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On October 1, 2025,
(RGTI) closed with a 0.20% increase, trading at a volume of $2.72 billion, ranking 33rd in market activity. The stock's performance reflected modest momentum amid broader market fluctuations, with its trading volume underscoring investor engagement in quantum computing equities.Recent developments highlighted in market analysis suggest that Rigetti's position as a key player in quantum hardware development continues to attract strategic interest. While no direct corporate announcements were disclosed in the provided materials, the firm's ongoing partnerships and research milestones remain central to its valuation narrative. Analysts noted that the sector's growth trajectory, driven by advancements in quantum processing capabilities, has sustained long-term investor confidence despite short-term volatility.
To run this back-test precisely we would need to: 1. Obtain daily trading-volume data for every U.S. listed stock since 2022. 2. Rank all names each day, select the top 500, buy them at that day’s close (or open of next day), and liquidate at the next day’s close. 3. Re-balance the portfolio every session and aggregate the returns of 500 positions per day. Unfortunately, the current single-ticker back-testing engine available in this workspace is not designed for such a large, cross-sectional, daily-rebalanced portfolio. (Each engine run handles one symbol at a time; feeding 500 symbols × 700+ trading days would require hundreds of thousands of individual runs, which isn’t feasible here.) Two practical alternatives: A. Narrow the universe so that we can run a manageable number of symbols (e.g., “top 50 by volume within the S&P 500 each day”). B. Approximate the idea with an index or ETF proxy—for instance, track how SPY behaves on days when its own volume appears in the market’s top decile, then hold for one day. Could you let me know which direction (or another) you’d prefer so I can set up the appropriate test?

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