π Invesco PHLX Semi ETF (SOXQ) β Price History¶
Sector: ETF Β· Semiconductors | Bars: 1,305 | 2021-06-11 β 2026-08-21
π Returns¶
| 1D | 1W | 1M | 3M | 6M | YTD | 1Y | 3Y | 5Y |
|---|---|---|---|---|---|---|---|---|
| -0.52% | -5.44% | -4.88% | -1.86% | +42.14% | +65.72% | +108.43% | +236.81% | +251.27% |
π Key Statistics¶
| Metric | Value |
|---|---|
| Last close | 92.42 (2026-08-21) |
| 52-week high | 115.33 |
| 52-week low | 43.35 |
| From 52-week high | -19.86% |
| Position in 52-week range | 68% |
| Highest price on record | 115.33 |
| Max drawdown (stored history) | -46.51% (2022-10-14) |
| Annualised volatility (1Y) | 44.19% |
| CAGR (stored history) | +28.36% |
| Avg Vol (30D) | 2.03M |
π Drawdown from Peak¶
How far the close sits below its running all-time high. The depth and the width of each trough say more about holding this name than any single return figure.
π‘οΈ Rolling Volatility¶
Annualised standard deviation of daily returns over a rolling 30-session window.
π² Daily Return Distribution¶
How the daily moves are spread. Fat tails on either side mean the average return is a poor description of a typical day.
ποΈ Monthly Returns¶
Calendar-month returns; the year column chains its months, so it only appears for years covered from January onward.
| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 | +13.0 | +1.2 | -6.4 | +38.4 | +22.2 | +11.0 | -20.6 | +3.8 | +65.7 | ||||
| 2025 | +0.7 | -4.9 | -10.4 | -1.0 | +12.5 | +16.5 | +1.2 | +1.1 | +12.2 | +13.6 | -2.8 | +0.8 | +42.2 |
| 2024 | +2.2 | +11.0 | +3.5 | -4.6 | +9.5 | +7.0 | -4.4 | -1.3 | +0.2 | -4.2 | -0.5 | +1.1 | +19.4 |
| 2023 | +15.7 | +1.3 | +9.0 | -7.4 | +15.5 | +6.3 | +5.2 | -5.0 | -6.4 | -6.2 | +15.9 | +11.8 | +65.0 |
| 2022 | -12.5 | -1.5 | +0.2 | -14.9 | +6.0 | -17.4 | +15.8 | -9.6 | -13.7 | +3.3 | +18.8 | -10.8 | -36.4 |
| 2021 | +0.1 | +2.1 | -4.8 | +5.9 | +11.1 | +3.5 |
π₯ Download¶
- soxq.csv β raw daily OHLCV, 1,305 rows
-
prices.jsonβ the full history in the JSON shape the candlestick chart consumes -
analytics.jsonβ pre-computed drawdown, rolling volatility and return histogram