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Psychology
Updated 2025-06-04·Editorial policy·Trading system

What is Recency Bias?

Recency bias gives excessive weight to the latest trades or news when making decisions.

Formula

What Recency Bias Creates: - 3 losing trades → "My strategy is broken" - 1 week market rally → "Bull market forever" - Recent stock surge → "I need to buy this" Reality: - 3 trades is statistically meaningless - 1 week is noise, not signal - Past performance doesn't predict future

Indian market context (NSE)

Reference levels: Nifty 50 at 24,300, Reliance Industries at ₹1,300, Bank Nifty futures at 55,000 (lot size 30). Examples below show how Recency Bias shows up on Indian index, equity, and futures books — update to live quotes in your journal.

Nifty 50 perspective

Recency Bias often appears after Nifty moves 150+ points from open while you waited — journal “Nifty FOMO” entries separately from A-grade setups at 24,300 levels.

Reliance Industries perspective

Recency Bias on Reliance trades is common around results noise at ₹1,300 — rate discipline 1–5 in TradeLyser even when P&L is green.

Bank Nifty futures perspective

Recency Bias after Bank Nifty whipsaws 200 points around 55,000 triggers revenge sizing — enforce max daily loss before re-entering MIS.

How to validate

  • Validate Recency Bias tags against time-stamps — impulse entries cluster after losses.
  • Compare P&L on tagged vs untagged sessions over 20+ trading days.
  • Use mentor review to confirm tag definitions stayed consistent.
  • Do not validate solely on one exceptional week of discipline.

How to track in TradeLyser

  • Add psychology grade and Recency Bias-related tag on each trade card.
  • Use daily journal mood line when Recency Bias risk is elevated.
  • Dashboard: count psychology violations per week alongside P&L.
  • Share tag definitions with mentor before monthly review.

Best practices

  • Separate process score from P&L when reviewing Recency Bias.
  • Use cooldown timers after rule breaches involving Recency Bias.
  • Sleep on size increases — never add risk the same day as a Recency Bias violation.
  • Celebrate disciplined losses that followed the plan.

Common pitfalls

  • Labelling trades after the fact to match desired self-image.
  • Increasing size to fix a Recency Bias episode immediately.
  • Confusing a green day with cured Recency Bias behaviour.
  • Skipping tags on “small” impulsive trades.

How to use this in TradeLyser

Weekly review uses month tags; do not change rules from last session alone.

Related terms

FAQ

Recency in strategy selection?

Switching to what worked last week is common failure mode.

News recency on TV?

Log if trade was headline-driven without plan.

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