What is Self-Attribution Bias?

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 Self-Attribution Bias shows up on Indian index, equity, and futures books — update to live quotes in your journal.

Nifty 50 perspective

Self-Attribution Bias in Trading 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

Self-Attribution Bias in Trading 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

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

How to validate

• Validate Self-Attribution 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 Self-Attribution Bias-related tag on each trade card.
• Use daily journal mood line when Self-Attribution 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 Self-Attribution Bias.
• Use cooldown timers after rule breaches involving Self-Attribution Bias.
• Sleep on size increases — never add risk the same day as a Self-Attribution 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 Self-Attribution Bias episode immediately.
• Confusing a green day with cured Self-Attribution Bias behaviour.
• Skipping tags on “small” impulsive trades.

How to use this in TradeLyser

Force one process mistake tag on winners and one good rule on losers monthly.