Palantir's $7.7 Billion Volume Surges to Top 10 U.S. Trading Rank as Institutional Frenzy Intensifies

, 2025, , ranking it among the top 10 most actively traded stocks in the U.S. market. The session saw mixed investor sentiment as strategic updates and enterprise contract developments shaped short-term positioning.

Analysts noted renewed focus on Palantir’s government sector contracts, particularly in defense and intelligence analytics. Recent client expansions in federal agencies have reinforced its role in large-scale data infrastructure projects. However, market participants remain cautious about near-term revenue visibility amid broader macroeconomic uncertainties.

Positioning patterns suggest active trading activity from institutional investors, with volume-weighted strategies dominating pre-market sessions. The stock’s liquidity profile aligns with its status as a high-beta asset in the AI infrastructure segment, though its performance remains decoupled from broader tech indices.

To build a rigorous back-test I need to nail down a few implementation details: 1. Universe • Do you want to rank all U.S. listed common stocks (our broadest default), or restrict to a specific index/universe? 2. Trade timing & price • Typical approach is: – Rank stocks on today’s closing volume. – Enter at next day’s open and exit at that same day’s close (a 1-day holding period). • Is that acceptable, or would you prefer entry/exit both at the close? 3. , or volume-weighted? 4. Transaction costs / slippage • Should we include a standard one-way cost assumption (e.g., 3 bps) or ignore costs? Once I have those points I can generate the signal file and run the back-test.