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Headline Takeaway:
appears to be in a state of technical neutrality, with mixed analyst sentiment and a recent price decline of 2.17%. Take a cautious stance for now.Recent analyst sentiment is mixed, with one "Buy" and one "Neutral" rating from two institutions in the last 20 days. The simple average rating score stands at 3.50, while the performance-weighted rating score is 2.55. Analyst ratings are inconsistent, with a 50.0% win rate for
(Saket Kalia) versus just 25.0% for DA Davidson (Peter Heckmann). Notably, these scores are slightly aligned with the current price decline, suggesting that market expectations have been somewhat pessimistic recently.Key Fundamental Factor Values and Internal Scores:
Recent money-flow data shows mixed activity across investor segments. Large and extra-large investors are showing positive inflow trends (51.43% and 50.22%, respectively), while small investors are pulling back (49.93%). The overall fund-flow trend is negative, with big-money players slightly more optimistic than retail investors. The fund-flow score is 7.47 (good), suggesting that large players are still cautiously optimistic about the stock’s prospects despite the recent price dip.
Technically, Tyler Technologies is in a state of strong neutrality with an internal diagnostic score of 6.63 for the "Williams %R Oversold" indicator. This suggests the stock is neither clearly bullish nor bearish, with balanced long and short signals over the past 5 days. Key insights from recent charting include:
With a technical score of 6.63 and a fundamental score of 5.64, Tyler Technologies remains in a holding pattern. Analyst sentiment is mixed, and while large investors show some optimism, the price has fallen recently. Consider waiting for a pull-back or clearer technical signals before taking a larger position. In the coming weeks, keep an eye on any follow-up earnings reports or news of regulatory changes that could shift investor sentiment more decisively.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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