The investment seeks to provide investment results that, before expenses, correspond generally to the total return performance of publicly traded equity securities of companies comprising the Syntax Stratified LargeCap Index (the "index")... Show more
SSPY saw its Momentum Indicator move above the 0 level on August 13, 2025. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 84 similar instances where the indicator turned positive. In of the 84 cases, the stock moved higher in the following days. The odds of a move higher are at .
The Moving Average Convergence Divergence (MACD) for SSPY just turned positive on August 14, 2025. Looking at past instances where SSPY's MACD turned positive, the stock continued to rise in of 55 cases over the following month. The odds of a continued upward trend are .
The Aroon Indicator entered an Uptrend today. In of 331 cases where SSPY 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 SSPY moved out of overbought territory on August 26, 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 48 similar instances where the indicator moved out of overbought territory. In of the 48 cases, the stock moved lower in the following days. This puts the odds of a move lower at .
The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 10 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
SSPY broke above its upper Bollinger Band on August 13, 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