Texas Instruments Shares Fall 0.95% as $1.15 Billion Trading Volume Ranks 65th Among U.S. Stocks
Texas Instruments (TXN) closed on September 12, 2025, with a 0.95% decline, trading at a volume of $1.15 billion, ranking 65th among U.S. equities by turnover. The stock’s performance was influenced by mixed sectoral momentum and macroeconomic data that overshadowed its core market segments.
Recent earnings reports highlighted stable revenue from analog and embedded processing divisions, though analysts noted muted guidance for Q4. Supply chain resilience and inventory management were cited as operational strengths. However, broader market pressures from interest rate uncertainty and sector rotation into tech and AI-driven stocks diluted investor confidence in industrial and semiconductor names like TXNTXN--.
Technical indicators showed bearish divergence in short-term momentum, with RSI and MACD signaling potential exhaustion in the 170-175 dollar range. Institutional selling pressure, as inferred from block trade activity, further weighed on sentiment. No material regulatory or product-related developments were reported to directly impact the stock’s trajectory.
To run this back-test rigorously I need to pin down a few practical details that the tools (and the available market data feeds) require: 1. Stock universeUPC-- • All U.S. common stocks (≈4,000 names), or a narrower list such as the Russell 3000, the S&P 500 constituents, etcETC--.? • ADRs / ETFs included or excluded? 2. Rebalancing convention • Buy at that day’s close, sell at the next day’s close (standard) – OK? • Equal-weight across the 500 names each day (default), or volume-weight / value-weight? 3. Transaction costs • Ignore commissions/impact (default), or assume a round-trip cost (e.g., 5 bpBP-- per leg)? 4. Benchmark for comparison • SPY, equal-weight universe, or another benchmark? Once we lock these in I can: • Pull daily volume and price data for the chosen universe (2022-01-03 through 2025-09-11). • Generate the daily “top-500-by-volume” lists. • Calculate the one-day forward returns of the equal-weight basket. • Compile cumulative and risk metrics, then present the results in an interactive chart. Please let me know (a) which universe you’d like and (b) whether the default assumptions above are acceptable, and I’ll proceed immediately.


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