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American Customer Satisfaction ETF

ACSIBATSACSI FundsEquity

$76.21Today:- (-)1Y +16.56%

As of Oct 16, 2026 close

Assets (AUM)
$113.95M
Expense ratio
0.65%
Dividend yield
0.79%
Holdings
34
52-week range
$63.07$78.64
Volume (live)
-
Avg. volume (3M)
347

ACSI ETF Historical Prices: American Customer Satisfaction ETF

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

ACSI Historical Price Chart: Trends & Patterns

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

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ACSI 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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ACSI 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, 202676.2176.2176.2176.2176.2111
Oct 15, 202676.8876.8876.8876.8876.8715
Oct 14, 202676.2476.2476.2476.2476.2418
Oct 13, 202676.8376.8376.7176.7176.71108
Oct 12, 202676.4176.4176.4176.4176.4129
Oct 9, 202675.9775.9775.9775.9775.97217
Oct 8, 202675.9176.3175.9176.3176.31418
Oct 7, 202675.9075.9875.8175.8175.81715
Oct 6, 202676.0176.0176.0176.0176.01109
Oct 5, 202675.2875.2875.2875.2875.2857
Oct 2, 202675.0875.0875.0875.0875.0820
Oct 1, 202674.5574.7174.5574.7174.71309
Sep 30, 202675.5175.5175.0575.0575.05778
Sep 29, 202675.2675.4875.2675.4875.48882
Sep 28, 202675.7875.7875.7875.7875.7828
Sep 25, 202676.2376.6876.2376.6776.67306
Sep 24, 202676.1776.1776.1776.1776.1738
Sep 23, 202676.4676.4876.1476.1476.14696
Sep 22, 202676.7376.7376.7376.7376.7331
Sep 21, 202677.4177.5977.4077.5277.521.92K
Sep 18, 202676.5976.7176.5976.6776.681.02K
Sep 17, 202677.0977.0977.0977.0977.09177
Sep 16, 202676.7576.7576.7576.7576.7523
Sep 15, 202677.4977.4977.4977.4977.4936
Sep 14, 202677.9778.1577.9778.1578.15136
Sep 11, 202678.0078.0078.0078.0078.0021
Sep 10, 202676.8676.8676.7776.7776.771.03K
Sep 9, 202677.0777.0776.9476.9476.94291
Sep 8, 202677.3877.3877.3877.3877.3834
Sep 4, 202678.0178.0178.0178.0178.0123
Sep 3, 202678.1378.6478.1378.6478.64923
Sep 2, 202677.6677.6677.6677.6677.6619
Sep 1, 202677.0077.0076.6476.6476.64921
Aug 31, 202677.0277.0277.0077.0077.00665
Aug 28, 202677.4677.4677.4677.4677.4636
Aug 27, 202676.9676.9676.9676.9676.9698
Aug 26, 202677.6877.6877.6877.6877.6878
Aug 25, 202677.4877.6777.4877.6777.67308
Aug 24, 202677.4777.5477.4777.5477.54332
Aug 21, 202676.7376.8176.7376.8176.80215
Aug 20, 202676.5376.5376.5376.5376.5230
Aug 19, 202677.3477.3477.3477.3477.3448
Aug 18, 202677.4377.4377.4377.4377.4358
Aug 17, 202677.2877.2877.2877.2877.28187
Aug 14, 202678.2678.2678.1478.1478.14226
Aug 13, 202678.0778.3278.0778.2078.20693
Aug 12, 202677.6877.6877.6877.6877.6822
Aug 11, 202677.2677.2677.2677.2677.2624
Aug 10, 202677.3277.6377.3277.6377.631.26K
Aug 7, 202677.6877.6877.6877.6877.6882
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 American Customer Satisfaction ETF Historical Prices

What is OHLC data for ACSI?

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

The adjusted close price for ACSI 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 ACSI price history go?

ACSI historical price data is available from the ETF's inception on Oct 31, 2016. 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 ACSI data?

ACSI 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 ACSI?

Trading volume for ACSI 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.