Goldman Sachs Rises on 2025 Rate Cut Hopes as $1.5B Volume Ranks 53rd in Market Volatility Play

. 17, , ranking 53rd in the market. . Analysts highlight that reduced borrowing costs could drive market volatility and , . This aligns with broader trends where and strategic agility are critical for banking stocks to navigate compressed net interest margins.

GS’s performance reflects its unique exposure to investment banking and asset management, which thrive in lower-rate cycles. While specific Q1 2025 data for GS is not detailed, peers like Morgan Stanley reported significant revenue growth during the same period, underscoring favorable market conditions. The firm’s ability to capitalize on advisory and trading divisions, coupled with its global market presence, positions it to outperform in a landscape where traditional banking margins face pressure. Investors are advised to monitor 2026 projections, , as strategic positioning becomes pivotal for long-term gains.

To make sure I design the back-test exactly the way you intend, could you please confirm a few details? 1. Stock universe • US-listed equities (NYSE + NASDAQ + AMEX) by default, or a different market? 2. Ranking metric • “Daily trading volume” measured by (a) number of shares traded or (b) dollar value traded? 3. Trade and exit prices • Enter positions at the close of day t, exit at the close of day t + 1 (one full trading day later)? 4. Transaction costs / slippage • Assume zero costs, or would you like to specify commissions and slippage? 5. Weighting scheme • Equal weight across the 500 stocks each day (default), or value-weighted? Once I have these points, I can generate the signals and run the back-test from 2022-01-03 (first trading day of 2022) through today.