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AVLV saw its Moving Average Convergence Divergence Histogram (MACD) turn negative on November 14, 2025. This is a bearish signal that suggests the stock could decline going forward. Tickeron's A.I.dvisor looked at 46 instances where the indicator turned negative. In of the 46 cases the stock moved lower in the days that followed. This puts the odds of a downward move at .
The Momentum Indicator moved below the 0 level on November 14, 2025. You may want to consider selling the stock, shorting the stock, or exploring put options on AVLV as a result. In of 80 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
AVLV moved below its 50-day moving average on November 17, 2025 date and that indicates a change from an upward trend to a downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where AVLV 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 Stochastic Oscillator is in the oversold zone. Keep an eye out for a move up in the foreseeable future.
The 10-day moving average for AVLV crossed bullishly above the 50-day moving average on October 24, 2025. This indicates that the trend has shifted higher and could be considered a buy signal. In of 18 past instances when the 10-day crossed above the 50-day, the stock continued to move higher 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 AVLV advanced for three days, in of 320 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 322 cases where AVLV Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category LargeValue