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Alpha Architect Tail Risk ETF

CAOSBATSAlpha ArchitectAsset Allocation

$91.22Today:- (-)1Y +1.38%

As of Oct 26, 2026 close

Assets (AUM)
$686.01M
Expense ratio
0.63%
Dividend yield
-
Holdings
18
52-week range
$89.71$91.57
Volume (live)
-
Avg. volume (3M)
49.10K

CAOS ETF Historical Prices: Alpha Architect Tail Risk ETF

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

CAOS Historical Price Chart: Trends & Patterns

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

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CAOS 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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CAOS 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, 202691.4891.4891.2091.2291.22229.43K
Oct 23, 202691.4391.6791.3791.5091.50230.89K
Oct 22, 202691.3391.4591.2491.3091.3072.34K
Oct 21, 202691.2791.2991.2591.2691.2620.20K
Oct 20, 202691.3891.3891.2591.3191.3167.72K
Oct 19, 202691.2791.3891.2091.3391.3333.24K
Oct 16, 202691.2291.5991.2091.5191.5127.00K
Oct 15, 202691.2791.2891.1991.2491.2428.71K
Oct 14, 202690.7891.2690.7891.2491.2450.32K
Oct 13, 202691.1991.1991.0991.1791.1714.64K
Oct 12, 202691.1491.1891.0891.1691.169.74K
Oct 9, 202690.9991.1990.8491.1491.1451.50K
Oct 8, 202691.0891.0890.5890.7690.7619.77K
Oct 7, 202690.9791.0690.7591.0691.0640.64K
Oct 6, 202690.9491.2690.9191.1791.1727.73K
Oct 5, 202690.7490.9990.6890.8090.8056.02K
Oct 2, 202690.5990.7690.5690.6490.6429.56K
Oct 1, 202690.5690.7890.4190.5190.5183.25K
Sep 30, 202690.4890.6690.4890.5590.5554.16K
Sep 29, 202690.4090.5390.4090.5390.5319.51K
Sep 28, 202690.5090.5490.4190.4190.4129.43K
Sep 25, 202690.4790.5390.4390.5390.5325.10K
Sep 24, 202690.4790.5090.4390.5090.5023.82K
Sep 23, 202690.3890.5090.3890.5090.5019.98K
Sep 22, 202690.4590.4790.4190.4690.4630.89K
Sep 21, 202690.3990.4890.3990.4890.4818.29K
Sep 18, 202690.3990.5090.3090.4990.4943.68K
Sep 17, 202690.4790.5190.4090.4890.4847.71K
Sep 16, 202690.5490.5890.4290.5590.5545.83K
Sep 15, 202690.7390.7390.4590.5490.5421.97K
Sep 14, 202690.3990.6190.3990.5190.5135.73K
Sep 11, 202690.4290.5290.4290.5190.5120.75K
Sep 10, 202690.5890.5890.4890.5890.5819.66K
Sep 9, 202690.5690.5690.5090.5590.5522.82K
Sep 8, 202690.4990.5690.4190.5190.5143.62K
Sep 4, 202690.4490.5190.4490.5090.5035.71K
Sep 3, 202690.5090.5190.3990.4890.4835.25K
Sep 2, 202690.5090.5090.4190.5090.5026.01K
Sep 1, 202690.5090.5290.4290.5290.5236.23K
Aug 31, 202690.4090.7290.4090.4390.4325.23K
Aug 28, 202690.3690.4990.3690.3790.3736.34K
Aug 27, 202690.4190.4690.3590.4490.4496.02K
Aug 26, 202690.3890.4990.3690.4090.4019.10K
Aug 25, 202690.4190.4690.3990.4490.4417.64K
Aug 24, 202690.4390.4890.4190.4190.4125.89K
Aug 21, 202690.5290.5290.4290.4390.4317.17K
Aug 20, 202690.3390.4790.3390.4690.4641.14K
Aug 19, 202690.5690.5690.3690.3690.3626.91K
Aug 18, 202690.5390.5390.3890.4290.4256.37K
Aug 17, 202690.5090.5090.3590.4690.4642.52K
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 Alpha Architect Tail Risk ETF Historical Prices

What is OHLC data for CAOS?

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

The adjusted close price for CAOS 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 CAOS price history go?

CAOS historical price data is available from the ETF's inception on Mar 5, 2023. 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 CAOS data?

CAOS 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 CAOS?

Trading volume for CAOS 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.