SGLN.L vs. STRD
SGLN.L (iShares Physical Gold ETC) is Gold fund tracking the LBMA Gold Price, while STRD (MicroStrategy Incorporated) is a stock. At a 0.01 correlation, their price movements are largely independent.
Performance
SGLN.L vs. STRD - Performance Comparison
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Different Trading Currencies
SGLN.L is traded in GBp, while STRD is traded in USD. To make them comparable, the STRD values have been converted to GBp using the latest available exchange rates.
Returns By Period
SGLN.L
- 1D
- 2.90%
- 1M
- -7.78%
- YTD
- -1.83%
- 6M
- -1.90%
- 1Y
- 24.78%
- 3Y*
- 26.65%
- 5Y*
- 18.64%
- 10Y*
- 13.01%
STRD
- 1D
- 0.66%
- 1M
- —
- YTD
- —
- 6M
- —
- 1Y
- —
- 3Y*
- —
- 5Y*
- —
- 10Y*
- —
SGLN.L vs. STRD - Yearly Performance Comparison
| 2026 (YTD) | |
|---|---|
SGLN.L iShares Physical Gold ETC | -4.80% |
STRD MicroStrategy Incorporated | -1.76% |
Correlation
The correlation between SGLN.L and STRD is 0.01, meaning there is essentially no relationship between their price movements. Each responds to its own set of market drivers, making them strong candidates for combining in a diversified portfolio.
| Correlation | |
|---|---|
Correlation (All Time) Calculated using the full available price history since May 28, 2026 | 0.01 |
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Return for Risk
SGLN.L vs. STRD — Risk / Return Rank
SGLN.L
STRD
Risk / return metrics aren't available yet — we need at least 12 months of trading data to calculate them.
SGLN.L vs. STRD - Risk-Adjusted Trends Comparison
This table presents a comparison of risk-adjusted performance metrics for iShares Physical Gold ETC (SGLN.L) and MicroStrategy Incorporated (STRD). Risk-adjusted metrics are performance indicators that assess an investment's returns in relation to its risk, enabling a more accurate comparison of different investment options.
Values are calculated on a 1-year rolling basis and updated daily. Risk-adjusted metrics are more stable over longer periods — use the period switch above to explore them.
| SGLN.L | STRD | Difference | |
|---|---|---|---|
| Sharpe ratioReturn per unit of total volatility | — | — | |
| Sortino ratioReturn per unit of downside risk | — | — | |
| Omega ratioGain probability vs. loss probability | 1.22 | — | — |
| Calmar ratioReturn relative to maximum drawdown | 1.13 | — | — |
| Martin ratioReturn relative to average drawdown | 3.51 | — | — |
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Drawdowns
SGLN.L vs. STRD - Drawdown Comparison
The maximum SGLN.L drawdown since its inception was -53.23%, which is greater than STRD's maximum drawdown of -6.52%. Use the drawdown chart below to compare losses from any high point for SGLN.L and STRD.
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Drawdown Indicators
| SGLN.L | STRD | Difference | |
|---|---|---|---|
Max DrawdownLargest peak-to-trough decline | -53.23% | -6.52% | -46.71% |
Max Drawdown (1Y)Largest decline over 1 year | -22.87% | — | — |
Max Drawdown (3Y)Largest decline over 3 years | -22.87% | — | — |
Max Drawdown (5Y)Largest decline over 5 years | -22.87% | — | — |
Max Drawdown (10Y)Largest decline over 10 years | -22.87% | — | — |
Current DrawdownCurrent decline from peak | -20.64% | -1.76% | -18.88% |
Average DrawdownAverage peak-to-trough decline | -24.70% | -4.09% | -20.61% |
Ulcer IndexDepth and duration of drawdowns from previous peaks | 7.37% | — | — |
Volatility
SGLN.L vs. STRD - Volatility Comparison
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Volatility by Period
| SGLN.L | STRD | Difference | |
|---|---|---|---|
Volatility (1M)Calculated over the trailing 1-month period | 6.68% | — | — |
Volatility (6M)Calculated over the trailing 6-month period | 20.78% | — | — |
Volatility (1Y)Calculated over the trailing 1-year period | 23.82% | 31.81% | -7.99% |
Volatility (5Y)Calculated over the trailing 5-year period, annualized | 21.84% | 31.81% | -9.97% |
Volatility (10Y)Calculated over the trailing 10-year period, annualized | 18.84% | 31.81% | -12.97% |
Dividends
SGLN.L vs. STRD - Dividend Comparison
Neither SGLN.L nor STRD has paid dividends to shareholders.
Frequently Asked Questions
SGLN.L and STRD have a correlation of 0.01, meaning they provide meaningful diversification benefit when combined. Depending on your allocation goals, holding both could reduce overall portfolio risk.
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