What the market is actually telling you

The problem most investors can't solve alone

Every weekday morning, professional investors at Goldman Sachs and Bridgewater Associates walk into trading floors with twelve monitors in front of them, terabytes of historical price data, and a team of analysts whose only job is to interpret what's happening across two dozen interconnected market indicators. They have Bloomberg terminals that cost $24,000 a year. They have proprietary models that took decades to build. They have something most retail investors don't: a calibrated read of where the market actually is.

The rest of us read a headline that says "Fed signals possible rate cut" or "VIX spikes 18%" or "Yields invert again" and have no honest way to translate that into "should I be worried, or is this the noise that gets generated every day on a normal market that's fine?"

That gap is the most expensive thing in retail investing. Not bad trades. Worry-driven trades that shouldn't have been made. Disciplined holds that shouldn't have been broken. Years of compounding interrupted because somebody on a Sunday afternoon read that yields inverted and panicked.

Macro Lens exists to close that gap with a deliberately small, fully published framework: six market signals, read the same way every day, summarized into a single calibrated answer about the regime.

The most important pair of terms in macro investing

Before we go further: every professional investor talks in terms of risk-on and risk-off. These two phrases describe how the entire market is behaving as a system, regardless of what any single stock is doing.

Risk-on means investors are confident. They're buying stocks — especially the growth-y ones, the small companies, the cyclical names. They're willing to lend money to riskier borrowers because they believe defaults will stay low. Energy can lead. Credit feels loose. Most days look like this.

Risk-off means investors are afraid. They sell stocks indiscriminately and pile into the safest things they can find: U.S. Treasury bonds, defensive stocks like utilities and consumer staples, gold. Credit markets seize up. Small companies get hit hardest. These days are rare but unmistakable — March 2020, October 2008, December 2018.

Most days are neither. Most days are mixed or transitional — some parts of the market lean risk-on, others lean risk-off, and the honest answer is the data is genuinely ambiguous. A real read of the market includes calmly saying so.

The six signals Macro Lens watches

Every signal is a ratio — one piece of the market divided by another. Ratios are powerful because they cancel out the noise of the overall market moving and isolate the relative behavior of one group versus another. That's what professionals actually look at.

For each signal below: what it measures, why it matters, and what it tells us when it leads or lags.

1. Technology leadership — SMH/SPY

What it is. SMH is an ETF that tracks the semiconductor sector (Nvidia, AMD, TSMC, ASML — the companies that make the chips underlying nearly every modern technology). SPY is the S&P 500 — the broad U.S. stock market. The ratio asks: are chips outperforming the average stock?

Why it matters. Semiconductors are the most economically-sensitive piece of the market. Chip orders are placed months in advance for products that will ship a year later. When investors believe in the forward economy, they buy chips early. When they get nervous, chips sell off first. Tech leadership is one of the cleanest early indicators of risk appetite.

Plain English read. Chips leading = investors are optimistic about growth. Chips lagging = investors are protecting capital.

2. Consumer strength — XLY/XLP

What it is. XLY tracks consumer discretionary stocks — what people buy when they have spare cash (TVs, restaurants, travel, luxury goods, Disney, Tesla, Nike). XLP tracks consumer staples — what people buy regardless (groceries, soap, toothpaste, soda, Walmart, Procter & Gamble). The ratio asks: are people spending on what they want, or only on what they need?

Why it matters. This is the most direct read of consumer confidence in the entire market. Retail spending is roughly 70% of the U.S. economy. When discretionary leads, households feel secure about their jobs and income. When staples lead, they're hunkering down.

Plain English read. Discretionary leading = consumer confident. Staples leading = consumer cautious.

3. Rates and risk-taking — XLF/XLU

What it is. XLF tracks the financial sector — banks, brokers, insurers, asset managers (JPMorgan, Goldman Sachs, BlackRock). XLU tracks utilities — electric and gas companies (Duke Energy, Southern Company, NextEra). The ratio asks: are investors rewarding lenders, or are they hiding in bond proxies?

Why it matters. Financials thrive in rising-rate environments with confident credit cycles — banks make money on widening interest margins, brokers make money on heavy trading volume. Utilities are the closest thing the stock market has to bond proxies — they pay steady dividends, they don't grow much, and investors buy them when they want safety with a yield. Financials leading is a bet on economic activity. Utilities leading is a bet on bonds and defensiveness.

Plain English read. Financials leading = risk-taking welcomed. Utilities leading = capital looking for somewhere quiet to hide.

4. Small-cap participation — IWM/SPY

What it is. IWM tracks the Russell 2000 — about 2,000 small American companies that don't make the news but make up the foundation of the economy. SPY is the broad market dominated by the largest companies. The ratio asks: is the rally broad, or only benefitting the giants?

Why it matters. Healthy market rallies broaden out. When investors are confident, they buy not just Apple and Microsoft but the smaller companies too. Unhealthy rallies are top-heavy — only the largest names go up while everything else sells off. Small caps are sensitive to interest rates, credit availability, and economic growth in ways that giant multinationals aren't.

Plain English read. Small caps participating = healthy broad rally. Small caps lagging = the rally may be on borrowed time.

5. Credit conditions — HYG/TLT

What it is. HYG tracks high-yield ("junk") corporate bonds — debt issued by companies with weaker credit ratings. TLT tracks long-duration U.S. Treasury bonds — the safest debt instruments in the world. The ratio asks: is the bond market accepting risk, or fleeing to safety?

Why it matters. Credit markets see economic problems before equity markets do. When credit cracks — meaning high-yield spreads widen sharply because investors no longer trust shaky borrowers to repay — stocks usually follow within weeks. When credit is calm, equities have a foundation. This is the single most-important signal in the framework. A bullish equity market that's not supported by credit is on thin ice.

Plain English read. High yield leading Treasuries = credit accepts risk, equities have a backstop. Treasuries leading = credit nervous, watch closely.

6. Inflation pressure — XLE/SPY

What it is. XLE tracks the energy sector — oil and gas companies (Exxon, Chevron). SPY is the broad market. The ratio asks: is energy leading, or lagging?

Why it matters. Energy is the most direct read on inflation embedded in the market. When oil leads, inflationary pressures are in the system — affecting everything from gasoline to airline tickets to shipping costs. When energy lags, inflation is cooling or already contained. This signal also tells us about geopolitical risk and supply concerns.

Plain English read. Energy leading = inflation pressure or geopolitical premium. Energy lagging = inflation cooling, normal conditions.

How the six combine into one regime read

Every morning, before any AI is involved, Macro Lens classifies each of the six ratios as bullish, bearish, or neutral using a deterministic moving-average rule. Then it counts:

Signals bullish	Signals bearish	Regime call
5 or 6	—	All clear, high confidence
4	—	Mostly clear, moderate confidence
—	5 or 6	Cautious, high confidence
—	4	Some caution, moderate confidence
Anything else		Mixed signals, low confidence

That single call — five possibilities, plus a confidence level — is the whole answer. Everything else in our daily brief explains why the call is what it is. The signals lead. The prose follows. The math doesn't move because we don't like the answer.

A few terms in plain English

You'll see these constantly in financial coverage. Most people don't actually know what they mean. None of them is mysterious once they're translated.

ETF (exchange-traded fund). A basket of stocks you can buy as a single ticker. SPY is an ETF that owns all 500 S&P companies in one shot. ETFs are how retail investors get instant diversification.

Sector rotation. The idea that money flows between groups of related stocks (technology, energy, financials, utilities, etc.) over time as economic conditions change. Bull markets and bear markets are partly about which sectors are leading.

Defensives vs cyclicals. Defensive sectors (utilities, staples, healthcare) don't depend on a strong economy — people pay their power bill and buy toothpaste in a recession. Cyclical sectors (industrials, materials, consumer discretionary) need economic growth to do well. When cyclicals lead, the market expects expansion. When defensives lead, the market expects contraction.

Credit spread. The extra yield investors demand to hold a risky bond instead of a Treasury. When spreads widen, the market is worried about defaults. When spreads tighten, the market is comfortable lending money to weaker borrowers.

Yield curve. The chart of bond yields across different maturities — 3-month, 2-year, 10-year, 30-year. Normally short-term yields are lower than long-term yields. When that inverts (short above long), the market is forecasting an economic slowdown. The yield curve has predicted every U.S. recession in the last 50 years — but with highly variable timing.

Beta. A stock's sensitivity to overall market movements. A stock with beta 1.5 moves 50% more than the market in both directions. A stock with beta 0.5 moves half as much. Utilities have low beta. Technology and small caps have high beta.

VIX. The market's expected volatility over the next 30 days, sometimes called the "fear gauge." When VIX is low, the market is calm; when it spikes, the market is bracing for movement. A useful short-term emotion meter, but it doesn't predict direction — only how bumpy the ride is expected to be. Macro Lens does not currently include VIX as one of the six core ratios — it adds noise without adding regime signal — though we may include it as a complement in a future methodology version.

What we deliberately don't do

Reading the six signals correctly is most of the work. Knowing what not to claim with that read is the rest.

• We don't recommend specific stocks. We never say "buy this" or "sell that." We address the market and investors generally, never your specific portfolio.
• We don't predict the future. We describe the present regime and the historical base rates that bound it. Markets are not prediction machines.
• We don't manufacture urgency. A regime that's been stable for three weeks doesn't change because we want to write something exciting. Most mornings, the right brief is calm.
• We don't override the engine with the AI. The math leads. The prose follows. If the engine says mostly clear, the brief never says imminent recession — that's a bug, not a feature.

Why we publish the framework

The methodology is the moat because it's published. Anyone with access to public ETF price data can reproduce the six ratios. Anyone with a spreadsheet can apply the moving-average rule. We are not selling secret signal; we are selling the discipline of reading public signal the same way every day, the writing that translates the read into plain language, and the calibration to call the read mixed when the data is genuinely mixed.

You can do this yourself. You probably won't, because doing it well every morning is the same kind of work that any reliable practice is: less about insight than about not skipping the boring 95%. So we do it for you, and you get five minutes a day with coffee instead.

That's the deal.

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Want the full mathematical specification — moving-average rules, aggregation thresholds, edge cases, version history? It's published in full on the methodology page and in the open-source repository. Reproducible, dated, auditable.

Questions or methodology critiques? Send them to the founder. Reasoned criticism is welcome.

— Lindsay Hiebert, Founder, Macro Lens