TSMC Slumps 1.4% on $4.66 Billion Volume as Profit-Taking Follows AI-Driven Rally, Ranked 23rd in Daily Turnover

On September 19, 2025, , ranking 23rd in the day's overall market turnover. The decline occurred despite strong institutional buying activity observed in pre-market hours, as large-cap technology stocks faced broad-based profit-taking following a three-day rally driven by AI infrastructure demand.

Analysts noted mixed signals in the company's earnings call transcript released earlier in the week, . Short-term technical indicators showed oversold conditions developing, , though bearish momentum indicators suggest further downward pressure before potential stabilization.

The stock's performance correlated with broader semiconductor sector rotation, as investors shifted capital toward memory chip manufacturers showing stronger near-term order visibility. , with no significant insider transactions reported according to SEC filings.

To build and back-test this “Top-500 by daily volume” strategy rigorously, I need a bit more detail and (given the tools available) to confirm a practical implementation plan: 1. Universe • Which market/exchange should we draw the 500 stocks from (e.g., all U.S. common stocks on NYSE + NASDAQ)? 2. Ranking metric • Rank by share volume or by dollar volume (price × shares)? 3. Execution convention • Buy at the close on the ranking day and sell at the next day’s close (uses known volume data but assumes same-day execution), or buy at next day’s open and sell at the close (avoids look-ahead bias but introduces an overnight gap)? 4. Transaction costs / slippage • Apply any, or assume frictionless trading? 5. Tool-set limitation • The current back-testing engine handles one ticker at a time. To approximate a 500-stock portfolio, I would aggregate the daily equal-weighted returns into a (handled off-tool) and then run the engine on that synthetic series. This is feasible, but please confirm you’re comfortable with that approach. Let me know your preferences on the points above, and I’ll proceed to construct the data-retrieval plan and run the back-test.