Innovator S&P 500 Buffer October (BOCT) Chart

Cboe BZX: BOCTInteractive price chart with technical indicators and price history.

BOCT 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

BOCT historical prices

BOCT distributions & splits

About the BOCT chart

Innovator S&P 500 Buffer October (BOCT) closed at $54.99 on October 23, 2026, up 11.3% so far this year. It is trading 5.5% above its 200-day moving average of $52.11. Over the past year BOCT returned +13.0% including distributions, behind the S&P 500 (+14.4%).

This page charts the trading history of BOCT since 2018. 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 BOCT overview.

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BOCT chart FAQ

What is the all-time high of BOCT?

The highest closing price for BOCT was $55.89 on October 6, 2026. As of the October 23, 2026 close it traded 1.6% below that level.

What is the 52-week range of BOCT?

Over the 52 weeks to October 23, 2026, BOCT traded between an intraday low of $46.84 on March 30, 2026 and an intraday high of $56.00 on October 6, 2026.

Is BOCT above its 200-day moving average?

Yes. On October 23, 2026 BOCT closed at $54.99, 5.5% above its 200-day simple moving average of $52.11. The 50-day average was $54.93.

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

Including reinvested distributions, BOCT returned +13.0% over the past year, compared with +14.4% for SPY. Over five years the figures were +62.8% and +79.3%. See the BOCT performance page for annual returns and drawdowns.

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