On Thursday, NIO surged over 7% to close at $4.94. This increase was primarily driven by a new report that named NIO the “best autonomous vehicle stock,” reaffirming a “Buy” rating with a price target of $7. Despite recent high volatility, market attention remains on whether sentiment can further improve. NIO’s trading volume for the day reached 73.5 million shares, approximately 57% higher than its three-month average volume of 46.9 million shares. Since its IPO in 2018, the company’s stock has declined by 28% cumulatively.
NIO’s stock price increase stems from renewed market focus on its autonomous driving potential, with Morgan Stanley reaffirming its “Buy” rating and $7 price target providing additional support. The rise was accompanied by higher trading volume, though the stock has experienced significant volatility recently. Against the backdrop of continued fluctuations among Chinese EV stocks, this gain is largely attributed to trading dynamics, reflecting the rapid impact of fund flows on the sector’s performance.
Recent analyst ratings, such as the upgrade by Macquarie Group, have helped stabilize market expectations. Going forward, delivery data and progress in the development of new models (such as the planned ES9) will serve as important indicators for investors to assess whether performance can be sustained.
In terms of news, NIO recently rolled out version 3.3.0 to Banyan system users, featuring the newly upgraded “NIO World Model NWM 2.0.” This update initially covers over 460,000 owners of the Banyan platform, including first-generation ET7 users released as early as 2021. The update achieves significant functional breakthroughs for the four Orin-X chips, and adaptation work for the “Cedar” series models has entered its final stage, with a rollout expected soon.
NIO founder Li Bin previously stated that three major system updates will be implemented in 2026, and the company has approved additional investment in cloud training computing power. Through large-scale data training, the system’s performance in long-tail scenarios is expected to continue improving. This upgrade marks a new phase in NIO’s intelligent driving technology, representing a key step from underlying architecture to real-world experience, though there remains room for optimization.
