Paranovus shares surge 13.06% intraday as AI-driven R&D shifts boost investor confidence.

think> Okay, let's see. The user wants me to act as a financial analyst explaining a stock price movement based on news. The input is in Chinese, but the output needs to be in English. The stock is Paranovus, which had an intraday increase of 13.06256861%. The trading period is intraday. The news event provided is about Paranovus PARA surging 10.98% in pre-market trading on November 27, 2025, due to AI-driven R&D shifts. However, the content is a 404 error. First, I need to check if the news event is relevant. The news mentions a pre-market surge, but the stock's movement is intraday. The percentage in the news (10.98%) is different from the actual movement (13.06%). Also, the content isn't available. The key point is whether the AI-driven R&D shift is the cause. But since the content is missing, maybe there's not enough info. The example shows that if the news is relevant and aligns, we use it. But here, the news is about pre-market, and the movement is intraday. Also, the percentages don't exactly match, but maybe the same event caused both. However, the user's instruction says to check if the news is relevant. The news is about AI R&D, which could be the reason. But since the content is 404, maybe there's no real data. Wait, the instruction says if there's no enough news, output the failure message. The user provided one news event, but the content is not found. So maybe that's not sufficient. Alternatively, the summary of the news does mention the surge in pre-market, which is a related event. But the stock's movement is during intraday. However, sometimes pre-market movements can influence intraday prices. So maybe the AI R&D news is the cause. But since the content is missing, we can't confirm. The user's example uses the news even if it's in a different session. But the example's news was about the project announcement, which is a specific event. Here, the news is about a surge but the content is missing. So perhaps there's not enough data. The user's instruction says if all events contradict or are unrelated, output failure. In this case, the news is about a pre-market surge, but the stock's movement is intraday. However, the cause (AI R&D) could still be relevant. But since the content is missing, maybe we can't confirm. Therefore, maybe the correct output is the failure message. But the example used a news event even if the session was different. Wait, the example's news was about a project announcement, which is a specific cause. Here, the summary is vague ("AI-driven R&D shifts") without details. Since the content is 404, there's no actual info. So perhaps the correct output is the failure message. Alternatively, maybe the pre-market surge is part of the intraday movement. But the user's instruction says to evaluate each news event's relevance. The news is about the same stock, so it's relevant. The direction is positive (surge) and aligns with the stock's upward movement. But the session is pre-market vs. intraday. However, the example's news was about a pre-market event and the movement was pre-market. Here, the movement is intraday, but the news is pre-market. But maybe the intraday movement is part of the same trend. However, the user's instruction requires the trading session to be specified. The example output mentions premarket trading. In this case, the stock's movement is intraday, but the news is about pre-market. Since the content is missing, maybe we can't confirm the cause. Therefore, the correct output would be the failure message because the news is not sufficient. Wait, the user's instruction says if "no enough news event provided" or all are unrelated or contradict, output failure. Here, the news is about the same stock, so it's related. The direction is positive. But the session is pre-market. The stock's movement is intraday. However, the example's output includes the cause even if the session is different. Wait, in the example, the news was about a project announcement, which is a specific event causing the pre-market movement. The output mentions the premarket trading. In our case, the news is about a pre-market surge, but the stock's movement is during intraday. But the cause (AI R&D) could still be the reason. However, the example's output doesn't mention the session of the news, just the cause. Wait, no, the example's output says "after announcing..." which is the cause. The example's news event is the announcement, which is the cause. In our case, the news is a.