Understand the evidence. Check the limits. Explore the right tool.
Gold seasonality: read the pattern, check the sample
Wondering whether the time of year matters for gold? Start with the monthly pattern below, then check how much the years differed. An average can help you ask better questions; it cannot tell you what happens next.
A reproducible weekly research report for 14 Sept 2026–19 Sept 2026: 315 stored events, 13 high-impact observations, and a careful framework for translating surprises into bullion checks.
One conversion, three components (₹/10 g) · ₹/10 g
Component
Value
Minimum
Maximum
Scenarios
Converted gold
86,807.02
—
—
1
Assumed costs
5,000
—
—
1
Example total
91,807.02
—
—
1
Gold = converted gold · Costs = assumed local costs · Total = gold + costs
Illustrative inputs only: $3,000 per troy ounce × ₹90 per dollar × 10 ÷ 31.1034768 = ₹86,807.02 per 10 g. Add an assumed ₹5,000 of local costs: ₹91,807.02. Neither amount is a current market quote.
Method, sources and limitations
Convert the hypothetical USD/troy-ounce reference into INR/10 g using USDINR and 31.1034768 grams per troy ounce. Add a hypothetical absolute cost allowance; do not infer any current duty or tax rate from it.
All price, FX and cost inputs are teaching assumptions, not current observations.
The ₹5,000 cost allowance is not a customs-duty calculation. Verify current official rates, purity, assessable value, contract month, taxes, freight and timestamps for a real comparison.
The three bars show components and the resulting total; they must not be added together. Import parity is a reference, not an executable quote or trading signal.
Reviewed: 2026-09-14. Unit factor checked against NIST; conversion and addition checked independently with integer-ratio arithmetic in the editorial tests.
A practical COMEX to MCX calculator guide: convert global gold through USDINR and landed-cost assumptions, then read the MCX premium, discount, and import-parity basis.
2018-01-01 – 2025-12-31 · INR · Fixed research snapshot
Chart data is available in the table below.
Average monthly change (INR) · %
Period
Mean
Minimum
Maximum
Observations
Jan
2.18
-2.42
6.17
8
Feb
-0.38
-5.89
6.84
8
Mar
2.57
-2.23
9.91
8
Apr
1.1
-3.42
4.36
8
May
1.54
-1.81
5.51
8
Jun
-0.19
-5.05
5.7
8
Jul
2.26
-2.35
10.76
8
Aug
1.37
-2.9
9.86
8
Sept
0.5
-5.13
12.07
8
Oct
2.91
-0.29
8.31
8
Nov
-0.37
-5.96
4.93
8
Dec
2.98
-0.57
4.6
8
Eight observations per month (2018–2025). Every month included a negative outcome.
Method, sources and limitations
Within each calendar month: (last available reference / first available reference − 1) × 100. The monthly mean weights each of the eight years equally; this is not prior-month-close total return.
Not an MCX contract, executable quote or forecast. Reference history may combine providers and a futures proxy.
Eight observations do not establish statistical reliability. Costs, taxes, rolls and execution are excluded.
Some daily records are missing. Only months with at least 15 available daily records are included.
Reviewed: 2026-09-14. JavaScript first/last independently matched SQL for every monthly observation
Gold seasonality is the study of recurring historical behavior by month or event window. Useful research checks tendency, consistency, sample size, macro context, and the difference between bullion and gold-stock seasonality.
Updated
Read the study →AI-generated editorial illustration · not market data
A reproducible weekly research report for 7 Sept 2026–12 Sept 2026: 274 stored events, 16 high-impact observations, and a careful framework for translating surprises into bullion checks.
Updated
Read the study →AI-generated editorial illustration · not market data
A reproducible weekly research report for 31 Aug 2026–5 Sept 2026: 347 stored events, 19 high-impact observations, and a careful framework for translating surprises into bullion checks.
Updated
Read the study →AI-generated editorial illustration · not market data
A reproducible weekly research report for 24 Aug 2026–29 Aug 2026: 245 stored events, 11 high-impact observations, and a careful framework for translating surprises into bullion checks.
Updated
Read the study →AI-generated editorial illustration · not market data
A reproducible weekly research report for 17 Aug 2026–22 Aug 2026: 277 stored events, 11 high-impact observations, and a careful framework for translating surprises into bullion checks.
Updated
Read the study →AI-generated editorial illustration · not market data
A reproducible weekly research report for 10 Aug 2026–15 Aug 2026: 265 stored events, 17 high-impact observations, and a careful framework for translating surprises into bullion checks.
Updated
Read the study →AI-generated editorial illustration · not market data
A reproducible weekly research report for 3 Aug 2026–8 Aug 2026: 285 stored events, 14 high-impact observations, and a careful framework for translating surprises into bullion checks.
Updated
Read the study →AI-generated editorial illustration · not market data
A visual research page that explains the import parity spread, why MCX can trade rich or cheap, and how to move from one fair-value print into a repeatable desk workflow.