Alibaba Stock Surges 8% on $7.53 Billion Volume Ranked 11th as $3.2 Billion AI-Driven Convertible Bond Fuels Cloud and E-Commerce Expansion

, , . . , technology upgrades, and AI infrastructure, reflecting the company’s strategic focus on artificial intelligence as a growth driver.

The bond, maturing in 2032, , aligning with broader trends of increased convertible bond issuance in the Asia-Pacific region. , with CEO Eddie Wu highlighting early returns on AI investments. , underscoring the company’s aggressive capital allocation to secure a leadership position in AI-driven technologies.

Despite a temporary decline in U.S. shares on Wednesday, investor sentiment has improved year-to-date, . , signaling confidence in long-term returns from infrastructure development. , the sector’s high-growth potential continues to attract risk-tolerant capital.

To set up a rigorous back-test I need to pin down a few practical details that aren’t completely specified yet: 1. Universe • Do you want all U.S. common stocks (e.g., ≈ 4 000 tickers) or a specific index universe (e.g., Russell 3000, S&P 1500, etc.)? 2. Entry/exit convention • Buy at today’s close and sell at tomorrow’s close (close-to-close)? • Or buy at tomorrow’s open and sell at tomorrow’s close (open-to-close)? 3. Weights & capital • Equal-weight across the 500 names each day? • Any cash drag or is the portfolio always 100 % invested? 4. Costs & slippage • Should we include commissions or a fixed bid-ask spread (e.g., 1 bp each side)? 5. Benchmark • Would you like the back-test to include an equity-curve and risk metrics versus a benchmark such as the S&P 500? Once I have these items, I can generate the precise data-retrieval plan and run the back-test.