Robinhood is enabling AI agents to trade stocks and make payments on users’ behalf, marking a significant push into agentic finance. Users can now create dedicated accounts for their AI agents, preload them with funds, and connect them via the platform’s Model Context Protocol server to execute trades, analyse portfolio risk, and identify new investment […]
The launch of OTL could significantly enhance global scalability and interoperability in digital finance, reducing operational complexities.
The post Fireblocks, Robinhood, MetaMask join crypto giants to launch Open Transaction Layer appeared first on Crypto Briefing.
The post Trading Sphere Review: What Trading Platforms Does Trading Sphere Offer? appeared on BitcoinEthereumNews.com.
This Trading Sphere Review explores the trading platforms offered by the broker and how they support different trading styles in 2026. For beginner traders, especially, platform usability is important because it affects market analysis, trade execution, and overall trading experience. Trading Sphere provides access to forex, commodities, indices, stocks, cryptocurrency CFDs, and more through popular trading platforms. Instead of building a custom platform, the broker relies on widely recognized systems already familiar to many traders in the CFD industry. In this review, the focus is on platform functionality, supported devices, charting tools, and whether the trading environment is practical for both beginners and experienced traders. What Trading Platforms are Available in this Trading Sphere Review? One of the most important areas covered in this Trading Sphere Rev
Snowflake said it plans to acquire US-based startup Natoma to boost governance, security, and connectivity for AI agents operating across heterogeneous enterprise environments, amid growing efforts by organizations to move agentic AI workflows from pilots into production.
The cloud data platform provider is betting that enterprises will increasingly require centralized governance, identity controls, and auditability as AI agents begin interacting more deeply with internal applications, APIs, and business workflows through the emerging Model Context Protocol (MCP) standard, an area in which Natoma claims to specialize.
Natoma’s platform, which provides MCP-based tool access along with governance and observability capabilities, will be integrated into Snowflake to help enterprises securely connect Cortex Agents, Snowflake Intelligence, Cortex Code, and other AI platforms with enterprise systems spanning SaaS applications, cloud environments, VPCs, and on-premises infrastructure through M
Attackers drained an estimated $200,000 from DeFi liquidity pools on Ethereum — specifically Uniswap V3 — after exploiting weaknesses in the WUSD.fi and GLOVE incentive system, according to security researchers at ExVul. The attackers cycled funds through multiple wallets to repeatedly farm rewards, taking advantage of flaws baked into the protocol’s incentive structure. Related Reading: […]
The rapid uptake of agentic AI has exposed a range of issues with our non-deterministic helpers. That’s mainly because AI agents are not people and don’t behave like people, even though they generally use the same APIs as humans. For one thing, they make many more queries than a human would, as they build the necessary context to deliver a response.
Anecdotal data from companies that have worked with agents or who have users who access services through agents indicate that this can mean massive increases in API usage, which have affected availability. This increase is the result of automated requests flooding in and blocking calls and responses from APIs that worked perfectly well a year or so ago but now are struggling to cope with the load.
A fundamental redesign of our APIs is necessary, but budgets, resourcing, and capacity make this hard to deliver overnight. What’s needed, then, is a way to manage agent interactions with APIs, treating agents as a new class of user, providing and
Fujitsu has announced a self-evolving multi-AI agent system in which teams of AI agents continuously improve their own performance by learning from operational results, human feedback, regulatory changes, and specification updates — without requiring constant intervention from human experts. The core innovation is the agents’ ability to identify the reasons behind both successes and failures, extract actionable […]
Geopolitical tensions heighten market volatility, impacting global supply chains and inflation, while crypto markets show mixed resilience.
The post Stocks drop and oil spikes as renewed Middle East attacks rattle markets appeared first on Crypto Briefing.
Given that the stock trading app operates in a highly regulated industry, the company’s move to use agents could prompt other finance firms to take a bold step and do the same.