Risk Control

Testing reveals Kronos, a foundation model, does not outperform traditional Brownian motion in short-term Bitcoin price predictions, challenging assumptions about AI trading edges.

• EarnQA Team
• June 17, 2026

Forezai · TradingAgents launches a framework where a committee of large language models makes paper-trading decisions, advancing AI-driven trading research.

• EarnQA Team
• June 17, 2026

The promising BTC fair-value strategy collapsed after losing nearly all gains, leaving the entire AI trading fleet in the red.

• EarnQA Team
• June 16, 2026

A comprehensive taxonomy of failure modes in production agentic AI systems after one year of deployment, covering six categories and 15 specific modes.

• EarnQA Team
• June 16, 2026

A week into testing an AI trading bot, high win rates do not guarantee profitability. The experiment reveals complexities in market pricing and strategy edge.

• EarnQA Team
• June 16, 2026

Cybersecurity researchers have identified a backdoor embedded in a LinkedIn job posting, raising concerns about targeted hacking efforts and organizational security.

• EarnQA Team
• June 16, 2026

A sequence of three chained public vulnerabilities led to the May 2026 TanStack npm compromise, highlighting the speed of AI-augmented attacks.

• EarnQA Team
• June 13, 2026

A Roblox auto-farm cheat script downloaded by an employee led to a major security breach at Vercel, exposing customer credentials across multiple cloud platforms.

• EarnQA Team
• June 13, 2026

Analysis of how ShinyHunters has evolved into a new operational threat, emphasizing AI-enabled capabilities and a scalable criminal model.

• EarnQA Team
• June 13, 2026

An analysis of the widespread OAuth permission issues that enable supply chain attacks, with parallels to SQL injection vulnerabilities and implications for enterprise security.

• EarnQA Team
• June 13, 2026