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Headline Takeaway: The stock is showing a recent price rise of 1.84%, but technical indicators remain weak with more bearish than bullish signals. Stance: Caution is advised.
Recent Developments:
Average Rating Score: The simple average rating is 4.40, while the performance-weighted rating is 3.89. Analysts show a generally optimistic stance, with 5 "Strong Buy" ratings, 4 "Buy" ratings, and 1 "Neutral" rating among the 8 involved institutions.
Rating Consistency: Analysts have mixed views with some institutions showing high historical accuracy (like
with a 66.7% win rate) while others, such as Susquehanna, have underperformed expectations with a 28.6% win rate.Price Trend Alignment: The current upward price trend aligns with the generally positive expectations of analysts, though some caution is warranted due to the mixed signals from technical indicators.
Key Fundamental Factors:
Internal Diagnostic Scores (0-10) for Key Factors:
Big money is on the sidelines as fund flows are negative across all categories. The fund flow score is 7.89 (internal diagnostic score), indicating a good performance in terms of detecting a consistent negative trend in inflows.
The technical picture is weak with a technical score of 3.7 (internal diagnostic score). Analysts should be cautious, as bearish indicators currently outweigh the bullish ones.
Recent Chart Patterns (from last 5 days):
Internal Diagnostic Scores for Indicators (0-10):
Key Insights: The market is in a volatile state, and the direction is not clear. Bearish indicators are clearly dominant (3 vs. 1 bullish).
Actionable Takeaway: Given the mixed technical signals and weak technical score, investors should consider waiting for a clearer breakout before taking new positions. The fund flow and analyst ratings are more positive, but the internal diagnostic score for fundamentals is only 3.51. A pullback or clearer bullish confirmation might be a better entry point.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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