Citigroup Stock Climbs 0.63% as Trading Volume Slumps 28.69% to Rank 80th in Liquidity

. 12, 2025, , . The bank's shares showed resilience amid broader market volatility, though reduced trading activity suggested tempered short-term investor engagement.

Recent developments highlighted potential catalysts for the stock. Regulatory scrutiny over compliance practices and ongoing cost-cutting initiatives remained focal points for analysts. While no material earnings surprises were reported, the firm's strategic focus on high-margin businesses and continued to attract institutional interest. Market participants noted that macroeconomic data releases and central bank policy updates could further influence positioning in the coming weeks.

To run this back-test accurately I need to pin down several practical details of the trading rule and the data universe: 1. Market universe • Are we looking at all listed U.S. common stocks (NYSE + NASDAQ + AMEX), or a different universe? 2. Ranking source & timing • Should the “daily trading volume” ranking be based on the same day’s close data (i.e., we form the list after the market closes, then trade at next day’s open), or do you want to assume perfect intraday knowledge and trade at the same day’s close? • Confirmation: we refresh the ranking every trading day and re-form the 500-stock basket each day. 3. Position sizing • Equal-weight across the 500 names each day? (Typical approach.) • Or another weighting rule (e.g., volume-weighted or market-cap-weighted)? 4. Execution & holding period • Entry: buy at next day’s open. • Exit: sell at the same day’s close (i.e., 1-day holding period). Please confirm this is acceptable. 5. Transaction costs / slippage • Should we include any assumptions (e.g., 2 bps each side), or ignore costs? Once these points are confirmed I can generate the necessary daily trading signals and run the back-test from 2022-01-03 to the latest trading day.