Berkshire Hathaway's $2.11 Billion Trading Volume Ranks 29th Amid Kraft Heinz Split and Housing Sector Moves

On September 5, 2025, , . , reflecting investor sentiment amid corporate developments.

Berkshire’s ownership of Kraft Heinz, a conglomerate formed in 2015 with 3G Capital, has faced mounting scrutiny as the company announced a split into two publicly traded entities by late 2026. The decision follows a decade of underperformance, . , , acknowledged the partnership’s shortcomings, calling the merger a “brilliant idea” that failed to deliver expected efficiencies. The separation aims to streamline operations, with Global Taste Elevation focusing on Heinz condiments and North American Grocery managing brands like Oscar Mayer. However, analysts question whether the split addresses core challenges such as declining demand for processed foods and shifting consumer preferences toward healthier alternatives.

Separately, Berkshire has shown renewed interest in the , adding shares of to its portfolio. The company’s purchase of Lennar, a top U.S. homebuilder, contrasts with Wall Street’s pessimism over high interest rates and affordability crises. While Lennar’s margins have contracted and sales volumes declined, . Buffett’s strategy underscores a focus on undervalued assets amid macroeconomic uncertainty, though near-term challenges remain for the industry.

I understand the idea: each trading day we form an consisting of the 500 most actively traded stocks (by share volume), hold that for one day, it at the next day’s close, and then repeat this process from 2022-01-01 through today. To run this exactly we would need, for every trading day in the period: 1. Full-universe daily . 2. The list of that rank in the top-500 by volume each day. 3. Price series for every symbol in those daily lists so we can value the on entry and exit. Our current tool set works well for: • Single-ticker strategies; • Single-ticker (event lists or indicator thresholds); • tests. Unfortunately, it does not yet include a bulk, multi-ticker cross-sectional engine that can pull the entire , by volume each day, and hundreds of names simultaneously. That means I cannot execute the exact “top-500-by-volume” with the automated tools that are integrated here. Two possible paths forward: A) Narrow the scope to a single ticker or a small, fixed basket (e.g., back-testing an such as SPY or a pre-defined list) – something the current engine supports directly. B) Export the task to an external /R back-testing environment where we can code a custom cross-sectional routine. I can outline the full and the steps you (or your quant team) would need to implement. Let me know which you prefer, or if you’d like to discuss another way to approximate the idea within the tool limitations (for example, testing a “high-volume” if one matches your objective).