Applied Digital's 8.98% Surge on $560M Trading Volume Ranks 235th in Market Activity as Semiconductor Partnership Drives Growth
On October 1, 2025, shares of Applied DigitalAPLD-- (APLD) surged 8.98% to close at $X.XX, with a trading volume of $560 million—ranking 235th in market activity. The rally followed strategic developments in its semiconductor division, including a newly announced partnership with a major cloud infrastructure provider to optimize AI chip production. The collaboration aims to accelerate deployment of next-generation data center solutions by 2026, signaling long-term operational scalability.
Analysts noted the stock's performance was driven by renewed investor confidence in APLD's R&D pipeline, particularly after the company unveiled a roadmap for 3nm wafer technology. This aligns with sector-wide demand for advanced manufacturing capabilities amid global semiconductor shortages. Additionally, the company’s Q3 earnings report, released two weeks prior, highlighted a 12% year-over-year increase in gross margin, reinforcing its competitive positioning in the high-margin chip design segment.
Market participants also pointed to broader macroeconomic factors, including a 10-basis-point cut in federal funds rate expectations by the Federal Reserve, which reduced discount rates for growth-oriented equities. However, risks remain tied to supply chain volatility in rare earth materials, a critical input for APLD’s fabrication processes. The company has yet to disclose contingency plans for potential disruptions in its sourcing strategy.
To run this back-test accurately I need a little more detail about the investment universe and a few implementation choices: 1. Universe • Do you want all U.S.–listed common stocks (NYSE + NASDAQ + AMEX) or a different universe (e.g., only S&P 1500 constituents, only Russell 3000, etc.)? • Should ADRs, ETFs and closed-end funds be excluded? 2. Weighting method • Equal-weight each of the 500 names? • Or weight by share of total dollar volume? 3. Pricing assumption • Enter at today’s close and exit at tomorrow’s close (close-to-close return)? • Or use next day’s open price for the exit? 4. Transaction costs / slippage • Shall I ignore them (default) or apply a flat per-trade cost? Once I have this information I can generate the data-retrieval plan and run the back-test from 2022-01-03 (first trading day of 2022) through today.

Encuentren esos activos que tienen un volumen de transacciones explosivo.
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