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Takeaway: While M&T Bank’s shares have risen 2.62% recently, the technical outlook is weak, with more bearish than bullish signals. Investors should tread carefully.
Recent developments include:
Average rating score (simple mean): 2.67
Weighted rating score (performance-weighted): 1.52
Analyst ratings are inconsistent: Among the three active analysts, two have given “Neutral” ratings and one a “Sell,” indicating a lack of consensus. The analysts’ historical performance is also mixed, with Wells Fargo’s Mike Mayo standing out with a 60% win rate, while others lag behind.
These ratings are not aligned with the recent 2.62% price increase, suggesting a mismatch between sentiment and performance.
Key fundamental factors and internal model scores:
While some factors show strong performance, the overall fundamental score of 3.59 (on a 0–10 scale) suggests a moderate valuation, with room for improvement in profitability and efficiency.
Recent money-flow data shows a positive trend for M&T Bank, with inflow ratios across all categories trending above 50%:
With 7.82 internal diagnostic score for fund flow, the asset is showing strong interest from both retail and institutional investors, suggesting a balanced demand across investor segments.
The technical outlook for M&T Bank is mixed. Three bearish and only one bullish indicator emerged in the last five days, with the overall trend described as “Weak technology, need to be cautious.”
Recent chart activity by date:
These signals highlight a volatile short-term environment with conflicting bullish and bearish momentum.
M&T Bank presents a mixed picture: positive money flows and moderate fundamentals are countered by weak technical signals and mixed analyst sentiment. With an internal diagnostic score of 4.0 on technicals and 3.59 on fundamentals, the stock is not a clear buy at this time. Investors may want to wait for a clearer trend or look for a pullback before entering the position.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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