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Franklin Disruptive Commerce ETF

BUYZBATSFranklin TempletonEquity

$36.20Today:- (-)1Y −11.86%

As of Oct 16, 2026 close

Assets (AUM)
$5.20M
Expense ratio
0.50%
Dividend yield
-
Holdings
60
52-week range
$30.81$43.69
Volume (live)
-
Avg. volume (3M)
256

BUYZ ETF Historical Prices: Franklin Disruptive Commerce ETF

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

BUYZ Historical Price Chart: Trends & Patterns

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

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BUYZ 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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BUYZ 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, 202636.2036.2036.2036.2036.2032
Oct 15, 202636.9636.9636.9636.9636.968
Oct 14, 202635.8035.9835.8035.9835.98467
Oct 13, 202636.4536.5636.4536.5636.56186
Oct 12, 202636.4536.4536.4536.4536.4516
Oct 9, 202636.0036.2436.0036.2436.241.06K
Oct 8, 202635.5535.5535.5535.5535.5581
Oct 7, 202635.3035.3035.3035.3035.30215
Oct 6, 202635.2735.2735.2735.2735.2722
Oct 5, 202635.1235.1235.1235.1235.1170
Oct 2, 202634.3934.4834.3934.4834.48901
Oct 1, 202634.0734.2934.0734.2934.29347
Sep 30, 202634.3434.3434.3434.3434.34113
Sep 29, 202634.4834.4834.4834.4834.48169
Sep 28, 202634.2134.2134.2134.2134.2121
Sep 25, 202634.6834.6834.6834.6834.6817
Sep 24, 202634.6734.6734.6734.6734.6736
Sep 23, 202634.5234.5234.5234.5234.53199
Sep 22, 202635.2535.2535.2535.2535.2519
Sep 21, 202635.2235.2235.2035.2035.20456
Sep 18, 202634.4334.4834.4334.4834.48235
Sep 17, 202634.6034.6134.6034.6134.61414
Sep 16, 202634.4234.6034.4234.6034.60433
Sep 15, 202634.8434.8434.8434.8434.8422
Sep 14, 202635.3835.3835.3835.3835.38181
Sep 11, 202634.8134.8434.8134.8434.84172
Sep 10, 202634.3834.4534.3834.4534.44266
Sep 9, 202634.6134.6134.5334.5334.54621
Sep 8, 202635.1835.1835.1835.1835.1843
Sep 4, 202636.1036.1036.1036.1036.1022
Sep 3, 202636.2436.4036.2436.4036.40853
Sep 2, 202636.0736.1236.0736.1236.12115
Sep 1, 202635.9035.9035.6635.6635.66236
Aug 31, 202636.3636.3636.3636.3636.36129
Aug 28, 202637.0737.0737.0737.0737.07135
Aug 27, 202636.7736.7936.5936.5936.59328
Aug 26, 202636.9636.9636.9136.9136.91218
Aug 25, 202637.0937.2437.0937.2437.241.67K
Aug 24, 202636.9536.9536.9536.9536.9575
Aug 21, 202636.4336.4636.4336.4636.46200
Aug 20, 202636.3636.3636.3636.3636.3615
Aug 19, 202636.6536.6536.6536.6536.6516
Aug 18, 202635.9935.9935.9935.9935.9940
Aug 17, 202636.1536.1536.1536.1536.15126
Aug 14, 202636.9136.9136.8636.8736.872.96K
Aug 13, 202636.9836.9836.9836.9836.9838
Aug 12, 202636.4036.4036.3836.3836.37213
Aug 11, 202636.7636.7636.7636.7636.7623
Aug 10, 202636.8736.9136.8736.9136.91205
Aug 7, 202636.5036.8636.5036.8636.86497
Show:
of 127

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 Franklin Disruptive Commerce ETF Historical Prices

What is OHLC data for BUYZ?

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

The adjusted close price for BUYZ 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 BUYZ price history go?

BUYZ historical price data is available from the ETF's inception on Feb 24, 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 BUYZ data?

BUYZ 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 BUYZ?

Trading volume for BUYZ 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.