12 stories tagged with #derivatives, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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OpenAI (Derivatives): Latest News, Social Media Updates and Insights - CryptoRank
Comprehensive up-to-date news coverage, aggregated from sources all over the world by Google News.…
Hyperscaler Debt Flood Brings Derivatives Bonanza
As big tech companies raise hundreds of billions of dollars to fund artificial intelligence investments, Wall Street banks are increasingly finding they have to trade more credit d…
Why the gradient is a list of partial derivatives
Building the gradient formula from scratch using a ski-slope picture, with minimal calculus assumed.…
Wall Street banks trade more credit derivatives amid big tech’s massive AI debt surge
CDS volumes tied to US tech firms surged 90% as hyperscalers borrowed $121 billion in 2025 for AI. Oracle's CDS spread nearly quadrupled.…
SEC and NFA sign MOU to enhance regulatory coordination on derivatives and securities oversight
The SEC and NFA signed an MOU to enhance regulatory coordination, reduce duplicative oversight, and improve information sharing on derivatives and securities.…
Crypto platforms rush to launch derivatives linked to SpaceX
NHL signs prediction market integrity memo with US derivatives regulator
Variational raises $50M Series A led by Dragonfly Capital to build zero-fee derivatives trading
Variational raises $50M in a Series A led by Dragonfly Capital to build a peer-to-peer derivatives clearing layer and zero-fee retail trading app called Omni.…
Variational, which has built a protocol for decentralized derivatives trading aimed at gathering liquidity from traditional markets, raised a $50M Series A (Jack Kubinec/Fortune)
CFTC appoints DJ Hennes as Director of Market Participants Division
The CFTC has appointed DJ Hennes as Director of its Market Participants Division, bringing crypto and prediction markets expertise from KPMG and Promontory.…
Universal Approximation of Nonlinear Operators and Their Derivatives
Derivative-Informed Operator Learning (DIOL), i.e. learning a (nonlinear) operator and its derivatives, is an open research frontier at the foundations of the influential field of …