Apollo's $330M Volume Ranks 334th as Shares Edge Up 0.33% in Low-Liquidity Market

On September 15, 2025, , ranking 334th in market activity. , outperforming broader market trends in low-liquidity conditions.

Recent developments highlight strategic shifts in Apollo's credit business, . The firm's third-quarter earnings guidance, though not yet released, . Institutional trading patterns suggest growing institutional exposure, .

Market participants are closely monitoring Apollo's balance sheet adjustments, . The firm's recent partnership with a has raised questions about potential conflicts of interest, though no regulatory actions have been reported. Analysts emphasize that Apollo's performance remains tied to , including interest rate trajectory and credit spread dynamics.

To run this back-test properly we need to pin down a few implementation details that aren’t yet fully specified. Could you confirm / choose the following so I can set the data–gathering and simulation up correctly?

1. Stock universe • All U.S. common stocks (≈ 6 000 tickers) • S&P 500 constituents only • Another universe (please specify)

2. Ranking/measurement time-stamp • Use the previous day’s total $-traded volume (Price × Shares) • Use the previous day’s share-volume only

3. Trade execution price • Buy today at next-day market open, sell at the same day’s close (open–to–close return) • Buy at yesterday’s close, sell at today’s close (close–to-close return)

4. Position sizing • Equal-weight each of the 500 names chosen each day • Weight by dollar volume (proportional to rank)

5. Transaction costs • Ignore commissions/slippage • Apply a per-trade cost (please specify bps if you want this)

Once I have these points I can pull the necessary volume and price data, form the daily portfolios, and run the 1-day-hold back-test from 2022-01-03 (first trading day of 2022) through the present.