Stride's 0.32% Drop and 50.5% Volume Plunge Send It to 500th in U.S. Equities

Stride (LRN) closed Monday's trading session at a 0.32% decline, with a total trading volume of $220 million - a 50.49% drop from the previous day's activity. The stock ranked 500th in trading volume among U.S. equities for the session.

Recent market dynamics suggest mixed investor sentiment toward the learning technology provider. While no direct corporate announcements impacted the stock's performance, broader market conditions and sector-specific trends appear to have influenced trading patterns. The significant drop in trading volume indicates reduced liquidity and potentially lower short-term institutional interest.

Analysts note that Stride's performance remains sensitive to macroeconomic signals and educational technology sector rotations. The stock's position near the bottom half of volume rankings suggests limited immediate catalysts driving capital flows into the name. However, technical indicators show no clear breakdown patterns in price structure or order flow.

To run this test accurately we need to build, every trading day, an equal-weighted basket that contains the 500 U.S.-listed stocks with the highest dollar trading volume, and roll the basket forward one day at a time between 2022-01-03 and 2025-09-16.

Because that involves simultaneously handling hundreds of tickers, please confirm a couple of practical details so I can set the data-gathering and back-testing workflow correctly:

1. Universe • Use all common stocks listed on NYSE / NASDAQ / AMEX (typical U.S. equity universe)? • Exclude non-common share classes (e.g., ADRs, ETFs, preferreds)?

2. Basket construction & weighting • Equal-weight each of the 500 names selected each day? • Trade at the next day’s market open (simplest) or the close? Your request said “hold them for one day,” so I plan to buy at today’s close and sell at tomorrow’s close unless you prefer another convention.

3. Transaction costs • Ignore commissions/slippage (pure theoretical return) or assume a cost per trade (e.g., 2 bps in/out)?

Once you confirm (or tweak) those items, I’ll generate the data-retrieval plan, fetch the required daily volume & price data, build the daily 500-stock baskets, and run the performance statistics.