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Headline takeaway:
is trading with a 13.61% price rise recently, but technical indicators show a volatile market with unclear direction and bearish signals dominating. Our internal diagnostic score for technicals stands at a weak 3.96 out of 10, suggesting investors should be cautious.Analysts have been mixed in their outlook for TKO, with five of the top institutions issuing "Strong Buy" ratings in the last 20 days. The simple average rating is 5.00, while the performance-weighted score is 1.82, reflecting divergent historical performance across institutions.
stands out with a 100% historical win rate, while others like and Roth Capital have shown no success in their recent calls.The price trend is upward (13.61% rise), but analyst expectations are weighted bearishly, suggesting a mismatch. Here are the key fundamentals with their internal diagnostic scores:
The recent fund-flow data shows a mixed picture. While small and medium investors are showing inflow positivity, large and extra-large investors remain cautious. Specifically:
Our fund-flow score is 7.74 out of 10, which we classify as "good." However, the overall trend remains negative, with large players pulling back.
TKO has shown a mix of signals in the past five days. The most recent indicators include:
On August 14 alone, four signals were detected, including the RSI Overbought and Shooting Star, both of which are bearish. The overall trend is weak, with more bearish (3) than bullish indicators (1), indicating a market that is struggling to find direction.
TKO Group Holdings is in a complex situation. While fundamentals are mixed and technicals lean bearish, there is some positive retail inflow and a strong MACD signal. However, with three out of six recent indicators bearish and a technical score of 3.96, our recommendation is to wait for clearer momentum before taking a position. Investors may want to watch for a pullback or a stronger breakout signal before entering the trade.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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