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Hartford US Quality Growth ETF

HQGONASDAQThe HartfordEquity

$68.06Today:- (-)1Y +16.48%

As of Oct 15, 2026 close

Assets (AUM)
$50.37M
Expense ratio
0.34%
Dividend yield
0.50%
Holdings
191
52-week range
$55.01$68.58
Volume (live)
-
Avg. volume (3M)
529

HQGO ETF Historical Prices: Hartford US Quality Growth ETF

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

HQGO Historical Price Chart: Trends & Patterns

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

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HQGO 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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HQGO 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 15, 202668.0668.0668.0668.0668.065
Oct 14, 202667.4867.4867.4867.4867.485
Oct 13, 202668.2368.2368.2368.2368.2316
Oct 12, 202668.3768.3768.3768.3768.376
Oct 9, 202668.4668.5768.4668.5768.571.51K
Oct 8, 202668.0068.0767.9568.0768.072.12K
Oct 7, 202668.4668.4668.1868.2968.291.93K
Oct 6, 202668.5868.5868.3268.3668.364.03K
Oct 5, 202668.0968.1268.0968.1268.121.54K
Oct 2, 202667.6167.6567.6167.6567.65526
Oct 1, 202667.3167.3167.3167.3167.3144
Sep 30, 202667.1567.1567.1567.1567.1519
Sep 29, 202667.1067.1467.1067.1467.141.57K
Sep 28, 202667.2567.2567.2567.2567.2522
Sep 25, 202667.5067.8067.5067.8067.80116
Sep 24, 202667.6267.6267.6267.6267.5233
Sep 23, 202667.5767.5767.5667.5667.46127
Sep 22, 202668.1168.1168.1168.1168.02220
Sep 21, 202668.0068.0068.0068.0067.9118
Sep 18, 202666.8166.8166.8166.8166.7237
Sep 17, 202666.7466.7466.7466.7466.6416
Sep 16, 202665.9365.9365.9365.9365.8416
Sep 15, 202666.0366.1466.0366.1266.031.58K
Sep 14, 202666.5366.5366.5366.5366.44112
Sep 11, 202666.5066.5066.5066.5066.41117
Sep 10, 202665.9265.9265.9265.9265.8216
Sep 9, 202666.3566.3566.3566.3566.2611
Sep 8, 202666.6266.6266.6266.6266.5321
Sep 4, 202667.1767.1767.1767.1767.0715
Sep 3, 202667.5567.5567.5567.5567.4593
Sep 2, 202666.8866.8866.8866.8866.7816
Sep 1, 202666.7266.7266.7266.7266.6317
Aug 31, 202667.4467.4467.4467.4467.3430
Aug 28, 202667.6667.6667.6667.6667.5619
Aug 27, 202667.8767.8767.8267.8367.74520
Aug 26, 202667.1267.1567.1267.1567.06521
Aug 25, 202667.1067.1467.0067.1167.021.00K
Aug 24, 202667.0167.0167.0167.0166.9128
Aug 21, 202667.2267.2267.1867.1867.09129
Aug 20, 202666.8266.8266.8266.8266.7317
Aug 19, 202667.5267.5267.5267.5267.4389
Aug 18, 202667.2767.2767.2767.2767.1715
Aug 17, 202667.6167.6167.6167.6167.5179
Aug 14, 202668.0668.0668.0668.0667.9658
Aug 13, 202668.4668.4668.4668.4668.3623
Aug 12, 202667.7567.7567.7567.7567.6692
Aug 11, 202667.8167.8167.8167.8167.71102
Aug 10, 202668.1568.1568.1568.1568.0599
Aug 7, 202667.9967.9967.9967.9967.8916
Aug 6, 202667.1267.2167.1267.2167.12121
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 15, 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 Hartford US Quality Growth ETF Historical Prices

What is OHLC data for HQGO?

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

The adjusted close price for HQGO 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 HQGO price history go?

HQGO historical price data is available from the ETF's inception on Dec 4, 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 HQGO data?

HQGO 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 HQGO?

Trading volume for HQGO 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.