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Guinness Atkinson Sustainable Energy ETF

SOLRNYSEARCAGuinness AtkinsonEquity

$34.91Today:- (-)1Y +10.90%

As of Jul 9, 2026 close

Assets (AUM)
$4.60M
Expense ratio
0.79%
Dividend yield
0.59%
Holdings
35
52-week range
$29.49$37.00
Volume (live)
-
Avg. volume (3M)
-

SOLR ETF Historical Prices: Guinness Atkinson Sustainable Energy ETF

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

SOLR Historical Price Chart: Trends & Patterns

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

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SOLR 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 · Daily57 records
Showing 1-50 of 57
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SOLR 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
Jul 9, 202634.9134.9134.9134.9134.91N/A
Jul 8, 202634.9134.9134.9134.9134.91N/A
Jul 7, 202634.9134.9134.9134.9134.91N/A
Jul 6, 202634.9134.9134.9134.9134.91N/A
Jul 2, 202634.9134.9134.9134.9134.91N/A
Jul 1, 202634.9134.9134.9134.9134.91N/A
Jun 30, 202634.9134.9134.9134.9134.91N/A
Jun 29, 202634.9134.9134.9134.9134.91N/A
Jun 26, 202634.9134.9134.9134.9134.9134
Jun 25, 202634.8834.9134.8834.9134.91239
Jun 24, 202634.9434.9834.9434.9834.98337
Jun 23, 202634.9634.9634.9634.9634.9633
Jun 22, 202636.3336.3336.3336.3336.33103
Jun 18, 202635.9535.9835.8835.9835.98317
Jun 17, 202635.7035.8735.3235.3235.321.01K
Jun 16, 202635.9336.1335.6835.6835.6811.46K
Jun 15, 202635.7635.7635.7535.7535.75115
Jun 12, 202635.2035.2035.2035.2035.2024
Jun 11, 202634.3235.3134.3235.3135.311.15K
Jun 10, 202634.3634.3634.0134.0134.01386
Jun 9, 202635.1135.1135.1135.1135.1128
Jun 8, 202635.1835.1835.1835.1835.1813
Jun 5, 202635.3035.3434.9834.9834.98294
Jun 4, 202636.6536.6536.6536.6536.6544
Jun 3, 202636.7936.8736.7936.8336.83841
Jun 2, 202637.0037.0037.0037.0037.0011
Jun 1, 202635.9335.9335.9335.9335.9322
May 29, 202636.0536.0636.0536.0636.06631
May 28, 202636.1436.1436.1436.1436.1455
May 27, 202635.8335.8335.8335.8335.8330
May 26, 202636.0036.0936.0036.0736.071.09K
May 22, 202635.1235.1235.1235.1235.1265
May 21, 202634.4734.6634.4734.6634.663.30K
May 20, 202634.3034.3034.3034.3034.30142
May 19, 202633.6333.6333.4933.4933.49244
May 18, 202634.3034.3034.3034.3034.3090
May 15, 202634.9234.9234.3934.5134.51750
May 14, 202635.3835.3835.3835.3835.3884
May 13, 202634.8635.1734.8635.1735.17648
May 12, 202634.6034.7034.6034.7034.70315
May 11, 202635.0735.4035.0735.3235.322.14K
May 8, 202635.1335.1335.1335.1335.1343
May 7, 202635.0735.0734.6734.6734.67800
May 6, 202635.3435.4935.3435.4935.491.20K
May 5, 202634.6634.8234.6634.8234.82253
May 4, 202634.1834.1834.1834.1834.1823
May 1, 202634.5834.5834.5834.5834.58243
Apr 30, 202634.1534.5934.1534.5934.591.66K
Apr 29, 202633.8533.8533.7233.7233.72420
Apr 28, 202633.6433.7233.6433.7233.72190
Show:
of 57

Source: Daily exchange trading data. Data as of Jul 9, 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 Guinness Atkinson Sustainable Energy ETF Historical Prices

What is OHLC data for SOLR?

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

The adjusted close price for SOLR 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 SOLR price history go?

SOLR historical price data is available from the ETF's inception on Nov 10, 2020. 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 SOLR data?

SOLR 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 SOLR?

Trading volume for SOLR 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.