TE Connectivity Shares Climb 1.2 Percent Amid 22.65 Percent Volume Drop Ranking 304th in Active Stocks

On September 26, 2025, TE Connectivity (TEL) rose 1.20% despite a 22.65% decline in trading volume to $350 million, ranking 304th among active stocks. The movement followed a technical analysis report highlighting potential short-term support levels at $158.50 and resistance at $164.20, aligning with Fibonacci retracement patterns observed in recent volatility. A sell-side note from a non-named firm emphasized improved industrial demand forecasts for connectivity solutions, citing Q3 infrastructure spending data from the U.S. Commerce Department.

Market participants noted mixed sentiment in pre-market futures, with the S&P 500 index contract fluctuating within a 15-point range. A regulatory filing revealed TE's board approved a $2 billion share repurchase program, though no immediate impact on liquidity was detected. Analysts attributed the muted volume to seasonal trading patterns rather than fundamental catalysts, as earnings season for the sector had concluded two weeks prior.

To build and back-test this strategy rigorously I need to pin down a few details and confirm a workable implementation approach: 1. Universe • Which market should we draw the “top 500 by trading-volume” list from each day – e.g. all U.S. common shares (NYSE + Nasdaq), only S&P 500 constituents, or another universe? 2. Rebalancing mechanics • Do we open each position at that day’s open and exit at the next day’s close (i.e. a 1-day holding period), re-selecting a new top-500 list every trading day? 3. Data-volume constraints • Our back-testing engine operates on one ticker at a time. Implementing a 500-stock cross-sectional portfolio therefore requires us to create a daily “signal file” that lists, for every trading day, the tickers entering (open signals) and the ones to be closed the next day (close signals). • I can generate this file, but it will involve downloading daily prices & volumes for several thousand tickers to rank them each day. That is feasible; it just takes a few minutes and produces a large signal file. 4. Price type • Default would be “open” for entry, “close” for exit. Please confirm or adjust. If the above outline matches what you need, just confirm the universe (all U.S. stocks vs. a subset) and I’ll proceed to build the signal file automatically and run the back-test from 2022-01-03 through today. Let me know if you’d like any tweaks before we start the full data pull and back-test.