Skip to main content
LIFT logo

LifeX 2028 Income Bucket ETF

LIFTBATSStone RidgeFixed Income

$21.03Today:- (-)1Y −30.89%

As of Oct 26, 2026 close

Assets (AUM)
$2.02M
Expense ratio
0.25%
Dividend yield
47.56%
Holdings
21
52-week range
$20.93$30.50
Volume (live)
-
Avg. volume (3M)
939

LIFT ETF Historical Prices: LifeX 2028 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.

LIFT Historical Price Chart: Trends & Patterns

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

Loading chart...

LIFT 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
Scroll for more columns
LIFT 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, 202621.0321.0321.0321.0321.0351
Oct 23, 202621.0421.0421.0421.0421.0427
Oct 22, 202621.0221.0221.0221.0221.02368
Oct 21, 202621.0221.0221.0221.0221.02164
Oct 20, 202621.0021.0020.9920.9920.99150
Oct 19, 202621.0021.0021.0021.0020.99108
Oct 16, 202621.0021.0021.0021.0021.00425
Oct 15, 202621.0221.0321.0021.0020.995.80K
Oct 14, 202620.9320.9920.9320.9820.97297
Oct 13, 202620.9820.9820.9820.9820.9821
Oct 12, 202620.9620.9620.9620.9620.9663
Oct 9, 202620.9920.9920.9820.9820.98587
Oct 8, 202620.9620.9720.9620.9720.97540
Oct 7, 202620.9320.9820.9320.9720.973.47K
Oct 6, 202620.9620.9620.9620.9620.96239
Oct 5, 202620.9520.9520.9520.9520.95380
Oct 2, 202620.9820.9920.9520.9520.951.61K
Oct 1, 202621.7921.7921.7921.7920.96255
Sep 30, 202621.7721.7721.7721.7720.9351
Sep 29, 202621.7621.7621.7621.7620.9294
Sep 28, 202621.7521.7521.7521.7520.91360
Sep 25, 202621.7621.7621.7621.7620.9316
Sep 24, 202621.7421.7421.7421.7420.9115
Sep 23, 202621.7521.7521.7521.7520.91108
Sep 22, 202621.7721.7721.7721.7720.9355
Sep 21, 202621.6721.7721.6721.7720.93211
Sep 18, 202621.8021.8021.7221.7520.9211.38K
Sep 17, 202621.7421.7421.7421.7420.91177
Sep 16, 202621.7721.7721.7221.7220.891.14K
Sep 15, 202621.7721.7721.7721.7720.9317
Sep 14, 202621.7721.7721.7721.7720.93171
Sep 11, 202621.7721.7721.7721.7720.9422
Sep 10, 202621.7721.7721.7721.7720.9416
Sep 9, 202621.8021.8021.8021.8020.9714
Sep 8, 202621.8121.8121.8121.8120.9852
Sep 4, 202621.8021.8021.8021.8020.9786
Sep 3, 202621.8021.8021.8021.8020.97926
Sep 2, 202621.8521.8521.7621.7920.96422
Sep 1, 202622.6322.6322.6322.6320.96118
Aug 31, 202622.6722.6722.6522.6520.9810.98K
Aug 28, 202622.6122.6122.6122.6120.9517
Aug 27, 202622.6522.6522.6522.6520.9813
Aug 26, 202622.6522.6522.6522.6520.9830
Aug 25, 202622.6122.6522.6122.6520.98180
Aug 24, 202622.6422.6422.6422.6420.9737
Aug 21, 202622.6422.6422.6422.6420.9721
Aug 20, 202622.6422.6422.6422.6420.9736
Aug 19, 202622.6822.6822.6422.6420.982.04K
Aug 18, 202622.6522.6522.6522.6520.9878
Aug 17, 202622.6422.6422.6422.6420.9724
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 2028 Income Bucket ETF Historical Prices

What is OHLC data for LIFT?

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

The adjusted close price for LIFT 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 LIFT price history go?

LIFT 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 LIFT data?

LIFT 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 LIFT?

Trading volume for LIFT 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.