Amex Gains 0.6% on Upgraded Price Target as Travel App Drives Momentum Volume Ranks 202nd in Market Activity

On September 15, 2025, , , . , signaling improved analyst confidence in its long-term potential. This adjustment follows recent strategic moves, including the launch of an all-in-one travel app and digital tools to enhance the premium travel experience, which align with broader trends in financial services innovation.

. . However, , .

Despite the positive rating change, , including regulatory scrutiny and competition from digital-first financial platforms. The firm’s recent product launches, , aim to address these challenges by offering differentiated value propositions to high-net-worth clients. .

It looks like you’d like to evaluate a daily-rebalanced portfolio that:

• Each trading day, ranks the entire stock universe by that day’s trading volume

• Buys the top-500 names (equal-weighted) at the close (or open)

• Holds the positions for exactly one trading day, then repeats the process

• Covers the period 2022-01-01 through the most recent trading day

At the moment, the back-test tools that are wired into this chat are designed for single-ticker or single-event analysis rather than a rolling, multi-ticker portfolio that changes constituents every day. To give you the most accurate answer, could you let me know which of the following options you prefer?

1. A simplified proxy: for example, use an equal-weighted S&P 500 ETF (or another representative index) as a stand-in.

2. A conceptual, statistics-only answer (no formal back-test), describing what we’d expect from such a strategy and where its edge—if any—would likely come from.

3. Wait while we assemble a custom data pull and run an offline multi-asset back-test (this would require additional time and assumptions, including exchange, transaction costs, and precise execution timing).

Once I know which direction fits your needs, I can proceed accordingly.