Baidu's AI-Driven Surge Lifts Stock 3.8% on 76% Volume Spike to $730M Entering Top 140 Most Active Stocks

, 2025, , . The stock’s performance aligns with renewed investor interest in Chinese AI-driven tech firms, as Baidu continues to expand its AI cloud services and autonomous driving initiatives. The company’s flagship Ernie Bot model and strategic investments in robotics position it as a key player in China’s AI ecosystem.

Baidu’s recent gains reflect its focus on integrating AI into core business segments, including cloud computing and smart assistants. . However, .

To run this back-test properly I first need to clear up a couple of practical details: 1. Universe definition • “Top-500 stocks by daily trading volume” needs a concrete ticker list for every day (e.g., NYSE + NASDAQ common shares only, or a predefined benchmark like the Russell 3000). • Our current back-test engine evaluates one trading instrument (one ticker or one benchmark index) at a time. – If you want a true 500-stock, equally-weighted portfolio we would need to pre-aggregate those 500 stocks into a single composite return series (which I can build, but it requires downloading and merging large amounts of price and volume data first). – Alternatively, we could approximate with an index/ETF meant to capture broad, high-liquidity U.S. equities (e.g., SPY, VTI, or an equal-weight index ETF) and simply test the one-day holding rule against that instrument. 2. Entry / exit mechanics • Enter at today’s close and exit at tomorrow’s close (classic one-day “overnight” hold)? • Or enter at the next day’s open and exit at that day’s close? 3. Risk controls • No stop-loss / take-profit (pure one-day hold) is common, but let me know if you’d like any additional guardrails. Please let me know your preference on: • Whether to proceed with a single index/ETF proxy, or build the full 500-stock composite (which will take a few extra steps to fetch and merge data). • Exact entry/exit convention you’d like. Once I have that, .