Anchoring bias is a cognitive error where a trader relies too heavily on the first piece of information encountered (often their entry price or a historical price level) and uses it as a reference point for all subsequent decisions.
How Anchoring Bias Works
Your brain uses reference points to make decisions. The first number you see becomes the anchor—an invisible baseline your mind returns to repeatedly, even when new information suggests that baseline is wrong.
Example: You buy GBPUSD at 1.3200. The pair falls to 1.3100. Your brain anchors to 1.3200 and thinks, “When it gets back to 1.3200, I’ll be break-even.” But the market doesn’t care about your entry price. If the fundamental outlook changed, the pair might never see 1.3200 again.
You hold the position, waiting for the pair to bounce back. Meanwhile, the pound weakens further due to interest rate cuts. You lose 300 pips instead of cutting at 100 pips.
Why Anchoring Happens
1. Ego protection If you bought at 1.3200, calling that price “fair” protects your ego. Admitting the price was wrong feels like admitting you made a bad decision.
2. Sunk cost fallacy You already “paid” 1.3200. Getting back there feels like breaking even, not losing money. Your brain overweights the entry price in its calculations.
3. Availability bias Your entry price is the most recent and salient piece of information in your memory. Your brain defaults to it.
Real-World Examples
INFY stock at ₹2,000 You bought Infosys at ₹2,000. It drops to ₹1,850. You think, “₹2,000 is the real value. When it bounces back, I’ll sell.”
But the company disappointed investors. Quarterly earnings were weak. The market now prices it at ₹1,800 fairly. Waiting for ₹2,000 means holding through more bad news.
The stock falls to ₹1,500 over the next 6 months. You lost ₹500 per share because you were anchored to your entry.
AUDUSD at 0.7400 You short AUDUSD at 0.7400 with 100 pips risk. The pair goes to 0.7450 (+50 pips against you). You think, “0.7400 is support. It will bounce.”
But the RBA is cutting rates. The Australian dollar is weakening structurally. Your 0.7400 entry price means nothing to the fundamentals. The pair falls to 0.7200, but you exited at 0.7480 (your stop) because you were looking for a bounce to 0.7400.
You missed the 200-pip move against you by being anchored to your entry.
How Anchoring Bias Manifests
1. Holding losers too long “It was ₹100 when I bought; I’ll wait for ₹100 again”
- Reality: If the fundamental story changed, ₹100 might never return
- Cost: Letting small losses become big losses
2. Selling winners too early “I bought at ₹80; I’ll sell at ₹90 for 10% profit”
- Reality: If the thesis is still intact, the stock might go to ₹120
- Cost: Missing big wins to hit an arbitrary profit target
3. Ignoring new information “The analyst said fair value is ₹150. I paid ₹130, so there’s ₹20 upside.”
- Reality: If the analyst is wrong, the stock could fall to ₹100
- Cost: Anchoring to one analyst’s forecast instead of re-evaluating yourself
4. Averaging down recklessly “The stock fell 30%. I’ll buy more at ₹70.”
- Reality: If the company has real problems, ₹70 is expensive too
- Cost: Doubling down on a bad thesis
Anchoring vs. Support/Resistance
This is critical: Just because a price is your entry doesn’t mean it’s support.
| Concept | Meaning | Anchor |
|---|---|---|
| Support | Price level where buyers have historically entered | Data-driven |
| Resistance | Price level where sellers have historically exited | Data-driven |
| Your entry price | The price you bought at | Emotional anchor |
Support and resistance work because thousands of traders remember those levels. Your entry price works only in your head.
Confusing the two is how traders justify holding losers.
The Anchoring Test
Ask yourself this question about every losing position:
“If I didn’t own this, would I buy it at this price right now?”
- If yes: Hold or buy more. You’re making a fresh decision.
- If no: Sell. You’re anchored to your entry price, not the current value.
Most traders answer “no” but hold anyway. That’s anchoring talking.
How Anchoring Spreads
Anchoring isn’t just personal—it’s contagious:
- Media anchors you: “INFY hit ₹2,200 all-time high” (now you think ₹2,200 is ‘fair’)
- Analyst anchors you: “Target price ₹1,800” (you anchor to 1,800, ignoring new risks)
- Company anchors you: “Last quarter’s revenue was ₹50,000 crore” (you expect steady growth, not decline)
Professional traders use anchoring against retail traders. They know retail is anchored to old prices. So they move markets past those anchors deliberately.
Breaking Anchoring Bias
1. Use “fresh eyes” reviews Every Friday, review your positions as if you’re seeing them for the first time. Ask: “Do I like this position at today’s price?”
2. Set a price target before entering When you enter a trade, write down:
- Entry price: 1.0850
- Target exit: 1.0920 (profit) or 1.0800 (stop)
Don’t let your entry become the goal. Stick to your target.
3. Journal your entries and anchors Track: “I entered at 1.0850. I’m anchored to 1.0850 now? Yes/No?” After 20+ trades, you’ll see patterns in when anchoring hurts you.
4. Review the thesis, not the price When deciding to hold or exit, ask: “Is my thesis still true?” Not “What was the entry price?”
Example: You bought XYZ at ₹100 because you thought the company would expand into new markets. 6 months later, expansion is delayed. Exit. Don’t wait for ₹100 again.
5. Make loss-taking automatic Use stop-losses. They prevent you from thinking about your entry price while losses compound.
Anchoring in Practice
Bad: “I bought the Nifty at 19,000. When it hits 19,500, I’m taking profit.”
Good: “The Nifty is at 19,100. Based on the RBI policy and corporate earnings, I expect it to reach 19,800 within 3 months. I’m setting my target there and holding.”
See the difference? The second version ignores your entry price entirely. It’s based on analysis, not emotion.
How PipJournal Helps
PipJournal forces you to log the actual reason for each trade—not just the entry/exit price. When you review your trades, you’ll see if you exited because your thesis failed or because you were anchored to your entry. Over time, you’ll break the anchoring bias by building the discipline to exit when the thesis changes, not when you hit a profit target.
