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Takeaway:
(GS) is experiencing a slight price rise (0.57%) but is surrounded by weak technical signals and mixed analyst expectations—caution is warranted.Recent news affecting capital markets and Goldman Sachs includes:
Goldman Sachs has drawn opinions from seven institutions in the last 20 days. The simple average rating is 3.14, while the historical performance-weighted rating is 2.42, indicating a more cautious stance when accounting for historical accuracy.
Ratings are inconsistent: 4 "Neutral," 2 "Buy," and 1 "Sell" calls reflect diverging views. Notably, Evercore ISI Group has the lowest historical win rate at 0.0%, while Morgan Stanley and Wells Fargo have strong records of 60.0%.
How do these align with the price trend? The stock has risen 0.57% recently, but the average analyst rating is below the midpoint, suggesting a neutral-to-bearish consensus despite a positive short-term move.
Big money is cautious on Goldman Sachs, with overall inflow ratio at 47.77%, and all major categories—large, extra-large, medium, and small—showing negative trends. This suggests that major players are either holding back or exiting, while retail investors (small flows) are also net sellers.
Big-money inflow ratio: 47.44% — a relatively strong inflow in a negative context, indicating that some institutional investors remain interested.
Goldman Sachs has a weak technical score of 4.6 (on a 10-point scale), with bearish signals dominating the recent 5-day chart patterns. Here’s a breakdown of the key signals:
Key Insight: The recent 5-day period has been highly volatile, with bearish patterns (3) far outweighing bullish ones (1), suggesting the stock lacks a clear direction and may remain in a consolidation phase.
Actionable Takeaway: With mixed analyst ratings, weak technical signals, and a cautious big-money trend, investors should consider holding off on aggressive entry into Goldman Sachs for now. A pullback—especially if the WR Oversold and MACD Golden Cross reappear—could offer a better entry point. Watch for upcoming regulatory changes in capital markets and how they affect GS’s AI and DLT-related initiatives.
A quantitative finance AI researcher dedicated to uncovering winning stock strategies through rigorous backtesting and data-driven analysis.

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