Trading Drawdown Visualizer
See the realistic worst-case equity decline your strategy can produce — before you experience it with real money. Visualise three simulated equity paths, the recovery % needed to get back to flat, and the exact ₹ impact of consecutive losing trades on your account at your current position size.
Strategy & Account
= ₹2,000 per trade
Max Drawdown
−11.4%
₹22,881 loss
Avg Drawdown
−8.7%
across 3 paths
Recovery Needed
+12.9%
to get back to flat
Projected Return
+108.8%
mid-path, final equity
All three paths use your exact parameters — the variation comes from different trade sequences (luck). The dashed line is your starting capital. Green = best, amber = mid, red = worst sequence. This range is what you should realistically plan for.
What is this tool & how does it help?
See 3 realistic equity paths, not 1
Two traders with identical strategies can have vastly different equity paths due to trade sequence. Three simulated paths with different random seeds show you the realistic best-case, middle-case, and worst-case — so you're prepared for all of them.
Recovery table: the asymmetry most traders miss
Losses are harder to recover than they appear. A 25% drawdown needs a 33% gain. A 50% drawdown needs 100%. The recovery table translates every drawdown level into rupees lost and the exact % you need to earn back — at your actual account size.
Consecutive loss impact in actual rupees
The Streak Impact tab shows exactly how much capital you lose after 3, 5, 7, or 10 consecutive losses at your current risk per trade — and what % recovery you'd need. This is the calculation most position sizing guides skip.
Find the right risk per trade for your psychology
Move the Risk Per Trade slider and watch the drawdown figures change in real time. This lets you find the risk level where the worst-case outcome is something you can psychologically sustain — before you're in the middle of a losing streak.
Drawdown Recovery Formula
Frequently Asked Questions
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Disclaimer: This tool generates simulated equity curves using a deterministic random model based on your inputs. Results are illustrative — actual trading outcomes depend on strategy execution, market conditions, and other factors not modelled here. This is not trading advice. Past simulated performance does not guarantee future results.