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Fortive (FTV) is showing a weak technical outlook, with bearish indicators dominating and an internal diagnostic score of 1.88. This suggests caution for investors who may want to avoid exposure until the trend improves.
Recent global headlines highlight key developments outside of Fortive's immediate sector. Here are the most relevant ones:
Analysts remain cautiously neutral on Fortive, with a simple average rating of 3.00 and a performance-weighted rating of 4.12. While the ratings are not overwhelmingly negative, they are not bullish either, indicating a mix of expectations.
Notably, the price of Fortive rose by 5.54% in the last week, but this outperformance does not align with the neutral to bearish analyst outlooks, which are split in their assessments. For example:
Fortive's fundamentals are mixed, with a total internal diagnostic score of 4.62. Here's a breakdown of key metrics:
While some fundamentals like EV/EBIT and ROA are decent, the net profit and EPS growth are weak, which may explain the mixed analyst outlooks.
Fortive has attracted strong inflows from large institutional investors recently, although the overall trend remains negative. The inflow ratio for large and extra-large funds stands at 44.30%, slightly higher than the average inflow of 43.81%. This indicates that big players are showing some interest, but it's not enough to offset the bearish momentum.
Technically, Fortive is in a weak state with an internal diagnostic score of 1.88 and bearish signals dominating the chart. The bearish indicators include:
In the past five days, the stock triggered signals on the following dates:
These mixed signals indicate a market in flux, with limited momentum and a tendency to correct downward.
Fortive appears to be in a technical bear market with weak indicators, low inflows, and mixed analyst opinions. While some fundamental factors like EV/EBIT are positive, earnings and profit growth are dragging the stock down. Investors should consider avoiding Fortive for now and wait for a clearer upward trend or a strong positive earnings report before re-entering the stock.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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