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Headline Takeaway: Tesla's stock has risen by 6.89% recently, but technical indicators remain mixed with a 6.0 internal diagnostic score (0-10) signaling strong neutrality.
Tesla’s analyst landscape is split, with a simple average rating of 3.11 and a performance-weighted score of 4.61. While seven analysts have issued ratings in the past 20 days, opinions vary widely: 5 “Buy” ratings, 2 “Neutral,” and 2 “Strong Sell.” This indicates a lack of consensus.
The price has risen by 6.89%, but analyst ratings show mixed signals. High-quality institutions like B of A Securities (100.0% historical win rate) and RBC Capital (75.0% win rate) remain bullish, while others, such as Needham (0.0% win rate), have underperformed.
Key fundamental factors and their scores include:
Tesla has experienced a negative overall trend in fund flows across all sizes of investment, with 7.75 internal diagnostic score (0-10), suggesting that while large and institutional money is moving out, smaller retail inflows remain slightly more stable:
This imbalance may signal caution among institutional investors despite bullish technical signals.
Tesla’s technical analysis shows a 6.0 internal diagnostic score (0-10), reflecting technical neutrality with moderate attention. The chart has seen a recent MACD Golden Cross on August 7 and WR Overbought signals on multiple days, including August 11 and 13.
Indicator scores and insights:
Overall, the market is in a volatile and unclear trend, with mixed signals from recent indicators. Investors should remain cautious and monitor for directional clarity.
Tesla remains in a technical no-man’s-land, with strong fundamentals but mixed analyst sentiment and volatile market conditions. The MACD Golden Cross is a positive sign, but the WR Overbought suggests caution in the short term. Actionable takeaway: Consider waiting for a pull-back before entering long positions, and keep a close eye on institutional fund flow changes in the coming weeks.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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