Quantify the real rupee cost of revenge trading over time. See how impulse trades after losses compound into catastrophic account drawdowns month after month.
Revenge trading — entering impulsive trades after a loss — is one of the leading causes of account blow-up. Quantify the damage before it happens.
Loss that makes you revenge trade
Monthly Revenge Damage
₹2,40,000
Total Damage (12mo)
₹28,80,000
Capital Remaining
BLOWN
Account Drawdown
100.0%
Blows at month 3
Month-by-Month Capital Erosion
Common Revenge Trading Triggers
Missing a "perfect" setup
→ FOMO trade immediately after loss
Large single-day loss
→ Double up to "recover" quickly
Missing profit target by small margin
→ Re-enter the same trade multiple times
Stop-loss hit on a trade that "reversed"
→ Fight the stop, re-enter without new signal
Peer/social media showing big gains
→ Size up dramatically to "catch up"
TradeLyser's journal helps you detect these patterns automatically — before they become expensive habits.
HOW IT WORKS
Input starting capital, the loss amount that triggers revenge trades, and trades per event.
Enter how often trigger events happen per month and the simulation period.
Get monthly revenge loss, total damage, remaining capital, and month-by-month erosion chart.
FAQ
Revenge trading is entering new positions impulsively after a loss, driven by the urge to recover quickly. It is emotional, not analytical — and often leads to bigger losses because it bypasses your trading plan.
Set a daily maximum loss limit and commit to walking away when hit. Take a 15-minute break after any losing trade. Journal every trade — forced reflection reduces impulsive behavior by 60% in studies.
Extremely common. Studies suggest over 70% of retail traders have experienced revenge trading, and it is listed as the #1 behavior leading to account blow-up in SEBI's annual retail investor studies.
Recovery trading uses a systematic plan to rebuild drawdown — smaller size, high-quality setups, following rules. Revenge trading is impulsive, oversized, and emotionally driven. Intent and process determine the difference.
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