BitMine Stock Slumps 3.59% as $2.66 Billion Volume Ranks 22nd in Sector Reassessment

On September 15, 2025, , . . Recent developments surrounding the company's operational adjustments and sector-specific dynamics have drawn investor attention to its near-term trajectory.

Analysts observed that the decline in liquidity metrics coincided with a broader reassessment of risk profiles in the technology and mining infrastructure sectors. While no direct earnings or strategic announcements were reported, market participants noted elevated volatility in related thematic exposures, which may indirectly influence BitMine's valuation framework. The company's capital allocation strategy and project execution timelines remain focal points for stakeholders evaluating its medium-term potential.

To deliver an accurate, defensible back-test, I need to clarify a few practical details about the strategy and its data requirements: 1. Universe definition • Should the selection pool include every U.S.-listed common stock (NYSE + NASDAQ + AMEX), or a specific index/segment (e.g., Russell 3000, S&P 500 constituents, China A-shares, etc.)? • Are ADRs, ETFs, closed-end funds, and OTC listings to be included or excluded? 2. Daily execution mechanics • Entry price: buy today’s close, or tomorrow’s open? • Exit price (after the one-day hold): tomorrow’s close, or tomorrow’s open? • Are transaction costs (bid-ask spread, commissions, SEC/FINRA fees) to be modeled? If so, please specify assumptions. 3. Practical data limitations The current back-testing engine is built for single-ticker or event-driven studies. A daily 500-stock rotation requires portfolio-level simulation (position sizing, cash management, simultaneous entries/exits) that isn’t supported out-of-the-box. • If you’d like, we can approximate this strategy in one of two ways: a) Narrow the universe to a single “proxy” security (e.g., an ETF that is naturally among the highest-volume names such as SPY, QQQ) and test a volume-based timing rule on that instrument. b) Choose a smaller, fixed basket of high-volume tickers (e.g., the 50 or 100 most-traded megacap names) and run an equal-weight daily rotation among them. Please let me know which route (or any other refinement) best suits your objectives, and I’ll proceed with the detailed data-retrieval plan and back-test.