Recently, $Arm(ARM.US) has been unable to break free from the rhythm of "oscillating convergence." Currently, the stock price is fluctuating around $104, with a slight short-term decline and still significantly lower than last year's peak in the long term. Over the past 30 days, it has risen by about 4%, but compared to the 30% drop over 90 days, it remains in a weak consolidation state. This trend is really frustrating. Fundamentally, it's actually not bad, with revenue growth and steady increases in AI ecosystem licensing fees, but overall semiconductor market sentiment has cooled, and valuations still seem high. Now, many are debating whether this is a phased pullback or a value recovery, and it will depend on the upcoming earnings report.
In the first week of the new stock's listing, the turtles chose to play dead.
The reason is that I came across the "Turtle Trading Strategy" agent released by the LongbridgeAI Team, and I was curious about how Longbridge's AI would respond if it were stress-tested with a new stock. If the data is insufficient, would the agent honestly say "cannot calculate," or would it cobble together a seemingly complete trading plan to bluff its way through? I just used SK Hynix (SKHY), which has less than 20 days of historical data, to test it: Please use the Turtle Trading Strategy to help me analyze the trading opportunities for SK Hynix US stock (SKHY). It's a new stock that just listed on Nasdaq last week, with less than 20 days of historical trading data...







