The investment seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the MarketVector™ Global Steel Index... Show more
The Moving Average Convergence Divergence (MACD) for SLX turned positive on January 05, 2026. Looking at past instances where SLX's MACD turned positive, the stock continued to rise in of 49 cases over the following month. The odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SLX advanced for three days, in of 334 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 296 cases where SLX 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 SLX moved out of overbought territory on January 30, 2026. 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 45 similar instances where the indicator moved out of overbought territory. In of the 45 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 66 cases where SLX's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SLX declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
SLX broke above its upper Bollinger Band on January 23, 2026. 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
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