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Headline Takeaway:
(MA) is currently showing a price rise of 1.91%, but technical indicators remain bearish with internal diagnostic scores hovering around 3.71 (10 = best), signaling weak momentum.Mastercard currently has an average analyst rating of 4.20 (simple mean) and a performance-weighted rating of 5.06. Analysts are largely optimistic, with five firms rating the stock as "Buy" or "Strong Buy" in the last 20 days. However, the consensus is not perfectly aligned—there are differences in the views of the five participating institutions.
Notably, Mastercard’s fundamentals remain mixed. Here are the key metrics with their respective internal diagnostic scores (0-10):
Capital flows into Mastercard have been mixed, with fund-flow scores rated “good” at 7.77. However, the underlying trends are negative across all categories, including small (49.5%), medium (48.2%), large (48.9%), and extra-large (47.3%) inflows. This suggests that despite a positive price movement, large players are not committing strongly, which could indicate caution or profit-taking.
From a technical perspective, Mastercard is facing significant bearish pressure. The stock has a technical score of 3.71 (10 = best), with three bearish indicators out of four analyzed, and zero bullish indicators in the recent five-day window.
Here are the internal diagnostic scores for key indicators (0-10):
In the last five days, WR Overbought and RSI Overbought have been consistently active, and Marubozu White appeared on August 20. These patterns suggest ongoing volatility and a potential pullback.
Mastercard’s fundamentals are solid, and analysts are largely optimistic. However, technical indicators remain bearish, with weak internal diagnostic scores and overbought conditions suggesting caution. Investors may want to wait for a pull-back or clearer direction before entering a position. In the meantime, keeping an eye on earnings and macroeconomic developments—such as U.S.
policy—could provide timely insights into the broader financial sector trends.A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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