ALPS Medical Breakthroughs ETF (SBIO) Chart

NYSE Arca: SBIOInteractive price chart with technical indicators and price history.

SBIO price chart

Daily prices adjusted for splits and distributions. 1D and 5D show delayed intraday prices. Markers: D distribution, S split.

Technical snapshot

Key levels & statistics

SBIO historical prices

SBIO distributions & splits

About the SBIO chart

ALPS Medical Breakthroughs ETF (SBIO) closed at $53.38 on October 23, 2026, up 4.2% so far this year. It is trading 6.3% below its 200-day moving average of $56.95. Over the past year SBIO returned +26.9% including distributions, ahead of the S&P 500 (+14.4%).

This page charts the trading history of SBIO since 2014. Daily prices come from EODHD and are adjusted for splits and distributions, so returns over long periods are comparable. For fund facts and the latest quote see the SBIO overview.

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SBIO chart FAQ

What is the all-time high of SBIO?

The highest closing price for SBIO was $70.79 on August 19, 2026. As of the October 23, 2026 close it traded 24.6% below that level.

What is the 52-week range of SBIO?

Over the 52 weeks to October 23, 2026, SBIO traded between an intraday low of $42.40 on October 24, 2025 and an intraday high of $70.85 on August 19, 2026.

Is SBIO above its 200-day moving average?

No. On October 23, 2026 SBIO closed at $53.38, 6.3% below its 200-day simple moving average of $56.95. The 50-day average was $61.18.

How has SBIO performed compared with the S&P 500?

Including reinvested distributions, SBIO returned +26.9% over the past year, compared with +14.4% for SPY. Over five years the figures were +20.3% and +79.3%. See the SBIO performance page for annual returns and drawdowns.

How do I read the SBIO chart?

Pick a time range above the chart and choose candlesticks, a line or an area chart. Moving averages, Bollinger Bands, volume, RSI and MACD can be switched on with the indicator buttons, and "Compare" plots SBIO against another fund as a percentage change. Chart prices are adjusted for splits and distributions.