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The 50-day moving average for HKND moved above the 200-day moving average on July 22, 2025. This could be a long-term bullish signal for the stock as the stock shifts to an upward trend.
The Stochastic Oscillator shows that the ticker has stayed in the oversold zone for 3 days. The price of this ticker is presumed to bounce back soon, since the longer the ticker stays in the oversold zone, the more promptly an upward trend is expected.
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where HKND advanced for three days, in of 286 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 286 cases where HKND 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 HKND moved out of overbought territory on July 28, 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 34 similar instances where the indicator moved out of overbought territory. In of the 34 cases, the stock moved lower in the following days. This puts the odds of a move lower at .
The Momentum Indicator moved below the 0 level on August 05, 2025. You may want to consider selling the stock, shorting the stock, or exploring put options on HKND as a result. In of 73 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 HKND turned negative on July 30, 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 42 similar instances when the indicator turned negative. In of the 42 cases the stock turned lower in the days that followed. This puts the odds of success at .
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category LargeValue