The investment seeks to track the investment results (before fees and expenses) of the S&P 500® Low Volatility Index (the "underlying index")... Show more
Moving higher for three straight days is viewed as a bullish sign. Keep an eye on this stock for future growth. Considering data from situations where SPLV advanced for three days, in of 358 cases, the price rose further within the following month. The odds of a continued upward trend are .
The Aroon Indicator entered an Uptrend today. In of 377 cases where SPLV Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .
The 10-day RSI Indicator for SPLV moved out of overbought territory on March 04, 2025. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 51 similar instances where the indicator moved out of overbought territory. In of the 51 cases, the stock moved lower in the following days. This puts the odds of a move lower at .
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In of 74 cases where SPLV's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are .
The Moving Average Convergence Divergence Histogram (MACD) for SPLV turned negative on March 07, 2025. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 49 similar instances when the indicator turned negative. In of the 49 cases the stock turned lower in the days that followed. This puts the odds of success at .
SPLV broke above its upper Bollinger Band on February 28, 2025. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category LargeValue