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Okay, let me try to tackle this. The user wants me to explain the stock price movement of NetClass Technology by linking it to relevant news events. First, I need to check the input data. The stock had an intraday up of 73.74517375%, which should be rounded to 73.75%. The trading period is intraday.
Looking at the news events, there are two reasons provided. Reason 1 mentions a surge in the stock despite the broader market decline, driven by sector rotation towards tech stocks. The article also notes that the stock rose 12.44% in pre-market trading. However, the user is asking about an intraday move of 73.75%, which is much higher. The pre-market and intraday are different sessions, so I need to check if the 12.44% pre-market gain is part of the intraday movement or a separate event. But the user's input says the stock is up 73.75% intraday, which is a huge jump. The first news event might not be sufficient to explain such a large move.
Reason 2 states that the shares rose 18.31% intraday after launching an AI-assisted English learning system with vertical large language models and EDC blockchain. This seems more directly related to the intraday movement. The article also mentions the EDC blockchain system's stability since 2018 and recognition by Shanghai authorities. Additionally, there's a mention of B2B revenue for six months to March 31, 2025, but the revenue decreased compared to the same period in 2024. However, the stock price is up, so the revenue might not be the main driver here.
Wait, the user's example had two paragraphs. The first was the headline with the stock movement and reason, the second a brief company description. So I need to structure it similarly. The key is to link the 73.75% intraday surge to the news events. However, the two news reasons given are for different percentages (12.44% pre-market and 18.31% intraday). The user's input is a 73.75% intraday move, which is much higher than both. That's a problem because the news events don't mention such a high percentage. Maybe there's a mistake in the input data, or perhaps the 73.75% is a typo. Alternatively, maybe the 73.75% is the total movement, but the news events only explain part of it.
But according to the instructions, I have to use the given data. The first news event mentions a 12.44% pre-market rise, and the second mentions an 18.31% intraday rise. However, the user's input says the stock is up 73.75% intraday. That's a significant discrepancy. Perhaps the user intended to combine both events, but the percentages don't add up. Maybe the 73.75% is the total movement from pre-market to intraday, but the example in the input shows different numbers.
Alternatively, maybe the user made a mistake in the input. But I have to work with what's provided. The first news event's summary says the stock rose 12.44% in pre-market, and the second says it rose 18.31% intraday. The user's input states the stock is up 73.75% intraday. That's conflicting. However, the user's example input had a 4.23% pre-market move, and the output used that. So maybe the user expects me to take the given percentage (73.75%) and link it to the news events, even if there's a discrepancy.
Looking at the two news events, Reason 2 seems more relevant because it's about an intraday movement. The AI and blockchain developments are likely the drivers. The first news event is about a pre-market move, which is a different session. The user's input is about an intraday move of 73.75%, so I should focus on Reason 2.
The second news event's content mentions the AI-assisted English learning system and the EDC blockchain system. The B2B revenue is lower, but the stock is up, so maybe the market is focusing on the new product launch and blockchain recognition rather than the revenue.
Therefore, the explanation should highlight the AI project and blockchain system as the main reasons for the intraday surge. The 73.75% is the percentage given, so even if the news events mention lower percentages, I have to use the provided data.
So the final output should state that NetClass Technology surged 73.75% intraday.
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