Copart Shares Rise 1.58% on $240M Volume Climb to 466th in Market Activity as Auction Model Gains Traction

Copart (CPRT) surged 1.58% on October 8, 2025, with a trading volume of $240 million, ranking it 466th in market activity. The stock’s performance was driven by renewed investor confidence in its asset-light auction model and recent operational efficiency gains. Analysts noted that Copart’s Q3 earnings guidance, which highlighted a 12% year-over-year increase in active listings, reinforced its position as a key player in the used vehicle remarketing sector.

Recent developments underscored Copart’s strategic focus on expanding its digital infrastructure. The company announced a partnership with a major logistics provider to streamline vehicle transportation, reducing regional delivery times by an estimated 15%. Additionally, Copart’s Q3 preliminary data showed a 9% increase in buyer acquisition rates, attributed to enhanced platform algorithms and targeted marketing campaigns in high-growth markets.

To run this back-test robustly I need to nail down a few practical details first: 1. Market universe • Do you want all listed U.S. common stocks, or a narrower universe (e.g., Russell 3000, S&P 500, Nasdaq-100, etc.)? • If you’re interested in a non-U.S. market, please specify. 2. Ranking metric • “Daily trading volume” measured in number of shares or in dollar value (shares × price)? • Each trading day we’d re-rank the universe, buy the top-500 names, and close them out after one trading day—is that the intended rule? 3. Execution price assumptions • Enter at that day’s close and exit at the next day’s close? • Or enter at next day’s open and exit at that same day’s close? (This affects slippage assumptions.) 4. Transaction costs / slippage • Should we assume zero costs, or add a per-trade commission and/or bid-ask spread? Once I have this information I can craft the data-retrieval plan and run the back-test.