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, 2025, , . The move followed a strategic shift in its quantum computing roadmap, which emphasized partnerships with academic institutions to accelerate error-correction research. Analysts noted the stock’s momentum could be tied to renewed investor confidence in long-term R&D potential, despite ongoing challenges in commercialization timelines.
Recent updates highlighted a collaboration with a top-tier university to co-develop scalable quantum processors, a move seen as critical for overcoming technical barriers in the sector. While the partnership lacks immediate revenue implications, market participants interpreted it as a signal of Rigetti’s commitment to maintaining a competitive edge in a rapidly evolving field. The stock’s performance also coincided with broader sector optimism, though its volume remained modest compared to peers in the tech space.
To set up this back-test reliably, I need to clarify a couple of points about the
and the mechanics: 1. Market universe: Which exchange(s) should the “top-500-by-volume” be selected from? • U.S. listed stocks (NYSE + NASDAQ) – default assumption • Another market (please specify). 2. Portfolio construction: Do you intend to: • Equally weight the 500 names each day and hold them for one trading day, rebalancing daily? • Or use another weighting scheme? 3. Practical implementation note: My current back-testing tools model one instrument at a time. To run a daily-rebalanced 500-stock portfolio we have two common work-arounds: a. Construct a synthetic index/ETF that tracks the equal-weighted return of the daily top-500 list (requires a data feed we’d need to import). b. Narrow the request to one representative security or a smaller basket that fits within single-ticker back-test constraints. Please let me know which option (and market) you’d like to proceed with, or if you’d like alternative suggestions.
Hunt down the stocks with explosive trading volume.

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