Intel Slips 0.65% Amid Restructuring and AI Push, Traders 17th in Market Activity

On October 6, 2025, Intel (INTC) closed down 0.65% with a trading volume of $4.12 billion, ranking 17th in market activity. The decline came amid mixed signals from recent business updates and sector dynamics.

Recent developments highlighted Intel's ongoing restructuring efforts, including workforce reductions in non-core divisions and accelerated investments in AI chip manufacturing. While cost-cutting measures aim to improve operational efficiency, market participants remain cautious about the balance between short-term cost savings and long-term R&D commitments. Analysts noted that the stock's performance reflects broader investor skepticism toward tech sector earnings resilience amid tightening monetary policy.

Technical indicators showed increased short-term volatility, with the 20-day moving average crossing below the 50-day line, signaling potential bearish momentum. Institutional selling pressure was observed in pre-market sessions, though retail investors maintained a net positive flow into the stock through after-hours trading platforms.

To perform this backtest accurately, I need a few clarifications about the strategy design and data universe: 1. Stock universe • Do you want to use all U.S.–listed common stocks, only constituents of a specific index (e.g., Russell 3000, S&P 1500), or another universe? 2. Entry & exit price • Should we “buy” at the same-day close (rank on today’s volume, enter at today’s close) and “sell” at next-day close? • Or buy next-day open and sell next-day close? • If you have a different convention, please specify. 3. Weighting & portfolio construction • Equal-weight each of the 500 names? • Any transaction-cost assumption (commission, slippage)? 4. Tool limitation notice • Our current backtesting engine evaluates one ticker at a time. • To analyze a 500-stock portfolio, I can: a) Build a daily equal-weighted index of those 500 names (synthetic ticker) and backtest that, or b) Provide aggregate return statistics computed externally (but cannot drill into individual names within this interface). • Please let me know which approach you prefer. Once I have this information I can set up the data retrieval and run the backtest.