Complete Analysis · 15 Years of Market History

AUD/CHF Complete
Statistics & Probabilities

Comprehensive data insights from 4,000 trading days spanning 15 years of market history. Dataset covers 2008–2023 across daily, weekly, and monthly timeframes.

Updated 04 Apr 2026 n = 4,000 days 2008–2023
Dual SNB Events — September 2011 & January 2015

AUD/CHF contains both major SNB policy shocks: the +8.16% surge on 06 Sep 2011 (SNB sets 1.20 EUR/CHF floor, causing widespread CHF weakness), and the −20.50% crash on 15 Jan 2015 (SNB removes the floor, triggering catastrophic CHF strength). Despite these extremes, the kurtosis of 3.07 is near-normal — a function of the 4,000-day sample absorbing both events. The −20.50% move remains the largest single-day loss of any pair in the SFD dataset by a wide margin.

Sample
4,000
Total trading days
Weekly
1,229
Total weeks analysed
Monthly
273
Total months in dataset
Coverage
15
Years of price history
Market Direction

Daily Close Bias

50.2% Bullish
49.0% Bearish
2,007 days 1,960 days
🟢 Bullish Day Structure 2,007 days
Higher High 67.76%
Higher Low 70.75%
Lower High 30.94%
Lower Low 27.86%
🔴 Bearish Day Structure 1,960 days
Lower High 70.46%
Lower Low 69.55%
Higher Low 29.68%
Higher High 28.06%
15-Year Distribution

Bull vs Bear Day Split

4,000 days
🟢 Bullish closes 50.2%
2,007
days out of 4,000
🔴 Bearish closes 49.0%
1,960
days out of 4,000
📅 Weekly / Monthly bias 50.9% / 50.9%
Consistent mild bullish lean: 626 bullish weeks vs 603 bearish (50.9%), and 139 bullish months vs 134 bearish (50.9%).
Dataset Overview

Historical Data Range

Start of range
14 Apr 2008
End of range
01 Jan 2023
Highest close
1.03350
10 Aug 2012
Lowest close
0.55840
18 Mar 2020
Largest gain
+8.16%
06 Sep 2011 · SNB floor set
Largest loss
−20.50%
15 Jan 2015 · SNB unpeg
Avg daily volume
92,074
Peak volume day
2,189,431
10 Oct 2012
Statistical Distribution

Volatility Statistics

Daily returns · 4,000 obs.
0.004%
Mean
0.000%
Median
0.58%
Std Dev
0.007%
Std Error
3.07
Kurtosis
+0.14
Skewness
+3.36%
Max Gain*
−3.93%
Max Loss*

Return distribution: near-normal (kurtosis 3.07) despite containing the −20.50% SNB flash crash. *Max Gain/Loss shown are the largest typical moves within the visible range — the +8.16% SNB floor gain and −20.50% unpeg crash fall well outside this chart's bounds. 7.29% typical price change range over 15 years.

Observations

Key Trading Insights

Near-Perfect Balance

50.2% bullish vs 49.0% bearish

AUD/CHF has the closest-to-even daily close split of any pair in the SFD library — a 1.2 percentage point gap over 15 years. The mild bullish lean persists identically on weekly (50.9%) and monthly (50.9%) timeframes, suggesting a small but consistent structural edge.

Bullish Momentum

70.75% higher lows on up days

On bullish days, over 7 in 10 sessions hold a higher low — strong intraday support structure. The 67.76% higher-high rate confirms that when AUD/CHF trends up in a day, it does so with consistent momentum rather than volatile whipsawing.

Bearish Control

70.46% lower highs on down days

Bearish sessions are equally decisive — sellers cap rallies on 70.46% of red days, with 69.55% also printing a lower low. AUD/CHF trends cleanly in both directions, making it well-suited to intraday directional strategies once a session bias is established.

Largest Loss in SFD

−20.50% on 15 Jan 2015 — record crash

The SNB's January 2015 unpeg produced a −20.50% single-day collapse in AUD/CHF — the largest single-day percentage loss of any pair in the entire SFD dataset. This dwarfs even EUR/CHF's −23.19% in percentage terms relative to the pair's price level. AUD's commodity vulnerability compounded CHF's safe-haven surge.

SNB-Dominated Extremes

Both tails driven by the same bank

Like EUR/CHF, both of AUD/CHF's most extreme daily moves were caused by the SNB — the +8.16% surge (Sep 2011, floor set) and the −20.50% crash (Jan 2015, floor removed). No pair in the SFD library is more dominated by a single central bank's decisions across both tails.

Near-Normal Distribution

Kurtosis 3.07 despite extreme outliers

Remarkably, AUD/CHF's kurtosis sits at 3.07 (essentially normal) despite containing a −20.50% daily crash. This reflects the large enough 4,000-day sample diluting even this extreme outlier. The pair's typical day-to-day behaviour is well-described by a normal distribution — tail risk is real but rare.

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