You are holding a position. You keep watching the same price — the one you paid. Every tick above it feels like safety; every tick below it feels like a threat. The market has no awareness of that number. You are the only participant for whom it carries any meaning at all. That is anchoring, and understanding why the brain does it is the first step toward replacing it with an assessment that the market actually rewards.
By the end of this article you will be able to identify the three most common price anchors, explain why none of them reflect the current balance between buyers and sellers, and apply a concrete blank-slate test before each decision.
Why the First Number Sticks
An anchor, in the language of decision science, is any initial piece of information that disproportionately influences subsequent judgments — even when that information is arbitrary or no longer relevant. The brain does not naturally discount the first number it encounters. Instead, it sets that number as a reference and evaluates everything else as a deviation from it.
This tendency serves us well in many contexts. When estimating something unfamiliar, an initial data point is genuinely informative — it narrows the range of plausible answers. In price decisions, the mechanism misfires because the anchor is not informative about future price behavior. It is informative about your past action. Those are different things, and the market only cares about the first.
The anchor does not need to be introduced deliberately to have its effect. The moment you execute a trade, your entry price becomes the most salient number in your attention. You did not choose to weight it this way. The bias installs itself automatically.
The Three Common Anchors
Anchoring in price decisions tends to concentrate around three specific reference points. Each has a different surface appearance, but the underlying error is identical in all three.
Entry price. The most personal anchor. Once you own a position, your entry price becomes the mental baseline against which all subsequent prices are measured. A position trading at your entry feels neutral. Above it feels like success. Below it feels like a problem to be solved. None of that framing reflects what the setup currently looks like — it reflects the history of your specific transaction.
Prior swing highs and lows. A recent high or low leaves a visible mark on a chart and a more durable one in memory. After a sharp move, traders frequently anchor to the level where price peaked or troughed, treating it as a target, a ceiling, or a floor. The prior level may or may not be relevant to the current structure — that depends on whether market participants are currently organizing activity around it. Whether you remember it vividly is not evidence that they are.
Round numbers. The pull of a number like 100, 500, or 1,000 is almost universal. Round numbers attract attention precisely because they are round — cognitively convenient, easy to remember, and naturally used as targets and thresholds in conversation. This is worth separating from the entry-price and prior-level anchors because the mechanism is different, and so is the partial exception that applies to it — covered below.
Why None of These Are Meaningful to the Market
The market does not know what you paid. It does not know where the last swing high was on your particular chart interval. It has no preference for round numbers as terminal destinations.
What the market does reflect — imperfectly, dynamically, and continuously — is the current aggregate behavior of participants: where orders are concentrated, where supply and demand are in or out of balance, what conditions are driving the flow of capital in this moment. Your entry price contributes nothing to that aggregate. A prior swing level contributes only to the extent that a sufficient number of other participants are also using it as a reference — which is an empirical question, not a certainty, and the answer changes as conditions evolve.
This is the core problem with anchoring: it substitutes a fact about your personal history for an assessment of current market structure. The two are different inputs, and only the second one has any predictive relevance to what happens next.
The Blank-Slate Test
The antidote to an anchor is not trying to forget the anchored number — that does not work. The antidote is an explicit procedure that forces a forward-only assessment before you act.
The blank-slate test is a single forced question: If I had no position at all right now — no entry price, no prior reference, no unrealized gain or loss — what would the current setup tell me to do?
Applied honestly, this question resets the framing. It removes the emotional load of what you paid and replaces it with a clean read of what the current conditions suggest. If your answer under blank-slate conditions is "I would not enter this," but you are holding it because you are waiting to break even, you have found the anchor. The decision to hold is being driven by a reference point that only you can see, not by anything the market is showing you now.
The blank-slate test is not about whether you are right or wrong. It is about whether your reasoning is grounded in current conditions or in past transactions. The former can be evaluated and improved. The latter is not analysis — it is accounting.
Round Numbers: The Partial Exception
Round numbers deserve a more nuanced treatment than the other two anchors, because they have a partially self-fulfilling property that the others lack.
If a large and diverse group of market participants all treat a round number as a significant level — placing orders around it, expecting activity there, describing it in conversation — then that level can generate actual supply or demand effects. The round number becomes temporarily meaningful not because of any underlying value, but because enough participants have anchored to it simultaneously.
This is crowd psychology operating as a mechanism, not a property of the number itself. The important implication: a round number level is only worth paying attention to if you have evidence that the crowd is currently treating it as significant. When that crowd conviction fades, the level loses whatever influence it had. Anchoring to a round number from a prior period, in a new market environment, gives you the artifact without the mechanism — all the cognitive weight, none of the actual market effect.
The discipline here is the same as with the other anchors: ask what the current structure shows, not what a memorable number suggests.
What Anchoring Costs
The mechanism of loss is straightforward. When you hold a position to break even against your entry price, you are making a continuation decision on the basis of your accounting, not on the basis of the current setup. If the current setup is unfavorable — if the blank-slate test would produce an exit — then you are accepting continued exposure to a deteriorating condition in order to satisfy a reference point that exists only in your records.
The same applies in the other direction. When you exit a position because it has reached a prior swing level or a round number — without asking whether that level has current structural significance — you may be leaving a working setup because of a remembered number rather than because conditions have actually shifted.
In both cases the cost is the same: decisions driven by arbitrary reference points produce arbitrary outcomes. The randomness is not in the market — it is in the anchor.
Dow 10,000 and the Round-Number Record (March 1999)
On March 29, 1999, the Dow Jones Industrial Average closed above 10,000 for the first time, settling at 10,006.78 — after the index had crossed and retreated from that threshold several times earlier that month. Traders on the NYSE floor wore specially made commemorative caps to mark the occasion. The number carried no intrinsic economic weight: a company's earnings, its debt load, and the interest-rate environment were unchanged whether the index read 9,998 or 10,002. The level mattered because enough participants treated it as meaningful, making it a textbook case of collective reference-point anchoring rather than structural value. The academic underpinning is consistent with it: the disposition effect, named by Shefrin and Statman in 1985 and documented empirically by Terrance Odean in a 1998 Journal of Finance study, shows that investors anchor systematically to their original purchase price — the same cognitive mechanism expressed individually rather than across a market-wide round number.
Simulator Exercise: Cover the Entry
Open Abu Terminal and start a Speed Run in any market era. Run at least ten events without checking your running position summary. After the run, go back and identify three positions you held or exited during the session.
For each one, cover the entry price — physically cover that part of the screen with your hand, or write the question on paper before you look. Ask yourself, out loud or in writing: With no knowledge of what I paid, what does the current setup say?
Write your blank-slate answer. Then reveal the entry price. Compare the decision you just described to the one you actually made during the run. If your blank-slate answer and your in-run decision are different, you have found a live anchoring instance. The simulator gives you this exercise at zero financial cost — the discomfort of recognizing the gap is the entire point.
Repeat across three sessions. Track whether the gap between blank-slate and anchored decisions narrows. Narrowing is the behavioral signal that the discipline is developing.
Limits of this exercise: Covering the entry price in simulation is easier than doing it in a live account where your unrealized P&L is always visible. The drill builds the habit of asking the question; translating it to live conditions requires additional deliberate practice and a display setup that keeps running P&L off your primary view during the decision window.
Related Reading
Loss Aversion: Why We Sell Winners and Hold Losers covers the related pattern of cutting winners too early and holding losers too long — a disposition driven by the same reference-point logic, but expressed differently in the exit decision. Sunk-Cost Trap in Open Positions examines how sunk costs interact with anchoring when a position has moved far against you and the question is no longer break-even but how deep to let it run. Process vs Outcome: Judging Decisions, Not Results provides the broader framework for evaluating decision quality independently of what the price did afterward. Support and Resistance: What a Price Level Actually Is explains when a price level has genuine structural significance versus when it is only a remembered number.
Educational simulator content, not financial advice.
Updated: June 12, 2026