Amplify Seymour Cannabis ETF (CNBS) Chart

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

CNBS 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

CNBS historical prices

CNBS distributions & splits

About the CNBS chart

Amplify Seymour Cannabis ETF (CNBS) closed at $22.92 on October 23, 2026, down 19.2% so far this year. It is trading 13.2% below its 200-day moving average of $26.39. Over the past year CNBS returned −20.7% including distributions, behind the S&P 500 (+14.4%).

This page charts the trading history of CNBS since 2019. 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 CNBS overview.

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CNBS chart FAQ

What is the all-time high of CNBS?

The highest closing price for CNBS was $325.55 on February 10, 2021. As of the October 23, 2026 close it traded 93.0% below that level.

What is the 52-week range of CNBS?

Over the 52 weeks to October 23, 2026, CNBS traded between an intraday low of $18.43 on November 19, 2025 and an intraday high of $43.94 on December 18, 2025.

Is CNBS above its 200-day moving average?

No. On October 23, 2026 CNBS closed at $22.92, 13.2% below its 200-day simple moving average of $26.39. The 50-day average was $27.10.

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

Including reinvested distributions, CNBS returned −20.7% over the past year, compared with +14.4% for SPY. Over five years the figures were −84.5% and +79.3%. See the CNBS performance page for annual returns and drawdowns.

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