The ratio is just division: the gold price divided by the silver price. It is not a forecast, a fair-value estimate, or a technical indicator with known thresholds — despite how often it gets discussed that way. When it rises, gold has gained relative to silver, or silver has fallen relative to gold, or some mix of both. When it falls, as it has over the last twelve months, silver has done comparatively better.
That last point matters because gold and silver usually move in the same direction on any given day. MacroGold's correlation data shows gold's daily moves have tracked silver's with a coefficient of 0.81 over the past 21 trading days, 0.69 over 63 days, and 0.68 over a full year. In plain terms, on most days both metals rise or fall together — the ratio only captures the part of the story where one moves further than the other.
The sampled history of the ratio since 2019 shows it has spent most of its time in a fairly wide band, punctuated by two sharp extremes.
| Date | Ratio (oz silver per oz gold) | Context from the data |
|---|---|---|
| 2020-04-06 | 110.98 | Height of the COVID market shock; a sampled snapshot, not necessarily the exact peak |
| 2021-03-19 | 66.24 | Cycle low as markets reopened and industrial demand recovered |
| 2025-04-08 | 101.05 | Local high in the current cycle |
| 2025-12-23 | 63.92 | Sharp decline under way |
| 2026-06-17 | 61.98 | Low point of the recent collapse |
| 2026-10-13 | 69.36 | Current level, up from the June low |
Read this table as a sequence of regime markers, not a trading chart: each row is a sampled point from MacroGold's historical series (which stores roughly 60 points across the lookback window, not every trading day), so the exact highs and lows between these dates may differ slightly. What it shows clearly is the shape — a spike above 100 during an acute stress episode, a multi-decade-style low in the 60s roughly a year later, and the ratio now sitting roughly in between.
Between April 2025 and June 2026, the ratio fell by roughly 39%, moving from just above 101 to just under 62. A few things were happening in the data at the same time as that decline, without claiming any of them caused it.
First, gold itself has been in a corrective phase. As of October 13, 2026, gold trades at $4,185.41, which is 22.56% below its one-year high of $5,405 and sits in just the 16th percentile of its own one-year trading range. Its 50-day moving average has crossed below its 200-day moving average — a pattern sometimes called a "death cross" — and the trend is described in MacroGold's own market overview as "confirmed bearish."
Second, broader risk appetite stayed calm rather than fearful. The VIX, a measure of expected S&P 500 volatility, was at 15.33 on October 13, 2026 — in just the 17th percentile of its past year, meaning volatility has mostly been lower, not higher, than this reading over the last twelve months. The S&P 500 itself was up 19.15% over the trailing year and sitting at the 98.8th percentile of its own one-year range. Mining shares, which tend to carry more operating leverage to metal prices than gold itself, also outperformed gold by 13.66% over the year, placing the miners-to-gold ratio in the 97th percentile of its five-year range.
Third, one indicator moved in the opposite direction: the high-yield credit spread — a gauge of how much extra yield investors demand to hold riskier corporate bonds over safer government debt — widened to 3.15 percentage points by October 8, 2026, up 48 basis points over the prior month and sitting at the 90th percentile of its one-year range. That is normally read as a sign of rising credit stress, which sits awkwardly next to calm equity volatility and a falling gold-to-silver ratio. The data does not resolve that tension; it simply shows both things were true at once.
Put together, the backdrop behind the ratio's decline looked more like a broad, risk-tolerant market with strong equities and strong mining shares than a classic flight-to-safety episode. Silver carries a meaningful industrial-demand component — electronics, solar panels — and its correlation with copper, a pure industrial metal, has run between 0.41 and 0.50 across different time windows this year, noticeably higher than gold's own correlation with copper over the same periods. That is consistent with silver's recent relative strength reflecting industrial and reflationary demand, but the correlation data alone cannot distinguish industrial demand from other explanations, such as silver simply being a smaller, more volatile market that moves further in either direction.
Here is the part worth sitting with: the current ratio of 69.36 is in the 74.6th percentile of its own past year, but only the 14.9th percentile of the past five years. The same number can look "elevated" or "depressed" depending entirely on which window you choose. That is a structural feature of ratios, not a flaw in this one — it is why a single reading tells you almost nothing about what comes next.
This is also why MacroGold does not treat the ratio as a signal to act on. Our own backtests have found no measurable, repeatable edge in using gold-to-silver ratio extremes to time entries or exits in either metal. The ratio is useful as a description — it tells you something about whether the gold complex is currently being driven more by safe-haven demand (ratio rising, as in the 2020 shock) or by broader risk-taking and industrial demand (ratio falling, as over the past year). It does not tell you where the ratio, gold, or silver goes from here, and nothing in the data supports treating a given level as a buy or sell trigger for either metal.
The gold-to-silver ratio is a relative-value snapshot: it says silver has strengthened against gold over the past year, and that this coincided with calm volatility, strong equities, and strong mining shares, alongside a notable widening in credit spreads that complicates any single-story explanation. What the data does not show is causation, and it does not show what happens next — percentile rankings flip depending on the lookback period, and MacroGold's own testing found no reliable timing signal in ratio extremes. Readers who want to see how this ratio and its underlying drivers move around specific macro events, such as central bank rate decisions or inflation releases, can track the schedule at https://macrogold.ca/calendar. The honest summary is narrower than the popular one: the ratio describes a regime, and regimes change for reasons this single number cannot forecast.
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