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Pictet AI & Automation ETF

PBOTNYSEARCAPictetEquity

$33.15Today:- (-)1Y +25.50%

As of Oct 26, 2026 close

Assets (AUM)
$18.78M
Expense ratio
0.70%
Dividend yield
0.07%
Holdings
51
52-week range
$22.52$36.23
Volume (live)
-
Avg. volume (3M)
5.22K

PBOT ETF Historical Prices: Pictet AI & Automation ETF

Complete OHLC price data, adjusted close prices, and daily trading volume for this Equity ETF. Analyze trends with customizable time periods and intervals.

PBOT Historical Price Chart: Trends & Patterns

Visualize price movements and trading patterns with adjustable time periods and data intervals.

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PBOT Historical Price Data Table

Complete historical stock price data with OHLC prices, adjusted close, and daily trading volume. Filter by time interval and date range for detailed price history analysis.

Filter Historical Data

Active filters: 6 Months · Daily127 records
Showing 1-50 of 127
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PBOT historical price data table with daily, weekly, monthly, quarterly, and yearly trading intervals. Track Open, High, Low, Close, Adjusted Close prices, and trading volume to analyze price trends, technical patterns, and market activity for comprehensive price history analysis.
DateOpenHighLowCloseAdj CloseVolume
Oct 26, 202633.1533.1533.1533.1533.1515
Oct 23, 202632.6232.6232.6232.6232.6216
Oct 22, 202631.9931.9931.9931.9931.9918
Oct 21, 202633.1233.1233.1233.1233.128
Oct 20, 202632.4632.4632.4632.4632.4633
Oct 19, 202632.4832.4832.4832.4832.4820
Oct 16, 202632.0032.0032.0032.0032.0032
Oct 15, 202632.8133.5032.8133.5033.50777
Oct 14, 202634.4034.4033.6833.6833.68487
Oct 13, 202634.8635.2934.5534.9534.9543.11K
Oct 12, 202635.5435.5433.8835.3235.3216.57K
Oct 9, 202635.7235.9435.7235.9435.94556
Oct 8, 202635.2835.2835.2835.2835.2859
Oct 7, 202635.8235.8235.7435.7735.77741
Oct 6, 202636.2336.2336.2336.2336.2329
Oct 5, 202636.1336.1336.1336.1336.13175
Oct 2, 202635.8535.8535.8535.8535.8517
Oct 1, 202635.3035.3035.3035.3035.3045
Sep 30, 202634.9434.9434.9434.9434.9483
Sep 29, 202634.6834.8134.6834.8134.8188.12K
Sep 28, 202634.3934.3934.3934.3934.3947
Sep 25, 202634.5034.5534.5034.5534.55676
Sep 24, 202634.5834.7734.5834.7134.71569
Sep 23, 202634.5534.8634.5034.7934.79569
Sep 22, 202634.6534.8234.6534.8234.82506
Sep 21, 202634.3434.5534.3434.5534.55179
Sep 18, 202633.3833.3833.3833.3833.38105
Sep 17, 202633.4133.4133.3633.3633.36542
Sep 16, 202632.5632.7532.5632.7532.75613
Sep 15, 202632.8132.8132.7732.7732.772.01K
Sep 14, 202632.8332.8332.8332.8332.8317
Sep 11, 202633.0133.0132.7932.7932.79125
Sep 10, 202632.5532.5532.5532.5532.5595
Sep 9, 202632.9632.9632.9632.9632.9615
Sep 8, 202633.0133.0133.0133.0133.0124
Sep 4, 202632.9732.9732.9732.9732.9737
Sep 3, 202632.7732.7732.7732.7732.7740
Sep 2, 202632.1732.1732.1732.1732.1735
Sep 1, 202632.5032.5032.5032.5032.50157
Aug 31, 202633.5433.5433.5433.5433.54220
Aug 28, 202635.5235.5233.2733.2733.271.21K
Aug 27, 202633.7233.8433.7233.8433.83936
Aug 26, 202632.1932.1932.1932.1932.1913
Aug 25, 202632.1332.1332.1332.1332.1321
Aug 24, 202632.1232.1232.1232.1232.1252
Aug 21, 202632.7632.7632.7632.7632.7654
Aug 20, 202632.4332.4332.4332.4332.4325
Aug 19, 202632.6332.6332.6332.6332.6343
Aug 18, 202633.1233.1233.1233.1233.1233
Aug 17, 202634.0834.0834.0834.0834.08182
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 26, 2026. Data sources and methodology

Understanding Historical ETF Price Data & OHLC Metrics

Open Price
The price at which the ETF opened for trading at the start of the trading session.
High Price
The highest price at which the ETF traded during the trading session.
Low Price
The lowest price at which the ETF traded during the trading session.
Close Price
The final price when trading closed for the session.
Adjusted Close Price
The closing price adjusted for corporate actions such as dividends, stock splits, and rights offerings. Used for accurate long-term historical price analysis and return calculations.
Volume
The total number of shares traded during the session, indicating trading activity and liquidity.

Using Historical Prices for Technical Analysis

Traders and investors use historical price data to identify patterns, support and resistance levels, and price trends. By analyzing OHLC values across different intervals, you can spot key market signals.

Trading Ranges
High and Low prices reveal daily and weekly volatility patterns, helping identify potential breakout or consolidation zones.
Price Momentum
Close price changes across intervals indicate bullish or bearish activity and overall trend direction.
Volume Confirmation
Trading volume validates price movements and trend strength. High volume typically confirms significant price changes.
Long-term Trends
Monthly and yearly intervals reveal major price patterns and cycles, useful for position trading and portfolio analysis.

Frequently Asked Questions About Pictet AI & Automation ETF Historical Prices

What is OHLC data for PBOT?

OHLC stands for Open, High, Low, Close - the four key price points for PBOT during each trading period. Open is the first trade price, High is the maximum price reached, Low is the minimum price, and Close is the final trade price for the period.

What is adjusted close price for PBOT?

The adjusted close price for PBOT is the closing price modified to account for corporate actions like stock splits and dividend distributions. This provides accurate historical price comparison for long-term analysis.

How far back does PBOT price history go?

PBOT historical price data is available from the ETF's inception on Oct 14, 2025. Use the "Max" time period option to view all available historical data, or select specific periods like 1 year, 5 years, or 10 years.

What time intervals are available for PBOT data?

PBOT historical data is available in multiple intervals: daily (individual trading days), weekly (week-ending prices), monthly (month-end prices), quarterly (quarter-end prices), and yearly (year-end prices).

Why is trading volume important for PBOT?

Trading volume for PBOT indicates market activity and liquidity. High volume often confirms price trends, while low volume may suggest weak price movements. Volume analysis helps validate technical patterns and identify potential reversals.