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LifeX 2030 Income Bucket ETF

BCKTBATSStone RidgeFixed Income

$38.58Today:- (-)1Y −19.64%

As of Oct 26, 2026 close

Assets (AUM)
$2.35M
Expense ratio
0.25%
Dividend yield
25.91%
Holdings
39
52-week range
$38.34$48.10
Volume (live)
-
Avg. volume (3M)
25

BCKT ETF Historical Prices: LifeX 2030 Income Bucket ETF

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

BCKT Historical Price Chart: Trends & Patterns

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

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BCKT 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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BCKT 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, 202638.5838.5838.5838.5838.5810
Oct 23, 202638.5938.5938.5938.5938.597
Oct 22, 202638.5738.6038.5738.6038.60265
Oct 21, 202638.4838.4838.4838.4838.487
Oct 20, 202638.4938.4938.4938.4938.497
Oct 19, 202638.4938.4938.4938.4938.497
Oct 16, 202638.5238.5238.5238.5238.529
Oct 15, 202638.4838.4838.4838.4838.488
Oct 14, 202638.4238.4238.4238.4238.438
Oct 13, 202638.4338.4338.4338.4338.437
Oct 12, 202638.4238.4238.4238.4238.4234
Oct 9, 202638.4238.4238.4238.4238.428
Oct 8, 202638.4338.4338.4338.4338.4313
Oct 7, 202638.4138.4138.4138.4138.4112
Oct 6, 202638.3838.3838.3838.3838.3815
Oct 5, 202638.3638.3638.3638.3638.3633
Oct 2, 202638.3438.3438.3438.3438.3416
Oct 1, 202639.2139.2139.2139.2138.3816
Sep 30, 202639.1439.1439.1439.1438.3115
Sep 29, 202639.1439.1439.1439.1438.3112
Sep 28, 202639.1239.1239.1239.1238.2853
Sep 25, 202639.1739.1739.1739.1738.3413
Sep 24, 202639.1139.1139.1139.1138.2847
Sep 23, 202639.1339.1339.1339.1338.3011
Sep 22, 202639.2439.2439.2439.2438.4122
Sep 21, 202639.2339.2339.2339.2338.3912
Sep 18, 202639.2039.2039.2039.2038.3712
Sep 17, 202639.2639.2639.2639.2638.4214
Sep 16, 202639.2139.2139.2139.2138.3832
Sep 15, 202639.2439.2439.2439.2438.4111
Sep 14, 202639.2539.2539.2539.2538.4212
Sep 11, 202639.2639.2639.2639.2638.4312
Sep 10, 202639.3039.3039.3039.3038.4612
Sep 9, 202639.4039.4039.4039.4038.5676
Sep 8, 202639.4239.4239.4239.4238.5818
Sep 4, 202639.4339.4339.4339.4338.5916
Sep 3, 202639.4439.4439.4439.4438.6023
Sep 2, 202639.4139.4139.4139.4138.5711
Sep 1, 202640.2340.2340.2340.2338.5514
Aug 31, 202640.2640.2640.2640.2638.5917
Aug 28, 202640.2640.2640.2640.2638.5913
Aug 27, 202640.3440.3440.3440.3438.6612
Aug 26, 202640.3440.3440.3440.3438.6612
Aug 25, 202640.3740.3740.3740.3738.6936
Aug 24, 202640.3140.3140.3140.3138.6414
Aug 21, 202640.3040.3040.3040.3038.6311
Aug 20, 202640.3340.3340.3340.3338.6512
Aug 19, 202640.3440.3440.3440.3438.6717
Aug 18, 202640.3340.3340.3340.3338.6520
Aug 17, 202640.3240.3240.3240.3238.6520
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 LifeX 2030 Income Bucket ETF Historical Prices

What is OHLC data for BCKT?

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

The adjusted close price for BCKT 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 BCKT price history go?

BCKT historical price data is available from the ETF's inception on Sep 23, 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 BCKT data?

BCKT 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 BCKT?

Trading volume for BCKT 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.