CoinQuant introduces trading infrastructure for the agent economy

The agent economy is reshaping financial markets. Open-source agent frameworks are accelerating autonomous financial activity, with AI agents increasingly executing trades, managing portfolios, and interacting directly with exchanges. Yet the financial  infrastructure supporting this shift has not evolved at the same pace. CoinQuant, the AI-powered no-code trading platform that has

CoinQuant trading platform has expanded its architecture to serve both human traders and autonomous AI agents. CoinQuant announced the expansion of its no-code trading platform into a unified trading intelligence architecture serving both human traders and autonomous AI agents. The…

See how NEAR’s dynamic resharding and quantum-safe signing can help shape the infrastructure layer for autonomous AI agents. Where the main technical and security trade-offs appear; and which practical steps builders can take to deploy AI-driven Web3 systems with stronger safeguards?

The post The agentic CFO in your pocket appeared on BitcoinEthereumNews.com. The next wave of financial disruption is not arriving as a better app or a cheaper brokerage built on decades-old infrastructure. It is a complete overhaul of the legacy system of rent-seeking middlemen and inefficient rails, ushered in by three forces converging at once: stablecoins as always-on digital cash, the tokenization of real-world assets from stocks to bonds to real estate, and autonomous AI agents capable of managing money. Together, they are about to put a turbo-charged CFO in every investor’s pocket. For generations, sophisticated treasury management has been the exclusive province of institutions and the ultra-wealthy. Large asset managers employ teams whose sole function is to ensure that not a single dollar sits idle, that every security generates income, and that every vote reflects their values. Retail investors have never had access to anything comparable. That is about to change. Think of i

Google's AI-driven search personalization could disrupt web traffic dynamics, challenging traditional ad revenue models and content visibility. The post Google to enhance search with AI-powered personalized answers appeared first on Crypto Briefing.

Alibaba’s Qwen team has unveiled Qwen3.7-Max, a flagship model built for the agent era. Unlike conventional chatbot-focused LLMs, it is designed as a foundation for autonomous AI agents that can code, debug, use tools, manage workflows, and execute long-running enterprise tasks. Alibaba claims the model can operate autonomously for up to 35 hours without performance […] The post Qwen3.7-Max: Alibaba’s New Agent-First LLM for Coding, Reasoning, and Long-Horizon AI Workflows  appeared first on Analytics Vidhya.

X's Creator Connect could redefine influencer marketing by streamlining brand-creator partnerships, potentially boosting ROI and democratizing access. The post X launches Creator Connect, an AI-powered matchmaking service for brands and creators appeared first on Crypto Briefing.

Salesforce appears to be on a mission to “decapitate” enterprise software. After unveiling headless commerce and headless applications, the company late on Wednesday extended the label to enterprise data management via Informatica, one of its more recent acquisitions, as part of its broader industry push to prepare enterprise systems for autonomous AI agents. While Salesforce has spent the past year stitching together Agentforce, Data Cloud, MuleSoft, Tableau, and its Customer 360 portfolio into what it describes as a unified AI operating layer, the headless architecture from Informatica, it said, fills a major gap around trusted enterprise data, including governance, metadata management, and lineage, all of which are required for AI agents to act with less human supervision. As part of this new architecture, Informatica said that it is effectively breaking apart its traditional Intelligent Data Management Cloud (IDMC) platform into reusable data management services that can be invoked