SMLV etf prediction: down to 95.56 USD SPDR SSGA US Small Cap Low Volatility Index fund price price prognosis
Forecast for Wed 02 Aug 2023 price
SPDR SSGA US Small Cap Low Volatility Index etf price forecast for further price development down to -7.54% (time horizon: 1 day) and price target of 95.56 USD. Short-term (time horizon: 2 weeks) SPDR SSGA US Small Cap Low Volatility Index fund price prediction for 2023-08-02 with daily closed price projections
Forecast price change
On our site we made daily predictions for finance products based on statistical analysis. You can export / download forecasted data as CSV file, no login required. The information can be used for day trading.
Candlestick patterns can be used as additional information for price prediction. Following list show which pattern applies on latest price information.
Institutional ownership list is based on filling form information
Portfolio Investments Report associated with Fund SPDR SERIES TRUST
Title Of Class
Pay of profile
Ionis Pharmaceuticals Inc
Stock Yards Bancorp Inc
US Physical Therapy Inc
Global Medical REIT Inc
Bollinger Bollinger Bands for SPDR SSGA US Small Cap Low Volatility Index can provide the information where the market is moving based on price information.
SPDR SSGA US Small Cap Low Volatility Index Short Volume Ratio is shown in the diagram. Short volume sales can be seen as an investor sentiment.
Converting prices to returns SPDR SSGA US Small Cap Low Volatility Index.
On-Balance Volume information for SPDR SSGA US Small Cap Low Volatility Index. On-Balance Volume information can be an indicator for bullish or bearish outcome.
Accumulation / Distribution (A/D) indicator information for SPDR SSGA US Small Cap Low Volatility Index. The indicator identify divergences between price and volume flow.
Aroon Oscillator information for SPDR SSGA US Small Cap Low Volatility Index. The trend-following indicator can show the strengh of a current trend and likelihood that trend can continue.
Average Directional Index (ADX) information for SPDR SSGA US Small Cap Low Volatility Index. The index can be used to identify the strengh of a trend.
Moving Average Convergence Divergence (MACD) for SPDR SSGA US Small Cap Low Volatility Index. The indicator helps to predict trend direction and the momentum of the trend.
Stochastic Oscillator as momentum indicator for SPDR SSGA US Small Cap Low Volatility Index. The indicator is useful for identifying overbought and oversold levels.
Relative Strength Index (RSI) for SPDR SSGA US Small Cap Low Volatility Index. RSI is a momentum oscillator that measures the speed and change of price development.
The momentum indicator was created by analyst Welles Wilder. The result compares recent gains and losses over restricted time period.
Primary usage of the indicator is to identify overbought or oversold signals.
When RSI indicator reaches a value of 70 it could mean that speculators should consider selling, suggests Wilder and Chong. Or vice versa when selling excess at which the RSI Indicators show a value of 30
Relative Strength Index for Developing Effective Trading Strategies in Constructing Optimal Portfolio
The forecast (dashed curve) of the share price performance is based on historical data.
Our forecast model is based on mathematical, statistical methods.
The website offers price forecasts and analysis tools for equities and other securities,
which are exclusively based on the prices of these securities in the past.
Information about these prices is provided to us by third parties. Although we believe,
If we believe that our sources are reliable, we cannot guarantee the accuracy, completeness, timeliness and
correct sequencing of this information.
We do not investigate the issuers of the securities to which our forecasts relate, nor do we consider
any financial data or other data of such issuers with the exception of the past prices of the securities.
Therefore, our forecasts do not constitute an analysis of other commercial or financial factors or
that may be relevant for future security price flows. Investments require additional considerations.
Our forecasts cannot reflect the specific situation. Experience and risk profile of an individual investor
or the tax implications an investment may have for the investor. Although we believe that
our mathematical models are a tool to try to explore the possibility for future price development
with the help of past performance, such developments are subject to a multitude of different influences.
and therefore not really predictable.
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accuracy, completeness and appropriateness - neither explicit nor implicit.