01 Jun 2026 19:35:31 GMT

A forecast says what should happen next. A signal says what the current evidence supports. That may sound like a small distinction, but it changes how subscribers should judge every dashboard move.

A forecast says what should happen next. A signal says what the current evidence supports.

That distinction is the difference between using the dashboard well and getting frustrated by it. A signal can reduce exposure before the market falls. It can add exposure before the economic data looks good. It can also be early or wrong for a while.

The point is not to know the next tick. The point is to keep exposure matched to the quality of the evidence.

Howard Marks makes this kind of distinction in The Most Important Thing: the future is uncertain, but risk can still be judged. The dashboard is trying to judge risk, not eliminate uncertainty.

Every risk process has moments that look wrong.

If the dashboard cuts exposure and the market keeps rising, the immediate temptation is to call the signal a failure. Sometimes that will be fair. Sometimes the evidence weakened and the market simply kept climbing on narrower support.

Charts

Signal versus forecast
How a signal becomes an allocation

Read the field note on The Macro Dashboard.

The Dollar Is the World's Margin Call

Mon, 01 Jun 2026 19:35:31 GMT

A stronger dollar can act like a global margin call because so much trade, debt, collateral, and funding is linked to dollars. When the dollar rises quickly, balance sheets outside the U.S. often have to adjust.

Most currencies matter most at home. The dollar matters almost everywhere.

It is used in global trade, offshore borrowing, reserves, collateral, and cross-border balance sheets. That makes dollar strength more than a foreign-exchange move. It can tighten conditions for borrowers that earn local currency but owe dollars, for investors that fund positions through dollar markets, and for countries importing commodities priced in dollars.

Hyun Song Shin explained this on Odd Lots, and his BIS speech on a dollar shock and commodity shock is the more technical version.

This is why the dollar can act like the world's margin call. When it rises quickly, someone has to find more dollars. That need can force selling in places that did not look connected to the original currency move.

The Macro Dashboard does not need a dollar forecast. It needs to know whether dollar pressure is helping or hurting risk appetite.

A rising dollar can be a headwind for global equities, commodities, bitcoin, and emerging markets because it pulls liquidity toward the safest dollar-rich balance sheets. A falling dollar can do the opposite, especially when it arrives with easier rates or improving credit.

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The Dollar Squeeze Transmission Chain
Who Feels A Dollar Squeeze First?

Read the field note on The Macro Dashboard.

Gold, Bitcoin, and the Dollar Liquidity Cycle

Mon, 01 Jun 2026 19:35:31 GMT

Gold and bitcoin are often grouped together because both are monetary assets that exist outside the liabilities of governments and banks.

Gold and bitcoin both sit outside the normal bank-deposit story. That is why investors often group them together.

The grouping is useful, but only up to a point. Gold is a deep, old reserve asset. Bitcoin is a younger monetary network with much higher volatility. They can both benefit when confidence in fiat money or the banking system weakens, but they do not respond to every liquidity shock the same way.

The better starting point is the dollar liquidity cycle. The BIS global liquidity indicators track cross-border dollar credit because dollar funding still matters far beyond the United States. When dollar liquidity is easy, speculative assets usually breathe better. When dollar liquidity tightens, the market starts asking who needs dollars and what they will sell to get them.

Gold often attracts capital when investors want an asset without credit risk. It can do well when real yields fall, when central banks diversify reserves, or when confidence in policy weakens.

That does not make gold simple. Gold can fall when real yields rise. It can lag during equity melt-ups. It can be boring for long stretches. But it has one useful feature for a portfolio process: it does not need the same kind of speculative liquidity that bitcoin usually needs.

That difference matters in a dollar squeeze. If investors are selling liquid risk assets to raise cash, gold may hold up better than bitcoin. Not always. But often enough that the dashboard should not treat them as interchangeable.

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Gold And Bitcoin Across Dollar Regimes
Different Monetary Assets, Different Risk

Read the field note on The Macro Dashboard.

Why the Dashboard Can Reduce Risk While the Market Is Still Going Up

Mon, 01 Jun 2026 19:35:31 GMT

The awkward part of rules-based risk management is that it can look wrong before it looks useful. A dashboard can reduce risk while the index is still near a high because price is only one input. Breadth, liquidity, credit, the dollar, and asset-level momentum can weaken before the headline market admits anything is wrong.

A risk cut can feel unnecessary when the market is still rising. The account balance is going up, the headlines are calm, and the trend still looks fine.

The problem is that index performance can hide a lot. A few large stocks can carry the headline while breadth weakens underneath. Goldman Sachs has written about S&P 500 concentration, and Goldman Sachs Asset Management has a useful follow-up on why narrow leadership changes portfolio risk.

The dashboard is not trying to call the exact top. It is trying to avoid a specific failure mode: staying fully exposed after the evidence shifts from broad confirmation to narrow, fragile leadership.

Reducing risk is not the same as predicting a crash. It is deciding that the portfolio should spend less of its risk budget until the evidence improves.

That distinction matters. A forecast asks, "What will the market do next?" A risk-budget process asks, "How much exposure is justified by the evidence we have now?"

Sometimes the dashboard will cut risk and the market will keep going up. That is not automatically a failure. The cost of risk management is occasionally looking too cautious. The benefit is avoiding the moments when a fragile market finally admits it was fragile.

Charts

A Rally Can Get Narrow Before It Breaks
How To Read A Risk Cut

Read the field note on The Macro Dashboard.

How to Scale the Dashboard Percent of Maximum Exposure

Mon, 01 Jun 2026 19:35:31 GMT

The dashboard reports actual model weights, but the more portable number is percent of maximum exposure. That number lets a subscriber apply the signal to a different base allocation without pretending everyone has the same portfolio.

The dashboard's actual weights are built around a base portfolio: 60% stocks, 30% gold, and 10% bitcoin. That is useful as a model, but it will not match every reader.

Percent of maximum exposure is the more portable number. It tells you how much of each sleeve the evidence supports.

If the dashboard says stocks are at 50% of maximum exposure, the model is using half of the stock risk budget. In the base portfolio, half of 60% is 30%. For an investor whose personal stock maximum is 40%, the same signal would point to 20%.

That is the whole idea. The dashboard supplies the signal. Your plan supplies the maximum sleeve.

The formula is boring, which is good.

Personal target weight = personal maximum sleeve x dashboard percent of maximum exposure.

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Scaling percent of max exposure
The scaling formula

Read the field note on The Macro Dashboard.

Energy Is Still the Macro Variable Investors Want to Ignore

Mon, 01 Jun 2026 19:35:31 GMT

Energy is easy to ignore when prices are calm. Then oil spikes, electricity bills jump, data centers need power, or a geopolitical shock hits a chokepoint, and suddenly the boring input becomes the macro story. Investors do not have to forecast every barrel to respect the constraint.

Energy is easy to treat as a sector. That is too narrow.

Oil, gas, electricity, and transmission capacity sit underneath transportation, food, manufacturing, housing, data centers, and household budgets. When energy prices are calm, investors can ignore that plumbing. When energy gets tight, the plumbing becomes the story.

The EIA's U.S. energy facts are a useful reminder that the system still depends heavily on petroleum and natural gas. The mix is changing, but the old system has not disappeared. That is why Gavekal's Shattered Assumptions and the Energy Quandary is worth keeping in the reference library.

Energy creates messy stories. It can be cyclical and geopolitical at the same time. It can be good for producers and bad for consumers. It can lift nominal revenue while hurting real purchasing power.

That is why investors often prefer to look past it. A clean technology narrative is easier to own than a pipeline, a refinery constraint, or a shipping chokepoint. But portfolios do not get to ignore the physical economy.

Energy also changes the meaning of other signals. A rising oil price during strong global demand is one thing. A rising oil price during weak growth and tight policy is another. The first can confirm reflation. The second can look more like a stagflation tax.

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Where Energy Enters The Macro Picture
How An Energy Constraint Reaches Markets

Read the field note on The Macro Dashboard.

The Market Cycle Usually Turns Before the Economic Data Looks Good

Mon, 01 Jun 2026 19:35:31 GMT

Markets and economic data do not move on the same clock. Prices discount, companies report, surveys update, payrolls lag, and recession calls arrive after the fact. That is why a dashboard can add risk while headlines still feel bad, or reduce risk while trailing data still looks fine.

Official economic data is useful, but it is not built for portfolio timing.

It is revised, delayed, and designed to measure what has already happened across the economy. The NBER explains its approach to business cycle dating, and FRED publishes the U.S. recession indicator series, but neither one tells you what to own this week.

Markets are messier, but faster. Equity prices can turn when the rate of change stops getting worse. Credit spreads can improve before earnings recover. Policy expectations can shift before the labor market confirms the turn.

That is why the dashboard may add risk while the headlines still feel bad, or reduce risk while trailing data still looks fine.

This is the part that feels backward. Bad economic data can be bullish if it lowers rates, improves liquidity expectations, or convinces investors that policy pressure is near a peak.

The reverse is also true. Good data can be bearish if it keeps policy tight, pushes the dollar higher, or delays liquidity relief.

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The Usual Order Of Evidence
Leading, Coincident, And Lagging Clues

Read the field note on The Macro Dashboard.

What Changes When VAMS Flips?

Mon, 01 Jun 2026 19:35:31 GMT

A VAMS flip is not a headline forecast. It is an asset-level state change. The practical question is what changed inside that sleeve and whether the change is large enough to affect the whole portfolio.

A VAMS flip means one sleeve changed state. It does not automatically mean the whole portfolio changed character.

Stocks, gold, and bitcoin each have their own VAMS reading. The dashboard looks at volatility-adjusted momentum and trend evidence, then waits for confirmation before moving the confirmed state. That matters because one noisy day should not force a portfolio trade.

AQR's trend-following research is useful background. Trend signals are not about knowing why the asset moved. They are about respecting that price behavior itself contains information.

Markets produce noise. Bitcoin produces a lot of it. Even stocks and gold can reverse quickly around policy meetings, inflation reports, and dollar moves.

That is why confirmation matters. A raw flip may show that conditions are changing, but the confirmed signal should be slower. The dashboard is trying to avoid getting chopped up by one-day reversals.

The cost is that the model may be late. The benefit is that it should make fewer meaningless trades. That tradeoff is normal for rules-based investing.

Charts

What a VAMS flip means
Why flips have different impact

Read the field note on The Macro Dashboard.

Cash Is Not Doing Nothing: How Dry Powder Changes Portfolio Math

Mon, 01 Jun 2026 19:35:31 GMT

Cash looks boring when risk assets are rising. That is exactly why it is easy to misunderstand. In a dashboard framework, cash is not a prediction that everything will crash. It is unused risk exposure waiting for better evidence, better prices, or both.

Cash is not supposed to beat stocks, gold, or bitcoin over a full cycle. If it did, the whole portfolio would be built differently.

The reason to hold cash is simpler: cash buys time. It limits how much the portfolio falls when risk assets are weak, gives you something to rebalance from, and keeps you from selling the asset you still want to own just because the market chose a bad week to offer liquidity.

That is the part most return charts miss. A chart that compares cash to stocks over 30 years is answering the wrong question. The practical question is whether holding some unused risk exposure improves the investor's ability to stay with the plan when the plan is under pressure.

The SEC's guide to asset allocation and rebalancing is basic, but the basic point matters: the allocation only works if you can rebalance and keep going.

Imagine a simple portfolio with 60% in risk assets and 40% in cash. If the risk sleeve falls 25%, the whole portfolio falls 15% before any interest on cash. That is still unpleasant, but it is not the same problem as being down 25% with no reserve.

The difference is not just emotional. The smaller drawdown leaves more capital to compound from. It also leaves the investor with a clean decision: add risk, keep the cash, or wait for more evidence.

Charts

Losses Need Bigger Gains To Recover
What Cash Buys

Read the field note on The Macro Dashboard.

How to Use the Dashboard Without Market Timing Your Whole Portfolio

Mon, 01 Jun 2026 19:35:31 GMT

The dashboard is not an invitation to put your entire financial life on one signal. The cleaner use is as a risk overlay: keep the base plan, then let the evidence adjust how much of the risk budget is active.

The dashboard is not an invitation to put your entire financial life on one signal.

The cleaner use is as a risk overlay. Keep the base plan, then let the evidence adjust how much of the risk budget is active. That keeps the dashboard useful without making every update feel like an all-or-nothing market call.

The SEC's asset allocation guide is basic, but it starts in the right place: diversification, allocation, and rebalancing come before tactics.

A risk overlay starts with a normal portfolio. Then it defines what the dashboard is allowed to change.

For example, an investor may decide that the dashboard can adjust only the stock, gold, and bitcoin sleeves, while emergency cash, short-term spending money, and long-term tax positions stay outside the process. Another investor may use the dashboard only to decide whether new contributions go to risk assets or cash.

Both approaches are more realistic than pretending every reader can trade the full model instantly.

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Three ways to use the dashboard
A safer implementation path

Read the field note on The Macro Dashboard.

What Stan Druckenmiller Teaches About Protecting Capital

Mon, 01 Jun 2026 19:35:31 GMT

The most useful lesson from Stan Druckenmiller is not "make giant macro bets." Most investors should not try that. The useful lesson is that protecting capital is an active discipline. It means knowing when the setup is good enough, when it is not, and when your own confidence is becoming the risk.

Stan Druckenmiller is usually discussed as a bold macro investor. The more useful lesson is his willingness to get out of the way.

In the saved Druckenmiller interview, the recurring idea is flexibility. He is not trying to win an argument with the market. He is trying to protect capital until the setup is good enough to press.

That is close to the logic behind a rules-based dashboard. Reducing exposure is not a permanent bearish identity. It is a decision that the current payoff no longer justifies the current risk. That is why the dashboard can reduce risk while the market is still going up.

The lesson is not that investors should copy a famous macro trader. Most should not.

The lesson is that risk-reward matters more than sounding certain. A mediocre forecast with good sizing can survive. A brilliant forecast with bad sizing can still break the portfolio.

This is where investors confuse conviction with exposure. Conviction is how strongly you believe the thesis. Exposure is how much damage you take if the thesis is early or wrong. Those are not the same thing.

Charts

A Flexible Risk Ladder
Druckenmiller Lessons For Normal Investors

Read the field note on The Macro Dashboard.

Why the Dashboard Uses Top-Down and Bottom-Up Signals

Mon, 01 Jun 2026 19:35:31 GMT

Top-down macro can explain the weather. Bottom-up trend tells you whether the asset is actually responding. The dashboard uses both because either one can be wrong or early by itself.

Top-down macro can explain the weather. Bottom-up trend tells you whether the asset is actually responding.

The dashboard uses both because either one can be wrong by itself. A macro story can sound convincing while the asset refuses to confirm. A trend signal can look strong while liquidity and credit are quietly getting worse.

The best setups usually have both. The regime is supportive, liquidity is not hostile, and the asset's own price behavior agrees.

Macro frameworks are useful, but they can become storytelling machines.

A recession call can be early for years. A liquidity concern can be real while stocks continue higher. A dollar squeeze can hurt some markets and leave others untouched for a while. The NBER's business cycle dating is a good reminder that clean macro labels often arrive late.

That is why the dashboard does not stop at the macro view. It asks whether stocks, gold, and bitcoin are confirming the story with their own trend and momentum.

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Two kinds of evidence
When signals agree or conflict

Read the field note on The Macro Dashboard.

The Early Retirement Problem Is Mostly a Sequence-of-Returns Problem

Mon, 01 Jun 2026 19:35:31 GMT

Early retirement turns normal market volatility into a timing problem. The portfolio is no longer just compounding. It is compounding while money is coming out. That makes the first bad market feel very different from the same bad market 20 years later.

Two portfolios can earn the same average return and produce very different retirement outcomes. The order matters.

If the bad years arrive early, withdrawals come out of a smaller base. The portfolio then has less capital left to participate in the recovery. If the same bad years arrive later, after the portfolio has had time to compound, they may be annoying instead of life-changing.

Michael Kitces has a useful explanation of sequence-of-return risk because it gets past the slogan. The problem is not volatility by itself. The problem is volatility plus withdrawals.

Early retirement makes the first decade especially important. The investor has more years to fund, fewer years of earned income to repair mistakes, and a longer window for inflation to work against spending power.

That does not mean the portfolio should hide in cash. A portfolio that is too conservative can create a different problem: not enough growth. The point is to avoid needing heroic returns right after a large drawdown.

This is why a risk dashboard can matter most near the retirement date. Reducing exposure during weak regimes is not about calling every top. It is about trying to avoid the drawdown that arrives when withdrawals are already happening. The safer implementation is to use the dashboard as a risk overlay, not as an all-or-nothing timing switch.

Charts

Same Average Return, Different Path
Where Sequence Risk Is Highest

Read the field note on The Macro Dashboard.

What Confirms a Risk-On Regime?

Mon, 01 Jun 2026 19:35:31 GMT

Risk-on is not just the stock market going up. A better risk-on regime has broad participation, calmer credit, less hostile liquidity, and asset-level momentum that agrees with the macro backdrop.

Risk-on is not just the stock market going up.

A stronger risk-on setup has broad participation, calmer credit, less hostile liquidity, and asset-level momentum that agrees with the macro backdrop. If only one large index is rising while everything underneath is weakening, the setup is more fragile.

That is why concentration matters. Goldman Sachs has written about S&P 500 concentration, and the dashboard treats narrow leadership differently from broad confirmation.

A narrow rally can last longer than skeptics expect. That does not make it healthy.

Breadth matters because it shows whether risk appetite is spreading. If a few mega-cap stocks carry the index while small caps, equal weight, credit, and cyclicals lag, the market is more dependent on a small set of winners.

That does not mean the rally must fail. It means the risk budget should notice the fragility.

Charts

Risk-on confirmation checklist
How risk-on gets stronger

Read the field note on The Macro Dashboard.

What Austrian Economics Gets Right About Investing

Mon, 01 Jun 2026 19:35:31 GMT

The useful part of Austrian economics is not that it gives investors a political identity. It is that it keeps dragging the conversation back to scarcity, time, incentives, and prices. That is a good habit for anyone trying to make portfolio decisions in a world where capital is always moving toward one thing and away from another.

The useful investor lesson from Austrian economics is simple: every decision has a cost, and the cost is often the thing you did not do.

Henry Hazlitt's Economics in One Lesson is blunt about this. Look past the first effect. Look at the later effects. Look at the people and balance sheets that are not part of the headline story.

That habit is useful in markets. A rate cut may help long-duration assets and hurt savers. A fiscal program may lift nominal growth and weaken the currency. A liquidity injection may support risk assets today and make future tightening more painful.

The first-order story is usually easy to sell. The second-order story is where investors get hurt.

Markets are not perfect, but prices still carry information. They tell investors where capital is wanted, where scarcity exists, and where the crowd may be paying too much for comfort.

That is the part worth keeping. Austrian economics can get ideological fast, but the practical discipline is to respect price signals instead of assuming a policy goal can erase scarcity.

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The Investor Version Of One Lesson
Four Austrian Ideas Investors Can Actually Use

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Why Bitcoin Trades Like a Liquidity Asset More Often Than an Inflation Hedge

Mon, 01 Jun 2026 19:35:31 GMT

Bitcoin has a powerful long-term monetary story. But over shorter market cycles, it often trades less like a simple inflation hedge and more like a high-beta liquidity asset. That distinction matters for The Macro Dashboard because bitcoin can deserve exposure in risk-on liquidity regimes and still be dangerous when funding tightens.

Bitcoin is scarce, portable, and outside the direct liability structure of the banking system. Those features are the foundation of the monetary-asset thesis.

The shorter-cycle behavior is different. Investors do not experience bitcoin as a clean purchasing-power hedge. They experience it as a volatile asset that can rise hard when liquidity is loose and fall hard when the dollar, real rates, or risk appetite move against it.

Lyn Alden's piece on bitcoin as a global liquidity barometer is a useful bridge between the long-term thesis and the way bitcoin often trades. Fidelity Digital Assets makes the allocation case in Getting Off Zero, but that case still depends on sizing the sleeve so the volatility does not own the whole portfolio.

If bitcoin were a simple inflation hedge, it would mainly care about CPI. That is not how investors usually experience it.

Bitcoin often cares more about liquidity conditions: the dollar, real rates, credit stress, and speculative appetite. Inflation can matter, especially if it changes confidence in fiat money. But inflation with tightening policy and a stronger dollar is not the same setup as inflation with easier liquidity.

That distinction matters for The Macro Dashboard. Bitcoin can deserve exposure in a risk-on liquidity regime and still be dangerous when funding tightens. Both statements can be true.

Charts

Four Bitcoin Macro Regimes
Sizing Turns Volatility Into A Portfolio Decision

Read the field note on The Macro Dashboard.

Why Bitcoin Gets a Smaller Maximum Weight

Mon, 01 Jun 2026 19:35:31 GMT

A smaller bitcoin maximum is not a statement that bitcoin is unimportant. It is a sizing decision. The asset is volatile enough that a modest sleeve can still matter to the portfolio.

A smaller bitcoin maximum is not a statement that bitcoin is unimportant. It is a sizing decision.

Bitcoin is volatile enough that a modest sleeve can still matter to the portfolio. A 10% maximum weight can contribute meaningful upside in a strong liquidity regime and still hurt enough to matter when the cycle turns against it.

Fidelity Digital Assets makes the long-term case in Bitcoin First, but the allocation question is different from the thesis question. You can respect the asset and still limit the sleeve.

The problem with volatility is not only the math. It is the behavior.

A sleeve that falls 50% can cause investors to abandon a plan even if the sleeve was sized rationally at the start. A sleeve that rises 150% can make investors want more exposure at the exact moment discipline matters most.

Fidelity's note on bitcoin volatility is useful because it keeps the conversation grounded. Volatility does not make bitcoin unusable. It makes sizing non-negotiable.

Charts

Same sleeve, different volatility
Why bitcoin sizing is different

Read the field note on The Macro Dashboard.

Why the Dashboard Does Not Need to Call Recessions

Mon, 01 Jun 2026 19:35:31 GMT

Recession calls are too slow and too binary for weekly portfolio decisions. The dashboard does not need to know whether the economy will be labeled in recession. It needs to know whether the evidence is getting better or worse for risk assets.

Recession calls are useful, but they are too slow and too binary for weekly portfolio decisions.

The dashboard does not need to know whether the economy will be officially labeled in recession. It needs to know whether the evidence is getting better or worse for risk assets.

The NBER explains its business cycle dating process clearly. It is a historical classification process, not a weekly allocation tool. That is not a criticism. It is just a different job.

A portfolio can lose money long before the recession is official. It can also recover before the data looks clean.

That is why the earlier post argues that the market cycle usually turns before the economic data looks good. Markets discount. Official data confirms.

The dashboard focuses on the evidence that can change earlier: price, trend, credit, liquidity, dollar pressure, breadth, and regime scores. None of those is perfect. Together, they are more useful for exposure than waiting for a binary label.

Charts

Why recession labels arrive late
Better weekly questions

Read the field note on The Macro Dashboard.

A Sample Week in The Macro Dashboard

Mon, 01 Jun 2026 19:35:31 GMT

A good weekly review should be boring. Read the allocation, check what changed, understand why it changed, and decide whether anything in your own plan needs attention.

A good weekly dashboard review should be boring.

Read the allocation, check what changed, understand why it changed, and decide whether anything in your own plan needs attention. If nothing meaningful changed, the right answer may be to do nothing.

That is harder than it sounds. Investors are trained to react to every headline. The dashboard is meant to narrow the question.

Start with the current allocation and percent-of-maximum exposure.

This tells you whether the model is spending more or less of its risk budget. If stocks are full, gold is off, bitcoin is off, and cash is high, the model is saying something different than if all three risk sleeves are active.

The earlier post on how to read the portfolio signal covers the mechanics. The weekly habit is simpler: look for changes before looking for stories.

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A weekly review workflow
What deserves attention

Read the field note on The Macro Dashboard.