Mike Bellafiore says elite traders run on Playbooks, not instincts. Reading his book, I suddenly realized my AI system had been doing exactly that all along — just written in code instead of a notebook.
AI trading bots face five major security threats: supply chain attacks, API key leaks, Prompt Injection, model poisoning, and exchange API vulnerabilities. This article breaks down each attack vector from an engineering perspective and provides actionable defense strategies and security checklists to help developers build truly secure automated trading systems.
A firsthand account of deploying MiniMax M2.7 into a multi-agent AI system — why we switched from GPT-4o, the real cost difference between subscription and per-token billing, and three pitfalls of running open-source LLMs in a production agent environment.
From an RSI idea to real money trading—where does AI actually speed things up, and where is it completely useless? Sharing our 5-line framework’s actual development journey and psychological hurdles.
Built a trading agent in three days — AI sped up iteration, debugging, and documentation, but strategy intuition and risk judgment are still on you. A solo developer’s real observations, without the hype.
This article is a deep-dive from JudyAI Lab — an AI engineering playbook series with 100+ published guides, 5,000+ weekly readers across 60+ countries, focused on the practical side of running AI agents, trading systems, and content pipelines in production. On March 31st, I deployed an AI trading agent with one strategy, zero on-chain presence, and a score of 58 out of 100. Eleven days later, that agent sits at #5 on the leaderboard out of 58 registered teams, with a validation score of 98, a reputation score of 94, and — here’s the part I’m most proud of — a total drawdown of just 0.4% on a $100,000 portfolio through some of the choppiest market conditions we’ve seen all year. ...
Anthropic’s Claude Managed Agents offloads sandbox isolation, state persistence, and fault recovery to Anthropic, so developers only need to define agent logic. The three-layer decoupled architecture (Session/Harness/Sandbox) reduces p95 TTFT by over 90%, priced at $0.08/session-hour.
Anthropic launches Project Glasswing, investing $100M in AI credits and $400K in donations. Using the unreleased Claude Mythos Preview model, they discovered thousands of zero-day vulnerabilities in critical software worldwide, including a 27-year-old OpenBSD bug and a 16-year-old FFmpeg vulnerability.
In 2026, Embodied AI brings AI Agents from chat windows into the physical world. The VLA (Vision-Language-Action) unified architecture allows robots to understand natural language commands and plan actions in unfamiliar environments for the first time. NVIDIA provides the complete Isaac+GR00T toolchain, and teleoperation data collection significantly reduces training costs - the critical moment for AI software-hardware integration has arrived.
360’s security team found three critical OpenClaw vulnerabilities (CVSS up to 8.1) that let attackers bypass all tool permissions via prompt injection. 170K+ instances at risk, 340 malicious plugins on ClawHub. Here is what you need to patch now.