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Drawdown Forensics reconstructs every losing streak in your trade history from the equity curve and the trades that created it. Instead of looking at a drawdown as a single event — “I lost 8% in March” — you see the exact sequence of trades responsible, the point where it started, and the point where it ended. The goal is to find the pattern before it becomes a habit.

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What each drawdown episode shows

Every episode in the list represents one continuous peak-to-trough move in your equity curve. Selecting an episode reveals:
  • Peak-to-trough depth: The total dollar amount lost from the highest point before the drawdown to the lowest point during it
  • Duration: How many calendar days elapsed between the peak and the recovery
  • Trade count: How many trades occurred during the drawdown window
  • Trade-by-trade breakdown: Every trade in chronological order, showing symbol, P&L, setup tag, entry time, and any emotional tags attached
The first trade in the list is the one that ended the prior peak. The last trade is the one that returned equity to a new high — or, for open drawdowns, the most recent trade in your log.

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How to use Drawdown Forensics

1

Navigate to Analytics → Drawdown

Open the Analytics section from the sidebar and select the Drawdown tab. Episodes are sorted by depth, largest first.
2

Select a drawdown episode

Click any episode to expand it. Start with your two or three largest drawdowns — these have the most impact on your overall performance curve.
3

Review the trade-by-trade breakdown

Scroll through the trades in sequence. Pay attention to the point where the drawdown accelerated — a cluster of losses in a short window often indicates a behavioral shift, not just bad luck.
4

Look for shared patterns

Check whether the trades share a setup tag, fall in the same hour of day, or carry the same emotional tags such as “revenge” or “oversize.” A pattern across two or more drawdown episodes is a rule waiting to be written.

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What patterns to look for

PatternWhat it suggests
Same setup tag across multiple drawdownsThe setup underperforms under certain market conditions — consider a rule to reduce size after two consecutive losses on it
Same hour of dayYour worst trading happens in a specific window — cross-reference with the Hour-of-Day Heatmap
Increasing position size through the drawdownYou’re averaging down or revenge trading — a common escalation pattern
Cluster of emotional tags like “revenge” or “overtrading”The behavioral component is driving the loss, not the setup itself
If your largest drawdowns share a common pattern — the same setup tag, the same trading hour, or the same emotional state — that is a direct signal to add a rule in Goals to restrict that behavior. Drawdown Forensics identifies the problem; Goals is where you enforce the fix.