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$Exicure (XCUR.US)$ Can it break through $4 tonight, Smitha?
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$Agape ATP (ATPC.US)$ A typical shell company, no matter how melodious its song is, it must be avoided.
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我的购买成本是1.07美金，按照我通常的分析，这个股票应该在突破1美金之后，形成剧烈的并且长久的上涨。但是在1.25美金短期压力被突破以后，上涨过程有点犹豫，因此我在1.4到1.9美元不断的减持。尾市又跌倒了1美元。我仍然认为它会再次产生一段强烈上升行情，下周看看机会吧。
$Momentus (MNTS.US)$
$Momentus (MNTS.US)$
I bought it for a cost of 0.1717 and I am trying to sell it at a price of 0.2616 to see if it can be traded.
$Tantech (TANH.US)$
$Tantech (TANH.US)$
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If you are optimistic, you won't sell it
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$NVIDIA (NVDA.US)$
The biggest bubble in stock history is being pierced. Those who expect it to rise will soon fall into pessimism, yet the pessimism is not over, followed by a hopelessly continuous decline.
The biggest bubble in stock history is being pierced. Those who expect it to rise will soon fall into pessimism, yet the pessimism is not over, followed by a hopelessly continuous decline.
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$NVIDIA (NVDA.US)$
As a veteran of the stock market who has experienced hundreds of battles, I would like to remind you once again that NVDA may face huge risks. One of the fundamental reasons why the company's stock price has skyrocketed in the past is the big language model. People have huge fantasies that big language models will eventually generate AGI. One question, however, is whether language and thinking can be equated? If the answer to this question is no, then whether AGI can be implemented through a big language model will be fundamentally questioned. Currently, more and more evidence is shaking the direction of the big language model. This is the root cause of NVDA's decline. Based on my many years of experience and estimates, it is likely to become a target for bear hunts and eventually fall to an astonishing $20 price.
As a veteran of the stock market who has experienced hundreds of battles, I would like to remind you once again that NVDA may face huge risks. One of the fundamental reasons why the company's stock price has skyrocketed in the past is the big language model. People have huge fantasies that big language models will eventually generate AGI. One question, however, is whether language and thinking can be equated? If the answer to this question is no, then whether AGI can be implemented through a big language model will be fundamentally questioned. Currently, more and more evidence is shaking the direction of the big language model. This is the root cause of NVDA's decline. Based on my many years of experience and estimates, it is likely to become a target for bear hunts and eventually fall to an astonishing $20 price.
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