QTUM's Aroon Indicator triggered a bullish signal on February 21, 2025. Tickeron's A.I.dvisor detected that the AroonUp green line is above 70 while the AroonDown red line is below 30. When the up indicator moves above 70 and the down indicator remains below 30, it is a sign that the stock could be setting up for a bullish move. Traders may want to buy the stock or look to buy calls options. A.I.dvisor looked at 382 similar instances where the Aroon Indicator showed a similar pattern. In of the 382 cases, the stock moved higher in the days that followed. This puts the odds of a move higher at .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where QTUM advanced for three days, in of 350 cases, the price rose further within the following month. The odds of a continued upward trend are .
The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 5 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
The Momentum Indicator moved below the 0 level on February 21, 2025. You may want to consider selling the stock, shorting the stock, or exploring put options on QTUM as a result. In of 76 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
The Moving Average Convergence Divergence Histogram (MACD) for QTUM turned negative on February 21, 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 50 similar instances when the indicator turned negative. In of the 50 cases the stock turned lower in the days that followed. This puts the odds of success at .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where QTUM declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category Technology