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On September 19, 2025, , . , .
The surge in trading interest was primarily attributed to renewed market focus on renewable energy sector dynamics. Recent developments highlighted First Solar's strategic positioning in utility-scale solar projects, with analysts noting potential regulatory tailwinds from pending for clean energy infrastructure. These factors contributed to heightened investor engagement without direct reference to broader market indices or unrelated sector movements.
Volume expansion was further supported by institutional activity observed in post-market hours, though no official filings disclosed specific catalysts. The stock's performance diverged from peers in the solar manufacturing space, reflecting distinct operational metrics tied to First Solar's project pipeline and .
To run this back-test accurately I’ll need to clarify a few practical details about the universe and the exact trading rules, because they determine how I retrieve the data and build the daily portfolio: 1. Market universe • Should the selection pool include every listed U-S. common stock (NYSE + NASDAQ + AMEX), or a narrower list such as the Russell 3000 constituents on each date? 2. Ranking moment & execution price • Volume for a given day is only known after the close. Typical implementations therefore: – rank by today’s volume at the close of day t, – enter positions at the next day’s open (t+1 open), – exit at the next day’s close (t+1 close). Is that the convention you’d like? 3. Weighting scheme • Equal-weight each of the 500 names every day (default), or size by dollar volume / market-cap? 4. Trading frictions • Should I ignore transaction costs and slippage (default), or include a flat commission or bid–ask spread estimate? If the above defaults (U-S. common stocks, equal weight, next-day execution, zero costs) are acceptable, just let me know and I’ll start retrieving the data and running the back-test from 2022-01-03 to the present.

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