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Back To GBP/JPY Datasets
Complete Analysis · 23 Years of Market History

GBP/JPY Complete
Statistics & Probabilities

Comprehensive data insights from 5,730 trading days spanning 23 years of market history. Dataset covers 2001–2023 across daily, weekly, and monthly timeframes.

Updated 02 Apr 2026 n = 5,730 days 2001–2023
Sample
5,730
Total trading days
Weekly
1,231
Total weeks analysed
Monthly
284
Total months in dataset
Coverage
23
Years of price history
Market Direction

Daily Close Bias

51.4% Bullish
48.5% Bearish
2,941 days 2,771 days
🟢 Bullish Day Structure 2,971 days
Higher High 69.50% 2,044 days
Higher Low 74.40% 2,188 days
Lower High 30.30% 891 days
Lower Low 25.13% 739 days
🔴 Bearish Day Structure 3,183 days
Lower High 71.63% 1,985 days
Lower Low 67.05% 1,858 days
Higher Low 32.80% 909 days
Higher High 27.93% 774 days
23-Year Distribution

Bull vs Bear Day Split

5,730 days
🟢 Bullish closes 51.4%
2,941
days out of 5,730
🔴 Bearish closes 48.5%
2,771
days out of 5,730
📅 Weekly / Monthly bias 52.2% / 56.3%
Weekly: 642 bullish vs 589 bearish (52.2%). Monthly: 160 bullish vs 124 bearish (56.3%) — a notable long-term bullish lean.
Dataset Overview

Historical Data Range

Start of range
27 Aug 2001
End of range
11 Aug 2023
Lowest close
116.929
22 Sep 2011
Avg daily volume
211,754
Largest gain
+7.34%
28 Oct 2008
Largest loss
−12.83%
24 Jun 2016
Peak volume day
1,092,646
07 Jun 2013
Lowest volume day
6,052
01 Jan 2018
Statistical Distribution

Volatility Statistics

Daily returns · 5,730 obs.
0.006%
Mean
0.013%
Median
0.76%
Std Dev
0.010%
Std Error
8.00
Kurtosis
−0.18
Skewness
+8.03%
Max Gain
−5.36%
Max Loss

Return distribution: slightly left-skewed (−0.18) with pronounced fat tails (kurtosis 8.00 — driven by the June 2016 Brexit flash crash of −12.83%). 13.40% total price change range over 23 years.

Observations

Key Trading Insights

Slight Bullish Bias

51.4% bullish vs 48.5% bearish

GBP/JPY shows a narrow but consistent bullish daily close bias across 23 years — amplified significantly on the monthly timeframe where 56.3% of months close green.

Bullish Momentum

74.40% higher lows on up days

On bullish days, nearly 3 in 4 sessions hold a higher low — the strongest intraday support-holding rate in the SFD major pairs dataset.

Bearish Conviction

71.63% lower highs on down days

Sellers cap price decisively — on 71.63% of bearish days, GBP/JPY fails to reclaim the prior day's high, confirming clean downside structure.

Monthly Bullish Lean

56.3% of months close bullish

160 bullish vs 124 bearish months over 23 years — the strongest monthly directional edge among the pairs in the SFD dataset. Position traders take note.

Brexit Risk Event

−12.83% in a single day (Jun 2016)

The Brexit referendum result produced the largest single-day loss in the dataset. Kurtosis of 8.00 reflects this extreme tail event — GBP/JPY carries elevated gap risk around macro catalysts.

High Volatility Pair

0.76% daily std dev — widest in G10

GBP/JPY's standard deviation of 0.76% per day is the highest among tracked pairs, driven by the compounding of GBP volatility with JPY carry dynamics. Not a pair for tight stops.

Data Library

Explore Related GBP/JPY Data

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Daily Close Probability Calendar

Month-by-month calendar view of GBP/JPY daily close probabilities broken down by day of week and date.

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Bullish Streak Probabilities

Continuation and reversal odds after consecutive bullish closes on GBP/JPY daily candles.

Daily · Data Viewer View →
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Higher High Streak Probabilities

Frequency and reversal probability of consecutive daily higher highs forming on GBP/JPY.

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Lower Low Streak Probabilities

Frequency and reversal probability of consecutive daily lower lows forming on GBP/JPY.

Daily · Data Viewer View →
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Open – Close Range Probabilities

How far from the daily open price closes on bullish and bearish days — range percentile distributions for GBP/JPY.

Daily · Data Viewer View →
Data Hub

GBP/JPY Data Hub

The full GBP/JPY dataset library — streaks, ranges, calendars, and key statistics in one place.

All GBP/JPY datasets View All →
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