Palantir's PLTR Tumbles 1.13% on $11.5B Surge in Volume, Ranks 4th in U.S. Stock Turnover

Generated by AI AgentAinvest Volume Radar
Wednesday, Sep 17, 2025 9:08 pm ET1min read
Aime RobotAime Summary

- Palantir's PLTR fell 1.13% on Sept 17, 2025, with $11.5B volume—4th highest U.S. stock turnover.

- A multi-year U.S. federal agency contract raised revenue hopes but undisclosed terms limited market optimism.

- Technical indicators show RSI below 50 and mixed institutional positioning amid high volatility.

- Sector remains sensitive to macroeconomic shifts as interest rate expectations drive trading dynamics.

On September 17, 2025, , . The surge in liquidity reflects heightened market participation despite the share price retreat.

Recent developments highlight strategic shifts within Palantir’s defense sector partnerships. A newly announced multi-year contract with a U.S. federal agency has drawn investor scrutiny, with analysts noting the agreement’s potential to solidify recurring revenue streams. However, the lack of disclosed financial terms has tempered immediate market optimism.

Technical indicators suggest short-term volatility remains elevated. , signaling bearish momentum, while volume patterns indicate mixed institutional positioning. These dynamics underscore the sector’s sensitivity to macroeconomic signals amid shifting interest rate expectations.

To set up this back-test rigorously, I’ll need a few extra details about the trading rules and the investable

. Could you please confirm (or amend) the following points? 1. Universe: Do we rank every U.S. listed common stock each day, or only a specific universe (e.g., S&P 500, Russell 3000, NYSE-listed, .)? 2. Trade execution prices: Entry—use that same day’s close, or the next day’s open? , or the next day’s open? 3. Transaction costs & slippage: Assume zero for this first pass, or specify a per-trade cost / basis-point slippage? 4. Any risk-control constraints (position sizing, maximum notional, etc.) or is it an equal-weighted top-500 basket every day? Once I have these details, I can generate the data-retrieval plan and run the daily rebalanced back-test from 2022-01-01 to today.

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