Drawdown Analysis

Euro FX

CU · Mean-Reverting market

A living read of where this market sits in its own 10-year range, because drawdown-from-peak is meaningless for range-bound markets.

Where this market sits today

As of market close on 11/10/2026.

Native phase

Edge low

Position in 10-year range

11.5 / 100

Normalized phase

Severe

Own-history severity percentile

77.1

CU · Drawdown trajectory

Weekly closes of the primary drawdown metric (price_pct_10y) across full market history. Horizontal bands show the phase cuts; the gold marker is today’s reading (11/10/2026).

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Scroll or drag the brush below the chart to zoom. All data from the Market Lab Analytics drawdown atlas.


Time in each phase

Share of this market’s full history spent in each position-in-range band. The 10-year range is rebuilt daily, so these shares are stable: roughly 50% of time in the middle band, 15% in each edge, and the tails taper quickly.

Based on 9,528 daily observations (38 years of history).

Crisis low0 to 2
4.5%(429 days)
Tail low2 to 5
4.8%(456 days)
Extreme low5 to 10
5.8%(549 days)
Edge low10 to 25 You are here
23.9%(2,275 days)
Band-middle25 to 75
39.5%(3,767 days)
Edge high75 to 90
14.2%(1,349 days)
Extreme high90 to 95
3.8%(365 days)
Tail high95 to 98
2.2%(205 days)
Crisis high98 to 100
1.4%(133 days)

The numbers

Every drawdown lens we compute for this market, all at once. The primary drawdown metric (bolded by convention in the card above) is what drives the native phase label; the rest are context.

Drawdown from all-time high-41.49%
Drawdown from 5-year high-10.95%
Drawdown from seasonal high-39.83%
Days since last peak4,827
5-day velocity (pct points)-0.14
Deepest drawdown (last 252d)-41.62%
Ulcer index (252d)38.81
Underwater Volume Index (current episode)123,180 pct·days
UVI percentile (own history)100.0
Realized volatility (20d, ann.)5.6%
Realized vol percentile (own)15.3
σ-drawdown (primary ÷ 20d vol)—
Price position in 10y range11.5 / 100

What historically happens from here

When CU has historically been at today's severity decile, here is what happened next. Means are over daily forward windows; confidence intervals use a 20-day moving-block bootstrap to respect the overlap in overlapping-window returns. Base-rate numbers, not forecasts — the past regime is one sample.

The full 10-decile table below shows the pattern across the market's entire history, so you can see whether forward returns move monotonic-ally with severity or follow a different shape.

Today · Decile 8 · Severity 77%ile

Forward 20-day mean return

-0.01%

95% CI [-0.46, +0.41] · 52% win rate

Forward 60-day mean return

-0.00%

95% CI [-1.03, +0.99] · 49% win rate

Based on 917 prior days where CU was in this severity decile. Green = 95% CI excludes zero on the positive side; red = negative side; grey = indistinguishable from zero.

Decile (sev) N Fwd 20d mean (95% CI) Win rate 20d Fwd 60d mean (95% CI) Win rate 60d
D1 · 0-10%ile 534 +0.59% [+0.07, +1.20] 60% +1.22% [+0.18, +2.69] 65%
D2 · 10-20%ile 606 +0.47% [-0.12, +1.22] 55% +1.36% [-0.02, +3.10] 63%
D3 · 20-30%ile 630 +0.47% [-0.08, +1.30] 50% +0.72% [-0.51, +2.21] 55%
D4 · 30-40%ile 832 -0.23% [-0.74, +0.28] 41% -0.49% [-1.62, +0.64] 37%
D5 · 40-50%ile 871 -0.20% [-0.68, +0.26] 49% +0.02% [-0.90, +0.99] 45%
D6 · 50-60%ile 1,143 -0.15% [-0.58, +0.26] 46% -0.67% [-1.49, +0.05] 43%
D7 · 60-70%ile 1,214 -0.05% [-0.43, +0.34] 49% -0.35% [-1.11, +0.42] 46%
YOU ARE HERE › D8 · 70-80%ile 917 -0.01% [-0.46, +0.41] 52% -0.00% [-1.03, +0.99] 49%
D9 · 80-90%ile 846 +0.01% [-0.55, +0.56] 51% +0.07% [-1.34, +1.35] 49%
D10 · 90-100%ile 1,193 -0.19% [-0.77, +0.31] 44% -0.35% [-1.64, +0.72] 45%

Cross-market drivers

When CU enters its deepest-decile drawdown state, which other markets systematically move with it? Below are the markets whose daily log-returns shift most reliably in the same deep-CU-drawdown window, filtered to those with a 95% confidence interval excluding zero.

Shifts are measured in basis points per day (1 bp = 0.01%). Positive = that market strengthens alongside CU’s deep drawdown. Negative = that market weakens alongside it.

Weakens alongside CU deep drawdowns

CT · Cotton

Daily log-return weakens by -16.6 bps/day when CU is in its deepest-decile drawdown state.

95% CI [-32.7, -4.6] bps/day

PA · Palladium

Daily log-return weakens by -14.0 bps/day when CU is in its deepest-decile drawdown state.

95% CI [-26.0, -2.7] bps/day

NQ · E-mini Nasdaq-100

Daily log-return weakens by -9.9 bps/day when CU is in its deepest-decile drawdown state.

95% CI [-17.1, -4.1] bps/day

MW · Wheat (Minneapolis)

Daily log-return weakens by -7.6 bps/day when CU is in its deepest-decile drawdown state.

95% CI [-13.3, -2.2] bps/day

HG · Copper

Daily log-return weakens by -6.3 bps/day when CU is in its deepest-decile drawdown state.

95% CI [-12.4, -0.2] bps/day

Strengthens alongside CU deep drawdowns

None with statistically significant shift.

How we think about drawdown

Drawdown math is not a one-size-fits-all formula. The same equation that honestly describes the S&P 500 is actively misleading for corn, and both of those break for the Dollar Index. So Market Lab Analytics computes drawdown three ways and chooses the one that fits each market’s nature.

For mean-reverting markets we do not use drawdown-from-peak at all. The primary metric is position in the trailing 10-year range, scored from 0 (at the 10-year low) to 100 (at the 10-year high). Volatility products, FX, and rate futures oscillate around a mean with no secular trend; drawdown-from-peak would be actively misleading.

Two complementary pain-over-time metrics appear in the Numbers grid above: the ulcer index (Peter Martin, 1987; root-mean-square of drawdown over a trailing window, emphasizes deep drops) and the Underwater Volume Index (Dstendahl; linear integral of |dd| over the current episode, weighs long shallow bleeds on equal footing with short deep ones). A -5% drawdown that drags on for years can produce a larger UVI than a -20% drawdown that resolves in weeks; ulcer ranks the second more painful. Both lenses are honest.

Every reading on this page is anchored in real market data. The phase labels are computed from the market’s own full history. The cross-market drivers are measured with block-bootstrap confidence intervals so only statistically distinguishable shifts are surfaced. If a number is on this page, you can trace it back to the data that produced it.

Read more about how Market Lab Analytics works ›