Berkshire Hathaway A Shares Drop 0.63% as $210M Volume Falls 23.76% to 454th in U.S. Equity Trading Activity Ahead of Fed Decision

On September 12, 2025, , . . equities, reflecting muted investor engagement ahead of the Federal Reserve’s policy decision later in the week.

Recent developments surrounding Berkshire’s strategic holdings and market positioning have drawn attention from institutional observers. A review of portfolio adjustments in late August revealed reduced exposure to energy and industrial sectors, while long-term investments in American Express and Apple remain stable. Analysts note that the firm’s emphasis on dividend-paying blue-chips aligns with its defensive strategy amid inflationary uncertainty, though short-term volatility remains tied to broader market sentiment.

Market participants are also monitoring Berkshire’s cash reserves, . The firm’s reluctance to deploy capital into public markets has led to speculation about potential private equity opportunities or infrastructure investments. However, no definitive announcements have been made, leaving the stock’s direction partially dependent on macroeconomic catalysts rather than corporate actions.

To run this back-test accurately I’ll need a few extra details and (because of the way the back-testing engine works) possibly to adjust the set-up slightly. Could you please confirm the following? 1. Universe definition • Do you want all U.S. listed common stocks (NYSE + NASDAQ + NYSE Arca) considered, or a different universe? • If the universe is large, do you already have (or can you supply) a ticker list? – The engine we use takes a single-ticker input, so for a multi-stock basket we would run the logic across that ticker list and aggregate the results. I’ll prepare the aggregation, but I need to know the list or the rules for constructing it. 2. Price used for entry/exit • Enter at same-day close and exit next-day close (common “close-to-close” one-day hold)? • Or enter next-day open and exit next-day close (“open-to-close”)? • Let me know which you prefer. 3. Position sizing • Equal-weight across the 500 names each day? • Any transaction cost assumption you’d like included? 4. Output style • Do you want the aggregated portfolio return curve, daily P&L and summary statistics (CAGR, Sharpe, max drawdown, hit-rate, etc.)? • Anything else you’d like reported? Once I have these details I can generate the data-retrieval and execution plan automatically and run the full back-test for you.