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Fidelity Disruptive Automation ETF

FBOTNASDAQFidelityEquity

$37.57Today:- (-)1Y +17.10%

As of Oct 16, 2026 close

Assets (AUM)
$212.67M
Expense ratio
0.50%
Dividend yield
0.40%
Holdings
55
52-week range
$30.45$40.84
Volume (live)
-
Avg. volume (3M)
10.41K

FBOT ETF Historical Prices: Fidelity Disruptive 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.

FBOT Historical Price Chart: Trends & Patterns

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

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FBOT 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 · Daily126 records
Showing 1-50 of 126
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FBOT 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 16, 202638.4338.4337.4837.5737.5718.24K
Oct 15, 202637.7938.4037.5638.3938.3910.53K
Oct 14, 202639.1039.1938.4838.5638.5616.72K
Oct 13, 202639.2339.4039.1139.3939.3911.40K
Oct 12, 202639.5739.5739.3239.3439.345.26K
Oct 9, 202639.6239.6239.5239.6139.619.27K
Oct 8, 202639.2339.3538.9539.1539.1515.34K
Oct 7, 202639.9039.9039.4539.6739.678.25K
Oct 6, 202640.2940.4640.2340.2340.236.00K
Oct 5, 202640.0140.1939.9340.0840.0813.59K
Oct 2, 202639.5039.7039.4939.6339.6216.81K
Oct 1, 202638.8539.0338.6238.9338.936.74K
Sep 30, 202639.0039.1138.7538.7538.758.64K
Sep 29, 202638.8938.8938.6438.7338.736.51K
Sep 28, 202638.6738.8438.4838.6838.685.89K
Sep 25, 202638.9639.0938.8138.9938.9910.77K
Sep 24, 202638.4238.5838.2338.5438.548.36K
Sep 23, 202638.9638.9838.6738.7238.727.19K
Sep 22, 202638.8639.1738.8339.1439.1411.57K
Sep 21, 202638.4138.8238.2938.7538.7517.90K
Sep 18, 202637.9738.0337.8038.0338.0312.09K
Sep 17, 202638.1838.1837.9738.0938.0618.98K
Sep 16, 202637.7337.9237.4137.6537.628.77K
Sep 15, 202637.6837.6837.3637.4937.469.33K
Sep 14, 202637.5837.9337.5737.7537.7211.11K
Sep 11, 202638.3438.5638.3438.4138.397.47K
Sep 10, 202638.0038.1637.8637.9237.906.44K
Sep 9, 202638.7238.7638.4738.5138.488.83K
Sep 8, 202639.1339.1538.8738.8738.849.94K
Sep 4, 202639.2739.4339.2439.3539.329.68K
Sep 3, 202638.9939.2938.9239.2539.2212.98K
Sep 2, 202638.4138.5538.4138.5538.5210.54K
Sep 1, 202639.0439.0438.6138.6338.609.83K
Aug 31, 202639.7139.7139.3639.4739.449.87K
Aug 28, 202640.1640.1639.6639.7039.679.14K
Aug 27, 202639.9440.2739.9440.2040.1816.34K
Aug 26, 202639.6539.7739.5639.6339.609.59K
Aug 25, 202639.9139.9139.6339.6939.666.92K
Aug 24, 202639.6939.6939.3539.4139.3810.01K
Aug 21, 202639.8739.9539.5839.8939.866.74K
Aug 20, 202639.4839.7439.3739.5339.509.55K
Aug 19, 202639.8639.9039.5139.7439.719.16K
Aug 18, 202640.0740.0739.7539.7739.7411.40K
Aug 17, 202640.6740.8440.6540.6840.658.38K
Aug 14, 202640.7140.7140.4140.5140.4822.93K
Aug 13, 202640.5040.7740.4840.7440.7114.57K
Aug 12, 202640.7640.7640.5240.5240.4910.76K
Aug 11, 202640.2140.5840.2040.4140.388.29K
Aug 10, 202640.2140.2640.0540.0540.0214.64K
Aug 7, 202639.9840.2939.9540.2940.2613.55K
Show:
of 126

Source: Daily exchange trading data. Data as of Oct 16, 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 Fidelity Disruptive Automation ETF Historical Prices

What is OHLC data for FBOT?

OHLC stands for Open, High, Low, Close - the four key price points for FBOT 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 FBOT?

The adjusted close price for FBOT 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 FBOT price history go?

FBOT historical price data is available from the ETF's inception on Apr 15, 2020. 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 FBOT data?

FBOT 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 FBOT?

Trading volume for FBOT 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.