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Teledyne (TDY) is currently in technical neutrality, with mixed signals from key indicators suggesting investors should take a cautious, watchful approach.
Recent news items highlight Teledyne's operating environment and strategic direction. Notable stories include:
Analysts remain divided on Teledyne, with a simple average rating of 4.00 and a weighted performance-adjusted rating of 2.41. This indicates a relatively neutral stance overall, but the historical performance of analysts suggests caution.
Notable contributors include UBS’s Damian Karas (historical win rate: 50%) and Morgan Stanley’s Kristine Liwag (historical win rate: 100%). Recent ratings include a “Strong Buy” and a “Neutral” within the last 20 days, showing divergence in expectations.
Against this, the stock has experienced a price drop of -2.50% recently, aligning with a more bearish weighting in the analyst ratings.
Key Fundamental Metrics:
The latest fund-flow data paints a negative trend for Teledyne. Across all investor sizes, inflow ratios are below 50%, with the smallest and largest investor segments showing the least inflow activity. Specifically:
With 7.51 as an internal diagnostic score (0-10) for this trend, it suggests a slight but consistent outflow of capital at present.
Technical indicators show mixed signals, with a technical score of 5.17 and a wait-and-see recommendation. Here are the key patterns from the last five days:
The MACD Death Cross and Long Lower Shadow are the most bullish, while the Bearish Engulfing pattern suggests caution. The overall trend remains volatile, with no strong directional bias.
Teledyne is in a holding pattern, with mixed signals from both technical and fundamental indicators. The earnings release on July 23 and the MACD Death Cross on July 30 are key technical triggers to monitor. For investors considering entry or exit, it’s prudent to wait for a clearer trend to emerge. Until then, holding off on large new positions seems advisable.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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