Most useful when
Max Drawdown (3y) is most useful when downside risk, setback depth, or path smoothness matter more than top-line return.
Metric detail
Ranking viewMax Drawdown (3y)
Worst peak-to-trough drop within the last ~3 years
Metric ranking
Metric ranking
See which assets currently stand out on this metric.
Top Assets
- -0.6 %
- -0.7 %
- -0.7 %
- -0.7 %
- -1.9 %
- -2.1 %
- -3.2 %
- -5.2 %
- -6.4 %
- -6.9 %
Bottom Assets
- -97.0 %
- -97.0 %
- -97.4 %
- -97.5 %
- -97.6 %
- -97.7 %
- -97.8 %
- -97.9 %
- -98.1 %
- -98.3 %
Assets with missing values are hidden. · Top Assets · 25 Entries · Bottom Assets · 25 Entries
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When to use this metric
Use this metric to read one signal clearly.
Read the explanation first. Then use the ranking to compare the signal across assets.
What it helps you see
This lens shows where apparent strength can hide fragile risk behavior and where resilience is actually visible in the data path.
Why it changes the ranking view
Use it when you need to know whether a good headline result was achieved with controlled risk or with a path that is too unstable to trust.
What to open next
Review the methodology first, then use the ranking to compare which assets currently handle downside pressure best on this metric.
Metric explainer
Read the definition, sources, calculation, and interpretation after the ranking above.
Description
Max drawdown (3y) shows the largest decline within roughly the last 3 years: from a local peak to the subsequent low.
That makes the metric less dominated by very old history and therefore fairer across assets than an all-time value.
As with all drawdowns: the value is negative. Less negative means the worst drop was milder.
Source
Calculation
- 1) H_t = max(Price_{t-3y..t})
- 2) DD_t = (Price_t / H_t) − 1
- 3) maxdd_3y = min(DD_t)
Interpretation
- Less negative is better (closer to 0).