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Takeaway:
(LI.O) faces a weak technical outlook, and despite a positive recent price rise of 2.11%, analysts appear divided and bearish overall.Recent news includes global economic and policy shifts that could indirectly affect Li Auto’s operations:
The recent analyst consensus for Li Auto is mixed: five institutions have rated it "Neutral" in the last 20 days, but none show strong conviction. The simple average rating score is 3.00, while the performance-weighted rating is a low 0.42—highlighting the poor historical performance of most analysts involved.
Historical performance of analysts includes:
Despite a recent price rise of 2.11%, the market expectations remain pessimistic, and analyst ratings are largely at odds with the current price trend.
On the fundamental side, the model highlights several key factors:
Despite a positive overall fund-flow score of 7.68 (good), the flow at the block level is bearish. The block inflow ratio is 0.4711, while the overall inflow ratio is 0.4787. This suggests that while retail and small investors are slightly more bullish (small inflow ratio: 0.4948), large and extra-large money flows are moving out.
This divergence implies that while retail traders may be optimistic, institutional and large investors remain cautious or bearish about Li Auto’s near-term prospects.

In the last 5 days, key signals appeared on multiple days:
These signals point to a weak and fragmented momentum, with more bearish than bullish patterns emerging. The key technical insight is that bearish signals (4) heavily outnumber bullish ones (0), reinforcing the need for caution.
Actionable takeaway: Investors should consider avoiding Li Auto (LI.O) for now due to the weak technical indicators and lack of strong analyst support. While there are some positive signs in the price action, the internal diagnostic scores and fund-flow patterns indicate underlying uncertainty. Watch for any meaningful change in analyst sentiment or a strong rebound in technical strength before considering a position. For now, patience is key.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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