Howard Marks: What Is Already Priced

Michael Whitman · Trading since 2017, full-time since 2020 · Reviewed 2026-09-06

Howard Marks distinguishes first-level thinking, which forms an obvious view, from second-level thinking, which asks what that view is already priced into. His other central claim is that cycles cannot be predicted but current position within one can be assessed.

How it works

A candlestick chart of the site's shared price history. The headline on the chart reads: Second-level thinking, and where we are in the cycle. — Second-level thinking, and where we are in the cycle. Illustrative chart - not real market data.

Two ideas carry most of the work. A way of testing whether a view is worth acting on, and a framework for judging market conditions without forecasting them.

A gently rising stretch of the long price series with an account equity curve beneath it. The headline on the chart reads: First-level thinking is the obvious view everybody holds. — First-level thinking is the obvious view everybody holds. Illustrative chart - not real market data.

First-level thinking is a straightforward conclusion. This is a good company, so buy it. The reasoning is sound and it is also the reasoning everybody else applied to the same public information.

A calmly advancing stretch of the long price series with a slowly rising equity curve beneath it. The headline on the chart reads: Second-level asks what is already in the price. — Second-level asks what is already in the price. Illustrative chart - not real market data.

Second-level thinking adds one question. Everybody thinks it is a good company, so is the price already reflecting that — and is it reflecting more of it than the business will deliver? A view that is correct and universally held produces no return, which is the whole of the idea.

Cycles

A flat, quiet stretch of the long price series with a gradually rising equity curve beneath it. The headline on the chart reads: And everything moves in cycles, including sentiment. — And everything moves in cycles, including sentiment. Illustrative chart - not real market data.

Credit conditions, sentiment and risk appetite all cycle. Not on a schedule and not predictably, but persistently — periods of excessive caution give way to excessive confidence and back again.

A strongly rising stretch of the long price series with an account curve breaching its limit. The headline on the chart reads: You cannot predict, and you can know where you are. — You cannot predict, and you can know where you are. Illustrative chart - not real market data.

The distinction is between forecasting and locating. Predicting the turn is not available; assessing whether lending standards are loose, whether risky assets are being bought without scrutiny, and whether scepticism has disappeared is. That assessment is observable rather than predictive, and it is what the approach actually asks for.

Risk

His definition of risk is the probability of permanent loss. Not variability — an asset that moves a great deal and recovers is volatile, and an asset that quietly fails is risky, and standard measures treat the first as the dangerous one.

A declining stretch of the long price series. The headline on the chart reads: And controlling risk is not the same as avoiding it. — And controlling risk is not the same as avoiding it. Illustrative chart - not real market data.

Controlling risk earns a return; avoiding it does not. Which is the argument against confusing safety with quality — a portfolio that takes no risk produces no return, and the skill is in taking risk you are paid for.

A 72-bar candlestick section of the shared price history with an account curve shown with and without fees. The headline on the chart reads: He wrote memos for twenty years before anybody read them. — He wrote memos for twenty years before anybody read them. Illustrative chart - not real market data.

The memos are the primary source and they are free. Written since the early 1990s and published openly — which is unusual enough to be worth noting on its own.

In practice

A candlestick chart with a volume histogram beneath it, with the volume histogram emphasised. The headline on the chart reads: Participation tells you about sentiment and nothing else. — Participation tells you about sentiment and nothing else. Illustrative chart - not real market data.

Volume is read as sentiment rather than as signal. Enthusiasm and its absence are the observable inputs, and they say more about where the cycle is than about what happens next.

A long-horizon candlestick view of the same price series. The headline on the chart reads: The cycles he describes run in years. — The cycles he describes run in years. Illustrative chart - not real market data.

These cycles run in years. Which means the assessment changes slowly and acting on it frequently is a misuse of the framework.

A candlestick series containing several opening gaps, with the largest opening gap marked. The headline on the chart reads: And the best prices arrive when nobody wants them. — And the best prices arrive when nobody wants them. Illustrative chart - not real market data.

A gap down in a panic is where the framework says to look. Forced selling produces prices unrelated to value, which is the only reliably favourable condition it identifies.

A declining stretch of the long price series, with the entry price and the level at which a stop would trigger drawn as horizontal lines. The headline on the chart reads: A stop has no role in any of it. — A stop has no role in any of it. Illustrative chart - not real market data.

No stop appears anywhere. The framework is about what to buy and when conditions favour buying, not about managing a position by price.

Every trade still costs a share of a bar. Illustrative chart - not real market data.

Costs apply regardless. 2% of a median bar’s range per round trip on this site’s shared history, which is a reason the framework’s slow cadence is an advantage rather than a limitation.

The one question worth taking

Before any position, ask what would have to be true for this to be mispriced. Not why it is a good company — why the rest of the market has this wrong. The answer is either something specific about information, time horizon or constraints, or it is nothing.

Being unable to answer is the useful outcome. It does not mean the position is bad; it means there is no identified reason for an edge, which is worth knowing before sizing it. Most positions fail this test, and noticing that is the entire value of second-level thinking.

One further idea from the memos explains why the framework is defensive: the distribution of outcomes matters more than the expected one. A strategy with a good average and a small chance of ruin is not a good strategy, because the ruin ends the sequence and the average never arrives.

Which is why he writes about surviving rather than winning. Avoiding the losers, he argues, does more for a long-run record than finding the winners — because the compounding only continues while you are still in the game.

What the framework is not

It is not forecasting. It locates rather than predicts.

It is not risk avoidance. It is being paid for risk taken.

It is not a timing method. The cycles run in years.

And it is not a stock screen. It is a set of questions.

When it fails

A sideways, range-bound candlestick series. The headline on the chart reads: In a flat market the cycle is still running underneath. — In a flat market the cycle is still running underneath. Illustrative chart - not real market data.

A flat market can conceal a cycle moving underneath it. Credit conditions and sentiment change while prices do not, which is exactly the period the framework is designed to notice and the period nobody is paying attention.

The second failure is treating the cycle assessment as a timing signal. Recognising excess does not say when it ends, and acting early is indistinguishable from being wrong.

A third is using second-level thinking to justify contrarianism. Being different is not the point; being different and correct is, and most contrarian positions are simply different.

A fourth is confusing volatility with risk. They are related and they are not the same measurement.

And a fifth is reading the memos as calls. They are frameworks, and they are explicit about not being predictions.

The original data

Of the 31,760 trading and investing videos in this site’s corpus, 9 have “howard marks” in the title at a median of 178,341 views across 5 channels, with a maximum of 2,382,269. “Charlie munger” returns 12 at a median of 307,798, “warren buffett” returns 77 at a median of 71,546, and “peter lynch” returns 13 at a median of 10,131. The counts are in research/corpus-coverage.json, produced by site/measure_corpus.py.

A strongly rising stretch of the long price series, cut short at the decision bar. The headline on the chart reads: Everybody agrees it is cheap. Is it? — Everybody agrees it is cheap. Is it? Illustrative chart - not real market data.

Nine videos at a median of 178,341 views is the second-highest per-video figure of any name measured here, and the primary source is free and published openly. That final question is the framework in six words: universal agreement that something is cheap is itself a fact about the price, and second-level thinking is nothing more than remembering to ask it.

Valuation is where the first-level view usually comes from. Risk management is his distinctive definition applied. And Charlie Munger is the neighbouring approach to the same problem.

What I actually do

The question I ask now before any position is what would have to be true for this to be mispriced. Not why it is good - why is everybody else wrong. Half the time I cannot answer it, and that half is worth more to me than the rest.

— Michael Whitman

This page is educational, not financial advice. Test every idea on your own charts before risking money.