$12.180
+0.010 (+0.08%)終値時点
TTD のニュース
TTD のイベント
Trade Desk Shares Slightly Up to $12.18
Moderately bullish activity in Trade Desk (TTD), with shares up 0c, or 0.04%, near $12.18. Options volume relatively light with 14k contracts traded and calls leading puts for a put/call ratio of 0.27, compared to a typical level near 0.55. Implied volatility (IV30) is higher by 2.2 points near 56.34,and below the 52wk median, suggesting an expected daily move of $0.43. Put-call skew steepened, indicating increased demand for downside protection.
Trade Desk Shares Up 0.24% to $12.71
Moderately bullish activity in Trade Desk (TTD), with shares up 3c, or 0.24%, near $12.71. Options volume relatively light with 18k contracts traded and calls leading puts for a put/call ratio of 0.24, compared to a typical level near 0.52. Implied volatility (IV30) dropped 1.27 near 52.42,in the bottom quartile of the past year, suggesting an expected daily move of $0.42. Put-call skew flattened, suggesting a modestly bullish tone.
OptimizeRx Integrates Supply Path Optimization with The Trade Desk
OptimizeRx (OPRX) announced an integration with OpenPath, The Trade Desk's (TTD) supply path optimization solution, "making OptimizeRx's authenticated point of care inventory available directly to advertisers using The Trade Desk's leading, data-driven demand side platform," the company said.
The Trade Desk Expands Integrations with Veeva and IQVIA
The Trade Desk announced expanded integrations with healthcare analytics and measurement providers Veeva Crossix and IQVIA Digital. The enhancements give pharma advertisers more granular insights into campaign performance and new ways to apply those insights to media optimization and decisioning. Pharma analytics has traditionally focused on evaluating campaign effectiveness and identifying optimization opportunities outside the platform environment. The Trade Desk is helping shrink the gap between insight and action by bringing more healthcare data, greater choice and more granular measurement and optimization closer to media decisioning, giving advertisers the ability to apply learnings and make optimizations while campaigns are still running.
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