Innovator S&P 500 Power Buffer ETF — July (PJUL) Chart

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

PJUL 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

PJUL historical prices

PJUL distributions & splits

About the PJUL chart

Innovator S&P 500 Power Buffer ETF — July (PJUL) closed at $49.65 on October 23, 2026, up 6.9% so far this year. It is trading 3.0% above its 200-day moving average of $48.22. Over the past year PJUL returned +8.5% including distributions, behind the S&P 500 (+14.4%).

This page charts the trading history of PJUL 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 PJUL overview.

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PJUL chart FAQ

What is the all-time high of PJUL?

The highest closing price for PJUL was $50.32 on October 9, 2026. As of the October 23, 2026 close it traded 1.3% below that level.

What is the 52-week range of PJUL?

Over the 52 weeks to October 23, 2026, PJUL traded between an intraday low of $45.10 on November 21, 2025 and an intraday high of $50.37 on October 6, 2026.

Is PJUL above its 200-day moving average?

Yes. On October 23, 2026 PJUL closed at $49.65, 3.0% above its 200-day simple moving average of $48.22. The 50-day average was $49.80.

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

Including reinvested distributions, PJUL returned +8.5% over the past year, compared with +14.4% for SPY. Over five years the figures were +63.8% and +79.3%. See the PJUL performance page for annual returns and drawdowns.

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