The Trade Desk's $900M Volume Plunge Sends It to 85th in Market Activity

Generated by AI AgentAinvest Volume Radar
Friday, Sep 12, 2025 7:45 pm ET1min read
TTD--
Aime RobotAime Summary

- The Trade Desk (TTD) saw $900M trading volume on 9/12/2025, a 27.32% drop from prior day's volume.

- This decline ranked TTD 85th in market activity, with 0.20% share price depreciation for the session.

- Effective back-testing requires defining universe scope (U.S. vs global), execution timing (daily rebalancing vs same-day entry), and cost parameters (commission/spread assumptions).

- Liquid benchmarks like Russell 3000 optimize volume ranking efficiency while avoiding exhaustive ticker screening.

On September 12, 2025, The Trade DeskTTD-- (TTD) recorded a trading volume of $0.90 billion, marking a 27.32% decline from the previous day’s volume. This placed the stock at the 85th position in terms of trading activity across the market. The stock closed with a 0.20% decline for the session.

To construct a precise back-test, several operational parameters require clarification. The selection universe must be defined—whether limited to U.S.-listed common stocks on major exchanges or expanded globally. If restricted to U.S. equities, the inclusion of OTC, ADRs, and SPACs must be addressed. Trade execution timing also needs specification: standard daily rebalancing typically ranks on the day’s close, enters the next day’s open, and exits at the following day’s close. Alternatively, a strategy might prefer ranking and entering on the same close, then exiting the next day’s close.

Transaction costs and slippage should be considered. While excluding these factors simplifies analysis, incorporating a per-trade commission (e.g., 0.01%) or a fixed bid-ask spread assumption could enhance accuracy. Practical volume ranking is another critical element. The "top 500 by volume" approach frequently includes large-cap names from indices like the S&P 500. To optimize efficiency, a liquid universe such as the Russell 3000 can serve as the baseline for ranking, avoiding the computational burden of a full exhaustive ranking of all U.S. tickers. Finalizing these parameters will ensure the back-test aligns with the intended strategy.

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