Copart’s 0.37% Gain Amid 30.3% Volume Drop Leaves It 187th in U.S. Liquidity Rankings

. 8, 2025, , . equities by liquidity. The stock’s modest gain occurred amid mixed market sentiment as institutional activity remained subdued.

, driven by improved vehicle inventory management and higher salvage value recovery. , elevated interest rates continue to pressure smaller players in the automotive auction sector, .

The stock’s performance coincided with broader market volatility, as investors balanced concerns over inflationary pressures and the Federal Reserve’s policy outlook. , .

To build an accurate back-test for “buy the top 500 stocks by daily trading volume and hold them for one day (rebalance every trading day) from 2022-01-01 to the present,” I need to confirm several practical details so that the data I pull, the ranking rule, and the performance calculation all match what you have in mind: 1. Universe • Should we consider all U.S. common stocks (NYSE + NASDAQ + Amex) or another specific universe (e.g., only S&P 500 members)? • ADRs, ETFs, and penny stocks: include or exclude? 2. Volume metric • Ranking by dollar volume (Price × Shares) or by raw share volume? • Use today’s volume to pick tomorrow’s portfolio (i.e., trade at next day’s open) or use yesterday’s close volume and trade today’s open? 3. Trade execution assumptions • Entry price: next day’s open or same-day close? • Exit price: same day’s close (intraday round-trip) or next day’s open (i.e., a full trading day gap)? • Slippage / transaction cost assumptions (if any). 4. Rebalancing / weighting • Equal-weight each of the 500 names at entry (i.e., 0.2 % each) and fully rebalance daily? 5. Data sourcing • My toolkit can fetch individual ticker data and then simulate a strategy. Running ~500 tickers per day over three years is feasible, but clarifying the above will let me set the retrieval and calculation plan correctly.