Upstart Stock Surges 2.62% on $710M Volume Climbs to 174th in Market Activity

Shares of Upstart (UPST) surged 2.62% on October 1, 2025, with a trading volume of $0.71 billion, marking a 35.34% increase from the previous day. The stock ranked 174th in trading activity across the broader market. Recent developments suggest heightened investor interest in the fintech company amid evolving market dynamics.

Analysts noted that Upstart’s performance aligns with broader trends in the AI-driven lending sector, where the firm has positioned itself as a key player. Strategic partnerships and regulatory clarity in credit scoring technologies have bolstered confidence, though market participants remain cautious about macroeconomic headwinds affecting consumer credit demand.

To run this back-test cleanly I’ll need to pin down a few practical details that aren’t yet specified: 1. Market universe • Are we talking about U.S. listed shares (NYSE + NASDAQ), China A-shares, or another market? • If it’s the U.S. market, do you want all common stocks, or a preset universe such as the Russell 3000? 2. “Top 500 by daily trading volume” • Should the ranking be based on share volume or dollar volume (volume × close price)? • Do you want the list re-selected every trading day (i.e., buy today’s top 500 at today’s close, sell them at tomorrow’s close)? 3. Portfolio construction • Equal-weight across the 500 names each day? • Any transaction-cost assumption (commissions/slippage) to apply? 4. Practical constraint • Our current back-test engine handles a single security or a list of event dates; it doesn’t automatically build and rebalance a 500-stock portfolio each day. • If you need a full multi-stock simulation, we can either (a) approximate with a liquid ETF proxy, or (b) export signals for an external portfolio engine. Let me know which direction you prefer. Once I have these details I can recommend the cleanest path forward (or suggest work-arounds) and proceed with the data retrieval and back-test.