Robinhood Rises 4.71% on $5.01B Volume Hits 15th in U.S. Equity Rankings

Robinhood Markets (HOOD) rose 4.71% on October 2, with a trading volume of $5.01 billion, ranking 15th among U.S. equities. The stock’s performance was driven by renewed retail investor activity and strategic updates addressing market volatility concerns. Recent regulatory clarity around trading platforms and evolving investor sentiment toward commission-free models contributed to the upward momentum.

Analysts highlighted the firm’s focus on expanding its options trading capabilities and enhancing user retention metrics. A revised risk management framework, announced in late September, aims to stabilize user flows during high-liquidity periods. The company’s ability to retain a significant share of daily trading volume despite broader market fluctuations has drawn attention from institutional observers.

I understand the strategy you’d like to test. At the moment, the available back-test engine is designed for a single-ticker (or single index/ETF) evaluation rather than a daily-rebalanced, 500-stock portfolio. Because of this technical limitation, I can’t directly run the exact “top-500-by-volume” universe back-test inside the current workspace tools.

Possible work-arounds: 1. Index proxy • Use a broad, highly liquid ETF (e.g., SPY or VTI) as a proxy. • This would show how an “aggregate U.S. equity market” performed under a 1-day holding cycle, though it won’t capture the cross-sectional rotation logic you described. 2. Representative subset • Specify a small set of liquid tickers (for example, the 10 or 20 most-traded stocks) and evaluate an equal-weight daily rotation among these. • This could at least illustrate the mechanics of the strategy with the available tools. 3. External data preparation • If you can provide (or upload) a ready-made daily file of the 500 symbols selected each day, I can feed that sequence of “buy lists” into a custom back-test.