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WBI BullBear Value 3000 ETF

WBIFNYSEARCAWBI SharesEquity

$36.32Today:- (-)1Y +17.93%

As of Oct 15, 2026 close

Assets (AUM)
$22.43M
Expense ratio
1.65%
Dividend yield
-
Holdings
68
52-week range
$29.87$37.26
Volume (live)
-
Avg. volume (3M)
1.31K

WBIF ETF Historical Prices: WBI BullBear Value 3000 ETF

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

WBIF Historical Price Chart: Trends & Patterns

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

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WBIF 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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WBIF 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, 202636.1536.3236.1236.3236.32270
Oct 14, 202635.8335.8335.6235.6935.691.72K
Oct 13, 202635.9235.9735.9135.9735.97380
Oct 12, 202635.8035.8535.7935.7935.793.47K
Oct 9, 202635.6235.6635.6235.6635.66129
Oct 8, 202635.3235.6335.3035.6135.617.03K
Oct 7, 202635.2935.3035.0935.2235.223.96K
Oct 6, 202635.5235.5335.4735.4735.47642
Oct 5, 202635.3435.3435.3435.3435.3435
Oct 2, 202635.1635.1635.1635.1635.16370
Oct 1, 202634.7035.0934.7035.0835.081.11K
Sep 30, 202634.8234.8234.6634.6634.66160
Sep 29, 202634.7234.7234.6734.6734.67145
Sep 28, 202634.7234.7534.7234.7534.75328
Sep 25, 202635.0535.0535.0535.0535.0547
Sep 24, 202635.1435.1434.9734.9734.97898
Sep 23, 202635.3535.3535.2335.2335.23642
Sep 22, 202635.4435.4435.4435.4435.4496
Sep 21, 202635.7235.7235.6535.6535.654.96K
Sep 18, 202635.6835.6835.5535.5835.582.12K
Sep 17, 202635.8635.8635.7835.7835.78161
Sep 16, 202635.9335.9335.6335.6335.63174
Sep 15, 202635.9435.9435.9435.9435.941.12K
Sep 14, 202636.2736.2736.2236.2236.22182
Sep 11, 202636.1236.1336.1236.1336.13240
Sep 10, 202636.0436.0435.8935.8935.892.97K
Sep 9, 202636.4536.4536.1436.1936.19725
Sep 8, 202636.5436.5436.4736.4736.474.20K
Sep 4, 202636.9536.9536.9536.9536.9581
Sep 3, 202636.9737.1536.9737.1537.15898
Sep 2, 202636.8636.8636.8036.8036.801.04K
Sep 1, 202636.9636.9636.7336.7336.72877
Aug 31, 202637.0737.1237.0737.1237.12594
Aug 28, 202637.1037.2237.1037.2237.224.58K
Aug 27, 202637.0037.2037.0037.2037.201.90K
Aug 26, 202637.1337.1537.1337.1537.15146
Aug 25, 202637.0537.0737.0537.0737.07197
Aug 24, 202637.1737.1737.1737.1737.1754
Aug 21, 202636.8737.0736.8737.0437.041.26K
Aug 20, 202636.9836.9836.7136.7136.711.08K
Aug 19, 202637.0037.0036.9236.9236.92220
Aug 18, 202636.9336.9336.7736.7736.77781
Aug 17, 202636.8836.8836.6736.6736.673.79K
Aug 14, 202637.0637.0637.0337.0337.031.12K
Aug 13, 202636.8437.2636.8437.2637.261.04K
Aug 12, 202636.9636.9636.8236.9436.941.94K
Aug 11, 202637.0237.1037.0237.0237.022.25K
Aug 10, 202636.6636.8936.6636.8936.891.99K
Aug 7, 202636.6536.7736.6136.7036.702.06K
Aug 6, 202636.6636.6636.4336.5136.512.50K
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 WBI BullBear Value 3000 ETF Historical Prices

What is OHLC data for WBIF?

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

The adjusted close price for WBIF 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 WBIF price history go?

WBIF historical price data is available from the ETF's inception on Aug 26, 2014. 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 WBIF data?

WBIF 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 WBIF?

Trading volume for WBIF 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.