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Takeaway:
(TYL) is currently in a price slump (-0.21%), with mixed analyst ratings and weak technical signals suggesting caution for short-term investors.Analysts remain split on Tyler Technologies, with a simple average rating of 3.50 and a historical performance-weighted rating of 2.55, suggesting a cautious outlook. The stock currently trends downward, which aligns with the bearish tilt in the analyst ratings.
The fundamental score is 6.81, which is reasonably strong given the weak technicals, indicating solid core business performance.
Despite a modestly bearish price trend, Tyler Technologies continues to show robust cash flow and moderate returns on equity, though some metrics like inventory turnover and profit-MV point to potential inefficiencies or weak growth signals.
Big money is moving out of Tyler Technologies across all major categories. The fund-flow score is 7.68 (internal diagnostic score of "good"), but this is misleading due to the uniformly negative trend in flows.
This suggests that both retail and institutional investors are reducing their exposure. The block inflow ratio of 45.73% reinforces the notion that large-scale selling is occurring, adding pressure on the stock price.
Technically, Tyler Technologies is in a weak state, with an internal technical score of 3.84, indicating the stock should be approached with caution.
The pattern is repetitive and weak, with bearish signals dominating and no strong bullish reversal indicators. The market remains calm with limited momentum, and there’s no clear direction.
While Tyler Technologies maintains a reasonably strong fundamental position (6.81 internal score), the technical outlook is weak, with bearish signals dominating and money flows trending downward. Analysts are also split in their recommendations, with one underperform and one buy rating. Investors should consider waiting for a clearer breakout or pullback before committing new capital. If you're already invested, monitor for any large institutional activity or strong fundamental catalysts that could reverse the current downtrend.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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