Wolfspeed predicted price today


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The deep research logic is organized as follows:
Okay, let's tackle the user's question about Wolfspeed's predicted price today. First, I need to check the provided references and background information. The user is asking for the predicted price of WOLF today, which is July 1, 2025.
Looking at the references, there are several relevant queries. The first one is the Time-Series Price Trend Forecast (Reference 2), which shows a bearish trend with a continuation probability of 40%. The Support and Resistance Channel-Based Trend Forecast (Reference 3) indicates a bullish forecast with a buy advice. The Trend Similarity-Based Price Forecast (Reference 4) provides specific price predictions for several dates starting from July 1, 2025.
Wait, the user is asking for today's price, which is July 1, 2025. Let me check Reference 4. The forecast starts on July 1, 2025, with a mean forecast price of $0.40. The confidence intervals are 34% CI: $0.39 to $0.40 and 68% CI: $0.39 to $0.41. That's a very tight range, suggesting high confidence.
But there's also Reference 10, which shows the closing price on July 1, 2025, as $0.79 with a last change of 98.09%. That's a huge jump. The user's current time is 2025-07-01 23:36:45, so the market has closed, and the closing price is $0.79. However, the forecast in Reference 4 for July 1 is $0.40. There's a discrepancy here.
Wait, maybe the forecast in Reference 4 is for future dates starting from July 1, but the actual closing price on July 1 is $0.79. That's a significant difference. The user is asking for today's predicted price, which is already known from Reference 10. But the forecast in Reference 4 might be for the next day or future dates. Let me double-check the dates in Reference 4. The first entry is July 1, 2025, with a forecast price of $0.40. But the actual closing price on that day is $0.79. That suggests that the forecast might be incorrect or perhaps it's a typo. Alternatively, maybe the forecast is for the next trading day after July 1.
Wait, the user's current time is 2025-07-01 23:36:45, which is after the market close. The closing price for July 1 is $0.79. The forecast in Reference 4 for July 1 is $0.40, which is way below the actual closing price. That doesn't make sense. Perhaps the forecast in Reference 4 is for the next day, July 2, 2025, but the user is asking for today's price.
Alternatively, maybe the forecast in Reference 4 is based on data before the restructuring announcement. The user's question is about today's predicted price, which is after the restructuring news. The restructuring news caused a massive surge in the stock price, as seen in References 5-9, 11-14, 16-20, 22-24, 26. The stock jumped over 85% in pre-market trading on July 1, 2025, and closed at $0.79 with a 98.09% increase.
So, the actual closing price is $0.79, but the forecast in Reference 4 for July 1 is $0.40. That's conflicting. Maybe the forecast in Reference 4 is outdated or based on different data. Alternatively, perhaps the forecast is for the next day, July 2, 2025, but the user is asking for today's price.
Given that the user is asking for today's predicted price, the most accurate answer would be the actual closing price from Reference 10, which is $0.79. However, the user might be interested in the forecast for the next day or future dates. But the question specifically says "today," which is July 1, 2025.
Wait, the user's current time is 2025-07-01 23:36:45, which is after the market close. So the closing price for July 1 is already available. Therefore, the predicted price today would be the actual closing price, which is $0.79. However, the forecast in Reference 4 for July 1 is $0.40, which is lower. This discrepancy needs to be addressed.
Perhaps the forecast in Reference 4 is based on data before the restructuring news, which caused the stock to surge. The restructuring announcement
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