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Arrow Valtoro ETF

OROBATSArrow FundsAsset Allocation

$19.60Today:- (-)1Y +1.30%

As of Oct 26, 2026 close

Assets (AUM)
$4.16M
Expense ratio
1.25%
Dividend yield
-
Holdings
1
52-week range
$17.70$21.50
Volume (live)
-
Avg. volume (3M)
679

ORO ETF Historical Prices: Arrow Valtoro 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.

ORO Historical Price Chart: Trends & Patterns

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

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ORO 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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ORO 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, 202619.5819.6019.5119.6019.608.93K
Oct 23, 202619.5919.5919.5919.5919.5927
Oct 22, 202619.9019.9019.6819.6819.68624
Oct 21, 202620.3820.3820.3820.3820.3827
Oct 20, 202619.9719.9719.9719.9719.9710
Oct 19, 202619.9319.9319.9319.9319.9260
Oct 16, 202619.9519.9519.9519.9519.9516
Oct 15, 202620.1820.1820.1820.1820.1894
Oct 14, 202620.0220.0220.0220.0220.0229
Oct 13, 202620.3620.3620.3620.3620.36108
Oct 12, 202620.1820.2320.1820.2120.211.51K
Oct 9, 202620.3020.3020.1820.2520.251.22K
Oct 8, 202620.3820.3820.3820.3820.3825
Oct 7, 202620.5120.5120.5120.5120.5114
Oct 6, 202620.9620.9620.9620.9620.9613
Oct 5, 202620.9820.9820.9820.9820.9865
Oct 2, 202620.6920.7020.6920.7020.70339
Oct 1, 202620.7920.7920.7920.7920.7933
Sep 30, 202620.5720.5720.5720.5720.5724
Sep 29, 202620.6020.6020.6020.6020.6016
Sep 28, 202620.4120.5220.4120.5220.52230
Sep 25, 202620.8020.8020.8020.8020.8066
Sep 24, 202620.8920.8920.8920.8920.89129
Sep 23, 202620.9220.9220.9220.9220.9218
Sep 22, 202621.3721.4421.3521.3521.351.03K
Sep 21, 202620.7321.4720.7321.4721.473.02K
Sep 18, 202620.3820.3820.3720.3720.37218
Sep 17, 202619.9619.9619.9619.9619.9614
Sep 16, 202620.0020.0019.8019.9119.912.42K
Sep 15, 202619.9919.9919.9919.9919.9927
Sep 14, 202620.3920.6220.3920.6220.62726
Sep 11, 202620.5420.5420.5420.5420.5411
Sep 10, 202620.5020.5020.5020.5020.50106
Sep 9, 202620.6820.6920.6820.6920.696.14K
Sep 8, 202620.6320.6320.6320.6320.6316
Sep 4, 202621.0121.0121.0121.0121.01121
Sep 3, 202621.5021.5021.5021.5021.5013
Sep 2, 202620.4320.4320.4320.4320.4320
Sep 1, 202620.3920.3920.3920.3920.4024
Aug 31, 202620.8820.8820.8420.8420.84224
Aug 28, 202620.7920.8420.5620.5620.5619.93K
Aug 27, 202621.1221.1221.1021.1021.10111
Aug 26, 202620.8120.8120.8120.8120.8110
Aug 25, 202620.9620.9920.9020.9020.901.47K
Aug 24, 202620.9820.9820.8720.8720.87236
Aug 21, 202620.5520.5520.5520.5520.55163
Aug 20, 202619.6319.6419.6319.6419.64738
Aug 19, 202618.5918.7018.5918.6918.69490
Aug 18, 202617.8417.8417.8317.8317.83374
Aug 17, 202617.8917.8917.8917.8917.8911
Show:
of 126

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 Arrow Valtoro ETF Historical Prices

What is OHLC data for ORO?

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

The adjusted close price for ORO 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 ORO price history go?

ORO historical price data is available from the ETF's inception on Oct 16, 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 ORO data?

ORO 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 ORO?

Trading volume for ORO 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.