Cipher Mining's $0.41 Billion Volume Dives 41% to 285th Rank as Crypto Sector Wavers

On September 11, 2025, , . This placed the cryptocurrency miner at rank 285 in terms of trading activity among listed equities. The underperformance followed a combination of sector-specific pressures and strategic shifts in investor positioning within the digital asset space.

Analysts noted that recent in key markets have heightened volatility across crypto-related assets. A proposed framework for institutional participation in digital currencies, though still in consultation, has triggered mixed reactions. Investors appear to be recalibrating risk exposure amid uncertainty over compliance timelines and operational adjustments required by firms like Cipher. The stock’s liquidity contraction reflects broader market caution rather than company-specific fundamentals.

Strategic repositioning by institutional players was also observed. have been rotating out of smaller-cap crypto names into more liquid assets, a trend that accelerated during the week. While Cipher maintains a leading position in mining infrastructure, its valuation metrics remain sensitive to macroeconomic signals. Recent bond yield fluctuations and dollar strength have exacerbated short-term selling pressure, particularly among leveraged positions.

I understand the idea: each trading day you would like to form a portfolio that contains the 500 stocks with the highest share-trading volume, hold that portfolio for exactly one day, and then rebalance the next day, starting from 1 Jan 2022 through today. At the moment the built-in back-testing engine we have access to only works on a single instrument (one ticker) at a time, so it cannot directly track a dynamically changing 500-stock basket. To move forward we have two practical options: 1. Proxy approach • Use a highly liquid ETF or index that you feel is a good stand-in for “high-volume U.S. large-cap stocks” (for example, SPY or another broad-market ETF). • We then test the one-day-holding strategy on that single instrument. 2. Custom universe approach • You provide (or we jointly compile) a static list of tickers you consider representative of “top-volume” names. • We run separate single-ticker back-tests and then aggregate the daily returns externally (outside the current tool stack). Please let me know which path you prefer—or if you’d like to adjust the requirement in another way—and I’ll proceed immediately.