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Takeaway:
(TXN) shows strong fundamentals but faces a technically weak market environment with conflicting analyst ratings. Investors should watch for clarity in the near term.Analysts show a divergent view on
. The simple average rating is 4.00, while the historically performance-weighted rating is 1.95. This suggests a high degree of dispersion among analysts, with no clear consensus.The stock’s current price trend is positive (0.50% rise), but the weighted analyst expectation is bearish, creating a mismatch between analyst sentiment and price movement.
Texas Instruments’ fundamental score is 7.55, reflecting strong underlying business health. Key fundamental values include:
These metrics underline strong profitability and liquidity but also highlight some cost inefficiencies.
The fund-flow pattern score is 7.1, indicating good overall performance. However, the breakdown reveals mixed behavior:
While large investors are showing some optimism, the overall trend remains bearish. Retail investors are also showing a negative bias, indicating a cautious market.
The technical score for Texas Instruments is 4.18, reflecting weakness. The recent indicators include:
Notable patterns in the last five days include: WR Oversold and RSI Oversold on August 1 and August 4, and Ex-Dividend and Dividend Record Dates on July 31.
Overall, the technical indicators suggest mixed momentum with no clear trend. The market appears to be in a consolidation phase with uncertain direction.
Texas Instruments is in a strong fundamental position with a score of 7.55, but technical indicators and analyst sentiment are mixed. The market is consolidating without a clear trend, and large investors are showing divergent behaviors.
Actionable takeaway: Given the mixed technical signals and divergent analyst ratings, investors should monitor the market for further clarity and consider waiting for a pullback before making significant moves. Keep a close eye on upcoming earnings reports and any developments in the tariff debate, which could significantly impact the stock’s trajectory.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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