GE Ranks 66th in Dollar Volume Amid 30.11% Drop in Daily Trading Activity as Stock Gains 0.50%

. 15, , , . The stock ranked 66th in dollar volume among U.S. equities, reflecting uneven liquidity in the sector. Meanwhile, , aligning with broader energy transition themes as investors assessed its role in decarbonization initiatives.

Recent developments highlight strategic shifts within the conglomerate. A restructuring plan announced in August aims to streamline operations by divesting non-core assets, with a focus on accelerating growth in renewable energy and digital infrastructure. Analysts noted that the move could enhance operational clarity but may face near-term execution risks. Additionally, a partnership with a European energy firm to develop offshore wind projects has drawn investor attention, though timelines for revenue impact remain unclear.

To run this back-test precisely we need to generate, , , buy it at the close (or next open), hold one session, then sell and repeat. Our current tool-set can back-test one ticker (or one predefined basket) at a time, but it doesn’t yet automate daily cross-sectional selection across the entire market. Before I propose a workaround, could you clarify: 1. Universe • Should we consider only stocks in a specific index (e.g., all NYSE + NASDAQ listings, or the S&P 500 constituents), or literally every U.S. common stock? 2. , ? 3. , or next day’s open? 4. Is an approximation acceptable (e.g., limit the universe to a provided list of tickers), ? Once I have this, I can tell you whether we can implement it directly with our tools or offer an accurate proxy.