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Takeaway:
(JCI) is showing a cautious bullish technical setup with mixed analyst sentiment.Johnson Controls appears to be in a technical bull phase, with 2 bullish and 0 bearish signals, but analysts are split on the stock's near-term direction. The technical score is a strong 7.28, while the average analyst rating is 4.00 and the performance-weighted score is 3.70.
Average rating: 4.00 (simple mean)
Weighted rating: 3.70 (performance-weighted)
Rating consistency: Analysts are divided in their outlooks, with only one recent "Buy" recommendation from
. This mismatch with the current price trend, which shows a 2.00% decline, indicates uncertainty.Key fundamental values and model scores:
The mixed fundamental indicators suggest the company is managing margins well but faces challenges with liquidity and valuation.
Overall inflow ratio: 47.63% – The stock is showing a negative overall trend in fund flows, with all categories from small to extra-large showing negative movement.
Big-money vs. retail: Large and institutional money flows are down, which often indicate caution or bearish sentiment. Retail flows (small investors) are also down, reinforcing the bearish bias.
The fund flow score is 7.7 (on a 10-point scale), which is considered good, but the negative trend suggests investors may be locking in profits or moving funds elsewhere.
Internal diagnostic scores (0-10):
Recent chart patterns:
These signals indicate that the stock is gaining bullish momentum, though the market remains volatile and the direction is not yet clear.
Johnson Controls is in a cautious bullish phase with strong technical support but mixed analyst sentiment and declining fundamentals. The internal diagnostic score of 7.28 highlights strong technical strength, while the 7.7 fund flow score suggests positive inflow dynamics. Investors should watch for a confirmation of the bullish MACD signals and consider waiting for a potential pull-back before entering long positions.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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