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GoldObserve

ACTUAL ENDPOINTS / RANKED TAILS / MONTHLY-AVERAGE LIMITS

Best and Worst Months for Gold

Audit the largest adjacent monthly-average gold gains and losses without mistaking historical extremes for future targets.

THE SHORT ANSWER

Gold's extreme monthly-average moves are real observations, not reusable targets

The largest adjacent monthly-average gain in the local World Bank history ends 1980-01 at +48.35%; the largest decline ends 1980-03 at -16.69%. Both are smoothed monthly-average changes. They identify historical tail events but do not reveal the worst daily path, a price target or the expected size of a future move.

LARGEST GAIN+48.35%

1979-12 to 1980-01.

LARGEST LOSS-16.69%

1980-02 to 1980-03.

OBSERVATIONS RANKED798

Strict adjacent-month comparisons.

EXCLUDEDIntramonth extremes

Monthly averages smooth the daily path.

EXTREME-MONTH TIME ATLAS

Did the largest gains and losses cluster in a few historical periods?

Choose five, ten or fifteen observations on each side, then inspect where the ending months fall inside each decade. Circle and diamond shapes preserve gain/loss meaning without relying on colour, while mark size shows absolute change.

TAIL DEPTH15 gains + 15 losses
SELECTED EVENT1980-01 · +48.35%

Gain rank 1: $455.00$675.00.

MOST REPRESENTED DECADE1970s · 14 events

11 gains and 3 losses at this tail depth.

TIME COVERAGE6 of 7 decades

2020s exposure is partial through 2026-07.

month 0month 24month 48month 72month 96month 1191960s11970s141980s111990s12000s22010s02020s1Each row restarts at January of its decadeRight labels count selected events
Gain tail Loss tailMark size encodes absolute change

How to read it: horizontal position is the ending month inside each decade, not a shared calendar date. Concentration can identify periods worth investigating, but it does not estimate recurrence. The shorter 2020s row has fewer opportunities to enter a fixed-rank tail.

15 largest gains and 15 largest losses, ordered by ending month. The highlighted row matches the chart selection.
End monthSide / rankStart valueEnd valueChangeDecade position
1969-11Loss #14$40.00$37.00-7.50%1960s · month 118
1972-05Gain #15$49.00$55.00+12.24%1970s · month 28
1972-06Gain #13$55.00$62.00+12.73%1970s · month 29
1973-02Gain #11$65.00$74.00+13.85%1970s · month 37
1973-03Gain #12$74.00$84.00+13.51%1970s · month 38
1973-06Gain #5$102.00$120.00+17.65%1970s · month 41
1973-08Loss #8$120.00$107.00-10.83%1970s · month 43
1973-12Gain #14$95.00$107.00+12.63%1970s · month 47
1974-01Gain #2$107.00$129.00+20.56%1970s · month 48
1974-02Gain #8$129.00$150.00+16.28%1970s · month 49
1974-11Gain #10$159.00$182.00+14.47%1970s · month 58
1975-09Loss #6$163.00$144.00-11.66%1970s · month 68
1978-11Loss #11$227.00$206.00-9.25%1970s · month 106
1979-09Gain #4$301.00$355.00+17.94%1970s · month 116
1979-12Gain #9$392.00$455.00+16.07%1970s · month 119
1980-01Gain #1$455.00$675.00+48.35%1980s · month 0
1980-03Loss #1$665.00$554.00-16.69%1980s · month 2
1980-06Gain #7$514.00$601.00+16.93%1980s · month 5
1980-12Loss #3$625.00$538.00-13.92%1980s · month 11
1981-02Loss #10$557.00$500.00-10.23%1980s · month 13
1981-07Loss #7$461.00$409.00-11.28%1980s · month 18
1982-03Loss #4$374.00$330.00-11.76%1980s · month 26
1982-09Gain #3$364.00$437.00+20.05%1980s · month 32
1983-03Loss #2$491.00$420.00-14.46%1980s · month 38
1984-07Loss #12$378.00$348.00-7.94%1980s · month 54
1988-02Loss #15$477.00$442.00-7.34%1980s · month 97
1999-10Gain #6$265.00$311.00+17.36%1990s · month 117
2006-06Loss #5$675.00$596.00-11.70%2000s · month 77
2008-08Loss #9$940.00$839.00-10.74%2000s · month 103
2026-06Loss #13$4,587.00$4,228.00-7.83%2020s · month 77

INTERACTIVE MONTHLY PATH

Locate tail events inside the complete chronology

Choose the recent 20 years, 40 years or all available history, then inspect exact monthly-average changes with pointer, touch or keyboard crosshairs. A dramatic point should be read alongside its date and source definition.

LOCAL LICENSED HISTORY

Monthly-average gold return

FIRST OBSERVATION1960-02+0.00%
LATEST OBSERVATION2026-07-3.67%
LOWEST-16.69%Inside the selected sample
HIGHEST+48.35%Inside the selected sample
1960-021993-052026-07
Observation2026-07
Monthly-average gold return-3.67%
Series basisMonthly averages

Crosshairs snap to a calculated observation. Monthly averages smooth intramonth highs, lows and drawdowns; this chart is not a daily close series. Historical windows overlap and are not independent forecasts.

This export contains GoldObserve-derived or source-cleared observations with citation metadata.

Source: World Bank Commodity Price Data (The Pink Sheet), monthly nominal USD per troy ounce, CC BY 4.0. GoldObserve serves the bundled local series; page loads do not download the upstream workbook.

LARGEST GAINS

Top 15 adjacent monthly-average increases

Ranked nominal USD monthly-average changes. Start and end are World Bank monthly averages, not executable fills.
RankStart monthEnd monthStart averageEnd averageChange
11979-121980-01$455.00$675.00+48.35%
21973-121974-01$107.00$129.00+20.56%
31982-081982-09$364.00$437.00+20.05%
41979-081979-09$301.00$355.00+17.94%
51973-051973-06$102.00$120.00+17.65%
61999-091999-10$265.00$311.00+17.36%
71980-051980-06$514.00$601.00+16.93%
81974-011974-02$129.00$150.00+16.28%
91979-111979-12$392.00$455.00+16.07%
101974-101974-11$159.00$182.00+14.47%
111973-011973-02$65.00$74.00+13.85%
121973-021973-03$74.00$84.00+13.51%
131972-051972-06$55.00$62.00+12.73%
141973-111973-12$95.00$107.00+12.63%
151972-041972-05$49.00$55.00+12.24%

LARGEST LOSSES

Top 15 adjacent monthly-average declines

Losses use the same source, interval and formula as the gain table. A negative sign is retained.
RankStart monthEnd monthStart averageEnd averageChange
11980-021980-03$665.00$554.00-16.69%
21983-021983-03$491.00$420.00-14.46%
31980-111980-12$625.00$538.00-13.92%
41982-021982-03$374.00$330.00-11.76%
52006-052006-06$675.00$596.00-11.70%
61975-081975-09$163.00$144.00-11.66%
71981-061981-07$461.00$409.00-11.28%
81973-071973-08$120.00$107.00-10.83%
92008-072008-08$940.00$839.00-10.74%
101981-011981-02$557.00$500.00-10.23%
111978-101978-11$227.00$206.00-9.25%
121984-061984-07$378.00$348.00-7.94%
132026-052026-06$4,587.00$4,228.00-7.83%
141969-101969-11$40.00$37.00-7.50%
151988-011988-02$477.00$442.00-7.34%

READING EXTREMES

A ranked tail table cannot explain its own cause

An extreme month can coincide with inflation shocks, changing real rates, currency moves, war, financial stress, policy changes, investment flows or market-structure transitions. Coincidence alone is not an independent causal estimate. A responsible explanation matches source dates, asks what was known at the time and checks whether several drivers moved together.

Extremes are also asymmetric in recovery math. A 20% loss requires a 25% gain from the lower base to return to the starting level. The gold drawdown history follows that path across multiple months instead of stopping at the single worst row.

Source, formula and limitsWorld Bank monthly history · CC BY 4.0

SOURCE, LICENSE & REPRODUCIBILITY

Every result uses one consistent monthly series

The source is the World Bank Commodity Price Data (The Pink Sheet), licensed CC BY 4.0. It contains 799 monthly gold averages from 1960-01 through 2026-07. The workbook was published 2026-08-04, retrieved 2026-08-07, and recorded with SHA-256 7902a77505ebdc5d202ce65f666c2ee1b04b626f042d7738ed3e6f7d112c8433.

Monthly change = (current monthly average / prior monthly average - 1) × 100. Only adjacent calendar months are used. The result is not a daily close return, intramonth high or low, dealer quote or exact investor fill.

CONTINUE THE RESEARCH

Move from calendar grouping to tails, distribution and holding periods

FREQUENTLY ASKED QUESTIONS

Questions about monthly gold-return evidence

What is the best gold month in this history?

The page ranks consecutive World Bank monthly-average changes. The top row is the largest percentage increase between two adjacent monthly averages, not necessarily the best daily month-end return.

What is the worst gold month in this history?

It is the largest adjacent monthly-average percentage decline in the local series. Intramonth prices may have fallen further than the smoothed averages show.

Do extreme months repeat?

They can, but this table does not estimate when or how often another tail event will occur. The political, inflation, rate and currency setting changes.

Why show the starting and ending price?

The endpoints make the percentage calculation auditable and prevent a large percentage from being detached from its actual source values.

Do these extremes include premiums and spreads?

No. They are benchmark monthly-average changes before any physical-product, fund, tax, financing or custody cost.