Grayscale Bitcoin Trust (BTC) (GBTC) Chart

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

GBTC 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

GBTC historical prices

GBTC distributions & splits

About the GBTC chart

Grayscale Bitcoin Trust (BTC) (GBTC) closed at $62.66 on October 23, 2026, down 8.3% so far this year. It is trading 9.8% above its 200-day moving average of $57.09. Over the past year GBTC returned −27.5% including distributions, behind the S&P 500 (+14.4%).

This page charts the trading history of GBTC since 2015. 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 GBTC overview.

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GBTC chart FAQ

What is the all-time high of GBTC?

The highest closing price for GBTC was $98.43 on October 6, 2025. As of the October 23, 2026 close it traded 36.3% below that level.

What is the 52-week range of GBTC?

Over the 52 weeks to October 23, 2026, GBTC traded between an intraday low of $44.98 on June 25, 2026 and an intraday high of $91.01 on October 28, 2025.

Is GBTC above its 200-day moving average?

Yes. On October 23, 2026 GBTC closed at $62.66, 9.8% above its 200-day simple moving average of $57.09. The 50-day average was $61.61.

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

Including reinvested distributions, GBTC returned −27.5% over the past year, compared with +14.4% for SPY. Over five years the figures were +42.3% and +79.3%. See the GBTC performance page for annual returns and drawdowns.

How do I read the GBTC 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 GBTC against another fund as a percentage change. Chart prices are adjusted for splits and distributions.